Artificial Intelligence Jobs

• Enfield
• On-site
• Entry level
• Permanent · Shift work

A 48-month apprenticeship within Amazon's Reliability Maintenance Engineering team, supporting fault-finding and preventative maintenance on robotics, conveyors and sortation equipment. Apprentices combine hands-on work with study toward a Level 6 qualification, BSc in Controls and Automation Engineering and HNC/D, covering robotics, IoT sensors, predictive maintenance and Industry 4.0 technologies.

Conveyor Systems · Sortation Equipment · Autonomous Robots +4

• Gateshead
• On-site
• Entry level
• Permanent · Shift work

Hands-on apprenticeship within Amazon's Reliability Maintenance Engineering team, supporting fault-finding, diagnostics and preventative maintenance on robotics, conveyors and sortation equipment. Combines on-the-job training with study toward a Level 6 apprenticeship, BSc in Controls and Automation Engineering and HNC/D, covering industrial automation programming, IoT sensors, predictive maintenance and Industry 4.0 technologies.

Conveyor Systems · Sortation Equipment · Autonomous Robots +4

• London
• Hybrid
• £150,000 – £190,000 pa
• Senior

Pre-sales architect role building technical relationships with global and regional system integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.

AWS · GCP

• London

Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Involves production rollouts, serving as a trusted technical advisor, and collaborating with product and engineering to shape the roadmap.

Databricks · Apache Spark · HuggingFace +7

• Cambridge
• Hybrid
• Director · manages people

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures on Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

LangGraph · LangChain · Semantic Kernel +7

• United Kingdom
• Remote
• Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

Databricks · Mosaic AI · MLflow +7

• Cambridge
• Hybrid
• Director · manages people

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures across Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

LangGraph · LangChain · Semantic Kernel +7

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Partner directly with Digital Native customers to design, build and deploy AI-powered products, taking ideas from early experimentation through evaluation, production launch and scale. Hands-on coding in Python to build prototypes, evaluation harnesses, integrations and production accelerators, while making decisions across models, agents, retrieval, reliability, latency, cost, safety and governance.

OpenAI

• London
• Hybrid
• Lead
• Permanent

Drives technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. Leads capability testing for Frontier AI models, builds scalable ML infrastructure and multi-agent tooling, and advises senior client stakeholders while mentoring engineers.

AWS · Azure · GCP +4

• London
• Hybrid
• £165,000 – £190,000 pa
• Senior

Pre-sales architect role acting as a trusted technical advisor to large enterprises, helping them integrate and deploy Claude into their technology stacks. Involves technical discovery, designing scalable LLM architectures, building evaluation frameworks, and delivering content from engineering deep dives to executive conversations, working closely with Sales, Product and Engineering.

Claude · Claude API · Claude for Work

• Welwyn Garden City
• Hybrid · 2–3 days in office
• £700 – £850 pd
• Lead · manages people

Hands-on technical lead owning the AI function end to end, designing and building LLM-based agents, assistants and agentified dashboards over enterprise data. Sets reusable patterns and standards, works with Quality & Compliance on GxP validation, and mentors engineers while partnering with IT, security and data governance teams.

FastAPI · Pydantic · asyncio +7

• Sheffield
• £40,704 – £45,641 pa
• Permanent

Deliver tutorials and lab classes in AI and robotics, supporting students one-to-one and helping colleagues run practical sessions. Involves preparing robots, machines, software and data, with practical software development and current AI/robotics knowledge required. Joins a large School of Computing and Digital Technologies with a research-active Smart Interactive Technologies lab.

PlayStation

• London
• Hybrid
• Senior
• Permanent

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 with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.

Harness · Airflow · Dagster +7

• London
• Hybrid · 2–3 days in office

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Cambridge
• Hybrid · 2–3 days in office
• Mid-level

Own the infrastructure behind speech AI models: building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and automated data acquisition. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes · GPU +1