612 jobs for “Ai Engineer”
IT Career Switch Bolton £25,000 – £45,000 pa
A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a UK employer within 20 miles of their location.
IT Career Switch Birkenhead £25,000 – £45,000 pa
A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location.
ElevenLabs United Kingdom
Design, build and maintain open source SDKs, client and server libraries and an MCP server to drive developer adoption, while shaping the ElevenLabs API and developer tooling. Acts as "customer zero" for new developer products, jumping across languages and the stack, with scope to write technical content and speak at conferences.
PhysicsX London
Builds and owns the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model or combination. Sets technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments, GPU autoscaling, batching, caching and quantisation. Works with Research and Post-Training specialists to move tuned models into production routes.
PhysicsX Singapore
Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.
Faculty London
Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing technical advisory and mentoring junior engineers. Work spans scalable infrastructure, container orchestration and embedding best practices for deploying machine learning at scale.
Faculty Remote (UK)
Deliver bespoke, production-grade machine learning systems for defence clients, spanning the full ML lifecycle from architecture and scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, embedding ethical AI in high-stakes situations. Requires UK Security Clearance and 2-4 days per week on client sites.
Cohere United Kingdom
Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.
Anthropic London £225,000 – £255,000 pa
Embeds directly with strategic enterprise customers to build production AI applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. One of the founding forward-deployed engineers, travelling 25-50% to customer sites.
Anthropic London £325,000 – £485,000 pa
Owns the technical strategy and roadmap for agent-driven compute cluster lifecycle management, including provisioning, updates, decommissioning, and secure-by-default, high-bandwidth inter-cluster connectivity across major clouds and own datacenters. Sets direction for scalability, homogeneity, and fault tolerance while mentoring engineers and shaping long-term compute and infrastructure strategy with cloud providers and internal research, inference, and product teams.
Wayve London
Post-train and scale GAIA-family large video diffusion world models to generate multimodal synthetic driving data, running generation pipelines across tens of thousands of segments and optimising GPU inference. Sits between ML research and engineering, landing synthetic data into the same training stack as real driving data and measuring its impact on driving-model performance.
Databricks London
Customer-facing, billable engineering role embedding with clients to design, build and productionize end-to-end data and AI systems on the Databricks platform. You own architecture and design decisions across data engineering, ML/AI model integration and application development, working alongside project managers, architects and customer teams, with around 20% travel.
Databricks London
Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver big data and ML/AI projects, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and cloud expertise, with around 20% travel to customer sites.
Cortech Talent Solutions Glasgow £45,000 – £65,000 pa
Hands-on full stack role building and maintaining web applications and backend services for a digital platform, working across Python services and React/TypeScript interfaces. You report to the Head of Software in a small team, collaborating with front end developers and supporting the AI/ML and IoT systems the platform depends on, with work reaching production quickly.
Wayve London
Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.
