Artificial Intelligence Jobs

• London
• Hybrid
• Senior
• Permanent

Lead original technical research in AI safety, steering projects from research question to publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code in PyTorch and Python.

PyTorch · Transformers · Metaview

• London
• Hybrid
• Lead · manages people
• Permanent

Leads a small, high-agency research team setting the scientific agenda for AI safety, with a focus on large language models and safety-critical systems. Involves conducting and overseeing red-teaming and evaluations in high-risk domains such as CBRN and cybersecurity, publishing at top conferences, and mentoring researchers while aligning work with commercial goals.

Python

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on AI control and alignment stress-testing. Works closely with interpretability, fine-tuning and red-team researchers, building tooling, multi-agent RL experiments and jailbreak evaluations, and contributing to papers and blog posts.

Python · Kubernetes · LLM +1

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

• London
• Hybrid
• Lead
• Permanent

Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI, exploring how world knowledge, memory and reasoning improve physical-world decision-making. Stay hands-on developing architectures, training and post-training large-scale models, while mentoring researchers and shaping technical direction across London and Sunnyvale.

PyTorch

• Oxford
• On-site
• £49,119 – £58,265 pa
• Senior
• Contract

Develops and validates machine learning models for disease forecasting and simulation models for scenario exploration, using large-scale epidemiological, genomic and behavioural data. Builds decision-support tools and reproducible pipelines, integrating them into public health workflows with partners in Nigeria and the DRC through co-design workshops and training.

• London
• Hybrid
• Lead

Owns high-level research workstreams, setting technical direction and roadmaps while guiding junior team members. Translates physics and engineering challenges into mathematical formulations and builds deep learning models to predict physical system behaviour, collaborating with ML and simulation engineers to ship production code.

PyTorch · CUDA · JAX +4

• London
• Hybrid · 3 days in office
• Senior · manages people

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.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Mid-level · manages people

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments, and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists and domain experts, with opportunities to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +3

• United Kingdom
• Remote
• Senior

Lead applied research applying LLMs, deep learning and other modern AI techniques to cybersecurity, architecting research strategy and shaping GenAI model architectures, training and deployment. Build production AI systems at massive scale while mentoring scientists and aligning technical strategy with senior leadership.

CrowdStrike · LLM · Deep Learning +2

• Spain
• Remote
• Senior
• Permanent

Lead and architect research strategy applying LLMs, deep learning and other modern AI techniques to cybersecurity, driving novel approaches to reasoning, summarisation and interactivity. Build production-ready AI systems at massive scale, make strategic decisions on model architectures and deployment, and mentor scientists while shaping the company's AI vision.

CrowdStrike · LLM · Deep Learning Frameworks +2

• United Kingdom
• Remote
• Permanent

First dedicated analytics partner to Finance within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, and partners with Analytics Engineering on the certified finance KPI layer. Requires reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.

Stripe · Salesforce · dbt +1

• London
• Hybrid
• Senior

Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• London
• Remote
• £265,000 – £375,000 pa
• Senior
• Temporary

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 Claude model and GPU compute access and work on alignment, interpretability, scalable oversight, red-teaming or ML systems alongside research teams.

Kubernetes · LLMs · Claude +1