Machine Learning Jobs

• London
• Hybrid
• Lead
• Permanent

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Metaview

• London
• Hybrid
• Mid-level
• Permanent

Builds and maintains the internal delivery platform that supports over 100 data scientists and ML engineers, owning cloud infrastructure, MLOps and deployment tooling. Work spans infrastructure-as-code, DevSecOps, containerised microservices and multi-cloud integration across AWS, Azure and GCP, with a focus on removing technical friction for delivery teams.

AWS · Azure · GCP +5

• London
• Remote
• Permanent

Builds and maintains the data pipeline behind Cohere's large language models, running data ablations to assess quality and designing pre-training data mixtures that improve model performance. Combines research and engineering, working with Python, Spark or Beam on web, code and multilingual corpora alongside researchers and engineers.

Apache Spark · Apache Beam · Pandas

• London
• Remote
• Permanent

Research engineering role on the integration team, building and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale distributed RL methods. Day to day involves writing high-performance training software, developing research tooling, and collaborating with infrastructure, efficiency, serving and scientific teams to improve SFT, offline preference and RL training cycles.

JAX · PyTorch · XLA +3

• United Kingdom
• Entry level
• Internship

Six- to twelve-month AI and algorithms internship for PhD or Master's students, working alongside engineers on client projects involving modelling, training, testing and data wrangling. Interns also contribute to internal R&D, building on state-of-the-art AI literature, and present results to colleagues and clients. Requires strong Python, Git and demonstrable research experience, plus UK security clearance eligibility.

Git · Transformer Models · Diffusion Models +1

• United Kingdom
• Hybrid
• Senior

Take technical ownership of AI projects for defence and security clients, designing and building agentic systems that search, interpret and act on information. Lead smaller projects, mentor junior engineers, and work directly with clients on proposals and new work. Requires SC clearance and UK residency.

• United Kingdom
• Remote
• Senior

Serves as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Works hands-on with researchers on large language model training, fine-tuning, inference and agentic workflows at supercomputing scale, delivering workshops and mentoring power users. Involves around 30% travel and close collaboration with research labs and university faculty.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• United Kingdom
• Remote
• Senior

Lead architecture for cloud-networking, defining system architecture for DPUs and NICs across orchestration, provisioning, security and SDN. Build end-to-end solutions from application to hardware, write architecture specifications, and prototype proofs of concept while working with global teams and high-profile customers.

DPDK · OVS · OVN +7

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Lead

Customer-facing role owning the full journey from onboarding and change management to roadmap planning and contract preparation, working alongside simulation, software, ML engineers and data scientists. Translates complex engineering and physics challenges into product opportunities, tracks engagement and grows strategic accounts. Hybrid, based in NYC or the Bay Area.

• 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 distributed systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead computational drug design programs from hit identification through to candidate nomination, applying AI-first approaches and shaping the ML drug design engine alongside ML scientists. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Hybrid working in Cambridge, MA, three days a week in office.

REINVENT

• Cambridge, United States
• Hybrid · 3 days in office
• Lead

Lead DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments while integrating PK, PD and toxicology data for dose and safety predictions. Work with AI/ML platform teams to optimise ADME models and author regulatory DMPK sections, in a hybrid Cambridge, MA role.

Python · R

• London
• Hybrid
• £150,000 – £190,000 pa
• Senior

Pre-sales architect role building technical relationships with Global and Regional System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.

AWS · GCP

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, covering training, evaluation and deployment pipelines for LLM/VLM models, GPU inference optimisation and advanced labelling workflows. Leads technical design from RFC to production, mentors engineers and works across Applied Science, Product and Data Science in a squad-based team.

TensorFlow · PyTorch · Triton +4

• London
• Senior

Own end-to-end design for a major area of the Databricks platform, spanning data engineering, analytics, databases, apps and AI agents. Work ranges from framing and interaction models to visual polish, with heavy use of interactive prototypes and AI coding agents to ship changes directly in the codebase alongside engineers. Designers also set quality bars, run customer research, and build reusable UX patterns and design system components.

Databricks · AI Coding Agents · Genie +5