Product design engineer jobs in United Kingdom

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do • Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction, • Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy, • Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects, • Represent Capital One in external technical forums, contributing to vendor/industry discussions, • Drive service quality standards and practices for your domain, guiding complex incident resolution, • Develop and advocate for strategies to proactively manage technical debt across multiple teams, • Actively mentor and develop engineers, fostering a culture of continuous learning What we’re looking for • Deep expertise in Java, • Deep expertise in system design and distributed architectures, • Track record of leading technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Proven experience setting a multi-team technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving engineering standards and best practices across organisations, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What’s in it for you • Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront – to provide LGBTQ+ support for all associates, • Mind Your Mind – signposting support and promoting positive mental wellbeing for all, • Women in Tech – promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Lead Software Development Engineer - Services About this role Capital One’s mission is to change banking for good by bringing humanity, ingenuity and simplicity to banking. Sitting at the core of such values is our Software Engineering department whose primary role is to be an enabler of our ambitions. Capital One is looking for a Senior Software Development Engineer to join a backend team, based in our London office on a hybrid basis. Our Engineers are people who lead by example, build strong and valuable relationships and have the confidence to influence at all levels. We are proud of who we are and what we do and want you to join us at this particularly exciting time at Capital One. What you’ll do You will lead a team or cross-functional squad in the delivery of complex and ambiguous projects that support a broader business outcome You will take end-to-end responsibility for technical design, implementation, and operational considerations Collaborate with engineers, architects, product owners, and stakeholders to ensure successful project outcomes You will play a crucial role in supporting the elevation of engineering enablement, excellence, and experience across the broader engineering community You will collaborate and contribute to the development and dissemination of standardised and sustainable best practices, tools, patterns, and frameworks that enhance the productivity and quality of engineering efforts business-wide Your focus is on a major portion of existing or new team software (e.g., significant component, set of features, mid-size application or service) You’ll work to achieve the goals and vision shared by Product Management and your Tribe Leadership Innovate within your team, initiative area and contribute within your technical domain What we’re looking for Proven experience in technical leadership, including leading a team or cross-functional squad Proven experience working in both backend services and mobile technologies Exceptional programming skills and knowledge of building APIs using modern OO languages preferably Java, SOLID principles, SOA, HTTP and REST Experience with AWS and strong understanding of cloud-based development Extensive, demonstrable knowledge of designing architectures that are secure and perform at scale You’re able to effectively communicate and work collaboratively across engineering to maximise inner-sourcing opportunities and reduce waste Proven experience ability to deliver high quality applications at scale An advocate for quality and the ability to support the team, leveraging approaches such as Pair Programming, TDD and BDD Where and how you'll work This is a permanent position and will be based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What’s in it for you Bring us all this - and you’ll be handsomely rewarded with a role contributing to the product roadmap for an organisation committed to transformation We’re continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve We love continuous learning and that’s why we give you 10% of your time to work on cutting edge innovative projects that shape the way we will work in the future We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women and ethnic minority candidates. We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems, • Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for • Deep expertise in Python and ML engineering, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures, • Track record of leading ML/AI technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG), • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems, • Experience designing and scaling low-latency, customer-facing ML/AI architectures, • Proven experience setting a multi-team ML/AI technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving ML engineering standards and best practices across organisations, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems, • Experience leveraging enterprise platforms to deliver business use cases at scale, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

A pioneering London-based robotics company is seeking a Senior Robotics Engineer to help design, build, and scale the next generation of robotic arm devices for both domestic and commercial environments. This is a rare opportunity to join a fast-moving, product-driven team building real robots that operate in real homes, workplaces, and service environments. If you want to work on robotics that actually ships, not just lab demos, this is the role. The Role You will take a senior, hands-on position in the development of advanced robotic arm systems — from motion planning and control to perception-driven manipulation. You’ll work closely with mechanical, software, and AI teams to deliver robust, safe, and intelligent robotic behaviours. This is a role for someone who thrives in high-autonomy environments and wants to see their work deployed in real-world products. Key Responsibilities • Lead development of robotic arm control systems, including kinematics, dynamics, and trajectory planning, • Build and optimise manipulation algorithms for grasping, handling, and interaction tasks, • Integrate perception systems (vision, depth, tactile) with manipulation pipelines, • Work on motion planning, collision avoidance, and safe operation in human-centric environments, • Collaborate with mechanical and embedded teams to refine hardware–software integration, • Contribute to architecture, design reviews, and long-term technical strategy, • Mentor junior engineers and help shape engineering best practicesWhat You’ll Bring, • Strong experience in robotic arm systems, manipulation, or industrial robotics, • Deep knowledge of kinematics, dynamics, control theory, and motion planning, • Proficiency with C++ and/or Python in robotics contexts, • Experience with ROS/ROS2, real-time systems, or embedded control, • Hands-on experience integrating hardware, sensors, and actuators, • Ability to work in a fast-paced, product-focused environment, • A passion for building robots that operate safely and reliably around peopleNice to Have, • Experience with domestic robotics, service robots, or human–robot interaction, • Background in machine learning for manipulation or perception, • Familiarity with simulation tools (Gazebo, Isaac Sim, Mujoco), • Knowledge of safety standards for commercial robotic systemsWhy Join, • Work on real robots used in homes, workplaces, and commercial environments, • Join a company at the forefront of next-generation domestic and service robotics, • High autonomy, high impact, and the chance to shape core product capabilities, • Collaborative, engineering-led culture with rapid decision-making, • Competitive salary, benefits, and long-term growth opportunities

Robert Half Technology are assisting a leading sports media organisation to recruit an AI Engineer on a 6-month contract basis. ASAP start. Outside IR35. Hybrid working - London based. Role The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions across digital sports media platforms. Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. Develop and maintain robust data pipelines and model deployment infrastructure. Implement monitoring, evaluation, and governance processes for AI systems to ensure reliability and performance. Work with structured and unstructured datasets including video, social, audience, and editorial content. Optimise AI models and inference pipelines for scalability, latency, and cost efficiency. Troubleshoot and resolve issues across AI systems, APIs, and production environments. * Keep abreast of emerging AI technologies, industry trends, and best practices within sports media and entertainment. Profile The AI Engineer will have strong experience developing and deploying machine learning and generative AI solutions in production environments. Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. Strong knowledge of cloud platforms including AWS or Azure. Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. Must have previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment. Comfortable operating in fast-paced, evolving businesses with changing priorities and hands-on delivery expectations. Strong understanding of APIs, microservices, and scalable backend systems. Excellent problem-solving and analytical skills with strong attention to detail. Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams. * Previous experience within media, sports, broadcasting, or digital content environments would be advantageous. Company Leading sports media organisation with offices in London Hybrid working environment * Fast-paced, collaborative, and technology-driven culture Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Do you have experience building and shipping exceptional UX at an early-stage startup or customer-facing product? Are you excited by real ownership, product influence, and shaping the frontend experience of a genuinely category-defining AI product? Founding Engineer (Frontend) - AI-native Workspace Salary: Up to £170k + equity Location: London, onsite Experience: 5-10 years (startup or customer-facing product background are a bonus) I'm excited to be continuing our partnership with a pre-seed AI startup building agentic AI systems that radically improve how knowledge workers think, decide, and get work done. This is not another chatbot. This is an AI-native product being built from first principles by engineers from elite technical environments (e.g. Palantir, Citadel). As the company evolves into a more product-led, consumer-style experience, they're now looking to hire their first dedicated Frontend Engineer, someone who can own and shape the entire user experience from the ground up. This is a true founding-level opportunity as the 3rd engineering hire. You'll work directly on: • Building high-performance, real-time AI-native interfaces, • Crafting intuitive UX for complex autonomous workflows, • Developing beautiful, responsive frontend systems in TypeScript & React, • Creating product experiences users genuinely love using, • Influencing product direction, interaction design, and frontend architecture They're particularly interested in engineers who have: • Worked on developer tools, web-based IDEs, or highly interactive products (e.g. Gitpod, GitHub, Cursor-style environments), • Built customer-facing or prosumer applications, • Strong product intuition and a sharp eye for UX/UI, • Experience operating in fast-moving startup environments, • A desire to own frontend strategy, not just implement tickets Tech stack: • TypeScript, • React, • AI-native workflows & tooling throughout engineering Bonus points for: • Some backend experience for optionality, • Experience with PLG or consumer-style products, • Design sensibility and ability to bridge engineering + product experience What they're looking for: • Strong commercial & product mindset - you care deeply about user experience and outcomes, • Comfortable in ambiguity and zero-to-one environments, • Proven ability to ship quickly and iterate with users, • High ownership mentality and startup pace, • AI-native way of working (LLMs are tools, not toys) Why join now? • Real founding-level ownership and influence, • Small, elite team that ships fast, • Well-funded with long runway, • Opportunity to define the frontend experience of a next-generation AI product, • Not another boring B2B SaaS platform… this is something people will genuinely want to use If you're excited by the idea of building beautiful, intelligent product experiences at the frontier of AI, this is the one. Interested? Apply now

Backend Engineer (Python / FastAPI) Fast-Growing Sports AI Company KEY POINTS • Hybrid role based in London, • Build real time, data rich applications for the sports industry, • Small, fast-moving team with high ownership and real impact, • Work at the forefront of AI and LLMs applied to sport, • Stack flexible, as long as you are happy in Python, FastAPI and modern web tooling, • Salary up to £100,000 depending on experience, • Ideally a genuine sports fan ABOUT THE CLIENT We are supporting a fast-growing company building cutting edge AI solutions for the sports industry. The business is small, ambitious, and moving quickly, building real time, data rich products that analyse and predict the sports millions of people care about. This is an environment where engineers have genuine ownership and a direct impact on product direction and technical architecture from day one. If you enjoy solving new problems every week and want to be a builder rather than a cog in a machine, this is for you. THE ROLE, BACKEND ENGINEER As a Backend Engineer, you will design and maintain the sophisticated APIs and data systems that power the company's AI-driven sports products. You will work with real time data at scale, translating complex sports logic into clean, efficient, high-performance code. This is a hands-on role in a small team, with the autonomy to own what you build, from design through to deployment. KEY RESPONSIBILITIES • Design, build and maintain robust, scalable APIs using Python and FastAPI, • Work with real time data streaming, including SSE and WebSockets, • Translate complex sports data and logic into clean, efficient backend code, • Ensure systems are performant, reliable and well architected, • Own your work end to end, including deployment and ongoing iteration, • Collaborate closely with a small, high-calibre team to ship quickly ESSENTIAL EXPERIENCE • Strong backend engineering experience, ideally with Python and FastAPI (stack is flexible if you are happy working in this environment), • Solid experience with PostgreSQL, Docker and AWS, • A deep understanding of asynchronous programming and real time data, • Strong system design skills, able to solve complex problems from first principles, • Comfortable with the autonomy and pace of a small team, • A genuine sports fan who understands the game and the data behind it is ideal, • Right to work in the UK, no sponsorship is available for this role WHAT'S ON OFFER • Salary up to £100,000 depending on experience, • The chance to build real time AI products in the sports industry you love, • High ownership and real influence over product and architecture, • Work at the cutting edge of how AI and LLMs are changing sport, • A fast-paced, evolving environment where no two weeks are the same TO APPLY Please apply via this advert or email directly. For further information, call or . By applying, you consent to us processing and submitting your application (subject to suitability) for this vacancy only.

Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale. The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: • Provide technical leadership across platform, DevOps, and MLOps activities, • Design, build, and operate a Kubernetes-based MLOps platform supporting the full model lifecycle, • ImplementandrunMLOps tooling that enables teams to:, • Experiment with models and notebooks, • Package, version, and deploy models, • Run scalable inference and LLM-based workloads, • Build and operate model serving and inference platforms within Kubernetes environments, • Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows, • Own platform operability, reliability, security, and supportability in production, • Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers, • Contribute to architectural decisions while staying hands-on with delivery, • Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructureWhat we're looking for This role suits someone who is fundamentally a strong platform engineer, with the depth to apply those skills confidently to MLOps. Essential experience: • Strong background as a Senior or Lead Platform Engineer / DevOps Engineer, • Deep, hands-on experience building and operating Kubernetes-based platforms, • Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform), • Proven experience extending Kubernetes with higher-level platforms and services, not treating it as the finished product, • Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance, • Comfortable working directly with engineers and data scientists to support real production workloadsMLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: • Building or operating MLOps platforms using tools like Kubeflow or similar frameworks, • Running model serving and inference platforms (e.g. KServe, vLLM, or equivalent), • Supporting LLM-based workloads, including optimisation and serving considerations, • Providing notebook-based environments such as JupyterHub in secure platforms, • Exposure to emerging tooling such as InstructLab, Trustworthy / Responsible AI tooling, or comparable solutionsDesirable experience, • Building internal platforms specifically for data science and ML teams, • Operating AI-enabled or data-driven systems in production, • Experience in regulated, security-conscious, or high-assurance environments, • Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product, enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Principal Full Stack Engineer & Architecture Lead London (Hybrid) £80,000 - £90,000 + Benefits Command Recruitment is proud to be partnering with an ambitious and rapidly growing healthcare company that is transforming access to specialist healthcare services across the UK. This is a fantastic opportunity for an experienced Principal Engineer or Technical Architecture Lead to play a key role in shaping a modern, cloud-native healthcare platform that is making a genuine impact on people's lives. Our client is building one of the UK's most innovative healthcare service platforms and is seeking a hands-on technical leader who can combine strategic architecture with strong full-stack engineering expertise. The Opportunity As Principal Full Stack Engineer & Architecture Lead, you will take ownership of platform architecture, engineering standards, cloud infrastructure, and technical delivery across the business. You'll work closely with senior leadership, including the CTO, Director of Engineering, Product teams, and Data teams, to drive scalability, resilience, performance, and engineering excellence while remaining hands-on with development. This role would suit someone who enjoys solving complex technical challenges, mentoring engineers, and building modern distributed systems within a fast-moving product-led environment. Key Responsibilities Architecture & Technical Leadership • Lead platform architecture and technical design decisions, • Define scalable, secure, and maintainable engineering standards, • Provide technical leadership across frontend, backend, APIs, infrastructure, and integrations, • Drive platform scalability, resilience, observability, and performance, • Partner with leadership teams to align technical strategy with business goals, • Act as the senior technical authority for complex engineering decisions Hands-On Engineering • Contribute directly to backend and frontend production code, • Build scalable applications using Node.js, TypeScript, React, and Next.js, • Design and develop AWS serverless and event-driven systems, • Develop and optimise PostgreSQL databases and queries, • Support engineering teams with the delivery of complex technical initiatives Cloud, DevOps & Infrastructure • Design and maintain CI/CD pipelines and deployment automation, • Build Infrastructure as Code using Terraform or AWS CDK, • Improve engineering workflows, release processes, and platform reliability, • Implement best practices across monitoring, logging, security, testing, and resilience, • Ensure systems remain secure, scalable, and compliant with GDPR and healthcare regulations Engineering Leadership • Mentor and support engineers across the organisation, • Conduct code reviews and promote engineering best practices, • Help establish coding standards, testing frameworks, and operational excellence, • Foster a collaborative, high-performing engineering culture Technology Stack Cloud & Infrastructure AWS (Lambda, API Gateway, EventBridge, SQS, Step Functions, S3, CloudWatch, RDS) Backend Node.js, TypeScript Frontend React, Next.js, Tailwind CSS Data & Architecture PostgreSQL, Serverless, Event-Driven Microservices DevOps & Observability Terraform / AWS CDK, CI/CD, Monitoring & Logging About You We are looking for a technically strong and commercially minded engineering leader with: • 10+ years of software engineering experience, • Proven experience operating at Principal Engineer, Staff Engineer, or Architecture Lead level, • Strong AWS cloud and serverless architecture expertise, • Excellent full-stack development experience across Node.js, TypeScript, React/Next.js, and PostgreSQL, • Experience leading technical direction across engineering teams, • Strong understanding of distributed systems and event-driven architecture, • Experience designing scalable, secure, production-grade systems, • A hands-on mindset with a passion for building high-quality technology Desirable Experience • Life Science or regulated industry experience, • GDPR and data security knowledge, • AI/ML integrations or personalisation systems, • SaaS or startup experience What's On Offer • £80,000 - £90,000 salary, • Hybrid working (office 2-3 days per week), • 30 days holiday including bank holidays, • Pension contribution, • Birthday day off, • Modern equipment provided, • Team events and collaborative culture, • Opportunity to shape a fast-scaling healthcare platform with genuine social impact

Senior GenAI Developer Location: London, hybrid 2 to 3 days per weekContract: 6 monthsDay Rate: £500 to £700 per dayIR35: Inside IR35 A leading enterprise organisation is looking for a Senior GenAI Developer to join a customer-focused AI and data science team, helping to design, build and operate production-grade GenAI applications at scale. This is not a proof-of-concept role. You will be responsible for delivering secure, resilient and scalable AI-enabled applications that consume standardised GenAI services, including LLMs, RAG, summarisation and extraction capabilities. You will work closely with GenAI Engineers, Platform Engineers, Product, Architecture and Business Delivery teams to turn business problems into robust AI-powered applications. The role would suit a strong software engineer with hands-on experience building cloud-native applications, embedding AI capabilities into production systems, and taking ownership across the full delivery lifecycle. Key responsibilities: Design, build and maintain AI-enabled applications using enterprise GenAI services Develop production-grade microservices and/or full-stack applications Integrate LLM, RAG, summarisation and extraction services into secure, scalable applications Own end-to-end delivery, including development, CI/CD, deployment, monitoring and incident resolution Build API-led, cloud-native solutions with strong engineering standards Implement observability, logging, metrics and alerting for live production workloads Work closely with product, platform, architecture and business teams to deliver high-impact AI applications Ensure applications meet non-functional requirements around security, scalability, resiliency, performance and cost Essential skills: Strong software engineering background with experience delivering complex distributed systems Proven experience building and deploying production-grade applications that embed AI capabilities Strong Python experience Experience with LangGraph, Strands and DeepEval Strong AWS experience, ideally including Lambda, Fargate/ECS, ECR, Bedrock, S3 and RDS/Postgres Experience integrating applications via APIs, including REST and async/event-driven patterns Docker and Kubernetes/EKS experience Experience operating applications in cloud environments Strong understanding of security, resiliency, scalability, performance and observability Experience with monitoring tools such as CloudWatch and/or Datadog* Experience with testing strategy and LLM evaluation Nice to have: React, Next.js and TypeScript experience Experience delivering AI-enabled user experiences, such as chat-based interfaces or intelligent workflows* Familiarity with GenAI concepts, including LLMs, RAG patterns, prompt-driven workflows and AI service orchestration This is an opportunity to join a mature AI function delivering real GenAI applications into production, working on enterprise-scale use cases with strong platform, engineering and governance support.

Full Stack AI Engineer London2-3 Days a Week On Site£500-£600 Per DayInside IR35Immediate Start The Company They are a large, established organisation investing heavily in applied AI to improve customer-facing and internal capabilities. The business operates at enterprise scale and provides standardised GenAI services through an internal platform. Technology teams work closely with product, architecture, and delivery stakeholders to solve meaningful, real-world problems. The environment values engineering quality, collaboration, and accountability for outcomes. The Role and Deliverables • Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification., • Develop cloud-native microservice or full-stack applications using API-led architectures., • Integrate AI capabilities securely and reliably, in line with platform standards and guardrails., • Take end-to-end ownership from local development through CI/CD, deployment, monitoring, and incident resolution., • Build and maintain DevSecOps pipelines with automated testing, security controls, and infrastructure as code., • Implement observability, logging, metrics, and alerting to support live production workloads. Your Skills & Experience • Strong experience in software engineering, delivering complex distributed or microservice-based systems., • Proven capability building and operating production applications with embedded AI or machine learning features., • Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant., • Solid experience integrating systems via APIs, including REST and event-driven patterns., • Hands-on DevOps expertise covering CI/CD, containerisation, and cloud platforms such as AWS or Azure., • Strong understanding of non-functional requirements including security, resilience, performance, and scalability., • Confidence working across multidisciplinary teams and communicating technical concepts clearly. How to Apply If you are looking for a contract role where you can deliver meaningful AI solutions at scale, apply to learn more about this opportunity.

We are recruiting founding Platform Engineers on behalf of a fast-growing enterprise level (global, 500+ staff) software business with a strong engineering culture and a genuine commitment to doing things the right way. They have recently formed a dedicated Platform Engineering Group - and this is your opportunity to join it at the ground floor, helping to define the patterns, pipelines, and tooling that will shape how their engineering teams build and ship software for years to come. Location: Remote (UK-based), with occasional visits to a Central London HQ for team days. Salary: £80,000 to £85,000 per annum, plus 10% annual bonus and an extensive benefits package. Working arrangement: fully remote. Contract type: permanent. What you'll be doing • Designing and building internal tooling, templates, and scaffolding that make the right way the easy way for engineering teams across the business., • Building and maintaining CI/CD pipelines that are robust, fast, and production-ready - reducing friction for every team that depends on them., • Treating developer experience as a product - gathering feedback from engineers, identifying pain points, and iterating toward solutions that deliver measurable value., • Owning test architecture as a deliberate design problem - defining and embedding standards for unit, integration, and contract testing across the platform., • Collaborating closely with engineers, architects, and stakeholders to surface ideas, take on feedback, and shape the direction of the platform engineering function. What you need to bring • Strong software engineering skills with real depth in at least one language, and a clear point of view on stacks, tooling, and trade-offs. Java, C#, Python, Typescript, Go - all valid!, • Solid hands-on experience designing and building CI/CD pipelines, and running containerised workloads in production., • Experience with Infrastructure as Code - CloudFormation/CDK, Terraform, or Pulumi (Any of / all of!) - and the confidence to build pipelines that hold up under real production load., • A track record of building tooling or automation that other engineers rely on day-to-day, and strong communication skills to match., • Desirable: AWS experience, GitHub Actions, hands-on continuous release, progressive delivery, or production observability. Why you'll love this job • This is a pattern-setting role in a newly formed group - you'll have genuine influence over how the platform is built, not just be handed a backlog to work through., • The business takes learning seriously - dedicated personal development time each week, access to an online training platform, annual conference attendance, and regular Innovation Time to explore your own ideas., • An excellent benefits package that includes health insurance, income protection, life assurance, pension contribution, subsidised gym membership, and more. If you're an engineer who cares deeply about how software gets built - not just that it gets built - we'd love to hear from you. Apply now with your CV!

