Artificial Intelligence Jobs

Isomorphic Labs · London

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning and fine-tuning, with model training and inference engineering at scale. Interdisciplinary collaboration with research scientists and engineers, plus technical mentorship and project leadership depending on experience.

Isomorphic Labs · London

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.

Synthesia · Seattle, United States · US$200,000 pa

Builds and operates core enterprise platform systems, ensuring security, reliability and scalability for large customers, and contributes to a new API suite exposing Avatar technology to external creative tools. Owns multi-month, cross-team projects, translating business and regulatory requirements into scalable designs, and works with Python, React and AWS alongside product, security, legal and infrastructure partners.

Synthesia · London

This role focuses on translating Synthesia’s brand into global experiential formats, including trade shows, conferences, customer events, and digital experiences. The designer will lead end-to-end creation of spatial environments, signage, print, merchandise, and digital content, ensuring cohesive brand expression across physical and virtual touchpoints. Emphasis is placed on production quality, cross-functional collaboration, and scalable systems for global execution.

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

Builds and validates high-fidelity multiphase CFD and coupled CFD-DEM models, covering geometry clean-up, meshing, simulation, post-processing and experimental validation for granular and particle-laden systems. Automates parametric CAD and simulation pipelines for design optimisation and DoE, generating datasets for ML surrogate models on cloud and HPC resources, while working on-site with customers and mentoring junior colleagues.

Faculty · London

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while delivering bespoke algorithms and production-grade systems.

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 · £225,000 – £255,000 pa

Embed directly with strategic enterprise customers to ship production AI applications built on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Anthropic · London · £265,000 – £375,000 pa

Paid, fixed-term research residency of six weeks to six months for people transitioning into empirical AI safety work, with a scoped project and direct mentorship from Anthropic researchers. Residents get access to Claude models and GPU compute and work on areas such as scalable oversight, interpretability, adversarial robustness, AI control, safeguards, and frontier red-teaming.

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 · London

Join the Modelling Team to train large self-supervised and transformer-based speech models, deploying them into production with strong software engineering and model-serving practices. Work on complex R&D projects, optimise inference, and mentor engineers in a hybrid London setup.

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.

Causaly · London

Builds and operates the platform running long-lived agentic workflows, where a single run can last hours and fan out across dozens of subagents. Work spans durable execution, checkpointing and retries, LLM integration with guardrails, and tracing and cost attribution across services and two languages, weighted towards backend and platform in TypeScript and Node.js.