Machine Learning Jobs

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

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, working with research teams to turn new methods into production systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

• London
• Hybrid · 3 days in office
• Lead

Lead the development and execution of (pre)-formulation strategies for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to optimise solubility, stability and manufacturability. Work within an interdisciplinary team alongside AI/ML drug design platform specialists, leveraging external CRO resources and authoring regulatory submissions.

ICH · ASAP · FDA

• London
• Hybrid
• £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon grow, and builds benchmarks that make long-horizon progress measurable. Sits at the boundary between research and engineering, debugging failures that only appear at frontier scale and shipping validated findings into production training recipes alongside adjacent RL teams.

• London
• Hybrid
• Senior
• Permanent

Lead the development of novel safety evaluations quantifying AI risks in high-impact domains such as CBRN and Cyber, executing original technical research from concept to publication. Shape the R&D agenda, contribute to client delivery and red-teaming for frontier labs, and engage externally with the global research community and government stakeholders.

Anthropic · GDM · Meta +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 risks from future ASL-3/ASL-4 models. Works collaboratively with Interpretability, Fine-Tuning and the Frontier Red Team on areas such as AI Control and alignment stress-testing, using Python throughout.

Kubernetes · Python · LLM

• Cambridge
• Senior

Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Reading
• Senior

Acts as the primary technical contact for academic and research partners, helping integrate NVIDIA's accelerated computing stack into large language model and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep multi-node LLM lifecycle expertise and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• Cambridge
• On-site
• Mid-level
• Permanent

Joins a research team advancing multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as fine-tuned LLM-as-judge. Analyses large offline and online datasets in Python to diagnose model failures and works with training, compiler and product teams to move models from prototype to production.

Python · LLM

• United Kingdom
• Remote
• Permanent

Owns features across frontend and backend for the ElevenAPI dashboard, SDKs and docs, improving onboarding, API key creation and self-serve subscriptions. Runs experiments on activation and works directly with developer feedback in a small, fully remote team, with scope to grow into technical or team leadership.

ElevenAPI

• United Kingdom
• Remote
• Permanent

Builds the systems behind a managed AI audio production service, owning one of three areas: a human data labelling and evaluation platform, the backend engine running production workflows, or a Rust-based professional editor platform. Work is mostly hands-on building of internal tools and core infrastructure rather than consumer features, with scope to lead projects.

• London
• On-site
• Entry level
• Permanent

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.

Rufus

• London

Embedded within an investment team, you will partner with portfolio managers and analysts to understand their research workflows and build AI-powered tools that support company analysis, screening and portfolio monitoring. The role spans LLM and agentic applications, Python engineering and data pipelines, taking projects from prototype through to production and driving adoption among investment professionals.

Python · SQL

• Cambridge
• Hybrid · 2–3 days in office
• Senior

Work on complex R&D projects within the Modelling Team, training diverse models including large self-supervised ones and deploying them into production. Involves transformer architectures, distributed training, and inference optimisation, with mentoring responsibilities and cross-department collaboration.

GQA · KV-Caching · Flash Attention +2

• London
• Hybrid · 2–3 days in office
• Senior

Join the Modelling Team to train large self-supervised and transformer-based speech models, ensuring their deployment into production. The role involves complex R&D, distributed training, inference optimisation, cross-department collaboration and mentoring, with a hybrid pattern of 2-3 office days per week.

GQA · KV-Caching · Flash Attention +2

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams and feed field insights back into product and research roadmaps. Hybrid London role with up to 50% travel and Spanish-speaking customers.

OpenAI