Artificial Intelligence Jobs

Isomorphic Labs · London

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. The role follows a hybrid model requiring three days a week in the London office.

Isomorphic Labs · Cambridge, United States

Designs and leads in vitro and cellular pharmacology strategies for small-molecule drug discovery programmes, defining screening cascades and overseeing biophysical, biochemical and cell-based assays. Works closely with AI/ML, medicinal chemistry, structural biology and in vivo teams, and manages external CRO activities to link computational predictions with laboratory validation. Some roles include line management of 2-3 scientists.

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.

PhysicsX · Singapore

Builds and operates a SLURM-on-Kubernetes HPC platform with 304 B200 GPUs, split evenly between platform engineering and hands-on support for researchers. Work covers cluster reliability, containerised job environments, high-performance storage and networking, and debugging distributed training and data generation workloads.

Luminance · Cambridge

Joins a new Quality team to build and maintain a state-of-the-art QA process, writing end-to-end tests with Cucumber, Cypress and Playwright and investigating defects to prevent recurrence. Acts as the link between Development and Product, formalising specifications into testable units and driving the shift toward automation as standard, including release quality metrics.

Luminance · London

Sits at the intersection of product, customers and market, working with blue-chip clients to maximise value from legal-grade AI technology and shape product innovation for a global customer base. Also acts as a company ambassador, speaking at industry conferences and partnering strategically with the leadership team.

Faculty · London

Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

Faculty · London

Lead delivery across an AI safety portfolio, overseeing frontier model evaluations and red teaming projects for government and public sector clients. Act as the primary link between customers and data scientists, translating safety research into strategy while growing accounts and mentoring team members.

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.

Anthropic · London · £325,000 – £485,000 pa

Owns the full lifecycle of accelerator capacity, from ingesting and provisioning compute across major clouds and custom datacenters to scaling clusters and building health, diagnostics and repair automation for GPU, TPU and Trainium nodes. Sets technical strategy for node lifecycle management and drives cross-team initiatives to keep one of the industry's largest AI compute fleets reliable and usable.

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.

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.

Speechmatics · Cambridge

Work on complex R&D projects within a Modelling Team that trains large self-supervised speech models and deploys them to production. Involves distributed training, transformer architectures, and inference optimisation, with mentoring and cross-department collaboration.

Speechmatics · London

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Amazon · London

Owns the education-specific generative AI go-to-market for AWS, building co-sell strategies with model providers and leading Innovation Acceleration engagements for EdTech firms, universities and education ministries. Engages senior leaders such as founders, presidents, CIOs and government officials to drive net-new GenAI workloads on Amazon Bedrock, working with Solutions Architects, the GenAI Innovation Center and partner teams. Requires 25-35% travel and global customer coverage.