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Defence Security Assurance Lead Permanent | Belfast or London (Hybrid) | SC Held, DV Eligible Morela is hiring a Defence Security Assurance Lead for a fast-growing UK sovereign AI scale-up. This is a permanent, full-time role, hybrid from either Belfast or London with travel to customer sites, reporting into the Security Lead. You will need active SC clearance and be eligible for DV. On offer is a competitive salary, pension, equity options and one of the most generous working patterns you will find anywhere. About the Client Our client builds a sovereign AI platform for organisations that can't compromise on security, including defence, national security, central government, policing and heavily regulated industries. They deliver real capability into some of the UK's most sensitive environments, so every feature is threat modelled, hardened and properly assured before it goes near customer data. Security is central to the business and is now getting serious investment. The company is scaling a dedicated assurance function to match its growth in defence, and this hire is one of the founding roles in it. The Role You will own cyber assurance for the products and services delivered to the MOD and to allied defence and national security customers. Your job is to build the evidence-led assurance that customer risk owners depend on, applying Secure by Design for both UK and international partners. You will work with engineering, product, IT, commercial and leadership, and directly with customers and assurance authorities. The scope is broad and will change as the business grows, so it suits someone curious and self-driven who wants a real hand in shaping a security function and a direct influence on new capability for defence. Responsibilities Lead Secure by Design for the product across defence deployments, in line with JSP 440 and JSP 453 Develop assurance cases using a claims, arguments and evidence approach, built to keep pace with rapid agile delivery Assure AI-enabled capability against JSP 936 and the wider MOD framework landscape Apply NIST CSF, RMF, AI RMF and SP 800-53 where they fit Act as the main point of contact for customer risk owners and cyber assurance authorities Help shape and deliver the overall security strategy, and play a key part in building out the security function as the business grows Champion good security practice across engineering teams Essential Requirements Security assurance experience within UK defence or national security, with hands-on application of Secure by Design Working knowledge of JSP 440 and JSP 453, plus awareness of DCPP and Def Stan 05-138 Experience turning technical evidence into robust assurance cases Threat modelling on live systems using STRIDE, attack trees or similar methods CISSP certification Active SC clearance and eligibility for DV Desirable Experience Experience assuring AI or machine learning systems, or knowledge of JSP 936 Understanding of AI attack types such as prompt injection, data poisoning and agent tool misuse, including MITRE ATLAS Familiarity with NCSC secure AI guidance and the UK AI Cyber Security Code of Practice Structured assurance notations such as CAE or GSN, ideally linked to machine-readable evidence Assurance work in air-gapped or classified environments Running, auditing or developing ISO management systems such as ISO 27001 or ISO 42001 Working Environment Permanent, full-time, hybrid from Belfast or London, with travel to customer sites Competitive salary, company pension and equity options in a high-growth scale-up A working pattern that gives back around 30 extra days a year on top of annual leave, with full four-day weeks over the summer and December, regular paid Fridays off and early Friday finishes Cutting-edge AI tools used as everyday working kit A delivery-first culture that values impact over optics and people over politics, with real influence on how the business runs as it grows Interested? Get in touch with Adam Moore at with your CV and current availability. TPBN1_UKTJ

Role: Warehouse / Equipment Hire Operative (with 3.5T Van Driving) \n Location: Feltham, West London \n Salary: £13.50 per hour \n Pay Frequency: Weekly pay \n Hours: 8:00 AM - 5:00 PM, Monday to Friday \n About the Role: \n An established tool and equipment hire business based in Feltham is seeking a reliable, hands-on Warehouse / Equipment Hire Operative. This position supports construction, trade, and landscaping clients, ensuring machinery and tools are prepared, checked, and ready for deployment. \n Key Responsibilities: \n * Equipment Prep: Clean, check, and organise tools and machinery ready for hire. \n * Logistics & Driving: Safely load/unload vehicles and operate a 3.5T van as required. \n * Returns Processing: Inspect and check in equipment when returned to the yard. \n * Depot Operations: Keep the warehouse and yard tidy, safe, and organized. \n * Health & Safety: Strictly follow site safety procedures at all times. \n Requirements: \n * Valid UK Driving Licence (Class B). \n * Reliable, punctual, and comfortable with physical, practical duties. \n * Excellent attention to detail and teamwork skills. \n * Previous experience in a warehouse, yard, or equipment hire role is preferred.

Role: Warehouse / Equipment Hire Operative (with 3.5T Van Driving) Location: Feltham, West London Salary: £13.50 per hour Pay Frequency: Weekly pay Hours: 8:00 AM - 5:00 PM, Monday to Friday About the Role: An established tool and equipment hire business based in Feltham is seeking a reliable, hands-on Warehouse / Equipment Hire Operative. This position supports construction, trade, and landscaping clients, ensuring machinery and tools are prepared, checked, and ready for deployment. Key Responsibilities: Equipment Prep: Clean, check, and organise tools and machinery ready for hire. Logistics & Driving: Safely load/unload vehicles and operate a 3.5T van as required. Returns Processing: Inspect and check in equipment when returned to the yard. Depot Operations: Keep the warehouse and yard tidy, safe, and organized. Health & Safety: Strictly follow site safety procedures at all times. Requirements: Valid UK Driving Licence (Class B). Reliable, punctual, and comfortable with physical, practical duties. Excellent attention to detail and teamwork skills. * Previous experience in a warehouse, yard, or equipment hire role is preferred

Divisional Lead Engineer (Digital & AI) Cardiff / Hybrid (3 Days Per Week) £70,000 - £80,000 + Benefits A rare opportunity to join an international organisation at the start of its Digital & AI engineering journey. The business is already exploring AI across multiple countries, with teams building applications, automations and new solutions to solve real business problems. The next step is building the technical foundations, governance and engineering capability to take that further. As the first dedicated hire in this area, you'll have genuine influence over how AI solutions are designed, built and deployed across the organisation. The key thing is that this is a hands-on engineering role. They need someone who has personally built AI into applications or products, understands how those solutions work beyond the development environment, and enjoys experimenting with new technologies as they emerge. You don't need to be managing a large engineering team already. This could suit a Senior, Lead or Principal Engineer who mentors others and influences technical direction but still wants to be close to the technology. What You'll Do: • Design, build and deliver AI-powered applications and automation solutions, • Integrate LLMs and AI services into real-world applications, • Work with AI agents, RAG architectures and orchestration, • Help define the technical direction of a new Digital & AI capability, • Build the controls, observability and governance needed to use AI safely at scale, • Define development standards, engineering frameworks and best practice, • Mentor developers and provide technical guidance across the business, • Work across technologies including React, Next.js, Node.js and AWS, • Collaborate with infrastructure, cloud and wider technology teams, • Stay hands-on whilst helping shape the organisation's longer-term approach to AI What You'll Bring: • Strong software engineering fundamentals, • Practical experience personally building AI-enabled applications, features or products, • Experience integrating LLMs or AI services into applications, rather than solely using AI as a development tool, • Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability, • AWS experience, ideally including exposure to Amazon Bedrock, • JavaScript / TypeScript and modern web engineering experience, • Experience with Node.js, React, Next.js or comparable technologies, • Strong understanding of software architecture and engineering best practice, • Experience mentoring engineers or influencing technical direction, • Genuine interest in emerging AI technologies and a willingness to experiment with new models, tools and approaches, • Ability to communicate technical ideas clearly to non-technical stakeholders You Don't Need: • A Head of AI title, • Experience managing a large engineering team, • To have spent years in formal people management What's more important is that you're technically strong, curious about where AI engineering is heading and can demonstrate things you've actually built. Why You Should Apply: • Founding role within a growing AI Engineering function, • Opportunity to build something from the ground up, • Remain genuinely hands-on with AI and software engineering, • Influence technology choices, standards and ways of working, • Greenfield AI projects with strong organisational backing, • International scope across multiple regions and business units, • Opportunity to grow into a broader technical leadership position, • Hybrid working Interested? Contact Lewis Allen to find out more. Please apply with a CV outlining your suitability for the role. Know someone great for the job? We offer a referral scheme, so get in touch. Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities! JBRP1_UKTJ

FLT Counterbalance Driver Who we are Specialist Driver Resourcing are a dedicated company exclusively to the building materials handling sector, working with national and independent builders merchants, specialist suppliers, and logistics leads across the UK. What are we looking for We are looking for a FLT Counterbalance driver with Builder Merchant experience. About the Role You will play a vital role in supporting the efficient operation of our Tool Hire Clients by delivering outstanding customer service, maintaining hire equipment to the highest standards, and ensuring safe and timely deliveries and collections. You will be required to travel up to 50mile radius in your own vehicle to get to sites but mileage will be paid. Your role will be varied and not one day is the same, some days you will be driving a 3.5t van, other days you will be doing FLT work or yard work. Key Responsibilities Customer Service & Sales Support Build and maintain positive, profitable relationships with the Clients customers, ensuring excellent service at every stage of the hire process. Provide professional advice and product information to help customers select the right equipment for their needs. Represent the company professionally while meeting customers and visiting different locations on a daily basis. Deliveries, Collections & Equipment Handling Safely load, unload, transport, and deliver hire equipment Carry out collections and returns efficiently while maintaining excellent customer service standards. Ensure all equipment is checked before and after hire, reporting any faults or damage promptly. Health, Safety & Compliance Maintain high standards of health and safety Ensure all equipment and maintenance activities comply with relevant legislation and company procedures. Keep up to date with Tool Hire health and safety requirements and certifications. Conduct daily and weekly vehicle checks, reporting any issues promptly. Administration & Business Support Complete all hire-related administration accurately and on time. Maintain up-to-date records for hired equipment, servicing, inspections, and repairs. What We're Looking For Ideally someone who has previously worked for a Tool hire Company Good organisational and administrative skills with attention to detail. A strong commitment to health and safety. Ability to handle and transport hire equipment safely and responsibly. Product knowledge within the hire, construction, or merchanting sector is a must. What We Offer Job Security consistent work with trusted clients and guaranteed hours. Competitive Pay get rewarded for your skills and experience Monday to Friday. No Weekends Start Time between 6am - 7.30am Holiday Entitlement 23 days and bank holidays including a full Christmas shutdown Pension & Life Insurance financial peace of mind Job Variety different routes, clients, and locations to keep things fresh Top-Tier Clients work with major national brands Live Payslips instant access to your payment records Some Mileage paid Training TPBN1_UKTJ

Permanent | Belfast or London (Hybrid) | SC Held, DV Eligible Morela is hiring a Defence Security Assurance Lead for a fast-growing UK sovereign AI scale-up. This is a permanent, Full time role, hybrid from either Belfast or London with travel to customer sites, reporting into the Security Lead. You will need active SC clearance and be eligible for DV. On offer is a competitive salary, pension, equity options and one of the most generous working patterns you will find anywhere. Our client builds a sovereign AI platform for organisations that can't compromise on security, including defence, national security, central government, policing and heavily regulated industries. They deliver real capability into some of the UK's most sensitive environments, so every feature is threat modelled, hardened and properly assured before it goes near customer data. Security is central to the business and is now getting serious investment. The company is scaling a dedicated assurance function to match its growth in defence, and this hire is one of the founding roles in it. You will own cyber assurance for the products and services delivered to the MOD and to allied defence and national security customers. Your job is to build the evidence-led assurance that customer risk owners depend on, applying Secure by Design for both UK and international partners. You will work with engineering, product, IT, commercial and leadership, and directly with customers and assurance authorities. The scope is broad and will change as the business grows, so it suits someone curious and self-driven who wants a real hand in shaping a security function and a direct influence on new capability for defence. • Lead Secure by Design for the product across defence deployments, in line with JSP 440 and JSP 453, • Develop assurance cases using a claims, arguments and evidence approach, built to keep pace with rapid agile delivery, • Assure AI-enabled capability against JSP 936 and the wider MOD framework landscape, • Apply NIST CSF, RMF, AI RMF and SP 800-53 where they fit, • Act as the main point of contact for customer risk owners and cyber assurance authorities, • Help shape and deliver the overall security strategy, and play a key part in building out the security function as the business grows, • Champion good security practice across engineering teams, • Security assurance experience within UK defence or national security, with hands-on application of Secure by Design, • Working knowledge of JSP 440 and JSP 453, plus awareness of DCPP and Def Stan 05-138, • Experience turning technical evidence into robust assurance cases, • Threat modelling on live systems using STRIDE, attack trees or similar methods, • CISSP certification, • Active SC clearance and eligibility for DV, • Experience assuring AI or machine learning systems, or knowledge of JSP 936, • Understanding of AI attack types such as prompt injection, data poisoning and agent tool misuse, including MITRE ATLAS, • Familiarity with NCSC secure AI guidance and the UK AI Cyber Security Code of Practice, • Structured assurance notations such as CAE or GSN, ideally linked to machine-readable evidence, • Assurance work in air-gapped or classified environments, • Running, auditing or developing ISO management systems such as ISO 27001 or ISO 42001, • Permanent, full-time, hybrid from Belfast or London, with travel to customer sites, • Competitive salary, company pension and equity options in a high-growth scale-up, • A working pattern that gives back around 30 extra days a year on top of annual leave, with full four-day weeks over the summer and December, regular paid Fridays off and early Friday finishes, • Cutting-edge AI tools used as everyday working kit, • A delivery-first culture that values impact over optics and people over politics, with real influence on how the business runs as it grows #J-18808-Ljbffr

TL;DR: This is not a regular engineering job. We’re looking for exceptional builders who help us design and ship systems that define how the world’s largest companies operate in the age of AI. The world's largest companies are slowed down by the software they run on. We’re building the AI operating system that absorbs IT complexity and unlocks entirely new levels of speed, output, and ambition. We believe this is a generation-defining mission. Major enterprises already trust us with their most critical systems, we just closed a $50M+ Series A from top-tier funds, and we're still early enough that what you build here defines the company. We're a small, talent-dense team doing our life's work at Conduct - we value extreme ownership, high velocity, and low-ego collaboration. If you bring that same drive, we will make sure this is the place you do yours too. We are relentless builders, and we're looking for people who share that obsession with shipping to customers. We look for exceptional talent, regardless where you spike. This might be l in engineering fundamentals, agent harness design, product sense, or how AI systems behave and fail. If you spike in one of these you might be a fit. Confident enough to own it, generalist enough to operate across the stack when it counts. You'll stand out if you: Build with AI natively, not as an afterthought Have shipped agentic systems — side projects absolutely count Bring strong, pragmatic engineering instincts Have sharp product instincts and a drive to solve customers’ problems Are obsessed with how AI systems behave, fail, and improve Experience level matters less than the quality of your thinking and the evidence of what you've shipped. We hire the best to join our team in London, wherever they come from (we sponsor visas!). We’re convinced diverse teams ship better products and especially encourage underrepresented groups in tech to reach out. Everything from inception to shipped product. You'll own the full lifecycle: requirements gathering, research, conceptualisation, experimentation, implementation, and iteration. The shape of that work will vary and depend on where you spike - deep backend, forward-facing, genuinely full-stack - but the accountability never does. You'll speak to customers, shape product direction, and ship things that matter to some of the biggest companies in the world. Our stack prioritises what matters: shipping to customers—fast—without compromising on quality and engineering. Fundamentals are more important to us than familiarity with any technology or tool: if you're strong, we’re sure you'll pick it up fast. Here’s our setup: React, Vite, TanStack frontend Kotlin backend: Modern and expressive, paired with the maturity, tooling, and depth of the Java ecosystem. Lets us ship fast now without painting ourselves into a corner later. Temporal and PortKey: Absorbs infrastructure complexity around durable execution and enterprise-compliant LLM routing, so we can focus on shipping instead. Specialised LLM Harness: Built from hard-earned experience to give agents maximum freedom and intelligence without compromising on enterprise control, governance, or reliability. #J-18808-Ljbffr

We are looking for a Senior Cloud Platform Engineer to design, build and operate the cloud platform that SMG's products run on. The role works in two directions: day to day, you will embed with product squads from discovery to go-live, building the production infrastructure their products need and migrating our remaining AWS workloads into our Azure landing zone. Alongside that, you'll help set the long-term direction of the platform itself: the landing zone, reusable Terraform modules, and the observability and reliability practices that let every squad ship safely without waiting on us. Platform is currently a small, embedded function. We plan to grow it into a dedicated Platform squad, and you'll be one of the engineers who shapes what that squad becomes. • Own and evolve our Azure landing zone and cloud foundations required for SMG's existing products and future platforms and lead the migration of remaining AWS workloads into it., • Operate observability and SRE tooling: metrics, tracing and logging. Integrate SMG's chosen observability platform, with clear SLO dashboards, into all products., • Contribute to the platform roadmap: spot recurring needs across squads and turn them into shared platform capabilities, prioritised with engineering leadership., • Build the Terraform modules and pipelines that let squads provision and ship into the landing zone safely., • Security, compliance and cost governance: embed security best practices, participate in audit remediation, manage cloud cost optimisation and tagging/governance., • Platform networking and identity: design and operate private networking across the landing zone (hub-spoke VNets, private endpoints, private DNS, ingress) and workload identity (managed identities, workload identity federation for pipelines, Entra ID RBAC)., • Embed with product squads from discovery onwards, shaping infrastructure design before it becomes a delivery problem., • Enable developer self-service and ownership: mentor engineering teams on SRE practices so teams can reliably operate and own their infrastructure., • Author clear, actionable, version-controlled runbooks, incident playbooks and onboarding guides that enable developer self-service. You've designed, built and run production cloud infrastructure for a SaaS product, not just the pipelines that deploy to it. • Hands-on Azure landing zone experience: management groups, hub-spoke networking, private endpoints and private DNS, Azure Policy, Entra ID/RBAC., • Hands-on AWS experience sufficient to operate existing workloads and migrate workloads off it, • IaC expertise (Terraform strongly preferred; experience with Bicep / ARM is a plus)., • Pipeline authoring in any mainstream CI tool (we use Azure DevOps and Bitbucket)., • Observability tooling: metrics, tracing and logging stacks and experience translating those into SLIs/SLOs, specifically using Datadog., • Incident management experience, running on-call and leading blameless postmortems., • Strong scripting and automation skills; comfortable in at least one programming/scripting language., • Strong documentation skills., • Certifications: AWS and/or Azure certifications (AZ-305 or AZ-700 especially), • Azure Landing Zones or the Cloud Adoption Framework, • Container platforms such as ACA or AKS, • Hands-on cloud migration experience, • Certifications: AWS and/or Azure certifications (AZ-305 or AZ-700 especially), • Azure Landing Zones or the Cloud Adoption Framework, • Container platforms such as ACA or AKS, • Hands-on cloud migration experience We're looking for people who enjoy the buzz of change, the satisfaction of building something better, and the joy of working with a close-knit, values-driven team. If you love variety, thrive in a fast-paced environment, and embrace change with energy, this could be your right role. We're the original pioneers in connected commerce marketing. Since 2008, we've been partnering with major retailers, powering global brands, and building meaningful connections with shoppers. We simplify the mind-boggling complexity of today's retail media landscape. We deliver impactful campaigns that connect with people where it matters. We create seamless and personalised shopping experiences. Above all, we deliver amazing results for our partners, driven by our unshakeable desire for growth. Time after time, we change the game. SMG is home to a world-class suite of commerce advertising capabilities powered by data and cutting-edge technology. We constantly push ourselves, our tech and our industry to discover innovative new ways to connect, sell and grow., At SMG, we hire for the future, which is fast-moving and changing shape. Do you have the potential to help shape our business? We're looking for brilliant, diverse talent who want to grow with us - people who are curious, ambitious, and eager to learn, whether as specialists or across teams. We value those who take ownership of their growth and bring fresh perspectives. That's why we're committed to equity, inclusion, and building a place where everyone feels empowered to grow. At SMG, it's not just about filling a role but building the future together. #J-18808-Ljbffr

