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Warehouse Cargo Agent - Heathrow \n Right Now Group are recruiting for Warehouse Cargo Agents to join a leading cargo ground handling company based at Heathrow Airport. \n This is an excellent opportunity to join a prestigious ground handling organisation, working within a busy warehouse environment alongside major airline partners to ensure air cargo is handled safely, securely and efficiently. \n The successful candidates will be responsible for handling incoming and outgoing freight, operating warehouse equipment, processing cargo documentation and supporting the build-up and breakdown of Unit Load Devices (ULDs). Previous warehouse or air cargo experience would be advantageous, and a valid counterbalance forklift licence is essential. \n Salary, Location & Working Hours \n\n • Salary: £32,000-£33,000 per annum.\n, • Location: Heathrow Airport.\n, • Shift Pattern: 4 on / 4 off, consisting of 2 day shifts followed by 2 night shifts.\n, • Day Shifts: 06:30-18:30.\n, • Night Shifts: 18:30-06:30.\n\n Key Responsibilities of a Warehouse Cargo Agent \n\n • Load and unload vehicles carrying a variety of air cargo using counterbalance forklifts and other mechanical handling equipment.\n, • Carry out manual handling duties as required, ensuring freight is handled safely and securely.\n, • Use handheld scanners and warehouse systems to locate, identify and track cargo accurately.\n, • Process cargo documentation and operational paperwork in line with company and airline requirements.\n, • Assist with the build-up and breakdown of ULDs, including PAGs, PMCs and AKEs.\n, • Inspect incoming and outgoing cargo for damage, discrepancies or other issues, reporting concerns to the appropriate team.\n, • Ensure cargo is labelled, stored and positioned correctly within the warehouse.\n, • Work closely with warehouse colleagues, supervisors and airline representatives to ensure cargo movements are completed efficiently.\n, • Maintain high standards of accuracy, security and organisation throughout all warehouse operations.\n, • Follow all company procedures relating to health and safety, cargo security and manual handling.\n\n Skills & Experience Required for a Warehouse Cargo Agent \n\n • A valid counterbalance forklift licence is essential.\n, • Previous warehouse, freight handling or air cargo experience would be advantageous.\n, • Experience operating material handling equipment within a busy warehouse environment is desirable.\n, • Good attention to detail when checking cargo, handling documentation and identifying discrepancies.\n, • Ability to work effectively as part of a team in a fast-paced operational environment.\n, • Good understanding of health and safety procedures, including safe manual handling.\n, • Reliable, flexible and comfortable working a rotating day and night shift pattern.\n, • Ability to follow instructions and maintain high standards of security and operational accuracy.\n\n Pre-Employment Security Checks \n Due to the nature of the role and the airport environment, successful candidates must be able to complete the required pre-employment checks, including: \n\n • A full five-year checkable employment and education history.\n, • A DBS criminal record check.\n, • Any additional airport security screening required for the position.\n\n If you're looking for an opportunity to develop your career in air cargo and warehouse operations, hold a valid counterbalance forklift licence and are comfortable working rotating day and night shifts, apply online today!

Our client is looking to recruit a Logistic Coordinator, mainly Air Export Operator, any Import experience advantage. Dealing with Biopharma, Time Critical & Aerospace business sector. \n \n Working in a small Operations team, friendly team which consists of people with a hands-on and proactive approach to executing and delivering high-quality work within a complex logistics profile enabling them to drive the business forward. \n \n This position is a good opportunity to join a well-established company which is part of the larger group, develop all round ‘specialty’ logistics skills with a knowledgeable team, & a good opportunity to advance with a growing company. \n \n JOB SUMMARY \n Responsible for coordinating the flow of goods to the UK & 3rd Countries for International Clients. To ensure that all parties involved in the Import transportation process are kept informed about its status, and they work to resolve any issues that may arise during transit. \n \n Good Air Export start to finish experience required for the role, you will also support the Import team when needed so any Import experience advantage. \n \n RESPONSIBILITIES AND DUTIES \n\n • Arranging UK Export & UK Import Shipments from Clients & International Partners\n, • Communicating with clients / agents for shipping details such as pickup times, shipping method, delivery date, and any special requirements. Scheduling shipment dates and times to meet customer needs.\n, • Preparing and reviewing shipping documents, including AWB, packing lists, and commercial invoices in line with UK Custom clearance protocols\n, • Coordinating the transportation of goods with our trusted hauliers / own transportation team\n, • Communicating with Airline, Freight forwarders, customs brokers, and other transportation providers to ensure that shipments are delivered on time and within budget.\n, • Determine the most efficient transportation routes and methods.\n, • Monitor shipments for compliance with regulations and international trade laws specifically in relation to pharmaceuticals.\n, • Maintaining records of all Import transactions, including tracking shipments and preparing reports on shipping costs and delivery times.\n, • Ensuring compliance with industry regulations, including obtaining necessary licenses and permits from UK Exporters\n, • Keeping up to date with changes in trade laws and regulations.\n, • Resolving any issues that arise during the UK Export & Import process, such as customs delays or shipment errors.\n, • Ensuring time critical and temperature-controlled cargo is stored at the correct temperature at both airline and within our own facility.\n, • Liaising with UK Road Transport Companies for EU Road Movements\n\n \n QUALIFICATIONS AND SKILLS \n Good communication skills, both written and verbal. \n Sequoia CDS / any other customs software knowledge. \n Attention to detail. \n 5 Year checkable work record \n DBS Check in line with Regulated Agent Accreditation. \n Dangerous Goods by Air (Full training given) \n \n Due to location Car Driver required. \n \n SALARY: : £28-33k depending on experience \n Monday to Friday. 8-5pm or 9-6pm \n Holiday: 4 weeks plus Bank Holiday \n Pension: Nest pension with employer contribution \n Overtime: Evening/Weekend hours available after full training \n \n \n\n • If you do not hear from us within 7 days, then your application has been unsuccessful.\n\n

About usAt Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.Introducing the Trainline MLOps Team Our MLOps team helps machine learning (ML) and AI teams across Trainline build, launch and run their products reliably. As a Senior MLOps Engineer, you will help shape how we operate AI and ML systems, including the infrastructure and tooling behind our internal ML/AI platforms and our customer-facing products. You will work on systems that are already being built and used across Trainline, so your impact will be real and visible. No two weeks look the same: one day you might be building out our ML platform, the next helping shape the architecture of our multi-agent AI products, and the next improving the developer experience with new tooling and standards. This is a hands-on role with technical leadership at its core. You will join an established team, working alongside our MLOps Engineering Manager and a small group of engineers, as we support a growing number of ML and AI teams. There is genuine scope to influence our technical direction, develop our engineering practices and mentor junior colleagues.In this role as the Senior MLOps Engineer, you will... Take a leading technical role in helping teams across Trainline adopt and operate ML and AI tooling as the technology evolvesSupport AI infrastructure, working with the teams building our internal platform and customer-facing products, making sure products are well governed, monitored and deployed through automationBuild and drive adoption of one standard way to deploy ML and AI products, so that new products onboard quickly and reach production fasterAutomate the modernisation of our services across products, including fixing and preventing security vulnerabilities in libraries and dependenciesStrengthen our MLOps foundations by improving cost tracking, finding ways to reduce costs, addressing security vulnerabilities and standardising engineering practicesContribute to technical strategy, evaluating options and making well-reasoned decisions where there is no established approachCommunicate technical decisions clearly and help prioritise requests from the ML teams we supportMentor fellow engineers and share knowledge through documentation and enablement across the organisationWe’d love to hear from you if you have...Hands-on experience with IaC and CI/CD tooling, ideally Terraform and GitHub Actions, though alternatives such as AWS CloudFormation and Jenkins are also relevantExperience with containerised workloads using Docker and cloud platforms, ideally AWS, though GCP and Azure will be consideredExperience productionising AI products, including agentic systems and the AIOps tooling behind them, ideally using AWS Bedrock AgentCore or similarExperience with managed or self-hosted ML infrastructure, such as Amazon SageMaker, feature stores (e.g. Feast) and DAG tooling (e.g. Airflow, Metaflow, or similar)Experience with model experiment tracking, ideally MLflow or Weights & Biases, and with monitoring tools such as EvidentlyAI, CometML, Grafana or New RelicExperience writing production-quality, tested Python codeExperience leading or contributing significantly to major platform changes and migrations, and the ability to lead technical work through ambiguityClear communication, sound prioritisation, and a track record of getting other teams to adopt shared standards and of mentoring colleaguesNice to have's... Knowledge of cloud topics such as networking fundamentals (VPC, security groups, CDN, WAF, etc.) and identity and access management (IAM, EntraID, SSO, etc.)Experience with any of our wider tech stack and partners, including Spacelift, Braintrust and ElevenLabs.More information:Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy.Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor! Compensation Range: 80K - 107.5KLocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentTechnologyDataCompensation80K – 107.5KThe top end of the starting salary range may not always be the top end of our banding. If you're unsure, you can check with one of our recruiters.Explore all our fantastic benefits here!

At Signal AI, we use cutting-edge AI technology to offer clarity on decisions that shape businesses and society. We value restless curiosity, creative thinking, and diverse perspectives as we strive to become AI-native. We believe that AI is a collaborator, not just a tool, and we invite passionate individuals to join us on our journey as we continue to learn, experiment, and grow together. Engineers at Signal AI are expected to bring a strong product mindset to their work. They’re comfortable with complex problems and proactively look for ambiguous ones rather than wait for others to resolve them, and work wherever the product needs them across the full stack. Engineers work closely with other disciplines, including applied research and design, as part of teams that own revenue‑critical products from ideation through to production. Owning a product end to end means much of an engineer’s time goes on understanding the problem: talking to colleagues in research, design and product, testing assumptions, and deciding what is worth building. Our engineering teams are organised around the needs of the business. We value collaboration and teamwork, and we believe the best solutions to complex problems come from working together. You will work primarily within a small cross‑functional team, contributing to its architecture and to engineering standards. You will provide clear, focused technical plans for current and future solutions, and you will keep the long‑term technical vision in view. AI‑assisted development is part of everyday work across the organisation. We expect engineers to use tools like Claude Code to move quickly across the entire software development lifecycle, so more of their time is spent on the product questions that matter. Building intuitive user interfaces and data visualisations that unlock valuable insights for our customers. Building services that can cope with large volumes of data. Implementing and maintaining the AWS infrastructure that supports the services owned by the team. Build, maintain and evolve large‑scale distributed systems, ensuring they remain resilient. Building observability into everything you ship (logging, metrics, alerting). Owning BAU in your primary domain and building enough operational familiarity with the other domains to support incidents, understand cross‑domain interactions, and describe architectural boundaries. Collaborating with Product and Design to define and scope the products we build. Communicating with other teams and stakeholders when needed. Working in a collaborative environment. Pairing for most of your time, giving and receiving reviews, and helping to uphold the team’s shared quality standard. This is not specifically an AI Engineer role, but every senior engineer in this team is expected to be AI‑literate, in two directions: using AI to build better, and building AI into the product responsibly. Keep your practice current. Use current models, coding agents and agent tooling in your daily work, and re‑test earlier assumptions as capabilities change; what was unreliable six months ago may be routine today. Open mind, evidence‑led. Give a new tool, pattern or model a fair chance and evaluate it against our own codebases and workflows before ruling it out. Push back when something is presented as a silver bullet and adopting it would bring more risk, or more change, than the team can absorb. Make both calls on evidence, not on instinct or hype. Quality bar parity. Agent‑generated code and content are held to the same standard as human work. Review it, test it and secure it the same way. Build to learn. A working prototype in front of a Product owner or a customer beats a slide. Be as willing to report a disappointing result as an exciting one, and kill weak ideas early. Design the human checkpoints and watch the cost. For agentic features, define what the system may decide alone, what needs approval and what escalates, and keep token and run costs visible alongside the value delivered. Share what you learn. Contribute to how the team adopts AI across the whole lifecycle (planning, review, testing and release, not only coding) and share your findings with the team and the wider P&T group, so practice spreads beyond one person. Thriving in Dynamic Environments: If you thrive on stability and predictability, you might find our dynamic environment challenging. Our team frequently adapts to changing priorities, which can be incredibly exciting and rewarding for those who enjoy a fast‑paced, ever‑evolving workplace. Versatile Skill Set: We value versatility and the ability to work on both back‑end and front‑end development, and across two product domains. If you are passionate about expanding your skills across different areas, you'll find this role enriching and fulfilling. Collaborative Communication: Our culture emphasises building strong communication paths with various teams and stakeholders, including the Editorial team that depends on our tooling every day. If you enjoy collaborative problem‑solving and sharing insights, you'll fit right in. Team‑Oriented Programming: We encourage pair programming and team collaboration over solo work. If you find joy in teamwork and learning from peers, you'll thrive here. Flexible Coding Approaches: While we respect the discipline of TDD, we also appreciate flexible and innovative approaches to coding, and we prioritise observability over exhaustive test coverage. If you're open to experimenting with different methodologies, this role offers a great opportunity to broaden your horizons. Leveraging AI: We're not just building AI products; we use AI to build better. We expect our engineers to actively explore and adopt AI tools that make them more productive, and to keep their critical thinking switched on while doing it. Owning Our Systems: When something goes wrong in production, we don't point fingers. We fix it, learn from it, and improve our observability to catch it earlier next time. If these aspects align with your professional values and aspirations, we believe you'll find a rewarding career with us at Signal AI. At Signal we want to help organisations identify risks and opportunities and see movements in the market before anyone else. We want to help leaders make bold decisions, safe that the data is on their side. We want to connect all those external data points together, uncover the unknown unknowns, and be at the very heart of the knowledge economy. We’ve already built a world‑class artificial intelligence platform for real‑time information aggregation and analysis at a massive scale. We proved our value with monitoring and measurement products in the PR & Comms space, and are now joining the dots beyond. We are friendly and informal people who are passionate about our brand as we all have a stake in our success. We have an inclusive environment, welcoming the skills and experience from many diverse backgrounds, and together we have created who we are and what we sell. We are proud of our achievements and continue to strive for the unknown. Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role. We're dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard—a place where you can truly thrive as yourself. #J-18808-Ljbffr

Location: London, UK, near London Bridge. Hybrid, 2 in-person days a week. Compensation: £120k base salary plus equity Visa Sponsorship: Available for the right candidate Start Date: As soon as possible Every decision a business makes, from the suppliers it trusts to the risks it accepts, eventually shows up as spend. This makes spend data the most honest record of how a company operates. Not the strategy deck or the org chart: spend describes what really happened. This record exists, but it's scattered across dozens of systems and decades of legacy technology. Companies spending billions a year still can't easily answer: Who are our suppliers? Where are we exposed? What are we paying for twice? We believe a business that can't see itself clearly can't make great decisions. Deducta exists to give the world's most complex organisations a true picture of how they operate, and the intelligence to act on it. Our ambition is to become the category-defining platform for enterprise data intelligence. Most tools start and stop with dashboards. We start with the hard part: turning fragmented, messy enterprise data into a consistent foundation people can trust. Then we use AI to make it conversational, so anyone in the business can ask a question and get an answer they can act on. We're well funded, growing fast, and have already processed more than £1 trillion of spend for some of the world's largest and most recognisable companies. Our partners use Deducta to deliver major business transformations orders of magnitude faster. The data is only half the story. As AI gets better at analysing large volumes of data, the hard part shifts to the product: helping customers explore and understand what the model finds, designing for trust, and turning insight into action. You’ll shape how customers work with agentic AI, balancing the stability and reliability enterprises expect with the new, agent-driven experiences we’re building at the cutting edge. You’ll have real autonomy in how you approach it, working in a small, high-trust team with genuine influence over product, architecture and how engineering grows. Design, build and ship high-quality frontend experiences across Deducta's platform. Work directly with customers to understand their problems, and turn those insights into product decisions. Build interfaces that make large datasets, dynamic metrics and AI-generated analysis clear and useful. Design for the limits of AI, so customers know when to trust an answer and how to check it. Push the boundaries of applied AI, both in the product and in how we build it. Own problems end to end, from definition to deployment, making sound calls on architecture, usability, performance and maintainability along the way. Customers go from data to decisions: Features you've shipped help customers explore AI-generated analysis and act on it, not just search through data. Trustworthy AI experiences: Customers can see where an answer came from and when to check it, so their confidence in Deducta grows as they use it more. A product foundation others build on: The components and patterns you've built are fast, consistent and reused across the product by the team. You're a senior product engineer who cares as much about the problem as the code, and takes ideas all the way to production. You don't need a background in enterprise data or procurement. We care about how you think and the quality of the products you've built. Strong JavaScript and TypeScript fundamentals, with experience building high-quality frontend applications. Experience making complex data, information or workflows easy for people to understand and act on. A clear view of what AI systems can and can't do, and how good product design accounts for outputs that aren't always right. Sound judgement on architecture and product trade-offs, and the ability to explain the reasoning behind your decisions. A track record of owning problems from investigation through to production. High standards for testing, code quality and maintainability, and clear communication with engineers, customers and stakeholders. A founder mindset: you see a problem and feel empowered to work out how to solve it. We care most about how you think, the quality of your work and how you approach unfamiliar problems. Previous startup experience isn't essential, but the pace, initiative and judgement to thrive in one are. We believe in freedom and responsibility. We set clear priorities, share the context and trust people to decide how to deliver. You'll thrive here if you value: Ownership: You own the outcome, not just the task. You deliver what you commit to, follow through when things get difficult, and own your mistakes. Unreasonable hospitality: You treat prospects, clients and teammates with exceptional care as a default. You anticipate needs, communicate with clarity, and help others succeed. Bias for action: We don’t have every answer upfront. You move things forward without waiting to be asked, take calculated risks, and adapt as you learn. Craft: Moving quickly matters, but so does doing work that stays clear, reliable and useful as we grow. System building: You create leverage beyond your own output, building processes, tools and documentation that others reuse and that keep working without you. Candor: You tell the hard truth early, give and receive feedback thoughtfully, ask for help when you need it, and push back when priorities need to change. Curiosity about AI: You’re excited by what applied AI makes possible, and you look for ways to use it in your own work. As an early team member, you'll help shape our culture, our processes and where Deducta goes next. We're growing quickly, and this role will grow with us. Intro call Background interview Technical interview Final interview Offer, referencing and start Help the world's biggest businesses finally see themselves clearly. #J-18808-Ljbffr

We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process This is a rare opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement), you’ll shape how intelligent agents are designed, orchestrated, and deployed across the organisation - moving beyond traditional AI use cases into systems that can reason, act, and collaborate to drive real business outcomes. You’ll play a pivotal role in turning emerging capabilities into scalable, production-grade solutions, defining how AI agents augment teams, accelerate decision-making, and unlock entirely new ways of working. You’ll operate in a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation, you’ll drive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact - someone who can design architectures for intelligent systems, while also building the relationships and momentum needed to scale them enterprise-wide. If you’re excited by the challenge of shaping how autonomous AI systems are safely and effectively adopted at scale, this is a chance to define the future direction of AI within a complex, evolving organisation. • Lead, grow, and deploy a multidisciplinary team of Forward Deployed AI Engineers across key business domains, • Allocate engineering capability across strategic initiatives based on business priority and impact, • Establish and embed best practices for agentic systems, AI workflows, LLM integrations, and AI-enabled tooling, • Drive a high-performance engineering culture focused on rapid iteration, reliability, and measurable business outcomes, • Act as the primary AI engineering partner to senior stakeholders across Product, Fashion, Supply Chain, Finance, Customer Care, Procurement, and Technology, • Translate complex business challenges into scalable AI solutions and prioritised delivery opportunities, • Shape and align AI roadmaps with domain leaders, identifying high-ROI automation and augmentation use cases, • Lead end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms, • Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models, • Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design, • Ensure AI systems are scalable, secure, observable, and cost-efficient, with robust evaluation and reliability frameworks, • Partner with platform teams to align with Azure AI strategy, governance, and enterprise engineering standards, while establishing scalable delivery and operational models, • Partner with functional leaders to support reshaping and evoling hybrid-human agentic organizations, • Our strong preference is for candidates to have exposure to working in a Retail environment., • Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems, • Strong hands-on expertise in AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design, • Track record of taking AI or advanced technology solutions from concept and prototype through to scalable production deployment, • Experience working at the intersection of engineering and the business—translating strategic goals into technical delivery, • Demonstrated ability to partner effectively with senior stakeholders and influence across multiple domains in a large, complex organisation, • Experience shaping roadmaps, prioritising work, and driving alignment across product, engineering, and business teams, • Strong stakeholder management and communication skills, with the ability to build credibility quickly and drive adoption of new capabilities, • Experience leading or contributing to enterprise transformation initiatives, particularly where new technologies are being introduced at scale, • Strong understanding of modern AI architecture patterns (e.g. LLM applications, orchestration, RAG, agentic workflows) and cloud-based delivery environments, • Experience working in cloud-first environments, ideally within Microsoft Azure (including Azure AI services), or equivalent platforms (AWS/GCP), with the ability to operate effectively in an Azure-aligned ecosystem, • Experience establishing engineering standards, delivery frameworks, and best practices within growing or evolving teams, • A track record of delivering measurable business impact through technology—balancing speed, quality, and commercial outcomes, • Experience operating in hybrid leadership roles that combine technical depth, delivery ownership, and organisational influence, • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 3 days a week in the office. It’s a rhythm that speeds up decision‑making, helps ASOSers learn from each other more quickly and builds the kind of culture where people can grow, create and succeed. Want to find out how we’re tech powered? Check out the ASOS Tech Podcast here show/6rT4V6N9C7pAXcX60kzzxo .Prefer reading? Check out our ASOS Tech Blog here asos-techblog. #J-18808-Ljbffr

Publicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide. Performics is the Performance Centre of Excellence within Publicis Groupe, delivering technology, data, and AI-driven marketing solutions for global brands. OneSuite is our unified marketing intelligence and automation platform powering agentic workflows, data processing, analytics services, and channel automation across Search, Social, Programmatic, Commerce, and Measurement. Backend engineering is foundational across all OneSuite — providing the APIs, integration layers, orchestration runtimes, and backend systems that power every charter, from Agent Studio to AOE, DFP, Channels, and SRE. We are seeking a Senior Backend Engineer (Individual Contributor) to lead the design, development, and evolution of backend systems across OneSuite. This is a hands‑on engineering role — you will write production‑grade code, solve complex distributed systems problems, shape backend patterns, and guide other engineers through technical influence (not supervision). As a Senior IC, you will help define service architecture, enforce engineering best practices, and collaborate across multiple charters to ensure OneSuite’s backend systems are scalable, reliable, secure, and performant. • Architect distributed backend services and APIs using Python, FastAPI, Node.js, or equivalent frameworks., • Design modular, observable, and scalable backend components for orchestration, data services, and platform integrations., • Define patterns for microservices, domain boundaries, caching, queuing, resiliency, and error handling., • Build robust service‑to‑service communication mechanisms (REST, gRPC, event‑driven patterns)., • Implement secure authentication, authorization, rate limiting, and multi‑tenant access controls., • Write high-quality, maintainable, production-ready code., • Integrate with external APIs (marketing platforms, cloud services, internal microservices)., • Build and maintain CI/CD pipelines and infrastructure‑as‑code environments., • Lead code reviews, mentor engineers, and ensure high engineering standards., • Contribute to platform SDKs, internal libraries, and backend frameworks used across charters., • Implement tracing, structured logging, metrics, dashboards, and alerting., • Optimize services for latency, concurrency, throughput, and cost efficiency., • Ensure system reliability through automated testing, load testing, error budgets, and resiliency strategies., • Partner with SRE to define SLIs/SLOs and improve platform‑wide reliability., • Work closely with Studio, AOE, DFP, Channel, and SRE teams on shared backend designs., • Collaborate with Product Managers and UX research teams to translate requirements into backend capabilities., • Align architecture decisions across charters to ensure consistency and maintainability., • Demonstrable backend engineering experience, with architectural ownership over services or distributed systems., • Expertise in Python, FastAPI, Flask, or Node.js and modern backend development patterns., • Strong understanding of microservices, concurrency, async programming, and event‑driven architectures., • Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis, MongoDB)., • Hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS or GCP)., • Strong CI/CD experience using GitHub Actions, Jenkins, Argo, or similar tools., • Deep knowledge of observability practices — logs, metrics, traces, performance analysis., • Proven ability to write clean, testable, well-structured production code., • Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS)., • Familiarity with AI/LLM systems (AOE integration), though not required across all charters., • Knowledge of data engineering patterns or ETL/ELT workflows., • Prior experience with API gateway architectures, caching layers, or service meshes., • Exposure to cybersecurity best practices and secure service design., • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year., • REFLECTION DAYS - Two additional days of paid leave to step away from your usual day‑to‑day work and create time to focus on your well‑being and self‑care., • HELP@HAND BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching., • FAMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave., • FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday, from your first day of employment., • GREAT LOCAL DISCOUNTS This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre. Full details of our benefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). #LI-KS1 #J-18808-Ljbffr

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. Growth AI Performance System is Bain’s integrated suite of agentic decisioning tools giving large organizations always-on intelligence across their most important growth decisions. It sits at a rare intersection few organizations can genuinely offer: the analytical depth and client access of a top-tier consultancy, the technical ambition of a product company, and the commercial stakes of both. You will own the knowledge and data layer behind Bain’s persistent product team, building software that helps Fortune 100 to 500 companies answer the questions that drive their business: where to invest, where to focus, and how to win. The impact of what you build is direct and immediate, and the suite compounds in value with every release. The platform has two layers working together: the Agentic Core and three product modules, each solving a distinct commercial problem. Your job is to ensure the knowledge layer underneath every module — the entities, relationships, and taxonomies the platform reasons over — is engineered with the same production rigor as the pipelines and models built on top of it. This is a startup inside an established company. You get genuine early-stage ownership -- real influence over architecture and product direction -- backed by Bain’s global scale, client relationships, and leadership commitment. The pace of a startup with the runway of a global firm. We are looking for someone who sits genuinely at the intersection of data engineering and AI engineering — comfortable owning large-scale entity resolution and pipeline infrastructure one day, and the retrieval, embedding, and agent-facing API contracts that let that knowledge power live reasoning the next. This is applied knowledge engineering in production, at scale, with real users depending on what you build. Native AI fluency matters here, and so does the drive to keep learning -- because the field is moving fast and this team is built to move with it. The Head of Ontology is the most senior knowledge engineering role in Growth AI Performance System and one of the most strategically important. You own the knowledge and ontology standard for every Growth AI Performance System product module. You sit above module-level AI Engineers and Data Engineers on questions of entity resolution, taxonomy, and knowledge architecture — and you are the final word when a modeling or retrieval question depends on how the platform represents the commercial world. You are expected to personally build the hardest parts of this layer, not only set direction for others. The problems span entity resolution at scale, knowledge graph and taxonomy design, retrieval and embedding architecture, and the data pipelines that keep all of it fresh and correct — hard engineering problems where a wrong call quietly propagates into every downstream model and agent. You must be equally credible reviewing a Spark pipeline and a retrieval-augmented generation architecture, because both are your responsibility. You will work across the platform and product modules focused on marketing ROI, brand or pricing strategy — ensuring that the semantic layer accurately represents the commercial world those modules are built to reason about. A marketing mix model that miscategorized a media channel, a brand analytics tool that conflates two similar entities, or a pricing engine that cannot resolve a product hierarchy correctly will produce outputs that clients cannot trust. The ontology is what prevents that -- and you are accountable for it. The outputs here are not a research artifact sitting beside the product — they are the substrate the product reasons on. The standard you hold this layer to is the standard the whole platform’s trustworthiness is measured against. You will lead the Ontology and Knowledge team -- the AI Engineer and Data Engineer who report into this function -- and collaborate daily with the Tech Lead, the Data Scientists across all three product modules, the Evals Lead, and the Product Manager. You will also engage directly with senior client stakeholders: presenting the platform’s knowledge architecture, explaining how the semantic layer is structured and why, and using those conversations to make the ontology more commercially accurate with every engagement. Knowledge architecture and ontology engineering • Own the design, build, and governance of the Growth AI Performance System knowledge graph and ontology -- the semantic layer that models commercial entities, market relationships, and domain taxonomies across marketing ROI, brand strategy, and pricing, • Define the knowledge architecture standards the platform builds within: entity naming and resolution conventions, taxonomy structure and versioning, relationship modeling, and how gaps or ambiguities in the data are represented explicitly rather than silently dropped, • Design and implement entity resolution systems at production scale using tooling such as Splink, Zingg, or custom probabilistic matching models -- handling ambiguous, incomplete, and conflicting data sources without propagating those ambiguities downstream, • Build and evolve the graph and semantic store itself (e.g., Neo4j, Amazon Neptune, or RDF/OWL triple stores with SPARQL), balancing expressivity, query performance, and operational reliability at production scale, • Evolve the ontology as the platform scales: managing the backward compatibility of schema changes, coordinating with the AI Engineer and Data Engineer on how updates propagate to downstream product module interfaces AI engineering: retrieval, embeddings, and agentic integration • Design the retrieval, memory, and context-engineering layer that lets agentic workflows reason over the ontology reliably: vector/graph/hybrid stores (Pinecone, Weaviate, or equivalent), embedding model selection and refresh strategy, and context/prompt caching, • Own the API and schema contracts through which AI Engineers and agent frameworks (LangGraph, MCP, or equivalent) consume ontology outputs -- ensuring retrieval patterns remain coherent as both the knowledge layer and the agentic core evolve, • Build evaluation harnesses for knowledge-layer quality in the same spirit as model evals: entity resolution precision/recall, taxonomy consistency checks, and regression suites that catch ontology-layer failures before they reach production, • Apply NLP/ML techniques (e.g., spaCy, Hugging Face transformer models) for entity extraction, relation extraction, and ongoing taxonomy enrichment from unstructured client and market data Data and pipeline oversight • Own the data pipelines that keep the ontology current: ingestion, transformation, and quality-check pipelines (e.g., Databricks, Airflow, dbt) that feed entity resolution and graph construction, • Define data requirements standards for the knowledge layer: schema specifications, quality thresholds, and the edge cases that cause entity resolution or retrieval to produce misleading outputs, • Partner with platform Data Engineering to diagnose when upstream data issues are driving ontology-layer problems, and own root-cause resolution end to end, • Work with the Data Scientists across all three product modules to ensure the ontology supports the statistical modeling requirements of each module: providing the structured prior knowledge and relationship data Bayesian models need to produce defensible outputs Team leadership and stakeholder communication • Lead and develop the Ontology and Knowledge team -- the AI Engineer (Data Ontology) and Data Engineer (Ontology) who report into this function -- providing structured mentorship and creating the conditions for both to take on progressively more ownership, • Collaborate daily with the Tech Lead on the architectural interface between the knowledge layer and the Agentic Core, and with the Evals Lead to define evaluation criteria for ontology quality, • Engage directly with senior client stakeholders including commercial leadership -- presenting the platform’s knowledge architecture and using client feedback as a systematic input to ontology development, • Use AI-assisted engineering tools (e.g., Copilot-style coding assistants, LLM-assisted schema and entity-resolution tooling) to accelerate ontology development -- as a productivity multiplier, not a substitute for engineering rigor Must-have — Technical • Strong hands-on engineering ability spanning both data engineering and AI engineering: comfortable building production pipelines (Spark/PySpark, Airflow, dbt, or equivalent) and production retrieval/agentic systems (vector stores, embedding pipelines, agent frameworks) in the same role, • Deep expertise in knowledge representation and ontology design: graph databases (Neo4j, Neptune) or RDF/OWL semantic stores, and the judgment to trade off expressivity, scalability, and operational reliability, • Experience designing and implementing entity resolution systems at scale (Splink, Zingg, or custom probabilistic matching) that handle ambiguous and conflicting data without silently propagating errors, • Working fluency in how knowledge graph outputs are consumed by agentic systems: retrieval patterns, indexing strategies, and the API/schema conventions that let AI Engineers build against the knowledge layer reliably, • Experience building evaluation and data-quality frameworks for a knowledge or data layer: what entity resolution correctness means in practice, and how to build automated tests that catch failures before production, • Native AI fluency: active use of AI-assisted engineering tools to accelerate ontology and pipeline development, with demonstrated ongoing learning at the intersection of knowledge engineering and generative AI, • Experience with NLP/ML entity and relation extraction (spaCy, Hugging Face transformers) for automated taxonomy enrichment from unstructured data, • Direct experience with retrieval-augmented generation (RAG) architecture and embedding model selection/evaluation in a production setting, • Understanding of how ontological structure supports statistical modeling: how relationship data and structured priors feed Bayesian or other inference-based models, • Familiarity with data governance and privacy principles at the intersection of client commercial data and proprietary organizational knowledge Must-have — Experience • 8 or more years in data engineering, AI/ML engineering, or knowledge engineering roles, with significant hands-on responsibility for systems that production AI or analytics depend on, • Track record of owning a knowledge graph, ontology, or large-scale data platform that a real product depended on -- production-grade, with the reliability, versioning, and governance standards enterprise deployment requires, • Direct experience leading a data or AI engineering team: setting technical standards, mentoring engineers, and creating conditions for the team to take on progressively more ownership, • Experience engaging with senior client or stakeholder audiences in a technical advisory capacity: presenting architecture decisions and translating them into business terms, • Deep commercial domain knowledge in at least one area relevant to the Growth AI Performance System suite: marketing and media analytics, brand and consumer behavior, or pricing and revenue growth management, • Experience working in or alongside consulting, professional services, or enterprise analytics organizations where knowledge representation quality has direct consequences for client decisions Education Bachelor’s degree or higher in computer science, information science, data engineering, or a related field. Advanced degree in a knowledge representation, AI/ML, or semantic web discipline is a strong advantage. Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows: • In Massachusetts, the good-faith, reasonable annualized full-time salary range for this role is between (please, insert salary range); placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level, • In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $226,000 – $276,750; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level, • Annual discretionary performance bonus, • This role may also be eligible for other elements of discretionary compensation, • 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date Bain & Company’s comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family. • Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck, • Generous paid time off, including parental leave, sick leave and paid holidays, • Fully vested 401(k) company contribution, • Paid Life and Long-Term Disability insurance For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr

Vacancy Summary Job Title: Senior Employer's Agent Job Type: Permanent Job Ref: #1446 Location: Cambridge (Central location with on-site employee parking and modern office) Start Date: ASAP Salary: c£60,000-£70,000k plus competitive package inc market leading bonus pacage and pension etc. Company & Project: A privately owned regional consultancy with an excellent reputation working across the Residential and Healthcare sectors are looking for a strategic, client-focused Senior Employer's Agent to join their business due to newly secured projects with repeat clients. Our client has a busy project pipeline for 2026/2027 and they are recruiting for a Senior EA to join their friendly team of around 8 professionals. Duties & Responsibilities: The successful candidate will take lead responsibility as the Senior Employer's Agent working on behalf of Residential and Healthcare clients. You will lead projects through early feasibility stages, design stage, tender stage, contract administration, and overall project delivery/management, primarily on high-value JCT projects including Design and Build, while mentoring junior staff and managing key client relationships. Review and finalise project documentation, ensuring the Employer's Requirements, contractor's proposals, and contract sum analysis are tightly aligned. Run the tender process, from pulling together the initial documents to analysing bids, interviewing contractors, and making final recommendations. Ensure contract documents are ready for signing, including performance bonds, parent company guarantees, and collateral warranties. Manage statutory approvals, making sure planning conditions are discharged, building control is engaged, and Section 38/104/278 agreements are moving forward. Act as the main point of contact between the client and the contractor, managing all formal instructions, notices, and day-to-day contract administration. Visit the site regularly to check on progress, keep an eye on quality (especially structural elements, external envelopes, and internal finishes), and make sure everything matches the agreed drawings. Run the monthly progress meetings, take accurate minutes, and give the client a clear, honest monthly update on time and budget. Manage variations and change control, assessing the cost and timeline impact of any changes before giving the go-ahead. Value the work on site each month and issue payment certificates in line with the contract dates. Assess any contractor claims for extra time or money, making fair, contractually sound decisions to resolve disputes early. Lead the handover process, working with warranty providers (like NHBC or Premier) to secure final certificates and sign-offs for practical completion. Inspect completed units, managing the snagging and de-snagging process for individual plots or apartment blocks to ensure a high-quality finish. Desirable Experience: Minimum 5+ years experience working in a Employer's Agent capacity - previously from a Quantity Surveying or Project Management background. Previous Residential or Healthcare sector experience would be advantageous. Previous Roles: Senior Employer's Agent OR Associate Director OR Senior Project Manager OR MRICS Senior Surveyor OR Lead Quantity Surveyor. Qualifications & Skills: Degree or MSc in Quantity Surveying or Construction Management. Full chartership (MRICS, MCIOB, MAPM, or comparable professional qualification) would be advantageous. Application Process: If you would like more information about this vacancy, please email Jess Quinn. Please visit our website to review our Privacy Policy and Terms & Conditions before applying. Applications are reviewed regularly and we aim to review applications and contact shortlisted candidates within 48 hours where possible. Services advertised by Apple Technical Recruitment are those of an Employment Agency. TPBN1_UKTJ

Job Description Hybrid working - our approach is to be in the office a minimum of 2 days per week. We are looking for a Microsoft 365 & AI Collaboration Associate to help our people work more effectively using Microsoft 365, Copilot, agents and emerging AI technologies. Working within the internal IT department, you'll independently engage stakeholders, understand business problems and turn ideas into practical solutions. You'll build confidence in AI-enabled working and support adoption and continuous improvement across Microsoft 365 services. The role is suited to someone with growing subject matter expertise in Microsoft 365 and AI who is curious, delivery-focused and comfortable working across users, technical teams, service owners and stakeholders. You’ll work across the business as a practical enabler, helping teams identify opportunities, define needs and deliver usable, supportable solutions across Copilot, SharePoint, Teams, Power Platform, agent-building tools and related Microsoft technologies. The role combines hands-on delivery with consultation, adoption and service improvement, bridging the gap between business users, technical teams and service owners. Activities may include shaping an agent or workflow, facilitating an AI workshop, supporting a pilot, resolving an issue, creating guidance, evaluating a new capability or coordinating technical and business stakeholders. You'll follow opportunities from initial idea through design, testing, adoption and transition into support, ensuring that lessons learned inform future services and ways of working. Engage stakeholders to understand business problems, identify opportunities and recommend practical Microsoft 365, Copilot and AI-enabled solutions Run structured discovery activities to clarify requirements, desired outcome, constraints, risks and measures of success Build or support agents, workflows, automations and low-code solutions, working with service owners and technical specialists where needed Translate requirements into clear designs, user stories, prototypes, guidance or implementation plans appropriate to the scale of the opportunity Drive adoption through demonstrations, workshops, training, communications and clear user guidance tailored to different audiences to support the adoption and effective use of Microsoft 365 Copilot and other AI capabilities across the organisation Support pilots and proofs of concept, including requirements, testing, feedback, success measures and follow-up actions Apply responsible AI, governance, security, licensing, lifecycle and supportability considerations to new solutions Evaluate new Microsoft capabilities and use adoption, usage, feedback and support data to recommend improvements and prioritise next steps Contribute to reusable patterns, standards and communities of practice so that successful approaches can be shared and scaled Plan and organise work, manage risks and issues, communicate progress and share learning across Microsoft 365 and AI services. Qualifications Growing subject matter expertise in Microsoft 365, Copilot, AI-enabled working or related digital workplace technologies Ability to work independently, organise complex tasks and deliver to agreed standards and deadlines Strong communication and interpersonal skills, with the confidence to engage stakeholders, facilitate discussions, adapt to different audiences and explain technical concepts simply Practical problem-solving skills and the ability to turn ambiguous needs into usable solutions, guidance or next steps Experience contributing to pilots, change initiatives or service improvements and working through feedback to reach a practical outcome Awareness of information protection, security, governance and support considerations in a managed technology environment Curiosity about AI and emerging technology, with sound judgement about responsible and ethical use A collaborative, evidence-led approach to continuous improvement, relationship building and sharing knowledge Enthusiastic about helping people use technology confidently and effectively Proactive in building relationships, seeking feedback and following work through to a clear outcome. Hands-on experience with Teams, SharePoint, Power Platform, Copilot Studio, SharePoint agents, Agent Builder or similar Microsoft 365 tools Experience building simple agents, automations, workflows or low-code solutions Experience delivering demonstrations, training or adoption activities and creating supporting materials Relevant Microsoft certifications or equivalent practical experience. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional Information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life. Find out more about Life at PA here. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity-based initiatives, • Annual performance-based bonus, • Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. #J-18808-Ljbffr

As a Country Manager UK/IE for Berlin Acoustics, you are the central interface between the brand and our retail partners in the UK and Ireland. • Own and execute the UK & Ireland partner strategy, driving sustainable revenue growth, • Build, manage, and expand a strong network of retail partners and dealers, • Identify and develop new sales channels and partnership opportunities, • Support partners on pricing, offers, and deal structures, and actively follow up on projects, • Maintain regular communication through check-ins, visits, and pipeline management, • Plan and execute product trainings, in-store activities, and local marketing initiatives, • Organise and represent Berlin Acoustics at key UK trade fairs and events, • Ensure effective use of the London showroom for partner meetings and customer visits, • Gather market insights and feedback to improve products, positioning, and processes, • Keep CRM systems (Odoo) up to date and support partners on after-sales topics, • Collaborate closely with our UK sales agent on partner acquisition and local execution, • The role is open to candidates based anywhere in the UK, • The role requires frequent travel within the UK (around 20%), with all travel expenses covered, • You will visit our Berlin HQ at least once per quarter (expenses covered), • 5+ years of experience in B2B sales within the UK or Ireland, • Proven experience in partnership, channel, or key account management, • Ideally experience in office furniture, interiors, or a manufacturer-driven environment, • Strong communication and relationship-building skills, • Structured, reliable, and hands-on way of working, • High ownership, drive, and solution-oriented mindset, • Experience working with CRM tools such as Odoo or similar, • Interest in processes and continuous improvement, • Experience organising events, trade fairs, or similar customer-facing activities, • Fluent or native-level English, • A key role with direct impact on our growth in the UK & Ireland, • A fully remote role based in the UK, with strong market proximity, • Regular travel across the UK with all travel and accommodation expenses fully covered, • High level of autonomy and ownership of your market and partner network, • Flat hierarchies and fast decision-making, • A pragmatic, no-politics work environment focused on results, • Close collaboration with a motivated and ambitious international team, • Opportunities for personal and professional development as we scale #J-18808-Ljbffr

