Artificial Intelligence Jobs

Wayve · London

Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compiler/runtime behaviour and kernel execution, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.

Wayve · London

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

OpenAI · London

Builds and operates shared multi-cloud compute platforms behind ChatGPT and the OpenAI API, spanning Kubernetes cluster lifecycle, upgrades, patching, capacity management, autoscaling and infrastructure automation. The role carries end-to-end production ownership, including on-call incident response, and focuses on reusable platform tooling across OCI, AWS and Azure rather than GPU optimization.

Causaly · London

Design and ship ML/AI solutions end-to-end, from data exploration to deployment and monitoring, choosing between classical ML, NLP, LLM and agentic approaches. Work closely with product, design and engineering on user-facing AI features, champion model and data quality, and mentor junior engineers in a biomedical knowledge platform team.

MOON RECRUITMENT · Rugby

Assists the commercial and operational teams in preparing accurate estimates, quotations and tender submissions for bespoke joinery projects, reviewing drawings and specifications and analysing material, labour and installation costs. Liaises with suppliers and subcontractors on pricing and uses AI-powered estimating software, with structured training and a route into a more senior commercial role.

Searchability · Hungerford · £65,000 – £70,000 pa

Hands-on role in a Cloud Operations team modernising multi-cloud infrastructure and building scalable automation. You'll design Terraform IaC modules, enhance CI/CD pipelines, and introduce AI-powered tooling such as LLM-assisted agents, while mentoring engineers and shaping engineering standards.

Searchability · Newcastle upon Tyne · £65,000 – £70,000 pa

Hands-on role in a Cloud Operations function, designing and delivering scalable infrastructure automation across a complex cloud estate. Focus on Terraform, Microsoft Azure and Infrastructure as Code, plus CI/CD pipelines and AI-powered automation such as LLM-assisted tooling and AI agents. Includes mentoring engineers and shaping an automation-first engineering culture.

University of Oxford · Oxford · £39,424 – £43,984 pa

Develops 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound, validating them on data from the neonatal intensive care unit. Works at the intersection of 3D computer vision, neural rendering and medical image analysis, including physics-informed rendering models for view-dependent acoustic appearance. Based in a multidisciplinary lab alongside deep learning researchers, software engineers and neonatologists.

MFK Recruitment · Brentford · £70,000 – £95,000 pa

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

Luminance · Cambridge

Designs and develops the core AI platform, building large-scale Python codebases and web-hosted services that power the company's software architecture. Works across the Python ecosystem, including Flask, Requests, NumPy and PyTorch, with scope to lead technical direction or teams. Open to graduates as well as experienced engineers.

Aioi Nissay Dowa Europe · Oxford · £81,322 – £112,488 pa

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.

Back TO Work · Derby · £26,500 pa

An apprenticeship supporting a manufacturing firm's IT and security team, monitoring production networks for unusual activity, responding to alerts, managing user access and updating security guidelines. The role blends cybersecurity with AI, using AI-powered tools for anomaly detection, automation and analytics dashboards, while learning to protect operational technology and connected factory devices.

167 Solutions · London · £150,000 – £170,000 pa

Lead a multidisciplinary Applied AI and Data Science team while staying hands-on with Python, reviewing models and prototyping solutions. The role spans agentic AI, RAG pipelines, NLP and LLMOps, with architecture work across AWS Bedrock, SageMaker and Lambda, plus driving AI-native engineering with tools like Claude Code and Copilot.

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.

eFinancialCareers · London · £90,000 – £120,000 pa

Hands-on technical leadership role owning AI solution design, architecture and delivery for large-scale, regulated environments, initially healthcare. Leads multidisciplinary engineering teams building production generative AI, LLM, RAG and agentic systems on Azure or AWS, while coaching engineers and managing client stakeholders.