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.

eFinancialCareers · London

Architects, deploys and supports machine learning and GenAI infrastructure on AWS, building CI/CD pipelines and turning data science models into production systems. Works within an AI Enablement team using Terraform, Jenkins, Kubernetes and SageMaker, with a focus on auditability, versioning and data security while liaising with clients on requirements.

eFinancialCareers · London

Hands-on engineering lead building AI-powered products and scalable developer platforms, staying close to code through architecture, system design and reviews. Sets technical direction across full-stack ecosystems (frontend, backend, APIs, cloud) and drives adoption of Generative AI, DevSecOps and platform engineering. Mentors engineering managers and principal engineers across multiple teams.

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.

AI Security Institute · London · £65,000 – £145,000 pa

Evaluates frontier and open-weight AI models for cybersecurity, autonomy and AI R&D capabilities, building realistic cyber ranges and CTF suites, running pre-deployment testing and validating novel model behaviours. Works alongside engineers and researchers with high autonomy, collaborating with UK government, frontier labs and NCSC.

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.

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.

Anthropic · London · £165,000 – £190,000 pa

Partner with founders and engineers to architect LLM solutions on the Claude Developer Platform, guiding startups from technical discovery through deployment. Win technical evaluations, build evaluation frameworks, and feed emerging use cases back to Product and Engineering. Requires travel to customer sites and startup events.

Thought Machine · London

Technical Programme Managers own the delivery of complex, multi-team engineering programmes, from planning and milestones through to coordination and stakeholder communication. The role requires hands-on understanding of microservice stacks such as Kubernetes, Kafka and AWS/GCP, and involves driving continuous improvement across a fast-paced engineering organisation.

Morson Edge · West Yorkshire · £170,000 – £180,000 pa

A senior leadership role owning the data and AI strategy, roadmap and technical direction across the organisation. Day to day it spans hands-on work with generative AI, LLMs, RAG and agentic architectures, MLOps and data platform governance, plus building and leading a high-performing Data & AI team and partnering with Product, Engineering, Architecture and Security to scale prototypes into production.

University of Southampton · Southampton · £46,970 – £49,798 pa

Lead a translational research project extracting structured clinical findings from electronic health records using open-source large language models, harmonising them to ontologies such as HPO, SNOMED CT and ICD-10. Develop reproducible LLM-based pipelines on high-performance computing, integrate clinical and genomic data for autoimmune disease diagnostics, and manage early career researchers within a multidisciplinary team.

University of Sheffield · Sheffield · £39,560 – £43,099 pa

Postdoctoral role applying explainable NLP and machine learning to analyse online disinformation narratives, integrate findings into a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews. The researcher joins the European-funded ANTIGONE project, collaborating with multidisciplinary partners and leading publication of results in high-impact journals and conferences.

Faculty · London

Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.

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.

Darktrace · Cambridge

Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.