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you! AI is the biggest shift in how organisations build and work in a generation. The organisations who win will be the ones who can move beyond a working demo and get genuinely production-grade, multi-agent AI systems live, reliable and maintained at scale. That is the hardest part of the journey, and it's where this role sits. As an Applied AI Architect working in Version 1's Forward Deployed capability, you bring deep, hands-on expertise in designing, building, deploying and maintaining agentic systems in production, and you bring it to customers as a trusted adviser, not from behind a desk. You've done this for real — not just prototyped an agent, but taken a multi-agent architecture through the full lifecycle: design, orchestration, evaluation, deployment, and the unglamorous work of keeping it reliable once real users depend on it. You sit alongside customer architects and senior engineers, on their most technically demanding challenges, combining deep technical credibility with genuine consulting skill to shape decisions rather than simply hand over a design. This is a deeply technical role that lives in the room with the customer. You'll set the technical standard for Version 1's most complex agentic engagements, and you'll do it through influence and trust as much as through the strength of your own architecture. What you'll do Advise the customer's own AI architects. Act as the trusted technical adviser to the customer's AI architect and senior engineers, shaping their design and build decisions on agentic systems rather than owning delivery yourself. Consult across the engagement. Run discovery, workshops and architecture reviews with customer stakeholders, translating technical trade-offs into language that lands with both engineers and the business sponsors funding the work. Architect multi-agent systems, hands-on. Work directly with customer engineering teams to co-design multi-agent architectures — orchestration, tool use, memory, routing and guardrails — for real production workloads. Build reference implementations and accelerators. Create working prototypes, reference architectures, evaluation suites and accelerator code that customer teams take on and run themselves — proof that survives contact with production, not slideware. Solve the hard production problems. Bring deep experience of what breaks agentic systems at scale — hallucination under load, tool-call failures, runaway agent loops, latency and cost — and help customer teams design around it. Set the technical bar for the engagement. Own the technical architecture and standards for Version 1's most complex agentic engagements, reviewing and pressure-testing customer designs as a peer to their best architects. Own evaluation and observability. Establish how a customer will know their agentic system is actually working — eval suites, tracing, guardrails and monitoring — before it goes anywhere near production. Mentor on deep technical practice. Coach Applied AI Consultants and Associates on advanced AI engineering, sharing hands-on expertise that goes well beyond the basics. Build Version 1's technical IP. Contribute reusable architectures, patterns and accelerators to Version 1's shared toolkit, keeping it current with the frontier of agentic AI engineering. Stay genuinely current. Track the latest agent frameworks, orchestration patterns and models closely enough to have a real, tested opinion on what's worth using and what isn't. What good looks like Proven agentic systems experience. You've personally designed, built, deployed and maintained multi-agent systems in production — not a hackathon demo, a system real users depended on. A genuine consultant, not just an engineer. You build trust quickly with customer stakeholders, read a room, and flex your style between hands-on engineers and the people funding the work — this role lives in front of the customer, not behind a laptop. Deep architectural credibility. You can design and defend a multi-agent architecture — orchestration patterns, tool permissions, routing logic, guardrails — under scrutiny from a customer's best engineers. Genuinely current technical depth. Your expertise in LLMs, agent frameworks and evaluation is real and current, built through hands-on production work, not reading about it. Comfortable in the hardest part of the job. You know that the interesting problems in agentic AI start after the demo works, and you're energised by solving them. A builder who can advise, not just build. You'd rather be pairing on an architecture or debugging an agent trace than sitting in a status meeting, but you're just as effective guiding someone else's team to the right answer as reaching it yourself. What we're looking for 10–15+ years in software engineering, including 5+ years designing and architecting systems. A minimum of 2 years' hands-on experience architecting and running AI/agentic systems in production. A genuine track record of client-facing or consulting work, advising engineering teams or technical stakeholders rather than only delivering internally. Direct experience designing multi-agent architectures: orchestration, tool use, memory, routing, guardrails and agent-to-agent communication. Production experience with agent frameworks such as LangGraph, Microsoft Foundry, AWS Bedrock, CrewAI, AutoGen, or comparable orchestration tooling, plus MCP or similar protocols. Strong grounding in evaluation, observability and reliability for AI systems: eval suites, tracing, guardrails, monitoring and incident response for agentic workloads. Hands-on experience with the Claude API, Claude Code, MCP, GitHub's AI tooling, or equivalent leading AI platforms and tooling, in production. A degree in a related field, or equivalent practical experience. What Version 1 gives you A role built around the craft, in front of the customer. This track exists for people who want to stay deeply technical at the most senior level, advising and shaping rather than managing, without disappearing from client conversations. The hardest, most interesting problems. You'll work on the agentic systems our most demanding customers are betting their operations on, at a stage of maturity most engineers never get to touch. Real technical authority. You'll set the standard the rest of the team builds towards, earned through trust with customers as much as through the strength of your architecture. Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. #J-18808-Ljbffr

Remote Type: Hybrid (Remote & On-site) Locations: UK - Kings Cross - London, Heidelberg, Switzerland - Zug Time Type: Full time Posted On: Posted 6 Days Ago Job Requisition ID: 435678 At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development of AI models and agentic systems — researching, designing, implementing, and delivering solutions across a range of scientific tasks, including open-ended research questions, leveraging high-performance computing and the vast biomedical data sources available at GSK. The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. • Design and implement AI/ML-driven solutions throughout the entire model development life cycle., • Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks., • Deliver robust, tested, and high-performance code in an agile environment., • Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models. Qualifications & Skills: • Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions., • Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow)., • Familiarity with machine learning literature and state-of-the-art approaches., • Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python., • Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting., • Fluency in English. If you have the following characteristics, it would be a plus: • Experience in design, development and deployment of commercial AI/ML software., • Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi-agent orchestration, deployment and evaluation)., • Contributions to relevant open-source projects., • Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues., • Knowledge of or interest in disease biology, molecular biology and medicine., • Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Please take a copy of the Job Description, as this will not be available post closure of the advert. #J-18808-Ljbffr

Omnea is the agentic operating system for procurement. Procurement touches every pound a business spends, yet requests still stall for weeks and approvals get lost in inboxes. Our AI-first platform changes that: our agents capture requests, route approvals, onboard suppliers, flag risk and track every renewal, while anyone in the business can ask a question and get an answer grounded in their own company’s data. Buying becomes painless for everyone, procurement gets a seat at the table, and our customers have saved more than 100,000 hours of manual work so far. Companies like Spotify, PayPal, T. Rowe Price, JustEat, Adyen and S&P Global run procurement on Omnea. We’re backed by $75M from Khosla Ventures, Insight Partners and Accel, and we’ve been named the UK’s number one startup in the Startups 100, ranked 11th on Sifted’s 2026 list of Europe’s fastest-growing companies, and recognised as one of Fast Company’s Most Innovative Companies. Talent density matters more to us than almost anything else. We keep the bar high in every team, so everyone here has real ownership and real impact. Our team is full of former founders and operators who’ve scaled unicorns, and we’re looking for people who want to do the best work of their careers alongside them. Find out more about the team and life at Omnea here. We’re looking for exceptional, product‑minded software engineers across all levels to join our engineering team. We’re a tight‑knit group of ambitious builders who hold the bar high. It took over 10,000 interviews to hire our first 50 Omneans. Over the next year, our engineering team will double in size, our enterprise customer base will grow from ~180 to 300+, and revenue will triple. In this role, you’ll build high‑quality product features and systems using the latest in AI, both as a developer tool and embedded directly into our product, owning meaningful problem spaces end‑to‑end and having a direct impact on customers as we scale. • Join a Skilled Team. Become part of one of Europe's fastest‑growing software companies, working alongside experienced full‑stack product engineers from top technology businesses and startups., • Direct Product Impact. Help shape key product decisions, including roadmap prioritisation, project scoping, technical direction, user experience, and implementation strategy., • Work with Modern Technology. Our stack is TypeScript across the stack (frontend and backend), React, Postgres, and AWS serverless infrastructure (Lambda, DynamoDB, and EventBridge), managed through Pulumi and deployed via GitHub Actions. We use Datadog for observability, Meticulous for automated visual regression testing, and Incident.io for incident management., • AI‑Native Development. AI is core to how we build. Engineers use Claude Code and agentic workflows every day to write, review, and ship code faster, and our product is itself built on AI agents that automate complex procurement workflows., • End‑to‑End Ownership. Own projects from initial idea through design, implementation, deployment, monitoring, and iteration. You’ll work across the stack and be trusted to make decisions that drive meaningful outcomes., • Continuous Delivery. We deploy small, incremental changes to production multiple times per day, enabling rapid iteration and fast customer feedback loops., • Tackle Scalability Challenges. As we grow, you’ll help scale our systems, architecture, and engineering practices while maintaining performance, reliability, and developer velocity., • Collaboration and Autonomy. We operate as a high‑trust team where individuals are expected to take ownership while collaborating closely to solve difficult problems., • Customers at the Center. We regularly engage directly with customers to understand their problems, gather feedback, and ensure we’re building products that create genuine value., • You’re experienced with building web apps, having designed and implemented features from start to finish, full‑stack, using TypeScript and ideally AWS serverless., • You’re motivated by impact. You care about what your work actually achieves, not just how it's built. You want to ship things that move the needle for real customers, and you’re energised by the idea that your code helps some of the world’s best businesses run better. You thrive with the autonomy to make meaningful decisions and take real ownership of outcomes., • You know what exceptional looks like. You understand what it takes to build highly reliable, well‑architected products and you’ve worked with best‑in‑class tooling across AWS, IaC, and observability to do it. You build with quality, redundancy, and long‑term maintainability at the forefront., • You’re ready to get a lot done. You enjoy all aspects of building a product and are comfortable moving across the stack. You think from first principles, pick up new skills quickly, and ship., • You crave ownership. You gravitate towards the meatiest engineering problems. If there's an opportunity to own something bigger, you take it., • You’re a team builder. You’re a team player, excited by maximizing team performance, whether that means learning from others or taking the time to explain, give feedback, and level up those around you., • You’re comfortable with ambiguity. You’re happy to tackle problems without a predefined solution and thrive with the autonomy to make decisions, backed by an experienced team., • You’ve performed exceptionally at something else, be it academics, sport, or work. You’ve gone above and beyond the norm., • You love engineering. It’s more than a job. You’ve contributed to open source or worked on side projects just because you enjoy it. You’re confident tackling ambiguous problems and shipping quality code. Before applying, we strongly encourage you to spend a few minutes in our R&D Candidate Hub. It covers our engineering culture, ways of working, interview process, tech environment, and what it’s like to build at Omnea. We’re proud to support visa sponsorship for candidates who need it. At Omnea, we embrace diversity. To build a product that's loved by everyone, we’re best served by a team with all sorts of backgrounds, experiences, and perspectives. #J-18808-Ljbffr

We're Team Granola Granola is an AI-powered notepad for people in back-to-back meetings. What started as a better way to take notes has become a shared workspace that helps teams capture, organize, and act on what matters. We're building a product people genuinely love and are fortunate to work with many of the world's most ambitious companies. As we continue to grow, we're looking for a GTM Systems Lead to build the systems and data foundation that Sales, CS and leadership run on. We’re hiring a GTM Systems Lead to own the technology behind Granola’s commercial team as we scale. You’ll design, build and run the systems our Sales and CS teams rely on. Our current stack has served us well, but it needs to evolve as the team grows. You’ll take responsibility for how the tools fit together, what we build versus buy, and how information flows between them. This is a hands-on role. You’ll set the direction of the stack and implement the technical changes that make it work. You’ll work closely with Sales, CS and Data, and report to the Head of RevOps. You won’t be limited to administering a CRM or building isolated automations: you’ll own how the whole system works. Design and evolve the GTM stack. Decide how our Sales and CS systems should fit together, what to build versus buy, and what to prioritise as we grow. Own the technical architecture of our CRM, Attio. Shape its data model, objects, workflows and integrations. You’ll be hands-on with configuration, particularly early on, but routine admin won’t be the sole focus of the role. Build and maintain integrations. Make data flow reliably across Attio and our wider toolset, including Apollo, Cal.com, Tally and Polytomic, and into the data systems used by the wider business. Own the wider toolset. Assess new tools and vendors, improve or replace what isn’t working, and make sure the stack is useful, reliable and cost-conscious. Find opportunities for automation and AI. Identify work that could be made easier for Sales and CS, and build or collaborate on solutions where they fit the priorities of the stack. Keep systems dependable. Troubleshoot problems, establish sensible governance and documentation, and partner with IT on access and security. Understand how teams work. Get close to Sales and CS workflows so the systems you build solve real problems, not just technical ones. Experience designing, building and owning systems used by a growing commercial team. Relevant hands-on experience matters more to us than a particular number of years or experience with a specific CRM. Sound judgement about system architecture, priorities and build-versus-buy decisions—and the ability to explain those decisions to non-technical colleagues. Technical depth beyond administering tools: you’ve built integrations and are comfortable working with APIs, webhooks and code. Experience with SQL, Python or JavaScript would be useful. An understanding of CRM data models, routing, enrichment and the operational work needed to keep data flowing reliably. A willingness to get into the weeds. You’re comfortable doing the implementation yourself while also thinking about how the stack should develop over time. Curiosity about AI-powered GTM workflows, with experience building them a plus rather than a prerequisite. A collaborative, low-ego approach. You can work through messy requests with Sales, CS and Data, challenge assumptions constructively, and ship solutions people can use. You don’t need to have used Attio or every tool in our stack. We’re more interested in what you’ve built, how you think about systems, and how you’d apply that experience here. We are living in the most exciting time for tool builders since Engelbart's demo in 1968 and we want to assemble the best crew to build this future together. Our compensation philosophy is to hire the best people in the market and pay them accordingly with salary, variable, and equity. #J-18808-Ljbffr

Clariness is looking for an AI Security Engineer (f/m/d) based Germany, UK, SA, or Serbia. - Full-time; unlimited This role is about building, operating and continuously improving Clariness' security capabilities across applications, cloud infrastructure and AI systems. As our founding-level security hire, you will establish the security engineering function, define its priorities and work directly with engineering teams to embed effective security controls throughout our technology environment. As an AI Security Engineer, you would be responsible for: • Defining Clariness' security engineering strategy and roadmap, and building and operating the security function across application security, cloud security, AI and LLM security, vulnerability management and supporting security tooling., • Working directly with engineering teams on secure system design, threat modelling, penetration testing and vulnerability remediation, while embedding appropriate security controls into development processes and CI/CD pipelines., • Owning AI security and governance across LLM-powered features, RAG systems and agentic pipelines, including assessing and mitigating risks covered by the OWASP Top 10 for LLM Applications., • Designing and validating safeguards for AI agents, including sandboxing, privilege and access controls, secure tool use and adversarial red teaming of AI systems., • Evaluating, deploying and continuously improving AI-powered security automation, including autonomous vulnerability triage, LLM-powered alert analysis, compliance evidence gathering and AI-assisted threat intelligence., • Assessing commercial and open-source security tools based on effectiveness, operational fit and cost, and developing custom solutions where existing tooling does not meet Clariness' requirements., • Managing Clariness' IT security compliance programme— including SOC 2 Type II, applicable EU AI Act high-risk obligations, GDPR Article 32 technical measures and GxP IT security controls—while maintaining audit-ready documentation and acting as the primary security liaison for external auditors, regulators, Legal and Compliance., • At least five years of hands-on experience in security engineering, application security or information security, with strong technical depth beyond advisory or governance responsibilities., • Proven experience building or significantly developing a security programme within a product engineering environment, ideally as an early or founding security hire., • Strong practical experience across application security, cloud security, secure software development, threat modelling, penetration testing, vulnerability management and security controls within CI/CD pipelines., • Experience assessing, testing or implementing security controls for LLM-powered applications, RAG systems or agentic pipelines., • Hands-on experience with AI agents, either building them for security automation or securing them through adversarial testing, sandboxing and privilege controls., • Demonstrable compliance experience involving at least one SOC 2 audit cycle, GDPR programme ownership or implementation of EU AI Act requirements, including the ability to produce audit-ready documentation and work with external auditors., • Experience in a regulated industry such as clinical research, pharmaceuticals, healthtech or fintech, with knowledge of GxP or comparable regulated data-handling requirements considered a strong advantage, alongside strong English communication skills at C1 level. You may ask now, why should I work for you? Let us give you a few reasons – and you'll learn more during the process. • A varied and exciting job with a lot of personal responsibility in an international company, where you can develop and expand your skills., • Professional and personal development opportunities - incl. personal development budget., • Flexible working hours and mobile working., • Regular team events and open feedback culture., • A versatile field of activity and challenging projects., • A supportive and open company culture, providing the opportunity to collaborate with a diverse and professional team., • Impact healthcare by accelerating medical innovation through improved access to clinical trials, potentially bringing needed treatments to patients faster. At Clariness , we are proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, religion, gender, sexual orientation, national origin, disability or age. For more information, feel free to reach out to Have we sparked your interest? Would you like to become part of our dynamic, curious, and international culture with plenty of room for your ideas and creativi #J-18808-Ljbffr

