Artificial Intelligence Jobs

Capital One · Derby

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction-setting, stakeholder collaboration and mentoring, taking ideas from prototype through to production in a hybrid Nottingham-based team.

Capital One · Leicester

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, mentor junior team members and drive prototypes through to production in collaboration with business stakeholders.

Wayve · London

Lead a newly dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that let Wayve's onboard AI Driver run in real time. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

NVIDIA · Switzerland

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

PhysicsX · London

Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.

PhysicsX · London

Build and own the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model. Set technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments. Tune batching, caching, quantisation and parallelism, and make routing decisions observable and explainable.

Luminance · Cambridge

Owns the software development lifecycle that produces packaged releases of an enterprise legal AI platform for distribution to clients. Day to day involves keeping the lifecycle efficient, unblocking the tech team, and analysing the SDLC for weak points to build human or automation solutions improving efficiency, reliability and visibility.

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.

KO2 Embedded Recruitment Solutions · Butterrow · £55,000 – £65,000 pa

Designs and builds real-time embedded software in C and C++ for sensors and microelectronics, alongside ML pipelines, CI/CD, and live model monitoring. Develops generative AI and LLM systems including RAG and fine-tuning, plus Spark or dbt ETL pipelines and IoT data services. Works in a small team owning the full SDLC from clean-sheet design to tested, deployed code.

Ocado · Monroe, Ohio, 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.

Emponics · Newcastle upon Tyne · £70,000 – £80,000 pa

Senior technical lead in a shared-service AI and automation team, designing large-scale automation, Infrastructure as Code and domain-specific AI agents across Azure and OCI. Hands-on with Terraform/Bicep, CI/CD, scripting and LLM-assisted tooling, while mentoring engineers and driving AI-first, automation-first ways of working.

Harnham - Data and Analytics Recruitment · London · £70,000 – £80,000 pa

Build, scale and maintain backend services including APIs, workflow engines and data services, integrating Java/Spring components with Python-based AI services. Work across AWS cloud infrastructure, CI/CD pipelines, observability and security best practices in a collaborative, fast-paced product team.

Emponics · Hungerford · £70,000 – £80,000 pa

Senior technical lead in a shared-service AI and automation team, designing large-scale automation, Infrastructure as Code and domain-specific AI agents across Azure and OCI. Hands-on with Terraform/Bicep, CI/CD, scripting and LLM-assisted tooling, while mentoring engineers and driving AI-first, automation-first ways of working to improve resilience and recovery times.

Advancing People · Brussels, Belgium

Builds and maintains Python-based Intelligent Document Processing pipelines, focusing on AI-driven document understanding such as data extraction and classification. Works in a product team alongside AI, front-end and infrastructure engineers, using LLMs, Flask/Django/FastAPI and cloud infrastructure. Requires two days per week in the Brussels office.

Anthropic · London · £260,000 – £630,000 pa

Blends research and engineering to advance reinforcement learning for large language models, building agentic capabilities like computer use and autonomous code generation. Involves architecting distributed RL training infrastructure across GPU clusters, designing novel training environments and evaluations, and profiling and optimizing the stack. Works closely with alignment, red team, and production training groups.