Artificial Intelligence Jobs

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.

PhysicsX · Singapore

Develops high-fidelity multiphase CFD and DEM models for industrial bioprocess and chemical engineering applications, covering gas-liquid, solid-liquid, VOF and Euler-Euler/Euler-Lagrange approaches. Owns the full simulation pipeline from geometry clean-up and meshing to solver setup, HPC job scheduling and experimental validation, while building parametric CAD models and AI surrogate models to support design optimisation and customer-facing delivery.

PhysicsX · London

Owns and evolves an HPC environment for CPU/GPU-heavy physics simulations, covering cluster administration, job scheduling (Slurm/PBS/LSF), performance tuning and capacity planning. Acts as escalation point across HPC, developer tooling and general IT support, mentors junior engineers, and drives automation-first, zero-trust infrastructure in a scale-up.

CrowdStrike · Reading · £140,000 – £215,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, high-availability platforms and cloud cost optimisation across a multi-cloud environment. The role combines people management, on-call ownership and hands-on architecture of large-scale distributed systems, with hybrid working near Reading.

CrowdStrike · Boston, United States · US$140,000 – US$215,000 pa

Lead a team building self-service infrastructure-as-code primitives, high-availability services and cloud cost optimization across a multi-cloud environment. The role combines people management with hands-on architecture of large-scale distributed systems, using tools like Terraform, Pulumi, Chef and Python or Go, with a strong SRE and GitOps focus.

Databricks · United Kingdom

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

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.

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.

Wayve · London

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, prototypes and cross-functional alignment across perception, calibration and validation teams.

Wayve · London

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. You'll root-cause on-road issues and fix them through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

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.

SJIT · London · £550 – £650 pd

Lead a London specialty insurer's first AI initiative from a blank slate, identifying and prioritising use cases such as broker submissions, document processing and claims data. Shape the data, tooling and governance foundations, then build and ship production solutions using LLMs, RAG and cloud AI services. The role also involves explaining work to senior stakeholders and handing over to the in-house team.

University of Essex · Milton Keynes · £41,950 pa

Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns. A KTP partnership between the University of Essex and Sports Information Services Ltd.