We are a fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. We’ve closed our last $25mil round in Q4 2024, led by Notable Capital, CRV and Heavybit. LocalStack is a local cloud development platform. LocalStack makes it easier, faster, and less expensive for software teams to ship reliable, high-quality applications to the cloud. The cloud was built to run software, not to support AI-native development workflows. As the world's leading local cloud development platform, LocalStack provides secure local sandboxes that simulate cloud environments, enabling AI agents and software developers to find and fix risks faster and more effectively than they can in the cloud. Our customer base ranges from SMBs to Global Fortune 500 companies. Our clients include companies like NASA, Harness, IBM, Workday, Comcast, Apple, 3M, Block and many more. We are sustainably growing our globally distributed teams across GTM, operations and engineering. In 2025 we almost doubled in size and continue to grow across all areas in 2026. LocalStack is headquartered in Zurich/Switzerland , with a small engineering office in Vienna/Austria and remote team members from 25 countries including the US, FR, UK, CA, ES, and many more! Check our Notion Candidate Handbook and our GitHub! • Own the internal cloud infrastructure and serve as the primary point of contact for cloud operations and infrastructure requests., • Manage and continuously improve our multi-account cloud environment, ensuring security, governance, and compliance best practices are consistently applied., • Support and maintain compliance with SOC 2 Type II and ISO 27001, ensuring audit evidence is prepared continuously rather than only during audit periods., • Operate and improve our identity and access management, including SSO, MFA, permissions, and joiner/mover/leaver processes., • Maintain and monitor self-hosted internal services, ensuring they meet agreed service levels and that vulnerabilities are tracked and resolved efficiently., • Monitor the security and health of our cloud environment through continuous posture management and proactive risk identification., • Own infrastructure cost management for the services under your responsibility and help other teams proactively identify cost or reliability risks before they become issues., • Collaborate with engineering teams to improve the reliability, scalability, and operational excellence of our cloud platform., • Deep AWS experience at org level: Organizations, Control Tower, multi-account landing zones, IAM/SCPs, Security Hub/GuardDuty, VPC and multi-AZ networking, • IaC as the only way infrastructure gets created - module design, state management, review and promotion between environments. Tool-agnostic, but real depth in at least one (Terraform/OpenTofu, CDK, Pulumi), • Understands how to evolve existing systems toward compliance - can look at a running estate and work out what has to change, in what order, to satisfy SOC 2 / ISO 27001. Having been through an audit or certification is a bonus, not a requirement, • Internal workforce identity and access: IdP-backed SSO/MFA, centralised access management, automated joiner/mover/leaver, • Self-hosting and operating shared internal tooling that other teams depend on - deploy, upgrade, back up, own the uptime, • Observability and alerting design, plus on-call for a distributed team, • Cloud cost management / FinOps fundamentals, • Azure is a nice-to-have extension, not a requirement - AWS depth is what matters, but the estate is going multi-cloud so appetite for it counts, • Bash, Python and/or Go for tooling. Comfortable with ambiguity in a remote-first environment, and happy being the first hire in a function, • Care: we create with compassion. We prioritize empathy and understanding in every interaction. By genuinely caring for our team, customers, and community, we create an environment where people thrive and impactful work flourishes, • Ownership: we own the outcome. We take responsibility for our work and are passionate about its impact. We foster autonomy, inspire ambition, encourage ownership, and empower everyone to unlock their potential and make an impact., • Openness: we build trust together. We build trust through open communication and honest feedback. By sharing ideas and embracing diverse perspectives, we create stronger, more connected teams that work toward shared goals., • Courage: we dare to innovate. We embrace bold challenges and take calculated risks to move the needle. We step outside our comfort zones, experiment fearlessly, and turn setbacks into springboards for growth. We chase excellence by pushing boundaries and delivering results that go beyond the ordinary, constantly raising the bar and striving for greatness in everything we do. Excellence is not just the outcome, itʼs how we approach every task with purpose, passion, and a commitment to delivering exceptional value. • Fully remote, • Competitive salary, • Annual company retreat, • 2 extra company-wide holidays, • Friendly and inclusive workplace culture (community guilds and online company events), • Yearly bonus #J-18808-Ljbffr

Location: UK Based, Remote-first (with monthly travel to London) At Unmind, we're here to create better mental health. We believe mental health should be a source of strength, not struggle – for people, teams, and entire organisations. We combine science, technology, and human care to help companies like Uber, Disney, Major League Baseball, and the NHS improve mental health and drive performance. Now we’re looking for more brilliant people to help us do it. Outpace the rest – Move fast. Deliver excellence. Stronger together – We go further, faster, together. Client first – We win, when our clients win. We’re building a place where everyone feels seen, heard, and supported – and where difference is celebrated. If you need adjustments during the process, tell us when you apply or email . Learn more about how we hire and our commitment to equity in our Candidate FAQ. We're looking for a Software Engineer to join our team! You'll ship features that directly help the employees of our enterprise clients find the right support at the right time. We're using Claude Code throughout the SDLC, exploring how we evolve our development practices to leverage AI where it meaningfully helps. This is a great opportunity for someone who wants to deepen AI-assisted development skills in a team that's investing in them. • You'll ship features end-to-end. Break initiatives into deliverable slices, design solutions, write the code, and see them through testing, deployment and monitoring in production., • You'll own the design for what you deliver. Choose pragmatic approaches that fit our existing architecture, write RFCs where appropriate, and make sensible trade-offs without needing extensive guidance., • You'll keep things reliable. Respond to incidents and bugs in your team’s domain, improve observability where it's lacking, and uphold the security and performance commitments we make to clients., • You'll improve what you touch. Tackle tech debt, refactor and upgrade dependencies where it unblocks delivery or reduces risk., • You'll embed AI into how you deliver. Use Claude Code throughout your workflow - scoping, designing, coding, reviewing, documenting - and contribute to our collective learning by sharing what's working back to the team. In the spirit of equity and continuous growth, we invite you to remove education from your CV. Qualifications are not a factor in our decision-making. However, some experience in the following is important for this position: • You're ready to get a lot done. You're a backend leaning Engineer, but comfortable moving across the full stack which includes TypeScript, React, GraphQL, Node.js, Python, Golang and SQL. You don't need hands-on experience with every tool; we're more interested in strong software engineering fundamentals and curiosity to learn. You enjoy problem solving from first principles, pick up new context fast, and ship impactful changes to customers regularly., • You know what good looks like. You understand what it takes to build reliable products for clients. You build with performance, security and observability at the forefront rather than as follow-ups, and your code is simple, well-tested and easy for others to change., • You're comfortable with ambiguity. You're happy tackling problems without a clear definition or obvious solution, and find the leanest viable path forward., • You make deliberate trade-offs. You understand the impact of trade-off decisions made today. You choose lean over perfect when it's the right call, and you're explicit about what's being deferred and why., • You’re comfortable with AI-assisted development practices. You use Claude Code (or similar tools) as a core part of how you develop features - applying curiosity and judgement to know where it accelerates and where it doesn't. We believe wellbeing and performance go hand-in-hand – and we build our environment to support both. • Private medical for you & your family, • Equity in Unmind, • Generous gender-neutral parental leave, • 25 days holiday + birthday + celebration days, • Revive & Thrive Days – company-wide Friday off monthly, • Flexible working + early Friday summers, • Remote-first within the UK, with monthly in-person meet-ups and access to a London co-working space, • Annual learning budget + learning leave, • Free weekly therapy or coaching sessions, • Wellbeing support via WellHub & Bippit, • See all benefits on our Careers Page #J-18808-Ljbffr

AI Engineer at Webbyfox (trading name of Yira Ltd)#### (2 days, 19 hours ago)## Job TitleAI Engineer## Job DescriptionWe're looking for an AI Engineer to design, build, and ship AI-powered features for our clients' Python web applications. You'll take LLM and machine learning ideas from prototype to production, adding AI search, intelligent agents, and automation to Django and FastAPI products. You'll work closely with our senior Python engineers and with client teams.Key responsibilities: - Design and build LLM-powered features such as retrieval-augmented generation (RAG), semantic search, chat assistants, and AI agents - Integrate LLM APIs (e.g. OpenAI, Anthropic, Gemini) and open-source models into Django and FastAPI services - Build and maintain data pipelines for document ingestion, chunking, embeddings, and vector search - Engineer prompts, tool and function calling, and multi-step agent workflows - Set up evaluation, testing, and monitoring for AI features, covering quality, latency, cost, and safety - Optimise performance and cost through caching, model selection, and batching - Make sure AI features are secure, privacy-conscious, and compliant with UK GDPR - Work with clients in discovery sprints to find practical, high-value AI use cases - Keep up with the fast-moving AI ecosystem and share knowledge across the team## Restrictions Telecommuting is OK Agencies are OK## Requirements 3+ years of professional Python development experience, including at least 1 year building LLM or ML features used in production Hands-on experience with LLM APIs and frameworks (e.g. OpenAI/Anthropic SDKs, LangChain, LlamaIndex, or similar) Solid understanding of RAG architectures, embeddings, and vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar) Experience building APIs with FastAPI or Django; async Python is a plus Strong PostgreSQL skills; pgvector experience is a plus Familiarity with prompt engineering, tool/function calling, and agent design patterns Experience evaluating and monitoring LLM output (eval frameworks, tracing, observability tools) Working knowledge of Docker, cloud platforms (AWS, GCP, or Azure), and CI/CD Good testing discipline with pytest Understanding of AI safety, data privacy, and responsible AI practices Clear communication skills and the ability to explain AI trade-offs to non-technical clients Nice to have: experience with ML fundamentals (PyTorch, Hugging Face, fine-tuning), Wagtail, or open-source contributions Degree in Computer Science, AI/ML, or a related field, or equivalent practical experience## About the CompanyWebbyfox is a UK-based Python web development agency. Our senior Python engineers build web applications and APIs for UK teams using Django and FastAPI.We deliver new Django applications and FastAPI services, upgrade and rescue ageing Python/Django codebases, and provide Python developers for hire or white-label work. We also offer Wagtail CMS, AI-powered search and agents, and PHP (Laravel/WordPress) maintenance. Our stack centres on modern Django (5.2 LTS / 6.0), FastAPI and PostgreSQL.Our recent work includes LetRecord, a compliance tool for landlords and letting agents in England, and RoomNest, a room-rental marketplace covering London, Birmingham and Manchester. We build to WCAG 2.2 AA and the GOV.UK Service Standard for public-sector projects.We are remote-first and work across EU and US hours. Clients own their code from day one, and we work in focused four-week build cycles. Webbyfox is a trading name of Yira Ltd, registered in England & Wales.## Contact Info Contact: Rizwan Mansuri E-mail contact: Web: careers/ai-engineer/## Employment typeFull-time## Desired skills:Python,Django,FastAPI,LLM APIs,RAG,Vector Databases,PostgreSQL,pgvector,LangChain,LlamaIndex,Docker,AWS,gcp,Azure,Pytest,Back end,Big Data,Cloud,Database,Integration,Lead,Machine Learning,Numeric processing,Systems## Location:London, UK (Remote OK)Apply for this JobThisjob listingwas aggregated frompython.org/jobs/To apply for this job, please visithttps://www.python.org/jobs/8184/ #J-18808-Ljbffr

Artifact AI is building the first truly agentic accounting platform—end-to-end, zero manual work. Hiring extreme performers only (top 1% in something hard). Small team, high ownership, no comfort mode. UK / USA Artifact AI is rebuilding accounting from the ground up. Not making the software incrementally better, rebuilding the work itself, so one accountant does what a team used to do and a set of books closes itself in the background while a human stays in the loop. Two products do the heavy lifting. Arti handles ingestion, matching, reconciliation and journal posting. Omni orchestrates 600+ platforms and lets accountants build agentic workflows using natural language. You'll own real surface area. From the database schemas, to a front-end component someone clicks on a Tuesday. Backend is home (Python, async, the messy distributed parts, ..etc), but you'll move into the AI layer or the front-end or the infra when the problem is there. Wherever the work actually is. You set direction on what you own. Build the code that matters. Push back when you think we're wrong. You raise the bar of people around you and you have done it before. Pace matters here. Speed and quality pull against each other. The skill is knowing what to spend the day on and what to ship rough and fix Friday. You don't reach for the cleverest tool, the trendiest pattern, or the abstraction that makes you look senior. You pick the boring thing that works, because you've got nothing to prove. You use AI to the max, or anything else that makes you 10x. And you know when to put the tools down and get your hands dirty so the shipping bar holds. Low ego, high standards. You are kind to the humans on the team and brutal on the work. You do not confuse the two. You know the domain. You have a domain background in fintech, accounting, audit, ERP, or financial close, you have either built in this space or worked closely with it. • You have been a founder or founding engineer of a venture-backed company., • You have built developer-facing products, APIs, or SDKs., • You have shipped agent systems with structured tool-use at scale., • You have meaningful Go, Rust, or TypeScript backend experience to complement your Python., • You have hired, ramped, or mentored other engineers not as a manager, but as the senior IC people gravitated toward. You will not have a process between you and the work. No JIRA tickets handed down, no PMs gating your access to customers, no architecture review board you have to convince before writing code. You will not manage people in this role. This is a senior IC track. If your goal is to run a team of 30, this is the wrong role for you, though we are happy to support a transition into management later for the right person. You will not work 9-to-5. We are trying to compress what would normally be a decade of work into two or three years. We expect you are the kind of person who finds that energising rather than alarming. We protect deep-work time aggressively, but we do not pretend the hours are normal. Artifact's culture is intense and not for everyone. We work hard, we ship fast, and we are direct with each other when something is off. We hire grown-ups and we expect grown-up behaviour. We celebrate wins together, and we do not pretend everything is fine when it isn't. We are a fit for you if: • You are unreasonable about quality., • You are happiest when you are shipping., • You would rather argue about a design doc than sit through a status meeting., • You have a real, weird, founder-shaped reason to want to spend the next several years rebuilding accounting. We are not a fit for you if: • You want predictable career progression frameworks., • You desire heavy processes, formal mentorship structures, or strong work-life-balance signals. We are an equal opportunity employer. We hire on the basis of evidence that you can do the work and want to do it here, full stop. #J-18808-Ljbffr

AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user / agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest-moving spaces in tech: the emerging intersection of AI and cybersecurity. It's a market still being defined, and we're among the first to build natively for it - protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and serious traction. We're led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In-Q-Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn't a nice-to-have. It's mission-critical infrastructure. That's what we build. Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work, from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We’re a small but mighty crew where every person plays a critical role and we’re committed to using AI to work smarter and faster. We're looking for an AI/ML Product Engineer to build the insight layer of Harmonic: the ML that makes sense of how people and agents are actually using AI, so our customers can see where it's creating value and where it's creating risk. This is a hands-on, individual-contributor role with real product impact. You'll take problems from messy raw data all the way to a shipped, customer-facing insight, working directly with product, engineering, security and the customers themselves. This is about turning AI usage into insight that customers act on. Classification and clustering are how we do that today, but you'll choose whatever approach fits the problem. It's Python-first engineering, not notebook analysis. • Turn raw AI usage data into insights customers can see, trust and act on, • Own insight features end to end, from framing the question with users and product partners through to production and iteration, • Make sense of unstructured data at scale, with the quality of every output measured and understood, • Build and maintain the data pipelines behind your models, and own their deployment and reliability in production, • Build the evaluation frameworks, ground-truth sets and error analysis that prove an insight holds up before a customer sees it, • Quantify uncertainty and communicate confidence clearly, so the product never presents a shaky signal as a certain one, • Shape the product surface itself: what the model should show, to whom, and why, • Keep pace with a fast-moving field, adopting new models and approaches as they prove themselves and retiring the ones that don't, • Work across a polyglot stack: Python at the core, with Java (Spring Boot) and occasionally TypeScript when the task demands it, deployed on AWS, • A track record of shipping production ML that customers or downstream product surfaces depend on, such as text or behaviour classifiers, or clustering and embedding pipelines, • Solid applied ML foundations across supervised classification and unsupervised grouping, with a clear view of which model families you've used and why; this role isn't a fit for a background built mainly on forecasting or time-series prediction, • Strong production Python for ML and data engineering – code in version control, tested and deployed, not just explored, • Rigour about validity: you routinely report precision and recall, confidence intervals and baselines, and you've run experiments or human-in-the-loop review to verify automated conclusions, • Experience delivering ML as part of a product team on a customer-visible surface, ideally having owned an insights, analytics or intelligence feature yourself, • A quantitative background (statistics, CS, physics, econometrics or equivalent) applied to real data problems, • Comfort in a polyglot codebase and a willingness to pick up a second language on the job, • Hybrid in our Shoreditch office around two days a week, potential for Remote for exceptional candidates, • Have built products in cybersecurity, AI detection, data protection, governance or enterprise SaaS – or have a real interest in how organisations adopt AI safely, • Have worked on taxonomy design, data labelling, or entity and intent categorisation in a product context #J-18808-Ljbffr

Employment Hero is on a mission to make employment easier and more valuable for everyone around the world. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. Since launching in 2014, we've grown from startup to global scale, reaching a valuation of over $2 billion and building a presence across six countries, with even more growth ahead. We now serve over 350,000 clients, pay more than 3 million employees, and support a growing pool of job seekers finding their next role through our platform. At Employment Hero, we’re proud of our unique DNA, which we call The EH Way. • We are Mission First - Our Mission determines what we work on, where we invest, and where we focus. Every decision runs through a single filter: does this accelerate our Mission?, • We are Remote First - we champion a remote environment with a preference for asynchronous communication and a high degree of autonomy, • We are AI First - we are committed to using AI to accelerate our mission; AI is not just a tool, it’s a fundamental part of how we operate, innovate, and scale, • We Live by Our Values - we role model our values 100% of the time, • We Expect High Performance - we set a high standard and we’re not satisfied with being average. As an Account Executive, you’ll be a key part of our UK sales team, focused on driving new customer acquisition for our Standalone Recruitment Agent (SARA) – our AI-powered Recruitment Agent and ATS solution. This is an exciting opportunity to take a first-of-its-kind, market-defining technology to market and play a key role in shaping how businesses recruit and hire. SARA is transforming the way businesses attract, manage and hire talent, combining recruitment technology with AI to make hiring faster, simpler and more effective. You won’t just be selling an established product — you’ll be helping introduce a new approach to recruitment, educating the market, creating demand and showing customers what’s possible when AI and recruitment technology come together. Your key focus areas will be: • Taking SARA to market and winning new business across the UK, • Helping define and shape the market for AI-powered recruitment technology, • Managing a high-volume, end-to-end sales cycle from prospect to close, • Understanding customers’ recruitment challenges and positioning SARA as a valuable solution, • Partnering closely with our SDR team to maximize opportunity conversion, • Delivering a consistent monthly quota through high-quality pipeline management. This will include: • Running discovery conversations, pitching, demoing and closing new business across a wide range of industries, • Presenting to and negotiating with C-suite, senior HR and Talent Acquisition stakeholders, • Understanding customers’ recruitment processes, pain points and technology landscape, • Educating prospects on the opportunity AI presents for recruitment and helping them understand how SARA can transform their hiring process, • Collaborating closely with SDRs to qualify and progress inbound and outbound opportunities, • Maintaining a strong, accurate sales pipeline using Salesforce CRM, • Hitting monthly revenue targets through consultative, value-based selling, • Staying up to date with developments in AI, recruitment technology and the ATS market, • Bringing customer and market feedback back into the business to help shape how we position and take SARA to market, • Contributing to a culture of learning, energy and high performance within the sales team. To thrive at Employment Hero, you’ll need to embody The EH Way – operating with focus, agility, and an obsession with impact. For this role, you’ll also bring: • 2+ years of B2B SaaS sales experience as an Account Executive, with a proven track record of managing and closing full sales cycles, • Experience selling ATS, job boards, recruitment technology or talent acquisition solutions is highly desirable, • Alternatively, we’reopen to high-performing recruitment professionals who are looking to make the move from recruitment into SaaS sales, particularly those with strong commercial, consultative and customer-facing experience, • Demonstrated success meeting or exceeding targets in a high-volume, fast-paced environment, • Experience managing complex sales conversations involving multiple stakeholders, ideally across HR, Talent Acquisition, People and senior leadership, • Strong discovery and consultative selling skills, with the ability to uncover customer pain points and connect them to a compelling business case, • Excellent communication, presentation and relationship-building skills, with the confidence to influence senior stakeholders, • Comfortable learning and demonstrating technology, with genuine curiosity aboutAI and the future of recruitment, • Hunger, curiosity and tenacity – with a team-first mindset, • Ambitious and growth-oriented, with a desire to develop your career in a fast-growing SaaS business – we love to promote from within! At Employment Hero, we don't just talk about a better way to work. We live it. Joining Employment Hero means you'll: • Work in a remote-first environment, giving you the autonomy to do your best work while delivering meaningful outcomes., • Be trusted to own your work, make decisions, and have a real impact from day one., • Access cutting-edge AI tools and technology that help you move faster, think bigger, and amplify your expertise - Gong, Gemini, Claude, Relevance AI, and others., • Surround yourself with ambitious, high-performing teammates who will challenge, support and inspire you to do the best work of your career., • Own ESOP (Employee Share Options) in one of the world's fastest-growing technology companies, so you can share in the value you help create., • Enjoy a comprehensive benefits package, including generous parental leave, subsidised egg freezing, a home office allowance, and outstanding learning and development opportunities to support your growth., • Connect with colleagues from around the world at our Annual Global Gathering. We've celebrated together in Thailand, Vietnam, Bali, Dubai, and Gold Coast, Australia., • We’re AI-first, so may use AI tools to review your applications and support our interviewing and hiring process. They help us cut the noise, surface great talent fast and make sure every candidate gets a fair, consistent experience. These tools do not replace human judgment and the final hiring decision sits with our team., • We verify candidate identity and location as part of our hiring process., • At Employment Hero, we are committed to safeguarding the privacy of your application data. By applying to this role, you acknowledge our Applicant Privacy Policy made available here: employmenthero.com/legals/applicant-policy/. #J-18808-Ljbffr

