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.

Reed · Cambridge

Lead statistical and bioinformatics analysis projects, developing computational algorithms and applying machine learning to functional genomics research. Work with NGS, OMICS and high-throughput datasets alongside laboratory scientists, using Python, R or Julia and libraries such as TensorFlow and PyTorch. The role also involves mentoring and cross-functional collaboration in a multidisciplinary research team.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications from heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

OpenAI · London

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.

Amazon · London

Acts as a trusted technical advisor to AGI-DS scientists, translating complex research objectives into actionable ML/GenAI data collection requirements. Coordinates across teams to ensure delivery, owns customer scientist relationships, and monitors collection health metrics. Involves guiding on workflow feasibility, annotation scalability, and data collection best practices.

Quantum Group · London · £42,000 – £45,000 pa

Analyse aged-receivables, debtor and payment data to identify credit and counterparty risk, estimate expected losses, and assess liquidity and cash-flow exposures. Build Python statistical models for default prediction, run stress tests, and develop Power BI dashboards tracking debtor days and collection rates. Maintain the risk register, prepare monthly leadership reports, and support audit and compliance work.

ECM Selection · Cambridge · £40,000 – £70,000 pa

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.

Salt Search · London · £70,000 – £100,000 pa

Build and scale a cloud-native AI platform for real-time video security, working across Go and Python backend services and React/TypeScript frontends. You'll design APIs and distributed systems handling real-time video and sensor data, collaborating closely with product and ML engineers and owning features from design to production.

Scale AI · London

Builds and scales backend systems and APIs that bring large-scale generative AI products to production for enterprise customers. Work spans distributed data systems, model serving, deployment pipelines, and cloud infrastructure across AWS, Azure, or GCP, in close collaboration with ML and product teams. The role centres on reliability, latency, throughput and cost optimisation in hybrid and multi-cloud environments.

Flarebright · Bicester · £39,000 – £49,000 pa

Contributes across the full development lifecycle, from concept and algorithm design to system integration, testing and troubleshooting of safety-critical navigation and autonomy software in C++. Works with a multidisciplinary team on real-time embedded systems, hardware/software-in-the-loop testing and flight test activities, producing design documentation and test reports.

Helical · London

Owns the full post-training lifecycle for biological foundation models, from alignment strategy to production deployment. Designs pipelines that adapt general-purpose models to therapeutic contexts, builds validation frameworks linking model improvements to biological ground truth, and runs experiments on distributed GPU infrastructure. Works closely with ML infrastructure and biology teams and contributes to open-source tooling.

Ocado · Forest Park, United States

Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at heights, and initial training travel.

Hyre Ai · London · £50,000 – £60,000 pa

Design and evolve production multi-agent systems using Anthropic, OpenAI and Perplexity models on AWS, extending the company's MCP server with new tools. Build the eval and observability layer with golden datasets, regression suites and LLM-as-judge, own AWS infrastructure (ECS Fargate, Lambda, Step Functions, Bedrock) and guard against prompt injection and PII leakage. Set technical direction and mentor engineers.

Ocado · Monroe, United States

Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role includes an initial 6-9 months of training, likely involving travel to another North American site, and works a shift pattern covering days and weekends.

OpenAI · London

You'll partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.