Senior Python Engineer (Django / DevOps / IaC) Retail Hybrid: either London or Welwyn Garden City (whichever is closest) 3 days per week6 months£850 per day In short: Our Application Security team require a strong Python generalist to run, deploy and maintain purpose-built applications. You'll need solid experience across Python development, DevOps, Cloud and an awareness of security protocols. About The Role We are committed to align with the digital advancements of the business and secure new technologies that enable our business to have a superior focus on serving our customers, communities, and planet. As part of our Security Engineering Platforms team, we build and operate centralised security tooling that enables thousands of developers to ship secure software by default, at scale. We are seeking a skilled Python Developer to join our engineering team. You will be responsible for building robust, secure, and scalable services that automate security testing at scale using Django and related technologies. Beyond coding, you'll actively engage in architecture discussions, security implementations, CI/CD pipeline development, and help transition MVP applications into production-grade systems. Your work will directly strengthen the security posture of applications, APIs, and cloud-native systems across the business by making security tooling fast, reliable, and seamless for every development team. You will be responsible for • Design, develop, and maintain scalable REST APIs using Django., • Build and operate asynchronous task pipelines (Celery/Redis) that orchestrate security scanning at scale., • Ensure best practices for code quality, performance, and security., • Integrate robust security practices into all API layers, including authentication, authorisation, data validation, and protection against vulnerabilities., • Develop and manage CI/CD pipelines for automated testing, deployment, and monitoring., • Work closely with core devops teams or independently handle infrastructure and deployment tasks., • Review, refactor, and productionise MVP codebases, improving code clarity, documentation, and maintainability., • Manage Docker container images through build, test, and deploy to kubernetes, • Collaborate cross-functionally with product managers, frontend developers, and engineering teams., • Leverage AI-assisted development tools to accelerate code review, testing, and documentation., • Participate actively in technical discussions, contributing innovative ideas and solutions. You will need • Strong experience in Python development, specifically with Django and Django REST Framework at senior level., • Experience with asynchronous task queues (Celery, Redis), • Solid understanding of REST API design principles and best practices., • Proficiency in relational databases (PostgreSQL/MySQL), and ORM (Django ORM in particular)., • Familiarity with containerisation and orchestration (Docker, Kubernetes), • Strong understanding of software engineering best practices, including testing (unit, integration, and end-to-end)., • Experience deploying applications to cloud platforms (Azure preferred)., • Effective communication and ability to collaborate with cross-functional teams to integrate security practices., • Experience working in an agile environment, such as Scrum. Nice to have • Experience with SAST/DAST tooling and security automation, • Familiarity with API security patterns (JWT, OAuth, rate limiting), • Comfortable working with AI-assisted development tools, • Experience with Infrastructure as Code (Terraform) and configuration management (Ansible), • Experience operating and administering Linux distributions (RHEL, Ubuntu), • Familiarity with cloud-native services (Azure AKS, ACR), • Exposure to frontend frameworks (React, Vue.js), • Operations and technical troubleshooting experience Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Principal Full Stack Engineer & Architecture LeadLondon (Hybrid)£80,000 - £90,000 + BenefitsCommand Recruitment is proud to be partnering with an ambitious and rapidly growing healthcare company that is transforming access to specialist healthcare services across the UK.This is a fantastic opportunity for an experienced Principal Engineer or Technical Architecture Lead to play a key role in shaping a modern, cloud-native healthcare platform that is making a genuine impact on people's lives.Our client is building one of the UK's most innovative healthcare service platforms and is seeking a hands-on technical leader who can combine strategic architecture with strong full-stack engineering expertise.The OpportunityAs Principal Full Stack Engineer & Architecture Lead, you will take ownership of platform architecture, engineering standards, cloud infrastructure, and technical delivery across the business.You'll work closely with senior leadership, including the CTO, Director of Engineering, Product teams, and Data teams, to drive scalability, resilience, performance, and engineering excellence while remaining hands-on with development.This role would suit someone who enjoys solving complex technical challenges, mentoring engineers, and building modern distributed systems within a fast-moving product-led environment.Key ResponsibilitiesArchitecture & Technical Leadership Lead platform architecture and technical design decisions Define scalable, secure, and maintainable engineering standards Provide technical leadership across frontend, backend, APIs, infrastructure, and integrations Drive platform scalability, resilience, observability, and performance Partner with leadership teams to align technical strategy with business goals Act as the senior technical authority for complex engineering decisionsHands-On Engineering Contribute directly to backend and frontend production code Build scalable applications using Node.js, TypeScript, React, and Next.js Design and develop AWS serverless and event-driven systems Develop and optimise PostgreSQL databases and queries Support engineering teams with the delivery of complex technical initiativesCloud, DevOps & Infrastructure Design and maintain CI/CD pipelines and deployment automation Build Infrastructure as Code using Terraform or AWS CDK Improve engineering workflows, release processes, and platform reliability Implement best practices across monitoring, logging, security, testing, and resilience Ensure systems remain secure, scalable, and compliant with GDPR and healthcare regulationsEngineering Leadership Mentor and support engineers across the organisation Conduct code reviews and promote engineering best practices Help establish coding standards, testing frameworks, and operational excellence Foster a collaborative, high-performing engineering cultureTechnology StackCloud & Infrastructure AWS (Lambda, API Gateway, EventBridge, SQS, Step Functions, S3, CloudWatch, RDS)Backend Node.js, TypeScriptFrontend React, Next.js, Tailwind CSSData & Architecture PostgreSQL, Serverless, Event-Driven MicroservicesDevOps & Observability Terraform / AWS CDK, CI/CD, Monitoring & LoggingAbout YouWe are looking for a technically strong and commercially minded engineering leader with: 10+ years of software engineering experience Proven experience operating at Principal Engineer, Staff Engineer, or Architecture Lead level Strong AWS cloud and serverless architecture expertise Excellent full-stack development experience across Node.js, TypeScript, React/Next.js, and PostgreSQL Experience leading technical direction across engineering teams Strong understanding of distributed systems and event-driven architecture Experience designing scalable, secure, production-grade systems A hands-on mindset with a passion for building high-quality technologyDesirable Experience Life Science or regulated industry experience GDPR and data security knowledge AI/ML integrations or personalisation systems SaaS or startup experienceWhat's On Offer £80,000 - £90,000 salary Hybrid working (office 2-3 days per week) 30 days holiday including bank holidays Pension contribution Birthday day off Modern equipment provided Team events and collaborative culture Opportunity to shape a fast-scaling healthcare platform with genuine social impact

Platform EngineerLondon, Hybrid (3 days on-site) Up to £150,000 + Equity + BenefitsThis is a rare opportunity to join an early-stage, high-calibre team building in one of the most exciting areas of the AI ecosystem. The business is tackling a complex and emerging market, creating a platform that brings greater transparency and efficiency to infrastructure powering modern AI systems. You will play a critical role in shaping both the platform and the engineering culture from the ground up.The Company They are a well-funded, early-stage technology business operating at the intersection of AI infrastructure and financial markets. Backed by leading investors and led by a highly experienced founding team, they are focused on building a new category of platform within a rapidly growing space. The team combines expertise across engineering, data science, and trading, with a strong track record of building and scaling successful products. This is a pivotal growth phase as they expand both their product and technical capabilities.The Role You will be the first dedicated Platform Engineer, working closely with the founding team to design and deliver the core platform. This is a hands-on role with significant ownership and influence over technical direction. • Design, build, and maintain a scalable trading platform on Google Cloud Platform, • Own and optimise deployment processes for reliability and performance, • Develop and manage services running within Kubernetes environments, • Build and scale infrastructure using Terraform and infrastructure-as-code principles, • Contribute to backend development using Python and PostgreSQL, • Collaborate with founders and data teams to solve complex technical challenges, • Help shape technical strategy and influence future hiring and engineering standardsYour Skills & Experience, • Strong commercial experience building and scaling distributed systems in production, • Deep knowledge of cloud platforms, ideally GCP, alongside Kubernetes and Terraform, • Expertise in backend engineering using Python and relational databases such as PostgreSQL, • Experience implementing robust deployment and CI/CD pipelines, • Ability to operate in a fast-paced environment with a high level of ownership, • A mindset focused on impact, problem-solving, and continuous learning, • Exposure to trading systems, financial platforms, or regulated environments is beneficial but not required, • Interest in leveraging modern AI development tools to improve productivityWhat They Offer, • Up to £150,000 base salary, • Equity package with strong long-term upside, • Hybrid working model based in a central London office, • Opportunity to work directly with an experienced founding team, • Significant scope to shape the platform, product, and engineering direction, • Clear progression as the company scales and builds out its engineering function

Lead AI Engineer Location: Hybrid - London (Flexible)Salary: from £80,000 + bonus + benefitsContract: Permanent, Full-time About the Company We're partnering with a growing technology-focused business investing heavily in AI, automation, and next-generation digital platforms. The company is building AI-enabled tools and intelligent internal systems designed to improve operations, workflows, and decision-making across the organisation. With a strong engineering culture and a product-led environment, they are focused on delivering practical AI solutions that create measurable business impact. This is an opportunity to join during a key growth phase and play a leading role in shaping how AI is adopted and deployed across the business. The Role We're looking for an experienced Lead AI Engineer to join a growing engineering team and help design, build, and deploy scalable AI-powered applications and services. This is a highly hands-on role focused on turning ideas into production-ready solutions. You'll work across backend engineering, AI integration, APIs, cloud infrastructure, and automation while collaborating closely with product and technical stakeholders. You'll also help evaluate emerging AI technologies and contribute to best practices across AI engineering and platform development. Key Responsibilities • Design and build AI-enabled applications, tools, and workflows, • Integrate LLMs and AI services into production systems, • Develop APIs, backend services, automations, and data pipelines, • Translate business requirements into scalable technical solutions, • Prototype and iterate quickly on AI-driven features and use cases, • Write clean, maintainable, production-quality code, • Improve reliability, scalability, monitoring, and performance of AI systems, • Support deployment and operationalisation of AI applications, • Mentor engineers and contribute to technical best practices, • Work closely with product, engineering, and business stakeholdersRequired Background & Skills, • Strong software engineering background with backend development expertise, • Strong Python experience and cloud-native development, • Experience integrating AI / LLM technologies into real-world applications, • Experience building scalable production systems, • Understanding of APIs, distributed systems, microservices, and system design, • Experience with cloud platforms such as Azure, AWS, or GCP, • Familiarity with DevOps / MLOps tooling including Docker, Kubernetes, CI/CD, monitoring, and logging, • Comfortable operating in fast-paced, product-led environmentsNice to Have, • Experience with RAG pipelines, vector databases, or AI agents, • Exposure to machine learning workflows and applied AI systems, • Experience building internal AI platforms, copilots, or automation tools, • Startup or scale-up experienceWhy Apply?, • Join a growing team investing heavily in AI and emerging technologies, • Work on real-world AI products and production systems, • Hybrid London role with flexible working, • Strong progression opportunities within a modern engineering environment, • Competitive salary, bonus, and benefits package Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery. This is a hands-on senior platform role, focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role. Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI / ML platform, not just running clusters. You will: • Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams, • Extend Kubernetes with MLOps-specific capabilities, rather than treating it as a finished product, • Provideplatform-level support for:, • Model development and experimentation, • Model packaging, deployment, and promotion, • Scalable inference and LLM-based workloads, • Build shared platform services that enable consistent, repeatable model deployment, even where day-to-day deployment is owned by MLOps or ML engineers, • Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose, • Own platform operability, reliability, security, and lifecycle management in production, • Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers, • Contribute to architectural decisions while remaining hands-on with implementationWhat we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer, with the depth to support AI and ML workloads properly. Essential experience: • Strong background as a Senior Platform Engineer or Senior DevOps Engineer, • Deep, hands-on experience building and operating Kubernetes-based platforms, • Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform), • Proven experience building internal platforms for other engineers, not just running workloads, • Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability, • Comfortable collaborating closely with MLOps engineers and data scientists, even where responsibilities differML platform & MLOps knowledge (important) You don't need to be a full-time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: • MLOps platforms (e.g. Kubeflow or similar frameworks), • Model serving and inference platforms (e.g. KServe, vLLM, or equivalent), • Supporting LLM-based workloads, including performance and scaling considerations, • Notebook environments such as JupyterHub, • Awareness of emerging tooling around Responsible / Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience • Working in organisations with a clear AI or data platform strategy, • Supporting data scientists or ML engineers at scale, • Experience in regulated, secure, or high-assurance environments, • Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