We’re not your average benefits platform – we’re the driving force that uplifts people’s lives. Our technology connects the entire benefits ecosystem, creating better outcomes for employers, employees, brokers, and providers. Our mission is clear: to build a world where everything works at its best, ensuring every employee gets the support they need to thrive—both at work and beyond. As our Software Engineer (Data), you’ll build and run the pipelines, orchestration, and infrastructure that move data across Ben: in from our product and the tools we use, in from our customers, and back out to them again. It’s the plumbing the whole company and our customers depend on, and it has to stay reliable. We serve global enterprise customers with strict security and reliability requirements. You’ll own real work from day one. You’ll have a strong team of cross functional engineers alongside you, room to grow into harder problems, and the freedom to do the job your way. Own everything that flows into Ben: build and maintain the ingestion pipelines that bring data into our warehouse, with Fivetran for managed sources and custom pipelines where we need them. Keep everything running on time: own the orchestration that keeps data moving on schedule and recovers cleanly when something breaks. Scale and manage our data infrastructure: build and manage our data infrastructure as code with Terraform, using mainly AWS services. Connect Ben to every system our customers run: build enterprise-grade pipelines and connectors for our customers, bringing their data in, for example from HR and payroll systems, and getting accurate data back out to them, reliably and securely, even at the volumes large customers bring. Build the data layer our agents act on: help connect our data to the AI agents and services we're building, including through MCP connectors, so they get the right context at the right time. Shape what we build: work with product and other stakeholders to scope problems and agree on simple but scalable solutions. Build it to enterprise standard: build to current security practice, for example the OWASP Top 10 and the AWS Well-Architected Framework. Ben runs on Python 3, Django, PostgreSQL, and React, on AWS. Our data platform today is built around Fivetran, AWS DMS or custom pipelines for ingestion, dbt for transformation, PostgreSQL on AWS RDS as the warehouse, and n8n or AWS Lambda for automation between systems. We manage our infrastructure as code with Terraform and use different AWS services depending on requirements. We have adopted frontier level agentic development practices and continue to push the envelope of what’s possible with current technologies. Strong experience with Python and SQL. A few years building and running production data pipelines that other people relied on. Comfortable with infrastructure as code, ideally Terraform, and hands‑on with AWS, for example Lambda, ECS, Glue, S3, RDS. A good grasp of ETL/ELT and orchestration. Experience building or running data integrations and connectors, especially ones that other companies or customers depend on, is a real plus. Solid software engineering fundamentals: clean code, sensible design, and tests you can rely on. You keep security in mind when you build applications and configure infrastructure, and you know what enterprise customers expect of their data. Experience working on customer-facing data integrations such as HRIS or payroll feeds via SFTP and in EDI format Experience with MCP server development, or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. We don't expect all of it. We do expect curiosity about it. Ben's customers are large enterprise employers, and the hundreds of thousands of people who work for them rely on us to get their benefits right, every time. That depends on data moving accurately between their systems and ours, every cycle. You get to work on the data infrastructure that makes this run like clockwork. At the same time, Ben is an AI-native organisation. Agents are already doing a lot of impactful work here, and they can only do it on data they can trust. That raises questions a dashboard never had to answer. How fresh does this need to be for an agent to act on it? How do you match the same entity across tools? How do you control what an agent is allowed to see? Very few engineers have answered those in production. You'd be one of them. You'll take ownership of large, complex problem spaces, help design how they scale, and build an agentic layer few engineers have built anywhere yet, and you'll see the impact of it: Ben supports hundreds of thousands of people across 30+ countries. It's important to us to practise what we preach when it comes to benefits. We know what good looks like and we want to provide the best for our team, with a comprehensive and inclusive benefits package. You'll have a choice over the things that are most important to you. You can see a selection below, with the full offering here. Competitive base salary + equity, so you own what you build Bonus scheme designed to reward and recognise high performance £100 monthly personal Ben Balance: for whatever works for you, whether that's Netflix, Spotify, or a really expensive cup of coffee! This allowance will increase by £50 for each year of service until you reach £250 Weekly lunch provided in office so you can spend quality time with the team over some tasty food! 28 days of holidays a year plus bank holidays, and an option to buy or sell 5 days per year. Your holiday entitlement increases to 30 days at your 3rd year of service! Work-from-abroad scheme, so you can support your travels, enjoy an extended holiday, or visit loved ones. Enhanced parental leave and workplace nursery scheme to support with the cost of childcare in a nursery setting Comprehensive Private Medical Insurance Funded Life Assurance cover with the option to voluntarily increase. This also includes an annual health check Comprehensive mental health support and professional coaching through a leading provider We are organically growing a brilliantly diverse, inclusive and respectful bunch of people we are extremely proud of. This should go without saying, but all applications are very much welcome. If you need any adjustments to support you with your application, just let us know by emailing . #J-18808-Ljbffr

Company Description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Hybrid working - our approach is to be in the office a minimum of 2 days per week. PA's IT team, internally known as Group Systems, is comprised of a variety of areas that support the wider firm, consisting of four key pillars: Strategy, Architecture and Infrastructure Services; Enterprise Solutions; Technology and Operations; and Cyber Security and Compliance. The successful candidate will be covered two primary areas: the security of AI (protecting the organisation's own AI systems and use of AI) and AI for security (using AI to strengthen protection, detection and response). This role will sit within Cyber Security and Compliance. Define requirements, run structured evaluations and proofs of concept, and judge vendor claims on evidence rather than marketing. That means measuring detection efficacy, false positive rates, latency and operational overhead. The tool categories to cover include AI security posture management, LLM guardrails and firewalls, model and supply-chain scanning, GenAI data loss prevention, and AI-enabled SOC tooling. They should also own the deployment itself: integration with existing SIEM, SOAR, EDR and identity tooling, architecture decisions, and making sure the tools are tuned and producing value after go-live rather than becoming shelfware. Input to vendor risk assessments fits here too, particularly on how vendors handle your data in their own models. They need a working knowledge of AI-specific attack techniques and should be fluent in the reference frameworks, mainly the OWASP Top 10 for LLM Applications and MITRE ATLAS. Key threats include: • Direct and indirect prompt injection, • Data and model poisoning, • Sensitive data leakage through prompts and outputs, • Model theft and extraction, • Malicious model files in the supply chain, • The growing set of risks from agentic AI, such as excessive permissions and tool misuse They also need to understand how attackers use AI against the organisation (more convincing phishing, deepfake-enabled fraud, faster reconnaissance and exploit development) and how that changes your threat model. Shadow AI, meaning unsanctioned use of AI tools by staff, is a practical, near-term issue they should be able to discover and manage. This is where the role earns its keep with stakeholders. In protection, that might mean AI-assisted vulnerability prioritisation, secure code review, or posture analysis. In detection, it covers behavioural anomaly detection, alert triage and enrichment, and LLM-assisted threat hunting. In response, it includes AI copilots for investigation and incident summarisation, automated playbooks, and agentic response actions. A good candidate will be clear-eyed about limits: where human-in-the-loop controls are needed, how to validate AI outputs, and how to avoid automating mistakes at speed. The ability to build or run demonstrators that show value concretely is a strong differentiator. The role should include adversarial testing and red teaming of the organisation's AI systems, whether done directly or by scoping and overseeing third parties. Examples are testing RAG applications for injection and data exposure, or checking that an agent can't be manipulated into acting outside its intended permissions. This isn't primarily a governance role, but the engineer should translate frameworks into technical controls and evidence. The relevant reference points are: • NCSC's Guidelines for Secure AI System Development, • The UK government's AI Cyber Security Code of Practice, • The EU AI Act, where relevant to clients or operations The ideal profile is a security engineer (typically from cloud security, security architecture, or SOC engineering) who has built genuine ML and LLM literacy. That means understanding how models, RAG pipelines and agents work, reasonable Python or scripting ability, and cloud platform experience. Communication matters more than usual: this person will regularly need to explain AI risk and capability to non-specialist decision-makers without overselling or scaremongering. Useful indicators: • Tools selected and deployed against defined requirements, with measurable outcomes (reduced triage time, improved detection coverage), • An AI asset inventory and threat model in place, • Demonstrators that have influenced investment or adoption decisions Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life. Find out more about Life at PA here. We are dedicated to supporting the physical, emotional, social and financial well‑being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity-based initiatives, • Annual performance-based bonus, • Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. #J-18808-Ljbffr

In a Nutshell… We have an exciting opportunity for a Senior Quantity Surveyor to join our team within Vistry Cornwall South West, at our Wadebridge site in Plymouth. As our Senior Quantity Surveyor, you will work within our wider Commercial, Estimating and Buying team, you will be responsible for supervising, managing and advising on the financial and contractual aspects of multiple construction projects. You will take responsibility for the execution of the Quantity Surveying function on allocated contract/s, in order to fulfil the requirements of the Company in maximising quality of service and profitability. You will provide a range of cost control and financial reporting duties across all aspects of construction work undertaken by the company. We value in-person collaboration and team culture, but we're also committed to supporting flexible working where possible. We encourage you to raise any specific requirements during the interview process so we can explore how this could be accommodated. Let's cut to the chase, what's in it for you… Competitive basic salary and annual bonus Company car, car allowance or travel allowance Salary sacrifice car scheme available to all employees Up to 39 days annual leave plus bank holidays 2 Volunteering days per annum Private medical insurance, with employee paid cover Enhanced maternity, paternity and adoption leave Competitive pension scheme through salary sacrifice Life assurance at 4 x your annual salary Share save and share incentive schemes Christmas company shutdown Employee rewards portal with many more benefits… In return, what we would like from you… Behave in line with our company values - Integrity, Caring and Quality HNC / HND in Surveying or equivalent Proven experience as a PQS / SQS / Commercial lead working within a residential house builder (dependent on position level) Experience maybe gained from a similar position or promotion A good understanding or building regulations and legal obligations A good knowledge or construction methods and materials Strong mathematical and IT ability Ability to assess and analyse information Good business sense Good understanding of budget management Negotiating and networking skills Excellent communications skills Able to work under pressure, and accept criticism of work Good team working skills Accurate with an eye for detail A methodical approach Willing to work extra to meet deadlines as and when the business needs require it Desirable… Degree in Surveying or similar Working towards being a Member of the Chartered Institute of Building (CIOB), or Royal Institute of Chartered Surveyors (RICS) More about the Senior Quantity Surveyor role… Lead, support and coach your direct reports and the wider team to support their growth and development Be active in the recruitment of new starters to the team and then throughout the employee life cycle, including holding development reviews and succession planning exercises Attend development meetings when appropriate, contract pre-start and subcontract package review meetings Upon receipt of Contract Documentation, you will be responsible for checking all contract drawings to identify errors, omissions, anomalies and areas where unnecessary cost may arise Receive initial tender information and assist in the preparation of the proposed tender lists and updating of subsequent procurement programmes Assess site staffing levels and build programmes with the Construction Director to ascertain preliminary costs, including collating all cost information and preparing the start on site budget Arrange and adjudicate budget settlement meetings, with the support of the wider Commercial team Prepare stage payment schedules to assist in the financing of the works Carry out pre-order meetings including all necessary Health & Safety requirements, finalising a tender sum and agreeing a stage payment schedule for payment purposes before preparing all contract documentation and placing the order Place subcontractor orders, including interviews and checking references on selected subcontractors. You will then negotiate the contract sum within the budget, including finalising costs to cover all late variations Issue variation orders and development changes alongside providing cost advice on major variations prior to issue. You will issue revised contract drawings to subcontractors; negotiating the cost of variations including liaising between Buyers and Build Managers. You will provide a full range of pricing information for purchaser's extras Check all costs posted to each contract, collate and reconcile all costs resulting from subcontract works, variation orders, site instructions, material order and preliminary / running costs. This will include providing monthly analysis of costs and identify possible areas of over expenditure at future dates Check and arrange subcontractor payments, obtaining necessary authorisation for passing payments for all elements of subcontractor works. You will agree final accounts with subcontractors, ensuring all works have been carried out within budget and analysing costs to assist on future estimates Take responsibility for the preparation of documents for the basis of external valuation with the client's agent (CSA, Stage payment schedule, Tick offs) Keep the RAMS schedule updated and issued to all relevant parties Place and issue sub-contract orders in accordance with Group Policy and Commercial Best Practice to budget and within programme requirements. Attend and minute all sub-contract order adjudication meetings. Compile reports on contract letting vs. estimate for each site periodically, as required. Liaise with build department on sub-contractors' performance and compliance with order conditions. To liaise with company management and provide all necessary forecast and site budget information to meet the business's reporting requirements. Control and report post contract cost movements per development every month. Update CV1 and CV2 site specific reports and provide details of all 'unscheduled' and 'scheduled' order revisions i.e. Site Instructions and site purchase orders. To provide such monthly reporting as required by the Commercial Manager. Review professional fee provisions and statutory service cost, and credits, with the technical department. Ensure invoices/applications for payments are processed in accordance with Vistry Group Standard Terms and Conditions of Contract. Maintain a half yearly site reserve list. Issue Payment Withhold Notices, where a contractor application, or part thereof, is in dispute in accordance with Construction Act. Immediately advise management of notification of impending claim or legal action arising from a disputed claim or payment from a Sub-Contractor/service provider. Where necessary, determine a sub-contract order in accordance with Standard Terms and Conditions of Employment and liaise with Build Department in this respect. Diligently use the Vistry Group construction system to manage site project administration, including orders, variations, valuations, etc. Assist in the regular review of materials on-site and material valuations. Agree and process all sales variation requests, including works to show homes, stock plots and sales incentive works in accordance with group procedures. Properly categorise on the construction system 'unscheduled' and 'scheduled' order amendments. Settle all variation invoices/applications for payment in accordance with Vistry Group Standard Terms and Conditions of Contract. Process groundwork's payments/applications for payment using the Vistry Group AGA payment system as outlined in Commercial Best Practice Manual. Ensure the collection of retention against all sub-contract orders in accordance with Group Policy. Manage and certify retention releases on completion of the development. Complete and agree sub-contract final accounts within 6 months of the last legal completion on-site and prior to the first release of retention to the individual sub-contractors. Finally, let's tell you a bit more about us… We build more than homes, we're making Vistry. Being a responsible developer and award-winning employer means we live each day through our ethos - doing the right thing. Our behaviours reflect this, as well as our values of integrity, caring and quality. Shaping all we do; they empower us to develop sustainable communities across affordable and private housing. We work in a partnership-led way, and you'll recognise our renowned brands Bovis Homes, Linden Homes and Countryside Homes. Together with Vistry Works, our manufacturing operation, and the functional support of Vistry Services, we're a proud UK Green Building Council member, UK top five housebuilder with a five-star House Builders Federation (HBF) customer satisfaction rating, and winner of many awards including Top Employer, Global Top Inspiring Workplaces, and Best for Talent Attraction and Outreach. Join us in making Vistry. #LI-TP1 TPBN1_UKTJ

London Good Systems is the parent company behind Goodnotes, where millions of people capture and develop their ideas. Goodnotes is where we started, and it's now the foundation for a growing family of products. By reimagining how we interact with information, we're bringing together human creativity and the breakthrough capabilities of AI. We build products that help people turn good thinking into good work. Dream big Be visionary, strategic, and open to innovation Build great things Work in service of our users, always improving and pushing higher Operate like an owner Take responsibility with bold decision-making and bias for action Win like a sports team Be trusting and collaborative while empowering others Learn and grow fast Never stop learning and iterate fast Share our passion Share ideas and practice enthusiasm and joy Be user obsessed You will join Paddington, our AI-native product line inside Goodnotes, and work directly with Steven, our founder, and a small team shipping new products. Engineers own the full cycle: they design, build, test, ship, and operate what they ship. Coding agents write the product code, and the engineer who merges it owns what lands. You will ship product changes with a squad and build the harness around those agents: guides and automated checks that catch defects and performance regressions before the code merges. When a defect reaches users, or a user-facing path gets slower, you change the product code or the check and show the measurement. You'll be an individual contributor reporting to the Engineering Manager. We hire at Senior level and welcome Staff-level candidates. • This role will be required to work on-site, 5 days per week in our London Paddington office, • This is a permanent role, • This role does not include visa sponsorship, • You start in a product squad on day one and ship code users can run. You keep 20 to 30 percents of your time in a squad after that, and the checks you write come from that release path., • You design the guides and checks that steer the coding agent before it edits and correct the edit after. Fast, deterministic checks run in the agent session and at pre-commit. Slower checks run in CI. Every message tells the agent how to fix the finding. You track which checks fire and remove the ones that never do., • You improve the software users run. You take a defect class or a performance regression that reached them, change the product code or add a check aimed at that class, and publish escaped defects per release with the performance numbers for that product., • We build for iOS, Android, Mac, Windows, web, and backend. You have shipped on at least one of them. You package the guides and checks per platform so a new repo starts with them in place., • You write each check so another engineer can add the next one. Squads choose what to adopt, so the check has to earn its place., • 5 or more years as a software engineer shipping features, services, or app changes to users, in at least one of Swift, TypeScript, Rust, Go, or Java. You still write and merge code in that language., • Static analysis you built for a team: custom lint rules, dependency rules, and messages that describe the fix. Pre-commit and CI you designed, with fast checks early and slow checks after integration., • Daily use of a coding agent such as Claude Code, Cursor, or Codex to write product code, and a guide, lint rule, or eval you committed that runs on the agent's next edit., • A performance change in product code you can walk through. Startup, latency, memory, battery, or throughput, with the before and after measurement from the product or its benchmark., • A tool you built that other engineers adopted and extended on their own., • Judgment about when a check is enough. A long rule list slows the engineers and the agents., • You work with engineers, designers, and product. You set your own agenda, act before you are asked, and handle ambiguity and conflict. Preferred: • LLM-as-judge checks or eval suites for the product's output, or for an agent-written diff., • Architecture fitness functions you wired into CI for performance, security, or observability., • Shipped work on iOS or Android and on a server or web codebase., • A full-cycle team where you operated what you built after it shipped. Talent Intro Call: A conversation with our Talent Acquisition team to dive into your experience, what motivates you, and why you're interested in joining Goodnotes. • Technical Pre-screen: A short Software Engineering-focused online rapid-fire questions round. Role-Specific Assessment: A live session in our London Paddington office, focused on the core technical skills for this role. You use your own coding agent on a hands-on exercise, then talk through how you would design the harness. This is your chance to show us how you tackle real-world challenges. Hiring Manager Interview: A deeper dive into your professional background, your preferred ways of working, and the specific impact you'll have within the team. Values-Based Panel Interview: A conversation with 2-3 team members centred on our company values. We'll discuss past experiences to see how your approach aligns with our culture. AI Literacy: As an AI-first company, we'll meet with one of our AI champions to discuss your curiosity, understanding, and practical use of AI tools in your daily workflow. Customized Growth & Wellness Budgets: We provide dedicated stipends for the things that keep you at your best, including noise-cancelling headphones for deep focus, professional training, personal development, and health and wellness activities. Global Connectivity: While we embrace flexible work, we love seeing each other. We provide sponsored visits to our beautiful office locations to foster face-to-face collaboration. Company-Wide Offsites: Once a year, we gather the entire global team in person to celebrate our wins, align on our vision, and build lasting connections. Comprehensive Health Coverage: Your well-being is our priority. We offer premium medical insurance for you and a dependent to ensure peace of mind for you and your family. 24 remote working days per year: Giving you the freedom to work from a location that suits your life. Whether that's closer to family, while travelling, or simply a change of scenery to refresh your focus. Goodnotes is committed to fostering a diverse, inclusive, and equitable workplace. We welcome applications from individuals of all backgrounds, identities, and experiences, making all employment decisions based strictly on merit, qualifications, and business needs. Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records. #J-18808-Ljbffr

Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. You’ll be the founding customer-facing engineer for our flagship Kimchi product within our Customer Success organization. Kimchi executes multi-model LLM workflows and autonomous agents with embedded governance and cost control. It intelligently routes across frontier and open-source models while enabling teams to establish strict budget caps, enforce model access policies, configure roles, and audit TCO via deep analytical tracking. Through Kimchi Studio, developers gain desktop access to agentic workflows, helping organizations accelerate adoption without sacrificing operational governance or spend visibility. This is a hands-on, individual contributor role where you will live at the intersection of inference optimization, autonomous coding agents, multi-model routing and LLM governance. You will have the unique opportunity to architect and execute the growth strategy that scales Kimchi adoption and creates new revenue expansion opportunities for our existing customers. • Deep hands-on experience with LLMs: you've deployed them, fine-tuned them, evaluated them, or debugged their failure modes. You care about why model A outperforms model B for a specific task., • You know what it's like to operate in a fast-moving environment that’s prone to change., • You've built or optimized inference systems out of curiosity. You know the difference between latency, throughput, and total cost of ownership. You ballpark costs and performance implications in your head., • You can explain complex inference concepts to non-ML engineers and help them see why it matters to their business., • You can think commercially. You understand revenue expansion, can identify expansion opportunities within customer organizations, and can design strategies to capture them. You're not just a technical person, you're someone who combines technical excellence with entrepreneurial thinking about growth., • Lead hands-on demos of our flagship inference products - Kimchi Coding, Studio and Teleport., • Set up Kimchi Studio workspaces within customer environments. Help teams configure worktrees, integrations (Slack, repos, docs), and skills so agents understand their conventions., • Design and drive implementation of governance policies for customers: spending limits per team/developer, cost attribution by project, model routing preferences. Make sure the hard budget caps actually work for their org., • Help teams integrate Kimchi's serverless inference API. Optimize model selection and routing for their specific workloads (coding, reasoning, planning tasks)., • Translate customer feedback into product input. Highlight where the agent fails, where Studio UX gets in the way, where governance policy doesn't match their needs., • Enjoy a flexible, remote-first global environment., • Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology., • Equity options., • Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks., • Spend 10% of your work time on personal projects or self-improvement., • Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills., • Team-building budget and company events to connect with your colleagues., • Equipment budget to ensure you have everything you need., • Extra days off to help maintain a healthy work-life balance., • Screening call with Recruiter, • Hiring Manager interview, • 1-2 additional interviews based on the role, • Culture Check interview with an executive, • As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr., • Please note that Cast AI does not provide any form of visa sponsorship/work permit. #J-18808-Ljbffr

Job Title - Software Engineer III (Innovation Engineering) Description - Turn ambitious ideas about the future of learning into working evidence, fast. Join Pearson Labs to prototype with AI and emerging technology, test what matters with real users and help shape where Pearson invests next. Also known in the market as: Innovation Engineer; Prototyping Engineer; Applied AI Engineer; R&D Software Engineer. Pearson Labs is the applied R&D function within the Office of the CTO. Our job is to explore, experiment with, and prototype emerging technologies that could transform how the world learns, is assessed, and works. Under Pearson's newly approved Innovation Architecture, Labs is part of a shared innovation capacity that business units across the company draw on to get new concepts moving fast, with rapid prototyping, early-stage technical support, and evidence that helps leaders make confident continue, pivot, or stop decisions. This is real work with real reach. In the last year the team has run an eight-week beta with university physics educators, filed patents from prototype work, placed in company hackathons, and built everything from AI tutors and interactive learning objects to haptic hardware for skills training, smart-glasses learning experiences, room-scale immersive environments, multi-agent assessment systems, knowledge graphs, and voice agents, demoing that work to executives and customers around the world. The lab itself operates as a working customer surface: sales teams, product teams, and customers come through the space, and what we build gets used in front of them. We are customer-centric, technology-first, systems-focused, and relentlessly curious about what's next. Most software roles are defined by a specialism. This one is defined by a contribution: taking an idea about the future of learning and turning it into working evidence, fast. Jobs across product and engineering are reshaping in the age of AI, and we think the interesting roles now organise around what you move forward rather than which discipline you sit in. In Labs, that contribution is the prototyper's: discovering what's possible, building the version that proves it, and handing it over well. As an Innovation Engineer you will work across the Labs portfolio, building prototypes and running experiments with emerging technologies. Some weeks that means a scrappy proof of concept to answer a single question; other weeks it means carrying a validated prototype toward pilot quality with real users. You will help us answer big questions, such as: What will the future of learning look like? How can we create meaningful experiences for learners and educators through new technology? Which technologies will make the biggest impact in learning, assessment, and work over the next decade? You will get unusual visibility for an engineering role: your prototypes will be seen and used by senior leaders, business units, and customers, and your evidence will directly shape where Pearson invests next. Design, build, and ship prototypes that test hypotheses about learning, assessment, and work, from quick demos to multi-technology systems piloted with real users. Run experiments properly: framed around a validated story, user-first, with measurable objectives and honest findings, whether the answer is yes or no. Work hands-on with emerging technologies, currently including AI agents, multimodal models, immersive and spatial computing, and knowledge graphs, and help the team understand what they mean for learning. Get to a minimal viable system quickly, keep it simple, and add complexity only when the evidence earns it. Tell the story of the work: demos, showcases, short technical notes, and contributions to our public portfolio site. Treat innovation as a team sport. You will build alongside our Learning Science teams, who ground prototypes in how people actually learn, with the other innovation teams around the business, including AI research, Ventures, and the innovation teams inside each business unit, with product teams who take our work forward, and with the business units who bring us their hardest problems. Document and hand over cleanly, so validated work can move into product engineering without losing what made it work. We are an AI-native team. We build with coding agents and agentic workflows daily, and we treat AI as leverage that lets a small team cover ground that used to need a much larger one. Our stack is pragmatic and moves fast: Claude Code and Cursor, Railway, internal hosting platforms developed by our colleagues and dedicated to rapid prototyping use cases, and cloud deployment patterns designed for speed. None of it is precious; the right tool is the one that gets to evidence fastest. Our method draws on innovation engineering practice: start with a story worth validating, put the user before the system architecture, work from the resources in front of you, break systems into simple parts, reduce the downside rather than optimise the upside, and measure progress with objectives you can actually check. Every programme runs on a hypothesis and closes with an explicit scale, pivot, or stop decision, and we record the stops as proudly as the wins, because a weak proposition stopped in time frees capacity for a strong one. Labs owns the earliest stages of Pearson's innovation funnel, from sensemaking through proof of concept, with a defined graduation into product development, so prototypes here are judged on the decisions they enable. We're looking for entrepreneurial technologists who are excited to tackle ambiguous problems with ingenuity and energy. You should have: Technical excellence: strong programming and prototyping skills, with working fluency in modern software design, APIs, and cloud deployment. You can take an idea to a working system on your own. AI fluency: genuine hands‑on experience building with AI, whether that's LLM‑powered applications, agents, or AI‑assisted development workflows, and an appetite to keep pace as the field moves. Creative problem‑solving: you generate original approaches to loosely defined problems and know when to test several cheaply rather than commit to one. Customer focus: a desire to understand the problems learners and educators actually face, and to let their feedback beat your assumptions. Systems thinking: a knack for seeing how technologies, products, and ecosystems interconnect. Rigour: disciplined tracking, documentation, and communication of the innovation process. Fast does not mean sloppy. Curiosity and passion for learning: you tinker, you read, you build things nobody asked for, and education is a domain you actually care about. We are open to a range of experience levels, and we will shape the level of the role around the person. As a guide: Earlier in your career, you'll own well‑scoped experiments end to end: building functional prototypes, running usability tests, and presenting findings to the team and stakeholders. With more experience, you'll lead multi‑technology prototypes at higher maturity, drive experiments from hypothesis through validated outcome, mentor other engineers, and influence which ideas the lab pursues. At the most senior level, you'll act as a technical advisor across the portfolio: setting engineering standards for applied research, carrying prototypes toward production readiness with product teams, and generating invention disclosures and patents from the work. If you're unsure whether you're "senior enough", apply anyway. We care more about what you've built and how you think than about years served. Experience communicating complex technical ideas to broad audiences, through demos, presentations, writing, or social media. Familiarity with design thinking, rapid prototyping, or lean startup methodologies. Interest in learning science, neuroscience, or human‑computer interaction. A network of technologists, designers, and builders, especially in EdTech. Patents, publications, hackathon wins, or a portfolio of side projects. You're a hands-on maker who loves to prototype and tinker with new tools. You thrive in ambiguity and adapt quickly as priorities shift with the evidence. You're as comfortable deep in code as you are demoing your work to customers and senior leaders. #LI-DM2 #LI-Hybrid At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing . Job: Engineering Job Family: TECHNOLOGY Organization: OCTO Schedule: FULL_TIME Workplace Type: Hybrid Req ID: 26132 #J-18808-Ljbffr

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more atwww.coreweave.com. We're proud to be a Living Wage accredited Employer. The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies. We're seeking a Senior AI Engineer to build the agentic layer of our Physical AI platform. You'll design, build and ship the agents behind our engineering copilot: systems that take a real engineering problem from an automotive, industrial or robotics team, explore the data, build and evaluate models, and return results an engineer can trust and act on. This is a hands‑on engineering role, not a research role. You'll work alongside our researchers and software engineers: Research explores new approaches, and you turn the ones that work into reliable production systems. You'll own agents end to end – from tool and context design, through evaluation, to deployment and operation in production. In this role, you will: • Design and build agents that run the auto‑research loop on customer engineering problems: data exploration, feature and model iteration, evaluation and reporting., • Define tool interfaces and MCP servers that expose platform capabilities (data connectors, Physical AI libraries, experiment tracking and model registry, compute) to agents in a safe and predictable way., • Own context and memory design for long‑running agent tasks, including retrieval over engineering data, documentation and past experiments., • Select and integrate models, balancing quality, latency and cost., • Build evaluation harnesses and benchmarks that measure agent performance on real engineering use cases, so quality is measurable and regressions are visible., • Instrument agents with tracing and observability and use that data to improve them., • Design guardrails, sandboxed code execution, permission models and human‑in‑the‑loop checkpoints so agents act safely on customer data and compute., • Take agents from prototype to production: testing, CI/CD, deployment, monitoring and on‑call ownership., • Contribute to ML work alongside the ML Engineers – model training, evaluation and Physical AI library development – especially where agents use or generate these components., • Translate the vocabulary and workflows of physical engineering domains into agent behaviour, working with Forward Deployed Engineers and customers., • Cover ML engineering work when needed, and help ML Engineers adopt agentic tooling in their own workflows., • Work with Research to turn promising agentic approaches into production systems., • Partner with platform engineers on the agent runtime, workflow orchestration and auth as the platform moves to a distributed, agentic‑ready architecture., • Work with Frontend and Product to expose agent capabilities in the product in a way non‑ML engineers trust., • Mentor engineers, and interview and onboard new team members., • 5+ years of professional software engineering experience, including 2+ years building production systems on top of LLMs. Your background is in shipping and operating software, not academic research., • You have shipped at least one agentic system to production with real users: tool‑using agents, multi‑step workflows or code‑generating agents., • Strong production Python., • Hands‑on experience with LLM APIs and agent frameworks, and a clear view of where frameworks help and where they get in the way., • Experience designing tools and APIs for agents, including MCP or equivalent tool‑calling protocols., • Experience building evaluation for LLM or agent systems: datasets, graders, LLM‑as‑judge, regression tracking., • Solid ML fundamentals. You can train and evaluate a model with scikit‑learn or PyTorch, and you understand validation, overfitting and uncertainty well enough to judge an agent's output., • Experience with retrieval and context engineering for agents., • Strong software engineering practices: code review, automated testing, CI/CD, observability, Docker and Kubernetes, and at least one major cloud (AWS preferred)., • Security‑minded: sandboxing, authentication/authorisation, prompt injection and data isolation in multi‑tenant systems., • Clear technical communication with both engineers and non‑ML stakeholders., • Experience with auto‑research, data science agents or agents that write and run experiments (e.g. in notebooks)., • Experience with tabular, time‑series, sensor, test or simulation data (automotive, aerospace, industrial or robotics)., • Previous experience as a backend or platform engineer before moving into AI engineering., • Familiarity with experiment tracking tools and notebook environments., • Experience serving open‑source models on GPU infrastructure., • Experience with workflow orchestration for long‑running agent tasks., • Experience with fine‑tuning or reinforcement learning to improve agent behaviour. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • Builder: You ship agents people use, not demos., • Evaluation‑first: You don't trust an agent you can't measure., • Production Pragmatism: You pick the simplest design that works, ship it, and know when an agent is the wrong answer., • Operational Rigor: You care about testing, deployments, and what happens after code ships – reliability, monitoring, and on‑call health., • Curious about the domain: You want to understand how physical engineers work, not only how models work., • Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion., • Customer Obsession: You understand that our success is measured by our customers' success. At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best‑in‑Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Family‑level Medical Insurance, • Family‑level Dental Insurance, • Generous Pension Contribution, • Life Assurance at 4x Salary, • Critical Illness Cover, • Employee Assistance Programme, • Tuition Reimbursement, • Work culture focused on innovative disruption Benefits may vary by location. CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. #J-18808-Ljbffr

This role is a 40 Hour Contract Are you looking to start a career in the Car Rental Industry? Whether you have current or prior experience, this could be the perfect opportunity for you! We offer in-the-job training. In the role of a Rental Agent, your responsibilities involve assisting customers with their rental needs in both in-person and telephone interactions. This position offers potential commission opportunities for successfully upselling our long-term rentals. At Switch Car Rental, we are dedicated to providing outstanding customer service and we strive for success by constantly delivering exceptional service to all of our clients. What can we offer you? 22 day holidays plus bank holidays pro-rata Contribution to Group Personal Pension Scheme Access to our Switch Savings platform, an employee discount scheme offering huge savings across multiple retailers Sponsored Summer and Christmas events Cycle to Work Scheme Discounted car hire rates Potential to earn bonus payments in addition your basic salary About you Hardworking individual with the ability to work in a team and independently in a fast-paced environment Ability to show great attention to detail Ideally, you will have worked in the service industry Excellent customer service and communication skills Hold a full-valid driving licence for a minimum of 12 months, with no more than 9 points on your DVLA check. How will your days look? Your role will involve dealing with customers face to face and on the telephone, completing tasks such as opening and closing rental agreements, locating fleet from other branches, and building rapport with all our customers. You will aspire to go above and beyond to deliver excellent customer service to ensure customer satisfaction. You will get involved with preparing the vehicles for rental and the delivery and collection of vehicles to customers other branches. You will also take part in conducting daily fleet and vehicle checks. About us We have become one of the leading rental companies in the UK thanks to our comprehensive fleet and excellence in customer service. Such growth has brought increased career opportunities and security for each of our employees. As a family business, our people remain at the heart of everything we do. We offer short- and long-term rentals with a wide range of fleets: economy vehicles to family saloons, estate cars to 4x4s, and an extensive luxury collection, including our elite range and a wide-ranging commercial fleet. We operate in 81 rental locations across the UK, Scotland, and Northern Ireland. Our head office based in Exeter is where our accounts, human resources, insurance, fleet, and car sales departments are. In addition, we operate a central office in High Wycombe where the sales, call centre, and customer service departments are located. It is easy for us to tell you what life is like at Switch and why you would love being a part of our team, but we thought you would like to hear for yourself. TPBN1_UKTJ

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real work environments as realistically as possible - filling them with hard tasks to solve, creating plausible input data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you are responsible for creating these RL environments, running AI agents inside them, and improving both the agents and the environments in the process. The results reach customers, whose feedback feeds back in - and the agent/environment improvement loop continues. • Build new RL environments targeting different agentic capabilities and industry areas, • Train and evaluate agents in those environments, • Make all the pieces work together: tasks, data, tool implementations, and verifiers, • Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments, • Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality, • Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training, • You have engineered agents and optimized them for specific industry use cases, • You have spent dozens of hours reviewing agent trajectories to pinpoint exact failure points and fix them with model training or harness engineering, • You obsess over measuring agentic capabilities and turning that into a repeatable process, • You have had many debates about what a good outcome from an AI agent should look like, you translated that into verifier implementations and tuned the reward designs, • You have designed and run annotation workflows to surface insights into agent performance and verify data quality, • You have built synthetic data pipelines to scale eval and training efforts, • You use agents yourself in your daily work, and have stories about how you improved your setup to 10x your productivity, • A plus: you have experience with training with RL: scaling, troubleshooting and tuning the environments This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch., • Full health and dental benefits, including a separate budget for mental health., • RRSP matching, 401K, Pension Scheme., • 100% Parental Leave top-up for up to 6 months, for either parent., • Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching., • 6 weeks of paid vacation (30 working days!), • Budget for traveling to other offices if you are remote, plus an annual company offsite., • Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon., • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events., • For those not near an office: a co-working benefit so you can work alongside others in your city., • Everyone receives a $500 home office stipend to set up your workspace properly. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. #J-18808-Ljbffr

US/UK Private Client Tax Senior ManagerApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R20513Ideas | People | TrustWe’re BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today’s changing world.We work with the companies that are Britain’s economic engine – ambitious, entrepreneurially-spirited and high‐growth businesses that fuel the economy - and directly advise the owners and management teams that lead them.We’ll broaden your horizonsThe BDO US led private client practice concentrates an offering to address the key US market with a unique tax system which requires US persons to comply in the US irrespective of tax residence. In spite of global changes the US remains a key market for entrepreneurs and families with ramifications of planning and support to address the complexities that the US system places upon those with foreign structures from entities, through trusts, pensions and investments. The provision of services that combine US expertise as a central focus alongside the UK and other third country requirements, positioned as a service for the HNW and (U)HNW, continues to be a growing market as the complexity of the US system alongside many other countries mean that clients and prospects increasingly need access to a truly advisory service which is a differentiator in the way that BDO is building its team.We’ll help you succeedOur rapidly growing Private Client Team manage funds, businesses and trusts of individuals, families, and entrepreneurs. Alongside solving a constantly evolving range of technical challenges, working in this team means building strong relationships with individuals so you can become their trusted advisor and oversee their tax affairs in line with what they want to achieve as an individual or business.We’ve established a strong global network that is recognised as a leader especially in looking after entrepreneurs and owner-managed businesses. You’ll need excellent people skills and strong technical ability as you visit clients across the world. In return, you’ll have unparalleled access to partners and opportunities to develop your career in many different directions as you work across a truly diverse portfolio of global clients.Responsibilities: Leading client relationships with a proactive advisory approach and a strong, adaptable manner to suit an eclectic and demanding client base In depth experience and a strong understanding of working with families and entrepreneurs delivering dual US/UK written advisory memos on topics including pre-US and pre UK residency tax planning, succession planning including advising on trusts, alternate structuring and pensions Wide experience with the use of the UK/US treaty in detail Advanced understanding of complex foreign tax credit scenarios and planning solutions An established record of winning work A reputation in the marketplace and familiarity working in conjunction with lawyers, wealth advisers and other professionals that support UHNW individuals with US aspects to their lives Signing out complex UK and US tax returns including Forms 1040, 1040NR, 3520, 5471, 8858, 8865 etc A strong understanding of CFCs, Subpart F income, GILTI and the potential election planning that can be done to mitigate these factors. Check the box / entity classification advice Strong experience in resolving PFIC issues in a business and investment context and, working with wealth advisory teams on the taxation considerations Experience of presenting internally and externally on topics pertinent to US PCS tax matters The individual would be able to form strong collaborative relationships with other teams on projects A desire for continual learning, assisting in training and inculcating US advisory skills, and development in the junior members of the team Good people management skills and an ability to actively support and influence the continual improvement in efficiencies and the evolution of the US PCS strategic offering in line with the wider firm initiatives. Eager for the opportunity to develop a fast-growing US/UK Private Client practice A successful candidate would have a drive for finding practical solutions, an ability to collaborate and the initiative and resilience to persevere with challenging work.We’re looking for someone with: US Enrolled Agent (EA) and ATT qualifications required as a minimum A broad base of US and UK private client experience working with UHNW families and their family offices Extensive experience delivering written advisory reports Strong capabilities to lead and manage complex projects resolving US and foreign matters involving clients, their advisors, and our global network where needed The passion to make a significant impact within a small, fast growing, dynamic team Good deal of advisory experience and will likely be found in HNW teams.You’ll be able to be yourself; we’ll recognise and value you for who you are and celebrate and reward your contributions to the business. We’re committed to agile working, and we offer every colleague the opportunity to work in ways that suit you, your teams, and the task at hand.At BDO, we’ll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development.We’re in it togetherMutual support and respect is one of BDO’s core values and we’re proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we’ll support you at every stage in your career, whatever your personal and professional needs.Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you’ll always have access to the people and resources you need to do your best work.We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we’ve invested in state-of-the-art collaboration spaces in our offices. BDO’s people represent a wealth of knowledge and expertise, and we’ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you’ll never stop learning at BDO.We’re looking forward to the futureAt BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we’re always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitionsWe’ve got a clear purpose, and we’re confident in our future, because we’re adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better. #J-18808-Ljbffr

