Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Aveni · United Kingdom

Hands-on full-stack role building and shipping production AI products that integrate LLMs, RAG and agentic workflows into financial services processes. You own features end-to-end across Node.js/TypeScript microservices, React frontends and AWS cloud infrastructure, with a focus on evaluation, observability, reliability and mentoring engineers.

Scale AI · London

Owns large enterprise AI projects end to end, from understanding customer pain points and defining requirements through development, testing and launch. Forward deploys with client teams to build bespoke GenAI applications on the Scale GenAI Platform, leading cross-functional groups and shaping product strategy with executives.

Aveni · United Kingdom

Builds and scales products on top of FinLLM and other LLMs, engineering event-driven microservices, APIs, cloud-native AWS systems and React front-ends that bring AI into real financial workflows. Works closely with product and PhD-level AI specialists, using Node.js, TypeScript, NestJS and AI coding assistants in a remote-first team.

Ocado · Kraków, Poland

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training through serving, monitoring and MLOps, while coaching others and shaping reusable platform building blocks.

Harnham - Data and Analytics Recruitment · London · £80,000 pa

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products at speed. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping systems in scalable APIs and contributing to shared data and entity platforms, with weekly demonstrable output.

Tenth Revolution Group · London · £95,000 – £125,000 pa

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Hybrid role in a consultancy, contributing reusable patterns to a wider architecture practice.

Harnham - Data and Analytics Recruitment · London · £100,000 – £140,000 pa

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable, production-deployed AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.

Faculty · London

Lead the development of novel safety evaluations quantifying AI risks in high-impact domains such as CBRN and Cyber, executing original technical research from concept to publication. Shape the R&D agenda, contribute to client delivery and red-teaming for frontier labs, and engage externally with the global research community. The role sits in a central R&D team focused on fundamental and applied technical AI safety research.

Opus Recruitment Solutions · United Kingdom · £80,000 – £90,000 pa

Designs enterprise-scale AI, data and automation solutions, architecting generative and agentic AI, RAG, vector database and multi-agent systems across OpenAI, Azure OpenAI, Anthropic and Google Gemini. Runs customer discovery and solution-design workshops, creates reference architectures and roadmaps, and supports technical pre-sales, governance and Responsible AI. Remote-first with client site visits.

Wayve · London

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL-based data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, with close collaboration across Product, Safety and Release stakeholders.

Signal AI · London

Full-stack engineer owning revenue-critical products end to end, from problem discovery with research, design and product through to production. Day to day involves building UIs and data visualisations, large-scale distributed services, AWS infrastructure and observability, with heavy pair programming and AI-assisted development using tools like Claude Code.

Amazon · London

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.

Isomorphic Labs · Cambridge, United States

Lead computational drug design programs from initiation through to clinical candidate selection, applying AI-first approaches and shaping the company's ML drug design engine. Work cross-functionally with ML, biology and chemistry teams, with optional people management of 2-3 computational chemists.

Amazon · London

You will act as a trusted technical advisor to AWS customers in the Betting & Gaming industry, leading architecture reviews, white-boarding sessions, demos and workshops while managing the overall technical relationship. The role blends business acumen with hands-on guidance across AI, serverless, containers, analytics and DevOps, and involves feeding customer needs back into AWS product roadmaps.

ElevenLabs · United Kingdom

Build and operate production-grade abuse detection and guardrail systems, focusing on free-tier abuse, fraud, and bot farming across a multimodal platform. Own the safety infrastructure end to end, from architecture and APIs to data pipelines, monitoring, and SLIs/SLOs, working with ML and full-stack engineers to move research models into production.