Artificial Intelligence Jobs

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and scale a customer-facing Applied AI Engineering team focused on early-stage and high-growth startups, coaching engineers through first production deployments, competitive evaluations and migrations. Balances team leadership with hands-on technical strategy across APIs, AI/ML systems and deployment, partnering with Sales, Product and Research to build repeatable playbooks and reference architectures.

OpenAI

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and scale a team of Applied AI Engineers partnering with high-growth startups to move them from experimentation to production on OpenAI's platform. The role blends people leadership, hands-on technical depth, and cross-functional work with Sales, Product, and Research, defining repeatable deployment playbooks and reference architectures for a fast-moving customer segment.

OpenAI

• 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

• United Kingdom
• Remote
• Senior
• Freelance · Flexible

Finance experts design and evaluate complex financial scenarios—valuation, forecasting, risk assessment and equity research—to test and improve generative AI models, giving detailed feedback on outputs for market relevance and compliance. Fellows may co-author research publications with Scale's team and work flexible 10–40 hour weeks within an interdisciplinary network.

• London
• Hybrid · 3 days in office
• Lead

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Guides development of an AI predictive toxicology platform with ML researchers and manages CRO relationships, as all wet-lab work is outsourced.

AI/ML

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setup requiring three office days a week.

Kubernetes · Google Cloud Platform · GCP

• Cambridge
• On-site
• £40,000 – £70,000 pa
• Mid-level
• Permanent

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

• London

Embed with strategic enterprise customers to design, architect and productionise custom fullstack data and AI applications on the Databricks platform. Work spans data engineering, ML/AI model integration, backend, frontend and stakeholder engagement, with accelerators fed back into the product roadmap. Requires up to 50% travel to client sites.

Databricks · OpenAI · Anthropic +7

• London
• Senior

Owns the end-to-end technical strategy for customer accounts, leading architecture discussions and designing scalable data engineering, ML/AI and real-time analytics solutions on the Databricks platform. Acts as a trusted advisor to customer architects and engineering leads, driving platform adoption and competitive wins while developing a declared technical specialisation.

Databricks · AWS · Azure +7

• London
• Remote
• £265,000 – £375,000 pa
• Senior
• Temporary

Paid, fixed-term research residency of six weeks to six months for people transitioning into empirical AI safety work, with a scoped project and direct mentorship from Anthropic researchers. Residents get Claude model and GPU compute access and work on alignment, interpretability, scalable oversight, red-teaming or ML systems alongside research teams.

Kubernetes · LLMs · Claude +1

• London
• Hybrid
• Senior
• Permanent

Owns embedded software that connects an autonomous driving AI to vehicle platforms and onboard systems, spanning inference integration, vehicle data, navigation, localisation, odometry and motion control interfaces. Works in C++ on Linux/QNX across Nvidia and Qualcomm hardware, taking features from design through HIL and vehicle testing, and shaping architecture reused across vehicle programmes.

Nvidia · Qualcomm · Linux +3

• London
• Hybrid
• £375,000 – £640,000 pa
• Mid-level

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon scale, then turns validated findings into production training recipes. Builds long-horizon benchmarks and debugs failures that only surface at the research/infrastructure boundary, working closely with adjacent RL teams.

• London
• Hybrid
• Lead
• Permanent

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Metaview

• London
• Hybrid
• Lead
• Permanent

Owns and develops product and service design as a core discipline within the Applied AI division, delivering billable client engagements and anchoring project deliverables. Builds executive relationships with client leadership, defines skill and progression frameworks, and partners with business development to shape multidisciplinary teams. Balances strategic delivery with building an entrepreneurial design function.

Metaview

• London
• Remote
• £60,000 – £85,000 pa
• Permanent

Lead end-to-end technology procurement and sourcing for Central Government, Defence and National Security programmes, developing commercial strategies and managing competitive tenders and supplier evaluations. Provide commercial expertise across cloud, cyber, data and AI procurements, supporting governance, assurance and senior stakeholder engagement.

Cloud · Cyber · Data +3