SENIOR AI PLATFORM ENGINEER£130,000 UKThis is an exciting opportunity to join a remote-first SaaS business at a pivotal moment in its evolution. You'll take ownership of building AI-driven platform capabilities, working on agentic workflows and production-grade AI systems that sit at the core of how modern product teams collaborate. The role offers high autonomy, deep technical ownership, and real product impact.THE COMPANYOur client is a fast-growing SaaS business operating in the product and design tooling space. They build a platform used by product, design and engineering teams to document, scale and govern complex systems more effectively. The business is remote-first, highly product-led, and places a strong emphasis on quality, long-term thinking and ownership.This role has been created as part of a strategic shift towards AI-assisted and agentic workflows, offering the chance to help define how AI is embedded across a mature, widely-used platform.THE ROLE • Own the design and development of an AI-driven platform supporting agentic workflows, • Build orchestration layers that respond to changes in code, documentation and design tools, • Develop reliable, production-ready AI features using modern LLM frameworks, • Work end-to-end across frontend, backend and AI platform layers, • Collaborate closely with product and design to deliver high-quality, user-focused solutionsThis role is exciting because it sits at the intersection of AI, product and platform engineering, with the opportunity to shape core capabilities used by teams at scale.YOUR SKILLS AND EXPERIENCE, • Experience building agentic AI systems and orchestration workflows in production, • Strong knowledge of LLM frameworks, retrieval systems and AI platforms, • Full-stack development experience across frontend, backend and platform layers, • Strong React experience and understanding of modern patterns, • Product-focused mindset with empathy for end users, • Experience in startup or scale-up environments with long-term ownership, • Ideally 7+ years' experienceSALARY AND BENEFITS, • £95,000 - £130,000 base salary, • Stock options, • Pension scheme, • Fully remote working (UK-based), • All-expensed team meet-ups in London several times per year, • Visa transfer sponsorship availableHOW TO APPLYPlease register your interest by sending your CV to Harry Lack through the 'Apply' link.

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do • Design, build, and deploy production-grade generative AI systems that perform reliably at scale., • Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content., • Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability., • Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency., • Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs., • Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team., • Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment., • Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience • Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph., • Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage., • Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation., • Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness., • Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments., • A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

University of the Arts London (UAL) is a world-leading creative University for teaching and research in art, design, fashion, communication and performing arts. UAL is made up of six renowned colleges and hosts several centres and institutes that further the University’s mission and social purpose, through the students and ideas we send out into the world and the partnerships we build to achieve social, environmental, and economic progress. Digital & Technology at UAL is on an exciting journey, transitioning from a ‘classic’ IT approach to a user-centred product approach to technology. We are investing in our people, and the processes enabled by digital, to evolve and transform the student and staff experience at UAL. We are seeking a highly skilled Horizon VDI Engineer to join our IT Infrastructure Platforms team. In this role, you will be primarily responsible for the design, deployment, management, and support of our enterprise Horizon VDI platforms, with a strong focus on Omnissa (formerly VMware) Horizon VDI solutions. Approximately 75% of your responsibilities will focus on VDI, including user experience optimisation, automation, and virtual desktop lifecycle management. The remaining 25% will involve managing and supporting the underlying VMware vSphere hypervisor infrastructure that powers our virtual desktop environment. This is an ideal opportunity for an engineer passionate about delivering secure, scalable, and high-performing virtual desktop experiences using the latest in VMware/Omnissa technologies. This role is a 2-year fixed term contract. Experience • Proven experience supporting and managing enterprise Horizon VDI platforms., • Strong experience with; Omnissa Horizon, Unified Access Gateways, Connection Servers, Dynamic Environment Manager, App Volumes, • Solid understanding of Windows 10/11 and Windows Server 2016/2019/2022/2025 environments., • Proficiency with VMware vSphere infrastructure for virtualization and resource management., • Experience with Active Directory, Group Policy, DNS, and DHCP., • Scripting skills using PowerShell or equivalent automation tools., • Strong understanding of networking fundamentals related to VDI, including ports, protocols, load balancing, and firewall configurations., • Familiarity with endpoint management and application delivery methods. UAL is a world-class University shaping the creative industries worldwide, with staff having access to a range of benefits, training and personal development to recognise and reward the contributions they make, as well as to encourage excellence, creativity and diversity, including: • Competitive salary of £44,375 - £52,977 (plus 6% market supplement) per annumper annum, dependant on experience, • 34 days annual leave plus public holidays, • Generous, defined benefit pension scheme, • Family-friendly policies, including 26 weeks of paid maternity or paternity leave HAYS Technology have been retained by University of the Arts London to manage the search and recruitment of this role. For all enquiries, please contact Liam Cornelius-Rumsey at Hays Technology.

Founding AI Engineer Location: London (Hybrid / Flexible)Salary: Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms, the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role, not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: • Core system architecture, • AI/ML strategy and implementation, • Data modelling and enterprise integration patterns, • Early product design decisions, • Engineering standards and scalability approach Key Responsibilities • Design and build core components of an AI-native enterprise platform from the ground up, • Develop and deploy machine learning and LLM-based systems in production environments, • Build scalable data and AI pipelines across complex enterprise datasets, • Work closely with early enterprise customers to refine requirements and shape product direction, • Define and implement system architecture for AI, data, and integration layers, • Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks, • Implement robust MLOps pipelines for model training, deployment, monitoring, and governance, • Contribute directly to production code in Python and related AI/data tooling, • Support technical decision-making around cloud architecture, scalability, and system design, • Help establish engineering best practices in a fast-moving early-stage environment Tech Stack • Python, • TensorFlow / PyTorch, • LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling), • AWS / Azure cloud platforms (including AI services such as Bedrock), • Data engineering tools (e.g. AWS Glue or equivalent), • NLP, embeddings, vector databases, RAG architectures, • MLOps tooling for model deployment and monitoring, • Experience with distributed data systems and APIs Required Skills & Experience • Several years' experience in software engineering, data engineering, or AI engineering roles, • Strong academic background in Computer Science, Engineering, Mathematics, or similar, • Experience working in a product-led technology environment (SaaS, AI platform, or similar), • Proven ability to ship production-grade AI or data systems, • Strong Python engineering capability, • Experience with modern ML / LLM systems and frameworks, • Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP), • Comfortable working in early-stage environments with ambiguity and ownership, • Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) • Cyber security / identity / access management (IAM / IdAM) exposure, • Cloud operations, DevSecOps, or infrastructure-heavy environments, • Experience in regulated or enterprise-scale domains, • Knowledge of enterprise data governance, data modelling, or integration architecture How You Work • Highly hands-on and enjoys building systems end-to-end, • Comfortable operating in ambiguity and shaping problems as well as solving them, • Strong bias toward delivery, iteration, and practical engineering outcomes, • Collaborative, but able to take full ownership of technical decisions, • Interested in building foundational systems, not just features What We Offer • Highly competitive base salary (DOE) + bonus, • Equity / stock options in a high-growth early-stage business, • Private medical insurance, • Hybrid working (London-based, flexible model), • High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. 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A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you’re looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive — a group of talented professionals who genuinely enjoy working together. • Key Responsibilities, • Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects., • You must have at least 4 years Python experience, • Experience with Typescript and a years Javascript Key Requirements • Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP., • Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures., • Bachelor’s or Master’s degree in Computer Science, Engineering or equivalent experience., • Experience with CI/CD tools and practices., • Strong problem-solving & communication skills., • Adaptability/willingness to learn (e.g., Agile)., • Technical leadership (mentoring, best-practice guidance). Desirable: • Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery)., • Experience with database schema design and query optimisation., • Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features., • Lead code reviews and technical discussions, and contribute to architectural decisions., • Lead complex coding tasks; ensure code quality., • Identify and resolve performance and scalability issues., • Write clean, maintainable, and well-documented code., • Mentor and support junior and mid-level engineers., • Stay current with emerging technologies and industry trends., • Estimate work; lead delivery of features from the roadmap., • Solve ambiguous problems with scalable solutions.

Bristow Holland is recruiting for a 100% fully remote Lead DevOps Engineer to join a global organisation and take ownership of it's DevOps function. This is a hands-on leadership role, managing a team of 4 engineers while driving cloud infrastructure, automation, CI/CD, and DevOps best practices across the business. Key Responsibilities • Lead and mentor a team of 4 DevOps Engineers, • Drive DevOps strategy, standards, and best practices, • Design and maintain Azure cloud infrastructure, • Build and optimise CI/CD pipelines, • Champion automation and a shift-left engineering culture, • Collaborate with engineering, product, and business teams Key Skills Required • 6+ years' experience in DevOps, Cloud, or Platform Engineering, • Previous leadership or team lead experience, • Strong Azure experience (AKS, App Services, Key Vault, Networking), • Kubernetes in production environments, • Terraform and Helm, • CI/CD experience, ideally Azure DevOps, • Strong understanding of cloud architecture, networking, and security This is an excellent opportunity to join a global organisation in a fully remote role where you'll have genuine ownership, leadership responsibility, and the chance to shape the future of the DevOps function.

Principal / Lead EngineerPython / Cloud / Terraform / IAM / DevOps / infrastructure-as-a-code IaC • Rate: Circa £600 - £700 PD (Outside IR35), 6 Months, • Location: London / Hybrid x2 daysWe are seeking an experienced Principal / Lead Engineer to join a highly ambitious organisation building a large-scale, mission-critical data and technology platform. This is a unique opportunity to join at the earliest stages of a major programme and play a key role in shaping its technical foundations.Working closely with the CTO and a small team of senior engineers, you will lead the design and implementation of core infrastructure, establish engineering standards and practices, and make architectural decisions that will have long-term strategic impact.If you enjoy solving complex technical challenges, influencing technology strategy, and creating robust engineering foundations, this role offers an exceptional opportunity to make a lasting impact.Role & ResponsibilitiesTechnical Leadership, • Lead the design and implementation of foundational platform infrastructure and engineering capabilities, • Define architectural patterns, engineering standards, and best practices that will guide future development, • Partner closely with the CTO and senior stakeholders to make and document key technical decisions, • Promote secure-by-design principles across all aspects of platform development, • Establish and maintain core engineering tooling, including source control, CI/CD pipelines, infrastructure-as-code, and automated testing frameworksPlatform Engineering, • Design and implement identity and access management solutions with robust authentication and authorisation controls, • Build and manage cloud infrastructure using modern infrastructure-as-code approaches, • Develop audit, workflow, and operational capabilities to support governance and compliance requirements, • Implement networking, monitoring, and security controls for highly secure environments, • Evaluate and integrate appropriate open-source technologies and third-party components, • Contribute to the design and delivery of scalable, resilient, and maintainable distributed systemsCollaboration & Team Development, • Act as a senior technical contributor within a high-performing engineering team, • Mentor engineers and help establish a strong engineering culture as the organisation grows, • Collaborate with product, design, and delivery teams to ensure technology solutions align with business objectives, • Engage with external partners, suppliers, and stakeholders where requiredEssential Skills & Experience, • Proven experience leading or making significant contributions to complex distributed, cloud-native, or federated systems, • Strong software engineering expertise in Python, including backend development, automation, and infrastructure tooling, • Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud), • Strong experience implementing Infrastructure as Code using tools such as Terraform or equivalent, • Experience designing and building authentication and authorisation systems, including modern identity standards and policy-based access controls, • Solid understanding of data storage architectures and the trade-offs between different storage and query patterns, • Experience establishing CI/CD pipelines and engineering best practices within modern software environments, • Ability to work effectively in fast-moving environments with evolving requirements and limited precedent, • Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiencesDesirable Skills & Experience, • Experience building secure, highly regulated, or mission-critical platforms, • Familiarity with federated architectures and distributed data access models, • Experience designing solutions with strong governance, auditability, and security requirements, • Knowledge of privacy-preserving technologies and secure computing environments, • Experience evaluating, adopting, or contributing to open-source technologies, • Background working within complex stakeholder environments undergoing significant transformation