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We’re looking for a Senior Engineering Lead to build and lead our AI engineering team in FinTech and Fashion Tech at ASOS, the technology teams behind Finance and our Commercial, Buying and Merchandising functions. This is a hands on engineering leadership role. You’ll line manage and grow a team of AI Engineers who build, deploy and support automation and agentic AI solutions, and you’ll still write code yourself when it counts. The teams we support run some of the highest volume, most process heavy operations in the business, from accounts payable, reconciliation and expenses in Finance, through to range planning, trading, stock and supplier data on the commercial side. There is real scope to take repetitive manual work off people, speed up decisions and give them their time back. This is a delivery role rather than a strategy one. ASOS has a central AI team who own our AI policy, framework, approved tooling and guardrails, and you won’t be setting that direction for the wider business. You’ll build for the teams we support within it, working closely with the central team and our AI centre of excellence to stay aligned. Within that remit you own delivery end to end, from understanding the problem through to supporting what goes live, including the agents already running today. Leading and Growing the Engineering Team • Line manage a team of AI Engineers, covering objectives, one to ones, development, career progression and performance., • Grow the team. Hire well, onboard new engineers properly, and build the skills we need as the work changes., • Coach and mentor through design reviews, pairing and code review, and give honest feedback that helps people improve., • Look after the health of the team, balancing workload and capacity so people are on the right work and not carrying too much. Technical Direction and Engineering Standards • Own the technical direction for the team, including the architecture, reusable patterns and reference solutions we build from., • Set and hold the engineering standards, covering code quality, testing, evaluation, peer review, CI/CD and secure by default habits., • Make the build or buy calls for your team, and keep an eye on running cost, performance and technical debt. Building and Running AI Solutions • Stay hands on. Lead from the front by writing code, prototyping, unblocking your team and picking up the hardest builds yourself., • Design, build and ship production ready agentic AI and automation solutions: agents that can plan, reason, use tools, retrieve information, act across our systems and hand back to a person when they should., • Build the integrations that make agents genuinely useful, connecting them to platforms such as Microsoft Dynamics 365 Finance and Operations, ReconArt, Concur, ServiceNow and our data platform, and use retrieval augmented generation and grounding so solutions are accurate against real business data. Owning Delivery • Own delivery for the team. Plan and prioritise the backlog, manage capacity and dependencies, and move work quickly from proof of concept into production., • Run the team’s work through Azure DevOps and follow the wider ASOS delivery process, including governance, change control and release cadence., • Own the agents and automations already live, put proper operational foundations in place including monitoring, alerting, runbooks and clear ownership, and lead incident response when things go wrong. Working with Stakeholders and the Central AI Team • Get out into Finance, Commercial, Buying and Merchandising to understand how people really work and what is genuinely worth automating, and explain the options back in plain language., • Build inside the policies, approved tooling and guardrails the central AI team sets, and be our main point of contact with them and the AI centre of excellence so we stay aligned., • Track and evidence the benefit delivered, whether that is time saved, manual effort removed or cycle times cut, and report progress and risks honestly to senior stakeholders. Automation and agentic AI are the biggest opportunity we have to change how these teams work. Done well, they take repetitive work off people’s plates, shorten month end close and trading decisions, and free our teams up for the things only people can do. The central team provides the framework and the guardrails. What we need now is someone to build and lead the team that delivers against it: a hands on engineering leader who can grow engineers, set the technical bar, keep stakeholders confident, and still open the laptop and build. Engineering Leadership • Experience line managing a team of engineers, covering one to ones, development, performance and hiring, while staying technically hands on., • A track record of setting technical direction and engineering standards, and lifting the quality of what a team produces., • Experience owning delivery for a team, including planning, prioritisation, capacity and reporting progress to senior stakeholders., • Comfortable delivering inside a framework someone else owns, working alongside a central or platform team, and able to push back constructively when it matters. AI and Automation • Real, demonstrable experience designing and building agentic AI solutions that have gone live and are genuinely used, rather than pilots., • Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation., • Experience with workflow and process automation tooling such as Power Platform, Logic Apps or RPA, and with evaluating how agents perform across accuracy, guardrails, reliability and cost. Engineering and Communication • A strong software or data engineering background, with solid coding skills such as Python or C#/.NET, and experience building and integrating APIs and services., • Experience deploying and running solutions in the cloud, ideally Azure, with proper CI/CD, testing, monitoring and observability, and a security and data conscious mindset when working with sensitive financial data., • Genuinely comfortable with non technical stakeholders, able to run discovery, explain technical ideas simply and influence at senior level, with a focus on outcomes rather than technology for its own sake., • Experience with finance systems or processes such as accounts payable, reconciliation or financial control, or with Microsoft Dynamics 365 Finance and Operations., • Experience in retail, ecommerce or fashion, particularly across commercial, buying, merchandising or supply chain., • Data skills including SQL, data modelling and platforms such as Databricks or Microsoft Fabric., • Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management., • You will build and lead the AI engineering capability for two of the most important areas of ASOS, and shape how the team works from the ground up., • It is a rare mix. You get to line manage and grow a team, own the technical direction, and still build., • Real problems, real scale and real users, with a clear impact on people’s working lives., • A central AI team owns the framework, tooling and guardrails, so you can concentrate on building and leading rather than writing policy., • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

We're hiring a Full Stack Engineer to build the platform behind Tyred - the customer booking app, the admin and operations tooling behind it, and the integrations that keep the business running (payments, comms, payroll). This is a great moment to join. We're a small team with no layer between you and production, and the platform is about to grow fast: mobile apps are on the way, the architecture is heading serverless, and the engineer we hire now gets to shape both. You'll pick up problems, not tickets: scope the work, make the calls, ship it, and own it once it's live. We're after someone who has done this before and can take a loosely defined problem all the way to production without close supervision. First principle: the right tool for the right job. We're not precious about languages or frameworks, and we expect you to challenge our choices when you see a better way. • Frontend: Next.js / React / TypeScript, • Backend: currently a Python API - we're deliberately moving away from it, and new work increasingly lands in Next.js and TypeScript, • Cloud: AWS - a core part of our architecture, and where we're headed deeper, • CI/CD: automated pipelines for build, test and deploy, • Local dev: Docker Compose (containers run locally only, not in production), • Plus MySQL, Stripe, and a growing set of integrations Where we're going: a serverless architecture on AWS, serving the web app today and the mobile apps we're about to introduce. You won't inherit these decisions - you'll help make them. • Features end to end, from UI to data model, shipped at pace, • The move towards serverless on AWS, and the gradual retirement of the legacy Python API, • CI/CD pipelines and the path to production, • Third-party integrations: payments (Stripe), banking (Revolut), telephony and email (Twilio, Resend), • The groundwork for mobile apps running on the same platform as the web, • Several years shipping production software across the stack - strong React/TypeScript, and solid backend experience in whatever language got the job done, • Hands-on AWS experience, ideally including serverless (Lambda, API Gateway, or similar), • CI/CD is second nature - you automate the boring parts, • Comfortable with Docker for local development, • Pragmatic about tools: picks the right one for the job, not the fashionable one, • Comfortable in an early-stage startup: ambiguity, shifting priorities, direct access to the founders, • Bonus: experience shipping mobile apps, migrating legacy systems, or building marketplace products #J-18808-Ljbffr

At Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal, we provide a lifeline and deliver opportunities to cross-border communities that need it most through cutting edge finance and tech.Zepz is the power behind WorldRemit and Sendwave, driven by the mission to celebrate the incredible impact migrants have, both at home and abroad. We're not just moving money; we're building a world that truly recognizes and supports global connections. We look for mission-driven builders who thrive in a fast-paced environment connected to a true purpose. We’re an always developing team of experts that enjoy problem solving and bring clarity to tough challenges. At Zepz, we are Relentless Learners, always seeking feedback, and Responsible Owners, treating company resources like your own. We depend on Transparent Communicators who keep the team aligned through open, honest talk. • Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other., • Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering., • Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve. We believe in empowering colleagues because we genuinely trust our team. Our culture is founded on this high trust, which naturally encourages the high ownership that drives us to meet our shared high expectations and deliver high performance. While we have all the tools to work remotely, we value the purpose and benefits of in-person connections so we expect our teams to come to the office on a regular basis, and therefore be within a comfortable commutable distance from our London office. Alongside a great office environment, think unlimited annual leave , great healthcare benefits, and employee discounts. We want you to thrive and focus entirely on making your biggest impact! In turn, we expect you to bring high ownership and commitment to your work. This is a place where we value trust and high performance, and we'll provide the environment and support needed for you to excel. As a Senior Backend Engineer in the FinCrime domain, you will work within a cross-functional feature team building the services that detect and prevent financial crime across WorldRemit and Sendwave, spanning transaction monitoring and alert generation, customer screening, enhanced due diligence, and customer risk rating. These are high-throughput, regulator-facing systems where every decision has two costs: a missed risk, or a legitimate customer stopped mid-transaction. Getting that balance right is the job. You will have the autonomy to make platform decisions and provide insights to the rest of the team. You'll collaborate closely with engineers of varying experience levels and interests, helping to improve and develop our services, build pipeline, and tooling. Much of what we're building now is agentic AI workflows that tackle FinCrime problems at scale: agents that triage and investigate alerts, gather the evidence an analyst would otherwise assemble by hand, and draft the narrative behind a regulatory submission. Done well, that clears false positives faster than any team could on its own and leaves our analysts on the cases that genuinely warrant them. There's a lot of regulatory and domain context to absorb alongside the systems, and you'll have the support and time to ramp up properly. You'll be committing, reviewing, and shipping code early on, with the support and time to ramp up properly. There's a lot of regulatory and domain context to absorb alongside the systems. Reliability is core to the role: the team owns its services in production, and you'll take part in the on-call rotation, responding to incidents, supporting production, and driving remediation and long-term fixes. A screening outage or a rule that silently stops firing is a compliance event, not just a degraded service, so detection and evidence matter as much as the fix. • Several years of experience building backend services at scale., • Strong understanding of modern JVM development centered around Java and the Spring ecosystem (Spring Boot)., • Proficiency in Java; interest in or experience with Kotlin or Python is a plus., • Experience designing and operating REST/gRPC APIs, event-driven and streaming systems (e.g. Kafka), and relational databases (e.g. PostgreSQL)., • Comfort integrating and operating third-party vendor platforms, where you own the reliability of something you don't control., • Experience working with large transaction and event datasets, and enough SQL to investigate a question yourself rather than wait on someone., • Ability to work with AI in a safe, structured environment., • Ability to work with tools like Grafana and Loki for debugging and fault finding., • Some understanding of Kubernetes, ArgoCD, and AWS cloud is advantageous, as well as technologies like Terraform., • You take pride in writing readable, well-designed, and well-tested software., • You will improve code structure and have an impact on architecture., • You will actively review tech designs and code from others., • You'll improve monitoring and the health of your team's systems., • You'll participate in on-call and production support — triaging incidents, restoring service, and following through on remediation so issues don't recur., • Designing and building the services that generate, enrich, and route financial crime alerts across both brands., • Building agentic workflows that investigate alerts end to end, and the evaluation harnesses that prove they are safe to trust., • Integrating and owning the reliability of third-party monitoring and screening platforms., • Turning analyst workflow pain into tooling, working directly with the compliance teams who use it., • Making the whole thing auditable, because every automated decision has to be explainable to a regulator after the fact., • Experience with transaction monitoring, screening, or case management platforms (Unit21, Actimize, ComplyAdvantage, LexisNexis or comparable)., • Experience building or operating rules engines, risk scoring, or automated decisioning systems., • Familiarity with AML and CFT regulatory requirements in international payments, including regulatory reporting obligations., • Experience in fintech or other regulated, high-availability environments., • Familiarity with any of the communities we serve. As Zepz continues to build AI into how we work, we expect everyone to engage with it as a core part of their role. For this position we are looking for: • A genuine curiosity about AI and how it can be applied in your area of work — from accelerating analysis and insight generation, to improving how we design and deliver processes and communications., • Practical experience using AI tools in a professional context — whether to connect information, draft content, build frameworks, or create insights from data. We want people who actively use AI to increase productivity, not those who are waiting to be told to., • Strong AI literacy — an understanding of what AI assistants can and cannot do, how to prompt effectively, and how to critically evaluate AI-generated output before using it., • Awareness of the ethical considerations and responsible use of AI in the workplace, particularly in the context of sensitive data, customer experience, and compliance., • Prior experience using Claude (Anthropic) is a nice-to-have but not essential — what matters most is that you are genuinely engaged with AI as a tool, comfortable experimenting, and eager to share what works with your wider team If you want to join us in our journey to help break barriers in financial access and improve lives globally, there's no better place or time to join. Our global team of 800+ people is spread across six continents. We aspire to hire the best mix of people from former Olympians to YouTube influencers and we speak over twenty languages. This incredible diversity isn't a bonus; it's the engine that lets us serve the world. #J-18808-Ljbffr

Running a business today means operating in one world and understanding in another. The owner lives in a stream of real-world events - deliveries, staffing, inventory, customers - context-switching into spreadsheets, dashboards, and reports to make sense of the data. These two realities never quite line up. Cypress collapses the distance between business reality and understanding. We are building a generational company to enable the future of ownership. Our platform continuously models a business as it runs, constructing a living representation that agents can act on and owners can collaborate with. The result is something that hasn't existed before: businesses that understand themselves. This changes who can own a business, how those businesses are operated, and how far they can go. Cypress Labs is backed by top-tier venture capital and a roster of angel investors with operational expertise. Founded by Spencer Wilson (MIT, Marshall Scholar, UCL neuroscience PhD, previously Ctrl-Labs and Trisk Bio) and Josh Hone (first commercial hire at bootstrapped Quorum, COO at venture-backed Column). We're working in person in London. We're building a system that autonomously constructs, refines, and reasons with mathematical models of real businesses, in order to simulate, plan, decide, and act. You'll bring this system to life by writing software across the entire stack, every day. You'll work on whatever needs the most attention: infrastructure, data pipelines, integrations, agent orchestration, domain modeling. You'll work directly with early design partners (real business owners, real operations) to close the gap between what we've built and what they need. You'll inject your opinions into architecture and strategy alongside the founders. Extend the core platform: event sourcing, domain modeling, agent orchestration Ship, operate, monitor, maintain production infrastructure Build AI agent capabilities: tool design, context assembly, sub-agent architectures, evals Integrate external systems: POS, accounting, labor scheduling, weather, banking APIs Onboard new merchants, diagnose issues, and translate operational needs into system capabilities Experience shipping production software at an organization where craft and tempo are taken seriously. NB: we are open to a broad range of experience levels if your work speaks for itself and we see clear indications of high learning rate. Range across the stack. You've worked across backend, infrastructure, and data layers, and you're quick to grok the unfamiliar. Craft in code. Clean, concise, well-reasoned. Your instinct is to simplify. Systems thinking. You reason about how components interact, where state lives, how data flows, and what breaks under load or drift. Comfort with math. You don't need to be a mathematician, but stochastic differential equations, Bayesian inference, and Monte Carlo methods shouldn't scare you. AI-native engineering. You've built with LLMs beyond wrapper apps: systems where AI is tightly integrated with structured tools, domain logic, and feedback loops. High agency. Ambiguity energizes you to find clarity. Customer instinct. You're comfortably talking to business owners, dealing with messy real-world data, and translating evidence into engineering priorities. Cypress is an unusually ambitious technical problem. Autonomously modeling real businesses, running in production, under real constraints. If you want to build agents that matter rather than demos, this is the place. Founding-team equity and direct ownership of the stack. You'll inject your opinions into every technical decision alongside the founders. Our team will stay small, and our ambitions will stay big. We aim for a high revenue-to-headcount ratio and a high-trust, high-ownership culture. Backed by a top-tier venture firm and an angel roster of experienced operators. Product is already working with early design partners. £100k to £155k base, depending on experience. Meaningful equity reflecting a founding role. #J-18808-Ljbffr

Sterlings City Of London, England, United Kingdom Base pay range: Our client is a full service Investment Bank with an established SAM team. They are looking to hire someone with approximately 2+ years of Software Asset Management experience to support increased workloads. Location: City Of London, England, United Kingdom • Support increased workloads within the Software Asset Management team., • Experience in a large corporate organisation; financial services experience is beneficial but not essential., • Experience and knowledge of Software Asset Management processes, due diligence and licensing., • Experience attending and chairing meetings as a Software Asset Management SME., • Experience understanding and working with Contracts and End User License Agreements; ability to represent entitlements in the SAM Tool., • Practical understanding of ITAM processes (HAM and SAM)., • Understanding of infrastructure, networks, security and how these functions are key to IT Asset Management. Please note the client operates 2 days per week hybrid in the office and 3 from home. • Associate, • Full-time, • Analyst, • Investment Banking Get notified about new Software Asset Manager jobs in City Of London, England, United Kingdom. Note: This listing may include other roles or postings for the same client; the core role described above is Software Asset Manager in Banking. #J-18808-Ljbffr

AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user/agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest‑moving spaces in tech: the emerging intersection of AI and cybersecurity. It’s a market still being defined, and we’re among the first to build natively for it—protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and traction. We’re led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In‑Q‑Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn’t a nice‑to‑have. It’s mission‑critical infrastructure. That’s what we build. Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work—from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We’re a small but mighty crew where every person plays a critical role and we’re committed to using AI to work smarter and faster. We’re looking for a Backend Engineer who has an appreciation for all things security and system interconnectivity. This is a very hands‑on technical role where you will be responsible for designing, building and maintaining scalable integrations between our core applications, identity providers and data security platforms. • Own deliveries and features from start to finish, • Design, build, and own backend services in a microservices‑based, event‑driven architecture, • Implement core domain logic that drives key product workflows and system behavior, • Ingest and process high‑volume usage and event data from customer‑facing endpoints, • Build backend services that support operational, analytics, and reporting use cases, • Model, persist, and manage domain data, enabling querying, filtering, and lifecycle management, • Expose well‑designed APIs and webhooks consumed by customers, UIs, and external systems, • Power customer‑facing UI experiences by providing backend APIs for visibility, analytics, and configuration, • 3–5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven/Gradle), • Strong understanding of event‑driven architectures, asynchronous processing patterns, messaging systems, and distributed system design, • Proven experience designing and maintaining RESTful APIs, webhooks, and service‑to‑service integrations, • Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms, • A track record of delivering performant, reliable and scalable applications, • Excellent collaboration and communication skills in cross‑functional teams, • Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments, • You understand not just how to build systems, but why architectural decisions matter, • You can balance scalability, reliability, maintainability, and speed of execution, • You think critically about security, observability, and operational excellence from day one, • Love the idea of blending software development, distributed systems and data‑intensive applications, • Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers, • Thrive in fast‑paced startup environments where ambiguity is the norm, • Enjoy shaping culture and engineering practices, not just writing code, • Leverage AI tools as an engineer to help you build smarter, faster and better This isn’t just a job – it’s a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we’re just getting started. We’re building at the intersection of AI and security, carving out an emerging market where the rules haven’t been written yet, and the people who join now will write them. We believe today’s talent is tomorrow’s success, and we’re committed to creating an environment where you can do the best work of your life. • Recognized momentum – We made the Rising in Cyber 2026 list, a signal that the market is taking notice, • Rare market opportunity – Join early in a category‑defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech, • Competitive pay and meaningful equity – A real stake in Harmonic’s success, not a token gesture, • Comprehensive benefits – 401K, pension plan, generous PTO, and flexible hybrid work, • A small, high‑trust team that values transparency, creativity, and continuous learning – no politics, no bureaucracy, • Thoughtful leadership – that cares deeply about your growth, not just your output, • Annual global off‑sites – past trips include Lisbon, Portugal and Nashville, TN, • Real ownership – you’ll shape the product, the culture, and the direction of the company from day one, • Flourish in the Unknown: We embrace new, unfamiliar situations that require initiative and rapid decision‑making. We orient ourselves quickly and deliver results with minimal guidance., • Never Full: We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more., • Perfect Harmony: We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work. Compensation Range: £89K – £105K #J-18808-Ljbffr

Searchable is an agentic marketing platform built for the age of AI search. ChatGPT, Claude, Perplexity and Google AI Overviews have transformed how people discover information. Brands now need to measure and optimise their visibility across all of the major AI search engines. We help companies grow their organic presence across SEO, AEO, and GEO through a fully agentic platform that identifies opportunities, recommends actions, and automates improvements with Searchable’s AI agent. We’re at $5M ARR in just 10 months, backed by top angels and VCs, and building the team that will define the category. We’re office-based five days a week near London Bridge. If you thrive in a startup culture where people put in hours because they love solving hard problems and taking radical ownership, you’ll fit right in. The Role Join a small but rapidly growing engineering team, working alongside founders who’ve scaled companies before. As a Senior Engineer, you’ll shape the architecture, the stack, and the standards that the engineers after you inherit. What that looks like day to day: • Own features end to end, from data model to the interface a customer sees, • Design systems that process large volumes of AI-search interactions reliably, • Ship weekly and iterate on real usage, not quarterly plans, • Make technical calls that shape product direction, not just implement specs, • Help hire and mentor as the team grows How we think about tech: This is product engineering — you’ll take features from concept to delivery, not just implement tickets. We’re pragmatic: right tool for the right job approach. You’ll work across the full stack, and lean on your prior experience scaling backend and distributed systems. What we’re looking for • You have several years shipping production software and are happy across the full stack, experience scaling backend and distributed systems, and/or hands‑on experience building production‑grade agentic systems, • You have strong opinions on system design, loosely held: you’ll argue your corner, then follow the evidence, • You’re comfortable with ambiguity and turn vague problems into shipped features, • You take ownership beyond your immediate remit, • You care about craft: testing, readability, reliability and services that outlive their first version, • You want to build something that changes how marketing teams work, and you want a real stake in the outcome What you can expect from us • Meaningful early‑stage equity pre Series A, • Enhanced salary sacrifice pension, • Monthly fitness and wellbeing reimbursement, • Flexibility in hours – around life and family commitments #J-18808-Ljbffr

Opportunity: HGV Class 1 Driver Contract: Permanent Location: Omagh Hours: 45 (Monday – Friday, including Saturday AM every other week) Balloo Hire Centres is a leading provider of tool, plant and welfare equipment for businesses and DIY needs in Northern Ireland. Balloo Hire Centres is part of The Briggs Equipment Group and therefore can offer a local solution with corporate level support. We have a new opportunity for a HGV Class 1 Driver to join our transport team in Omagh. In the role you will be: Delivering and collecting a range of hire equipment from building sites, businesses, events, industry, and homes across Northern Ireland. Carrying out daily checks on your vehicle. Keeping your vehicle clean, tidy, and presentable at all times. Be health and safety conscious in a fun, fast-paced environment. All applicants must be age 25 or over for insurance purposes. What will help you to excel in this role: Class 1 clean licence as a minimum Up to date Driver CPC and Driver Digi Tachograph card Excellent communication skills and team player. Good geographical knowledge of NI What you can expect from us: Competitive base salary Future development and career opportunities Attractive driver incentive scheme Contributory pension scheme with employer contributions up to 6% Paycare and eyecare health scheme High street voucher scheme Profitshare bonus based on business performance What's next: If you are interested in joining us at Balloo Hire Centres, then please click on the apply now button and a member of the team will be in touch. Not sure if this is the right role for you? Please feel free to visit the careers page on our website and send us your CV speculatively for a member of the team to review. If you require any reasonable adjustments to assist you in the interview process, then please contact a member of the Recruitment Team, and inform them prior to attending so we can ensure these are met. TPBN1_UKTJ

Permanent Belfast or London (Hybrid) SC Held, DV Eligible Morela is hiring a Defence Security Assurance Lead for a fast-growing UK sovereign AI scale-up. This is a permanent, full-time role, hybrid from either Belfast or London with travel to customer sites, reporting into the Security Lead. You will need active SC clearance and be eligible for DV. On offer is a competitive salary, pension, equity options and one of the most generous working patterns you will find anywhere. Our client builds a sovereign AI platform for organisations that can't compromise on security, including defence, national security, central government, policing and heavily regulated industries. They deliver real capability into some of the UK's most sensitive environments, so every feature is threat modelled, hardened and properly assured before it goes near customer data. Security is central to the business and is now getting serious investment. The company is scaling a dedicated assurance function to match its growth in defence, and this hire is one of the founding roles in it. You will own cyber assurance for the products and services delivered to the MOD and to allied defence and national security customers. Your job is to build the evidence-led assurance that customer risk owners depend on, applying Secure by Design for both UK and international partners. You will work with engineering, product, IT, commercial and leadership, and directly with customers and assurance authorities. The scope is broad and will change as the business grows, so it suits someone curious and self-driven who wants a real hand in shaping a security function and a direct influence on new capability for defence. • Lead Secure by Design for the product across defence deployments, in line with JSP 440 and JSP 453, • Develop assurance cases using a claims, arguments and evidence approach, built to keep pace with rapid agile delivery, • Assure AI-enabled capability against JSP 936 and the wider MOD framework landscape, • Apply NIST CSF, RMF, AI RMF and SP 800-53 where they fit, • Act as the main point of contact for customer risk owners and cyber assurance authorities, • Help shape and deliver the overall security strategy, and play a key part in building out the security function as the business grows, • Champion good security practice across engineering teams, • Security assurance experience within UK defence or national security, with hands-on application of Secure by Design, • Working knowledge of JSP 440 and JSP 453, plus awareness of DCPP and Def Stan 05-138, • Experience turning technical evidence into robust assurance cases, • Threat modelling on live systems using STRIDE, attack trees or similar methods, • CISSP certification, • Active SC clearance and eligibility for DV, • Experience assuring AI or machine learning systems, or knowledge of JSP 936, • Understanding of AI attack types such as prompt injection, data poisoning and agent tool misuse, including MITRE ATLAS, • Familiarity with NCSC secure AI guidance and the UK AI Cyber Security Code of Practice, • Structured assurance notations such as CAE or GSN, ideally linked to machine-readable evidence, • Assurance work in air-gapped or classified environments, • Running, auditing or developing ISO management systems such as ISO 27001 or ISO 42001, • Permanent, full-time, hybrid from Belfast or London, with travel to customer sites, • Competitive salary, company pension and equity options in a high-growth scale-up, • A working pattern that gives back around 30 extra days a year on top of annual leave, with full four-day weeks over the summer and December, regular paid Fridays off and early Friday finishes, • Cutting-edge AI tools used as everyday working kit, • A delivery-first culture that values impact over optics and people over politics, with real influence on how the business runs as it grows #J-18808-Ljbffr

Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. Join us as our first dedicated Data Scientist to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what characterizes an underserved category? We sit on a lot of data we do not use yet, and you are the person who turns it into decisions. You work fully autonomously alongside our founder and the team, next to a backend engineer who owns the pipelines and infrastructure, so your time goes into the questions rather than the plumbing. On a typical day, your tasks may include: • New data sources: discovering and opening up untapped sources, with creative scraping and acquisition techniques when standard APIs run out, • Trends and audiences: analyzing trends, audience behavior and performance across streaming and social to find the underserved categories and the next growth opportunity, and proposing the next step, • Prediction: prototyping and deploying ML models on AWS for virality prediction and content analysis, and checking whether they hold up in production, • Experiments: designing and reading A/B tests, holdouts and spend experiments across our releases and campaigns, and telling the team where the next dollar should go, • Numbers people trust: owning the dashboards and reports leadership runs on, and investigating what really drives a metric when it moves, • AI-native workflows: using LLMs and agentic coding tools to accelerate data cleaning, analysis and reporting We look for battle-tested data scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You don't just build models: you solve business problems by finding creative ways to access hard-to-reach data and translating statistical findings into actions the team takes. • Background: a degree in Data Science, Statistics, Computer Science, Physics, Math or a related quantitative field, • Experience: 3 or more years of hands-on data science in fast-paced business environments, at Tier 1 consultancies, Big Tech, high-growth start-ups and scale-ups, or media industry leaders, • Python: expert-level proficiency with the standard data science and ML frameworks, and SQL as a daily tool, • Data acquisition: you have scraped and acquired raw data from new sources, building creative solutions to reach datasets beyond standard APIs, • Statistical rigour: you design and read experiments properly, you know when a signal is noise, and you have run A/B tests or causal analyses that changed a decision, • Models in production: you have deployed models that people actually used, and you know what it takes to keep them honest over time, • AI-native: extensive hands-on experience with agentic coding tools and LLMs in your data workflows, • From data to decision: you find the opportunity in the data and propose the next step, and your dashboards and visualizations (standard libraries or Tableau) are the ones leadership trusts, • Collaboration: you work well across engineering, product and business teams, and colleagues would describe you as hard-working, ambitious and persistent, • Pace: you thrive in a fast-paced and performance-oriented environment, • A big plus: you're obsessed with music, video or social media You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. We hire on a rolling basis. Earliest starting date is always ASAP. Once You Begin Our Process, You Can Progress From Start To Offer Within a Week, Depending On How Quickly You Can Move Through Each Stage • Initial interview: 30-minute introductory call, getting to know you, • Case interview: 90-minute case discussion, present and debate your skills, • Founder interview: 90-minute interview with our CEO, going deep on all topics, • Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role. #J-18808-Ljbffr

Description Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS’ multi-tenant infrastructure. As a Senior Security Engineer, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you’ll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: government/publications/united-kingdom-security-vetting-clearance-levels Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Experience with AWS services or other cloud offerings Experience working in identifying security issues and risks, and developing mitigation plans Experience (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques Experience (non-internship) in scripting, programming, and security code reviewing in a common programming language Experience (non-internship) in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools Experience as a mentor, tech lead or leading an engineering team Experience applying threat modeling or other risk identification techniques or equivalent Experience with security in service-oriented architectures/microservices and web services Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. CoMind One measures the brain from outside the skull. Fifteen scientists (optical physicists, signal processing specialists, physiologists) turn raw optical interference signals into continuous measurements of cerebral physiology a clinician can act on. What slows them down isn't the science; it's the engineering around it. The last head-to-head comparison of two novel methods took six weeks, and most of that had nothing to do with the methods. You'd design the architecture that fixes this: how data, compute, pipelines and evaluation fit together, and the standards that hold it in place. None of it exists yet in any deliberate form, so the shape is an open question. When it works, a scientist describes the comparison they want and gets back metrics, plots and a reproducible record from one command, or one prompt. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. Problems, not specifications. How they get solved is yours to decide. Reprocessing. Change one stage of the pipeline and you currently pay for a full re-run. Re-running a six-month-old analysis with new parameters should be routine and cheap. Evaluation. Comparison and simulation harnesses are rebuilt bespoke every time. They should be something a scientist calls, not something a scientist commissions, including scientists who don't write code, and agents running analysis strands on their behalf. Compute and data access. Reproducible environments, sensibly-sized cloud resource, and datasets you can find and trust without asking whoever made them. Engineering standards. Testing, CI and repository structure across a codebase written largely by scientists. Knowing where to enforce and where to reduce friction instead matters more than the tooling does. The research-to-software boundary. We already have a real interface contract with our software team, which is more than most research groups can say. It should become a gate a method passes, not an event that consumes weeks. Regulatory evidence as a by-product. IEC 62304 traceability artefacts generated from CI rather than written alongside it. Growing the capability. Mentoring junior developers in the team, and shaping this function as it grows. AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Substantial software or platform engineering experience, a good deal of it building tooling for scientists, researchers or quants rather than for end customers Deep Python, and pipeline or workflow systems where correctness and reproducibility mattered as much as throughput Cloud compute and storage (AWS preferred), containerisation, infrastructure-as-code, cost-aware provisioning Tooling you built that people chose to use. Adoption you earned rather than mandated is the strongest single signal for this role The ability to sit with a scientist, understand the analysis well enough to abstract it correctly, and push back when the evaluation itself looks wrong A record of raising the standard of the engineers around you without formal authority over them Comfort defining a function rather than joining one, on a small team with a real deadline: shipping a usable road early and widening it, rather than designing the complete platform first Regulated environment experience (medical devices, diagnostics, pharma, aerospace), particularly IEC 62304 or software as a medical device Time-series or signal processing workloads, physiological data, or scientific instrumentation Experiment tracking, model registries or MLOps tooling, aimed at research reproducibility rather than production inference Behaviour-driven testing or specification-by-example as an interface between research and engineering Introducing agent-assisted workflows into a technical team's actual day-to-day practice Having been the first platforms hire into a science organisation before Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life insurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores Disclaimer - We use Granola, an AI notetaker, throughout our interview process to help capture notes. It's used only for note-taking during the conversation. Transcripts aren't saved to shared drives or stored externally. Let us know if you'd prefer we don't. #J-18808-Ljbffr

People on the move deserve a bank that moves with them. Since 2022, Aspora has been building a borderless financial operating system that makes money as mobile and transparent as its users. Backed by influential venture capitalists like Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator & Global Founders Capital. We're a team of 150+ across India, the UK, the UAE, EU and the US, working with extreme ownership, radical candour, and an obsession with customer impact. We celebrate builders who question assumptions, ship fast, and turn regulatory complexity into elegant solutions. If you’re driven to redefine what global banking can be, we’d love to build the future with you. People build lives across borders, and Aspora moves their money with them. Aisha is our next bet: an AI finance agent for NRIs that does the work end to end. Most agent companies build the intelligence and hope the rails come later. We already have the rails. This role exists to build the intelligence NRIs will trust with real money. You will own Aisha completely: product, roadmap, team and results. You’ll report directly to our CEO. You’ll work closely with compliance, legal and our payments teams across the UAE, UK and India. The hard calls are yours: what to build, buy or partner on, and when the agent is ready to act. To you, an AI agent is only worth building if it finishes the job. You’ve built consumer products people rely on every day, and you’ve shipped AI that holds up in the real world. • You’ve built consumer before. You founded or ran a product people used daily, and you know what users forgive and what loses their trust for good., • You’ve shipped AI that works in production. You have operated evals, orchestration, tool use and failure modes yourself, not just read about them., • You bring money-grade judgement. You’ve worked where mistakes move other people’s money, or you can show you learn regulated domains fast., • You lead by doing. You stay close enough to the product and the code to make the call yourself., • You’ve moved quickly everywhere you’ve been. Your track record shows people kept trusting you with more, sooner than expected., • You’ve been tested. A failed launch, a company that died or a regulatory wall. You made sound calls under pressure and followed through to the end. Most importantly, you want to prove that AI can be trusted with people’s money. This role comes with a founder’s mandate, inside a company that already has licences, partners and customers. • Own Aisha end to end. Take it from early build to a product NRIs trust with real money tasks., • Shape the agent stack. Decide what to build, buy or partner on across models, orchestration, data connections and agent payment rails., • Make reliability the product. Build an agent that completes long, multi-step tasks, with evals, guardrails and failure modes treated as core features., • Ship consumer-grade experiences. Own onboarding, activation and retention, starting with a hundred research sessions a week that you recruit yourself., • Build the founding team. Hire senior engineers first, then add design and data as the product earns them., • Act safely on licensed rails. Partner with compliance and legal so the agent can move money without ever becoming the incident. What you build will decide how far Aspora goes beyond payments, and how fast we get there. • You’ll define what a trustworthy AI finance agent looks like, and own the outcome it delivers., • You’ll work directly with our CEO, with compliance, legal and payments as partners from day one., • You’ll build on licences, bank partnerships and live corridors that most agent startups spend years chasing., • You’ll own product, roadmap, team and results from the day you join., • Competitive salary, comprehensive benefits, and ESOPs aligned with Aspora’s long-term vision. #J-18808-Ljbffr

