Artificial Intelligence Jobs

• London
• On-site
• Entry level
• Permanent

Labelling and evaluating text, speech, image and video data to improve Alexa's performance, acting as a subject matter expert for ML data workflows. The role involves quality checks, root cause analysis, and suggesting process improvements while maintaining strict confidentiality. The team works on-site Monday to Friday in eight-hour shifts.

Alexa

• London
• Hybrid
• Senior
• Permanent

Customer-facing cloud architect role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and technical workshops, manage the technical relationship with customers, and create reference architectures and best practices across AI/ML, serverless, containers, analytics and security.

AWS

• London
• Hybrid
• £195,000 – £245,000 pa
• Senior

Conducts empirical research on AI's economic effects, building and extending the Anthropic Economic Index with regionally-specific analysis. Develops novel measurement methodologies using econometrics, machine learning, and structural estimation, and translates findings into policy recommendations while building relationships with academic, government, and industry partners.

Claude

• London
• Hybrid
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Hybrid
• Permanent

Builds virtual vehicle models using physics-based and data-driven techniques, validating them against on-road data and converting them into efficient software components. Runs track and partner experiments to improve model accuracy, and integrates models into simulation, hardware-in-the-loop and correlation pipelines across robotics and product teams.

Dymola · CarSim · CarMaker

• London
• £36,000 – £38,000 pa
• Entry level

Support senior researchers on AI projects, handling data collection, algorithm development, experimental design and analysis, and contributing to reports and publications. Includes a structured 3-month training and induction programme with mentorship, aimed at recent graduates with Python, PyTorch or TensorFlow, NumPy, Pandas and Git exposure.

PyTorch · TensorFlow · NumPy +3

• London
• On-site
• Mid-level
• Permanent

Develops novel safety mitigations for frontier AI models, applying techniques from interpretability, control and alignment to keep deployed systems safe. Builds and refines risk evaluations, designs red-teaming pipelines, and sets research directions while partnering with experts in misalignment, cybersecurity and biology.

• Oxford
• Hybrid · 3 days in office
• £39,424 – £47,779 pa
• Entry level
• Contract

Deliver AI safety research for the ARIADNE consortium, a Wellcome-funded generative AI system conducting clinical interviews to assess psychosis risk. Develop LLM supervisor modules that detect delusional reinforcement and inappropriate responses to suicidal symptoms, evaluating them in controlled testbeds with simulated patients and LLM-as-judge scoring calibrated against clinicians.

PyTorch · LLM APIs · Google DeepMind

• Bedford
• Hybrid
• £38,655 – £46,492 pa
• Mid-level
• Contract

Integrates four strands of AI research into a single flight-deck assistant and validates it with airline pilots in Cranfield's Future Systems Simulator. Builds the software platform and automated test framework for real-time operation, creates flight scenarios, runs simulator trials and publishes findings within an EU Horizon Europe project.

Unity

• London
• Remote
• Lead
• Contract

Deliver technical AI content across AI for Business Value and AI-Powered Productivity apprenticeship programmes, facilitating workshops and drop-in sessions. Moderate assignments, provide feedback, and coach apprentices on applying AI to business problems, working within a diverse delivery team of industry experts and educators.

Microsoft 365 Copilot · Gemini for Google Workspace · Microsoft Copilot Studio +3

• London
• Hybrid
• Senior
• Permanent

Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.

Metaview

• London
• Hybrid
• Permanent

Develops, tunes and validates trajectory-generation and motion-control algorithms that turn the AI Driver's outputs into safe, smooth vehicle motion across multiple platforms. Owns production-quality, latency-sensitive C++ control software through the full lifecycle, using simulation, closed-loop evaluation and on-road testing to characterise controller behaviour and track comfort, tracking-error and safety KPIs.

CAN

• Barcelona, Spain

Design, train and deploy reinforcement-learning controllers for robots operating in complex, unstructured real-world environments, owning the full pipeline from physics-based simulation to hardware deployment. Work spans sim-to-real transfer, domain randomisation, vision-based perception and sensor fusion, combining learned policies with classical control under tight hardware constraints.

MuJoCo · Isaac Gym · Isaac Lab +5

• London
• Lead

Hands-on principal engineer joining a small senior team tackling the hardest technical problems in public sector AI engagements. Shapes technical approach with clients, builds rapid prototypes spanning AI agents, RAG and evaluation pipelines, defines reusable architecture, and mentors engineers across a young organisation.

AWS · GCP · Azure

• Belfast
• Hybrid
• £25,500 pa
• Junior

A two-year academy programme for career changers with no prior experience or degree, combining full-time hybrid training with client project work. Trainees cover Agile, SQL, APIs, Python, testing, data science and AI/ML, then work as an AI Engineer and Software Quality Engineer on real client projects.

NumPy · Pandas · PyTest +4