Senior Data Scientist ABOUT THE COMPANY The company is a group of established pharmaceutical and healthcare intelligence solution providers that support clients across the drug development life cycle, from pipeline through to patient access. THE TEAM The Data Science team focuses on developing AI, machine learning, and advanced analytics solutions that turn complex healthcare and pharmaceutical data into actionable insights for customers. The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF THE ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI / ML to content, data, and products • Conduct research and identify AI / ML algorithms and methods to solve specific business problems, • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams as part of customer-led product development • Deploy solutions as production-grade microservices in collaboration with engineering and DevOps teams • Contribute to common data science platforms and shared data assets, • Stay up to date with advances in the field and share relevant developments with internal teams As a senior-level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, previous successful launches have typically reached general availability within approximately six months from project start. Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than using a specific technology for its own sake. Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI / ML applications and data-driven solutions, • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including foundation model APIs, prompt engineering, and retrieval augmented generation • Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, and Deep Learning • Understanding of computer science fundamentals, computational complexity, and algorithm design, • Ability to engineer and deploy well-architected software packages, • Strong communication and stakeholder management skills, with the ability to independently own and execute a project holistically at a high level • Experience mentoring junior team members Preferred Qualifications: • Deep expertise in engineering agentic AI systems, • Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data, • Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute, and storage, • Ability to prototype proof-of-concept web applications with familiarity across the full stack, • Expert usage of AI coding tools and workflows

Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production-grade software systems. This is not a traditional people-management role. Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet, and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms, particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: • Provide technical leadership across AI-enabled software and DevOps engineering teams, • Set architectural direction for API-first design, system integration, and platform enablement for AI, • Lead the modernisation of legacy or existing applications toward service-based, API-driven architectures, • Define and guide integration patterns between applications, platforms, and AI services, • Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted, • Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions, • Ensure solutions meet standards for security, resilience, performance, and operability, • Anticipate and manage architectural and operational risks associated with AI-enabled systems, • Champion strong engineering practices across software development, DevOps, and platform engineering, • Lead by example in complex environments where production reliability matters This is delivery-focused leadership, not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: • Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on leadership role, • Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability, • Deep experience designing and delivering API-driven and microservice-based systems, • Proven ability to modernise or integrate legacy systems into modern platforms, • Solid development experience in TypeScript and Python, • Experience spanning software delivery, CI/CD, infrastructure, and operations, • Comfortable setting direction and influencing teams without relying on formal authority, • Able to balance innovation with pragmatism in production environments Desirable experience: • Integrating software systems with AI platforms or AI-enabled services, • Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol), • Platform engineering or DevOps at scale, • Experience working in regulated or security-conscious environments, • Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

AI FORWARD DEPLOYED ENGINEER£110,000UKThis is an exciting opportunity to join a fast-growing, AI-led technology business working on complex, real-world problems at enterprise scale. The role is ideal for an engineer who enjoys being close to customers, owning delivery end-to-end, and seeing advanced AI solutions live in production.THE COMPANYOur client is an AI-first technology business operating in the life sciences and data space. They work with large enterprise customers globally, helping teams extract value from vast and complex datasets using modern AI and NLP techniques. The business is scaling quickly, with this role created to support growing customer demand and large-scale enterprise deployments.THE ROLE • Lead technical delivery for enterprise customers, owning integrations from initial proof-of-concept through to production, • Design and implement AI-driven integrations, including LLM-powered and agent-based workflows, • Act as a technical partner to customers, understanding requirements and translating them into scalable solutions, • Feed customer learnings back into the core platform, influencing product and engineering direction, • Work closely with internal engineering teams to improve platform capability and robustnessYOUR SKILLS AND EXPERIENCE:, • 6-8 years' experience building production-grade ML, data or software systems, • Proven experience deploying NLP or LLM-based features into production environments, • Strong exposure to RAG, retrieval or recommendation systems, • Experience working with vector databases and end-to-end LLM workflows, • Familiarity with graph databases and cloud data platforms, • Confident communicator with strong stakeholder management skills, • Consultancy or customer-facing technical experience is advantageousSALARY AND BENEFITS, • £80,000 - £110,000 base salary, • Fully remote working modelHOW TO APPLYPlease register your interest by sending your CV to Harry Lack through the 'Apply' link.

Our client is a major European ecommerce group operating a portfolio of consumer brands across 90+ international markets. Having already invested heavily in data, technology and digital transformation, the business is now making a significant investment in AI and has launched a brand-new AI Innovation Hub to lead that evolution. This is a rare opportunity to join at the beginning of that journey and help shape how AI is adopted across a large international ecommerce business. Role Overview • The first AI Engineer hire within the newly established AI Innovation Hub, • You’ll help shape the AI strategy, influence the technical roadmap and build production-grade AI products that solve real business problems., • This is a highly visible role with direct exposure to senior leadership and the opportunity to influence both what gets built and how it gets built., • The environment is fast-moving, highly collaborative and focused on execution rather than experimentation for experimentation’s sake. Scope of Role • Design, build and deploy AI-powered products and applications, • Develop production-grade LLM solutions and agentic workflows, • Build RAG architectures and knowledge retrieval systems, • Integrate AI applications with internal platforms, tools and business systems, • Identify opportunities where AI can create measurable commercial impact, • Partner with senior stakeholders across product, technology and commercial teams, • Help define the long-term AI architecture and engineering standards, • Evaluate emerging technologies and determine where they can create competitive advantage The Opportunity • Help build an AI function from the ground up, • Significant ownership and influence from day one, • Greenfield environment with freedom to shape the roadmap, • Exposure to senior leadership and strategic initiatives, • Work across multiple brands, products and business challenges, • Opportunity to build AI products that create real-world impact at scale Your Experience • Strong software engineering foundations, • Experience building and deploying AI products into production environments, • Python and modern backend engineering experience, • Experience with LLMs, RAG architectures and agentic AI systems, • MCP or similar protocols for connecting AI systems with tools and external services, • Strong product thinking and commercial awareness, • Experience operating within high-growth, scale-up or rapidly evolving environments, • Ability to balance technical excellence with business outcomes Compensation • Up to £150,000 + Bonus + Benefits, • Hybrid or remote working available (based on candidate preference) If you’re excited by the opportunity to build AI products from the ground up, influence strategy from day one and see your work deployed across a global ecommerce organisation, please apply today.

Senior Software Engineer (Backend)London - Hybrid (3 days in office) Up to £85k + benefits What if the systems you built were used every day by millions of readers around the world? A long-established, AI-driven technology business is hiring a Senior Software Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands-on senior role within a strong London-based engineering team, focused on backend systems at the core of the platform. The role Build and evolve backend services powering AI-driven products Focus on scalability, performance, and reliability Work closely with Product and Data Science Contribute to architecture and technical improvements Tech Stack:- Java, Python, AWS, MongoDB, MySQL, Kubernetes, Git What they're looking for: 5+ years' backend or server-side engineering experience Strong system design and production experience Autonomous, senior-level engineer Background from strong engineering environments If you would like to find out more, please contact James Chau at .

AI Engineer • Location: Flexible (UK), • Reporting to the Squad leader, • Salary: £80k–£100k The company is a global hospitality software leader with its award-winning SaaS platform. Recognised in the UK’s Top 35 AI Companies, and a leader in hospitality tech — it has built a reputation for innovation, excellence, and a relentless drive to transform the experience ecosystem. As we enter a new era of AI-driven product development, we are seeking a hands-on, visionary Data Scientist to help shape the future of our platform and accelerate our transformation. The Opportunity • You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models., • Your work will be project-driven, and highly visible — with the unique satisfaction of seeing your innovations deployed instantly to tens of thousands of clients worldwide., • This is a role for someone who wants to build, not just advise. Someone who wants to lead by example, not from the sidelines. Someone who wants to shape the future of a global SaaS platform. What You will Bring Core Expertise • Proven experience delivering AI-prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate:, • Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows., • or hands-on experience building and deploying ML or Deep Learning pricing/ analytical models., • You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini, Sonnet., • You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume third party data and features in order to quickly improve our market delivery., • You will be expected to provide assistance and advice related to the deployment of AI based projects., • Ability to influence/inspire other engineers and help shape product design and release processes through AI-driven skills. Who You Are • You have learned from the best — and now you want the freedom to drive meaningful, practical change., • You lead by doing sleeves rolled up, hands on the keyboard, setting the pace for others., • You value theory, but you prioritise practical execution and measurable outcomes., • You are energised by seeing your work impact 30,000+ organisations globally, not just internal stakeholders., • You are resilient: legacy stacks (MS-SQL, C#, JavaScript, ongoing React migration) do not scare you — they motivate you., • You are excited to join the core platform Squad’s, long-standing mission to standardise language, data structures, UX and UI navigation standards and you can bring structure, clarity, and discipline to projects., • You thrive in environments where excellence matters more than ego, and where the team is united by a desire to win. Work Style & Culture This role is for someone who loves solving puzzles, building solutions, and pushing boundaries. It is not a lifestyle job — it is a mission-driven one. That said, the company offers: • Flexible working hours, • Flexible working locations (most engineers work from home), • A friendly, bright, ambitious team, • A culture that embraces change, learning, and innovation You will be joining people who genuinely love what they do, and who are committed to delivering the best hospitality software in the world.

