Artificial Intelligence Jobs

Associate (National Security)

This role involves scoping, building, and delivering custom AI solutions for national security clients, translating complex operational needs into actionable technical requirements. You'll work closely with government stakeholders and technical teams to develop secure, trustworthy AI systems for high-stakes environments. The position emphasizes client collaboration, open-source analysis, and user-centric workflow design within an agile delivery framework.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Associate (Safety)

This role involves scoping, building, and delivering AI safety projects with a focus on frontier model evaluations and government collaboration. The Associate will translate complex operational needs into technical requirements, support red teaming and evaluation efforts, and help optimise AI tools for real-world use in high-stakes environments. Work is cross-functional, combining client engagement with technical delivery in national security and AI safety contexts.

Faculty London, United Kingdom

Permanent

AI Infrastructure Engineer, Serving Platform

Design and build scalable, fault-tolerant systems for serving large language models (LLMs) in both research and production environments. Develop internal platforms for LLM capability discovery and integration, with a focus on performance, observability, and system health. Collaborate closely with researchers and engineers to optimize model deployment and support cutting-edge AI applications.

Scale AI London, United Kingdom

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Staff Robotics Engineer, AV Core

As a Staff Robotics Engineer, you will lead the technical direction and delivery of fault detection and fallback systems for driverless vehicles. You will collaborate with machine learning experts, design robust systems, and integrate them into the shared driving stack, ensuring the overall robustness of the robot system.

Wayve London, United Kingdom

On-site Permanent

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Staff ML Engineer Gaia

As a Staff ML Engineer on the Gaia team, you will lead and execute large-scale training runs for video foundation models, contribute to model architecture and training strategies, and improve synthetic scenario generation capabilities. You will work closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact and provide technical leadership through mentorship and setting high engineering standards.

Wayve London, United Kingdom

Applied AI Engineer, Beneficial Deployments (Life Sciences)

This role involves serving as the primary technical advisor for life sciences partners, translating scientific workflows into impactful AI solutions using Claude. The candidate will design and lead cohort-based accelerators, develop scalable technical content, and bridge deployment challenges between partners and product teams to advance AI adoption in research and biotech.

Anthropic London, United Kingdom £165,000 – £190,000 pa

Forward Deployed Engineer

This role involves embedding with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop custom solutions like agent skills and MCP servers, provide on-site deployment support, and translate customer needs into technical implementations while maintaining safety and reliability standards. As a founding member of the Forward Deployed Engineering team, the role also shapes Anthropic’s customer deployment strategy and contributes insights back to product and engineering teams.

Anthropic London, United Kingdom £225,000 – £255,000 pa

Engineering Manager, Infrastructure

Lead a team building scalable, secure infrastructure to deploy AI applications in enterprise environments. Focus on production reliability, platform automation, and bridging AI research with real-world deployment. Work closely with product and security teams to improve developer velocity and operational excellence.

Scale AI London, United Kingdom

Hybrid Permanent Clearance Required

Senior/Principal Machine Learning Scientist (Generative Modelling)

Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Machine Learning Scientist (Single Cell)

Design and implement machine learning models tailored to single-cell and multiomic biological data to understand cellular responses to interventions. Collaborate closely with wet-lab scientists to translate biological questions into modelling problems and ensure models capture biologically meaningful insights. Contribute to research roadmap development and advance cellular modelling through interdisciplinary collaboration.

Relation Therapeutics London, United Kingdom

On-site Permanent

Insights Enablement Lead

The role involves transforming bespoke insight projects into scalable, repeatable solutions by designing frameworks, embedding automation and AI, and establishing delivery standards. It focuses on improving efficiency across teams through reusable templates, process optimisation, and cross-functional collaboration. The position plays a key role in advancing how customer insights are delivered at scale within a data-driven consultancy environment.

dunnhumby London, United Kingdom

Hybrid Permanent

AI & Data Enablement Lead

This role involves leading the strategic adoption and governance of AI across the organisation, focusing on delivering measurable business value through responsible AI practices. The individual will establish AI frameworks, drive cultural change, and act as a trusted advisor to business and technology stakeholders. Key responsibilities include developing AI architecture standards, guiding proof-of-concepts, and promoting AI literacy using platforms like Azure AI and Copilot.

Michael Page London, City And County Of the City Of London, United Kingdom £80,000 – £95,000 pa

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge AI research with practical engineering implementation. Work on geometric deep learning, graph neural networks, and diffusion models applied to biological systems. Collaborate closely with engineers to translate research into tools that accelerate scientific discovery in a well-funded life science technology environment.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa

Senior Machine Learning Engineer

This role involves designing, building, and deploying high-performance Machine Learning solutions, working across the full ML lifecycle from experimentation to production. You'll collaborate with engineering and AI teams to ensure robust MLOps practices and optimize model performance in production environments.

Data Idols London, United Kingdom £80,000 – £90,000 pa

Machine Learning Engineer

Design and optimize machine learning models for hardware acceleration on platforms such as GPUs and QPUs, focusing on low-latency distributed systems and simulation. Work independently within an established team to support international clients using cutting-edge technologies. The role involves algorithm development in C++, Python, or Rust, with a strong emphasis on performance and hardware integration.

Hexwired Recruitment Limited London, United Kingdom £80,000 – £120,000 pa