Machine Learning Jobs

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

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and documented handoff. Works with government agencies, systems integrators and cloud providers on supported OpenAI APIs and Codex, with explicit data, inference and production-readiness boundaries.

OpenAI · Codex · Model APIs

• London
• Hybrid · 3 days in office
• Director · manages people
• Permanent

Lead a team of senior Applied AI Architects acting as technical CTOs for OpenAI's largest North EMEA customers, owning technical account plans across ChatGPT Enterprise, the API, Codex and agentic solutions. Sets the regional operating model with Sales, allocating technical resources and guiding customers from pre-sales discovery through production adoption.

ChatGPT Enterprise · OpenAI API · Codex

• 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 · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, blending research and engineering in a highly collaborative environment.

PyTorch · Kubernetes · GPUs +1

• London
• On-site
• £260,000 – £630,000 pa
• Mid-level

Own critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full stack. The role splits roughly 50/50 between research and engineering, with on-call incident response during model launches and close collaboration with teams in SF and London.

JAX · TPU · PyTorch +3

• United Kingdom
• Remote
• Permanent

Owns the path from research checkpoint to production serving infrastructure, optimising inference latency, throughput and cost with quantization, distillation, KV-cache tuning, batching and custom kernels. Builds high-performance streaming serving systems and tooling so researchers can ship models quickly and safely.

CUDA · Triton · TensorRT +2

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, deduplication at web scale, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Kubernetes

• 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

• Cambridge
• On-site
• Permanent

Consultants design and deploy machine learning systems for diverse defence and security projects, from proofs-of-concept to working prototypes. The role spans literature analysis, model training, rapid prototyping and experiment design, often combining science, engineering and ML in novel settings. Work is on-site in Cambridge within a flat, collaborative team of around 40 specialists.

PyTorch · TensorFlow · Keras +3

• 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

• 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

• Solihull
• £45,000 – £62,000 pa
• Permanent

Research and develop AI/ML approaches for power electronics, designing, modelling and simulating converter systems (AC/DC, DC/DC, DC/AC) using tools such as MATLAB, PLECS or Ansys. The role sits at the intersection of power electronics and artificial intelligence, translating academic research into practical engineering applications across electric vehicles, rail and renewable energy.

MATLAB · PLECS · Ansys