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing • Design and optimise scalable RAG pipelines and vector search systems, • Orchestrate multi-model AI services with a focus on latency, resilience and performance, • Productionise GenAI workflows and ensure they operate reliably under real usage, • Build and run AI services across AWS and Databricks, • Develop ingestion, embedding and retrieval pipelines, • Deploy containerised workloads via Kubernetes and Helm, • Implement Infrastructure-as-Code using Terraform, • Introduce end-to-end monitoring, tracing and alerting for AI workloads, • Improve inference and retrieval performance while reducing operational cost, • Establish fault-tolerant, scalable infrastructure patterns, • Embed security, evaluation and governance into the AI lifecycle, • Build CI/CD pipelines and automation to support continuous model deployment, • Create reusable platform components to accelerate future AI initiatives Strong experience in: • Cloud infrastructure engineering (AWS-focused environments), • Kubernetes, containerisation, and distributed systems, • Terraform / Infrastructure-as-Code, • CI/CD, automation, and platform reliability, • Running production workloads with high availability requirements Plus, experience with one or more of the following: • MLOps or ML platform engineering, • RAG architectures, embeddings, or vector search, • Model serving, observability or performance optimisation, • Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? • Work on real-world AI systems operating at scale, • Own platform design decisions and influence long-term architecture, • Blend modern DevOps practices with cutting-edge Generative AI use cases, • Be part of a growing, innovation-driven engineering environment, • Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR3 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Senior Frontend Engineer (React / Next.js) This is a Perm role In partnership with Robert Half Ltd and Tony Koyratty Location: Central London (Work Pattern 2 days in office and 3 days from home) £90,000 - £95,000 + Benefits | Hybrid Working Join a fast-growing, purpose-driven technology business with ambitious expansion plans and a product trusted by millions of people This is an exciting opportunity to join at a pivotal stage of growth, where you'll have the chance to influence product direction, shape technical decisions, and play a key role as the business continues to scale. The Opportunity We're looking for a Senior Frontend Engineer with deep React and Next.js expertise and a passion for creating exceptional user experiences. You'll work closely with Product and Design to transform high-fidelity Figma designs into beautiful, responsive, pixel-perfect applications while helping shape the future architecture of a rapidly scaling platform. What We're Looking For • Strong commercial experience with React, Next.js, TypeScript, HTML & CSS, • Proven ability to build high-quality, responsive user interfaces, • Experience translating Figma designs into production-ready code, • Strong understanding of frontend performance, accessibility, and best practices, • Experience contributing to frontend architecture and reusable component libraries, • Collaborative mindset with a passion for product quality and user experience Why Join? • High-growth business with genuine progression opportunities, • Influence product direction and customer experience, • Modern technology stack and engineering culture, • Hybrid working and flexible environment, • Strong benefits package APPLY NOW!!! Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Senior Full Stack Engineer (Python / React) Fast-Growing Sports AI Company KEY POINTS • Hybrid role based in London, • Build real time, data rich web applications for the sports industry, • Full ownership of the stack, from Next.js front end to Python back end, • Small, fast-moving team with high ownership and real impact, • Stack flexible, as long as you are happy in Python, FastAPI and React, • Salary up to £100,000 depending on experience, • Ideally a genuine sports fan ABOUT THE CLIENT We are supporting a fast growing company building cutting edge AI solutions for the sports industry. The business is small, ambitious, and moving quickly, building real time, data rich products that analyse and predict the sports millions of people care about. This is an environment where engineers have genuine ownership and a direct impact on product direction and technical architecture from day one. If you love building across the whole stack and want to be a builder rather than a cog in a machine, this is for you. THE ROLE, SENIOR FULL STACK ENGINEER As a Senior Full Stack Engineer, you will own the full product lifecycle, from building intuitive, performant web interfaces in Next.js and React through to designing robust Python back ends that handle real time, data rich workloads. This is a high-ownership, hands-on role in a small team, where you run and deploy your own work and have a direct line to product decisions. KEY RESPONSIBILITIES • Build intuitive, performant web interfaces using React, Next.js and TypeScript, • Design and maintain sophisticated APIs using Python and FastAPI, • Work with real time data streaming, including SSE and WebSockets, • Translate complex sports data and logic into clean, efficient code, • Own the front end lifecycle independently, from development to deployment, • Collaborate with a small, high-calibre team to iterate quickly on new features ESSENTIAL EXPERIENCE • Strong full stack experience across modern web development (stack is flexible if you are happy working with Python, FastAPI and React), • Solid front end skills with React and Next.js, plus Python back end experience, • Experience with PostgreSQL, Docker and AWS, • A good understanding of asynchronous programming and real time data, • Strong system design skills, able to solve complex problems from first principles, • Comfortable with the autonomy and pace of a small team, happy owning your own deployments, • A genuine sports fan who understands the game and the data behind it is ideal, • Right to work in the UK, no sponsorship is available for this role WHAT'S ON OFFER • Salary up to £100,000 depending on experience, • The chance to build real time AI products in the sports industry you love, • Full ownership across the stack and real influence over product direction, • Work at the cutting edge of how AI and LLMs are changing sport, • A fast-paced, evolving environment where no two weeks are the same TO APPLY Please apply via this advert or email directly. For further information, call or . By applying, you consent to us processing and submitting your application (subject to suitability) for this vacancy only.

Lead Full Stack Engineer - React, Golang £Market Rate London / Primarily Remote 4 months initially My client is an instantly recognisable consultancy who require a Lead Full Stack Engineer to join a business-critical programme for an end client.Key Responsibilities: • Own end-to-end technical design and delivery across a TypeScript/React/Vite front end and Golang microservices within a multi-tenant SWaaS architecture., • Define front-end module boundaries, API contracts (REST/gRPC), and state management; establish idiomatic Golang service structure, concurrency, and error-handling patterns., • Act as hands-on Tech Lead, driving design reviews, PR approvals, and resolving technical blockers with the Senior FSE/Scrum Lead., • Set and enforce engineering standards across TypeScript, React architecture, Vite builds, and testing (Vitest/Testing Library), alongside strong Golang test coverage., • Design and manage CI/CD pipelines covering front-end optimisation, Golang builds, containerisation, and cloud deployment across key product workstreams., • Collaborate cross-functionally with Architecture, Data Science, Product, and UX to integrate ML models and deliver FCA-aligned, performant, and accessible user experiences. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! We are seeking a Staff Software Engineer to lead the technical direction and delivery of bp’s global pricing platforms within the Global Integrated Pricing Programme (GIPP). This is a senior, high-impact role where you will shape the architecture, engineering practices, and delivery of a complex, multi-market pricing platform that supports bp’s commercial operations across Supply, Trading & Shipping (ST&S). You will work in a product-led environment, partnering closely with Product Managers and business partners to deliver scalable, secure and high-performing software solutions that drive measurable business outcomes, including pricing performance, operational efficiency and customer experience. This role combines deep technical leadership with people leadership, requiring you to lead globally distributed engineering squads while mentoring engineers and influencing organisational engineering standards. • Define and drive the technical strategy, architecture, and evolution of global pricing platforms, • Design and coordinate scalable, resilient, and secure systems operating in production, • Ensure strong engineering fundamentals across observability, monitoring, reliability, and performance, • Embed standards in software quality, testing, and maintainability, • Lead multiple globally distributed engineering squads to deliver high-quality software platforms and services, • Set clear technical direction and priorities aligned to product and business goals, • Drive consistent, predictable delivery in a product-led, agile environment, • See opportunities for optimisation, efficiency, and cost reduction, • Partner closely with Product Managers and business partners to translate requirements into scalable technical solutions, • Supply to platform strategy and roadmap aligned with business priorities, • Take accountability, alongside Product, for delivering measurable business and customer outcomes, • Collaborate across teams to ensure cohesive, end-to-end solutions, • Line manage, mentor, and coach engineers to build high-performing teams, • Attract, hire, and retain diverse, extraordinary engineering talent, • Develop a culture of continuous improvement, innovation, and engineering excellence, • Promote effective collaboration across global, multi-functional teams, • Ensure security, privacy, and regulatory requirements are embedded in system design and delivery, • Work with multi-functional teams to address compliance gaps and strengthen controls, • Maintain high standards of traceability, documentation, and audit readiness, • Drive adoption of modern engineering practices, including AI-assisted development approaches, • Continuously improve ways of working across design, build, and test, • Encourage knowledge sharing and technical excellence across the engineering community, • Confirmed experience leading and developing high-performing engineering teams in a global environment, • Strong ability to influence and drive alignment across teams, • Exceptional communication and partner management skills, • Demonstrated expertise in designing and delivering complex, large-scale software systems end-to-end in production, • Strong knowledge of system architecture, distributed systems, and cloud-native design, • Deep understanding of security, monitoring, logging, and operational excellence, • Experience with modern cloud ecosystems, particularly AWS (e.g. serverless, messaging, observability) Confidential, • Strong experience with backend and frontend technologies (e.g. C#, React or similar), • Experience with containerisation and orchestration technologies (e.g. Kubernetes), • Experience in B2C pricing, commercial platforms, or similar data-driven domains is highly desirable, • Ability to operate effectively in complex, multi-market environments, • Strong problem-solving capability, with the ability to break down complex challenges into incremental value delivery, • Commitment to continuous learning and applying new technologies, tools, and practices Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Job Family Group: Business Support Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! In a constantly changing technology landscape, in-house legal functions find themselves at the cutting edge of innovation. If you want to shape the future direction of how legal brings value for our business, then this opportunity is for you: This role supports the innovation strategy for the bp Legal, Ethics & Compliance teams and build the future of how we deliver value to the business Bp is committed to bringing organizational change through innovation and technology and this role supports the legal functions part in that strategy This role will support the evolution of the bp Legal, Ethics and Compliance functions. We want to push the boundaries of where we can take the function and are looking for someone to come along and challenge what’s possible and build a function that is set up to deliver value through innovation and technology. As such we are looking for a senior professional with demonstrable experience in delivering Legal solutions with wide exposure to the legal operations industry and wider legal industry in their career to date. Design & deliver legal solutions Lead the end-to-end design and delivery of scalable legal technology solutions, translating legal and business requirements into structured, efficient business systems Re-engineer legal processes Transform how legal services are delivered by redesigning workflows using automation, AI, and digital tools Build and configure solutions Develop and implement automated workflows, templates, and tools using enterprise and low-code platforms Integrate systems & manage data Design integrations across legal and enterprise systems, ensuring consistent, secure, and well-structured data flows Drive innovation & experimentation Explore and pilot emerging technologies, developing proof-of-concepts and translating them into practical use cases Identify high-impact opportunities Proactively spot opportunities to improve efficiency, reduce risk, and enhance legal service delivery through innovation Bridge legal and technology teams Act as a translator between legal partners and technical teams, shaping requirements into actionable solutions Enable adoption & realize value Support rollout and adoption of solutions, driving measurable improvements in efficiency, quality, and user experience Essential Education: Proven experience in legal operations, legal technology or product management with Legal Tech tools. Core Experience Proven experience in legal solutions, legal operations, or legal engineering roles Demonstrated ability to design and deliver technology-enabled solutions within a legal or professional services environment Experience working with legal platforms (e.g. DMS, CLM, matter management, or workflow tools, agentic and genAI) Consistent track record of process improvement or transformation initiatives Technical & Solution Skills Experience designing or configuring workflows, automation, or low-code/no-code solutions Understanding of system integration concepts (APIs, data flows, interoperability) Ability to structure and manage legal data, metadata, and information models Familiarity with emerging technologies (Agentic AI, generative AI, automation tools) in a legal context Professional Skills Ability to translate between legal, business, and technical stakeholders Strong analytical and problem-solving skills, with a focus on structured solution design Excellent communication and stakeholder engagement skills and team leadership skills Experience facilitating workshops, requirements gathering, and process design sessions Education & Background Degree in Law, Technology, Engineering, or a related field (or equivalent experience) Legal qualification or prior legal experience desirable but not essential The ideal candidate should be able to demonstrate or show experience of the following: Brings a product or engineering outlook to legal challenges Comfortable working in cross-functional and agile environments Passionate about innovation and transforming traditional ways of working Able to balance strategic thinking with hands-on delivery Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement: Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Analytical Thinking, Collaboration, Commercial Acumen, Communication, Creativity and Innovation, Data Analysis, Decision Making, Digital Fluency, Integration, Managing strategic partnerships, Research and insights, Risk Management, Stakeholder Engagement, Stakeholder Management, Sustainability awareness and action Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

We're looking for an AI Tech Lead for a cutting-edge startup organisation to based remotely on an initial contract basis with a view to becoming permanent as the project & product takes off paying a competitive rate with equity and bonus on offer. This is a fully remote role with the expectation to attend meetings with investors. The successful Tech Lead will serve as the sole technical owner of a greenfield, AI-native analytics and reporting platform built for private credit fund managers. Working directly with the founder, you'll make the architecture calls, set engineering standards, and write and review code from day one. You'll have genuine influence over both the product and the company as it scales. You will need proven experience working with the following: • Private credit, private markets, or capital markets, • Shipping production software with 3 to 5 of those in a tech lead or staff engineer role, • Python and TypeScript/Node, with solid React/Next.js and NestJS/FastAPI experience, • PostgreSQL, including schema design, query performance, ETL/ELT, and analytical workloads at scale, • LLM/AI features shipped to production users, covering evals, guardrails, prompt versioning, and cost control, • LangChain and LangGraph for orchestration, • Data modelling for fund mechanics, including cash flows, NAV, performance metrics, and position-level credit data, • AWS in production: IAM, S3, RDS, and containerised workloads, • CI/CD, security, observability, and designing for data sensitivity from the outset You'll also need practical exposure to the broader engineering landscape, including areas such as: • pgvector, • LiteLLM for model routing, • AWS Textract for OCR, • Docker and infrastructure-as-code, • Conversational Q&A and document ingestion systems Experience at pre-seed or early-stage startups would be a bonus. Interested? Please apply below. Tech Lead, Technical Lead, Staff Engineer, Principal Engineer, Private Credit, Private Markets, Capital Markets, AI Platform, Analytics Platform, Python, TypeScript, Node.js, React, Next.js, NestJS, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, LiteLLM, AWS, LLM, Fintech, Greenfield, Remote, Hybrid/Remote, Contract