Senior Python Engineer at Webbyfox (trading name of Yira Ltd)#### (2 days, 19 hours ago)## Job TitleSenior Python Engineer## Job DescriptionWe're looking for a Senior Python Engineer to design, build, and scale the backend systems that power our products. You'll own services end to end — from architecture and API design through to deployment and monitoring — and work closely with product, data, and DevOps teams.Key responsibilities: - Design, develop, and maintain scalable, high-performance backend services and APIs in Python - Lead technical design discussions and make sound architectural decisions - Write clean, well-tested, maintainable code and champion engineering best practices - Review code and mentor junior and mid-level engineers - Optimise application performance, reliability, and security - Collaborate with cross-functional teams to translate requirements into technical solutions - Contribute to CI/CD pipelines, observability, and production support - Stay current with the Python ecosystem and help evolve our tech stack## Restrictions Telecommuting is OK Agencies are OK## Requirements 5+ years of professional software development experience, with strong expertise in Python Solid experience with at least one major web framework (Django, FastAPI, or Flask) Strong understanding of RESTful API design; GraphQL experience is a plus Proficiency with relational databases (PostgreSQL/MySQL) and ORMs; NoSQL experience (Redis, MongoDB) is a plus Experience with asynchronous programming (asyncio) and task queues (Celery, RQ, or similar) Hands-on experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes Strong testing discipline (pytest, unit/integration testing, TDD) Familiarity with CI/CD, Git workflows, and monitoring/logging tools Good knowledge of software design patterns, system design, and security best practices Excellent communication skills and experience mentoring other engineers Bachelor's degree in Computer Science or a related field, or equivalent practical experience## About the CompanyWebbyfox is a UK-based Python web development agency. Our senior Python engineers build web applications and APIs for UK teams using Django and FastAPI.We deliver new Django applications and FastAPI services, upgrade and rescue ageing Python/Django codebases, and provide Python developers for hire or white-label work. We also offer Wagtail CMS, AI-powered search and agents, and PHP (Laravel/WordPress) maintenance. Our stack centres on modern Django (5.2 LTS / 6.0), FastAPI and PostgreSQL.Our recent work includes LetRecord, a compliance tool for landlords and letting agents in England, and RoomNest, a room-rental marketplace covering London, Birmingham and Manchester. We build to WCAG 2.2 AA and the GOV.UK Service Standard for public-sector projects.We are remote-first and work across EU and US hours. Clients own their code from day one, and we work in focused four-week build cycles. Webbyfox is a trading name of Yira Ltd, registered in England & Wales.## Contact Info Contact: Rizwan Mansuri E-mail contact: Web: careers/senior-python-developer/## Employment typeFull-time## Desired skills:Python,Django,FastAPI,Flask,PostgreSQL,MySQL,Redis,MongoDB,Celery,AWS,gcp,Azure,Docker,Kubernetes,Pytest,Back end,Big Data,Cloud,Database,Front end,Lead,Machine Learning,Operations,Systems,Testing,Web## Location:London, UK (Remote OK)Apply for this JobThisjob listingwas aggregated frompython.org/jobs/To apply for this job, please visithttps://www.python.org/jobs/8183/ #J-18808-Ljbffr

What we do. Electric Car Leasing Why we do it. Greener. Fairer. Future. We’re looking for a Senior Fullstack Software Engineer (Python and React) to join our product and engineering team building the systems that power our ability to revolutionize the electric car leasing industry. Our tech stack is Python with GraphQL, React with Next.js, PostgreSQL and noSQL databases, running on AWS. • Work within a dedicated cross-functional team on key products for our customers or our internal teams., • Build APIs and integrate with our own and third party services to optimise and automate processes., • Develop frontend applications to create experiences that wow our users., • Create performant systems that work consistently across modern browsers and devices., • Care about the code you write and its future maintainability., • Contribute ideas, share knowledge, support, mentor, and raise the game of those around you., • Expertise in Python and React., • Proficiency working with multiple data sources and designing expressive APIs using GraphQL., • Experience working with design systems and component libraries., • Excellent understanding of fundamental coding principles and best practices and experience applying these to create robust, scalable, maintainable software., • Proven experience of collaborating within teams and across disciplines., • A track record of taking ownership of the development of features from inception through to delivery., • Proficiency in TypeScript and Next.js., • A working knowledge of AWS and infrastructure as code (IaC) practices., • Experience with event driven architecture/systems (EDA)., • Production experience with AI tech and tooling, • Octopus Electric Vehicles, part of the Octopus Energy Group, won the Sunday Times best company to work for in 2024. We were named6th out of the top 100 start-upsto work for by Tempo in 2025 and on Glassdoor we were voted50 best places to work in 2022. Our Group CEO, Greg has recordeda podcast about our cultureand how we empower our people., • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!, • Octopus Energy Group is aunique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! Visit our perks hub -Octopus Employee Benefits, • just to let you know, we are dog friendly company so you may see our 4 legged friends in the offices - feel free to bring yours! Rest assurance though, we've taken lots of precautions for those who have allergies, • We use AI to help us assess applications fairly and objectively. We’re totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we’re really interested in hearing your unique perspective and real-world stories. That’s the stuff we can’t get from a bot or a prompt! About us The electric revolution has arrived - and from 2035 you’ll no longer be able to buy a new petrol or diesel car in the UK. We’re building a whole new way for drivers to join the electric charge and not only learn about and shop for their EV online, but experience a 'lease for life' through an industry changing customer experience. This is the chance to join one of the UK’s most exciting start‑ups – making it easy for individuals and businesses to go electric by getting their car, charger and energy all in one cracking deal. Octopus Electric Vehicles launched in 2018 to make it seamless to switch to cleaner, greener driving. Our mission is to drive sustainable change, decarbonise the planet and provide our customers with fair pricing and a fantastic experience. We're an Octopus Energy company—an innovative new energy supplier. We are part of the Octopus Energy Group, which seeks to improve the lives of millions of people by transforming the industries we operate in. The Octopus Group incorporates Octopus Energy, Octopus Healthcare, Octopus Investments, Octopus Property, Octopus Ventures and Octopus Labs. If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.Need any specific accommodations?Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. #J-18808-Ljbffr

AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user / agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest-moving spaces in tech: the emerging intersection of AI and cybersecurity. It's a market still being defined, and we're among the first to build natively for it - protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and serious traction. We're led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In-Q-Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn't a nice-to-have. It's mission-critical infrastructure. That's what we build. Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work — from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. You will play a key role in helping prospective and existing customers understand how Harmonic can address their unique challenges. Your days will be a mix of engaging with prospects and existing clients to demonstrate the capabilities of our product through technical storytelling, building proof of value (POV) plans, and executing them smoothly and successfully. Our Solutions Architects are experts in bridging the gap between the customer and our product and engineering teams, ensuring that real-world customer requirements are clearly understood, helping to drive the evolution of our product. Success in this role means building strong relationships with customers, guiding them through their AI adoption journey, and ensuring they feel confident and empowered to use Harmonic’s solution to its fullest potential. Responsible and accountable for all pre-sale technical activities Collaborate closely with customers to create and execute tailored POCs that highlight how Harmonic simplifies data protection for the GenAI era Work as part of the EMEA/DACH sales team to close new business opportunities and support existing customers through the lifetime of their contracts Work closely with product and marketing to turn deep technical insights into compelling content and messaging Stay on top of the competitive landscape to help shape our story and spotlight what makes Harmonic stand out A proven track record in a solutions architect, solutions engineering, or pre-sales engineering role in the enterprise security space Hands‑on, day‑to‑day experience with AI productivity tools — both browser‑based (ChatGPT, Gemini, Perplexity) and application‑integrated (Claude, Claude Cowork, GitHub Copilot, Cursor) — and a practical understanding of how these tools handle sensitive data in enterprise environments Demonstrated ability to thrive in fast‑moving environments. Highly organized, able to manage competing priorities and a high volume of concurrent engagements, context‑switch quickly, and make sound judgment calls about where to focus without waiting for direction Hands‑on experience deploying and managing software in enterprise environments, including working with MDM solutions such as Intune, JAMF, and Kandji Comfort operating in ambiguity. Confident using new tools and environments, and troubleshooting live issues under pressure Scripting experience (Python, shell, PowerShell, or similar) A proactive, hands‑on mindset. You take ownership, solve problems independently, step up for new challenges, and support the people around you Experience in customer‑facing post‑sales roles such as technical customer engineering or technical account management Familiarity with value‑driven solution selling. Able to connect technical capabilities directly to customer business outcomes and articulate ROI throughout the sales cycle This isn't just a job - it's a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we're just getting started. We're building at the intersection of AI and security, carving out an emerging market where the rules haven't been written yet, and the people who join now will write them. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Recognized momentum - We made the Rising in Cyber 2026 list, a signal that the market is taking notice Rare market opportunity - Join early in a category‑defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech Competitive pay and meaningful equity - A real stake in Harmonic's success, not a token gesture Comprehensive benefits - 401K, pension plan, generous PTO, and flexible hybrid work A small, high‑trust team that values transparency, creativity, and continuous learning - no politics, no bureaucracy Thoughtful leadership - that cares deeply about your growth, not just your output Annual global off‑sites - past trips include Lisbon, Portugal and Nashville, TN Real ownership - you'll shape the product, the culture, and the direction of the company from day one We embrace new, unfamiliar situations that require initiative and rapid decision‑making. We orient ourselves quickly and deliver results with minimal guidance. We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work #J-18808-Ljbffr

• PhD in Wet-Lab Virology, Microbiology, Biology, or a related field, or equivalent practical experience., • 3 years of wet-lab experience with dual-use research, high-consequence pathogens, or biological toxins., • Experience utilizing LLMs or narrow-use AI models to analyze and mitigate biological risks., • Authored peer-reviewed publications across microbiology, virology, host-pathogen interactions, protein biochemistry, or immunology., • Experience working in AI safety, evaluations, red-teaming, or applied AI research at a national laboratory, academic institution, or industry setting., • Experience in using command line tools or coding., • Proven application of biosecurity and biosafety concepts, including identifying misuse scenarios of emerging technologies., • Knowledge of challenges of biological weapons, the biological threat landscape, potential mitigations and awareness of relevant stakeholders., • Knowledge of the intersection of microbiology/virology within AI safety and Safety Frameworks in AI., • Active security clearance, or the eligibility to obtain and maintain one. Google’s CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm. We would like to invite applications from qualified biologists/microbiologists for the position of a biologist/microbiologist Subject Matter Expert (SME) in the CBRNE team within the Responsible Frontier AI Research (RFAIR) team, joining SMEs with broad experience across biology. You will work as a Research Scientist, serving as a technical expert responsible for evaluating and mitigating safety risks of frontier AI models (primarily but not limited to LLMs) in the biology domain; specifically, model assistance in the acquisition, development and dissemination of harmful biological agents and other dual use entities. Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. • Be responsible to test, evaluate, and mitigate harmful capabilities of frontier AI models in the biology domain., • Design, develop and execute biology evaluations, assessments, frameworks, and red-teaming strategies to test the capability, safety, and uplift of AI models and support the development of mitigations., • Collaborate with CBRNE/Responsibility engineers to ensure blocks on harmful outputs without overly degrading the model's scientific utility, requiring a deep understanding of dual use science., • Partner with experts in various fields of CBRN, science, AI ethics, policy and safety., • Support the ongoing development and refinement of Google’s CBRNE safety policy, and clearly communicating complex risks, evaluation findings, and mitigation strategies to leadership and technical and non-technical external stakeholders. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. • Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr

We power people’s progress. At Preply, we’re all about creating life‑changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human‑led, tech‑enabled - and it’s creating real impact. We power people’s progress. At Preply, we’re all about creating life‑changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human‑led, tech‑enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human‑led, AI‑enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category‑defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. AI Platform provides the shared foundations that help teams across Preply build, ship, and operate AI capabilities safely at scale. The area includes ML Platform, GenAI Platform, and Agentic Platform. You will lead GenAI and Agentic Platform: approximately 8-12 engineers across two teams, while partnering closely with ML Platform leadership. GenAI Platform owns shared model access, routing, evaluation, observability, prompt and configuration lifecycle, retrieval, grounding, and guardrails. Agentic Platform builds on those foundations with durable execution, tools, state, context, memory, permissions, human controls, agent evaluation, and runtime safety. The two teams share a Product Manager. Together, you will shape strategy, priorities, adoption, and outcomes; clarify what belongs in shared infrastructure versus product teams; and evolve the platform as models, frameworks, and company needs change. Learn more through our Engineering Blog, Tech Radar, and YouTube channel. GenAI and Agentic AI are central to Preply's AI strategy. As the Senior Engineering Manager for GenAI & Agentic Platforms, you'll own the engineering strategy, execution, and organizational health of two complementary teams that take AI workloads from experimentation to reliable production systems. This is a multi‑team leadership role for a manager with strong technical judgment. You won't be the primary implementer, but you'll go deep on architecture and production AI, coach senior engineers, shape platform abstractions and operational standards, and partner with Product, Applied Science, Data, Security, and Engineering teams. • Set the long‑term engineering vision for GenAI Platform and the Agentic Platform, ensuring they operate as a single, coherent platform., • Partner with the Product Manager across both teams to define outcomes, prioritize investments, and measure the impact of the platforms., • Lead and develop approximately 8-12 engineers across two teams through clear expectations, direct feedback, performance management, career growth, and coaching., • Own hiring quality, team composition, evolving team boundaries, and operating models as the platforms and company change., • Guide architecture across model access, evaluation, observability, retrieval, agent orchestration, tools, state, memory, permissions and control planes., • Translate strategy into realistic plans, balancing foundational investment with near‑term product needs while surfacing trade‑offs and maintaining speed, quality, and predictability., • Align senior stakeholders across Product, Applied Science, Data, Security and Engineering on platform standards, build‑vs‑buy decisions and shared priorities., • 8+ years of software engineering experience, including 5+ years in engineering management and experience leading multiple teams or a multi‑squad technical area., • A track record of hiring, coaching, and retaining high‑performing teams., • Strong technical depth in platform engineering, backend or distributed systems, ML infrastructure or developer infrastructure., • Practical experience with production GenAI or Agentic systems and the ability to reason about model access, evaluation, observability, retrieval, agent orchestration, tool use, state, permissions, reliability, cost, and safety., • AI Expertise: You use Agentic AI beyond code generation to support architecture, planning, and decision‑making, while retaining human judgment for architecture, people decisions, business logic, and security, and establishing quality gates and safety nets for team workflows., • Experience leading platform products, with a strong instinct for self‑service, API design, developer experience, adoption and avoiding unnecessary complexity., • Clear communication and stakeholder leadership, with the ability to align teams with different incentives, make sound decisions with incomplete information and revisit assumptions as the ecosystem changes., • Experience managing teams that built AI or ML platforms used by multiple teams., • Experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK, or Temporal., • Hands‑on familiarity with GenAI evaluation and observability, prompt or model lifecycle, retrieval systems, multi‑provider routing or open‑model serving., • Experience making build‑vs‑buy decisions without locking the organization into one provider or framework., • Experience measuring platform success through adoption, customer outcomes, and engineering leverage rather than infrastructure delivery alone., • An open, collaborative, dynamic, and diverse culture;, • A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self‑development;, • A competitive financial package with equity, leave allowance and health insurance;, • Access to free mental health support platforms;, • Access to Gympass‑partnered wellness and gym centers throughout London to promote and support well‑being and physical health;, • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)., • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing., • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience., • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters., • Now is the time - In a fast‑paced world, it matters how quickly we act. Now is the time to make great things happen., • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently., • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions., • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks., • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high‑performing teams that can make a real difference., • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made., • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

Position Title: Senior Security Engineer Reports to: VP Engineering Location: UK, Remote Contract Type: Full-Time, Permanent BibliU is an award-winning, technology-led B2B company transforming the $65bn educational content industry. With a 90% CAGR the past 5 years, we are just getting started. We've cracked the code on Day 1 access to affordable digital course materials for students, while delivering comprehensive campus store solutions that foster human relationships, and increase our stickiness in the world of AI. The result? Measurable impact: 10% higher student retention, 1-point GPA increases, and partnerships with 170 universities serving 600,000 students each year. We've fundamentally changed how universities procure, distribute, and manage learning content. We partner with 4,000+ publishers, including Pearson, Oxford University Press, and Wiley to deliver content to universities, and provide rich engagement data and interactive tools like quizzes that help students actually learn. Founded in late 2015 as an Oxford University spin out, we've grown explosively with 90% CAGR over the last five years, including 65% in FY25, reaching $100m in annual revenue. Our Series B raised $23m led by Nesta Impact Investments (with Guinness Asset Management, Stonehage Fleming, and Oxford Sciences Enterprises). In late 2023, we acquired Texas Book Company (now 'BibliU Campus') to become the only fully vertically integrated player in the market, driving US organic growth which now represents 90% of our business. We're hungry for more. We're actively building our M&A pipeline as we compete head-to-head against legacy bricks-and-mortar providers to improve the faculty and student experience while boosting the financial sustainability of universities. Our culture is collaborative, high-growth, and agile. You'll join an experienced and motivated executive team with backgrounds from Instructure (Canvas) and other successful edtech companies with exit experience. We operate as a distributed team across the UK and US, with offices in London. We're hiring a Security Engineer to own the security posture of our platform and production workloads. This is a hands-on engineering role sitting at the intersection of architecture, engineering and security. You'll make sure security is designed into systems rather than bolted on afterwards, test whether our security assumptions and controls actually work, and help teams build systems that remain secure and resilient when things go wrong. Your role will include running offensive testing against our own infrastructure. A significant part of the role is securing how we build and ship AI products. As teams move faster with AI-assisted development, you'll define the sandboxing, isolation, permissions and guardrail patterns that let that happen safely, and tune them as the tooling and threat landscape change. You'll work in close partnership with Engineering and our AI practice, embedded in design reviews and delivery work rather than reviewing from the outside. Our IT function leads compliance administration, you'll provide the engineering expertise and technical controls needed to support SOC 2, GDPR and PCI DSS obligations. We value evidence over assumptions - we want to know whether security measures work in practice, not simply whether they exist. • Own the engineering implementation and continuous improvement of security controls supporting SOC 2 Type II, working with IT on evidence collection and external audits, • Act as the security partner in architecture and design reviews, setting secure-by-default patterns for new services, data flows, and integrations, while making pragmatic trade-offs between risk and delivery, • Design, propose, and tune sandboxing and isolation models for AI-assisted and AI-generated code, including execution boundaries, secrets handling, permissions, dependency controls, and output validation, • Own our offensive security testing, combining internal application, cloud and infrastructure testing with third-party penetration testing where useful; test whether important security assumptions actually hold, and verify remediation, • Maintain and extend our GDPR and PCI DSS control posture, working with Legal, Finance, and Engineering on data mapping, retention, cardholder-data scope, and DPIAs, • Work with Platform Engineering to tune security tooling and automation across the SDLC: SAST, DAST, dependency and container scanning, IaC policy checks, and CI/CD gates - focusing on high-signal, actionable checks and removing controls or gates that create friction without materially reducing risk, • Lead threat modelling for high-risk services and AI features, and translate findings into prioritised, actionable engineering work, • Work with Engineering to improve detection and response capability: logging coverage, alerting quality, runbooks, and participation in incident response, • Support customer and prospect security reviews, questionnaires, and due diligence with accurate, evidence-backed responses, • Raise the security baseline across engineering through guidance, tooling, and enablement rather than gatekeeping, • 5+ years in a security engineering, application security, or cloud security role, with meaningful time spent hands-on rather than purely advisory, • Direct experience operating or contributing to SOC 2 Type II controls in a live environment, not just preparing for an initial audit, but sustaining and evidencing controls over time, • Practical penetration testing skills: web application, API, and cloud infrastructure testing, with the ability to run assessments internally and validate third-party findings, • Strong cloud security background (AWS): IAM design, network segmentation, encryption, secrets management, and workload isolation, • Working knowledge of PCI DSS requirements and how to scope, segment, and evidence a cardholder-data environment, • Solid grasp of GDPR as it applies to engineering: lawful basis, data minimisation, retention, subject rights, cross-border transfers, and sub-processor management, • Secure architecture and threat modelling experience across distributed, service-based systems, • Strong hands-on engineering ability: able to read and reason about application code, write scripts and automation, and integrate security checks into CI/CD, • Experience securing containerised workloads and infrastructure-as-code (Kubernetes, OpenTofu, or equivalents), • Ability to influence engineers and product teams without authority, make pragmatic risk trade-offs rather than absolutist ones, and challenge security controls that create cost or friction without proportionate benefit, • Clear written communication: you'll be producing control documentation, findings, and customer-facing security responses, • Experience securing AI/LLM systems: prompt injection, tool-use and agent permissions, model and data exfiltration risks, RAG pipeline security, and evaluation of AI-generated code, • Exposure to ISO 27001, or experience running a multi-framework compliance programme, • Offensive security certifications (OSCP, OSWE, GWAPT) or equivalent demonstrable experience, • Detection engineering and SIEM experience, including writing and tuning detections, • Familiarity with AI security frameworks such as the OWASP Top 10 for LLM Applications, NIST AI RMF, or ISO/IEC 42001, • Experience in a high-growth SaaS environment, particularly one handling sensitive personal data at scale, • Background in EdTech, or experience with sector-specific requirements such as accessibility, student data privacy (FERPA), or institutional procurement security reviews, • Experience using controlled security experiments, incident simulations, chaos engineering, or similar techniques to test how systems behave when assumptions or safeguards fail, • Prior involvement in incident response for a real production incident, including post-incident review Our benefits are all aimed at supporting a healthy work-life balance and cultivating a company culture where you can bring your whole, human self to work. • 35 days holiday per year (excluding public holidays!) - yep, that's not a typo!, • Your birthday off, • 12 scheduled company wellness Fridays off per year, • Enhanced maternity & paternity allowance, • Flexible working hours - we're a remote team spread across the US and UK, • Work-from-home allowance to help you set up your dream WFH station, • Life Insurance up to 4 x salary, • Annual eye test and up to £100 towards frames for glasses required for DSE work We strongly encourage candidates of all different backgrounds, experiences and identities to apply. Each new hire is an opportunity for us to bring in a different perspective and BibliU is committed to building an inclusive and supportive workplace where everyone can do rewarding work. Please note: We do not work with external recruiters/recruitment agencies. This position will be filled directly by BibliU and we kindly request that external recruiters/recruitment agencies refrain from submitting candidates for this role. #J-18808-Ljbffr

