Artificial Intelligence Jobs

Databricks · London

Customer-facing, billable engineering role owning architecture and design decisions while building production-grade data and AI systems on the Databricks platform. Involves embedding with client teams, integrating with their systems, and delivering end-to-end pipelines, ML/AI models and user-facing applications, with around 20% travel to customer sites.

University of Surrey · Guildford · £21,805 pa

Develops next-generation federated machine unlearning algorithms that deliver verifiable, robust erasure without harming model performance or participant privacy. Research spans certified unlearning with formal guarantees, robustness to adversarial relearning, federated-specific benchmarks, and scalable unlearning for foundation models, supervised by Dr Pedro Porto Buarque de Gusmao and Dr Frank Guerin.

University of Surrey · Guildford · £21,805 pa

Develops a computational framework combining computer vision, graphics and machine learning to speed up and improve cinematic camera lens design and simulation. The work covers forward simulation of candidate lens configurations and inverse design of lens architectures against imaging or perceptual objectives, using differentiable rendering and data-driven models. Based at the Vision, Speech and Signal Processing group under Dr Marco Volino and Dr Jean-Yves Guillemaut, with close industry collaboration.

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.

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.

Wayve · London

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, drawing on the World Foundation Model to surface rare scenarios and performance gaps. Day to day spans defining annotation tasks and quality criteria, curating datasets, training and evaluating models in PyTorch, and integrating classifiers into enrichment infrastructure for corpus-wide inference.

Wayve · London

Works at the boundary between onboard software and vehicle hardware, bringing up new vehicle platforms on benches, HiL systems and vehicles, including at international test locations. Builds and maintains vehicle-facing components and shared frameworks in C++, Python or Rust on Linux-based robotic and automotive systems using ROS2, CAN and Automotive Ethernet, with diagnostics, tooling and documentation for long-term supportability.

The Francis Crick Institute · London · £47,500 pa

Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.

Faculty · London

Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production impact. The role involves capability testing for Frontier AI models, multi-agent systems, scalable cloud infrastructure and safety-first frameworks, while advising senior clients and mentoring engineering talent.

Faculty · London

Drives technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. Leads capability testing for Frontier AI models, builds scalable ML infrastructure and multi-agent tooling, and advises senior client stakeholders while mentoring engineers.

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.

Mohamed bin Zayed University of Artificial Intelligence · Abu Dhabi, United Arab Emirates

Conducts AI and network data science research on molecular multi-omics and medical data to advance precision medicine and discover new therapeutics. Works with an interdisciplinary team on the flagship Human Phenotype Project and Emirati Genome Project datasets, designing algorithms, publishing papers, and helping supervise PhD and MSc students.

Infused Solutions · London · £65,000 – £75,000 pa

Hands-on full-stack role building brand-new AI-powered products from concept to production within a small, senior engineering team. You'll architect scalable solutions, develop PoCs, prototypes and MVPs, build React UIs and Node.js/Express/Python APIs on Azure, and use AI-assisted development tools to accelerate delivery.

Aarhus University · Aarhus, Denmark

Three-year PhD fellowship in Physical AI at Aarhus University's Adaptive & Agentic AI Lab, supervised by Behzad Bozorgtabar and Qi Zhang. The researcher will develop vision-language-action models, world models for planning, and efficient adaptation methods for edge robotics, targeting publications at NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL, RSS and ICRA.

Thought Machine · Lisbon, Portugal

Lead and develop a team of engineers while contributing technically to complex, cloud-native banking technology projects. Bridge product, client, and engineering teams to deliver scalable, secure solutions on a modern tech stack. Balance hands-on technical work with people management and strategic delivery in a fast-paced, high-ownership environment.