Ruleguard have an exciting opportunity for a Solutions Engineer to join the team based in London on a hybrid basis. You will join us on a full-time, permanent contract and in return, you will receive a competitive salary of £100,000 - £120,000 per annum. The Solutions Engineer role: This is a pre-sales and solutions role sitting at the intersection of compliance expertise and technology. You will lead the technical and functional dimension of the sales process, running product demonstrations, shaping solution narratives, and ensuring that what we propose is grounded in industry realities and how the platform actually works. You will work closely with our sales team, providing the compliance depth and platform fluency that turns an interested prospect into a confident buyer. Responsibilities of our Solutions Engineer include: Demonstrations and Pre-Sales Engagement • Lead product demonstrations across the full Ruleguard platform, tailoring the narrative to the prospect's regulatory profile, firm type, and priority compliance obligations, • Prepare thoroughly for each demo, researching the prospect's context and structuring the session around their specific pain points rather than a generic feature walkthrough, • Handle functional and technical questions during demonstrations with confidence, distinguishing clearly between current platform capability and the product roadmap, • Work with sales colleagues to plan and sequence the pre-sales process, advising on when and how to deploy demonstrations, proof-of-concept exercises, and follow-up sessions, • Coach and support sales colleagues through demonstrations where a subject matter lead is not present, providing briefing materials, talk tracks, and objection-handling guidance, • Configure AI agents using goals, intent, constraints, guardrails and context to demonstrate real efficiencies that this technology can bring to our clients Solution Design and Proposals • Translate prospect requirements into clear, well-structured solution design and scoping documents for internal use and client presentation, • Map client workflows to platform capabilities, identifying where configuration can meet requirements directly, where bespoke approaches are needed, and where gaps exist, • Contribute to proposal and RFP responses, providing the functional and technical content that underpins the commercial offer, • Collaborate closely with Product and Engineering teams to surface recurring customer requirements, implementation patterns, and opportunities for product enhancement., • Support proof-of-concept and implementation activities, helping clients configure workflows, troubleshoot issues, and optimise operational adoption., • Translate complex compliance and operational requirements into scalable platform configurations, workflow logic, governance controls, and solution designs., • Work with clients to operationalise Ruleguard within real-world enterprise environments, including integration into internal systems, workflows, data sources, and approval processes., • Maintain a working knowledge of how Ruleguard is configured across different client types, using that pattern recognition to sharpen pre-sales conversations Platform Knowledge and Collateral • Develop and maintain deep working knowledge of the Ruleguard platform across all solution modules, including regulatory change, policy management, conflicts of interest, personal account trading, gifts and entertainment, and related areas, • Stay current with regulatory developments relevant to Ruleguard's client base, ensuring that demonstrations and solution narratives reflect the compliance environment prospects are operating in, • Contribute to the development of demo environments, scenario libraries, and pre-sales collateral, improving the quality and consistency of how the platform is presented to market What we are looking for in our Solutions Engineer: Compliance and Domain Knowledge • Prior experience working within or alongside a risk or compliance function in financial services, whether as a compliance analyst, associate, or officer, or in a consulting or advisory role serving compliance teams, • Solid working knowledge of core compliance disciplines including regulatory change management, conflicts of interest, policy and procedure governance, and employee monitoring, • Familiarity with the regulatory environment relevant to asset managers, wealth managers, broker-dealers, or similar regulated firms, • Genuine curiosity about how regulation is evolving and how technology can help compliance teams keep pace Pre-Sales and Client-Facing Skills • Confident and credible in front of senior compliance and risk stakeholders, able to lead a conversation rather than present slides, • Able to read a room, adapt a demonstration in real time, and handle questions without losing the thread of the narrative, • Clear written communication; produces documentation that is precise, well-organised, and appropriate for a client audience Technical and Analytical • Comfortable learning and administering SaaS platforms; picks up new systems quickly and applies that knowledge practically, • Proficient with data, dashboards, and reporting, and able to work with the outputs of a compliance platform and interpret them for a client audience, • Comfortable troubleshooting complex SaaS implementations across integrations, workflow configuration, user permissions, and data quality issues., • Familiarity with workflow automation, AI-assisted operations, or agentic SaaS concepts, including approval flows, retrieval-driven workflows, permissions, and human-in-the-loop controls., • Familiar with AI tools and their application in compliance operations and the broader GRC technology market, • Organised and methodical; able to manage multiple pre-sales engagements in parallel without losing track of detail or follow-up If you are looking for a new challenge, please click apply now to be considered as our Solutions Engineer - we’d love to hear from you!

Data Engineer Hybrid - work from home + London c£60k - £70k + Bens An exciting opportunity is available for a curious and technically ambitious Data Engineer looking to take on greater ownership. Working closely with global Finance teams and external integration partners, you'll play a pivotal role in engaging stakeholders, shaping requirements, and contributing to solution design from the outset. This role is suited to mid-level or experienced data engineers with a strong understanding of modern cloud platforms such as Snowflake, Databricks, or Microsoft Fabric, who are keen to move beyond maintenance work and help shape a platform. The client is a leading organisation in the live entertainment sector, making this particularly relevant for candidates with experience in fast-paced B2C environments such as retail, e-commerce, media, food & beverage, or travel and hospitality. Based in Central London, the company operates a flexible hybrid model, with occasional on-site attendance required. The Finance Lakehouse solution is built on Microsoft Fabric, with Power BI Direct Lake at its core, and integrates with Microsoft Dynamics 365 data across multiple regions. It serves as the central repository for finance dataflows, reducing manual processes and data duplication across the business. You'll work closely with the Data Architect, who is currently the primary resource supporting the system. The aim is to share ownership, improve resilience during busy periods, and accelerate delivery of new features and enhancements. While Fabric is the primary platform, part of the role involves optimising its use—identifying limitations, improving efficiency, and implementing practical workarounds. You'll also work with their Snowflake platform, identifying opportunities to shift functionality where it improves performance, scalability, or resilience. Key responsibilities • Develop, test and document new features for the Finance Lakehouse platform., • Share ownership of the product backlog with the Data Architect., • Share ownership of Azure and Power BI assets, including BAU support and incident response., • Build relationships with Finance stakeholders and external integration partners., • Drive improvements to the development environment and ways of working, in partnership with the Data Architect., • Stay current with platform developments and contribute ideas for improving or evolving the architecture. Skills, qualities and experience Familiar with modern cloud data platforms such as DataBricks, Snowflake or MS Fabric. Comfortable engaging directly with stakeholders, taking ownership of technical decisions, and contributing to the broader data strategy. Essential • SQL, • PySpark/Python, • DBT, • Azure knowledge (i.e. Logic apps), • Power BI/Fabric Semantic Models, • Ability to work with stakeholders with their own operational pressures., • Able to follow best practices and adapt where needed. Desirable • Previous experience of working with D365 data., • Fabric experience in an enterprise setting, including monitoring., • Snowflake or Databricks experience, • API Integration (OData ideally), • Basic accounting knowledge Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000 plus a comprehensive benefits package. For further information, please send your CV to Wayne Young at Youngs Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business.

Senior Java Engineer - PermanentSalary: 55k-65kWorking Arrangement: Fully RemoteTech Stack: Java, Spring Boot and Cloud Platforms(AWS, Azure and GCP)Desirable - Python and JavaScript I am currently working with a leading software software consultancy working with the government for a Senior Java Engineer. This role involves mentoring junior engineers, collaborating with cross-functional teams, and driving the adoption of best practices in software development. Essential • Proven experience in full-stack software development, including design, development, testing, and deployment., • Significant hands on experience with Java, Spring Boot and Microservices., • Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery., • Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns., • Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code., • Familiarity with CI/CD pipelines, automated testing, and modern software development practices., • Knowledge of technologies such as Mircroservices, containerisation (Docker, Kubernetes), or serverless architecture., • Awareness of principles like well architected and secure by design. Desirable • Previous experience in a senior engineering role, guiding teams to successful delivery., • Proficiency in multiple programming languages., • Experience in central government advantageous., • Experience in a consulting environment. Responsibilities • Design, develop, and maintain complex software solutions, ensuring they are robust, secure, tested and scalable., • Contribute to software architecture decisions, ensuring alignment with project and business goals., • Mentor and support junior engineers, helping to develop their skills and promote best practices., • Collaborate with cross-functional teams, including product management, UX/UI, DevOps, and QA, to ensure software meets business requirements., • Implement and optimise CI/CD pipelines to enhance development efficiency and software quality., • Conduct code reviews, providing constructive feedback to enhance team performance and code quality., • Troubleshoot and resolve technical issues, ensuring software operates smoothly and efficiently., • Stay current with industry trends and emerging technologies, recommending and integrating them where beneficial., • Drive improvements in coding standards, testing, and documentation within the team., • Engage in early-stage project discussions, providing technical insights and recommendations., • Ensure that development processes are followed, and contribute to process optimisation initiatives., • Communicate complex technical concepts effectively to non-technical stakeholders. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Senior Frontend Engineer (React / Next.js) This is a Perm role In partnership with Robert Half Ltd and Tony Koyratty Location: Central London (3 days onsite and 2 days from home) Join a fast-growing, purpose-driven technology business with ambitious expansion plans and a product trusted by millions of people This is an exciting opportunity to join at a pivotal stage of growth, where you'll have the chance to influence product direction, shape technical decisions, and play a key role as the business continues to scale. The Opportunity We're looking for a Senior Frontend Engineer with deep React and Next.js expertise and a passion for creating exceptional user experiences. You'll work closely with Product and Design to transform high-fidelity Figma designs into beautiful, responsive, pixel-perfect applications while helping shape the future architecture of a rapidly scaling platform. What We're Looking For • Strong commercial experience with React, Next.js, TypeScript, HTML & CSS, • Proven ability to build high-quality, responsive user interfaces, • Experience translating Figma designs into production-ready code, • Strong understanding of frontend performance, accessibility, and best practices, • Experience contributing to frontend architecture and reusable component libraries, • Collaborative mindset with a passion for product quality and user experience Why Join? • High-growth business with genuine progression opportunities, • Influence product direction and customer experience, • Modern technology stack and engineering culture, • Hybrid working and flexible environment, • Strong benefits package APPLY NOW!!! Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Senior Python Engineer London (Hybrid/Flexible Working Available) Up to £80,000 + Benefits About the Role We are seeking an experienced Senior Python Engineer to join our growing engineering team in London. You'll play a key role in designing, building, and scaling high-performance applications that power critical business functions and customer experiences. This is an opportunity to work on challenging technical problems, influence architectural decisions, mentor developers, and help shape the future of our technology platform. What You'll Be Doing • Designing, developing, and maintaining scalable Python applications and services, • Building robust APIs and microservices architectures, • Writing clean, maintainable, and well-tested code, • Collaborating closely with Product Managers, Designers, and Engineering teams, • Driving best practices in software engineering, code quality, and performance, • Participating in architecture reviews and technical decision-making, • Identifying and implementing improvements to systems, processes, and tooling, • Supporting cloud-native deployments and infrastructure automation What We're Looking For Essential • Professional Python development experience, • Strong understanding of software design patterns and engineering principles, • Experience with frameworks such as FastAPI, Django, or Flask, • Solid knowledge of RESTful APIs and distributed systems, • Experience working with relational and NoSQL databases, • Strong testing experience (PyTest, unit, integration, and automated testing), • Experience with Git and modern CI/CD pipelines, • Excellent problem-solving and communication skills Desirable • Experience with AWS, Azure, or Google Cloud, • Docker and Kubernetes experience, • Knowledge of event-driven architectures and message queues, • Exposure to data engineering, machine learning, or AI platforms, • Experience leading technical projects or mentoring engineers What We Offer • Competitive salary and performance bonus, • Flexible and hybrid working arrangements, • Private healthcare, • Pension contribution, • Learning and development budget, • Modern equipment and tools, • Clear progression opportunities into Lead and Principal Engineering roles, • Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy.