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. The Workday Extend Consulting team, part of Workday’s EMEA Services organization, is dedicated to implementing custom business applications, agents, and orchestrations on top of the Workday platform. We help customers solve unique business challenges by extending core HCM and Financials and, increasingly, by building intelligent, agentic experiences that feel native to Workday. We value career growth, learning, and collaboration. We work in an agile way, staying close to our customers for fast feedback and focusing on the business value our solutions deliver. With the introduction of Developer Agent as part of Extend Professional, our team is at the forefront of how professional developers build apps and agents across the full Workday Build stack using natural language and modern AI-assisted tooling. As a Senior Workday Extend Consultant, you will lead the design and delivery of solutions using Workday Extend and Developer Agent for EMEA customers. You will work directly with business and IT stakeholders to: • Discover and shape requirements., • Design architectures that combine Extend apps, agents, orchestrations, and integrations., • Build and iterate on solutions, using Developer Agent and IDE plug-ins to accelerate development. You will act as a trusted technical advisor on how customers should adopt Extend, Developer Agent, and related AI capabilities safely and effectively. This is a hands‑on, customer‑facing role with strong technical depth and plenty of room for thought leadership across EMEA. Run discovery and design workshops to understand business processes and identify where Workday Extend apps with embedded AI experiences can add value (for example, conversational assistance and intelligent recommendations) within the app experience. Use generative coding tools such as Cursor and Workday’s Developer Agent to generate, refine, and refactor application artifacts from natural language descriptions. Define and implement integrations and data flows using modern API patterns (REST, Graph APIs, and, where needed, SOAP via orchestrations). Lead technical workstreams, review designs from other consultants/partners, and promote best practices and reusable patterns. Mentor colleagues in Extend and AI-assisted development and feed implementation learnings back to product and engineering teams. You must be a UK citizen and able to go through SC (Security Check) level UK government security clearance (National Security Vetting). Several years of experience in enterprise software implementation, technical consulting, requirements gathering and solution architecture, ideally on Workday or similar HCM/Financials platforms. Hands‑on experience designing and building solutions on Workday Extend, or strong equivalent experience with an enterprise extension / PaaS platform. Strong domain understanding in at least one area such as Human Resources, Payroll, Financials, or related back‑office processes. Strong architectural design skills across data flows, integration patterns, and security models. Experience with agentic / “vibe coding” tools such as Cursor, Claude Code, Codex, Cline, or other VS Code–compatible AI development environments. Comfortable working with open, text‑based configuration and documentation formats (e.g., Markdown) to define skills, tools, or agent behaviors in a structured way. Excellent communication skills, able to explain complex technical and AI/agentic concepts to non‑technical audiences while going deep with developers and architects. Proven ability to manage multiple workstreams, prioritize trade‑offs, and drive work through to production with high quality. Hands‑on experience integrating with MCP - style patterns for connecting agents to external systems. Prior involvement in early adopter programs for new AI or platform capabilities. Extensive knowledge of web service and integration technologies (REST, SOAP, JSON, XML) and modern auth standards (such as OAuth, JWT, SAML). Fluency in English is mandatory. Additional European languages are an advantage. With Flex Work, we’re combining the best of both worlds: in‑person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in‑office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email . Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. You may view the Workday’s Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision‑making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodation, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email , as far in advance as possible. #J-18808-Ljbffr

JOB ID: FEQ327R160 Location: London, United Kingdom Industry:Transport-Industry Recruiter: Dina Hussain As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. • Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth., • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy, • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team, • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms, • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions, • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritisation, • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement, • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role, • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview, • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms, • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability), • Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions, • Proven track record of driving consumption growth and platform adoption in large accounts, • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy, • Experience leading competitive displacements and complex enterprise evaluations, • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued, • Databricks certifications, • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, • Published thought leadership (blogs, conference talks, open source contributions), • Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is Sunday 15th November 2026, end of day, anywhere on Earth. Security Engineering at the AI Security Institute (AISI) protects our people, partners, models, data and the research infrastructure that AISI's work depends on. We build secure-by-design platforms, automated governance and intelligence-led detection. We work closely with research units and technology teams so researchers can get on with their work. We're now building an offensive security team and have three roles available. We're looking for an experienced offensive security engineer who builds and breaks. You should be able to find and exploit vulnerabilities across cloud, infrastructure and application layers, and want to apply that work to containing and evaluating frontier AI models. Offensive security testing is one of the key controls behind AISI's model evaluations. You'll run engagements against our evaluation and research infrastructure. That includes the sandboxes, Inspect (our open-source evaluation framework), and the supporting cloud, identity and platform services. Alongside testing, you'll build and own agent-assisted red-teaming harnesses that test this infrastructure continuously. You'll work directly with the engineers and with research teams on cyber ranges and evaluation tasks, and there's scope to publish and present your work externally. If you want to attack the systems frontier AI is tested in, use AI agents for offensive work on real targets, and see your findings change how those systems are built, we'd like to hear from you. • Attacking evaluation sandboxes. Testing the environments that contain frontier models during evaluations, including container and VM escape, egress controls, and attacking on the evaluation host from inside the sandbox., • Finding vulnerabilities in Inspect. Finding vulnerabilities in our open-source evaluation framework and the infrastructure around it, and coordinating fixes and disclosure with maintainers and downstream users., • Building and running agent-assisted harnesses. Building, operating and maintaining agent-assisted red-teaming harnesses end to end. Running them, along with manual testing, against every new sandbox and evaluation infrastructure release before evaluations depend on it., • Triaging and proving findings. Separating real issues from noise in what the agents find and confirming the real ones with working exploits., • Comparing agents and humans. Running agent and human red-teaming against the same targets, and feeding what you learn back into the tooling., • Running wider engagements. Planning and running scoped engagements against our cloud, identity, model-access paths and research platform, including joint exercises with our detection team., • Working with researchers. Helping to build and harden cyber ranges, reviewing evaluation tasks for realism and scoring, and providing human baselines., • Managing external testing. Scoping and reviewing external penetration tests., • Working within governance. Keeping model-assisted offensive work within AISI's internal safety governance and approval processes., • Sharing your work. Where appropriate, publishing research, writing blog posts and giving talks on sandbox security and AI-assisted offensive work., • Finding and exploiting vulnerabilities in complex, fast-changing systems, • Building tools that make offensive work repeatable, • Judging which findings are real and worth fixing, including findings from AI agents, • Operating safely and accountably under rules of engagement, • Substantial hands-on offensive security experience in red-teaming, penetration testing, vulnerability research or exploit development, with findings you can talk through in depth, • Depth in at least two of:, • cloud and infrastructure (AWS preferred), • container, VM or sandbox escape, • application security, • vulnerability research and exploit development, • Strong Python and/or another language such as Go, Rust or C, and a track record of writing tools that other people use and that you maintain, • Experience testing live systems safely, • Clear written and verbal communication, including findings that engineers can act on, and the ability to get issues fixed in teams you don't manage, • A serious interest in where frontier AI is heading, and motivation to help make it safe, • Building or using LLM agents, for security work, • Linux internals, kernel or hypervisor security, and isolation technologies such as Kubernetes, gVisor, Firecracker or Proxmox, • CTF challenge design, cyber range building or offensive training content, • Published CVEs, research, conference talks or open-source security tools, • Coordinated vulnerability disclosure, • ML evaluation frameworks and AI/ML platforms, • Mentoring other engineers and raising the technical level of a team We encourage you to apply even if you don't meet every point above. We care more about what you've broken, and how, than about certifications or job titles. The interview process may vary from candidate to candidate, however, you should expect a typical process to include some technical proficiency tests, discussions with a cross-section of our team at AISI (including non-technical staff) and conversations with your team lead. The process will culminate in a conversation with members of the senior leadership team here at AISI. • Initial assessment, • Initial screening call, • Technical assessment, • Research interview, • Behavioural interview, • Final interview with members of the senior leadership team Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required – we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. • Incredibly talented, mission-driven and supportive colleagues., • Direct influence on how frontier AI is governed and deployed globally., • Work with the Prime Minister's AI Advisor and leading AI companies., • Opportunity to shape the first & best-resourced public-interest research team focused on AI security., • Pre-release access to multiple frontier models and ample compute., • Extensive operational support so you can focus on research and ship quickly., • Work with experts across national security, policy, AI research and adjacent sciences., • If you're talented and driven, you'll own important problems early., • 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations., • Freedom to pursue research bets without product pressure., • Opportunities to publish and collaborate externally., • Modern central London office, or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol., • Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment., • At least 25 days' annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering., • Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time)., • On top of your salary, we contribute 28.97% of your base salary to your pension., • Discounts and benefits for cycling to work, donations and retail/gyms., • These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. • Level 3: £65,000-£75,000 (Base £40,850 + Technical Allowance £24,150-£34,150), • Level 4: £85,000-£95,000 (Base £48,540 + Technical Allowance £36,460-£46,460), • Level 5: £105,000-£115,000 (Base £63,165 + Technical Allowance £41,835-£51,835), • Level 6: £125,000-£135,000 (Base £76,475 + Technical Allowance £48,525-£58,525), • Level 7: £145,000 (Base £76,475 + Technical Allowance £68,525) Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. We may use AI tools to help our hiring team review applications, for example by summarising application materials and helping us prioritise them against the published criteria. We do not use AI tools to find information about you from other sources, including online. People make every decision. We do not make solely automated decisions about candidates. Find out more, including your rights, in our recruitment privacy notice: careers/privacy-policy. The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance. Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window). As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK. #J-18808-Ljbffr

We're looking for a Sub Agent to join our Royal Dockyard team based in Plymouth – Devonport. Location: Plymouth – Devonport Hours: 45 hours per week We are unable to offer certificates of sponsorship to any candidates in this role. Many positions within the project are subject to national security clearance restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. KierBAM are a Joint Venture partnership between Kier and Bam Nuttall, currently delivering an exciting redevelopment project at a Royal Navy site in Plymouth. We're seeking an experienced Sub Agent to join our collaborative team in this rewarding and challenging role within a live MOD facility. What will you be responsible for? As a Sub Agent, you'll be working within the Royal Dockyard team, supporting them in delivering this important project. Your day to day will include: Leading, supervising and mentoring team members whilst maintaining high personal standards in health, safety and environmental practices Monitoring and recording delivery against agreed programmes, identifying challenges and creating solutions to minimise impacts Managing resources effectively including labour, plant, materials and subcontractors to ensure timely delivery Communicating effectively with site management, technical specialists, planners, engineers, suppliers and client representatives Reviewing and ensuring risk assessments, method statements and quality processes are in place and followed before works commence What are we looking for? This role of Sub Agent is great for you if: You hold a Degree, HND, HNC or NVQ in Construction, Engineering or Logistics, or equivalent qualification You have a proven track record in delivering construction, civils or logistics operations with excellent organisational skills You possess SMSTS/SSSTS and CSCS certification at the appropriate level You demonstrate excellent communication, leadership and problem-solving abilities with a collaborative approach You have strong management skills with experience in controlling teams and are commercially aware with keen attention to detail Rewards and benefits We're proud to be able to offer our brilliant people a wide variety of benefits that you can tailor to your needs. You can see more information of benefits here. Diversity and inclusion Making Kier a diverse and inclusive place to work is a huge priority for us. We're proud of the steps we've taken so far, but we know we must always do more. Our employees are key in shaping Kier's diversity and inclusion initiatives and our people have made a huge impact on how we work, by using their experiences to shape our policies. You can see our D&I action plan here. As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum criteria for this role will be offered an interview. Due to the nature of this role and the nature of the work at this site, you will be required to complete a BPSS check, which takes place before your employment, and is conducted by the Cabinet Office's United Kingdom Security Vetting (UKSV) agency who set out a pre-requisite criteria including residency history. Applicants with convictions will be treated on a case-by-case basis. We do not discriminate based on an applicant's conviction history or the details of any convictions disclosed to us - to read more about our programme to support people with convictions into employment, visit Making Ground. This role will also be subject to further pre-employment checks. We look forward to seeing your application to #joinkier. TPBN1_UKTJ

NALA is building Payments for the Next Billion. Faster, smarter, and fairer transfers for everyone. Since 2022, we've grown our business 120x, grown the team from 9 to 150+, raised $50M+ from top-tier investors, and were named to the Forbes Fintech 50 in 2025 & 2026. • NALA, our consumer app makes cross-border payments cheaper, faster and more reliable for the global diaspora. Allowing users to send money from the UK, US and EU to Africa and Asia, • Rafiki, our B2B payments infrastructure, is powering global payments for global giants like MoneyGram & Western Union We are refactoring the warehouse for agents and cutting its cost. Analysts, operators, executives, and agents depend on the warehouse. The same question has to return one answer. As Senior Analytics Engineer, you own the transformation layer in dbt and Snowflake. You make it dependable: well modelled, tested, documented, and clear enough that a person or an agent can trust an answer. You are the data-engineering bar for the team, and you work alongside our other analytics engineer. You get up to speed on the stack we have, then help build the post-AI data stack: artifacts an agent can read, tools an agent can operate, context we own, and one reality the company can check. You set the quality standard by example. You are strong enough to shape the data stack over the long run. • Own the modelling and transformation of your domains end to end in dbt and Snowflake, from the business question through to the governed model that answers it, • Set and defend modelling methodology alongside our existing Analytics Engineer, grain, dimensional patterns, and where the exceptions genuinely earn their place, • Make your models agent-ready: semantically rich, consistently named, described in business terms, and safe for something to query without a person checking the output, • Own streaming and near-real-time pipelines (Kafka or similar) alongside batch transformation, keeping real-time flows reliable and cost-efficient before they become a bottleneck, • Establish and enforce coding and agentic-coding standards, systematic testing and documentation as CI-enforced defaults, • Optimise warehouse performance and cost, finding and fixing the query patterns and materialisation choices driving unnecessary spend, • Deploy and supervise autonomous agents against our data stack, and hold our data infrastructure to proper engineering standards: monitored, wired to incident.io and PagerDuty, with escalations, SLAs and documented processes, • Support and mentor analysts on analytics-engineering practice, raising the engineering standard across the team, • Three or more years of production dbt. You can defend a modelling methodology. Kimball sits inside that defence: grain, facts, dimensions, and where a wide table is the wrong choice, • A semantic layer you have used in production. You can explain metrics, dimensions, grain, and joins, and how an agent reads them, • Streaming and warehouse scale. You have owned CDC or another stream, incremental transforms, and a freshness choice with a cost. You can say when a batch model is the wrong place for a high-frequency number, and what sits beside the warehouse: a stream, a low-latency table, or a semantic API, • Snowflake or Databricks. You have worked on cost and scale: incremental versus full refresh, clustering, and a lag target a consumer needs, • Orchestration. You have scheduled, monitored, and repaired a pipeline in Airflow, Dagster, or an equivalent, • CI/CD and deployment management. You have run a project where a pull request builds the changed models and their downstream dependencies against production state, writes them to an isolated schema or clone, and promotes that same selection after merge. You can describe the path from a developer environment through CI into production, how a bad deploy is stopped or rolled back, and the signal that a deploy succeeded, • Three or more years of production Python. You have shipped Python in a pipeline: transforms and checks that run without you. A take-home test, or a notebook, is not this requirement, • You are passionate about building with agents and for agents. Serving agents data at scale is a problem you want. You have used frontier tooling to automate a traditional analytics workload, such as a recurring model change, a reconciliation, or a report. You can show the outcome in time or volume. You can explain how that system is observed, how it is governed, and how it scales past one person on a laptop, • An ontology, or a business entity model, on top of a semantic layer, • A distributed engine such as Spark or Trino, used on data that did not fit a single warehouse query, • Fintech, payments, or another regulated environment, • You own the transformation layer and can name the models people do not trust, the numbers that disagree, and the queries that cost money, • A change to a live model is agreed and visible before it lands, • A teammate can follow your reasoning without a long private explanation, • You have one automation a teammate can run, with a before and after in time or volume, • The team uses the automation you taught them, and you can show the hours or the volume it changed Before you apply, take a look at our Extra Preparation guide, covering our engineering philosophy, tech stack, and what to expect at each interview stage. You will need to first submit your application through our ATS Workable. There is no need to submit a Cover Letter. If successful you will be selected for our interview process, which has the following stages: • [30mins] Interview with the Talent Team, • We want to get to know you and follow up on your experience and motivations. The best preparation is to really know why you applied for the role, including your application questions., • [45mins] Interview with the Hiring Manager, • You'll meet Parth, who leads our Data team. This goes deep on how you have used dbt to solve business problems, how you think about modelling, and how you actually work with AI. The best preparation is to know what's on your CV really well., • Take-Home Task, • A real-world task, scoped at around 2 to 3 hours, with a week to return it. Full use of AI tooling is encouraged, and we ask you to share your prompts alongside the work. It is how we build, and we would rather see it than pretend otherwise, • [1hr] Technical Deep Dive with the Data Team, • You present your take-home to two members of the data team and field questions on your architecture and decisions., • [45mins] Bar Raiser, • A final conversation with a member of our leadership team about track record, ambition and motivations, and your chance to ask whatever you still want to know about the business, • Private Medical Insurance: Full medical cover through a leading UK provider, because your health comes first, • 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard!, • Birthday Leave: Celebrate your special day with a bonus day off to take in that month, • Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (after a 6-month probationary period), • Enhanced Pension: Salary sacrifice pension scheme via Penfold, giving you flexibility and control over how you save for your future, • Life Insurance: 3x salary cover, giving you and your family peace of mind, • Global Workspace: Get access to WeWork locations worldwide, • Hybrid Working: We work in our Canary Wharf Office four days a week (Monday, Wednesday, Thursday and Friday), • Learning Budget: Fuel your growth with $1000 annually for learning and development, • Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team, • Monthly Socials: Join fun social events every month for great times, • Free Coffee: Enjoy barista-style coffee at your fingertips #J-18808-Ljbffr

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit. Statutory audit has relied for decades on manual sampling, opaque billing, and months of administrative friction. Backed by top-tier European seed funds, this company is replacing that paradigm with an autonomous operating system that tests every single transaction deterministically and delivers fully certified statutory sign-offs in days. As a founding engineer, you will own the agent layer that plans, executes, and checks audit work against international accounting standards. This is not an orchestration wrapper or a generic prompt-engineering seat; you will turn ambiguous one-sentence domain problems into dependable, self‑improving agent architectures working alongside licensed auditors. • Architect and ship the agent systems responsible for planning, executing, and evaluating statutory audit workflows against regulatory standards., • Build the evaluation machinery and feedback loops that allow agentic systems to reliably self‑check their evidence trails., • Interface the agent layer with a deterministic transaction engine to verify every single ledger entry rather than relying on statistical sampling., • Work directly with state‑authorised auditors to translate complex legal rules, materiality judgments, and evidentiary standards into autonomous code., • Take ambiguous technical problems from initial concept to live production systems without waiting for tickets or detailed roadmaps., • Track record of owning and shipping production software end to end, with direct accountability for architecture and outcomes., • Deep, hands‑on experience building, evaluating, and operating LLM systems in production, rooted in measurement rather than surface‑level prompting., • Demonstrated ability to break down complex, ambiguous real‑world workflows directly alongside non‑technical domain experts., • Based in London and eager to work in‑office alongside the core team most of the week. As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns. #J-18808-Ljbffr

