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Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Our studios are considered one of the foremost motion picture and television production and post-production facilities in the world. They inform, engage, and transport audiences to new worlds. The key to that lies with our Studio Operations group, which includes areas like soundstage/backlot set rentals, events, design, culinary, construction, landscaping and much more. Whether it’s hosting an unforgettable studio tour, creating an optimal workspace, or equipping talent to tell the best stories, these teams lay the foundation for the memorable experiences we provide. Your New Role... We're looking for a technically minded problem-solver to join our Engineering team, providing hands-on support across our iconic Soho Square and brand new Greek Street locations. If you're passionate about technology and enjoy tackling everything from system troubleshooting to major installations, this is your chance to play a key role in delivering exceptional experiences for our clients and creative teams. From cinema screenings and cutting rooms to cutting-edge picture and sound environments, our Soho facilities are where world-class post-production comes to life! Your Role Accountabilities... • Assist with engineering support, system configuration and technical changes within screening, picture and sound departments., • Maintain, update and troubleshoot production hardware and software to ensure reliable operation., • Uphold the highest technical, operational and security standards throughout the facility., • Support the calibration of broadcast monitors, cinema projectors and audio systems., • Deliver installation, configuration and technical assistance for cutting rooms and client systems., • Provide technical support for staff, clients and production sessions., • Work closely with operational and management teams to ensure the seamless delivery of services and minimise disruption., • Provide cover in operating the screening theatres when the projectionist is not available., • Be part of the team of Fire Wardens to assist in ensuring the safety of all personnel on site. Qualifications & Experiences... • Operational support experience with Linux-based FilmLight Baselight and Autodesk Flame systems., • Strong understanding of digital cinema equipment, industry standards and post-production workflows., • Demonstrable expertise in picture monitor and projector technologies, including calibration., • Ability to perform audio monitor line-ups for mix stage environments., • Solid IT skills covering workstation assembly, configuration, troubleshooting and networking., • Proven experience supporting shared media storage platforms, including Avid Nexis, DDP, StorNext and GPFS., • Experience working effectively within a fast-paced post-production environment., • Good working knowledge of Linux, macOS and computer networking principles., • Familiarity with video and audio standards, together with supporting broadcast and post-production infrastructure., • Good understanding of current MPAA security standards and best practices. #SO #DLL Onsite Working - This role is advertised as Onsite, meaning all working hours and days (regardless of shift pattern) will be carried out at the place of work. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement, where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at _ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our _ for instructions to submit your request.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports—giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you’ll do: You’ll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation, real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution—not just single models—while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low latency, highly reliable cloud based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Nice to have Understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan – we immerse ourselves in Sport so having a passion for sport and a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next. But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we’ll back you all the way. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

The Opportunity: As the Network Engineer, you will be a part of a team of network experts, managing the network delivery to completion and ensure hand-off to necessary support teams. You will administer aspects of large-scale projects and engineers, tests, documents, and deploys network infrastructure solutions. You will manage technical aspects of assigned projects, including planning and resolving issues. You will work independently to provide technical solutions to solve complex challenges for both IT-facing and business-facing customers. You will also ensure the successful implementation of technology projects by working with Solutions Architecture, Operations, information security, and other departments. You will report to the AVP of Network Infrastructure. The Day-to-Day: • Partner with Engineering to help implement proposed solutions for networking, • Provide and help to maintain documentation given to operations team to populate within confluence site, • Manage the Infrastructure environment with service oriented approach and efficient delivery to meet the customer needs, requirements and their service expectations, • Work with engineering to gauge the effectiveness of existing infrastructure systems; develop strategies for improving or further using these systems, • Manage the efficient daily operations and maintenance of the IT services with best practices, automation and orchestration capabilities and ensure effectiveness of the service, • Take end-to-end ownership to prevent and solve network issues, anticipate and avoid problems and in taking actions and optimizations, • Identify the areas for improvements and lead the effort in standardising processes, streamlining and making processes simple, • Provide technical escalation point for production support during normal business and off-hours Your Qualifications: • 2+ years' experience in Network Engineering, • Experience analysing new products and making recommendations for implementation, • Experience in data centre relocations, • Azure fundamentals (AZ900) and AZ700 Azure networking fluency, • Practical experience using Terraform to manage at scale, • Knowledge of Cisco routing and switching technologies, • Experience with WAN, Campus, Data Centre, Wireless, and networks at an enterprise scale, • Experience with Cisco SD-WAN technologies Viptela and Meraki, • Experience with firewalls and VPN devices, • Solid knowledge of infrastructure systems including compute, OS, hypervisor, network, storage, database and security, • Experience with load balancers Why Fisher Investments Europe: The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients’ best interests by using a simple and transparent fee structure and recognised European custodians. It’s the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including: • 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents, • 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays, • Enhanced maternity pay package with 16 weeks’ top up to full base pay for eligible employees, • $10,000* fertility, hormonal health and family-forming benefit, • A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions, • Gym subsidy of up to £50 per month, • Employee Assistance Program and other emotional wellbeing services, • A collaborative working environment that practises ongoing training, educational support and employee appreciation events, • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. *Employees residing outside of the US will be eligible for the $10,000 equivalent in their local currency. FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER

Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions.We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment.As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change.Job Responsibilities:Design and deliver enterprise-grade machine learning systemsCollaborate with cloud and SRE teams to build robust production architecturesTranslate scientific research into scalable ML solutionsDevelop and deploy business-critical, data-intensive applicationsImplement distributed, multi-threaded, and scalable applicationsBuild, test, and deploy automated pipelines for ML solutionsLeverage foundational libraries and services for re-use across teamsApply best practices in software engineering and computer scienceUtilize MLOps tools for versioning, reproducibility, and observabilityAlign ML problem definitions with business objectivesMentor and support team members, with optional management responsibilitiesRequired Qualifications, Capabilities, and Skills:Experience in machine learning engineering rolesDegree in a quantitative discipline (Computer Science, Mathematics, Statistics)Proven ability to develop and deploy business-critical, data-intensive applicationsExtensive experience with AWS and KubernetesProficiency with lower-level libraries such as PyTorch and NumPyHands-on experience implementing distributed, multi-threaded, and scalable applicationsExperience with automated building, testing, and deployment pipelinesFamiliarity with higher-level interfaces like Pydantic AI and LangraphStrong understanding of computer science fundamentals and development best practicesBroad knowledge of MLOps tooling for versioning, reproducibility, and observabilityAbility to understand business objectives and align ML problem definitionsPreferred Qualifications, Capabilities, and Skills:Experience mentoring or leading teamsKnowledge of agentic AI conceptsExperience designing reusable libraries and servicesInterest in bridging scientific theory and enterprise-grade systemsPassion for innovation and continuous learningWhy Join Us? You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-05-18

Role overview \n The Hardware Engineer is responsible for supporting the development, integration and lifecycle management of hardware systems across the service. The role focuses on requirements analysis, technical documentation, hardware design activities, component selection and compliance assurance. Working closely with engineering, production, quality and project teams, the Hardware Engineer ensu... \n \n \n \n \n \n \n ZIPC1_UKTJ

Paris / LondonTech – Engineering /Full Time /HybridJoin Pigment: Transforming Business Planning and Performance with AI Founded in 2019, Pigment stands out as one of the fastest-growing SaaS companies globally, redefining business planning and performance with our AI-powered platform. We empower organizations across diverse industries, including Consumer Packaged Goods, Retail, and Technology, to seamlessly integrate data, people, and processes, enabling them to plan and adapt rapidly. With a vibrant team of over 500 professionals across North America and Europe, and offices in Paris, London, New York, Toronto, San Francisco and Austin, Pigment has successfully secured nearly $400 million in funding from leading global venture capitalists. Our recognition as a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software underscores our commitment to excellence, as we proudly partner with industry leaders like Unilever, Vinci, Kayak, Siemens, and Coca-Cola. At Pigment, we champion smart risks, celebrate bold ideas, and challenge the status quo—all as a united team. Every team member has the opportunity to make a significant impact and tackle ambitious challenges. Together, we pursue excellence with a collaborative spirit, continuously raising the bar to ensure strong performance and a proactive approach while fostering an environment of humility. If you are passionate about innovation and wish to collaborate with some of the brightest minds in the industry, we would love to hear from you!The OpportunityWe’re looking for an Engineering Manager Lead (EML) to own delivery and people leadership at the community () level.An EML is the go-to person for a community’s delivery: ensuring teams ship the right things, at the right time, with a clear escalation path when priorities, technical constraints, or execution realities don’t converge.The EML also manages and develops Engineering Managers (EMs) and Technical Leads (TLs) and partners closely with Community Tech Leads (CTLs), Product Management Leads (PMLs), Product Managers (PMs), and Engineering Program Managers (EPMs).This role reflects our accountability model: delivery accountability and people leadership are held together, with a clear interface to product and technical leadership.() A community is a group of teams with a common functional/technical purpose.The Foresight CommunityForesight is the community responsible for Pigment’s forward-looking product surface: helping customers model scenarios, understand what’s coming, and make better decisions under uncertainty.It typically spans multiple teams working on forecasting and what-if workflows, planning experiences, and the underlying capabilities needed to make those experiences fast, reliable, and explainable.What you’ll do1) Own community delivery (accountability + operating cadence)Be accountable to engineering leadership for delivery across multiple teams in the communityEnsure teams have clear priorities, sequencing, and commitments (scope/timeline/people), aligned with product priorities and technical constraints.Identify risks early (delivery delays, quality/production issues, team focus/inefficiencies, people performance) and drive resolution with TLs/EMs/partners.Maintain a written, legible status of the community’s key achievements, risks, and action plans.Lead key reporting moments (e.g., mid-quarter updates, community-level delivery reviews).2) Lead people and org effectiveness through EMs and TLsManage Engineering Managers and Technical Leads with clear expectations and regular coaching.Set standards for feedback, performance, calibration inputs, growth plans, and under-performance remediation when needed.Improve the system: structures, processes, rituals, and staffing approaches that increase execution speed and reduce friction.3) Drive staffing and community-level arbitrationPartner with CTLs and product leadership on staffing needs and constraints; drive the process to turn inputs into a committed plan.Resolve cross-team dependencies and trade-offs; ensure there is always a clear owner for escalation when alignment stalls.Represent the community in leadership forums; ensure decisions are translated into actionable plans.4) Partner with Product & Technical leadership with clear interfacesWork as a trio with PML and CTL:PML: business outcomes and product prioritiesCTL: technical approach and quality/safety barEML: committed plan & delivery landing, including escalation when neededCollaborate with EPMs (when staffed) to improve coordination and execution, while keeping accountability clear.What you will not be expected to doYou are not expected to own a single technical domain as “the expert.” Pigment separates technical decision ownership (TL/CTL) from people and delivery accountability (EML) to keep both healthy.You are not expected to be contribute as an engineer. (You may still code opportunistically, but it should not be required for delivery.)Who you areSignificant experience as an engineer in a progressive engineering environment: building and shipping software in production environments (you can evaluate plans and risks with credibility).Demonstrated experience leading engineering managers and/or senior IC leaders (e.g., EMs, TLs), including performance management and growth.Strong delivery leadership: you bring clarity, pace, and follow-through without creating noise or process theatre.Excellent judgment in trade-offs (scope/timing/quality/staffing), and comfort escalating when alignment can’t be reached quickly.Low-ego, high-standards leadership style; you build accountability and trust.Fluent in English (French not required).#LI-HYBRID#LI-LS1We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully, with candidate consent, and information will be treated confidentially.Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.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.

At R3, we are building the on-ramp for the next trillion dollars of assets to move on-chain, bridging the worlds of traditional finance (TradFi) and decentralized finance (DeFi). We are launching institutional-grade RWA yield vaults, fully composable and integrated into Solana DeFi.Our Corda Protocol is an institutional tokenized Real World Asset platform built on Solana. KYC'd investors deposit stablecoins into RWA vaults in exchange for vault tokens, and redeem the oracle-priced vault tokens back into stablecoins, with curators buying and selling the corresponding assets out in the Real World to settle those on-chain token transactions.The RoleWe're looking for a Senior Full Stack Engineer to build and ship production RWA trading and lending infrastructure on Solana. You'll work across the stack, from on-chain programs to the front ends investors, traders and integrators use. You'll be working on systems that move real capital: liquidity venues, lending markets, and market-making infrastructure. This is a hands-on role for someone who has a genuine interest in bringing regulated finance on-chain and has already shipped DeFi protocols on Solana and understands the operational realities of running them under load.As an early team member, you will play a crucial role in shaping the Corda Protocol. You should care as much about security, compliance, and auditability as you do about shipping quickly.Responsibilities• Influence the design and development of the Corda Protocol RWA yield marketplace to scale it to multichain & multi-curator future• Design and build Solana programs (Rust/Anchor) for vaults, order books, AMMs, lending markets, or related liquidity infrastructure.• Build the full stack around these programs: indexers, keepers/crankers, APIs, and the React/TypeScript front ends that expose them to users and integrators.• Work directly on market-making and liquidity systems and the plumbing that keeps venues liquid and solvent.• Participate in code review, threat modelling, and internal/external audits of new and existing programs.• Design, implement, and optimize SDKs that will power our integration with centralized partners (exchanges, wallets, neobanks).Required Skills/Experience• Prior experience at a crypto-native or web3 engineering team is a must; you will have worked at a lending protocol, yield marketplace, vaults infra or any similar marketplace that connected onchain allocators to the curated vaults.• Minimum of 6 years in software development and 3 years of experience in Rust with meaningful production time on Solana.• Proven experience shipping and deploying Solana programs in Rust (Anchor or native), ideally in one or more of: order book or AMM-style liquidity venues, lending/borrowing protocols, or market-making systems.• Full stack range: comfortable owning on-chain program logic and the off-chain services and front end (TypeScript/React, Node) that surround it.• Solid understanding of Solana's account model, PDAs, CPI, transaction/compute limits, and the tradeoffs involved in high-throughput on-chain systems.Nice to Haves• Experience owning architecture & delivery.• MPC wallets/custody, Squads, on-chain monitoring, AML screening.• Familiarity with Kubernetes concepts & Kubernetes networking, Terraform, PostgreSQL.• PKI and other cryptographic knowledge.• Experience supporting systems in production and investigating & diagnosing issues for internal or external customers.• Experience of Linux, shell scripting or other scripting languages, Linux command line tools, TCP/IP networking.• Java / Kotlin.

Workday EngineerWe are searching for an experienced Workday EngineerPurposeAs a senior and experienced Workday Build, Extend, Prism Engineer you will own the design, governance, delivery of enterprise-grade Workday solutions across the platform.Working with the product development, functional experts, change and architecture teams you will develop client centric, scalable and secure solutions, ensuring on-time delivery in a demanding and deadline driven environment, whilst embedding robust governance, security and change management practices that de-risk the business.The role operates in the intesection between technology, architecture, and operations and you will act as a trusted advisor & inflencer to senior stakeholders, functional teams and other subject matter experts as part of their decision making.Mentoring and developing the skills of the internal Workday team and pushing the boundaries of the platform capabilities.ResponsibilitiesEnd to end design and delivery of workday solutions across Build, Extend, Prism, and associated Orchestrations Translate complex business requirements into secure, scaleable, client centric solutions - provide clearly articulated solution options. trade-offs and risks.Embed RSMs SDLC governance framework and stablish consistent data models, UI, workflows, AI development, and integration methodologies. Ensure all solutions adhere to the enterprise change management and release framework.Apply security architecture with product and solution design (domains, roles, access models and segregration of duties). Ensuring that soltions are designed with a security-first principles with appropriate auditing and gateway protections.Operate effiectively within a fast paced, deadline drive delivery model, managing competing priorities and stakeholder expectations.Drive speed to value whilst maintaining quality and control disciplineLead complex initiatives including multi-source, orchestration and advance platform capabilities. QualificationsMust-Have2+ years hands-on Workday development (or 4+ years Workday ecosystem)5+ years of software development experience including Web apps. Strong grasp of Workday data model, security, business processes, custom objects/orgs, calculated fields, and reports/RaaS.Demonstrated delivery of production apps (portfolio or walkthroughs at interview).Proficiency with REST APIs and Workday Integration patterns (EIB, Studio, Core Connectors).Solid understanding of SDLC, peer reviews, and test strategies.Experience training or mentoring developers/analysts; ability to produce clear enablement assets.Excellent communication, stakeholder management, and documentation skills.Nice-to-HaveWhole platform domain exposure including FIN/HCM/Payroll/Security —e.g., approvals, exceptions, vendor onboarding, expense governance, journals, controls, agentic AI and machine learning, lifecycle.Experience in AI product development. Familiarity with Workday BIRT, Workday Reporting (advanced), Time Tracking.Scripting experience (e.g., JavaScript/TypeScript, Python) for tooling and documentation automation.Knowledge of privacy & compliance (GDPR, SOX, ISO27001) and secure coding practices.Education & CertificationsComputer Science, Information Systems, Engineering or equivalent experience.Workday certifications (HCM/FINS/Integrations/Reporting/Extend/Build/Prism) strongly preferred.Accounting qualification or relevant experience.#LI-AE1Experienced hirePermanentLONDONOther Business Support Services

Job OverviewAn Digital Assets Platform Senior Blockchain Engineer must be a highly motivated and proactive hands-on software engineer (Back End, Java Focus), have a proven ability and experience working with web applications in production. As a member of the Citi Integrated Digital Assets Platform e

Help Build the Next Generation of AI Silicon I'm currently working with an exciting, well-funded semiconductor company developing next-generation AI hardware designed to overcome one of the biggest challenges facing modern computing. As AI workloads continue to increase in complexity, the demand for faster, more efficient silicon has never been greater. This team is developing a cutting-edge AI accelerator architecture that will help redefine the future of high-performance computing. They're now looking for a DFT Engineer to join the team implementing Design-for-Test for a large, multi-core AI accelerator ASIC. You'll play a key role in delivering a scalable, production-ready DFT solution, working across scan implementation, ATPG, memory test and silicon bring-up. This is an excellent opportunity to develop your expertise while working alongside experienced engineers across architecture, RTL, physical design and product engineering. Responsibilities Contribute to the DFT architecture of a complex multi-core AI accelerator SoC Integrate DFT methodologies and tools into the overall ASIC design flow Implement scan insertion, scan compression and associated test logic Generate, analyse and debug ATPG patterns for structural fault coverage Support MBIST implementation for large embedded memory arrays Work closely with Physical Design teams to ensure robust scan chain implementation and timing closure Develop scripting and automation to improve DFT efficiency and workflows Support silicon bring-up, manufacturing test and post-silicon debug Collaborate with Product and Test Engineering teams to support ATE bring-up, production test and yield improvement What they're looking for Degree in Electronic Engineering, Computer Engineering or a related discipline Experience in DFT, digital IC design or ASIC development Good understanding of: Scan architecture ATPG MBIST Digital test methodologies Familiarity with industry-standard EDA tools Scripting experience using Python, Tcl or similar languages You'll enjoy solving technical challenges, working collaboratively across engineering disciplines and developing your expertise on complex, leading-edge silicon. You're naturally detail-oriented, enjoy working on large-scale ASICs and are keen to grow your knowledge of Design-for-Test within a high-performing engineering team. Why Join? Work on genuinely innovative AI silicon with real-world impact Be part of a highly collaborative engineering culture Gain exposure across the full ASIC development lifecycle, from architecture through to silicon bring-up Work alongside experienced experts across hardware, software and systems engineering Take ownership of meaningful technical challenges while continuing to develop your career If you'd like to hear more, I'd be happy to share further details in confidence. For more information, contact Rachel at IC Resources

Main PurposeTrafigura is undergoing an exciting Digital Transformation, developing innovative AI technologies to change the way we work in Commodities Trading. The Document AI team is a key pillar of this initiative, unlocking data-rich proprietary documents to enable high-value process optimisation and data science use cases.We are seeking a Senior Product Engineer to work closely with our AI team to build the applications and systems that bring AI capabilities to our trading operations. You will be building robust AI/LLM applications that directly impacts trading operations.This is a hands-on Individual Contributor role.Required Qualifications5-8+ years of experience building production backend systems and APIsFunctional frontend skills - comfortable with React, TypeScript, and building user interfaces when neededExpert-level modern Python proficiency with deep knowledge of the ecosystem (Pydantic, FastAPI, asyncio, type hints)Strong experience with REST APIs, microservices architecture, and database design (SQL, NoSQL)Experience with modern AI frameworks (we currently favour Pydantic AI) and LLM integrationProduction experience with monitoring, observability, and system reliabilityStrong fundamentals in software testing, evaluation frameworks, and quality assuranceIn-depth understanding of modern software design principles (microservices, event-driven architectures, domain driven design, object oriented programming, test driven development)In-depth understanding of modern software development lifecycle (CI/CD, IaC, Containerisation)Practical experience with cloud engineering (preference for AWS)Preferred QualificationsPrior experience in Commodities, Fixed Income, Equities, Asset Management is a plusKey ResponsibilitiesDevelop and maintain Python-based backend services and APIsBuild document processing pipelines using LLMs and traditional ML techniquesBuild functional frontend interfaces and integrate them with backend systemsDebug performance issues, handle edge cases, and optimize system reliabilityWrite comprehensive tests and implement monitoring for backend systemsRapidly prototype new features, evaluate them, and implement to productionParticipate in code reviews, technical design discussions, and architecture decisionsCommunicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production codeExample projects you might own in the first 6 months include:Define and build agent-user interactions to integrate AI agents into applications that our 5,000+ employees use every dayExtend our in-house intelligent document management system with additional AI-powered features with intuitive human-centred UXIntegrate our firmwide AI Assistant with internal data sources using MCPAttributes for successEngineering mindset focused on delivering practical solutions that solve real business problemsSelf-directed and comfortable working autonomously with minimal supervisionPragmatic approach to technology choices - you pick the right tool for the job rather than chasing trendsDeep appreciation for SRE principles and mindset for scaling with a small and lean teamIntellectually curious and desire to work in Applied AIStrong desire to help people solve problemsKey RelationshipsYou will work closely with the Digital Transformation Team to understand business requirements and rollout production-grade applications to solve them.You will support the Data Science & Engineering teams as a primary user segment, providing ad-hoc support and understanding user problems.Department OverviewThe Digital Transformation Team is a joint venture between Trading Technology and the Data Science and Engineering Team, driving Trafigura's AI-powered evolution in commodities trading. As a Centre of Excellence for Agentic AI, we develop scalable applications that impact over 5,000 employees daily, supporting both immediate business needs and broader data science initiatives across Trafigura's global operationsReporting StructureYou will report directly to the Document AI Lead.Equal Opportunity EmployerWe are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.Please make sure that you submit your CV in English.SummaryLocation: London, United KingdomType: Full time

DescriptionAbout Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery.We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact.Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors.Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact.About You:You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are seeking an experienced Senior Java Engineer to join our engineering team and play a key role in designing, developing, and maintaining scalable, high-performance applications. The ideal candidate will have strong expertise in Java-based enterprise systems, cloud-native development, and modern software engineering practices. Experience with Artificial Intelligence (AI) technologies and AI-enabled applications is highly desirable.RequirementsKey Responsibilities:Design, develop, test, and maintain enterprise-grade Java applications.Assist with technical design discussions and contribute to architectural decisions.Develop scalable microservices and RESTful APIs.Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders.Review code, mentor engineers, and promote engineering best practices.Optimise application performance, reliability, and security.Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.Troubleshoot production issues and implement sustainable solutions.Contribute to CI/CD pipelines and cloud deployment strategies.Evaluate and adopt emerging technologies that improve product capabilities and development efficiency.Key Skills/Experience:You need to be technically sound but also be able to convey your knowledge and expertise to clients internally and externally. In terms of specific languages you should have commercial experience in some or all of the following; Strong proficiency in Java (Java 12+ preferred).Experience with Spring Boot, Spring Framework, and microservices architecture.Strong understanding of REST APIs, distributed systems, and event-driven architectures.Experience with relational databases such as PostgreSQL, MySQL, or Oracle.Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.Familiarity with containerisation technologies including Docker and Kubernetes.Experience with CI/CD tools and automated testing frameworks.Strong knowledge of software design patterns, data structures, and system design principles.Desirable SkillsExperience building or integrating AI-powered applications and services.Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows.Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies.Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture.Experience with Python for AI/ML-related development.Exposure to MLOps practices and AI model deployment pipelines.Contributions to open-source projects or technical communities.BenefitsCompetitive SalaryBonus SchemePrivate Healthcare Insurance25 Days Annual Leave + Bank HolidaysUp to 10 days allocated for development training per yearEnhanced Parental LeavePaid Fertility Leave (5 Days)Statutory & Contributory PensionEAP with Help@HandGym Membership BenefitsCycle to Work and Electric Vehicle schemesFlexible WorkingAnnual Away Days/Company SocialsDiversity and InclusionAs an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs.Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive.Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us.As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.Job SummaryID: E9AA4DA923Department: Software EngineeringType: full time

The role You will collaborate with peers across Xero to create and deliver software to our customers. By modelling engineering excellence, you will support your team to grow their technical capability, improve development practices, and tackle open-ended architectural challenges.Your work will directly shape the technical direction of the product group, breaking down silos and driving multi-year product or platform goals. Through data-driven decisions and smart simplification of complex systems, you will help solve customer problems effectively and release value early.The team This cross-functional engineering team focuses on building and managing software that solves complex problems at scale. Working in a collaborative and safe environment, team members coordinate closely to align technical designs with broader architectural standards. Together, they foster a culture of ownership, experimentation, and feedback to deliver high-quality outcomes.The team is currently working onThe Syft UK pod is working on high-impact reporting and insights engineering across Xero. Current work includes Budgets API and Reporting integration, the Benchmarking rebuild, and resilience improvements to the Syft-X API as demand grows from both customer-facing experiences and internal consumers.As a Lead Engineer, you’ll be a hands-on technical leader: setting direction, supporting engineers to deliver well, and improving how the team works across design, delivery, deployment and support. You’ll help us build smaller, safer changes, strengthen operational visibility, and reduce dependency on a small number of people for critical knowledge and production workWhere and how you can workThis role offers a remote working environment designed to support collaboration and balance. If you prefer you can work hybrid from one of our modern office spaces, designated in-office boost days to connect with other teams in person. Here are some of the things we are looking forYou bring expertise in designing secure, scalable distributed systems and managing software at scale with proficiency in our core tech stack, Node js, AWS.A background in coaching and mentoring engineers, helping them grow their technical capabilities, is essential.You possess strong communication skills, with the ability to navigate complex technical ideas and build alignment.Your growth mindset drives a passion for continuous learning, experimentation, and sharing technical knowledge.An ability to lead incident responses, resolve failure patterns, and guide quality testing strategies will be highly valued.You offer a collaborative approach to problem-solving, welcoming diverse perspectives and encouraging a healthy team culture.Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.LocationUK: London (7 Devonshire Square); UK: Remote WorkerEmployment TypeFull timeLocation TypeHybridDepartmentEngineering

LondonProduct & Engineering – Product /Full Time Employee /HybridAevi is the independent in-person payment orchestration platform: one product, one platform, working across hardware, acquirers, and processors anywhere in the world. We are building a Product & Solutions function to turn that platform capability into scalable revenue, and we need someone to own the integration engine that makes it possible.As Director, Partner Integrations, you will own the end-to-end process by which ISVs, POS providers, and enterprise partners integrate with Aevi across UK and EU markets. That means building the structure, standards, and documentation that let us scale our integration base without scaling our headcount, and it means being the honest, technically credible voice in the room when a commercial conversation needs grounding in reality.This is not a support role. It sits at the intersection of commercial, product, and engineering, and it requires someone who is as comfortable scoping a partner integration on a customer call as they are raising a product gap ticket with an engineering team.What you will doOwn the end-to-end partner integration lifecycle (including customers, Acquirers and processors), from initial qualification and scoping through delivery to production handoverDefine and enforce integration standards that create a consistent, high-quality experience for every partner we onboardWork alongside pre-sales to qualify integration requests before commitments are made, and scope technical requirements in enough depth to make honest, documented delivery assessmentsIdentify the difference between a product gap and a partner integration issue, and route each one appropriatelyBuild and maintain integration documentation, welcome pack templates, and Hello World reference environments that let partners hit the ground runningCreate a feedback loop between support, documentation, and product so that recurring integration issues drive improvements rather than just ticketsWork directly with engineering, pre-sales, and product to make sure integration standards and delivery commitments stay grounded in what the platform can actually doWhat we are looking forEssentialSenior-level background in a payments integration, systems integration, or partner solutions role, with real card present payment experiencePractical API and integration knowledge: able to read and interrogate specs, reproduce issues, and diagnose where in a stack a problem livesProven track record of owning and improving integration processes or partner onboarding frameworksComfortable on both sides of the commercial and engineering boundary: not purely an engineer, not purely a commercial personClear, accurate written communication that produces external-quality documentation without editorial supportDesirableExperience in the fuel, convenience, or retail POS verticalExposure to card-not-present flows, processor connectivity, or payment scheme certificationExperience building or growing an integration team in a scaling business

Why Keyrus, Why Now!Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.Role DetailsJob location: London – UK (Hybrid, flexible)Contract type: Employee or Inside IR35ðTarget start date: August 2026Working hours: Full-time (40h/ week)Compensation:58k – 87k (Senior Level) or 83k – 108k (Principal Level)What You'll ArchitectAs an AI Solutions Architect, you will help organisations transform complexity into measurable outcomes by combining artificial intelligence, data, semantic technologies, and human decision-making.This role is both technical and consultative — ideal for someone who can combine hands-on engineering, AI solution design, and direct stakeholder engagement. Working closely with analysts, researchers, engineers, and business leaders, you will design and deliver AI-powered solutions that transform how organisations discover, understand, and interact with data.Operating in a manner similar to a Forward Deployed Engineer (FDE), you will own initiatives from problem discovery through implementation, deployment, and optimisation, translating complex business challenges into scalable, production-ready solutions.Key ResponsibilitiesLead the design and implementation of AI-powered solutions across enterprise data and analytics environments.Partner directly with business stakeholders to understand challenges and convert requirements into practical, scalable technical solutions.Build and deploy production-grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations.Develop intelligent document processing solutions focused on financial filings, regulatory content, and structured financial data.Design and enhance semantic search, retrieval, and data discovery capabilities that improve access to enterprise knowledge.Build natural language interfaces that enable non-technical users to interact effectively with complex datasets.Contribute to metadata modelling, governance frameworks, and AI enablement initiatives.Own the full solution lifecycle from discovery, design, and development through deployment, optimisation, and continuous improvement.Act as a trusted technical partner for both business and technical stakeholders, driving outcomes with a high degree of autonomy.Who You AreYou are naturally curious and passionate about applying AI to solve real-world business problems.You enjoy working at the intersection of technology, data, and business strategy, translating complex challenges into practical solutions.You are comfortable operating with a high degree of autonomy, ownership, and accountability.You thrive in environments where requirements are evolving and ambiguity is common, using structured thinking to create clarity and direction.You enjoy partnering directly with stakeholders to understand problems deeply before designing solutions.You balance innovation and experimentation with a strong focus on production readiness, reliability, and business value.You are equally comfortable discussing technical architectures with engineers and explaining outcomes to non-technical audiences.You continuously learn and stay current with developments across Generative AI, Agentic AI, retrieval systems, and enterprise data platforms.ð ️ What You BringQualifications & ExperienceRelevant academic background or equivalent professional experience.Proven experience delivering AI, Data, or Software Engineering solutions in production environments.Experience working directly with business stakeholders to identify requirements and shape technical solutions.Demonstrated ability to independently drive initiatives from concept through implementation.Experience working with financial data, regulatory datasets, or enterprise information environments.Professional proficiency in English.Willingness to travel occasionally when required.Technical & Professional SkillsStrong Python expertise, including APIs, asynchronous architectures, data pipelines, and production-grade applications.Hands-on experience with Generative AI and LLM-based solutions, including:Prompt EngineeringStructured Output GenerationAgent OrchestrationAgentic WorkflowsMulti-Step ReasoningStrong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including:EmbeddingsVector DatabasesRetrieval PipelinesChunking, indexing, and evaluation frameworksExperience with Knowledge Representation and Semantic Modelling, including:Knowledge GraphsSemantic SearchMetadata-Driven ArchitecturesStrong SQL skills, including analytics, joins, and window functions.Experience with Python frameworks such as FastAPI, pandas, and related technologies.Experience working with enterprise data platforms such as Snowflake.Strong analytical thinking and structured problem-solving capabilities.Ability to translate business requirements into scalable technical solutions.Excellent communication and stakeholder management skills.Nice to HaveExperience with AWS Bedrock or other enterprise AI platforms.Experience with AI engineering tools such as Copilot, Cursor, Claude Code, or similar.Experience with Neo4j, graph databases, or advanced knowledge graph implementations.Experience working with SEC, EDGAR, XBRL, or similar financial data extraction and processing frameworks.Exposure to Collibra, Master Data Management (MDM), or Metadata Management platforms.Experience building AI-powered data marketplaces, retrieval systems, or semantic search platforms.Previous experience in consulting, solution architecture, or FDE roles.Experience working in highly consultative enterprise environments with senior stakeholders.What Makes You SuccessfulYou focus on solving business problems rather than simply implementing technology.You can quickly understand complex domains and translate ambiguous requirements into structured solutions.You build AI systems that balance innovation, usability, reliability, and scalability.You understand that successful AI solutions require more than models—they require strong foundations in data, retrieval, governance, and user experience.You are comfortable owning outcomes end-to-end, from initial discovery workshops to production deployment.You build trust with stakeholders through clear communication, technical expertise, and consistent delivery.You continuously look for ways to improve how users discover, access, and interact with information.You embrace emerging technologies while remaining pragmatic about business value and operational realities.You contribute to collective intelligence by sharing knowledge, mentoring others, and helping raise the standard of delivery across teams. What We Offer at Keyrus UKCompetitive holiday allowancePrivate Medical & Dental Insurance (Bupa)Group Life InsuranceGym & fitness discounts via Pluxee (Sodexo)On-site gym access at our London officeAccess to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)Auto-enrolment pension scheme with Aegon.Training & Development via KLX (Keyrus Learning Experience)Strong focus on career development and internal mobility.Electric & hybrid car scheme via TuskerAnnual discretionary bonus, based on individual and company performanceReferral bonus for introducing new colleagues. How Our Salary Ranges WorkAt Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.Bottom of the rangeYou meet the core requirements and will need ramp-up time and support.Middle of the rangeYou are fully autonomous from Day 1 and deliver consistently.Top of the rangeYou are a reference for the role, mentor others, and raise the bar for the team.Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process. Responsible AI & RecruitmentAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.️Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process. Equal Opportunity StatementWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleWe’re looking for a Senior Machine Learning Engineer to join a high-ownership team responsible for delivering production-ready model releases as our OEM engagements and release cadence accelerate. This is an applied, delivery-focused MLE role—ideal for engineers who love shipping real systems and iterating quickly.You’ll work on taking models from “works in training” to “meets product constraints,” partnering closely with teams downstream (e.g., inference/performance specialists) to ensure models are ready for deployment on-vehicle. As model capability grows, you’ll help keep the system within tight runtime constraints using a practical model optimisation techniques (e.g., quantisation, distillation, low-rank methods) where appropriate.Key responsibilitiesOwn end-to-end delivery of model releases, from initial requirements through training, evaluation, iteration, and final readiness for deployment.Train and iterate on PyTorch models with a strong experimental approach (hypothesis-driven iteration, ablations, clear evaluation criteria).Debug and improve model performance using strong analytical skills—identifying regressions, root-causing issues, and proposing fixes.Apply optimisation techniques (e.g., quantisation and distillation where beneficial), understanding trade-offs and when methods are appropriate.Collaborate cross-functionally with adjacent ML and performance engineering teams to hand off models, define bottlenecks, and align on optimisation priorities.Communicate clearly with stakeholders to align on delivery timelines, trade-offs, and readiness criteria.About youIn order to set you up for success in this role at Wayve, we’re looking for the following skills and experience:EssentialProven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).Strong hands-on experience training and iterating on deep learning models in PyTorch (not just using high-level tooling).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.Familiarity with model optimisation concepts such as quantisation and/or distillation (hands-on is a strong signal, but not a strict requirement if the fundamentals are solid).Ability to reason across multiple levels of abstraction—from high-level model behaviour down to practical runtime/latency implications.Strong engineering fundamentals and collaboration skills.DesirableExperience working on models that must meet tight latency / efficiency constraints (edge, embedded, real-time, or similarly constrained production settings).Exposure to ML systems spanning training evaluation deployment handoff (even if you’re not writing kernels day-to-day).Exposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.#LI-HH1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Location: London (UK)Department: EngineeringHours: Full-timeAbout YLD:YLD is a software engineering and product design consultancy, founded in 2013, headquartered in London, with delivery teams in Lisbon and Porto.We work with engineering and product leaders who know what good looks like and are frustrated by the gap between strategy and execution. We embed senior engineers and designers inside client teams, working in their codebase, their tooling, their delivery rhythm. AI runs through how our teams work, and we help clients adopt it into their own workflows too.About the role:We're building out data as a first-class practice at YLD, and we need someone in London who can be the credible technical voice in front of clients and prospects, not just describing what we could do, but backing it with real delivery experience.This is a senior role, reporting to our Head of Engineering. You'll sit alongside our commercial and client services leadership in meetings where technical credibility matters, help shape and win new engagements, and stay close enough to client work to guide it and step in yourself when an engagement needs you. Alongside, we expect you to build our external reputation in data through events, writing, and the wider community.About you:You've been a strong data engineer or data lead for years, and you're comfortable in front of a client as well as in a pull request. You know what good data work looks like well enough to spot it, or its absence, in the first ten minutes of a client conversation. You've probably led a team before. Consultancy background is a strong plus, but not essential if you've got real client or stakeholder exposure elsewhere.You don't need an existing public profile in the data community, but you'll need the appetite to build one and the technical depth to make it credible when you do.Your day-to-day responsibilities will look like this:Hands-on delivery (core, from day one)Doing hands-on data engineering work directly, pipelines, transformation layers, models, and the infrastructure around them, not just guiding othersAdapting to different client contexts: legacy warehouse migrations, greenfield lakehouses, transformation layers that need rescuingGuiding the wider team and unblocking hard technical problems as your remit grows beyond your own deliveryDefining and evolving our internal standards for data work: testing, documentation, project structure, code reviewMentoring and growing data engineers across the companyClient and commercial (core, from day one)Joining client and prospect meetings as the technical authority on data, alongside our client services and commercial leadsShaping proposals and pitches, translating client problems into a credible data approach and a defensible scopeActing as the escalation point on live data engagements when technical judgement calls need weight behind themTravelling to client sites for workshops, discovery sessions, and in-person relationship building, and representing YLD at external data eventsPractice, talent, and external profile (growth, over the first year)Owning the growth of YLD's data practice: capability, reputation, and headcount over timeContributing to attracting and hiring strong data engineers into YLDRepresenting YLD at data events and in the wider community as your standing in the market buildsSupporting our sales team so that data becomes something we can proactively sell, not just respond toYou'll have the following skills and experience:Leadership and commercialConsulting or agency experience is a strong plus, but real client or stakeholder-facing exposure elsewhere is acceptableA track record of technical leadership: leading a team or functionComfortable presenting to senior client stakeholders and holding your own under commercial pressureCross-functional fluency: you translate engineering constraints into business terms and negotiate realistic commitmentsAppetite to build a public presence in the data community over time, even if you don't have one yetTechnicalNot theoretical, evidenced by things you've actually shipped, and deep enough to set the bar for a team and answer a sceptical client:SQL as engineering: read and review SQL that performs at scale, and understand query planning, engine quirks, and how materialisation choices affect cost and performance well enough to guide a team's decisionsPython for data: built and maintained production data systems in typed, testable Python, not just notebooks, and can set that standard for othersData modelling: made deliberate choices between dimensional, Data Vault, normalised and denormalised designs, and can explain the trade-offs in flexibility, query performance, and maintainability to both engineers and clientsTransformation architecture: design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scriptsPipeline design: weigh batch, streaming, and micro-batch trade-offs against latency, complexity, cost, and reprocessability, and pick the right approach for the problemData testing: know what to catch at build time (schema contracts, assertions, transformation logic) versus defer to observability, and can make that call for a teamData observability: treat data reliability like site reliability, with measurable indicators, alerting, incident response, and root cause analysisCI/CD for data: version, test, and deploy pipelines like software, with environment promotion, rollback strategies, and infrastructure as codeData governance: implemented lineage, cataloguing, sensitive data classification, or access control, and can hold a client to account on making data auditable and secureCost-conscious: optimised warehouse spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic search, evals, guardrails, etc)You should apply if:Confident and credible in front of clients and prospects, without needing a script, and comfortable holding a firm technical or commercial line when a client or prospect pushes backStill able to hold up in a deep technical review today, architecture, data modelling, pipeline design, not just talk about decisions you made a few years agoSelf-motivated, and want to own building a practice, not just execute a workstream someone else has defined, and comfortable without a fully defined remit from day oneAble to work well with commercial and client services colleagues who aren't technical themselves, translating for them without talking downGenuinely energised by variety: different clients, different stacks, different problems, rather than depth in one domainHappy travelling regularly, client sites, workshops, industry events, wherever the work and the relationship-building actually happensLooking for a role that combines hands-on delivery with client-facing exposure and external visibility (speaking, writing, community), not just one of theseBenefits you’ll receive:Company Private Health care (currently provided by Vitality)Enhanced fully paid maternity and paternity leave for up to 6 monthsCompany's Pension Scheme25 days annual holiday (excluding Public Holidays)2000 annual allowance for Training/Conferences300 annual allowance for additional hardwareMental Health supportBonus (depending on Company performance and results)Company laptopGenerous referral schemesOur typical Recruitment Process looks like this:Screening call with the Talent team (45-60 mins)Technical conversation with our Head of Engineering and a senior data specialist (60 mins)Scenario exercise with our Head of Engineering, Head of Client Services and COO (60–90 mins)Get a glimpse of what it's like working at YLD! ð³Check out our LinkedIn pageWe live and breathe our values, and know you will too:Growing every dayIncluding everyoneRelationships built on honesty and ethicsInspiring solutionsWinning togetherWe’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes.As an Applied AI / ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI–powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience.Job responsibilitiesBuild robust Data Science capabilities which can be scaled across multiple business use casesCollaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systemsResearch and analyse data sets using a variety of statistical and machine learning techniquesCommunicate AI capabilities and results to both technical and non-technical audiencesDocument approaches taken, techniques used and processes followed to comply with industry regulationCollaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutionsRequired qualifications, capabilities, and skillsHands on experience in an ML engineering roleMasters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsTrack record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Extensive experience with pytorch, numpy, pandasHands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.Preferred qualifications, capabilities, and skillsExperience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)Experience of big data technologies (e.g. Spark, Hadoop)Have constructed batch and streaming microservices exposed as REST/gRPC endpointsFamiliarity with GraphQL#CIBAppliedAIJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-04-24

Job Title: Audit Platform Engineering LeadGrade: Senior Manager (Grade B)Location: AllDepartment: Audit Technology Delivery Team (ATDT), Group DigitalReports To: Head of Audit Technology DeliveryAbout UsKPMG is part of a global network of firms that offers Audit, Tax & Pensions, Consulting, Deal Advisory, and Technology services. Through the talent of over 16,000 colleagues, we bring our creativity and insight to our clients’ most critical challenges.With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people, and for the communities we work in.Group Digital is the engine behind internal business and technology services, data, and innovation that power the firm. It ensures secure, resilient, and standardised technology solutions that keep our operations running smoothly and enable colleagues to deliver exceptional client service. By driving our digital strategy, safeguarding against cyber threats, managing data responsibly, and providing tools for seamless collaboration, Group Digital positions the firm for the future. Through innovation and accelerated adoption of digital and AI capabilities, it supports growth and transformation, unlocking value for both colleagues and clients.Role PurposeWhat we are looking for…This role will be situated within the Audit Technology Delivery Team (ATDT) within KPMG’s Group Digital Function and is a direct report to the Head of Audit Technology Delivery.We are seeking an experienced, skilled, and proactive Platform Engineering Lead to join our dynamic team. In this role, you will play a crucial part in establishing and leading a new engineering vertical within ATDT, shaping a modern engineering tower to support developers and cloud engineers. You will oversee the design, development, and maintenance of cloud platform solutions, enabling seamless integration of modern engineering techniques across the team.In addition, you will lead a team of engineers, including specialists in both traditional infrastructure and Azure DevOps, ensuring the stability, availability, and security of the Azure platforms used by product developers. This team will also provide 4th-line SME support for KPMG’s critical Audit applications and other key products hosted in Azure.Key ResponsibilitiesTeam LeadershipBuild and lead a high-performing team of engineers specializing in both traditional infrastructure and Azure DevOps.Foster a culture of collaboration, innovation, and continuous improvement.Transition engineering resources into the new vertical and define the structure and skills required, including capabilities in DevOps, Data & Analytics, and AI.Cloud Platform Build and MaintenanceLead the design, build, and maintenance of resilient and secure cloud-based solutions.Define and implement standardised patterns, practices, and tools to support the development lifecycle.Ensure platforms are optimized for performance, reliability, and scalability.Cloud OptimizationContinuously review and optimize cloud resources for cost efficiency and performance improvements.Ensure solutions adhere to best practices for security, compliance, and operational efficiency.SME Technical Cloud SupportProvide 4th-line technical support for key applications, including mission-critical Audit platforms hosted on Azure.Troubleshoot complex issues, ensuring minimal downtime and operational continuity.Act as the technical escalation point for complex infrastructure and cloud-related incidents.Environment Stability and SecurityEnsure the stability, availability, consistency, and security of non-production environments across ATDT.Collaborate with other teams to ensure environments are aligned with production standards and support quality assurance processes.Strategic ContributionEstablish and shape the new engineering vertical, integrating seamlessly with existing towers.Develop and execute a strategic roadmap for the vertical, aligning with organizational goals.Act as a trusted advisor to senior leadership, providing insights and recommendations on platform strategy and execution.Skills and QualificationsEssential:Proven experience in leading engineering teams, with expertise in both traditional infrastructure and Azure DevOps.Strong knowledge of cloud platforms, especially Azure, and modern engineering practices such as Infrastructure as Code (IaC), CI/CD, and containerization.Experience managing and optimizing non-production environments to ensure stability and security.Expertise in cost optimization and performance tuning for cloud environments.Exceptional troubleshooting skills, with experience in 4th-line support for critical applications.Strong leadership and team-building skills, with experience in creating and growing teams.Desirable:Experience in integrating Data & Analytics or AI capabilities into engineering practices.Relevant certifications such as Microsoft Azure Solutions Architect, Azure DevOps Engineer, or equivalent.Familiarity with audit-related applications or regulated industries.Key CompetenciesStrategic thinking and problem-solving.Excellent communication and stakeholder management skills.Adaptability and innovation in a dynamic environment.Strong organizational and project management abilities.Key Deliverables for the First 12 MonthsEstablish the new engineering vertical within the team and define its structure.Transition engineering resources into the new structure effectively.Develop a roadmap for skill development, focusing on DevOps, Data & Analytics, and AI.Optimize the Azure platform to support current and future product development.Build and maintain a resilient support model for the Firm’s critical Audit application and other key platforms.#LI-AR1

Position Overview:This is a Full‑time Junior Software Engineering position for candidates early in their career who are interested in infrastructure, systems, and machine learning platforms at scale.As a Junior Engineer, you will contribute to production ML/HPC infrastructure, working alongside experienced engineers and quantitative researchers. You will gradually take ownership of components and features, learn how large‑scale systems are designed and operated in practice, and contribute production‑quality code that directly supports research and trading workloads.This role is designed to offer strong mentorship while encouraging increasing autonomy and technical ownership over time.As part of the team, you will work on some of the following:Design, implement, and maintain data pipelines for machine learning training and inference.Develop and improve workflow orchestration and infrastructure components (e.g. scheduling, resource allocation, data movement, filesystems).Analyze and improve performance and scalability of systems and critical code paths.Improve the reliability, observability, and usability of ML or HPC platforms.Collaborate with quantitative researchers and developers to understand requirements and translate them into robust technical solutions.The opportunity to work on production‑grade ML and HPC infrastructure at scale.Strong mentorship and technical guidance from experienced engineers.Gradual ownership of meaningful systems and components.Exposure to real‑world performance, scalability, and reliability challenges.Close collaboration with quantitative researchers and developers.You will be expected to learn existing systems, contribute independently to ongoing work, and progressively take ownership of well‑defined areas of the platform with support from more senior engineers.Required QualificationsA degree (BSc or MSc) in Computer Science, Engineering, Applied Mathematics, or a related field, or equivalent practical experience.Strong foundations in computer science (e.g. algorithms, data structures, operating systems, distributed systems).Experience developing software in at least one language such as Python, C++, or Rust.Familiarity with writing, testing, and maintaining production‑quality code.Ability to reason clearly about technical problems and communicate effectively with teammates.Interest in infrastructure, performance, and large‑scale systems.Exposure to machine learning workflows, data engineering, or ML platforms.Experience working in Linux environments.Introductory knowledge of distributed systems, HPC, or cloud platforms for CPU and GPU workloads.Experience with profiling, benchmarking, or performance analysis.Additional Qualifications (Nice to Have)Familiarity with CUDA or other GPU development frameworks.The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates’ compensation and benefits will be determined in consideration of various factors.

Missions/Main DutiesWorking in collaboration with our designers and contract partners, the Principal Digital Engineer will be involved in a variety of tasks such as:Support the Design Integration Team, BIM Production Manager, GIS Specialists and Production Team(s) in day-to-day Design implementation

Position Overview: We’re looking for aJunior UX/UI Engineer- a hybrid creative technologist who combines strong design skills with a solid technical foundation in front-end development.In this role you will be working closely with the team to create intuitive experiences for our web-based trading and enterprise platforms. You’ll help bring complex, data rich interfaces to life in Figma and React. Your coding expertise will enable you to collaborate seamlessly with engineers, design with technical constraints in mind, and contribute to front-end development when needed.This is a fantastic opportunity to develop into a well-rounded UX/UI Engineer - deepening your UX/UI design expertise while building on your technical engineering skills. You’ll gain exposure to the full end‑to‑end product development process, from translating ideas into polished deliverables, iterating based on business feedback and technical constraints, through to QA before release — all within a fast‑moving financial technology environment.Key responsibilities:Collaborate with the team to create new screens, workflows, and features in Figma, for both new and existing applicationsContribute to frontend codebase in React, translating designs into production ready codePartner with developers, product managers, analysts, and trading teams to refine designs and solve user problemsApply UX principles while balancing technical feasibility, accessibility, performance, and delivery timelinesContribute to and help maintain our design system componentsConduct QA testing on implemented designs to ensure they meet functional, visual, and usability requirementsRequired Qualifications:Bachelor’s degree in design, Computer Science, HCI, or related fieldWorking experience in Figma, with a portfolio showcasing process of designing and implementing web applicationsWorking experience in React, understanding of web development technologies (JavaScript/TypeScript, HTML, CSS)Familiarity with accessibility, usability and best UX practicesStrong collaboration and communication skillsAbility to manage tasks independently and handle multiple projectsWhy Join UsDirect mentorship from a UX/UI Designer with a hybrid Design + Engineering backgroundBuild expertise in both interface design and front‑end engineeringWork on high impact applications used in a global trading environmentJoin a collaborative, technology driven organization with career flexibility

Who we areHelsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The roleAs a Field Engineer at Helsing, you will play a crucial role in maturing Helsing's cutting-edge military AI products from proof of concept to large-scale rollout.You will testing combined software and hardware products throughout the product development lifecycle, in collaboration with world-class software and AI engineers, product managers, and end users as part of a tight iteration loop. You will ultimately help assure the safety and reliability of Helsing's products.The day-to-dayTesting combined software and hardware products end to end in the lab and in the field (including flying drones), capturing data, and providing feedback to Helsing’s software and AI engineersPacking equipment, transporting it to the test locations (eg, airfields), setting it up, performing tests, and then packing up at the end of the dayInstalling AI software onto edge computing devices, using Helsing's in-house deployment toolsHelping to design and improve test plans and safety SOPsDefining and securing the resources we need to maintain an effective and efficient field testing operation, and helping to secure them. For example, this may include purchasing hardware, trialing new software tools for inventory management and QA, establishing new secure storage facilities, and preparing safety cases and submissions to aviation authorities.Advising on training course design and in-service support proceduresOpportunities to travel to other testing locations in the UK, France, Germany, and beyondYou should apply if youHave a strong technical aptitude and natural curiosity. You can understand complex hardware and software products at a systems level (not necessarily at the code level). You’re not satisfied until you understand how something works (or why it doesn’t work).Have excellent written and verbal communication skills. You can write clear and concise documentation and speak fluently about technical concepts with engineers and non-engineers.Are a natural problem solver. Can independently own critical work streams, identify problems, and take the initiative to solve them.Are passionate about protecting liberal democratic values by contributing to the defence and security sectorNote: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.Nice to haveExperience testing software and/or hardware products, at any stage of maturity (from prototype to production system)Experience flying drones, possession of pilot licencesExperience training end users on how to use complex hardware and/or software products, or providing support to end usersJoin Helsing and work with world-leading experts in their fieldsHelsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.What we offerA focus on outcomes, not time-trackingCompetitive compensation and stock optionsRelocation supportSocial and education allowancesRegular company events and all-hands to bring together employees as one team across EuropeA hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one (Specifically for engineering and AI)Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.Helsing's Candidate Privacy and Confidentiality Regime can be found here.

MAPP is the UK’s leading specialist in commercial property and asset management, with over 30bn+ of property under management for a wide range of UK and overseas fund managers, REITs and property owners. We believe property management can be a force for good. That’s why we focus on making buildings work — not just for profit, but for people and the planet too. Through our Property Management framework, we help clients and occupiers navigate a rapidly changing landscape, delivering a fully integrated and genuinely holistic approach. Most job descriptions read like a recipe without showing you what the finished dish should look like. We’d rather give you a clear picture of who we are, how we work, and the kind of person who thrives at MAPP. If this role excites you and you think you could make a difference here, we’d encourage you to apply — even if you don’t tick every box. We’re interested in people who want to do meaningful work, add real value, and be rewarded for their efforts in a genuinely great place to work. Inclusion at MAPPWe want the real estate industry to be a career path where people feel both welcome and wanted. We’re proud of the progress we’ve made so far, but we’re always challenging ourselves to do better. We want the best people to see themselves thriving at MAPP. Creating an environment where everyone feels able to be themselves is essential to that – because diverse perspectives, lived experience and ways of thinking make us stronger. Our values and how we workOur MAPP values underpin everything we do. We were the first national real estate consultancy in the UK to become a B Corp, and that commitment to doing business responsibly shapes our decisions every day. We recently were reaccredited and improved our score significantly. We want you to learn, grow and challenge yourself. As a business, MAPP has grown consistently over the past five years, and we promote around 10% of our office-based roles internally each year. We invest in development, create opportunities to broaden professional horizons, and make time to connect — through charity days, fundraising, learning initiatives and social events. High expectations & employee ownershipWhat makes MAPP distinctive is that we are owned by an Employee Ownership Trust. There are no external shareholders — our business is held on behalf of our people. This creates a more inclusive and transparent environment, where employees are informed, involved, and able to influence how we move forward. It also means that when the business succeeds, that success is shared — typically through a profit share that can be paid tax-free to each individual. Being employee-owned shapes the way we show up. It encourages us to think long term, take ownership of our decisions, and care about the impact of our work. We place a strong emphasis on trust, expecting people to use their judgement, take initiative, and support one another. Collaboration, curiosity, and accountability are key to maintaining both our performance and our culture. In return, we offer autonomy, support and the opportunity to grow in a business where your contribution genuinely matters. Why join MAPP?This role gives you the opportunity to be part of something a little bit special in property management. We’re always looking for great character — that’s what makes someone a MAPP person. If that sounds like you, we’d love to hear from you. A few facts about MAPP you might like to know:Our engagement scores are consistently high and in 2025, we had an engagement score of 83% and 92% of our people recommend MAPP as a great place to work. Title, Team and Role SummaryTitle : Senior/ Principal Electrical Engineer Team : Building Consultancy Who Does This Role Report Into? Associate Director – Building Consultancy Role Summary / Purpose and ScopeMAPP Building Consultancy is a leading firm of chartered surveyors, known for our innovative solutions and commitment to excellence.We are seeking a skilled and experienced electrical engineer to join our dynamic team in London. The electrical engineer will support the wider Building Consultancy (BC) and Sustainability teams with specialist electrical input and technical design capabilities.The ideal candidate will have a minimum of five to seven years’ industry experience with the ability to run projects. They shall have the expertise to review the electrical services and optimise building performance across our commercial real estate portfolio and supporting net-zero carbon strategies. This opportunity is ideal for an experienced Senior Electrical Engineer seeking to take the next step in their career, developing both technical expertise and leadership skills, with a view to progressing into a Principle role.Skills, Knowledge and ValuesSkills (People & Technical) Leads the design and co-ordination of electrical services, systems and installation on engineering projects. Undertake electrical engineering designs and calculations using appropriate technical software (Amtech and DIALux) Co-ordinate and collaborate with building surveyors, architects, engineers, and sustainability team members to integrate decarbonisation opportunities and energy-efficient systems design. Prepare technical reports and specifications in accordance with clients’ briefs Undertake and co-ordinate the production of technical drawings Attend and participate in client and (internal and external) project meetings Validate and review of calculations, specifications, drawings and reports produced by others Undertake site visits on engineering projects Responsible for managing engineering projects Liasing with external third parties (clients, contractors, architects) regarding information and technical queries Supporting the delivery of projects in accordance with the expectations of the MAPP project delivery process from a project management, financial management, QA/QC and technical review perspective. Fulfil the compliance and policy requirements in accordance with MAPP policies and procedures and the relevant legislative framework. Monitoring statutory and internal compliance, including meeting MAPP policies and procedures, RICS and ISO standards and any statutory timelines and escalation requirements.Values & Behaviour Exhibition of MAPP Values :Avoid Ambiguity, Appreciative, Adventurous, Authentic and Accountable Self-Management including showing initiative, being proactive and meeting deadlines Embracing change including technology Engaging with the big picture Great service delivery including working in partnership with internal and external individuals and good communicating in written and verbally Achieving results and prioritise work including attention to delivery to all stakeholders Innovative solutions and problem solving Developing self and others and willing to learn Strong written and verbal communications including report writingExperience and SalaryLevel of Experience / Certifications:Experience in electrical building services within the commercial real estate sector.A degree in Electrical Engineering/Building Services Engineering or an alternative similar field (ideally to Master’s level).Be a member of the Chartered Institute of Building Services Engineers (CIBSE), Institution of Engineering and Technology (IET), or an alternative equivalent body.Proactively manage own continuing professional developmentProficiency in simulation software such as Amtech and DIALux. Proficiency in the use of AutoCAD for the production of two-dimensional design drawings.Strong understanding of the British Standards, Approved Documents, IET Wiring Regulations and CIBSE Codes/Guidance. Understanding of ASHRAE standards is desirable.A working knowledge of software packages including Revit, AutoCAD, Bluebeam.A strong knowledge of UK building regulations and standards.Working Hours: 9am - 5.30pm Monday - FridaySalary Range (Based on Experience)55,000 - 65,000 per annum, depending on experience.DepartmentBuilding ConsultancyEmployment TypeFull TimeWorkplace typeHybrid

Controls EngineerPosition OverviewWe are seeking a Controls Engineer to design, program, commission, and support industrial control systems for manufacturing operations. The role focuses on developing reliable, safe, and maintainable PLC, SCADA, and HMI solutions that improve process performance and uptime. You will work cross-functionally with operations, electrical, and mechanical teams to deliver automation projects from concept through startup and continuous improvement.Key ResponsibilitiesDesign, program, and debug PLC systems to control manufacturing equipment and processes.Develop, configure, and maintain SCADA and HMI applications for process monitoring and operator control.Create and review electrical control schematics, panel layouts, and wiring diagrams in accordance with standards.Commission, start up, and validate control systems on-site; perform field troubleshooting and root-cause analysis.Work with procurement and vendors to specify and select control components and instruments.Implement control system changes, upgrades, and retrofits while minimizing production disruption.Develop and maintain technical documentation: control narratives, I/O lists, PLC code comments, test plans, and SOPs.Ensure automation designs comply with safety standards, electrical codes, and company policies.Support maintenance and operations teams with troubleshooting, spare parts recommendations, and training.Drive continuous improvement initiatives to increase reliability, efficiency, and maintainability of automated systems.QualificationsBachelors degree in Electrical Engineering, Controls Engineering, Mechatronics, or related field, or equivalent experience.Proven experience developing and commissioning PLC-based control systems in industrial or manufacturing environments.Hands-on experience with SCADA and HMI platforms and application development.Strong knowledge of electrical schematics, control panel design, and industrial wiring practices.Familiarity with common PLC platforms (e.g., Allen-Bradley, Siemens) and programming languages (Ladder Logic, Structured Text, Function Blocks).Experience with industrial communication protocols and networking (Ethernet/IP, Modbus, Profibus, OPC).Practical experience with instrumentation, sensors, motor control, VFDs, and I/O device integration.Solid troubleshooting and problem-solving skills, including field diagnostics and root-cause analysis.Working knowledge of safety standards and codes applicable to control systems (e.g., IEC, NFPA/70E) and machine safety concepts.Strong communication skills and the ability to collaborate with multidisciplinary teams; willingness to work on-site and travel as required.BenefitsMedical, Dental, Vision Insurance401(k) with company contributions Annual bonus eligibility (role-dependent)Flexible PTOEmployee Resource Groups (ERGs)Wellness-focused benefits and programs

Company DescriptionWork with Us. Change the World.At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.We're one global team driven by our common purpose to deliver a better world. Join us.Job DescriptionAre you ready to challenge the boundaries of what's possible? We're seeking a dynamic Bridges & Structures Engineer to join our busy and expanding experienced Croydon Bridges team.Our Croydon office has an established track record of successfully delivering bridge engineering schemes for over 75 years, mainly in the London and Southeast England but also throughout the UK and overseas. The team provides assessment, concept, feasibility, preliminary and detailed designs on a wide range of schemes, either as standalone bridge commissions or as part of multidisciplinary major projects. Our clients are from the private and public sector and include long term Framework Agreements with numerous London and Southeast England Local Authorities together with Design and Build commissions for many major Contractors.As a Senior Bridge Engineer, you will have the following daily responsibilities:Undertake rail and/or road bridge and associated structures engineering schemes from inspection and assessment, feasibility through to detailed design. Hands on technical design of road and/or rail structures.Hands on assessment of road and/or rail structures.Assist with the commercial and financial control of your project.Supervision of graduate engineers and technicians.Planning and project management.Client liaison. Production of tenders including quality documentation and costings.Report writing and production of technical reports and documents.Come grow with us.We develop projects from concept through operation providing engineering and construction services for multiyear, multimillion-dollar projects for major rail and transit agencies. Our specialists provide analytical and strategic expertise for every stage of a projectAnd let's not forget about the perks at AECOM. You'll enjoy a range of core and personalised benefits designed to support your future and well-being, customized to fit your lifestyle. Take advantage of career development opportunities, our flexible hybrid working model to ensure a work-life balance that suits your lifestyle, technical practice networks, AECOM University, and volunteering days.QualificationsReady to push the limits of what’s possible?Here’s what we’re looking for:Degree in Civil or Structural Engineering. Ideally educated to MSc level or equivalent.Chartered status or near Chartered/ Incorporated status with appropriate level of experience (with the Institution of Civil Engineers or Institution of Structural Engineers)Commitment to working a minimum of 2 days per week in our Croydon Office.Strong technical skills in bridge engineering and a keen commitment to quality with a ‘right first time’ approach to your own work.Good working knowledge of structural Eurocodes, National Highways (DMRB & MCHW) and Network Rail standards.Good working knowledge of structural analysis software – Lusas, MIDAS, Sofistik or SBD preferred.Experience in the production of calculations/drawings, risk assessments, specifications and reporting; as well as interdisciplinary review on multi-discipline projects (through e.g. a good understanding of the key interfaces with road and rail).We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at ReasonableAccommodations@aecom.comAt AECOM, we value everyone's unique contributions and perspectives.If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you!Additional InformationInterested in the role or curious about life at AECOM? Follow us on LinkedIn, Facebook, Instagram, and YouTube to explore our AECOM voices, employee stories, latest projects, and much more#bridgeengineeringAt AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.About AECOMAECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $16.1 billion in fiscal year 2025. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed.You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients.AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too.Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address ReasonableAccommodationsUKI@aecom.com if you would like to apply through the Disability Confident Interview Scheme.All your information will be kept confidential according to EEO guidelines.SummaryType: Full-timeFunction: EngineeringExperience level: AssociateIndustry: Construction

Accepting applications until: 28 August 2026Job DescriptionYour New RoleMLOps EngineerGlobal:IQ is the team building our new intelligence platform, turning first-party and partner data into smarter, data-led media plans across Global’s audio and Outdoor inventory.As a MLOps Engineer at Global, you’ll build the operational infrastructure that brings AI and ML models into production. You’ll own the platforms, pipelines and processes that let our Data Science teams deploy, monitor, retrain and govern models reliably at scale—from the ground up.Key Responsibilities ML Infrastructure & Deployment (40%): Build automated pipelines for model training, validation and deployment, plus model registries, feature stores and inference services, with self-serve tooling for Data Science teams.Model Monitoring & Operations (30%): Implement monitoring, alerting and automated recovery for ML workloads—covering latency, data quality and drift—and own rollback, rollout and incident response.MLOps Governance & Best Practice (20%): Establish controls for model lineage, reproducibility and audit trails, and introduce ML-specific CI/CD, testing and release automation.Collaboration & Enablement (10%): Partner with Data Science, Data Engineering and Product, and mentor junior engineers to raise operational standards.What you will love about this role: Think Big: This is a true AI-driven product—ML isn’t a feature, it’s the product, and your infrastructure directly enables business value.Own It: You’re not maintaining legacy systems—you’re establishing the MLOps patterns and standards that will scale for years.Keep it Simple: You’ll build pragmatic, reusable patterns that keep ML systems reliable and maintainable without over-engineering.Better Together: Global:IQ is a tight collaboration between technical and commercial teams.What Success Looks LikeIn your first few months, you’ll have:Defined a clear operating model between MLOps and the teams developing models.Delivered an end-to-end MLOps path for at least one production use case, from model handoff through deployment, monitoring and rollback.Established baseline standards for model versioning, environment management and deployment.Implemented monitoring and alerting across operational health, data quality and model performance.What You’ll NeedMLOps experience: You’ve operationalised ML models in production, owning deployment, monitoring and lifecycle management.Strong programming: Production-quality, testable Python.Cloud expertise: Deep AWS knowledge (SageMaker, Lambda, ECS/EKS, Step Functions); Snowflake a plus.MLOps tooling: Experiment tracking and registries, workflow orchestration, model serving and feature stores.CI/CD & IaC: ML-specific CI/CD, Terraform, Docker and test automation.Cross-disciplinary communication: You translate between Data Science and Engineering and explain trade-offs to any audience.SummaryLocation: Holborn - LondonType: Full time

Accepting applications until: 14 August 2026Job DescriptionYour Role: Data Engineer (DAX)Global is looking for a Data Engineer to join the Data Engineering team supporting our Digital Ad Exchange (DAX).You’ll design, build and maintain the data products, pipelines and platform capabilities that power DAX’s data-driven initiatives. Working closely with other Data Engineers and the wider Data Group, you’ll deliver reliable, well-tested and scalable data solutions, helping to shape and evolve our modern data platform and engineering practices.This role reports to the Lead Data Engineer (DAX) and plays a key part in running a robust data platform that supports business insight, operational processes and product development across DAX.As a Data Engineer (DAX) at Global, you will:Key ResponsibilitiesBuild & Delivery (50%): Design, develop and maintain data pipelines, services and platform capabilities used across DAX. Translate business and technical requirements into high-quality, maintainable solutions, writing clean, reliable and well-documented code for data ingestion, transformation and processing. Contribute to technical design, standards and best practices.Collaboration & Team Contribution (20%): Work closely with Data Engineers, Analytics Engineers, Analysts, Product and other teams across DAX and the wider Data Group. Participate in code reviews, pairing and planning sessions, share knowledge with colleagues, and communicate clearly on progress, risks and technical decisions.Operations, Support & Improvement (30%): Monitor and support the day-to-day operation of production pipelines and data processes. Lead or contribute to the investigation of pipeline failures, data quality issues and performance problems, improving observability, alerting and reliability, and deepening the team’s understanding of the DAX data domain.What You’ll Love About This RoleThink Big: You’ll help drive the evolution of the DAX data platform, delivering data products and capabilities that support a key and growing part of the business.Own It: You’ll take end-to-end ownership of data engineering workstreams, from design through to deployment and support.Keep it Simple: You’ll build robust, scalable solutions that solve real engineering challenges in a practical, maintainable way.Better Together: You’ll be part of a collaborative data team, working with talented engineers, analysts and data scientists to deliver meaningful business outcomes.What Success Looks LikeIn your first few months, you’ll have:Gained a strong understanding of the DAX data platform, its architecture, data models, tooling and engineering practices.Led or significantly contributed to the delivery and support of production data pipelines and services.Demonstrated the ability to write clean, tested and maintainable code with minimal guidance.Built confidence in diagnosing and resolving issues across data workflows and platform components.Developed a solid grasp of the DAX data domain and how the platform supports commercial and product decisions.Identified and delivered improvements to reliability, data quality, performance or developer experience.What You’ll NeedSQL & Data Engineering: Strong SQL skills and solid experience working with relational data, ETL/ELT processes and data pipelines in production environments.Programming Skills: Practical experience programming in Python for data engineering, with a focus on readable, maintainable and testable code.Modern Data & Cloud Practices: Experience with modern data engineering tooling and cloud platforms (ideally AWS and Databricks), and familiarity with distributed processing (e.g. Apache Spark). Exposure to infrastructure as code (such as Terraform and Databricks Asset Bundles) is a plus.Engineering Mindset: Understanding of testing, version control, CI/CD and observability, and a commitment to building reliable, secure and scalable data solutions.Collaboration & Communication: Strong problem-solving skills, attention to detail and the ability to work effectively with technical and non-technical colleagues.Curiosity & Impact: Interest in advertising technology, analytics or large-scale data systems, with a focus on how data engineering enables business outcomes.SummaryLocation: Holborn - LondonType: Full time

Method Resourcing are delighted to partner with an innovative SaaS business based in London looking to hire a Senior Data Engineer to join their talented team as they continue to grow.The Senior Data Engineer will be a key member of the Data & Analytics team, leading the design and build of a centralized Data Warehouse. The role focuses on delivering scalable data solutions that improve storage, integration, and management, using expertise in Kimball Methodology and Azure Data Factory to ensure reliable, consistent data across all sources.Responsibilities:Build and maintain ETL pipelines using Azure Data Factory to ingest data from multiple sources into Azure SQL Server.Enforce data governance policies, conduct QA checks, and implement monitoring to uphold data quality and integrity.Review API documentation and analyse raw data and source system models to ensure data is well understood before staging.Maintain data dictionaries and models, sharing knowledge with the team to foster continuous improvement.Support Senior Data Analysts with complex SQL queries and Power BI reporting, providing cover during absences.Work effectively across global teams in a hybrid model, delivering high-quality output with professionalism.Communicate technical concepts clearly to non-technical stakeholders, building collaboration across the business.About you:Proficient in Azure Data Factory, Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps.Strong data modelling skills, with experience building scalable staging and production layers.Proven ability to optimise data loads for reliability, performance, and efficiency.Forward-thinking approach to scaling data infrastructure in line with business growth.Experience integrating data from diverse sources, maintaining accuracy and consistency throughout the ETL process.Skilled at troubleshooting complex data pipeline and infrastructure issues.Collaborative team player, able to align data solutions with business objectives across cross-functional teams.Familiar with CI/CD pipelines and agile practices to support efficient development and deployment.RSG Plc is acting as an Employment Agency in relation to this vacancy.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AIForward Deployed Team Leads are senior technical leads who own a commercial or enterprise customer end-to-end. You’ll combine strong technical architecture, hands-on coding, product ownership, project management, and stakeholder communication—embedding directly with customers to take our product from “design” to “in production.”You’ll own one account at a time: scope the workflow with business and technical stakeholders, design the architecture, write the code that closes the gaps, and drive the deployment through to measurable business value.ResponsibilitiesTechnical architecture. Own data flow, integration topology, identity model, and deployment architecture across the customer’s infrastructure.Hands-on coding. Write production code yourself—backend services, data pipelines, APIs, integrations.Product ownership. Own the deployment’s roadmap. Execute on the statement of work. Decide what’s in scope, what’s a one-off, and what should become product.Project management. Own the plan, milestones, risks, and dependencies. When something slips, know first and flag first.Stakeholder communication. Run customer working sessions, brief executive sponsors, and write clean status updates that senior stakeholders will actually read.Ship into production. Deploy from dev through UAT into production—including integration with customer data warehouses, ERP/CRM systems, and cloud environments (AWS, Azure, GCP).Enterprise readiness. Ensure the platform is configured, secured, and monitored to meet enterprise security and compliance requirements (SOC 2, ISO 27001, data residency, etc.).Bridge field back to product. Push field learnings into the core platform so the next deployment is faster.Account growth and development. Partner with Sales to identify expansion opportunities within the account—surfacing new use cases, supporting renewal conversations, and ensuring successful deployments convert to long-term customer relationships.QualificationsBS/MS in Computer Science, Software Engineering, Engineering, or equivalent practical experience.6+ years shipping production software, with 2+ years as a tech lead or senior individual contributor owning delivery end-to-end.Strong proficiency in Python, TypeScript/JavaScript, Java, Go, or C++.Demonstrated ownership of systems taken from zero to production in a commercial or enterprise context.Bring deep expertise in at least one vertical (financial services, healthcare, energy, manufacturing, or defense) to accelerate time-to-value and credibility with customer stakeholders.Experience working directly with business and technical stakeholders at mid-market or enterprise accounts—comfortable in both exec-level conversations and deep technical design sessions.Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native services, and infrastructure-as-code (Terraform or equivalent).Preferred QualificationsPrior experience as a tech lead or staff engineer at a SaaS or enterprise software vendor with a forward-deployed or professional services motion.Experience with AI/ML platform deployments or data-heavy enterprise applications at scale.Familiarity with major cloud environments: AWS, Azure, or GCP, including managed ML/AI services.Experience in regulated industries (healthcare/life sciences, manufacturing, energy) where compliance and change management are part of the delivery.Proven ability to turn a messy, ambiguous customer problem into a clean, repeatable deployment pattern.C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

THE AI ACCELERATORMost diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator’s mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data to identify novel therapeutic targets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest. A core component of the AI Accelerator is AI Enablement, a team that provides the support framework to make our ambitions a technical reality. It could be provisioning integrated, multimodal biomedical data for model training and inference. It could be managing the lifecycle of models provided by AI Systems. It could be working with IT to ensure the right infrastructure and tooling are in place. AI Enablement ensures that the model builders can focus on the technology and that Computational Innovation’s downstream users can leverage accelerator capabilities for real portfolio impact. THE POSITIONWe are seeking two Senior Data Engineers, one with a medical imaging focus and one with a multi-omics focus, to join the AI Enablement team and contribute to the design and delivery of robust data engineering pipelines that transform harmonised biomedical datasets into AI-ready, integrated assets across multi-omics, clinical and health records, and medical imaging data. You will be an experienced, independent data engineer within AI Enablement, owning significant data engineering workstreams within the broader technical direction and architecture set by the Senior Staff Data Engineer. The pipelines and integrated datasets you build will enable model training, fine-tuning and inference in a production setting. Key Responsibilities Build and maintain entity linking pipelines that connect patients, samples and other biomedical entities across modalities such as imaging, clinical and multi-omics records Build and maintain cross-modal integration pipelines that combine linked imaging, mulit-omics and clinical records, each with different formats, scales and structures, into unified assets ready for multimodal model training, fine-tuning and inference Ensure pipelines and datasets are built and operated in accordance with data access permissions, consent conditions and usage restrictions, including within Trusted Research Environments or other controlled access settings Build and maintain biomedical benchmark datasets with versioning and documentation Write clean, well-tested, well-documented code that meets the required engineering standards and contribute to code reviews within the data engineering team Stay current with advances in data engineering tooling and practices relevant to biomedical AI Required Qualifications PhD in Machine Learning, Computer Science, Bioinformatics, Computational Biology or a related quantitative field Strong hands-on experience in data engineering for machine learning with proficiency in modern data engineering tech stacks Experience working with medical imaging modalities (radiology and/or histopathology) or multi-omics modalities (transcriptomics, proteomics) and a working knowledge of other biomedical data modalities sufficient to support cross-modal integration Practical experience with entity linking or record linkage, ideally in a biomedical or clinical context, and a strong understanding of biomedical data characteristics such as variant data formats, expression matrices and clinical coding standards such as SNOMED and ICD-10 Familiarity with data governance frameworks applicable to biomedical and clinical data and Trusted Research Environments or controlled access biomedical data environments This is a hybrid role with approximately 3 days a week in the office WHY THIS IS A GREAT PLACE TO WORKBoehringer Ingelheim has been recognised as a Top Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies.To learn more about why BI is a great place to work, visit:

Role OverviewThe Senior Data Engineer is the technical owner of the ClarusONE data platform. This is a hands-on engineering role with real ownership: alongside building and delivering data pipelines, you will raise the engineering standard of the platform — improving its reliability, scalability, security, and quality and help shape where it goes next.The platform has grown quickly, and this role is central to establishing the engineering patterns, frameworks, and best practices that will support it at scale. You will bring a technical lens to infrastructure, deployment practices, and architecture, and act as a trusted technical voice within the team.You will operate within the ClarusONE data governance framework, ensuring sensitive data is properly protected and that data can be traced end to end through its lifecycle. You will work closely with Analytics, Data Science, Software Engineering, and IT/Infrastructure to maintain an accurate, efficient, and compliant data environment — and will communicate confidently with stakeholders across the business, including Finance.Key ResponsibilitiesPlatform Ownership & Engineering StandardsTake technical ownership of platform components, ensuring quality and consistencyEstablish, apply, and evolve engineering best practices, design patterns, and coding standardsDefine reusable patterns and frameworks across the data platform (including layered/medallion architecture approaches)Identify opportunities to improve performance, cost efficiency, scalability, and reliabilityContribute to the target architecture and long-term platform directionData Engineering & DeliveryDesign and build robust, scalable data pipelines (Snowflake, dbt, Airflow, ADF, Python)Apply strong practices in test-driven development, monitoring, logging, and observabilityOwn more complex technical solutions and problem-solvingSupport production issues and drive root-cause improvements rather than quick fixesData Governance, Traceability & ComplianceEnsure data lineage and traceability across the data lifecycle, so any figure can be traced back to sourceEnsure sensitive data is appropriately protected within the ClarusONE data governance frameworkWork with IT teams to ensure solutions meet governance and compliance requirements (e.g. SOX)Understand and manage the implications of production changes within a controlled release processInfrastructure & DevOpsContribute to and maintain Infrastructure as Code (IaC) for the platform (Azure, AKS) in collaboration with the Infrastructure teamWork within and help mature CI/CD pipelines, deployment workflows, and governance processesContinuously improve how the team builds, tests, and deploys data pipelinesInnovation & Platform EvolutionBring forward ideas to improve the platform, tooling, and developer experienceEvaluate emerging technologies and contribute to adoption decisionsSupport platform evolution, including re-architecture and migration activitiesCollaboration & CommunicationSupport other Data Engineers by sharing best practices and technical approachesCollaborate closely with Analytics & Data Insights, Software Engineering, and IT/InfrastructurePresent technical work and recommendations to a range of audiences, including company-wide forumsBuild strong working relationships with business stakeholders, including Finance, and translate technical concepts into clear, practical terms(The above statements describe the general nature and level of work being performed in this job. They are not intended to be an exhaustive list of all duties.)Minimum RequirementDegree or equivalent and typically requires 7+ years of relevant experience.EducationBachelor's degree level or aboveCritical Skills6+ years' experience in data engineering or platform engineering, including at least 2 years at senior or lead level4+ years' experience building and maintaining CI/CD pipelines, deployment workflows, and associated governance processesAdvanced SQL and Python, with hands-on experience building data pipelines and transformations at scaleHands-on experience with a modern cloud data stack, including Snowflake, dbt, Airflow, and Databricks, on a cloud platform (Azure preferred)Demonstrated experience delivering data lineage and traceability within a regulated environment (e.g. SOX, financial services, healthcare, or similar)Experience contributing to platform migrations, re-architecture, or modernisation programmesProven ability to present technical concepts to non-technical and senior stakeholders, including Finance, and influence decisions through practical recommendationsAdditional Knowledge & SkillsPlatform & InfrastructureMaintaining Infrastructure as Code for cloud-based data platformsExposure to containerised or distributed systems (AKS advantageous), including deployment, scaling, and operational considerationsOrchestration & Version ControlOperating Airflow at scale, including DAG reliability, scheduling, and failure handlingVersion control, branching strategies, and release processesEngineering Best PracticeTest-driven development and automated testing within CI/CD workflowsDefining and enforcing standardised engineering patterns across a shared codebaseOperational reliability, including monitoring, structured logging, alerting, and systematic failure recoveryDesirablePySparkExperience supporting Airflow in a self-managed environmentExperience in a business building a data platform from the ground upWorking ArrangementsThis is a hybrid role based in the UK, with an expectation of two days per week onsite. Applicants must hold existing right to work in the UK; sponsorship is not available for this position.McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.McKesson job postings are posted on our career site: careers.mckesson.com.SummaryLocation: LondonType: Full time

With strong backing from the business and genuine enthusiasm for AI adoption across the organisation, they’re investing in a Senior AI Engineer who will play a pivotal role in taking AI solutions from concept through to production. As a Senior AI Engineer, you’ll combine strong full-stack engine

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.Senior Software Engineer (Onboarding)London Office - Hybrid: 4 days in the office, 1 day working from homeEbury is seeking exceptional and highly motivated software engineers to join our engineering division in London. This is an opportunity to make a significant impact within a leading FinTech firm. As a Senior Software Engineer, you will be an integral part of our team from your first day, contributing to mission-critical projects and deploying production code within your first week.As a Senior Engineer, you will have significant responsibility, agency, and ownership of large, mission-critical services, products, and platforms. We are committed to identifying and nurturing future technical leaders, for those whodemonstrate exceptional performance and aptitude, we offer an accelerated path for career progression.What We OfferA competitive salary, performance-based bonus, and a comprehensive benefits package.A structured career development path with dedicated mentorship from senior engineers and clear opportunities for advancement.The opportunity to work on complex, intellectually stimulating projects that have a significant and measurable business impact.A dynamic, inclusive, and high-performance work environment within a leading, high-growth global FinTech company.The opportunity to build and contribute to critical projects from day 1.Key ResponsibilitiesDesign, develop, test, and deploy high-quality, scalable software solutions for our global financial platform. Collaborate effectively with cross-functional teams, including product managers, designers, and other engineers, to deliver robust features and products.Participate in the full software development lifecycle, from initial ideation and technical design to deployment and operational maintenance.Contribute to technical discussions and architectural design reviews, helping to shape the future of our technology stack.Uphold and enhance engineering best practices through rigorous code reviews, automated testing, and adherence to continuous integration/deployment (CI/CD) principles.We encourage you to leverage the latest AI tools to augment your skills and accelerate your learning. We champion their responsible use, emphasizing that you must be able to fully understand and own any code or solution you developRequired QualificationsA Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related technical discipline, with a strong academic record.You’ll probably have over 7 years of experience as a software engineer writing production-grade code, but competency, attitude, and ability matter more to us than a number.Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis.Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc).Strong analytical and problem-solving skills, with the ability to approach complex challenges in a structured manner.Excellent communication and interpersonal skills, with a commitment to working effectively within a collaborative team environment. Desirable AttributesPrior internship experience in a software development role.Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.#LI-JB1About usEbury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.

Role Summary We are seeking a highly motivated Credit & Rates C++ Engineer to join our Fixed Income Technology team in London. This role sits directly alongside Traders and Sales across the European Government Bonds, EUR/GBP Rates, and Credit businesses, offering the opportunity to work at the center of a fast-paced global trading environment. You will partner closely with Trading, Quantitative Research, and global Technology teams to design, build, and support high-performance trading, analytics, pricing, risk, and data systems that power a growing credit and rates platform. This role is heavily focused on production-level C++ development and requires strong product knowledge or hands-on experience across rates, credit, fixed income, derivatives, or closely related trading products. Products may include government bonds, corporate bonds, interest rate swaps, bond futures, SOFR/SONIA/EURIBOR products, CDS, credit indices, repo, inflation products, swaptions, and fixed income ETFs. This is an opportunity to contribute to a team building next-generation Credit & Rates Technology, where engineering quality, ownership, and close business partnership are highly valued. Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available. Responsibilities Build, maintain, and support high-performance trading and analytics systems primarily in modern C++. Develop systems supporting credit and rates products, including government bonds, corporate bonds, swaps, futures, CDS, credit indices, repo, inflation products, swaptions, and fixed income ETFs. Work closely with Traders and Sales across EGB, EUR/GBP IRS, and Credit desks to deliver front-office technology solutions. Partner with Quantitative Researchers and global Technology teams to turn trading requirements, research ideas, and models into production systems. Build tools and libraries for pricing, curve construction, spread analytics, risk, portfolio analytics, execution workflows, and P&L attribution. Develop high-performance, low-latency, multi-threaded applications in C++. Contribute to the architecture and design of distributed trading systems. Work with real-time market data, reference data, curves, ratings, index data, trade data, quote data, and execution data. Support electronic trading workflows including RFQ, dealer streams, venue connectivity, execution analytics, trade capture, and post-trade analysis. Analyze complex business and technical problems and implement scalable, maintainable solutions. Improve system performance, reliability, monitoring, and operational tooling. Provide timely production support for business-critical trading systems. Collaborate with teams across London, Paris, and New York. Qualifications Strong professional experience building production systems in C++, with C++ as the primary programming language in recent roles. Strong product knowledge or hands-on experience across rates, credit, fixed income, derivatives, systematic trading, or related trading products. Familiarity with products such as government bonds, corporate bonds, swaps, futures, CDS, credit indices, repo, inflation products, swaptions, or fixed income ETFs. Experience building trading, pricing, risk, analytics, market data, execution, or financial technology systems. Strong understanding of multi-threaded application design, distributed systems, data structures, algorithms, memory management, and system design. Ability to work directly with Traders, Sales, Quantitative Researchers, and Engineers in a fast-paced front-office environment. Highly adaptable with a proactive approach to leveraging AI tools to enhance productivity, decision-making, and innovation. What We Offer Direct access to front-office users and the chance to build systems used every day by credit and rates trading desks. Work on technically challenging problems across pricing, risk, market data, execution, and analytics. Close collaboration with engineering, trading, and quantitative research teams across London, Paris, and New York. Competitive compensation and benefits. A team environment that values ownership, strong engineering standards, and practical problem solving. In accordance with applicable law, the base salary range for this role is $175,000 to $350,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleThis is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.Key responsibilitiesReliability & Platform OwnershipOwn the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.Define and operationalise SLOs, SLIs, and error budgets across platform services.Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.Partner with ML, platform, and software teams to establish clear production readiness standards.Incident Response & On-CallParticipate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.Lead incident triage, escalation, communications, and root cause analysis.Translate post-incident learning into durable architectural or automation improvements.Continuously reduce alert noise and recurring operational burden.Observability & Operational ExcellenceDesign and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).Improve deployment safety through better change management, validation, and rollback mechanisms.Automation & ToolingBuild automation for cluster operations, training workflows, remediation, and scaling tasks.Implement self-healing patterns and resilient recovery workflows.Harden CI/CD and release processes to improve deployment safety and velocity.Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.About youIn order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.Essential skillsProven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.Experience operating GPU-backed environments or large-scale ML infrastructure.Experience running model training or inference pipelines in production (MLOps).Strong Kubernetes experience, including operating production clusters.Hands-on experience running production workloads in AWS, GCP, or Azure.Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.Desirable skillsFamiliarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.Experience as an early or founding SRE hire establishing processes from scratch.Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Accurx is where conversations happen with and about patients.For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication.What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices.Our platform now powers Total Triage to manage patient demand, and Self-Book,which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with Accurx Scribe, our AI-powered note-taker that drafts medical notes in real-time.The teamWe are a mission-driven team of 80 engineers based in London and the surrounding areas, united by the challenge of fixing healthcare communication. We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need.We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform. Within this ecosystem, our teams operate with high autonomy, owning everything from initial system design to long-term service stability.As a Senior Analytics Engineer, you'll sit at the intersection of our Data Engineering, Product, and BI teams, expanding our data modelling and self-serve capabilities, and building the foundations that turn data from a support function into a strategic asset.Challenges you'll solve…You will own and evolve the presentation layer of our Snowflake data warehouse, modelling complex healthcare and health tech domains end-to-end using dbt.You will design and build high-impact data models using advanced methodologies — translating real-world operational domains into scalable analytics blueprints that teams can trust.You will partner closely with BI and Analytics teams to understand complex business requirements and deliver production-grade models that fuel actionable insights.You will continuously improve data model performance and Snowflake warehouse design, prioritising compute efficiency, scalability, and a seamless experience for end users.You will set, uphold, and scale standards for data quality, automated testing, and documentation within dbt — making our core data assets something the whole organisation can rely on.You will champion self-serve analytics, training and empowering non-technical colleagues to confidently explore and leverage data through our BI tools.You will mentor teammates, share advanced modelling knowledge, and contribute to a strong engineering culture through rigorous code reviews, sprint planning, and open collaboration.You will support strategic data initiatives — collaborating across engineering teams to propose smart, scalable solutions and drive data infrastructure automation where it matters most.You should apply if…You have strong, proven experience as an Analytics Engineer within a modern data team, with advanced skills in SQL, Snowflake, and dbt (Core or Cloud). Experience with data ingestion tools like Fivetran or custom Python pipelines is a bonus.You bring hands-on data modelling expertise, Dimensional Modelling, Star Schemas, Data Vault, or OBT, and know how to translate complex real-world domains into clean, scalable analytics blueprints.You are comfortable working with cloud environments (specifically Azure), software engineering best practices like Git and CI/CD, and data governance frameworks including PII management and secure data access.You have successfully driven self-serve analytics adoption across cross-functional teams, and can communicate complex technical architecture clearly to any stakeholder — from analysts to senior leadership.You actively leverage AI tools to automate routine tasks and continuously explore ways to integrate AI into your workflows, improving quality and speed.What’s in it for me?You'll be joining an established but fast-growing Tech for Good movement, where we're led by our Principles and our mission to Fix Healthcare Communication85,000 - 105,000 salary + share options up to 30,000Benefits to suit you:adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in lifeFlexible Working: We are an office first culture and ask that you’re in our (dog-friendly) Shoreditch office 3 days a week, with core hours of 10am - 4pmTime off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per yearFamily matters: We offer enhanced parental leave, fertility support and parental loss supportWe have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!Want to know more about the company? Check out our Careers page and Candidate hub. Or want to find us across social media? Visit our sites hereCompensation Range: 85K - 105KLocationLondon (Shoreditch)Employment TypeFull timeLocation TypeHybridDepartmentProduct & TechnologyDataCompensationOffer Range 85K – 105K

Senior .NET Software Engineer (TDD & Agentic AI Workflows) | Up to 80,000 | LondonI'm recruiting on behalf of a well-established UK insurance broker (17 years in business, freshly invested in to grow into new markets) who need a brilliant .NET engineer to join as their second senior hire.The mission: drive proper test-driven development and strong unit-testing practices across the team, then use that foundation to build an agentic AI workflow - where engineers write clear requirements and tests, and AI agents handle implementation, raising pull requests the team can actually trust. You'd still be hands-on, building and maintaining core software alongside leading this initiative.What you'll be doing:Championing TDD and unit-testing best practice across the teamDesigning and rolling out an agentic AI workflow, including server-side AI code review and quality checks wired into CI/CD and GitHubAnalysing existing codebases for risks and improvement opportunitiesWorking with stakeholders to translate business needs into technical solutionsDeploying to AWS with a focus on scalability, security and reliabilityWriting clean, well-tested, well-documented codeSupporting monitoring, alerting and production troubleshootingWhat's on offer:20 days' holiday, rising to 25 with serviceGenuine influence over engineering culture and practices from an early stageA close-knit team spanning the UK and IndiaLocation: London (hybrid/occasional WFH)Level: Senior - second engineering hireOscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy.To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

This role offers a competitive package, hybrid working (1 day a week in the London office, typically Thursday), 28 days holiday a year plus Bank Holidays and 11% pension from the second year!Salary 75,000 - 83,000 per annumLocation: London/Hybrid (1 day a week in the London office, typically Thursday)*We're keen to find individuals with an outcome-driven mindset: Your CV should showcase the outcomes you've achieved, not just the technologies you've worked with. Tell us how you've improved customer experiences, solved business problems, simplified complex challenges showcasing with metrics where possible.*About the roleWe are hiring a Senior Product Engineer for our AI Squad at Which?. You will play a key role in building and maintaining Ask Which?, while developing reusable AI platform capabilities, services, and tooling that enable AI-powered experiences across Which?. We are seeking experienced Full Stack AI Engineers with a proven track record of designing, building, and operating production AI applications and services. Ideal candidates will have experience developing AI-powered applications and reusable AI platform capabilities. They should be proficient in integrating LLMs, AI services, and third-party APIs, with experience building scalable, event-driven, and asynchronous cloud-native solutions.Our Engineering Manager and Lead Product Manager have put together this short video to give you more detailWhat kind of work might I do?Software Development and Technical Direction: Write high-quality software and automated tests, contribute to software design, and ensure solutions meet high standards for performance, security, reliability, and fault tolerance. This role focuses on building and enhancing Ask Which, alongside developing reusable AI platform capabilities, services, and APIs. You will own the delivery of AI solutions, champion the use of cloud-native AWS AI technologies, and contribute to technical decisions that shape the evolution of Which? 's AI platform.Collaboration: Working with your squad and stakeholders to set up and plan quarterly OKRs that drive the success of AI Squad offering. You will ensure your Squad's work on the AI Platform is aligned with the wider strategy and commitments.Operational Excellence: Setting high standards and driving engineering best practice across the AI platform stack. This includes focusing on observability (monitoring, logging, tracing) for the cloud-native solution, participating in peer reviews, and facilitating the maintenance of engineering standards, reliability, and performance.Squad Empowerment: Contributing to a culture of creativity, curiosity, collaboration, inclusion and innovation within your Squads as you adopt new technologies and practices for AI Platform.Champion Platform Ownership: Take ownership of both Ask Which and the reusable AI platform capabilities you build, ensuring they are secure, reliable, scalable, observable, and easy for product teams to adopt.What do we expect?You will provide a high level of technical expertise and leadership within your squad. We are specifically looking for people who have the following characteristics:Technical Expertise: You are an experienced Full Stack AI Engineer with expertise in designing and building production-grade, cloud-native applications. You have strong knowledge of TypeScript (Node.js and React/React Native), AWS, Terraform, and building robust RESTful APIs and scalable distributed systems. You are experienced in integrating LLMs, AI services, and third-party APIs, and designing event-driven and asynchronous architectures. You will apply this expertise to build and enhance Ask Which and develop reusable AI platform capabilities.AI-Native Engineering: You will champion the use of agentic workflows to accelerate delivery across the AI platform. As an AI-fluent leader, you will leverage GitHub Copilot as a primary partner to automate testing, streamline implementation, and minimize cognitive overhead, ensuring your focus remains on solving our most complex architectural and product puzzles.End-to-End Use Case Ownership: You will take full ownership of the end-to-end use cases for the AI platform. This includes designing, implementing, and taking responsibility for the AWS infrastructure, deployment, and observability across the new stack.External Integrations Expertise: You will be instrumental in integrating with external partners and 3rd party APIs at scale, leveraging your strong knowledge of event-driven and asynchronous flows.Strategic Problem Solver: You will be taking on the most challenging engineering problems facing your squad, and in some cases this will involve driving a team of engineers towards delivering a successful outcome. You focus on solving problems pragmatically while adding value to the product.Data-driven and impact-focussed: You will always have our customers/users in mind, ensuring any features or changes you build can be proven to have a positive impact (quantitatively or qualitatively). You will regularly review data to identify and suggest potential improvements.Collaborative: You will be working within a multi-disciplinary squad focused on specific outcomes. You are responsible for collaborating on discovery work and ideation and working with other squads to drive better overall products.Curious and Proactive: You will never be happy with the status-quo, constantly looking for ways to improve the product, whether through technology or by changing internal processes and practices.Technical Mentorship & Stewardship: You support the Tech Lead Manager in mentoring and growing the other engineers in your squad, considering the bigger picture of your development work, including testing, code quality, performance, security, production environment, user experience, and Product vision.For a full list of essential requirements, please refer to the role profile, which can be downloaded as a PDF at the bottom of this advert. How might I progress my career?At this level you will initially start on the technical leadership track, where you can take on increasingly hard problems with increasing span of ownership and influence and working towards a Staff Engineer role, but there will also be opportunities to shift onto the engineering management track, taking on line management responsibilities and working towards becoming an Engineering Manager with a progression route to Head/Director level roles.Interview ProcessMeet one of our Engineering Managers via MS Teams (approximately 30 minutes) - Opportunity for you to learn more about the role, answer any questions you have, and provide some examples of providing technical direction across multiple teams and driving product outcomes through technology.Technical Take home Test (To be completed in TypeScript)System Design & Technical Interview via MS Teams (90 Mins)We also have these benefits for you to consider: 35 hour working weekGenerous 28 days holiday a year plus bank holidays and the option to buy additional holiday daysExcellent pension scheme – when you pay in 3%, Which? pays in 6% (rising to 11% after one year of service) Annual Award (depending on employee and company performance)Healthcare insurance & Private medical insurance and opportunity to participate in Vitality rewards programme (at 6 months)A discretionary death in service benefit provision equivalent to six times your annual salaryFree access to Which? member content and free access to Which? money & legal helplines Free wills for all Which? employees, plus, partners of employees can make their will at cost price.Discount site Pluxee which offers large %% off every day shopping and holidaysWork from (almost) anywhere” for 4 weeks of the year policyAbout Which?Which? is the UK's consumer champion, here to make life simpler, fairer and safer for everyone. You can find out more about what we do, our people and culture as well as hints and tips on how to complete your application on our Careers site.We're proud to be ranked 3rd in the ‘Top 25 Inclusive Employers' List 2024. We welcome applications from everyone, because we value diversity, and are committed to maintaining an inclusive culture where all can thrive and reach their full potential—because diverse perspectives help us better understand and positively impact consumers.As a Disability Confident Leader, we ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them. For this or any other assistance you need with applying (i.e., would like to apply by phone or post), email recruitment@which.co.uk. Find out more about the Disability Confident Interview Scheme here.Please note:You must meet the essential criteria listed within the Role Profile, to have your application reviewed. Applications should be submitted via our online careers site, we are unable to accept applications by email. However, if you require an alternative application method as a reasonable adjustment, please contact us using the details above.We reserve the right to withdraw this advert at any given time due to the number of applications received.Senior Engineer- FullStack -AI Squad - July 2026.pdf

Company descriptionAbout Profitero+Profitero+ is a leading global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate and automate their next best action to fuel profitable growth. Our technology monitors 80+ million products daily, across 1400+ retailers and 70+ countries, helping brands optimise search placement, product content, pricing, stock availability, reviews and more. News outlets, including Good Morning America, The Wall Street Journal and Ad Age frequently cite and trust Profitero as a source of data for their stories. Now’s an exciting time to join our fast-growth business.Profitero+ joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment while giving our employees an incredible launchpad for their careers. Profitero’s tech and data combined with Publicis’ tech, data and activation services positions us to be a true end-to-end partner for helping brands maximise eCommerce market share and profits.Come be a part of our fast-paced, entrepreneurial culture and next stage of growth.OverviewLocation: Reading and London hybrid flexibleExperience: 3+ Years with AIWe are unable to provide sponsorship for this job vacancy.Role Overview:We are seeking a highly skilled and motivated Senior AI Agent Engineer with a strong background in building agentic AI applications and workflows. The ideal candidate will have proven expertise in utilizing Large Language Models (LLMs) such as Claude, OpenAI's GPT series, Google Gemini, and other similar technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, taking AI/LLM models from prototype to production to power Profitero+ products and internal tools. ResponsibilitiesDesign, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar).Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization.Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search.Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems.Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration.Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations.Implement testing, evaluation and monitoring strategies for agentic systems to ensure performance, reliability, and safety, and effective reasoning, tool usage, and failure handling.Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions.Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products.Contribute to the architecture and technical roadmap of our AI initiatives.Mentor junior engineers and share knowledge within the team.QualificationsBachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications.Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks.Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-4, etc.), Google Gemini, or other prominent generative AI models.Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems.Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar).Practical experience with RAG architectures, embeddings, vector databases, and semantic search.Experience working with Model Context Protocol (MCP) Servers.Experience with RESTful APIs and integrating external services.Solid understanding of software development best practices, including version control (Git), testing, and CI/CD.Experience with Snowflake is a plus.Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.Strong communication skills, both written and verbal. Additional informationThe above lists are not exhaustive and the job holder is required to undertake such duties as may reasonably be requested within the scope of the post.Why you want to work at Profitero+:We want our employees to have an opportunity to share in the success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience.We hire only the best and provide the compensation and benefit programs appropriate for proven top-performing professionals.Our package includes; competitive base salary; employee healthcare; life assurance; group income protection; dental care plan; eye care scheme; 24 hour on-line GP; company pension; cycle to work scheme; 25 days off + bank holidays + birthdays off; reduced gym membership; social events; employee referral scheme; personal development plans; Profitero Hero scheme; flexible working hours.Profitero+ is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive fair consideration for employment. Profitero recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected characteristics as required by applicable law.Be part of a company on the forefront of eCommerce revolution where you will learn a lot and be a catalyst to turbo-charging your skills, experience and career.#LI-SK1#HYBRID

Senior Software Engineer - Privilege Platform Location London Business Area Engineering and CTO Ref # 10051558 Description & Requirements Would you like to be part of Bloomberg’s Platform mindset transformation?Our role based access control (RBAC) system is evolving into a comprehensive Privileging Platform - a transformation driven by the increasing demand for consistency, interoperability, and seamless client workflows across our suite of enterprise trading and analytics offerings (AIM, PORT, MARS, TOMS, etc). We strive to accommodate diverse product workflows and privileging schemes while ensuring standardization and transparency within a unified client experience. By leveraging the robust foundation of our core role based platform, we aim to empower our clients to seamlessly manage their user’s access, permissions, and resources across the entire enterprise domain.While the primary C++20 RBAC service already receives billions of hits per day, we intend to enhance the system further by evolving it into a true platform - one capable of handling the privileging needs of the wide array of enterprise products available today. To succeed, we will divide our system into more granular modules, focus on reliability, improve scalability, and design/enforce clear interfaces for data access. Building a privileging system for client trading and analytics environments is a challenging task which combines the need for technical expertise with product awareness to design appropriate system architectures, data models, low latency processes, and intuitive client workflows.If you're looking for a role where you can start making impact on day 1 within a passionate technical team who is excited to work on business-critical projects and evolve our infrastructure, contribute to the team's culture and growth, and find ownership in the system that you're building -- this position is the right one for you!What’s in it for you?An opportunity to make a company-wide impact in the newly formed Enterprise Products Platform department by redesigning the core permissioning systemWork on a high-load and performance critical system while expanding your knowledge and expertise in distributed systems and databasesCollaborate with many different teams and organisations towards a high impact goalWe'll trust you to:Take ownership of the full software development lifecycleWork directly with business counterparts to build applications that our clients use to tackle complex privileging problemsDesign, develop, and release high-quality, scalable and maintainable codeAdapt and introduce modern technologies both within and outside of Bloomberg that cultivates constant innovation to contribute to our system evolutionEmbrace collaboration and the process of working together as a team towards the same goal within an Agile environmentYou need to have:Professional experience programming in production environment using C++ or an equivalent object oriented programming language (e.g. Java, C#)A degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experienceAn understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving.Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.Experience building highly available high throughput distributed systemsA strong sense of ownership and an ability to work independently while navigating uncertaintiesCuriosity and passion for understanding complex products and learning new technologiesExperience covering the full software development life cycle, including technical design, implementation and project management aspectsWe’d love to see:Modern C++ experienceExperience working with relational databasesMentorship experienceExperience in scalability, load balancing, performance optimization, fault tolerance and high availability, auto-scaling, caching strategies, resource isolation, monitoring and logging If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Job DescriptionOur development team is working on modernising the trading platform using React, Micro services, AWS technical stack while maintaining the current trading platform. We need a senior Java developer who has worked on applications which are built using AWS SaaS/PaaS platforms following Micro services architecture. This is an opportunity for an enthusiastic software engineer to join the MarketAxess development team as a senior developer working on our trading platform. This role will be responsible for a spectrum of assignments from working on new products, system and product enhancements, and systems architecture to bug fixes. We are seeking skilled technologists who have strong technical skills as well as the leadership characteristics required to guide others from a technical perspective. This position will require that the candidate work together not only with other technologists but, over time, also with business colleagues in the development of the system. The team follows agile methodology with self-organizing teams where every individual is empowered to take critical decisions.What You'll DoDevelop new functionality and maintain the company's trading platform.Initiatives include product enhancements and new workflows for trading, and server-side programming and messagingPerform above duties utilizing Java, AWS, Spring Boot, Gradle, Redis, PostgreSQL, Oracle.Improve the scale and performance of the growing systemCoordinate with business analysts and quality assurance on a daily basisPresent technical designs of work performed to the various groups (including Development, QA, BA and the business)Production support, including investigating and fixing production issuesQualificationsShould have hands-on experience on core Java and AWS.8+ year’s delivery experience of enterprise applications within the Java development stack.Delivery experience of re-engineering legacy programs to distributed systems would be a bonus.Implementation experience in application server clustering, performance tuning and scalability testing to support high throughput, moderate latency, high availability systems. Experience including analysis, design, coding and implementation of large-scale custom built object-oriented applications.Strong OO design knowledge, including extensive design patterns knowledge.Excellent Core Java skills, Enterprise RDBMS (Oracle, PostgreSQL)Experience with container-based event-driven micro services architecture using ECS, Spring Boot, and REST API.Proven record with AWS services – ElastiCache, Kafka, Kinesis, Lambdas, IAM, API Gateway, Cloud Formation.Extensive experience in multi-threaded programmingExperience working with FIX messagingExperience working in Agile EnvironmentDelivery experience using continuous integration – ideally JenkinsWorking within (and knowledge of) the financial industry.Additional InformationLanguagesEnglish as a requisite, additional languages would be advantageousSummaryType: Full-timeFunction: Information Technology

My client is looking for a Senior Optical Design Engineer, focused on production-based optical systems. This covers Zemax design and lens development. The ideal Senior Optical Design Engineer would bridge simulation, manufacturing and system performance. This is an onsite position based in London. Responsibilities Design and optimise optical systems using Zemax OpticStudio Develop lens designs, custom optics and beam shaping approaches Perform optical tolerancing and tolerance stack-up analysis Translate product requirements into optical performance targets and acceptance criteria Work closely with mechanical engineers on mounting, packaging and design for assembly Connect optical design decisions to manufacturability, cost and supplier capability Collaborate with optics suppliers on specifications, tolerances and feasibility Correlate simulation models with prototype data and assembly results Support production-focused development including cost reduction and quality control Review optical designs and contribute to technical decision-making Requirements 3–5 years experience in optical design and engineering Strong experience using Zemax OpticStudio for design and tolerancing Experience with lens design for optical systems or camera assemblies Understanding of tolerance stack-up and system-level performance Experience linking optical design to manufacturing, cost and assembly constraints Ability to assess thermal and mechanical impacts on optical performance Experience working with optics suppliers and production environments Strong communication and documentation skills Experience using Python for analysis or modelling If you’re interested in the position of Senior Optical Design Engineer, please apply or contact Ella Flynn for more details.

You will join our Data team as a senior analytics engineer modelling raw data and turning it into production ready tables for stakeholders and AI products that underpin the decisions that shape our business.This is a high-impact role at the heart of a fast-growing healthcare scale-up — one where t

As a Field Service Engineer ( Central London ), you will be responsible for maintaining, repairing, and servicing a range of Canon Production products including toner mono and colour products, controllers, 3rd party and Canon pre and post equipment at customer sites. Your role will require you to diagnose faults, install equipment, both onsite and remotely whilst providing excellent customer service. You will play a crucial role in ensuring that our clients experience minimal disruption to their production through the effective maintenance and repair of their Production Print equipment. At Canon, we’ve been inspiring people to capture and share their world for over 85 years. As a global leader in imaging and innovation, we’re driven by bold ideas, collaboration, and a commitment to making a positive impact. We’re proud of our diverse, inclusive culture and our philosophy of Kyosei – living and working together for the common good. We welcome applicants from all communities and backgrounds. Why Join Us? • Be part of a diverse, energetic team, joining 50+ nationalities at our Stockley Park Head Office • Enjoy hybrid working (3 days in office, 2 from home) • Benefit from flexible hours, professional development, and a wide range of perks • Minimum of 25 days of personal holiday per year with up to 5 days of available holiday purchase • Access a competitive salary, benefits, a generous pension scheme and up to 38% discount on Canon products • Be part of a company that values sustainability, inclusion, and your personal growth • Great transport links- Elizabeth Line and Stockley Park low-cost Shuttle Bus and free parking on site If you are ready to make an impact – we’d love to hear from you. To be successful in this role of a Field Service Engineer you will demonstrate the following skills and expertise:Skills & ExperiencePrevious/demonstrable experience as a field service engineer or in a similar roleStrong mechanical and electrical troubleshooting skillsGood understanding of IT/networking for device connectivityExperience and understanding of print industry - desirable Excellent communication and customer service skills. Valid driver’s license and willingness to travel. An understanding and awareness of company policies and Health & Safety Guidelines, including product safety checks.Basic IT qualification - AdvantageousNVQ or equivalent in an electrical and/or mechanical discipline - highly advantageousCanon Core BehavioursDrive for resultsFocus on the CustomerTake ownership and accountabilityAct as a team playerShows courage and convictionPeople orientatedCaring for self and othersThe salary for this role is up to 35,273 (d.o.e.) London Allowance, 25days a/l (not inc b/h), Pension, plus other additional corporate benefits Location – Central London#LI-AS3As the Field Service Engineer, you will have the responsibility of providing a service in first line trouble shooting (root cause of problems) on Canon Professional Print equipment, working to strict service level agreements. You're key responsibilities will include but not be limited to:On-Site Service and Repair:Diagnose technical faults and provide solutions, minimising downtime for customers. Achieve a high first-time fix rate and minimise downtime with the most cost-effective use of time and parts. Maintain ownership of RTFs to ensure consistent communication across all parties ensuring that every call is completed in a timely manner. Utilising remote tools to support incident avoidance, preparation, and remote monitoring of device performance. Make informed decisions to escalate when appropriate adhering to the escalation process to minimise the down time of devices and impact on customers, ensuring accurate records of maintenance and repair.Installation and Setup:Install and configure new devices at customer premises, ensuring full functionality and customer satisfaction. Provide customer product instruction and training including how to install/advise how to configure/network device as per installation services (Product Specific) Conduct user training sessions on the proper use and maintenance of devices. On request be part of project teams for large complex installationsCustomer Service:Act as the face of the company while on-site, always ensuring a professional and friendly demeanour. Provide clear communication to customers about the status of repairs or installations. Offer technical advice and answer customer queries to help optimise their use of the equipment. Parts Management:Identify and order spare parts promptly and cost-effectively, with clear and accurate requirements, recording debriefs accurately and promptly. Maintain essential stock and manage inventory to control costs and support uptime. Carry out regular stock checks, SAPO and scheduled activities to keep organised and maintain the right parts for devices in your service area to maintain first time fix rates. Return unused and obsolete parts as per the returns process and non-moving stock targets in a timely manner to mitigate CEL charges. Utilise spares escalation process for high urgency, business critical service incident.Reporting and Documentation:Complete service reports, documentation, and updates on job status using the company’s field service management system. Use online tools such as ADAM to record all service information. Provide feedback on recurring issues to the Service Manager for proactive problem resolution. Compliance and Safety: Ensure all repairs and maintenance activities comply with industry standards and safety regulations. Conduct work in accordance with health and safety guidelines, ensuring safe practices are followed on-site. Continuous Improvement: Stay up to date with industry trends, new products, and technological advancements. Participate in ongoing training and development programs to enhance your technical skills and knowledge. Full timePosting Date: 2026-08-10

At ORONA, we are global leaders in the design, manufacture, installation, maintenance and modernisation of lifts, escalators, moving ramps and walkways. Operating in over 100 countries, with 330,000 lifts worldwide using our technology and 2 manufacturing plants, we are proud to be Number 1 in Europe for complete lift production capacity. \n \n The Role \n We are looking for a Lift Field Technician to join our Service Team covering East London and surrounding areas. You will be an experienced Service Engineer with an NVQ Level 4 in Lift Engineering and LEIA training. \n Key Responsibilities \n\n • Providing technical support using problem solving techniques to provide solutions and recommendations\n, • Testing lift modernisations\n, • Using your expertise to solve technical problems associated with lift/elevator call outs and repairs\n, • Supporting a team of Service Engineers using your experience of working with Orona and other lift products\n, • Obtaining and enhancing knowledge on a wide range of lift types and equipment\n, • Managing your time covering a geographical region working on your own initiative\n\n \n What We’re Looking For \n\n • Proven experience within the lift industry\n, • NVQ level 4\n, • Lift Types Knowledge - Reasonable understanding of all major competiors equipment.\n, • Problem Solving – able to identify problems, break them down into smaller elements, pin point possible solutions, prioritise these different elements and construct an action plan for tackling the problem.\n, • Full clean UK Driving Licence\n, • Right to Work in the UK (mandatory)\n\n \n If you are ambitious, safety-driven, and ready to take the next step in your lift engineering career, we would love to hear from you. \n Why Join ORONA? \n We offer more than just a job — we offer long-term career development within a stable and growing company. \n \n What We Offer: \n Attractive Salary: Competitive pay that reflects your skills and experience \n Generous Holiday Allowance: Enjoy 25 days of annual leave, increasing to 30 with service, and 8 public holidays \n Secure Future: Benefit from a pension scheme with increasing company contributions as you grow with us \n Peace of Mind: Life Insurance to support you and your loved ones \n Health & Wellbeing: Medical Cash Back Plan to help with health costs, plus access to 24/7 GP services \n Family-Friendly Benefits: Enhanced leave for family-related events and emergencies \n Support When You Need It: Employee Assistance Programme offering confidential support for personal or work-related challenges \n Eye Care: Eye care vouchers to help keep your vision sharp \n Recognition for Longevity: Long Service Awards to celebrate your milestones with us \n Referral Rewards: Earn a Recruitment Referral Fee by helping us find top talent \n Continuous Growth: Ongoing Training & Development opportunities to support your career journey \n Join ORONA and be part of a company moving the world safely and efficiently every day. \n Requirements \n NVQ level 4 and Clean Driving Licence

Data & AI Engineer - London (Hybrid) - Up to £50,000 \n We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. \n This is an opportunity to design, build and deploy enterprise-scale AI solutions, working alongside highly skilled engineers and data specialists to deliver innovative products for a diverse portfolio of organisations. \n Whether you're an experienced engineer looking to specialise further or you're ready to take on greater technical ownership and leadership, there are excellent opportunities for progression, learning and career development. \n \n The Role: \n You'll play a key role in designing, developing and deploying AI and Machine Learning solutions, working across the full ML lifecycle from data preparation and feature engineering through to model deployment and optimisation. \n Working with Python, SQL and leading ML frameworks, you'll build scalable pipelines, develop and evaluate models and help deliver cloud-based AI solutions across Azure, AWS or GCP. You'll also contribute to MLOps practices, support production deployments and work with both structured and unstructured datasets. \n You'll collaborate closely with engineers, data professionals and business stakeholders to turn requirements into practical AI solutions, while keeping up to date with emerging technologies including Generative AI and Large Language Models. \n \n Required Experience: \n \n\n • Commercial AI or Machine Learning experience.\n, • Strong Python and SQL skills.\n, • Experience with TensorFlow, PyTorch or similar frameworks.\n, • Understanding of machine learning and model deployment.\n, • Experience with Azure, AWS or GCP.\n, • Knowledge of data pipelines, ETL and MLOps.\n, • Strong analytical and problem-solving skills.\n\n \n What Do They Offer? \n \n\n • Salary up to £50,000.\n, • Hybrid and flexible working.\n, • Modern AI projects using the latest technologies.\n, • Clear career progression.\n, • Competitive benefits package.\n\n \n If you're a data-driven professional looking for your next challenge, it'd be great to hear from you. \n Drop me an email at \n \n All candidates must be available to travel on-site at least 3 days a week. To be eligible for this role you're required a full, unrestricted right to work in the UK. \n \n \n

Applied AI Scientist\n Location: London \n We're looking for a hands-on Applied AI Scientist to design, build and deploy real-world AI solutions in complex, constrained environments. This is a senior technical role focused on delivery and impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing\n \n \n\n • Designing, building and deploying AI/ML solutions end-to-end\n, • Working closely with users to translate real-world problems into technical solutions\n, • Developing models using production-grade Python\n, • Deploying AI solutions in secure, offline/air-gapped environments\n, • Working with GPU hardware for training and inference\n, • Optimising performance, scalability and system resilience\n, • Influencing technical direction through delivery and expertise\n, • Sharing knowledge and supporting continuous learning across the team\n\n \nWhat we're looking for\n Essential: \n\n • Strong experience as an Applied AI Scientist/Data Scientist\n, • Excellent Python engineering skills (production-level)\n, • Experience building and deploying AI solutions without reliance on cloud-managed services\n, • Solid understanding of modern AI/ML techniques\n, • Experience with GPU-based model training/inference\n, • Ability to work independently and own delivery end-to-end\n, • Strong problem-solving skills and stakeholder engagement\n\n Nice to have: \n\n • Experience in secure or air-gapped environments\n, • Experience with edge or constrained systems\n, • Background delivering AI in real-world operational environments\n, • Ability to influence technical decisions without formal authority\n\n \nWhy join?\n \n \n\n • Work on complex, real-world AI challenges\n, • High-trust, collaborative environment focused on impact\n, • Opportunity to shape solutions in cutting-edge, constrained environments\n\n If you're a hands-on AI engineer who thrives on solving real problems and delivering impact, apply now. \n Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.