AI Engineer Location: London (Hybrid - 2-3 days per week onsite) Salary: £80,000 - £120,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance. We are currently supporting a high-growth organisation seeking an experienced AI Engineer to join their expanding AI function and help build next-generation intelligent products and services. The Opportunity This is an exciting opportunity for an AI Engineer who enjoys solving complex problems and building production-ready AI solutions that deliver measurable business value. Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice technologies and advanced data-driven applications. Key Responsibilities • Design, develop and deploy AI and Machine Learning solutions into production environments, • Build and optimise Generative AI applications using Large Language Models (LLMs), • Develop Retrieval Augmented Generation (RAG) architectures and AI agents, • Build speech-to-text, voice AI and accessibility-focused solutions, • Create intelligent chatbots, virtual assistants and conversational AI platforms, • Develop APIs and microservices to support AI applications, • Build scalable data pipelines for AI model training and inference, • Fine-tune, evaluate and optimise machine learning models, • Collaborate with software engineering teams to integrate AI capabilities into existing products, • Monitor model performance and implement continuous improvement processes, • Ensure AI solutions are secure, scalable and compliant with governance standards, • Participate in technical design sessions and contribute to architectural discussionsTechnical Skills RequiredArtificial Intelligence & Machine Learning, • Commercial experience developing Machine Learning solutions, • Experience working with Large Language Models (LLMs), • Knowledge of Generative AI technologies, • RAG (Retrieval Augmented Generation) implementation experience, • NLP and Conversational AI development, • Model training, testing and evaluation, • Prompt Engineering and AI workflow optimisationProgramming & Frameworks, • Strong Python development skills, • PyTorch, • TensorFlow, • Scikit-Learn, • LangChain, • LangGraph, • Hugging Face, • FastAPI, • REST APIsData Technologies, • SQL, • NoSQL Databases, • Data Modelling, • ETL Development, • Data Pipeline Engineering, • Vector Databases such as Pinecone, Weaviate or ChromaDBCloud & DevOps Experience with at least one major cloud platform: • AWS (preferred), • Bedrock, • SageMaker, • Lambda, • ECS / EKS, • S3 Or experience within: • Microsoft Azure, • Google Cloud Platform (GCP) Additional experience with: • Docker, • Kubernetes, • Git, • CI/CD Pipelines, • Terraform (desirable)What We're Looking For, • Strong software engineering foundations, • Passion for AI and emerging technologies, • Experience delivering solutions in production environments, • Ability to work collaboratively across engineering and business teams, • Strong problem-solving and analytical skills, • Excellent communication skills, • Desire to learn and stay ahead of rapidly evolving AI technologiesDesirable Experience, • Voice AI solutions, • Speech Recognition technologies, • Accessibility-focused AI applications, • Agentic AI systems, • Multi-modal AI platforms, • MLOps and model monitoring, • Real-time AI inference systems, • Enterprise AI deploymentsEducation & Experience, • Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering or related discipline, • Equivalent commercial experience considered, • Typically 3+ years of software engineering experience with exposure to AI, Machine Learning or Data Science projectsWhat's On Offer?, • Salary between £80,000 - £120,000, • Hybrid working model, • Exposure to cutting-edge AI technologies, • Opportunity to work on enterprise-scale AI initiatives, • Clear progression into Senior AI Engineer or AI Technical Lead roles, • Collaborative and innovative engineering culture, • Significant investment in AI and emerging technology If you're passionate about Generative AI, Machine Learning, Voice AI, Agentic Systems and building technology that genuinely transforms businesses, we'd love to hear from you.

Senior Software Engineer Location: UK Remote / Hybrid Salary: up to £80,000 ABOUT THE COMPANY Financial Times' fastest-growing software company in Europe, this is an AI and automation platform — used by thousands of people, every single working day. Founded in 2020, they've grown to 90 people and were voted one of The Sunday Times' Best Places to Work. They're not slowing down. The engineering team is small enough that your decisions matter, large enough that you're not doing it alone. THE ROLE This is a senior, hands-on engineering role — not a stepping stone to management, though it can be if that's where you want to go. You'll own complex technical work end-to-end, shape architecture and engineering standards, and raise the quality of the team around you. The platform is genuinely interesting: Python backend services, Svelte and jQuery frontend, AWS infrastructure, Chrome and email extensions, CRM integrations, and OpenAI-powered automation workflows. You'll work across it. Impact here is measured by the quality of the whole team's output, not just your own. If that sounds like a burden, this probably isn't the right role. If it sounds like the interesting part, read on. WHAT YOU'LL BE DOING • Owning the delivery of complex features and systems, end-to-end, • Breaking ambiguous product problems into scalable technical solutions, • Making architectural and implementation decisions across the engineering stream, • Writing maintainable, predictable, scalable code (and expecting the same from others), • Conducting code reviews that improve both the code and the engineer who wrote it, • Mentoring junior engineers on implementation, design patterns, and engineering practice, • Identifying and resolving systemic technical issues, not just isolated bugs, • Improving deployment reliability, monitoring, and observability, • Communicating trade-offs and risks clearly — to engineers and non-engineers alike, • Participating in and leading production incident response where needed WHAT THEY'RE LOOKING FOR Essential: • Strong professional experience with Python backend development, • Solid understanding of APIs, distributed systems, and scalable application design, • Experience working across complex, multi-surface product ecosystems, • The ability to mentor and elevate engineers around you, • Clear, proactive communication — especially when things are uncertain Beneficial (not required): • Frontend experience with Svelte and/or jQuery, • AWS cloud infrastructure, • OpenAI APIs or LLM-powered application development, • Browser or email extension development, • CRM integrations, • Observability and operational tooling WHAT GOOD LOOKS LIKE HERE Over time, senior engineers at this company become trusted owners of complex systems, lead technical initiatives involving multiple engineers, and raise standards across their stream through mentoring and technical leadership. The role can grow towards Principal Engineer, Systems Architect, or stream-level technical leadership — depending on where your strengths take you. BENEFITS • 25 days annual leave plus public holidays, • MacBook and any additional tech or software you need, • Flexible working arrangements, • Private Health, Dental, and Vision Insurance through Aviva, • Income Protection Insurance, • Extended mental health cover and Employee Assistance Programme, • Compassionate leave policy, • Private pension contributions (Royal London), • Monthly company social events, • Regular in-person hackathons If this sounds like the right next move, apply below.

Frontend ASIC Design EngineerLondon, Hybrid Working (2 Days Per Week On Site Near Fenchurch Street Station) £70,000 - £90,000 + BenefitsExcellent opportunity for a Frontend Digital Design Engineer to join a specialist semiconductor company working on innovative memory technology and advanced chip development.This company are building exciting next-generation semiconductor solutions in a highly technical market. They offer a modern working environment, strong technical leadership, and the chance to contribute to genuinely innovative products.In this role you will focus on frontend digital design, system-level development and verification activities across complex semiconductor products. You will work with multidisciplinary engineering teams from concept through to implementation.The ideal candidate will have strong experience in frontend digital design, RTL or system-level design, along with design verification experience. Candidates with IC design exposure and strong EDA tool knowledge will be well suited.This is a fantastic opportunity for an experienced digital engineer looking to work on complex designs, broaden their technical exposure, and join a growing specialist business.The Role: • Frontend digital design for semiconductor products, • System-level architecture and RTL development, • Design verification, simulation and debugging, • Collaborate with analogue, layout and device teams, • Support product development through implementation stages The Person: • Strong frontend digital design experience, • Experience with design verification methodologies and tools, • Familiar with EDA tool flows, • Synopsys experience highly desirable, • IC design experience beneficial Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

AI Engineer, Python, London, COR7586 Are you an AI-focused engineer who enjoys building real, production-grade systems rather than experimental prototypes? Do you want to work at the cutting edge of LLM-powered products in a fast-moving environment? This could be the role for you! The Role As an AI Engineer, you’ll be responsible for developing and scaling intelligent AI-driven features within a high-growth product environment. You’ll work across backend systems to design and implement agent-based capabilities, enabling users to interact with complex data in powerful new ways. This role sits within the engineering team, with a strong focus on building reliable, scalable AI features that combine large language models with rich proprietary and external data sources. The Company Our client is a fast-scaling product company building advanced data-driven tools. They operate in a fast moving engineering culture where rapid iteration, strong ownership, and technical excellence are core values. The AI Engineer role is based in London. What's Required? The ideal candidate for the AI Engineer role will have the following: Strong Python development experience, ideally using modern backend frameworks Hands-on experience working with large language models and related techniques such as prompting, retrieval-augmented generation, or tool use Understanding of agent-based AI systems and orchestration approaches Good SQL skills and experience working with structured and complex datasets Familiarity with embedding-based search or vector database technologies Exposure to machine learning concepts beyond LLMs A proactive approach to experimenting with new AI tools and frameworks Apply now to play a key role in building next-generation AI capabilities within a high-performing engineering team. AI Engineer, Python, London, COR7586 Corriculo Ltd acts as an employment agency and an employment business. #AS #ChannelA

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

Product Design Engineer (AI-Native Products)Remote working | Candidates must be UK based | Typical working pattern will be approx. 11am-8pm UK time. We're partnering with a global technology organisation to hire a Product Design Engineer who can design and build next-generation AI-powered employee experiences. This is a unique opportunity to work at the intersection of Product Design, Front-End Engineering and Artificial Intelligence, helping shape the future of how employees interact with AI-powered tools. You'll join a highly innovative team focused on defining new interaction patterns, workflows and design systems for AI-native products. This is not a traditional UX or graphic design role. We're looking for someone who designs experiences and then brings them to life through code, working directly alongside engineers to prototype, test and deliver production-ready solutions. What You'll Be Doing: • Designing and building AI-native product experiences for internal employee-facing platforms, • Creating new interaction patterns for conversational, agentic and AI-assisted workflows, • Defining design systems, reusable components and best practices for AI-powered products, • Working directly in code to prototype and refine user experiences, • Partnering closely with Product Managers, Engineers and AI specialists to shape product direction, • Designing for emerging AI challenges including uncertainty, latency, trust and multi-step interactions, • Conducting user research and usability testing to continuously improve experiences, • Contributing to the long-term design language and roadmap for AI-enabled products What We're Looking For: • Experience in Product Design, Design Engineering, Front-End Engineering or a hybrid Design/Development role, • Expert-level Figma skills, including experience creating and maintaining component libraries and design systems, • Strong React, HTML and CSS experience, • Comfortable working directly within a codebase and collaborating with engineering teams, • Demonstrable experience designing AI-native products, conversational interfaces or LLM-powered applications, • Understanding of AI interaction patterns, prompt workflows, agentic systems and user experiences built around large language models, • Experience working with tools such as Claude, OpenAI, Gemini or similar AI platforms, • Strong portfolio, showcasing both design work and working prototypes/products, • Experience designing enterprise applications, internal tools or complex digital products Particularly Interested In: • AI product designers who can code, • Design engineers building AI-powered experiences, • Front-end engineers with exceptional product design capability, • Individuals experimenting with AI products through personal projects, startups or side ventures, • Candidates who can demonstrate both design thinking and technical execution Portfolio submission is mandatory and should include examples of AI-related work, prototypes or products If you're excited by designing entirely new AI interaction models rather than traditional screen-based experiences, we'd love to hear from you. Please only apply if you can demonstrate AI product design experience and provide a portfolio, showing both design work and prototypes/code. Traditional UX, Graphic Design or Product Management backgrounds, without hands-on AI product design experience are unlikely to be considered for this opportunity.