Right across infrastructure, there's a requirement to not only maintain, but also renew and reimagine. Whatever stage you're at in your career, with us you'll have an opportunity to grow and develop. Delivering essential infrastructure services for life, while being safety first, and client and customer centric in a friendly, fun and respectful environment where you are encouraged to thrive. Where will you be working? As an organisation, there is little we don't do and plenty to get involved in. Our Group Support roles are vital in making sure we can help over 14,000 people deliver essential infrastructure seamlessly across water, energy, transport and telecom. This role is in our Plant and Fleet department, Plant & Fleet supports teams across our business with their vehicle, plant and specialist equipment needs, offering hire solutions that are commercially effective, reliable, safe and compliant. Want to come and be a part of it? What will you be doing? You'll perform routine maintenance and repairs on the fleet, ensuring everything runs smoothly and reliably. As well as diagnose and resolve a variety of mechanical faults with care and expertise. You'll follow Health & Safety guidelines and uphold good working practices within the workshop, prioritising a safe environment for everyone. We'll provide you with a PDA device to accurately log and complete electronic work records, keeping everything up to date. Also, carry out both minor and major repairs as needed, addressing tasks with precision and focus. You'll identify and document any damaged fleet at the depot, ensuring issues are recorded and addressed promptly. You'll maintain clear and open communication across the plant office, yard, and workshop functions to keep operations seamless. We'd ask you to adhere to the M Group Plant & Fleet Solutions' `Safety, Health, Environmental & Quality` (SHEQ) policies, always working safely and responsibly. What you'll bring Fully qualified vehicle technician to NVQ2/NVQ3 or equivalent through a recognised training scheme or a wealth of experience working on fleet Competent use of company PDA and diagnostic tooling Driving Licence – essential Methodical & forward thinking Willingness to work over time What's in it for you? We offer a range of benefits designed to support your life in and out of work, some of which include; Matched or contributory pension scheme up to 8% Online GP service, 24 hours a day, 365 days a year Employee assistance programme My Rewards portal, access to 1000's of retail discounts Life assurance Cycle to work, salary finance and give as you earn schemes Reward and recognition scheme In addition, this role offers Discretionary annual bonus 33 annual holidays (inclusive bank holidays) Recommend a friend – get rewarded for introducing people to us! £300 per annum tool allowance Tool Insurance Regular familiarisation, product and technical training Overtime - Paid over time at time and a half and double time Power tools & specialist tools provided About us We want to be an employer of choice and a great place to work, attracting diverse and talented people, who join us and make a difference. We are one of the Top 100 UK companies actively supporting and recruiting army veterans. Our ENABLE inclusion networks bring together people who have a shared passion, to help create an environment where everyone belongs. Our values help to shape our culture and how we work with one another. We recruit with these values in mind, to ensure your aspirations, and ways of working, align with ours. We're responsible and go further for our people, clients, communities and the planet We're open and seek new and better ways of exceeding expectations We're together and as one team; the whole is greater than the sum of the parts We're ambitious and embrace opportunity, to lead essential infrastructure services for life Whether you're a trainee, apprentice or graduate, or progressing through your career, our people benefit from industry recognised programmes, training and development. It's an exceptional time to be a part of M Group. Please note: Occasionally, job adverts might be closed before the stated closing date. Do apply as soon as possible to ensure your application is considered. For certain roles, successful candidates will be subject to 3rd party background checks as part of the hiring process. Some roles require drug and alcohol testing as part of induction and onboarding. #MGroupG #LI-EO1 TPBN1_UKTJ

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

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Atlassian is looking for a Senior Manager, Strategic Customer Success Management to lead a team of experienced Customer Success Managers supporting our largest and most complex global customers. This leader is dedicated to helping their team and customers realize transformative value from their Atlassian investment. You will guide the team in unlocking early and sustained outcomes through enterprise agile delivery, developer tool automation, new teamwork communities, enhanced IT services, cloud transformation, and AI adoption. • Manage, mentor, and coach a high-performing team of Principal and Senior Principal Customer Success Managers to set and achieve OKRs, customer retention goals, and growth targets., • Apply deep solution and domain expertise to support varying business and technical needs across global enterprise units., • Guide the team in monitoring customer health, proactively mitigating risk, supporting critical escalations, and improving customer satisfaction and retention., • Build trusted relationships with C-suite and senior decision-makers, demonstrating exceptional executive presence and aligning customer strategies to business priorities., • Guide and collaborate with leaders across matrixed account teams and geographies, aligning Sales, Solutions Engineering, Advisory Services, Support, Product, and other partners., • Analyze customer insights, product data, feedback, and market trends to identify improvement opportunities with Product and Engineering., • Provide mentorship, coaching, and career development to Principal-level CSMs through regular performance feedback, evaluations, and development planning., • Hire, onboard, and develop exceptional talent to support the growth of the Strategic Customer Success organization., • Contribute to annual and quarterly planning, organizational priorities, and execution of Atlassian’s mission., • Provide regular updates and reporting on team performance, customer health, strategic risks, and business outcomes to senior leadership. With over 300,000 customers worldwide, Atlassian is helping organisations like NASA, IBM, HubSpot, Samsung, and Coca-Cola advance humanity through the power of incredible software that unleashes the potential of every team. Our Strategic Customer Success team partners with the world’s most recognized global brands and mission-critical environments. We help customers understand how Atlassian products combine to create enterprise solutions that transform business outcomes. The team supports complex, globally distributed organizations as they scale cloud platforms, modernize ways of working, and adopt artificial intelligence. At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. This role may also be eligible for benefits, bonuses, commissions, and equity. • Manage, mentor, and coach a high-performing team of Principal and Senior Principal Customer Success Managers to set and achieve OKRs, customer retention goals, and growth targets., • Apply deep solution and domain expertise to support varying business and technical needs across global enterprise units., • Guide the team in monitoring customer health, proactively mitigating risk, supporting critical escalations, and improving customer satisfaction and retention., • Build trusted relationships with C‑suite and senior decision‑makers, demonstrating exceptional executive presence and aligning customer strategies to business priorities., • Guide and collaborate with leaders across matrixed account teams and geographies, aligning Sales, Solutions Engineering, Advisory Services, Support, Product, and other partners., • Analyze customer insights, product data, feedback, and market trends to identify improvement opportunities with Product and Engineering., • Provide mentorship, coaching, and career development to Principal‑level CSMs through regular performance feedback, evaluations, and development planning., • Hire, onboard, and develop exceptional talent to support the growth of the Strategic Customer Success organization., • Contribute to annual and quarterly planning, organizational priorities, and execution of Atlassian’s mission., • Provide regular updates and reporting on team performance, customer health, strategic risks, and business outcomes to senior leadership., • Proven experience in Customer Success, Account Management, Professional Services, Consulting, or strategic customer-facing SaaS roles., • Proven field Customer Success leadership experience, including management and development of Principal/Senior, Principal, or equivalent‑level CSMs., • Demonstrated success supporting teams that manage the largest, most complex, and globally distributed enterprise customers., • Exceptional executive presence and a proven ability to establish trusted‑advisor relationships with C‑suite and senior executive stakeholders., • Experience using executive Success Plans to align customer goals with business strategy and measurable value metrics., • Preferred experience with enterprise AI adoption, automation, large language models, AI‑powered workflows, or guiding customers through AI transformation., • Strong understanding of agile methodologies, DevOps, IT service management, Jira, Confluence, and large‑scale cloud transformation., • Ability to orchestrate cross‑functional teams across Product, Sales, Support, and Services to resolve complex escalations and deliver a seamless customer experience., • Experience with Gainsight or a similar customer success platform, Salesforce, and BI tools such as Tableau., • Strong business acumen, analytical ability, communication skills, and a customer‑centric mindset., • Fluent in German and English. Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits. At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh. In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes. #J-18808-Ljbffr

Gradial is hiring an RVP of Sales, EMEA to establish and scale our commercial presence across the region. You’ll own the EMEA sales strategy, build relationships with leading enterprise marketing organisations and create the foundation for durable regional growth. This is a hands-on leadership role for an experienced enterprise seller who can build a market while closing complex strategic deals. You’ll begin as an individual contributor, owning priority opportunities from first conversation through contract execution and setting the standard for how Gradial sells across EMEA. You’ll report directly to the CRO and serve as Gradial’s senior sales leader in the region. As the business grows, you’ll define the regional operating model, hire and develop the EMEA sales team and assume broader responsibility for revenue performance across all EMEA markets. Define and execute Gradial’s sales strategy across all EMEA markets. Own regional new business performance, pipeline development and revenue growth. Build and manage a pipeline of net new enterprise and strategic accounts. Lead complex sales cycles from initial outreach and discovery through negotiation and close. Develop trusted relationships with senior Marketing, Digital, Marketing Operations, Marketing Technology and Procurement leaders. Translate Gradial’s AI-powered capabilities into clear commercial value for complex enterprise organisations. Build account strategies that navigate regional decision-makers, global stakeholders and multi-market buying processes. Partner with US account teams to identify expansion opportunities within the EMEA operations of existing customers. Establish Gradial’s regional presence through executive relationships, industry networks, partnerships and strategic events. Collaborate with Marketing, Product and Customer teams to shape regional messaging, customer strategy and market priorities. Share customer insight, market feedback and competitive intelligence to inform Gradial’s broader go-to-market strategy. Build the forecasting discipline, sales processes, territory structure and operating cadence required to scale across EMEA. Define the regional hiring plan and recruit the sales team as pipeline and market demand grow. Lead, coach and develop the EMEA sales organisation while maintaining a high standard for execution and accountability. 12+ years of experience in enterprise SaaS, marketing technology or a related technology sales environment. A strong record of winning complex, net new enterprise and strategic accounts across EMEA. Experience owning a regional sales strategy, revenue target or multi-market commercial plan. Experience selling to senior Marketing, Digital, Technology and Procurement stakeholders. Deep knowledge of the EMEA enterprise market and strong relationships across relevant customer and industry networks. Experience establishing a new region, territory or go-to-market motion with limited existing infrastructure. Strong understanding of marketing technology platforms, content operations or enterprise marketing workflows. Ability to communicate the value of AI and technical product capabilities in clear commercial terms. Experience navigating long sales cycles, global buying committees and complex enterprise contracting processes. Strong commercial judgement with the ability to prioritise across markets, accounts and opportunities. A hands-on approach to pipeline creation, account development and deal execution. Experience building sales processes, forecasting accurately and creating regional operating discipline. Ability to operate independently while collaborating closely with US-based leadership and cross-functional teams. Motivation to begin as an individual contributor before hiring and leading a regional sales organisation. Based in London with flexibility to travel across EMEA and to the US as business needs require. Experience selling AI-native products or emerging enterprise technology. Previous experience building and leading an early-stage EMEA sales organisation. Fluency in one or more European languages. Competitive salary and meaningful equity. Comprehensive health, dental and vision coverage. Fast-paced environment with flexibility and ownership. Real impact, zero bureaucracy. A front-row seat to building category-defining AI infrastructure. Learn quickly, actively seek out new challenges, and regularly reconsider “how it’s always been done.” Have an innate drive for being 1% better than the day before, building towards greatness. Embrace AI as a core tool for problem-solving, innovation, and scale. Show customer-obsession (internal or external), high ownership/accountability, and bias for action. Communicate clearly, directly, with curiosity, and assuming good intentions. Thrive in fast-paced, hyper-growth environments where building better > maintaining status quo. As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI. Gradial is dedicated to creating an environment where diverse perspectives are valued and all team members can grow. We offer competitive compensation, equity, flexible work hours, comprehensive benefits, and a collaborative culture focused on learning and impact. #J-18808-Ljbffr

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. At Samsara, we're looking for a hands‑on Staff Software Engineer to help turn growing Telematics products into major businesses. Our new product bets include routing and workforce management for physical operations. The portfolio has paying customers and early traction. You'll help shape what comes next, working directly with customers to understand their operations, test ideas and build solutions they choose to use. You'll stay close to the work through production, customer adoption and scale. This is a technical leadership role with substantial hands‑on engineering. You'll define important problems and make product and technical decisions alongside Product, Design and Engineering partners. You'll bring the judgement to move forward when requirements are incomplete, and the influence to align other teams around a clear direction. • Work directly with customers and customer-facing teams to understand unmet needs, test assumptions and identify opportunities worth pursuing. Agree on success measures with Product and Design before investing in a solution., • Lead ambiguous initiatives end to end, from discovery and prototypes through production rollout, adoption and iteration. Use customer feedback and product data to decide what to improve, expand or stop., • Write and ship code on the critical path. Work across services, APIs and customer-facing experiences as the problem requires, combining technical depth with the ability to learn unfamiliar parts of the product., • Set technical direction for your area and align the teams needed to deliver it. Make pragmatic architecture choices that support rapid learning today and reliable growth over time., • Own the production quality of what you build. Design for correctness, reliability and performance, plan safe rollouts, and use operational evidence to address the constraints that emerge as usage grows., • Increase the effectiveness of the engineers around you through design and code reviews, mentoring senior engineers, and removing recurring obstacles to delivery. Share context and decisions so others can move independently., • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices, • Hire, develop and lead an inclusive, engaged, and high performing team, • A track record of shipping customer-facing products and growing them beyond their initial launch. You can explain your contribution to measurable outcomes such as adoption, revenue growth, retention, customer efficiency or cost to serve., • Strong product judgement. You have worked directly with customers, clarified poorly defined problems and made decisions using evidence, including changing direction when an initial idea did not work., • Deep hands‑on software engineering ability, with recent experience designing, implementing and operating production systems. You can move from a prototype to maintainable software and explain the trade‑offs along the way., • Experience scaling products and the systems behind them. You know how to identify the next constraint, balance speed with reliability, and make technical investments that support customer and business growth., • Technical leadership across team boundaries. You have built alignment without formal authority, made other engineers more effective, and communicated difficult choices clearly to technical and business partners. Experience building B2B software through an early growth stage, or working on routing, workforce management or other software for physical operations. We value evidence of learning a complex customer domain and delivering results; previous industry experience is helpful, rather than essential. Customers adopt the capabilities you help build and can see the benefit in their day‑to‑day operations. The products remain dependable as usage grows. Your technical decisions support measurable business progress, and the teams around you can deliver more effectively because of your work. At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high‑impact builders. Our compensation program delivers above‑market total compensation through a combination of base salary, performance‑based bonus/variable pay, and equity (for eligible roles) in a high‑growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above‑market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long‑term success: a flexible, employee‑led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in‑person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on‑site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit ourblog post here. #J-18808-Ljbffr

At Beam, we’re building AI that serves society. We're a global team of ambitious, hardworking problem solvers, applying fast-moving startup energy to work that makes the world a better place. If you want to apply your talent to the biggest problems society faces, Beam is the place for you. You’ll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. Over 100,000 frontline workers already use Beam to take notes, provide live interpretation and handle phone calls, so they can focus on the people who need them most. This is just the beginning. We’re looking for Senior (and above) software engineers with a product-mindset and autonomy to join our product teams to help build the future of Beam. What you’ll be doing Help build our technology for the future - be it infrastructure, backend or front-end. We value generalists. Work with cross functionally with Product and GTM teams to figure out what new features to build within our product. Building internal tools - for our team to help as many people as efficiently as possible. Using the latest generative AI tooling to empower our users to focus on what matters, helping those in need. Get deep into the power of the LLMs that exist and figure out ideal optimisations across our systems with them. Why is this exciting? You will join an elite engineering team, shipping your code to production multiple times a day. You will help shape the future of social care globally. You will push the boundaries of AI usage both in the product and in engineering workflows. Who we’re looking for Breadth of experience across infrastructure, backend and frontend technology stacks: • We hire engineers of all backgrounds to use the latest Ruby on Rails, Typescript, and PostgreSQL running on GCP., • React + Typescript on the client backed by our shadcn design system., • Experience with OpenAI & Claude for LLM interfacing. Startup experience: you’ve worked in fast-growth, customer-focused startup companies delivering measurable results. You’re interested in AI products and how AI can improve your workflows. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You care about the "right tool for the right job" and pick the pragmatic options when building software. Enjoys working in cross functional teams - PMs, UX, Designers and Data. We're committed to advancing equity, diversity, and inclusion through our work as an organisation, and that starts with the team we build. 53% of the people we support are from ethnic minority backgrounds and 17% have disabilities. We believe we serve these people best when we’re a diverse and inclusive team. To that end, we particularly welcome applications from ethnic minority candidates and/or those who’ve experienced social disadvantage. We take hiring seriously. We have a 4-stage and an optional 5th interview process, giving you plenty of time to learn about Beam while we get to know you. 30 minute intro with our Talent team 30 minute Interview with Ben, our VP Engineering 1 hour technical test with two of our Senior Engineers 1 hour systems design interview with two of our Senior Engineers 30 minute product and cultural interview with one of our founders We’ve picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including the likes of The FT, BBC, TechCrunch, Forbes and The Guardian. We’re also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Booking.com, Calm, Shazam and Dropbox. Reasonable adjustments: Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy. #J-18808-Ljbffr