The AI Factory Lead Architect will lead Advania UK's internal AI Factory, turning high-value business opportunities into impactful AI solutions using Microsoft technologies, including Copilot Studio, Microsoft Foundry and Azure AI. This hands-on role combines technical leadership with stakeholder engagement, requiring the ability to design, build and deliver AI applications, agents and automations that drive measurable business outcomes. You will define the architecture, standards and governance for Advania's AI estate, lead a small team of AI engineers, and ensure solutions are secure, scalable and supportable. Working closely with business leaders, the CTO and CIO, you'll help accelerate Advania's AI transformation while enabling a wider community of AI innovators across the organisation. The budgeted salary for this role is up to £90,000 year, depending on experience. We recognise the benefits that remote and flexible working brings. We operate a hybrid working policy that allows our employees to balance time in the office and time from home. Each team within our organisation can decide how to implement this policy. If you have any questions after applying, please reach out to our recruitment team. • Design and build AI applications, agents, automations and dashboards, selecting the right pattern for each business challenge - agentic, retrieval-based, workflow, or conventional automation, • Own the end-to-end architecture of the internal AI estate – reference architectures, environment and tenant strategy, security, cost management, observability, and the DevOps and source control processes which support it, • Run discovery and shaping sessions with business stakeholders and process owners – translating stated needs into well-defined, feasible use cases with a clear value hypothesis, success measures and adoption plan, • Provide day-to-day technical direction to the team – setting the approach, reviewing designs and code, pairing where useful, and developing their skills across both pro-code and low-code disciplines, • Implement Microsoft-specific technical governance – in Copilot Studio, Power Platform, Azure DevOps, and our Azure subscriptions used for hosting, • Define and run the support model for the AI estate – monitoring and alerting, incident response, change and release management, documentation and knowledge transfer, so solutions remain reliable as usage grows, • Enable the wider maker community – publish agent templates, blueprints, coding and prompt standards, approved datasets and tools, and provide a clear path from citizen-built prototype to governed, supported solution, • Contribute to prioritisation of the use case portfolio – sizing effort, assessing technical feasibility and reuse potential, and advising senior leaders on sequencing by value density, • Report progress, delivery and technical risk clearly to the CTO and senior stakeholders, and present the work of the team to executive audiences, • Maintain an active view of the evolving Microsoft AI roadmap and the wider AI landscape, and bring relevant advances into our internal estate – sharing learning with client-facing AI colleagues, • A steady flow of AI solutions moving from idea to production, with benefits evidenced against an agreed baseline rather than assumed, • Solutions that are genuinely adopted and trusted by the business - used daily, and relied upon by the teams they were built for, • Governance that is real but proportionate - makers across the business can move quickly, safely and within known guardrails, • A supportable estate: solutions are monitored, maintained and improved after launch, with clear ownership and response expectations, • Senior stakeholders across the business who see the AI Factory as the natural route to solving their problems with AI, • Demonstrable experience designing and delivering AI solutions into production, not just POCs, • Strong agent building experience in Copilot Studio (both harnesses) and Microsoft Foundry – implementing complex reasoning via instructions and skills, choosing models appropriately, orchestration, connecting to data sources, tool calling, and working with evaluations and monitoring to ensure agent success, • Solid software engineering foundations, with a background in web app and API development - a modern language such as Python, C# or TypeScript, integration design, source control, CI/CD (ideally Azure DevOps or GitHub Actions), testing and infrastructure as code - backed by strong awareness of the related Azure platform services, • Experience in MCP (Model Context Protocol) development - building and consuming MCP servers to expose internal systems and data to agents securely, • Practical knowledge of RAG, ideally with experience of Azure AI Search, • An understanding of Copilot Studio and Power Platform governance fundamentals, • Fluent use of agentic coding tools such as GitHub Copilot, • The credibility to work directly with senior leaders - translating between business language and technical options, challenging constructively, and presenting clearly, • Solution-level architecture ownership combined with technical leadership of a small team, • Experience in a technology services provider, MSP or consultancy environment, and an understanding of how AI can improve commercial performance, • Broader Power Platform depth - Power Apps, Power Automate and Dataverse, • Microsoft Purview and information protection concepts as they apply to AI - sensitivity labelling, oversharing remediation and data lifecycle, • AB-620: Designing and Building Integrated AI Agent Solutions in Copilot Studio, • AB-100: Agentic AI Business Solutions Architect, • AI-901: Microsoft Azure AI Fundamentals We are the tech company with people at heart. At Advania, we believe in empowering people to create sustainable value through the clever use of technology. As one of Microsoft's leading partners in the UK, specialising in Azure, Security, Dynamics 365, and Microsoft 365, we have a proven track record of success in delivering transformational IT services. Tech is created for people. Our services impact every part of life. We are passionate about understanding your issues, your business, your needs. Our business is built around understanding people, and our employees are empowered to act on this understanding every day. We are committed to ensuring an equitable experience for all candidates, regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. Please do let us know if you’ll need any reasonable adjustments as part of the selection process by highlighting these on your application form. As part of our commitment to our clients we will need to carry out background checks, including a criminal record check, for all offers of employment. If you have any unspent criminal convictions or questions about the screening process, please notify your recruiter once the application has been submitted. #J-18808-Ljbffr

Ramp & Baggage Agent - 2027 Start Ready to Take Your Career to New Heights in 2027? This is an exciting opportunity to work with some of the world’s most prestigious airlines at one of the world’s busiest airports. Cobalt Ground Solutions is looking for enthusiastic, reliable, and hardworking individuals to join our team as Ramp & Baggage Agents at London Heathrow Airport. If you enjoy working in a fast-paced environment, take pride in delivering excellent service, and are committed to safety, this could be the perfect role for you. No previous airport experience is required – full training will be provided. What We Offer • Competitive salary, • Overtime opportunities, • Career development and progression opportunities, • Full training provided, • The chance to work with leading international airlines, • A dynamic and rewarding airport environment About the Role As a Ramp & Baggage Agent, you will play a vital role in ensuring the safe, efficient, and timely handling of baggage, cargo, and aircraft turnaround operations. Your contribution will help ensure a smooth and positive experience for passengers while maintaining the highest safety standards. Key Responsibilities • Assist with the loading and unloading of baggage from aircraft, ensuring correct placement and security., • Transport baggage and cargo between terminal buildings and aircraft., • Load and unload aircraft within specified turnaround times., • Sort baggage and scan baggage tags for flights., • Load containers and trailers and deliver/collect mail and freight from various airside locations., • Coordinate with flight crews and ground staff to facilitate efficient aircraft turnaround., • Manage baggage documentation and tracking to minimise loss or misplacement., • Conduct safety inspections of baggage carts, trolleys, and ground support equipment., • Support aircraft marshalling and guide aircraft on the tarmac when required., • Maintain cleanliness and organisation within baggage handling areas., • Respond promptly to operational issues or emergencies in accordance with established safety procedures. All duties involve the use of large goods vehicles and specialist ground handling equipment. A strong awareness of health and safety and safe working practices is essential; however, full training will be provided. Skills and Attributes To succeed in this role, you should demonstrate: • Excellent time management skills and the ability to work to strict operational deadlines., • Strong problem-solving and analytical skills when addressing operational challenges or safety concerns., • Good organisational skills with the ability to manage multiple tasks efficiently., • Effective communication skills and the ability to work collaboratively as part of a team., • Fluent spoken and written English., • The ability to work under pressure while maintaining accuracy and attention to detail., • Physical fitness and the ability to undertake lifting, bending, pushing, pulling, and prolonged periods of standing and walking. This position is critical to maintaining the safe and efficient operation of airport services. We are looking for candidates who are organised, proactive, dependable, and capable of thriving within a dynamic team environment. Essential Criteria Applicants must meet all of the following requirements: • A fully checkable 5-year employment and/or education history., • A full UK manual driving licence with a minimum of 1 year’s driving experience and maximum of 3 points., • Willingness to undergo a UK DBS (criminal record check) and, where applicable, an overseas criminal record check., • Ability and willingness to work rotating shift patterns (early and late shifts) across a 7-day operation on a 6 days on, 3 days off rota., • Ability to commute to Heathrow Airport for early shifts commencing from 4:25am., • Understanding that the role involves significant manual handling and working outdoors in all weather conditions. Important Information – Documents Required Due to the nature of this role and airport security requirements, applicants must provide the following documentation to be considered for interview: • Proof of your right to work in the UK, such as a valid passport (original and copy required if shortlisted) and any relevant Home Office documentation where applicable 9Right to work share code and Prove of Immigration Status)., • Your driving licence (original and copy required if shortlisted)., • Your DVLA Check Code, obtainable via the GOV.UK website., • Proof of your National Insurance number, such as a payslip from the last 3 months or a P60 from the previous tax year., • Your HMRC 5-Year Employment History Letter, obtainable through the HMRC website, HMRC App, or Self Assessment records if self-employed. Unfortunately, we cannot progress your application to interview stage without the above documentation. Please only apply if you are able to provide all required documents. About Cobalt Ground Solutions Cobalt Ground Solutions is a successful ground handling company based at London Heathrow Airport, operating on behalf of some of the world’s leading airlines. We pride ourselves on delivering outstanding customer service, professionalism, and operational excellence, which has established us as one of Heathrow’s leading ground handling providers. If you are looking for a rewarding role in aviation with opportunities to develop your career, we would love to hear from you. Please visit our website to find out more about the Company.

About Barhale Who are Barhale? Barhale is a business founded on family values, having been established by our Chairman, Dennis Curran, in 1980. Check out the role overview below If you are confident you have got the right skills and experience, apply today. We are one of the largest privately owned civil engineering and infrastructure specialists in the UK, with over 40 years of experience in providing design, civil engineering and maintenance services working across multiple sectors, including: Water Transport Built environment Energy We operate as a tier one partner for blue chip, regulated and private clients, working as part of large frameworks, joint ventures and alliances, as well as on individual standalone projects, developing long-term relationships based on delivering to the Barhale values which have been integral to our business since their inception in 1985. Our direct delivery model is at the core of everything we do, as we believe that people are our greatest asset. Therefore, we robustly source, train and retain all our own frontline delivery teams as well as management and support services. We employ over 1,200 employees nationwide. We possess a range of specialist skills to support our civil engineering and infrastructure activities, including: Tunnelling MEICA Temporary and permanent design Steel-fabrication Signs (design and fabrication) Health & safety equipment and products, including PPE Company Website: Company Showcase Video: Why join Barhale? As Gold Investors in People, we are committed to a high standard of people practices, creating an inclusive environment and ensuring cultural alignment to business strategy, ethos and philosophies. Job security, long-term secured work through various frameworks and large infrastructure schemes A broad range of civil engineering, mechanical and electrical schemes across some of the UK's largest infrastructure projects and clients Strong career progression as demonstrated by our track record in promoting from within, as we believe this is a key driver of our success Senior Engineer The Role The Senior Engineer provides site engineering support across several projects in the region, including supervising trainees and site engineers. The role involves establishing the level and survey control for contracts and setting out detailed works as per the contract drawings, ensuring that checks are made regularly. Key Responsibilities Site Engineer Establish the level and survey control for contracts – handing over for the Site Engineer to undertake daily setting out activities with confidence. Set out detailed works as per the contract drawings, ensuring that checks are made regularly – ensure the Site Engineers are capable and understand Be present for critical setting out activities Ensure records regarding health and safety and the work environment are complete, accurate and comply with organisational and legal requirements – working with the site teams to ensure the Site Engineers are completing their allocated R&Rs. Deliver the work safely, without environmental incidents, and to the specified quality without defects Assist the Site Agent/Sub Agent in developing efficient work methods and techniques, ensuring the best use of resources and abilities are made Deputies for the Sub/Site Agent where required Materials Procurement – undertaking pre-start material take-offs, working with the PMs and populating material procurement schedules. Managing Quality Carry out instrumental checks according to the agreed guidelines and schedule Complete records of quality audits following agreed procedures and timescales, i.e., at the end of the works Give feedback to the Site Agent/Sub Agent regarding areas where corrective action needs to be taken Compile ITPs & Quality Management Plans – be the lead for the Region. Brief ITPs to the Site Teams before delivery Managing resources Ensure the availability of resources and that they consistently meet Barhale's and the client's requirements for quality, quantity, and prompt delivery – advising the Contracts Manager and confirming engineering resources. Deal with any actual or potential problems with resources promptly, liaising with the Site Agent where necessary – annual reports into Junior Engineer progress Ensure records of resources are complete and accurate Organise and conduct toolbox talks Prepare and issue method statements Develop and maintain positive working relationships between operatives and staff; client and contractor; suppliers and contractors; public and contractors; and subcontractors and contractors – attend design meetings for projects supporting the PMs Line Manager for Engineers – a key part of their development and growth. Part of the recruitment process – new Site Engineers. Managing Information Ensure early engagement with SE on project awards, Tender Handover Meetings, and Pre-Commencement Meetings. Obtain all ‘as-built' information, ensuring that it is accurate and relevant Record, store, and maintain records and correspondence in line with organisational and legal requirements – plan a minimum of 2 months before completion of the project for Handover of as-built and QA info Essential: Previous experience in setting out on civil engineering projects, which should include highways, infrastructure, and reinforced concrete works Degree/HNC, or equivalent, in civil engineering CSCS card SMSTS Confined space training Experience using AutoCAD Ability to manage and deliver a successful project with minimal guidance Experience in running reports and ensuring accurate record-keeping Effective working both individually and as a team member Ability to communicate with client representatives, site team and operatives Ability to challenge designs and resolve problems to a conclusion Caring and investing in you Our values have been embedded at Barhale for over 40 years, and they are our guiding principles regarding how we care and invest in people. Our values are our commitment to being a people-centric company. As a Gold Investors in People company and a Sunday Times 100 Best Company to Work For, we are committed to investing in people. xrnqpay We are passionate about creating a working environment where people are supported throughout their careers, where people can enjoy security and be part of a company that cares about them. From the moment you join us, your well-being and career aspirations will be supported by. Competitive salary Company Pension Life Assurance Private Medical 25 days of annual leave in addition to 8 public bank holidays and loyalty days 8 hours volunteering Employee Assistance Programme to support your mental, physiological and financial wellbeing Flexible benefits via salary sacrifice Company car/green car scheme/car allowance/Van (dependent on position) Leadership & management training and coaching Regular line management engagement and appraisal to support your career progression Development supported by internal and externally delivered training Continuous service awards

Job Description Our client is looking for a Customs Brokerage Agent to work nights. SUMMARY DESCRIPTION: Ensure timely and accurate movement of freight and information, while providing exceptional customer service. WHAT YOU DO: Tasks and Duties • Receive documents. xrnqpay, • Prepare customs entries in Customsware or other customs software., • Understand the elements of the Import & export customs SOP., • Ensure accurate an Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below. Please click on the apply button to read the full job description

SAP Integration Lead Initial 3 month contract Outside IR35 - market rate Hybrid - 3 days per week working from home, 2 days working in the office Overall purpose of the role The Integration Lead gives SAP Futures a single owner for integration. Today nobody has that job: DMU lost its dedicated integration expertise in the restructure, and no one maintains the SAP interface inventory. The programme is moving DMU from ECC and SAP Process Orchestration (PO) to SuccessFactors, Concur and S/4HANA, with SAP Integration Suite on BTP as the target middleware. NTT DATA is delivering the SuccessFactors build, including 39 People Services interfaces (21 standard, 18 custom). The role defines the To-Be integration landscape, works out what can be switched off after go-live, builds one integration catalogue across Finance, Student and People Services, and turns that into a full SAP Futures integration strategy aligned to the DMU Integration Strategy. Main duties and responsibilities The first four pieces of work run in this order. Each builds on the one before. 1. SuccessFactors To-Be integration view Create the To-Be integration architecture for SuccessFactors, covering Employee Central, Payroll (ECP), Recruitment, Onboarding, Learning, Performance & Goals and People Analytics. Get to know the current People Services integrations in depth, using the People Services Integration Inventory as the baseline. Confirm the integration pattern for each interface: SAP Integration Suite (CPI), point-to-point or Integration Center. Agree where each one should sit. Work with NTT DATA to check their designs against the To-Be view. Track the custom interfaces and how the contingency allowance is used. Drive open items to closure with People Services, Finance and D&T. These include pension and benefits automation, Worktribe, SWP/timetabling, Key Travel, HESA staff returns and the OpenText IDM identity interfaces DMU will deliver. 2. Decommissioning after go-live Compare the To-Be landscape with today's ECC, PO and Gateway interfaces. Identify what can be switched off after SuccessFactors go-live. Produce a decommissioning plan with dependencies, owners, retirement dates and checks, including for manual file transfers and reports that new integrations replace. Flag interfaces that must stay until the S/4HANA conversion, such as Agent Portal and the remaining PO interfaces. 3. Integration catalogue for Finance, Student and People Services Build and own one integration catalogue across Finance, Student and People Services. Use the existing SAP interface inventory and the ECC/PO/Gateway extract as the start point. Record for each interface: source, target, middleware, direction, data, frequency, owner, standard or custom, and status (current, To-Be, retire). Set up a process to keep the catalogue current, so ownership does not lapse again. 4. Student interfaces, then the full integration strategy Build the list of Student interfaces with the Student Academic product team and Registry, including SLcM and its links to HR data. Using the catalogue, write the SAP Futures integration strategy: principles, target patterns, middleware roadmap from PO to Integration Suite, governance, ownership and support model. Align the strategy with the DMU Integration Strategy, which Mark Packham's team aims to baseline by the end of 2026, and contribute to its review cycles. Essential experience Proven SAP integration lead or architect experience on a major transformation programme. Hands-on knowledge of SAP SuccessFactors integration, especially Employee Central to ECC/ECP, using Integration Center and standard packaged integrations. Strong SAP Integration Suite (CPI) and SAP PO/PI experience, including migration from PO to Integration Suite. Track record of producing To-Be integration architectures and decommissioning plans. Experience building and maintaining integration catalogues across several business areas. Ability to write an integration strategy covering principles, patterns, governance and support model. Confident working with a systems integrator (SI), reviewing designs and holding them to scope. Clear communicator with HR, Finance, Student and D&T stakeholders. Desirable experience Higher education experience, including SAP SLcM or student system integrations. HESA data returns and regulatory reporting. Identity integrations (SAP IAS/IPS, OpenText IDM or similar). SAP Concur and S/4HANA integration. Integration with pension, benefits and payroll third parties. Knowledge of enterprise architecture frameworks or design authorities. Candidate profile The right candidate is a hands-on SAP integration specialist who can also think at strategy level. They can pick up a partly documented landscape, establish the facts, and give DMU a clear current and target picture quickly. TPBN1_UKTJ

PROPERTY MANAGER Rendall & Rittner • Competitive • Hybrid - London ROLE OVERVIEW You'll manage a varied London portfolio across Wimbledon, Clapham, Southwark and Wapping, building trusted relationships with residents, clients and contractors. You'll bring solid block management foundations (ideally two years) and confidence with higher-risk buildings, ensuring compliance and great resident experiences in equal measure. This is a role where you'll balance site presence with smart, proactive planning. You'll be supported by specialist teams and modern systems as part of the Odevo Group, giving you the tools to stay ahead on building safety, budgets and communication while keeping the human touch at the heart of everything you do. ROLE EXPECTATIONS Most days you'll be prioritising resident and client queries, planning and completing site inspections, and progressing actions with contractors. You'll lead on compliance for HRBs, manage service charge budgets and reporting, and keep stakeholders informed with timely, clear updates. WHAT SUCCESS LOOKS LIKE Residents and clients trust you, with issues resolved first time and proactive updates before they need to ask. Buildings are fully compliant, with clear evidence trails and no surprises on audits or inspections. Budgets are accurate, variances are explained, and year-ends are delivered smoothly and on time. Planned and reactive works complete safely, on schedule and to spec, driving excellent value for money. Risks are identified early and managed effectively, with practical, proportionate solutions implemented. Engagement is strong across your portfolio, with well-run meetings and constructive relationships. HOW YOU'LL SPEND MOST OF YOUR TIME Conducting regular site inspections and turning findings into clear actions with owners and contractors. Owning compliance tasks for HRBs, including documentation, statutory checks and resident engagement. Preparing and managing service charge budgets, monitoring spend and supporting year-end processes. Leading Section 20 consultations and overseeing planned maintenance and remedial works. Managing suppliers: scoping, tendering, instructing and performance-checking against KPIs. Communicating updates, advice and decisions to residents, RTMs/RMCs and freeholders. WHO THIS ROLE IS FOR You care about people and places, and you follow through—your word is your bond. You're organised, calm under pressure and comfortable juggling deadlines across multiple sites. You think commercially, balancing cost, quality and safety to deliver great outcomes. You're a clear communicator who adapts your style for different audiences. You embrace change, new systems and smarter ways of working. EXPERIENCE THAT HELPS Experience managing residential blocks in London, ideally including HRBs and post-Building Safety Act processes. Exposure to service charge budgeting, variance analysis and year-end collaboration with accounts teams. Hands-on contractor and project management, from scoping to sign-off. Running resident/client meetings and consultations, including Section 20. Using property management software and digital tools to stay organised and transparent. WHAT WE OFFER Competitive salary Discretionary bonus 25 days holiday plus bank holidays, with the option to buy or sell holiday Salary sacrifice scheme Private healthcare (subject to seniority or 3 years' service), life assurance Telus Health wellbeing platform Free eye tests and Cycle to Work scheme Enhanced maternity and paternity pay (service-dependent) Fully funded training and professional development Long service reward, from 5 years' service Employee referral scheme, up to £1,500 Staff social events ABOUT RENDALL & RITTNER Rendall & Rittner is one of the UK's most established and highly accredited residential leasehold property management companies, managing over 90,000 homes nationwide. Founded in 1990 on the belief that property management should be more professional, transparent and customer-focused, those principles still drive how we operate today as a founding partner of Odevo. We are people-led and technology-enabled, investing heavily in our teams, systems and continuous improvement. Our standards are recognised through Investors in People Platinum, regulation by RICS and the FCA, and multiple industry awards, including Property Manager of the Year and Managing Agent of the Year. HOW WE HIRE Initial conversation with our talent team Interview focused on your block management expertise, building safety/compliance knowledge, financial acumen, stakeholder communication and values alignment We aim to complete the process within two to three weeks and communicate clearly throughout. INTERESTED? Apply with your CV. All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required. Appointment is subject to a valid DBS check. TPBN1_UKTJ

This job is with Braze, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. We’re looking for an Atlassian Administrator who is organized, customer-focused, and excited to build deeper expertise across Jira, Jira Service Management, Confluence, and the broader Atlassian Cloud ecosystem. In this role, you will support the day-to-day administration and operation of Braze’s Atlassian platforms, helping teams work more effectively through reliable configuration, responsive support, clear documentation, and thoughtful automation. You will serve as a key point of contact for Atlassian requests across the business, supporting everything from access and permissions to workflows, project configuration, JSM queues, dashboards, reporting, and troubleshooting. You will work closely with our Lead Atlassian Solutions Engineer to ensure changes are implemented consistently and in accordance with Braze’s platform governance and change management standards. You will also contribute to larger initiatives including platform cleanup, workflow consolidation, service management improvements, automation, ScriptRunner development, and Braze’s growing use of Atlassian Rovo and AI agents. If you enjoy solving problems, helping users, improving systems, and continuing to develop your technical skills in a large Atlassian Cloud environment, we’d love to meet you. You’ll support the operation and continued improvement of Braze’s Atlassian ecosystem, including: • Platform Administration and User Support:, • Manage the day-to-day request queue for Jira, Jira Service Management, and Confluence, resolving configuration, access, reporting, and usability issues while keeping stakeholders informed., • Jira and JSM Configuration:, • Configure and maintain projects, workflows, screens, custom fields, issue types, request types, queues, SLAs, forms, permission schemes, notification schemes, and customer portals., • Automation and Operational Efficiency:, • Build and maintain Jira Automation rules that reduce manual work, improve consistency, and support repeatable business processes., • Rovo and AI Enablement:, • Support and improve Rovo agents by maintaining instructions and knowledge sources, troubleshooting unexpected behavior, testing new use cases, and gathering feedback from users., • Reporting and Visibility:, • Create and troubleshoot JQL queries, filters, dashboards, and reports that provide teams with visibility into workload, service performance, and operational trends., • Governance and Access Management:, • Manage users, groups, roles, and permissions while supporting license reviews, access reviews, change management, and documentation requirements., • Documentation and Enablement:, • Maintain platform documentation, knowledge articles, and training materials, including async walkthroughs that help teams self-service common Atlassian tasks., • Platform Improvement Initiatives:, • Partner with the Lead Atlassian Solutions Engineer on project rollouts, workflow consolidation, JSM improvements, platform cleanup, application integrations, and other initiatives that improve the scalability and usability of the Atlassian environment., • Own and manage incoming Atlassian administration requests, prioritizing work based on business impact and urgency., • Configure and maintain Jira, Jira Service Management, and Confluence configurations across projects, workflows, fields, permissions, queues, forms, SLAs, portals, spaces, and templates., • Manage users, groups, roles, and access while supporting periodic license and access reviews., • Build and troubleshoot JQL queries, filters, dashboards, and operational reports., • Create and maintain Jira Automation rules for well-defined administrative and business use cases., • Support existing Rovo agents and assist with the creation, testing, and rollout of new agents and AI-enabled workflows., • Troubleshoot Atlassian Marketplace applications and coordinate with vendors or Atlassian Support when escalation is required., • Test configuration changes in non-production environments before implementation., • Maintain clear documentation for configurations, processes, and recurring administrative tasks., • Create training materials and async walkthroughs that enable teams to use Atlassian tools effectively., • Assist with ScriptRunner administration by reviewing, testing, troubleshooting, and making guided updates to existing scripts., • Support larger Atlassian initiatives under the direction of the Lead Atlassian Solutions Engineer, taking on increasing ownership as your technical experience grows., • Have 3 to 5 years of hands-on experience administering Jira and Confluence in a business environment, preferably using Atlassian Cloud., • Have working knowledge of Jira Service Management, including request types, queues, SLAs, forms, and customer portals., • Comfortable writing JQL and creating filters, dashboards, and operational reports., • Familiar with Jira Automation and understand how automation can improve repeatability and reduce administrative effort., • Have exposure to ScriptRunner through reading, testing, troubleshooting, or modifying existing scripts., • Familiar with Atlassian Rovo and AI-enabled workflows, including experience with Rovo Search, Rovo Chat, or configuring Rovo agents., • Comfortable troubleshooting platform issues and working through problems methodically., • Strong written communicator who documents changes clearly and can explain technical concepts to non-technical users., • Customer-focused and comfortable working directly with teams across different functions and levels of technical experience., • Organized and able to manage competing requests while distinguishing true business urgency from less critical work., • Motivated to continue developing deeper expertise in Atlassian administration, automation, scripting, and solution design., • Comfortable working within established change management, governance, and documentation standards., • Atlassian certifications such as ACP-120 Jira Administration for Cloud or ACP-220 Confluence Administration for Cloud., • Experience supporting ITSM or ITIL-aligned service management processes., • Familiarity with Atlassian Guard, SSO, SCIM provisioning, or enterprise identity management., • Experience working with Jira or Confluence REST APIs., • Practical experience writing prompts or agent instructions and refining them based on user feedback and observed results., • Scripting experience with Groovy, Python, JavaScript, or similar languages., • Experience with adjacent enterprise platforms such as Slack, Okta, or Google Workspace., • Experience working in a high-growth SaaS or technology environment. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at _. More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: • Competitive compensation that may include equity, • Retirement and Employee Stock Purchase Plans, • Flexible paid time off, • Comprehensive benefit plans covering medical, dental, vision, life, and disability, • Family services that include fertility benefits and equal paid parental leave, • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend, • A curated in-office employee experience, designed to foster community, team connections, and innovation, • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching, • Employee Resource Groups that provide supportive communities within Braze, • Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. Depending on where you are located, you may have certain rights available to you in relation to Braze’s use of AI: • To opt out of AI-assisted review of your application, please click the “Learn More” at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application., • To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a manual review of any decision made or to contest a decision, please contact us at _. Please contact us at with any questions. To find out more about our hiring process, check out . Notice Regarding Automated Employment Decision Tool (NYC Local Law 144) Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. To opt out of AI-assisted review of your application, please click the “Learn More” button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at promptly after applying. Summaries of the most recent bias audit results for such tools are available . Please see our for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

ESTATE OPERATIVE Rendall & Rittner • £25,521 • White City Living - W12 7RQ • Wednesday - Sunday 0800 - 1600 DEVELOPMENT DETAILS Join a landmark West London neighbourhood delivering up to 1,465 new homes, where life runs through 39,000 sq ft of exceptional residents' amenities. From lounges and cinemas to pools and a Health Club with virtual golf, this is a hospitality-grade setting with a constant buzz. The development sits beside White City and Wood Lane Underground stations, bringing a diverse community, frequent visitors and a fast-paced, high-standard environment to support every day. ROLE EXPECTATIONS You will be the visible, proactive face of the estate, keeping communal areas pristine, welcoming residents and supporting the smooth running of daily operations. You will complete cleaning, caretaking and minor maintenance tasks, respond to requests, and work closely with onsite teams and contractors to maintain five-star standards. WHAT SUCCESS LOOKS LIKE Residents feel welcomed, listened to and confident that issues are resolved promptly. Communal areas, facilities and back-of-house spaces are consistently clean, safe and well-presented. Tasks are completed on time with clear updates logged and escalations made when needed. Health and safety procedures are followed precisely, with hazards identified and addressed early. You collaborate seamlessly with the concierge, management and contractors to keep the estate running smoothly. You spot opportunities to improve standards and take initiative to make them happen. HOW YOU'LL SPEND MOST OF YOUR TIME Carrying out scheduled cleaning, waste management and caretaking across internal and external communal areas. Conducting regular inspections, reporting defects and supporting minor repairs or arranging contractor access. Assisting residents courteously, answering queries and signposting to the right support. Setting up and resetting shared spaces, plant rooms and back-of-house areas to agreed standards. Monitoring health and safety, completing checklists and ensuring safe systems of work are followed. Supporting deliveries, keys, storage areas and general logistics to keep operations efficient. WHO THIS ROLE IS FOR You take pride in high standards and notice the details others miss. You are friendly, approachable and calm under pressure, with a can-do attitude. You enjoy active, hands-on work and being on your feet around a large, premium site. You communicate clearly, work well in a team and follow through on commitments. You are reliable, punctual and comfortable working early shifts over Wednesday to Sunday. EXPERIENCE THAT HELPS Experience in estates, facilities, housekeeping, hospitality or leisure environments. Familiarity with cleaning equipment, safe waste handling and basic maintenance tasks. Knowledge of health and safety practices, including risk awareness and hazard reporting. Experience supporting residents or customers in busy, service-led settings. Confidence using radios, handheld devices or basic systems to log tasks and updates. WHAT WE OFFER 20 days holiday plus bank holidays Enrolment into the Rendall & Rittner pension scheme Employee assistance programme supporting family, health, money and work Employee referral scheme Team uniform* subject to development Fully funded training and development opportunities Access to discounts across travel, retail, fitness and entertainment ABOUT RENDALL & RITTNER Rendall & Rittner is one of the UK's most established and highly accredited residential leasehold property management companies, managing over 90,000 homes nationwide. Founded in 1990 on the belief that property management should be more professional, transparent and customer-focused, those principles still drive how we operate today as a founding partner of Odevo. We are people-led and technology-enabled, investing heavily in our teams, systems and continuous improvement. Our standards are recognised through Investors in People Platinum, regulation by RICS and the FCA, and multiple industry awards, including Property Manager of the Year and Managing Agent of the Year. HOW WE HIRE Initial conversation with our talent team Interview focused on your site standards, customer service, health and safety awareness and teamwork We aim to complete the process within two to three weeks and communicate clearly throughout. INTERESTED? Apply with your CV. All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required. Appointment is subject to a valid DBS check. TPBN1_UKTJ

Real estate is the world's largest asset class — $393 trillion globally, bigger than all stocks, bonds, and gold combined. Over $1 trillion a year, globally, goes to the teams running properties — leasing, maintenance, collections, accounting, marketing, HR, asset management. Same bundle of tasks at every property, every day, across every vertical. The surface looks different across office, multifamily, senior living, self-storage, affordable housing, student housing, coworking, hospitality. The work underneath is the same. Today that work is stuck in tickets, phone queues, and a dozen disconnected tools. Real estate has been waiting for an execution layer. Uniti is building it — the system of action for real estate. AI agents for every front- and back-office workflow, operating across voice, email, SMS, WhatsApp, and chat. One horizontal layer, every vertical. Work gets done faster, around the clock. The humans on our customers' teams get to focus on the parts of the job that actually need them. As a Customer Success Manager at Uniti, you'll own customer relationships from the moment they go live through renewal and expansion, across every vertical we serve — for our operators outside the US. Based in the London area, you'll manage our international book across multiple countries and time zones, partnering with Sales, Implementation, Product, and Engineering to make every operator successful with their first agent — and walk them into the next one. This role exists because our international customer book is growing faster than any one person can hold, and because the customers we keep and grow this year are the ones who carry us into the next vertical — and the next country. Own the post-sale relationship for every international operator on your book — onboarding, adoption, renewal, and expansion — across countries and time zones outside the US. Partner with the AE on a clean Sales-to-Implementation handoff, then run the kickoff and pilot phase alongside the Implementation Manager through go-live, coordinating across time zones as needed. Monitor agent performance and operator health weekly — call quality, response time, conversion, escalations — and surface risks before they become churn, accounting for local market and regulatory context where relevant. Lead renewal conversations and identify expansion paths into additional agent families, additional channels, and additional countries. You own the commercial conversation, not just the relationship. Translate what you hear from international operators into product feedback that lands with the right people on Product and Engineering. Be the international operator's voice in the building. Keep internal systems current — health scores, churn risk indicators, expansion forecasts, check-in cadence in Monday.com — so commercial leadership can see the international book at a glance. Develop real affinity for what our customers actually deal with day-to-day, wherever they operate. Talk to operators. Sit in on calls. Share what you learn with the team. 3–5 years in Customer Success, Account Management, or Strategic Partnerships at a SaaS or AI company. Real estate or multi-location operator experience strongly preferred. Time spent operating, selling into, or supporting real estate operators is the single best predictor of success in this role. Experience managing customers across multiple countries or time zones. Comfort working with international teams and adapting to different markets is a must. Strong understanding of the customer lifecycle from pilot through renewal and expansion. You've owned commercial conversations before, not just relationship ones. CRM (Salesforce, HubSpot), a BI tool, Monday.com or similar. Analytical instinct: you can read an operator's adoption metrics and tell us what's actually going on, not just what the dashboard says. A track record of running ambiguous customer situations end-to-end — figuring out what's broken, scoping the fix, and bringing in the right internal partners. Based in or around London, with flexibility to work across time zones to support an international customer base. Operator background — you've worked at a real estate operator, a property management company, or a vertical SaaS that sold into one. Familiarity with PMS systems used by real estate operators, including outside the US. Prior work at an AI-native company where you've owned customer success during a category's early growth. Experience working with customers across the UK, Europe, or other international markets. Startup experience a big plus. You want to be at an early-stage startup. You've been in a high-growth environment before and you know what tripling headcount in a year actually feels like. You take ownership of large, undefined problems. Two operators escalated the same issue from different angles. You don't wait for a process — you scope the fix, line up Engineering, and own the customer conversation through to resolution. You're collaborative and independent. You run your book end-to-end, and you pull in Sales, Implementation, Product, and the CEO at the right moments. You're close to the customer. You'd rather sit on an operator's call than watch a churn dashboard. The best ideas about our product come from what operators actually say. You ship fast and iterate. You'd rather try a new health-check format this week and refine it next month than spend a quarter designing the perfect one. You're comfortable being the person building out how Uniti supports customers beyond the US — comfortable with ambiguity, different markets, and working async across time zones. Full medical, dental, and vision coverage Flexible PTO Meaningful equity and responsibility #J-18808-Ljbffr

The AI Factory Lead Architect will lead Advania UK's internal AI Factory, turning high-value business opportunities into impactful AI solutions using Microsoft technologies, including Copilot Studio, Microsoft Foundry and Azure AI. This hands-on role combines technical leadership with stakeholder engagement, requiring the ability to design, build and deliver AI applications, agents and automations that drive measurable business outcomes. You will define the architecture, standards and governance for Advania's AI estate, lead a small team of AI engineers, and ensure solutions are secure, scalable and supportable. Working closely with business leaders, the CTO and CIO, you'll help accelerate Advania's AI transformation while enabling a wider community of AI innovators across the organisation. The budgeted salary for this role is up to £90,000 year, depending on experience. We recognise the benefits that remote and flexible working brings. We operate a hybrid working policy that allows our employees to balance time in the office and time from home. Each team within our organisation can decide how to implement this policy. • Design and build AI applications, agents, automations and dashboards, selecting the right pattern for each business challenge - agentic, retrieval-based, workflow, or conventional automation, • Own the end-to-end architecture of the internal AI estate – reference architectures, environment and tenant strategy, security, cost management, observability, and the DevOps and source control processes which support it, • Run discovery and shaping sessions with business stakeholders and process owners – translating stated needs into well-defined, feasible use cases with a clear value hypothesis, success measures and adoption plan, • Provide day-to-day technical direction to the team – setting the approach, reviewing designs and code, pairing where useful, and developing their skills across both pro-code and low-code disciplines, • Implement Microsoft-specific technical governance – in Copilot Studio, Power Platform, Azure DevOps, and our Azure subscriptions used for hosting, • Define and run the support model for the AI estate – monitoring and alerting, incident response, change and release management, documentation and knowledge transfer, so solutions remain reliable as usage grows, • Enable the wider maker community – publish agent templates, blueprints, coding and prompt standards, approved datasets and tools, and provide a clear path from citizen-built prototype to governed, supported solution, • Contribute to prioritisation of the use case portfolio – sizing effort, assessing technical feasibility and reuse potential, and advising senior leaders on sequencing by value density, • Report progress, delivery and technical risk clearly to the CTO and senior stakeholders, and present the work of the team to executive audiences, • Maintain an active view of the evolving Microsoft AI roadmap and the wider AI landscape, and bring relevant advances into our internal estate – sharing learning with client-facing AI colleagues, • A steady flow of AI solutions moving from idea to production, with benefits evidenced against an agreed baseline rather than assumed, • Solutions that are genuinely adopted and trusted by the business - used daily, and relied upon by the teams they were built for, • Governance that is real but proportionate - makers across the business can move quickly, safely and within known guardrails, • A supportable estate: solutions are monitored, maintained and improved after launch, with clear ownership and response expectations, • Senior stakeholders across the business who see the AI Factory as the natural route to solving their problems with AI, • Demonstrable experience designing and delivering AI solutions into production, not just POCs, • Strong agent building experience in Copilot Studio (both harnesses) and Microsoft Foundry – implementing complex reasoning via instructions and skills, choosing models appropriately, orchestration, connecting to data sources, tool calling, and working with evaluations and monitoring to ensure agent success, • Solid software engineering foundations, with a background in web app and API development - a modern language such as Python, C# or TypeScript, integration design, source control, CI/CD (ideally Azure DevOps or GitHub Actions), testing and infrastructure as code - backed by strong awareness of the related Azure platform services, • Experience in MCP (Model Context Protocol) development - building and consuming MCP servers to expose internal systems and data to agents securely, • Practical knowledge of RAG, ideally with experience of Azure AI Search, • An understanding of Copilot Studio and Power Platform governance fundamentals, • Fluent use of agentic coding tools such as GitHub Copilot, • The credibility to work directly with senior leaders - translating between business language and technical options, challenging constructively, and presenting clearly, • Solution-level architecture ownership combined with technical leadership of a small team, • Experience in a technology services provider, MSP or consultancy environment, and an understanding of how AI can improve commercial performance, • Broader Power Platform depth - Power Apps, Power Automate and Dataverse, • Microsoft Purview and information protection concepts as they apply to AI - sensitivity labelling, oversharing remediation and data lifecycle, • AB‑620: Designing and Building Integrated AI Agent Solutions in Copilot Studio, • AB‑100: Agentic AI Business Solutions Architect, • AI-901: Microsoft Azure AI Fundamentals We are the tech company with people at heart. At Advania, we believe in empowering people to create sustainable value through the clever use of technology. As one of Microsoft's leading partners in the UK, specialising in Azure, Security, Dynamics 365, and Microsoft 365, we have a proven track record of success in delivering transformational IT services. We are committed to ensuring an equitable experience for all candidates, regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. Please do let us know if you’ll need any reasonable adjustments as part of the selection process by highlighting these on your application form. As part of our commitment to our clients we will need to carry out background checks, including a criminal record check, for all offers of employment. If you have any unspent criminal convictions or questions about the screening process, please notify your recruiter once the application has been submitted. #J-18808-Ljbffr

Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. The Enterprise FDE motion focuses on Tavily's highest-value customers and strategic enterprise opportunities - from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion. This is a full-time, on-site role based in our New York office. As a Forward Deployed Engineer, Enterprise, you'll work directly with Tavily's largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily's API. You'll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. You'll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You'll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal. • Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements., • Lead technical discovery and solution design during pre-sales and expansion conversations., • Scope, build, and deliver proofs of concept that demonstrate clear business and technical value., • Design and implement production-ready integrations using Tavily's API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications., • Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production., • Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value., • Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input., • Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation., • Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews., • Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts., • 5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant., • Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development., • Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks., • Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout., • Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems., • Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers., • High autonomy, strong ownership, and comfort operating in a fast-moving startup environment., • Excellent written and verbal communication skills, with the #J-18808-Ljbffr

Searchable is an agentic marketing platform built for the age of AI search. ChatGPT, Claude, Perplexity and Google AI Overviews have transformed how people discover information. Brands now need to measure and optimise their visibility across all of the major AI search engines. We help companies grow their organic presence across SEO, AEO, and GEO through a fully agentic platform that identifies opportunities, recommends actions, and automates improvements with Searchable’s AI agent. We’re at $5M ARR in just 10 months, backed by top angels and VCs, and building the team that will define the category. We’re office-based five days a week near London Bridge. If you thrive in a startup culture where people put in hours because they love solving hard problems and taking radical ownership, you'll fit right in. You’ll own a book of mid-market brands and agencies from onboarding through renewal and expansion. This isn’t a support seat or a relationship-only role. You’ll manage a larger book with faster cycles, so you’ll need to know where to spend your time, help customers turn AI Search data into decisions quickly, and build the scalable playbooks, reporting and programs that let the team grow without adding headcount at the same rate. You don’t need to know our platform on day one. We’ll teach the product. We’re hiring for ownership, judgment and the ability to build. Own a book of mid-market brands and agencies end to end: onboarding, adoption, renewal and expansion. Get new customers to a first meaningful result fast, with prompt sets, competitor tracking and a clear visibility baseline in place within their first weeks. Run focused, efficient business reviews that connect AI Search visibility, sentiment and AI referral traffic to the customer’s goals, scaled to the size and potential of each account. Prioritise your book using usage and health data, spot risk early and act on it before it shows up at renewal. Own a high volume of renewals and drive expansion: more prompt volume and capacity, brands, markets and agency clients. Build relationships beyond a single champion, up to Director and Head of Marketing level, often in lean teams where one person wears many hats. Design and run one-to-many motions, such as onboarding webinars, templated reviews, office hours and automated check-ins, so every customer gets value, not just the largest. Turn one-off fixes into playbooks, templates and reporting the whole team uses. Bring the voice of the customer to Product, Engineering and Marketing with specific, evidence-backed feedback, including patterns you see across many accounts. Keep account records current enough that another CSM could step in and know what to do. Owner mindset. You treat your accounts like your own business. You look at the data and come to customers with a recommendation, not a status update, and you raise risk before anyone asks. Ruthless prioritiser. You can manage a large book without letting anything slip. You know which accounts need a call, which need an email and which need nothing this week. Self-directed builder. You don’t wait for a playbook to exist. When you solve a problem for one customer, you build the thing that solves it for the next fifty. Commercially sharp. You spot revenue opportunities in your book and go after them. You grow accounts by growing the customer’s results, so expansion feels like the obvious next step, not a sales pitch. Just as important, you care about your customers’ success and hold a clear bar for quality in your own work, even at volume. You get fluent in the platform fast and use its data to tell customers something they didn’t know. 3-4 years in Customer Success, account management or client services at a B2B SaaS company or agency. Experience managing a large book of SMB or mid-market accounts, with a track record of owning renewals and driving expansion against a number. Clear, concise writing, from a two-line recap to a scalable email sequence or account plan. Comfort with data: you can pull the story out of a dashboard, explain it simply and use it to prioritise your time. Agency experience, especially in SEO, content or performance marketing. Hands-on familiarity with SEO or AI Search, Google Analytics or Google Search Console. Experience building scaled or digital-touch CS programs (webinars, in-app guidance, automated lifecycle emails). Early-stage startup experience where you build processes from scratch. Salary: Competitive (DOE) Meaningful early-stage equity pre Series A 25 days' holiday plus bank holidays Enhanced salary sacrifice pension Workplace nursery scheme Monthly fitness and wellbeing reimbursement Flexibility in hours – around life and family commitments #J-18808-Ljbffr

TL;DR — You own how we measure and improve Lovable's AI agent. You build the eval systems and experiments that tell us whether a change makes the agent better or worse, and you turn agent telemetry into the fixes that raise success rates and cut errors. At Lovable, data scientists are not isolated model-builders; they sit close to the product, experimenting continuously with how intelligence changes user behavior and product dynamics. Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started. We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software. A data scientist who wants to make an AI agent measurably better, not just report on it. You own agent quality metrics and drive them up. Experience or strong interest in LLM evaluation and observability: building evals, scoring outputs, tracing agent behavior, and catching regressions. Strong SQL and Python, applied statistics, and experimentation. Comfortable designing A/B tests for agent changes where outcomes are noisy. You build systems and agents that produce this insight continuously, rather than one-off analyses. Instinct for what "good" looks like in agent behavior (success, error rates, task completion) and how to measure it when there is no clean answer key. Entrepreneurial. Thrives in ambiguity, and works closely with the engineers building the agent. Define and own the metrics for agent quality: success, completion, error rates, and the behaviors that drive them. Build the eval systems and experiment framework that decide whether an agent change ships, like an A/B-tested rollout that catches a change increasing errors before it reaches everyone. Turn agent traces and telemetry into concrete fixes, working directly with the agent engineering team. Build the tooling and agents that produce these evaluations continuously as the agent evolves. Set the bar for how we judge agent behavior where there is no answer key to check against. We're building with tools that both humans and AI love: Languages: SQL and Python LLM evaluation & observability: Braintrust, OTEL tracing, many LLM providers Warehouse & events: BigQuery, PubSub Analytics & product: Hex, Lovable Apps Experimentation: A/B and growth testing Cloud: GCP And always on the lookout for what's next. We treat all candidates equally. #J-18808-Ljbffr

Req ID: FEQ427R18 Location London, UK As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth, • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics, • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors, • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions, • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain, • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs, • Influence product direction by providing structured feedback on customer requirements and competitive gaps, • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role, • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills, • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms, • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations), • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis, • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations, • Track record of driving platform adoption and consumption growth within accounts, • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • Databricks certifications (Data Engineer, ML, Platform), • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against, • Background in a data/AI company or cloud provider, • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Publicis Mediaharnesses the power of modern media through leading agency brandsDysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, StarcomandZenith, as well as global acceleratorPMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings fromCJ, EpsilonandInfluential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value anddrive growth in a platform-poweredworld. It is present in over 100 countries with over 23,000 employees worldwide. We are looking for a leader who sets the vision and standards for AI agent and skill development on the MRCL (Marcel) platform, leveraging deep expertise in media data and AI-native building to audit complex business processes and architect them into scalable, measurable workflows. Manages and develops a team while designing vertical-specific platform and service solutions and leading cross-functional, consulting-style projects to scale adoption of AI offerings across data, media, and marketing. • Vertical Solution Design: Shape vertical-specific solutions by translating key business needs into AI workflows using platform functionality, DSAI models, partners, and net-new builds., • Path-to-Solution Evaluation: Assess whether to adapt existing cross-vertical capabilities or design bespoke client or vertical flows to solve client problems., • Cross-Functional Scoping: Drive collaboration with Product, Strategy, Engineering, Data Science, and Delivery to scope, price, and structure proposals., • Storytelling & Demos: Present use cases that map client challenges to platform capabilities, using storytelling and live demos to earn stakeholder buy-in., • Commercial Alignment: Align on commercial models and timelines that meet client expectations while advancing CoreAI program goals., • Roadmap Influence: Bring vertical context into platform roadmaps by translating client and market needs into clear product input., • Feedback Loop Management: Surface common client challenges and friction points from delivery to guide future enhancements and prioritize scalable use cases., • Internal Enablement: Develop and present solution overviews, narratives, and learning materials to enable internal teams and support new business pursuits., • Experience with cloud environments and marketing technology solution design projects., • Creative problem solver with strong intuition and structured thinking., • Strong interpersonal and collaboration skills; highly resourceful team player., • Excellent creative thinker using both data and intuition for decision-making., • Experience working with co-located and virtual teams., • Impeccable time management and strong judgment on high-priority, confidential initiatives., • Extensive experience in marketing and media agencies or adjacent organizations (ad-/mar-tech, consultancies, client-side marketing)., • Proficiency in analyzing workflows and processes and making strategic recommendations aligned with business objectives. Publicis Media offers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You’ll also have access to a range of additional initiatives, including: Please check out Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). Publicis Groupe works primarily from the office or our clients' office four days per week. At Publicis Media, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included. #J-18808-Ljbffr

As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth, • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics, • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors, • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions, • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain, • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs, • Influence product direction by providing structured feedback on customer requirements and competitive gaps, • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role, • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills, • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms, • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations), • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis, • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations, • Track record of driving platform adoption and consumption growth within accounts, • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • Databricks certifications (Data Engineer, ML, Platform), • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against, • Background in a data/AI company or cloud provider, • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Recruiter Screen -> Hiring Manager Screen -> Design and Architecture Interview -> Live Coding Assessment -> Build, Demo, Pitch! Presentation -> Reference Check Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

London (Hybrid - 2 days onsite) Permanent | Start ASAP We’re Making Travel Effortless. Join Us.Travel is essential, whether it’s visiting family, starting a new adventure, or taking a career defining trip. Yet today, over 4 billion airline passengers rely on tech that hasn't changed in decades. At the company, we’re rebuilding the infrastructure underpinning the global travel industry. Backed by top-tier investors (Benchmark, Blossom, Index Ventures, and Kima Ventures) and born out of Y Combinator (S18), we’re simplifying complex systems to build the future of travel. Operations at DuffelDuffel's Operations team keeps travel moving after the booking is made. The team is organised into three functions - Travel Ops, Agency Ops, and Product Ops - each owning a distinct part of the post-booking and back-office lifecycle. Agency Ops sits at the financial and reconciliation heart of the business: the team manages ADM (Agent Debit Memo) investigation and dispute resolution with airlines, day-to-day supplier reconciliation across multiple payment rails and currencies, leakage management, fraud investigation, ARC errors, and United check refunds. It's a small, senior-led team - a Senior Agency Ops Consultant, an Agency Ops Consultant, and a BPO-staffed extension - that keeps the company's supplier accounts accurate and airline disputes resolved on time. We're looking for an Agency Ops Consultant to join our Agency Ops team, reporting to the Senior Agency Ops Consultant. You'll own the day-to-day processing of ADM investigations, supplier reconciliations, and United check refunds across the company's supplier accounts - working across multiple currencies and systems to keep our financial records accurate and airline disputes moving to on-time resolution. This is a detail-oriented, process-driven role at the centre of how the company manages its supplier relationships and financial exposure. Receive, analyse, and process incoming ADMs (Agent Debit Memos) from airlines, tracking each through to on-time resolution. • Perform day-to-day supplier reconciliations across VCC, ARC, BSP, and additional sources, including multi-currency (USD/EUR/GBP/AUD) transactions., • Resolve ARC-specific errors and discrepancies., • Process and reconcile refund requests that are irregular., • Maintain accurate Chargeback/Fraud and reconciliation records and supporting documentation., • Support with onboarding BPO agents and supporting with queries. Experience in reconciliation, accounts, or back-office airline operations. • GDS Experience, • Comfortable working across multiple currencies and supplier systems., • Strong attention to detail and record-keeping., • Confident coordinating directly with airlines and internal stakeholders to move disputes to resolution., • Organised and process-driven, comfortable owning documentation and audit trails for reconciliation work., • Reconciliation across VCC, ARC, BSP, Supplier Accounts, etc, • ADM (Agent Debit Memo) dispute cases from initial receipt through to airline resolution., • Multi-currency transactions across USD, EUR, GBP, and AUD., • ARC-specific error investigation and resolution. We believe in true ownership. That’s why every permanent employee gets equity in the business. Travel Allowance: We literally pay you to get out of town and explore the world. Work From Anywhere: Flexibility is built in. Work remotely, or take advantage of our Sabbatical Policy. Electric Car Scheme: Roll up in a brand-new EV with eco-friendly tax savings. Work-Life Harmony: Flexible bank holidays, generous family leave, and a dedicated volunteering day. Growth Tools: Paid study days to level up your skills, plus a solid pension and cycle-to-work scheme. Health & Wellbeing: Private healthcare, eye test cover, and season ticket loans. Location: Shoreditch, London (Hybrid: In-office Tuesdays & Thursdays). Simple & transparent: (change accordingly to role) • Recruiter Screen, • Hiring Manager Chat, • Technical Case Study, • Final Stage Interview. We are an equal opportunities employer. We believe that the key to our success is employing a diverse team, that's why recruitment decisions are only based on your experience and skills. We value your ability to problem solve and build amazing things so we welcome applications for everyone - regardless of age, sex, disability, sexual orientation, race, religion or belief. #J-18808-Ljbffr

Site Project Manager – (Heat Networks/Utilities) Battersea Competitive Salary + Car Allowance, Bonus, Pension & Healthcare My client is a prominent and forward-thinking energy infrastructure provider in the United Kingdom, specializing in the design, delivery, and long-term operation of large-scale decentralized low-carbon utility networks. The company focuses heavily on urban district heating, cooling, and power solutions, managing critical assets that supply sustainable energy to thousands of residential and commercial properties. Renowned for its engineering excellence and commitment to the green transition, the business integrates cutting-edge technologies like industrial heat pumps and waste-heat recovery systems to drive urban centres toward a zero-carbon future. The Role: The Site Project Manager will provide day-to-day client-side assurance for 3 new heat network delivery programs, challenging contractor performance and coordinating site, stakeholder, commercial and reporting controls across civils and M&E interfaces. • Package delivery and contractor interface, • Act as the day-to-day intelligent client interface for assigned work packages, geographical phases, street works, energy centres or discrete project scopes., • Hold the Principal Contractor to account for programme, quality, safety, coordination and delivery commitments without taking over trade management., • Drive schedule adherence, monitor construction progress and ensure issues are escalated with clear evidence and recommended actions., • Coordinate between contractors, design teams, operations, local authorities and internal stakeholders to maintain delivery momentum., • Undertake regular client-side site inspections and assurance checks across civils, street works, trenching, mechanical and electrical interfaces., • Challenge poor QA/QC, incomplete records, unsafe practices, defects, handover gaps and non-conformance promptly and constructively., • Support the preparation, review and maintenance of Project Construction Information packs and handover documentation., • Ensure works are delivered in line with CDM Regulations, requirements, permits, method statements and agreed quality standards., • Support NEC3/4 or equivalent contract (JCT) administration, including review of Early Warnings, Compensation Events, payment applications and programme updates., • Check contractor claims against site evidence, contract requirements and agreed scope before escalation to the Senior Project Manager., • Maintain accurate risk, issue, action and decision logs for assigned work packages., • Provide accurate, standardised project data into tracking forms, KPI reports, dashboards and governance meetings., • Manage local stakeholder interfaces including local authorities, highways teams, residents, customers and PC site teams., • Support emergency repairs, leak management and operational handover activities where these intersect with project delivery., • Minimum HNC/HND or equivalent experience in mechanical, electrical or civil engineering., • Solid understanding of construction delivery, CDM Regulations, site assurance, QA/QC and heat network or utility interfaces., • Working knowledge of target-cost/fixed-price contracts, NEC3/4 principles, Early Warnings, Compensation Events and payment application review., • 3-6+ years in construction project management, site management, sub-agent, project engineering or project controls roles., • Background in civil engineering, mechanical engineering, utilities, district heating, energy centres, street works or comparable infrastructure., • Experience working with Tier 1/Tier 2 contractors, engineering consultancies or client side infrastructure teams., • SMSTS, NEBOSH or IOSH experience desirable where supported by broader project management capability. #J-18808-Ljbffr

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general‑purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London. We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows. We're looking for a CX Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience. • Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic, • Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month‑based proration on annual terms, • Build and maintain internal CX tooling as real software, not one‑offs: scripts, jobs, dashboards, admin surfaces, • Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes, • Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production, • Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries., • Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail, • Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system, • Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite, • Run the day‑to‑day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions, • Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self‑serve, community on Discord and the forums, GTM and Analytics on routing and reporting, • 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code, • You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS, • Hands‑on experience building and tuning AI or LLM‑powered support workflows: prompt and context engineering, routing, escalation design, evals, • SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it, • Code‑level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here, • Git, PR review, CI, staging and feature flags as your default way of working, • Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like, • Judgment about where a fix belongs, in code, in the agent or in the knowledge base, • A track record carrying signal between support, product and other functions and turning it into action, • Comfort managing your own work in a fast‑moving environment, high ownership and high autonomy, • Genuine interest in AI, creative tools or both The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet. Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. • Universal World Simulator, • GWM‑1, • Gen‑4.5, • General World Models, • Robotics SDK, • Conversational Real‑time Agents, • Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. #J-18808-Ljbffr

Senior Forward Deployed Engineer, Incydr The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small slip-up can become a very public one. We disrupt cybercriminal activity before that happens. We think fast, go big, and always demand more of ourselves. We work hard, deliver, and repeat. We grow with real determination and put success well within reach. We push each other to be better and expect to be pushed back, in a community built on respect, where everyone is counted. Work Protected. Incydr Product Development is looking for a Senior Forward Deployed Engineer to help make sure customers get the full value of Incydr, from initial rollout throughout the entire time they run the product. As Incydr scales globally across more customers and more complex environments, we're investing in a technical role that sits close to the customer: partnering with our proof‑of‑value engineers, Professional Services team, and customer account teams to help accounts reach full operational health quickly and stay there as their needs evolve. It's a chance to shape a new role at the intersection of engineering and customer success. This is a hands‑on, engineering role that also interacts with customers. You'll be embedded in Incydr Engineering and brought in directly by the teams closest to an account to work on something specific: a technical health check, custom integration work, digging deep into customer problems to find and resolve issues quickly, and even fine‑tuning after deployment to make Incydr fit well inside a customer's environment. You'll be part of the engineering team with access to source code, advanced logging, and telemetry to solve problems directly or partner with other SMEs in engineering as needed. Expect some travel to customer sites, though most engagement happens remotely; day to day, you'll follow the hybrid working model for your local Mimecast office. Mimecast is an AI-First engineering organization. Our teams actively leverage AI‑powered development tools to accelerate innovation, improve code quality, and solve complex cybersecurity challenges at scale. We're looking for engineering leaders who embrace these technologies or are eager to master them quickly. Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as “Agents of Change” in Human Risk Management. Engineers here work at the intersection of cutting‑edge AI tooling and AI‑powered security products that protect organizations worldwide. Partner with customer‑facing teams, customers, and fellow engineers to quickly diagnose and resolve technical pain points, from deployment hiccups to performance tuning, so customers get the most out of Incydr. Take full ownership of each engagement, from first diagnosis to resolution, working directly with customers along the way, while account teams continue to own the broader relationship. Get full access to the Incydr codebase and deployment tooling, so you can dig into how something actually works yourself and ship a fix through our normal review process when you're the right person to do it. Build and troubleshoot custom scripts and integrations tailored to each customer's environment, using AI tools to move fast rather than reaching for a one‑size‑fits‑all script library. Partner with Incydr Engineering on issues that need deeper product involvement, arriving with enough detail, like repro steps and a root‑cause hypothesis, that they can act on it immediately. Spot early signals, like an account building up untriaged alert volume, and flag them proactively so customer‑facing teams can get ahead of a problem before it grows. Coach and enable a customer's own team, through training, documentation, and hands‑on pairing, so they can confidently run and maintain Incydr themselves. Bring what you learn back to the rest of product and engineering, so patterns you spot across customers directly shape the roadmap instead of being solved once and forgotten. • 5+ years building software, including practical experience troubleshooting or supporting that software directly with customers or in live production environments., • Enough depth across a broad codebase to work independently: comfortable reading and navigating code you didn't write, diagnosing an issue, and contributing a fix through normal review when needed, without waiting on someone else to do the digging., • Practical scripting and integration experience: building narrow, purpose‑built solutions to a specific technical problem quickly, including using AI coding tools to move faster than writing everything by hand., • Genuine comfort owning a technical conversation directly with a customer: running a working session on a live issue, walking a customer through troubleshooting together over a video call., • This is a role that will directly interact with customers and with a variety of internal stakeholders., • Comfort troubleshooting with incomplete information: you're the person who figures out why something is broken in someone else's environment, even when the information is incomplete and a customer's waiting on an answer., • Strong written and verbal communication: translating a technical root cause into something a non‑engineer can act on, and a customer's vague description of a problem into something engineering can act on., • Comfort working daily with AI coding assistants and agents, and interest in building the kind of lightweight AI‑driven tools and playbooks that let customers and internal teams solve problems themselves., • Experience with endpoint agent technology, device management (MDM), or the operational realities of deploying software across large, varied fleets., • Experience with identity/directory sync (for example, SCIM) or enterprise single sign‑on integrations., • Experience building internal tools, playbooks, or automations that non‑engineering teams can run themselves., • Background in a customer‑facing technical role: professional services, solutions engineering, technical account management, support or similar., • Exposure to data security, data loss prevention, or insider risk concepts. The base salary range for this position is £80,000−£120,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Aff… We’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We save companies the embarrassment of awkward data slip ups by disrupting cybercriminal activity. We think fast, go big and always demand more. We work hard, deliver – and repeat. We grow with meaningful determination. And put success well within our reach. We empower each other, live by our values, and always deliver on our purpose. We push each other to be better and expect to be pushed back. This is a community of respect. Where everyone is counted. #J-18808-Ljbffr

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: • SonarQube: The world's leading AI code review and verification platform., • SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair., • SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: • Committed to our customers and community., • Obsessed with quality., • Deliberate in our decisions., • Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Sonar is looking for a CVP of Design to own the end-to-end design vision and execution across our product portfolio. Reporting to the CPO, this is Sonar's most senior design leadership role, responsible for setting design strategy, scaling a high-performing global design organization, and ensuring our products deliver an exceptional, cohesive experience for developers and enterprise customers alike. You will partner closely with Product, Engineering, and Executive Leadership to translate customer needs and market trends into design decisions that drive measurable business impact. • Own the end-to-end product design vision, including visual design, interaction design, workflows, and overall platform evolution across Sonar's product line., • Define and drive a design strategy that ties directly to measurable business outcomes, working with Product and Engineering leadership to prioritize investments. Track and report on design's impact on key business and product metrics., • Build, scale, and lead a global design organization, including hiring, mentoring, and developing design talent to foster a high-performing, creative, and inclusive team culture., • Champion and evolve Sonar's design systems and UX best practices, ensuring consistency and quality across a complex, technical, developer-facing product suite., • Guide the design approach for agentic and AI-driven features, ensuring the team understands emerging patterns and best practices in this space., • Engage directly with customers, users, and industry leaders to gather insights, and translate those insights into actionable, high-impact design solutions., • Represent design at the executive level, communicating strategy, trade-offs, and progress to executive leadership and cross-functional, global stakeholders., • Partner with Product Management and Engineering to ensure design is embedded early in the product development process, not bolted on at the end., • 7+ years of management experience in product design, UX, or a related field, with a proven track record of leading and scaling teams globally., • Demonstrated success in end-to-end product design leadership, including visual design, interaction design, workflows, strategic product thinking, and platform evolution., • Deep expertise in design systems and UX best practices, including experience designing for developer tools, API based tools, or similar technical/complex products., • Good understanding of the agentic domain and how it shapes product and design decisions., • Experience defining design strategy that drives measurable business outcomes., • Exceptional collaboration and communication skills, with the ability to work effectively across executive leadership, cross-functional teams, and global stakeholders., • Proven ability to mentor and develop design talent, fostering a high-performing, creative, and inclusive global design culture., • Deep understanding of customer needs and market trends, with experience engaging directly with users and industry leaders to translate insights into actionable, high-impact design solutions. This role is based in London. We are unable to consider candidates unwilling to be in London, but we are willing to relocate the right candidate. At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at [email protected] . All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr