Artificial Intelligence Jobs

Wayve · London

Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.

Wayve · London

Owns the end-to-end release cycle for autonomous-driving AI models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

Luminance · Cambridge

Lead complex engineering projects across the full SDLC, mentor other application engineers, and collaborate with cross-functional teams to define technical requirements and system architecture. The role also involves driving best practices in coding, testing and maintenance, and becoming a subject matter expert in one or more areas of the technology stack.

CrowdStrike · Canada - Remote ON · CA$150,000 – CA$200,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, architecting large-scale core services, and driving cloud cost optimization across a multi-cloud environment. The role blends people management with hands-on technical direction, including design reviews, on-call management, and influencing engineering strategy beyond the immediate team.

Spectrum IT Recruitment · Ramsgate · £85,000 pa

Hands-on role taking ownership of software projects from requirements and technical design through to deployment and support. You'll build full-stack applications, APIs and AI-enabled automation, prepare products for commercial SaaS use, and shape architecture and standards while mentoring other developers in a small team.

Multiverse · London

Leads the Diagnose & Prescribe engineering team, owning delivery, technical direction and team health across AI-heavy services for learner diagnosis, eligibility and recommendations. Stays hands-on with distributed designs, RabbitMQ event schemas, API contracts and production code while carving logic out of a legacy monolith into dedicated services.

Anthropic · London

Conduct experimental research on AI safety, focusing on alignment and robustness of advanced systems. Develop and test techniques like AI debate and jailbreak evaluation, contributing to publications and safety policy. Work in a collaborative, interdisciplinary team using machine learning and systems engineering.

Faculty · London

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.

DCV Technologies · Manchester · £550 – £600 pd

Contract role building and deploying production AI/ML systems, with hands-on work in Python, PyTorch and Google Cloud Platform. The engineer develops Generative AI solutions using transformer architectures, RAG and agent frameworks like ReAct, then packages and serves models via Docker, KServe and Vertex AI endpoints. Responsibilities also cover MLOps practices such as CI/CD pipelines, model registries, monitoring, drift detection and GPU cost optimisation.

ElevenLabs · United Kingdom

Builds core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Works on systems on the path of every request for millions of users, scoping changes in a large existing codebase, rolling out safely and debugging from customer reports and logs. Backend leaning with Python, shipping customer-facing features end to end.

Faculty · Remote (UK)

Lead the technical direction and delivery of complex, high-risk AI projects for defence clients, balancing deep ML engineering with team leadership. You'll design scalable ML systems, set architecture, build shared libraries, mentor engineers, and work on-site with customers 2-4 days a week, with the rest remote or from the London office.

VinUniversity · Hanoi, Vietnam

A research-focused faculty role in the College of Engineering and Computer Science, affiliated with the Center for AI Research. The position combines leading high-impact, externally funded research in areas such as trustworthy generative AI and human-centric AI with teaching, curriculum development and student supervision, plus service and technology-transfer duties.

University of Oxford · Oxford · £49,119 – £59,955 pa

Leads a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings, running the lab's open-source software, producing policy-facing outputs, and guiding research assistants and students. Based in the Bayesian Governance Lab within Oxford's Department of Engineering Science, in collaboration with the Oxford Martin AI Governance Initiative, on a two-year fixed-term post.

Matchtech · Cambridgeshire · £450 – £650 pd

Contract Python developer role focused on building and maintaining software for integration with a defence cloud environment. Day-to-day work spans data and AI, automation and tooling, and DevOps, using Red Hat OpenShift, Quay, HashiCorp Vault, Tekton Pipelines, GitHub, ArgoCD and SonarQube within agile teams. Requires UK Eyes Only clearance eligibility and is based on-site/hybrid in Cambridgeshire.

University of Exeter · Exeter · £21,805 pa

Investigates whether small language models running on local workstations or on-premises servers can serve as reliable agents for bounded business workflows. The student will distil agentic capability from large teacher models via harness optimisation and fine-tuning on execution traces, measuring reliability, cost, latency and data locality, and releasing open tooling for UK SMEs.