Location: Notting Hill, London. Four days in the office and one from home Reporting to: Head of AI Transformation Scope: UK and US, across every team TRIP's mission is to create calm in the everyday chaos for our community, offering next-generation wellness products to power their lifestyle and nurture mental wellbeing. Co-founders, husband-and-wife team Olivia and Daniel, discovered plant-based wellness after a transformative personal experience and launched TRIP in 2019 to bring delicious, high-quality functional drinks and supplements to millions of people globally. Now the world's #1 Calming Beverage Brand, TRIP's award-winning drinks and wellness products are crafted with botanicals and adaptogens to help people relax, unwind and find balance. Since launch, TRIP has rapidly expanded from the UK across Europe and North America, generating over $100 million in sales. Our products are available in leading supermarkets, natural retailers and online. Our vision is to become the global leader in calming drinks and supplements — synonymous with calm in the same way Red Bull is with energy. We move fast, think big and are committed to becoming the defining brand for a generation who drinks less but prioritises mental wellbeing more than ever. There has never been a better time to join our team and be part of the movement. As our Data Lead, you'll be the owner of data across TRIP: what we collect, how it's modelled, who can use it and whether people trust it. You'll work AI-first: using AI to build, test and document faster, and shaping our data so AI tools can use it reliably. Today our numbers live in many places: Shopify, Amazon, TikTok Shop, our ad platforms, CRM, retailer sales data, market panels, finance and supply chain systems. Much of our retail data still arrives as manual monthly exports, and teams spend too long reconciling it all. You'll change that. You'll lead the move to a single, well-governed warehouse on Snowflake, set the standards everyone builds on and give every team one version of the truth for revenue, margin and customers. This is a build-and-lead role. You'll be hands-on with the architecture, models and pipelines in your first months, while building and managing a small team, including offshore data engineers. You'll work closely with Digital, Finance, Commercial, Supply Chain and our implementation partners. You'll report to our Head of AI Transformation, and have oversight over our Operations Analyst and Operations Systems Specialists. • Be the primary owner of data across the organisation, accountable for its quality, definitions and availability in the UK and US., • Set and maintain one set of definitions for our core metrics, including revenue, contribution margin, customer acquisition cost and retention, so every team reports the same numbers., • Own data governance and access: who can see and change what, how sensitive and customer data is protected, and how AI tools connect to our data safely., • Hold a high bar for data cleanliness and rigour: test data at every layer, reconcile it to source systems and to Finance, and catch issues before they reach a report., • Be the first person teams come to with a data question, and turn recurring questions into self-serve answers., • Lead the build of our Snowflake warehouse with our implementation partner, from raw data through cleaned and modelled layers to the tables our teams and planning tools use., • Own our transformation layer in dbt: model design, testing, documentation and deployment., • Use AI coding assistants and agents as a standard part of how the team writes, tests and documents pipelines and models, and automate repetitive data work rather than doing it by hand., • Take ownership of our data pipelines, including the existing BigQuery data lake and the feeds from our sales, marketing, CRM, finance and operations systems, and plan how they move to or connect with Snowflake., • Monitor pipeline health, cost and freshness, and fix the root cause when data is late, missing or wrong., • Own our retail data in the UK and US: retailer EPOS data from portals such as Tesco, Sainsbury's, Waitrose and Morrisons, syndicated market data from Circana, NielsenIQ, SPINS and Numerator, and account data from retailers such as Walmart and Target., • Replace manual exports with automated, tested loads wherever retailers and data providers allow it, and keep a clear record of each source's coverage and refresh dates., • Join retail sell-out, distribution and market share with our DTC and marketplace data, so the business can see TRIP's total performance by product, channel and market., • Give our Commercial and Category teams reliable reporting on rate of sale, distribution, promotions and share., • Help measure how our marketing drives retail sales, for example through store-level tests with the Digital team., • Hire, manage and develop a small data team, including offshore data engineers, and set how they work, review code and prioritise., • Build a roadmap and run the team in short sprints, prioritising work by its impact on the business., • Manage relationships with data partners and vendors, holding them to clear deliverables., • Champion data-driven decisions across the business: help teams set measurable goals, test ideas properly and bring the numbers into weekly and monthly reviews., • Make sure reporting for leadership, Finance and channel teams runs from the warehouse rather than spreadsheets., • Work with our Head of AI Transformation so data is warehoused for analysis by people and AI alike: clean, documented models that AI assistants and automations can query reliably., • Explain data clearly to non-technical colleagues and train teams to answer their own questions. You've built a modern data stack before, you know what good looks like and you can get there in a growing business without a big team. You're as comfortable writing a dbt model as you are explaining a number to the leadership team. • Experience leading data in a growing business, typically gained over five years or more in data engineering or analytics engineering, including leading a small team., • Hands-on, production experience with Snowflake., • Strong dbt experience: modelling, testing, documentation and deployment., • Experience designing, building and maintaining data pipelines from SaaS and ad platforms, using tools such as Fivetran, Airbyte or custom connectors., • Strong SQL, plus Python for pipelines and automation., • Experience with retail data: EPOS or retailer portal data, and syndicated market data such as Circana, NielsenIQ or SPINS., • A track record of building and managing a data team, including hiring and developing people. Experience managing offshore or remote engineers is a plus., • Experience setting data governance, metric definitions and access controls., • A rigorous, detail-minded approach: you check numbers before you share them, and you'll say so when the data doesn't support a conclusion., • An AI-first way of working: you already use tools such as Claude, Cursor or Copilot every day to build and check your work, and you know where they help and where they need checking., • Clear communication and the confidence to align teams that currently use different numbers., • Experience in e-commerce, DTC, food, drink or FMCG, including Shopify or Amazon data., • Experience with BigQuery or Google Cloud, or with migrating between warehouses., • Experience feeding planning, forecasting or finance tools from a warehouse., • Experience connecting AI tools or LLMs to company data., • Experience with a BI or visualisation platform such as Power BI or Looker. You don't need experience with every tool listed. We're interested in what you've built, how you lead and how you'd approach our data. • Annual bonus and equity., • 24 days' holiday, plus your birthday off., • TRIP product discount and Friends & Family codes., • Mental wellbeing: Free one-to-one therapy with Self Space and Calm app membership., • Exercise and health: Private healthcare with Vitality, including 50% off Virgin Active gym membership., • Diet: Breakfast and snacks provided., • Sleep: Monthly Dream Drops CBD Oil allowance., • Up to two weeks working abroad each year, taken in a maximum of two blocks., • A bright, dog-friendly office one minute from Notting Hill Gate Station, with four days in the office and one from home., • Regular team socials and events. #J-18808-Ljbffr

Retire the ERP Light exists to replace factory-era ERPs with software that feels alive. Our Smart Financial Platform gives modern, global companies superpowers - automated accounting, real-time reporting, and financial flows that move at the speed of the business. We build with our customers, ship fast, and obsess over craft. In a short time, Light has gone from idea to the operating core for leading companies like Lovable, Legora, and Fuse Energy. We're an early team defining a new software category. Think engineers who love debits and credits, designers who care about reconciliation states, and operators who treat finance as a product. If you're excited to modernise how companies run money, you're in the right place. Backed by world-class investors including Balderton and Atomico and advised by industry titans, we're building category-defining products with the freedom to ship ambitiously and own outcomes. Come help us make Light the global default for next-gen finance. Finance teams at fast-growing companies run global, real-time businesses on a patchwork of legacy ERPs and point solutions. Every new entity, market or tool adds another system to stitch together and another hire to keep the numbers reconciled. Light gives them a way out. We build the finance solution that lets finance teams have it all, through three parts that work as one: • Our ledger records every transaction across every entity in real time, so the numbers hold up from day one., • Our apps adapt Light to how each business runs, from procurement to billing to reporting., • Our agents operate the repetitive work that used to need another hire, so finance teams spend their time on the decisions that matter. We take on the ERP and the legacy point solution world with something fast to implement, AI-native from the ground up, and better the more you use it. Today we run the finance function for companies like Lovable, Legora and Keyshot, with backing from Atomico, Balderton, Seedcamp, Cherry and Entrée, and teams across Copenhagen, London and Stockholm, with remotes world over. We're looking for a Nordics Marketing Manager to make Light the default finance platform for scaling companies across Denmark, Sweden, Norway and Finland. You can base yourself in Copenhagen or London. Light started life in Copenhagen, and the Nordics already know us. Founders, CFOs and finance leaders in the region backed us from the start, and our local community gives us a head start most challengers would envy. Your job is to take that energy to new heights, so that when a Nordic finance team outgrows its current setup, Light is the obvious next move. You'll own the Nordics marketing plan end to end. You'll have a B-line into our Nordics GTM pod, which spans sales, implementation and customer success, and you'll work closely with our central growth team to find new ways to drive demand through digital channels. • Building and running the Nordics marketing plan, with pipeline targets you share with the GTM pod., • Running a field and events programme across Copenhagen, Stockholm, Oslo and Helsinki and… any other city you think makes sense. From intimate CFO dinners to flagship moments people talk about for months., • Growing partnerships with the accounting firms, advisors, investors and communities that Nordic finance leaders trust and extends our voice across the region., • Localising our story, content and campaigns so they land with Nordic finance teams in their own language and context., • Creating content with our customers, product and design teams that turns what Light does into stories people want to share., • Working with our central growth team to test and scale digital demand generation in the region., • Building relationships with local press and the people who shape the Nordic tech and finance conversation., • Enough years in the seat to know what works at a fast-growing company, ideally because you've built the ground game for a scaling B2B SaaS business before., • A track record across field, events, partnerships and content, and the judgment to know which lever to pull and when., • Experience localising a brand and its message for a region, with a feel for what lands with Nordic audiences., • Comfort working with sales, implementation and customer success as one team, with pipeline as the shared goal., • Deep curiosity about how AI is reshaping finance teams and the companies they serve., • A great storyteller across video, text and meme., • A can-do, empathetic and collaborative spirit. No brilliant assholes here, please., • Fluency in English and at least one other Nordic language., • A passport. Expect regular trips across the Nordics and to our teams in London, Munich, New York and elsewhere., • A five-day, in-office culture with a high-density team in Copenhagen or London., • A competitive salary and potential stock options., • 25 days of annual leave plus public holidays in the country where you're based., • Regular socials and two company off-sites a year., • The chance to shape a category from the inside, in the region where Light began. Light is an equal opportunity employer. The Nordics gave Light its first customers, its first champions and its first team. We want to repay that by becoming the finance platform every scaling Nordic company runs on, and we want you to lead the charge. If you know the region, love building from the ground up and want to help retire the ERP for good, let's talk. #J-18808-Ljbffr

Job ID: 10586971 | AWS EMEA SARL (UK Branch) Are you passionate about Generative AI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock and AgentCore and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. The ASPI Energy & Utilities Specialist Team is seeking an experienced and deeply technical Data and AI Solutions Architect to accelerate AI adoption across Global energy and power customers. This is a builder-first role. You will prototype, architect, and deliver production-grade AI solutions spanning agentic platforms, developer tools (Claude Code, Codex, Kiro), governance, and cybersecurity. You will bridge the gap between frontier AI capabilities (large language models, multimodal foundation models, retrieval-augmented generation, speech-to-speech models) and real-world energy environments, from operational productivity to developer platforms and real-time trading and utility operations centers. As a trusted technical advisor, you will guide energy engineering and product teams through designing AI-native products and services: agentic systems for product development and real time operations, AI assistants that automate technician dispatch, and GenAI copilots for operations. You will work backwards from customer outcomes to define reference architectures that combine AWS AI services (Amazon Bedrock, AgentCore, Continuum, and others) with partner and open-source components in regulated industry deployments. This role requires someone who builds. You will write code, construct proof-of-concept implementations, contribute to open-source projects, and develop reusable blueprints that accelerate GenAI adoption across the energy vertical. You will influence AWS product roadmaps by translating customer requirements into feature requests and working directly with service teams. You will publish your work through whitepapers, blog posts, reference architectures, and conference presentations. The ideal candidate combines deep analytics and AI expertise with a passion for shipping AI products in complex, regulated environments. You are equally comfortable whiteboarding transformer architectures with ML engineers, designing multi-turn agentic workflows, and understanding the operational realities of energy customers. • Design and deliver generative AI solutions for energy customers across multiple industry domains., • Architect end-to-end AI pipelines integrating foundation models, speech, vision, and tool-use agents with energy platforms and infrastructure., • Build production-quality proof-of-concepts demonstrating agentic capabilities, AI developer and productivity tooling., • Lead technical engagements with energy engineering teams on analytics and AI architectures., • Provide strategic guidance on deploying AI agents into energy environments, addressing latency, reliability, compliance, and scale requirements., • Develop reference architectures and reusable blueprints that accelerate GenAI adoption, combining Bedrock, AgentCore, Kiro/Claude Code/Codex, and partner ecosystem components., • Influence AWS AI service roadmaps by capturing customer requirements and collaborating with service teams., • Author whitepapers, blog posts, and reference implementations establishing AWS's point of view on GenAI for telecommunications., • Drive customer growth through GenAI-focused sales strategies in partnership with AWS Sales teams., • Build trusted advisor relationships with senior technical leaders (VP Eng, CTO, Chief AI Officer) at energy customers., • Partner with SAs, Sales, Business Development, and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements., • Develop and support an AWS internal community of Data and AI related subject matter experts worldwide., • Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services AI solutions into customer architectures. AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military, • Experience in IT development or implementation/consulting in the software or Internet industries, • Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)., • Experience in design, implementation, or consulting in applications and infrastructures, • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients, • Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs, • Experience in infrastructure architecture, database architecture and networking, • Experience working with end user or developer communities Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We’relooking for a Senior EngineeringLeadto build and lead our AI engineering team in FinTech and Fashion Tech at ASOS, the technology teams behind Finance and our Commercial, Buying and Merchandising functions. This is ahands onengineering leadership role.You’llline manage and grow a team of AI Engineers who build, deploy and support automation and agentic AI solutions, andyou’llstill write code yourself when it counts. The teams we support run some of the highest volume, most process heavy operations in the business, from accounts payable,reconciliationand expenses in Finance, through to range planning, trading,stockand supplier data on the commercial side. There is real scope to take repetitive manual work off people, speed up decisions and give them their time back. This is a delivery role rather than a strategy one. ASOS has a central AI team who own our AI policy, framework, approved tooling and guardrails, and youwon’tbe setting that direction for the wider business.You’llbuild for the teams we support within it, working closely with the central team and our AI centre of excellence to stay aligned. Within that remit you own delivery end to end, from understanding the problem through to supporting what goes live, including the agents already running today. Key Responsibilities Leading and Growing the Engineering Team • Linemanagea team of AI Engineers, coveringobjectives, one to ones, development, careerprogressionand performance., • Grow the team. Hire well, onboard new engineers properly, and build the skills we need as the work changes., • Coach and mentor through design reviews, pairing and code review, and give honest feedback that helps people improve., • Look after the health of the team, balancingworkloadand capacity so people are on the right work and not carrying too much. Technical Direction and Engineering Standards • Own the technical direction for the team, including the architecture, reusablepatternsand reference solutions we build from., • Set and hold the engineering standards, covering code quality, testing, evaluation, peer review, CI/CD and secure by default habits., • Make the build or buy calls for your team, and keep an eye on running cost,performanceand technical debt. Building and Running AI Solutions • Stay hands on. Lead from the front by writing code, prototyping, unblocking your team and picking up the hardest builds yourself., • Design, build and ship production ready agentic AI and automation solutions: agents that can plan, reason, use tools, retrieve information, act across our systems and hand back to a person when they should., • Build the integrations that make agents genuinely useful, connecting them to platforms such as Microsoft Dynamics 365 Finance and Operations,ReconArt, Concur, ServiceNow and our data platform, and use retrieval augmented generation and grounding so solutions are accurate against real business data. Owning Delivery • Own delivery for the team. Plan and prioritise the backlog, manage capacity and dependencies, and move work quickly from proof of concept into production., • Run the team’s work through Azure DevOps and follow the wider ASOS delivery process, including governance, changecontroland release cadence., • Own the agents and automations already live, put proper operational foundations in place including monitoring, alerting, runbooks and clear ownership, and lead incident response when things go wrong. Working with Stakeholders and the Central AI Team • Get out into Finance, Commercial, Buying and Merchandising to understand how people really work and what is genuinely worth automating, and explain the options back in plain language., • Build inside the policies, approvedtoolingand guardrails the central AI team sets, and be our main point of contact with them and the AI centre of excellence so we stay aligned., • Track and evidence the benefit delivered, whether that is time saved, manual effort removed or cycle times cut, and report progress and risks honestly to senior stakeholders. Why This Role Matters Automation and agentic AI are the biggest opportunity we have to change how these teams work. Done well, they take repetitive work off people’s plates, shorten month end close and trading decisions, and free our teams up for the things only people can do. The central team provides the framework and the guardrails. What we need now is someone to build and lead the team that delivers against it: ahands onengineering leader who can grow engineers, set the technical bar, keep stakeholders confident, and still open the laptop and build. Engineering Leadership • Experience line managing a team of engineers, covering one to ones, development, performance and hiring, while staying technically hands on., • A track recordof setting technical direction and engineeringstandards, andlifting the quality of what a team produces., • Experience owning delivery for a team, including planning, prioritisation,capacityand reporting progress to senior stakeholders., • Comfortable delivering inside a framework someone else owns, working alongside a central or platform team, and able to push back constructively when it matters. AI and Automation • Real, demonstrable experience designing and building agentic AI solutions that have gone live and are genuinely used, rather than pilots., • Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel,LangChain,LangGraph,AutoGenorCrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation., • Experience with workflow and process automation tooling such as Power Platform, Logic Apps or RPA, and with evaluating how agents perform across accuracy, guardrails,reliabilityand cost. Engineering and Communication • A strong software or data engineering background, with solid coding skills such as Python or C#/.NET, and experience building and integrating APIs and services., • Experience deploying and running solutions in the cloud, ideally Azure, with proper CI/CD, testing, monitoring and observability, and a security and data conscious mindset when working with sensitive financial data., • Genuinely comfortable withnon technicalstakeholders, able to run discovery, explain technical ideas simply and influence at senior level, with a focus on outcomes rather than technology for its own sake. We’dAlso Love to See • Experience with finance systems or processes such as accounts payable, reconciliation or financial control, or with Microsoft Dynamics 365 Finance and Operations., • Experience in retail,ecommerceor fashion, particularly across commercial, buying, merchandising or supply chain., • Data skills including SQL, datamodellingand platforms such as Databricks or Microsoft Fabric., • Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. WhyYou’llLove This Role • You will build and lead the AI engineering capability for two of the mostimportant areasof ASOS, and shape how the team works from the ground up., • It is a rare mix. You get to line manage and grow a team, own the technical direction, and still build., • Real problems, realscaleand real users, with a clear impact on people’s working lives., • A central AI team owns the framework,toolingand guardrails, so you can concentrate on building and leading rather than writing policy., • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr