Ai engineer jobs in London - Page 15Create job alerts

Senior Software Engineer - AI SaaS Platform London (Hybrid - 2 days onsite) £90,000 - £110,000 + bonus + benefits A high-growth B2B generative AI scale-up based in central London is looking for a Senior Software Engineer to help build the next generation of its AI-powered SaaS platform. Working within a fast-moving product engineering team, you will play a key role in designing and delivering new features that enhance how customers interact with AI-driven software. This is a product-led environment where engineers collaborate closely with product managers and designers to ship high-impact features and continuously improve the platform. This role would suit an experienced engineer who enjoys building scalable systems, working across the full stack, and contributing to a product used by real customers. Key Responsibilities Design and deliver scalable features within a modern SaaS platform Build reliable backend services and customer-facing functionality Work closely with Product Managers and Designers to refine requirements and deliver solutions Contribute to system design, architecture discussions and engineering best practices Support the reliability and scalability of live production systems Required Experience Strong TypeScript / Node.js development experience Experience building full-stack applications (React / Next.js) Experience delivering cloud-based products in AWS, GCP or Azure Infrastructure knowledge such as Terraform, Docker, Kubernetes or CI/CD pipelines Experience working in startup or scale-up environments A product mindset with strong collaboration across engineering, product and design teams Nice to Have Experience using Python within product development Exposure to AI / LLM-driven products Experience with microservices architectures What’s on Offer £90,000 – £110,000 base salary Bonus scheme Hybrid working (2 days per week in London) Flexible working hours Private healthcare & pension Strong progression opportunities within a high-growth AI scale-up The opportunity to work on cutting-edge AI products used by global customers If you are a Senior Software Engineer looking to work on impactful AI-driven products in a fast-growing scale-up, apply now for more information

Senior Full-Stack Engineer / Software Developer / JavaScript Engineer (Node.js / React / Next.js – AWS Serverless) London (Hybrid – Farringdon Tues/Weds/Thurs) £85k–£90k + Bonus + Excellent Benefits Discretionary bonus (10%), Private Healthcare, 25 Days holiday, 5% pension, Life Insurance, 2 Volunteering days a year, Season Ticket Loan Do you love solving complex problems and building products real people rely on every day? This well-established company has spent 25 years helping some of the world’s most iconic music and media brands tell their stories. With a team of 140 and a deep commitment to craftsmanship, they create stable, high-quality products that professionals actually depend on. We’re particularly interested in engineers who enjoy owning both the frontend experience and the Node.js APIs behind it. You’re a thoughtful, solutions-driven engineer who cares about architecture, performance, scalability, and long-term product impact. You don’t just close tickets, you take ownership, think systemically, and write clean, maintainable code across the entire stack. Collaboration is second nature. You enjoy pairing, knowledge sharing, and healthy technical debate, plus you’re curious about tooling, infrastructure, and how AI can enhance your workflow. The Role: You’ll join a small, cross-functional team spanning product, design, research, engineering, and operations. It’s a flat structure built on shared ownership and trust, with real influence over what gets built and how. You’ll work across the full stack, building polished frontend experiences while also designing and developing Node.js APIs and backend services that power them. Key areas of work include: • Building modern frontend applications with React and Next.js, • Designing and developing Node.js APIs, • Creating scalable backend services within AWS serverless architecture, • Solving complex workflow and discovery challenges, • Improving performance, reliability, and system scalability, • Collaborating closely with product, design, and research teams What Success Looks Like: Within your first 6–12 months, you will have: • Delivered production-ready Node.js APIs supporting key product workflows, • Shipped high-quality React / Next.js features used by customers every day, • Contributed to architecture decisions across frontend and backend services, • Improved performance and reliability of key product areas, • Helped shape engineering practices around code quality, testing, and maintainability Tech Stack: • TypeScript / JavaScript, • Node.js (API development), • React, Next.js, • AWS Serverless (Lambda, API Gateway), • Vercel, • SQL Server, • Algolia, • CI/CD (TeamCity) You Might Be a Good Fit If: • You’re a JavaScript / TypeScript engineer who enjoys working across the full stack, • You have experience building Node.js APIs or backend services, • You enjoy building clean, performant React / Next.js applications, • You care about architecture, maintainability, and product quality, • You enjoy collaborating closely with design, product, and engineering teams What You’ll Find: • A thoughtful, craft-led engineering culture, • Time to make sound architectural decisions, • Close collaboration with product and design, • Genuine ownership and accountability, • A stable, commercially established business delivering real impact in music and media This isn’t “move fast and break things.” It’s about building well, sustainably, and responsibly while solving complex, meaningful technical problems. If you’re a Senior JavaScript engineer who enjoys building both great user experiences and the APIs behind them, apply now or contact Simon Morris at Ithika Recruitment for a detailed discussion. Ithika Recruitment — partnering world-class talent with world-class companies

Founding Engineer (EnergyTech / AI) London | Hybrid (3 days onsite) | £70k-£120k + Equity A venture-backed EnergyTech start-up is building a new type of power company designed for the electrified future. As renewable energy adoption accelerates, the challenge is no longer just generating power, but storing, managing, and intelligently dispatching it. This team is developing software that sits at the centre of that transition, enabling a new generation of energy suppliers built around flexibility, storage, and intelligent automation. Backed by leading investors and founded by operators with experience from some of the most respected names in the European energy ecosystem, the business has already launched its first product and is growing rapidly month-on-month. The next phase is building the core technology platform that will power a fully integrated energy supplier launching later this year. This is an opportunity to join a small, highly capable engineering team building core infrastructure for a next-generation energy platform. The Role You will work across the full product stack, helping design and build the systems that power both the customer experience and the operational backbone of the platform. Engineers here take ownership of problems end-to-end, from shaping early ideas through to delivering production features used by customers. Responsibilities include: Building full-stack product features across web, backend services and data systems Designing APIs and integrating with hardware and energy data platforms Developing AI-enabled capabilities, including LLM-powered workflows and operational tooling Contributing to core supplier infrastructure such as billing systems, operational tooling, and internal platforms Working closely with founders and customers to shape the product direction Tech Stack Frontend: React, React Native, TypeScript Backend: Python, FastAPI, PostgreSQL Infrastructure: GCP, Terraform, Airflow AI: LLM integrations and AI-driven automation What They're Looking For Experience as a Full-Stack Engineer building production systems Strong engineering fundamentals and the ability to work across backend and frontend systems Comfort operating in a fast-moving start-up environment where priorities evolve quickly A proactive mindset with a bias towards ownership and solutions Interest in the energy transition or climate technology is a strong plus Engineers who thrive here tend to enjoy working close to the problem, communicating clearly across technical and non-technical teams, and taking initiative rather than waiting for direction. Package £70k-£120k salary depending on experience Meaningful equity Private health insurance Meal allowance and team dinners Hybrid working (London office 3 days per week)

Senior Machine Learning Engineer Cambridge to £90k Do you have experience of solving real-world problems via Machine Learning techniques? You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. As a Senior Machine Learning Engineer you'll build the ML capabilities that power the product, typically you'll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating and integrating established methods or developing your own algorithms, ensuring reliability and maintainability within a complex, integrated codebase. You'll liaise with clients to understand engineering problems that the product can address and guide them through new ways of working as well as diagnosing complex issues to analyse if it's a data quality issue, unexpected model behaviour, a configuration problem or a genuine bug. You'll be at the intersection of shaping product direction, balancing what ML researchers envision with what customers actually need and what is realistic to build and maintain in production. Location / WFH: You'll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time. About you: You have strong theoretical and practical understanding of the foundations of Machine Learning with experience of applying these to solve real-world problems You have strong Python skills, including TensorFlow and PyTorch ML frameworks You enjoy solving complex problems proactively but know when to ask for help from domain experts, researchers and engineers You have strong foundations in probabilistic modelling (Gaussian processes, Bayesian methods, uncertainty quantification) You're a confident communicator, comfortable liaising with clients What's in it for you: Competitive salary - to £90k Private Health Care Life Assurance Up to 6% employer pension contribution 25 days holiday Apply now to find out more about this Senior Machine Learning Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values. TPBN1_UKTJ

Google Cloud Consultant (Cloud / Data / AI) Location: London (Hybrid) Salary: £50,000 - £70,000 + benefits Type: Permanent 83zero are partnered with a leading technology consultancy that helps organisations modernise their digital platforms and unlock value through cloud, data, and AI technologies. Due to continued growth, they are looking for a Google Cloud Consultant to join their expanding cloud practice. This is an excellent opportunity for someone with hands-on GCP experience who is looking to develop their consulting career while working on large-scale cloud and data transformation projects. The Role As a Google Cloud Consultant, you will work closely with clients and internal teams to design and deliver solutions on Google Cloud Platform (GCP). You will contribute to cloud platform implementations, data solutions, and emerging AI capabilities while supporting senior consultants and architects on customer engagements. This role offers the opportunity to gain exposure to a variety of cloud transformation projects while developing both your technical and consulting skillset. Key Responsibilities Support the design and implementation of cloud solutions on Google Cloud Platform (GCP) Work with clients to understand technical requirements and contribute to solution design Help deliver cloud migration, platform modernisation, and cloud-native solutions Assist with the design and development of data platforms and analytics solutions Contribute to the implementation of AI or machine learning solutions where appropriate Develop and maintain infrastructure using Infrastructure-as-Code tools such as Terraform Support the creation of technical documentation including solution designs and implementation plans Collaborate with architects, engineers, and client stakeholders to ensure successful project delivery Follow best practices around security, governance, and cost optimisation (FinOps) Skills & Experience Essential Experience working with Google Cloud Platform (GCP) in a professional environment Exposure to GCP services such as Compute Engine, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, or Vertex AI Experience supporting the implementation of cloud infrastructure or data platforms Understanding of Infrastructure-as-Code, ideally using Terraform Strong problem-solving skills and the ability to work collaboratively within project teams Good communication skills and an interest in developing a client-facing consulting careerDesirable Experience with data engineering, analytics platforms, or machine learning technologies Exposure to cloud migration or modernisation programmes Knowledge of security or compliance practices within cloud environments Relevant certifications such as Google Associate Cloud Engineer or Professional Cloud Architect What They're Looking For The ideal candidate is someone who enjoys working with modern cloud technologies and wants to build a long-term career in cloud consulting. You'll be curious, technically capable, and comfortable working in collaborative project environments. This is a great opportunity to join a fast-growing consultancy where you will work on cutting-edge cloud, data, and AI projects while continuing to build your technical expertise

Senior DevOps / Cloud Infrastructure Engineer A fantastic opportunity for an experienced DevOps / Cloud Infrastructure Engineer to join a forward-thinking software company working at the cutting edge of AI-driven solutions. This is a high-impact, individual contributor role where you will take ownership of assessing infrastructure, identifying improvements, scoping large-scale projects, and driving these through to implementation. Location: Hybrid – London or Cambridge office 3 days a week (occasional travel between offices may be required) Salary: Negotiable annual salary + excellent benefits Requirements for Senior DevOps / Cloud Infrastructure Engineer: Extensive experience working in DevOps, Cloud Infrastructure, or Site Reliability roles Strong expertise in Kubernetes, Karpenter, Prometheus, and Terraform Strong preference for an excellent academic background (i.e. 2.1 or 1st class degree, AAB+ at A Level, etc.) Proven track record of delivering end-to-end infrastructure projects from design to implementation Excellent communication skills – ability to present proposals and solutions to senior leadership Self-starter who thrives in an individual contributor position Ability to quickly learn and adapt to new technologies Desirable experience: Cilium or similar service mesh Flux (or Argo as an alternative) Ansible Responsibilities for Senior DevOps / Cloud Infrastructure Engineer: Assess the current infrastructure setup, identify weaknesses, and propose improvements Work on large-scale, high-value infrastructure projects – designing and implementing robust, scalable solutions Collaborate with senior management to ensure infrastructure aligns with business goals Maintain and improve CI/CD pipelines and monitoring systems Drive best practices across infrastructure and cloud operations Provide technical expertise to ensure system reliability, security, and scalability What the role offers: The chance to lead impactful infrastructure projects with real autonomy Work in a fast-scaling AI software company at the forefront of technology innovation Competitive salary package plus excellent benefits Hybrid working with a choice of London or Cambridge base A culture that values technical expertise, ownership, and collaboration Applications: If you have top academics and would like to apply, we would love to hear from you. Please ensure when applying you include your degree classification/GPA or equivalent on your resume. Please send an up-to-date resume via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for engineers and scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal-opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Senior Google Cloud Consultant £80,000-£100,000 + London Hybrid + Excellent Benefits +Bonus London Hybrid | Technology Consultancy | Permanent A growing consultancy is expanding its cloud, data and AI capability and is looking for a commercially aware, client-facing Senior Google Cloud Consultant. You'll work across enterprise organisations delivering modern cloud platforms, data solutions and AI-driven transformation - with the autonomy to shape strategy as well as lead hands-on delivery. The Role You'll act as a senior technical advisor and delivery lead, helping clients modernise their cloud, data and AI ecosystems. Projects may include: Designing secure, scalable Google Cloud architectures Building modern data platforms (data lakes, warehouses, real-time analytics) Delivering AI/ML solutions using Vertex AI and related GCP services Cloud migrations and transformation roadmaps Implementing Infrastructure-as-Code with Terraform Embedding security, governance and FinOps best practice You'll be responsible for: Engaging senior stakeholders to shape cloud, data and AI strategy Producing high-level and low-level solution designs Leading delivery across complex, multi-workstream programmes Balancing transformation with live operational constraints Acting as a trusted advisor on innovation and best practice What You'll Bring Strong experience designing and delivering enterprise solutions on Google Cloud Platform Deep expertise in Cloud Infrastructure, Data Engineering, or AI/ML Hands-on experience with services such as Compute Engine, GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Vertex AI Proven ability to produce architectural documentation and migration strategies Strong stakeholder engagement and consulting capability Experience working in complex or regulated environments Highly Desirable: Google Cloud certifications (Professional Cloud Architect, Data Engineer, ML Engineer) - these are a major advantage Experience with data governance, security frameworks or compliance standards Package £80,000-£100,000 base (depending on experience) London hybrid working Performance-related bonus Private medical insurance Pension contribution Generous holiday allowance Funded training & certifications Clear progression pathway High-impact projects across cloud, data and AI Why Join? Consultancy environment with varied, enterprise-scale cloud and AI programmes Opportunity to influence strategy as well as lead delivery Strong technical community and access to senior leadership Modern, high-performance culture with real autonomy TPBN1_UKTJ

Trainee AI Technician – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Senior Machine Learning Engineer A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data. This role is highly engineering-focused, sitting between machine learning, infrastructure and deployment. You will work closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale. Location: 1 day per week in London - Shepherd's Bush (4 days remote) Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior / Principal Machine Learning Engineer: Strong relevant industry experience in machine learning engineering Strong Python and PyTorch experience Experience training machine learning models at scale Experience building and maintaining model deployment and inference pipelines Hands-on experience using Docker in production environments Strong Linux and Git skills Experience working in cloud environments (AWS, GCP or Azure all acceptable) Experience working with CI pipelines Proactive, self-sufficient and highly communicative working style Strong English written and verbal communication skills Educated to a minimum of Masters Level Responsibilities: Develop, train and deploy machine learning models into scalable production environments Support and improve large-scale model training and inference pipelines Collaborate closely with ML Scientists to productionise research models Work with engineering teams to ensure robust, secure and efficient deployment Contribute to code quality, documentation and best practices across the ML engineering function What the role offers: Work on impactful health-tech Exposure to large-scale, real-world machine learning systems A technically strong and collaborative engineering environment Hybrid working with a remote-first approach Clear cut career trajectory to becoming Head of Machine Learning Applications: If you would like to apply for this unique Machine Learning Engineering role, please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are readily available on our website. Keywords: Senior Machine Learning Engineer / Principal Machine Learning Engineer / ML Engineer / Applied Machine Learning Engineer / Computer Vision Engineer / AI Engineer / Research Engineer / Python / PyTorch / Linux / Docker / Cloud ML / CI Pipelines / Model Deployment / Inference Pipelines RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Position: Forward Deployed Engineer (B2) Location: London, UK (Hybrid) Permanent position Job Requirements • Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc., • Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs, • Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP, • Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.), • Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack., • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience, • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike, • 5+ years of engineering and technical deployment experience in a customer-facing set up, • Should scoped and delivered complex systems in rapid and ambiguous environments, • Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks, • Understand how AI model behaviour affects product experience, • Communicate clearly with engineers, product teams, and customer stakeholders, • Flag risks early and seek attention as per the severity Key responsibilities: • Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed, • Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams, • Own technical delivery across multiple deployments from prototype to stable release, • Build bespoke AI and transformative agentic AI solutions, • Technical debugging and root cause analysis, • Rapid prototyping, • Implement and administer best practices

Chief Engineer Looking for a senior individual who has experience in leading and building 1st class development / engineer teams and is still very technical and hands on! Experience in the following is expected Hands on technical expertise across application landscape Building out engineering platform teams Experience on insourcing technical expertise from a predominantly outsourced environment Experience in Financial Services, ideally Wealth Management Experience across the Application landscape including back office , middle office and front office systems including CRM Experience in large scale intricate application packaging Re-factoring code bases Moving Legacy applications to modern SaaS platforms Experience in automation and building AI practices in an engineering setting This is a senior role reporting into a visionary CTO who wants to deliver rapid change, so experience in fats paced environment is ideal. Hybrid role 1 / 2 days a week in the office...

Job Title: Platform Operations Engineer Department: AI Lab - Platform Operations Team Location: Remote Employment Type: Full-time, Permanent Overview We are actively looking to secure multiple Platform Operations Engineers to join Experis, part of the ManpowerGroup - a global organisation with over $20?billion in annual revenue and more than 1,000 consultants on assignment across 20 clients worldwide. Experis UK is in an exciting growth phase, with ambitious expansion plans and deep partnerships across multiple industries. Our model is personal and career-focused: we invest in our consultants through continuous training, technology exposure, and collaborative development. About the Role IBM's AI Lab is building next-generation AI platforms and services. To support this mission, we're growing our Platform Operations Team, responsible for the cloud infrastructure that powers our AI services. As a Platform Operations Engineer, you'll work across AWS, Kubernetes, and internal automation tools to ensure the platform runs smoothly, securely, and efficiently. This role suits someone who enjoys working at the intersection of software development and operations - writing code, automating infrastructure, and supporting high-performance machine learning environments. Key Responsibilities Deploy, manage, and monitor applications on AWS EKS (Kubernetes) Build and maintain Helm charts, manifests, and ArgoCD configurations Contribute Python code for internal tooling, automation, and services Manage CI/CD pipelines (e.g. Concourse, GitLab CI) Troubleshoot issues in networking, permissions, and application performance Work with development teams to streamline deployment and scaling of AI systems Maintain secure cloud environments through thoughtful IAM and Terraform configurations Essential Skills and Experience Strong hands-on experience with Kubernetes (deployment, debugging, Helm) Intermediate to advanced Python development skills Familiarity with CI/CD pipelines, especially writing and debugging them Solid understanding of AWS services (EKS, IAM, S3) Confident with Linux-based environments and containerization (Docker) Ideal (Bonus) Skills Experience with Helm, ArgoCD, and GitOps workflows Practical knowledge of Terraform for infrastructure-as-code Understanding of Kubernetes networking, ingress management, and certificate handling Exposure to OAuth/OpenID, certificates, and authentication proxies

Tech Lead – Python / TypeScript / C# / React / Azure £650–£750 per day | Outside IR35 | 6 Month Contract | Remote (Occasional London Travel) I’m currently working with a leading financial services technology consultancy that is looking to bring in an experienced Tech Lead to support the delivery of modern software solutions within the pensions and investment space. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a small team of senior developers. The role offers the opportunity to work on complex platforms within a highly collaborative environment while helping shape modern engineering practices including AI-assisted and agentic development workflows. The role You will lead a team of four experienced engineers while remaining actively involved in the development process. Alongside technical leadership, you will play a key role in delivery coordination, Agile ceremonies, and stakeholder engagement. You will also act as a key technical contact within the project environment, helping unblock delivery challenges, guide engineering decisions and ensure high-quality solutions are delivered. Key responsibilities • Leading a team of four senior engineers within an Agile delivery environment • Remaining hands-on with full-stack development across Python, TypeScript, C#, React and Azure • Running Agile ceremonies including stand-ups, sprint planning and retrospectives • Managing day-to-day delivery, identifying and removing blockers • Acting as a key technical contact for stakeholders and clients • Driving modern development practices including AI-assisted and agentic engineering workflows • Supporting solution design and maintaining strong engineering standards Experience required • Proven experience operating as a Tech Lead or Senior/Lead Engineer • Strong hands-on development experience across modern full-stack technologies • Experience with Python, TypeScript, C#/.NET, React and Azure environments • Experience leading engineering teams within Agile delivery frameworks • Strong communication skills with the ability to engage confidently with stakeholders • A solutions-focused mindset with a strong focus on delivery and engineering quality Contract details • £650–£750 per day • Outside IR35 • Initial 6 month contract • Remote working with occasional travel to Central London • Immediate start available If this looks like something you’d be interested in, feel free to apply or reach out directly to discuss the opportunity further

Senior Safety Engineer - Autonomous & AI Systems Location: London (Hybrid - 3 days in office) Employment Type: Permanent, Full Time About the Company I'm working with a rapidly growing technology start-up developing safety solutions for autonomous and AI-driven systems. Their platform provides a critical "trust layer" that ensures autonomous platforms operate safely, predictably, and in compliance with regulatory frameworks across sectors including aerospace, robotics, and advanced mobility. With multiple projects secured and increasing demand, the company is expanding its engineering team and looking for talented engineers who want to work on real-world safety challenges in next-generation autonomous systems. This is an opportunity to join a fast-moving environment where your work will directly contribute to the safe deployment of advanced technologies. The Role As a Senior Safety Engineer, you will support the development and assurance of safety-critical systems used in autonomous and AI-enabled platforms. Working closely with systems, software, and machine learning teams, you will help integrate safety principles throughout the development lifecycle and contribute to the creation of robust safety cases and certification evidence. This role is ideal for someone who enjoys hands-on safety engineering work and wants to develop their expertise in emerging autonomous and AI safety frameworks within a growing technology company. Key Responsibilities Conduct safety analyses including HAZOP, FHA, FTA and FMECA for autonomous systems and components. * Support the development of safety requirements and safety cases for safety-critical systems. * Contribute to safety architectures and hazard mitigation strategies. * Assist in ensuring compliance with safety standards such as DO-178C, DO-254, ISO 26262, and IEC 61508. * Work closely with systems, software, hardware and ML teams to embed safety considerations throughout development. * Support safety reviews, internal audits, and certification activities. * Contribute to improving safety processes, tools and documentation as the company grows.Candidate Profile Degree in Systems Engineering, Safety Engineering, Aerospace Engineering, or a related discipline. * Experience working on safety-critical systems in industries such as aerospace, robotics, automotive, defence, or advanced mobility. * Practical experience performing safety analysis techniques such as FHA, FTA, HAZOP or FMEA/FMECA. * Familiarity with safety standards including DO-178C, DO-254, ISO 26262 or IEC 61508. * Understanding of safety considerations in autonomous or AI-enabled systems is advantageous. * Strong analytical and problem-solving skills. * Comfortable working in a collaborative, fast-paced engineering environment. * Strong communication skills and ability to work with multidisciplinary teams.Why Join? Work on Exciting Technology Contribute to the safety of next-generation autonomous and AI systems. Impact in a Growing Company Join a rapidly scaling start-up where your work will have real visibility and impact. Collaborative Engineering Culture Work alongside passionate engineers solving complex technical challenges. Hybrid Working 3 days per week in the London office. Competitive Benefits Salary sacrifice pension scheme, EV car scheme, cycle-to-work scheme and more.If you're interested in working on safety-critical autonomous systems in an innovative environment, I'd love to hear from you. Contact Coral at DCS Engineering: DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Your new company Working for a globally renowned financial organisation Your new role We're looking for a Senior Software/ Data Platform Engineer to help evolve a large‑scale financial data platform. The environment includes both long‑standing enterprise systems and modern AWS cloud services. The platform handles high‑volume structured data and supports internal systems and customer‑facing products. A big part of the role involves working with large SQL Server environments, so strong SQL skills are essential. You'll help modernise core systems, improve performance and reliability, and build scalable backend and data services. This role suits engineers who are comfortable working across legacy and modern architectures and who have strong experience designing and building reliable APIs and data services. What you'll need to succeed Great professional experience as a Senior Software/ Data Platform Engineer in financial services. Strong SQL Server expertise (queries, stored procedures, indexing, performance tuning) Experience with large relational datasets Backend development experience in Python or C# Some experience with designing API's Experience working in AWS environments Experience with complex enterprise or legacy systems Strong analytical and problem-solving skillsDesirable: You've modernising legacy systems Building data pipelines or ETL processes Using AI-assisted development tools Experience in financial or market data environments What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. 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 (url removed)

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting for a Mobile Refrigeration Engineer in the Hammersmith area. CBRE Global Workplace Solutions, leading global provider of integrated facilities and corporate real estate management, are recruiting a Refrigeration Engineer to join the team. Working closely with the technical supervisor within your region. As a CBRE Engineer, you will be a part of a team responsible for a site's equipment maintenance and Service. This job is part of the Engineering and Technical team. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems. What You'll Do: Troubleshoot, diagnose, and restore routine technical service and equipment. Address major network problems impacting multiple business locations, major network elements, or site outages. Verify all documentation is accurate and maintained. Maintain documentation of routine maintenance schedules, system configurations, applications, and technical reference materials. Participate in user acceptance training of system and application updates and enhancements. Create training documentation. Apply in-depth knowledge of standard principles and techniques/procedures to accomplish complex assignments and provide innovative solutions. Coach others and share in-depth knowledge of own job discipline and broad knowledge of several job disciplines within the function. Lead by example and model behaviours that are consistent with CBRE RISE values. Work to build consensus and convince others to reach an agreement. Impact a range of customer, operational, project or service activities within own team and other related teams. Work within broad guidelines and policies. Explain difficult or sensitive information. Work as part of a team in a region covering day to day and on-call. Skillset and Qualifications: High School Diploma, GED, or trade school diploma with 4-5 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Safe Handling certificate 2079 CAT-1 Meet the physical requirements of this role including stooping, standing, walking, climbing stairs/ladders, and the ability to lift/carry heavy loads of 50 lbs. or more. Ability to exercise judgment based on the analysis of multiple sources of information. Willingness to take a new perspective on existing solutions. In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. Organizational skills with an advanced inquisitive mindset. 5 Years qualification experience in the industry at Engineer or above Basic knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. About CBRE Global Workplace Solutions: Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting for a Mobile Refrigeration Engineer in the Hammersmith area. CBRE Global Workplace Solutions, leading global provider of integrated facilities and corporate real estate management, are recruiting a Refrigeration Engineer to join the team. Working closely with the technical supervisor within your region. As a CBRE Engineer, you will be a part of a team responsible for a site's equipment maintenance and Service. This job is part of the Engineering and Technical team. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems. What You'll Do: Troubleshoot, diagnose, and restore routine technical service and equipment. Address major network problems impacting multiple business locations, major network elements, or site outages. Verify all documentation is accurate and maintained. Maintain documentation of routine maintenance schedules, system configurations, applications, and technical reference materials. Participate in user acceptance training of system and application updates and enhancements. Create training documentation. Apply in-depth knowledge of standard principles and techniques/procedures to accomplish complex assignments and provide innovative solutions. Coach others and share in-depth knowledge of own job discipline and broad knowledge of several job disciplines within the function. Lead by example and model behaviours that are consistent with CBRE RISE values. Work to build consensus and convince others to reach an agreement. Impact a range of customer, operational, project or service activities within own team and other related teams. Work within broad guidelines and policies. Explain difficult or sensitive information. Work as part of a team in a region covering day to day and on-call. Skillset and Qualifications: High School Diploma, GED, or trade school diploma with 4-5 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Safe Handling certificate 2079 CAT-1 Meet the physical requirements of this role including stooping, standing, walking, climbing stairs/ladders, and the ability to lift/carry heavy loads of 50 lbs. or more. Ability to exercise judgment based on the analysis of multiple sources of information. Willingness to take a new perspective on existing solutions. In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. Organizational skills with an advanced inquisitive mindset. 5 Years qualification experience in the industry at Engineer or above Basic knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. About CBRE Global Workplace Solutions: Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process

Train online at your own pace and land your first AI Engineer role in 1-3 months. Trainee AI Engineer – No Experience Needed. Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.

Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website. AI Engineer (ChatGPT enterprise) - Central London - £650 p/d outside IR35. A leading Asset Management & Investment firm is seeking a highly technical AI Engineer for a

Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, obse

As a Cybersecurity Specialist, you will be responsible for bringing hands on experience with leading AI technologies and platforms, primarily AWS Bedrock, Azure OpenAI, Microsoft 365 and other foundation model providers, to help teams adopt these capabilities securely and effectively. Master profici

Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Trainee AI Engineer - No Experience Needed!. After com

We are seeking multiple AI Engineers to join a start-up focused on. You need demonstrable experience of deploying AI Agents. You need strong Python skills with a grounding in AI or ML.

We're hiring an AI Automation Engineer to join a small, highly technical AI team in financial services who are building a brand-new automation tool from the ground up. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website. Your

Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems. Contribute to architecture, engineering standards and AI product direction in partnership with the Head of AI. Integrate AI systems with policy, claims and CRM platforms through secur

We are seeking a Lead AI Engineer to design, develop and deliver advanced AI and Generative AI solutions within a large, complex enterprise environment. This role sits at the centre of the AI-driven technology function, shaping engineering strategy, building scalable AI applications and integrating

Through the application of automation, AI agents, and modern data engineering, the role will help shape how AI augments and transforms operational workflows across the organisation. A London-based financial services firm operating within the hedge fund and asset management space is seeking an Applie

We’re building AI assistants that live in the real world — answering calls, joining video rooms,. Interest in cutting-edge AI: RAG, Knowledge Graphs, Graphiti. Ready to build AI that actually works?.

AI Engineer with strong Python full-stack expertise. GenAI, Agentic AI and machine learning solutions. AI Engineer (Python Full-Stack).

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. We're hiring an experienced AI Platform Engineer to design, build an

Applied AI / Automation Engineer. Evolve the solution into a robust internal product with clear maintainability and scalability. Proven experience in automation engineering and applying AI in operational settings.

Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Shape engineering standards, patterns and tooling as pa

Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Trainee AI Engineer - No Experience Needed! Ready to l

We are seeking an AI Security Engineer to design, implement, and maintain security solutions that protect complex systems and sensitive data, with a strong focus on GenAI and AI/ML platforms. Job Title: AI Security Engineer (GenAI Focus). This position is well suited to security professionals who wa

Collaborate closely with engineers, product and research to design new AI features end to end. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace. Backed by leading investors and with a strong balance sheet, th

This role is hands-on and technical, offering exposure to large biological datasets, AI model development, and modern machine learning workflows, including work with LLMs and data-centric AI systems. You'll work closely with senior engineers, data scientists, and domain experts across biology and he

Train online at your own pace and land your first AI Engineer role in 1-3 months. Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Trainee AI Engineer – No Experience Needed.