Machine Learning Jobs

Machine Learning Developer - Quant Strategies

This role involves building statistical models for quantitative strategies in equities and commodities, working closely with business partners to deliver robust solutions. You will become the machine learning authority, attending events and delivering presentations, while operating in a forward-thinking environment with opportunities for personal projects.

Newton Colmore London, United Kingdom

On-site Permanent

Senior Applied Data Scientist

This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll work with large-scale transactional data, apply machine learning techniques, and design A/B tests to deliver scalable, data-driven solutions. The position emphasizes collaboration with cross-functional teams and translating complex insights for both technical and non-technical stakeholders.

dunnhumby London, United Kingdom

Hybrid Permanent

Senior Software Security Developer – Core Platform Services

This role involves designing and implementing core security features for a high-performance simulation platform, with a strong focus on authentication, secure coding standards, and cross-team collaboration. The developer will act as a security SME, conducting threat modeling, code reviews, and mentoring engineers across the organization. Work spans identity protocols, platform guardrails, and incident response support within a fast-paced, AI-driven engineering environment.

PhysicsX London, United Kingdom

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using Python, PyTorch, and cloud/on-prem infrastructure. Frequent international travel and on-site collaboration are key aspects of the role.

PhysicsX London, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development of deep learning models to enhance underwriting systems using non-traditional data such as text, logs, and time series. Design and deploy neural networks including LSTMs, RNNs, and Transformers, bridging research with production deployment. Collaborate with stakeholders to drive data science initiatives from prototype to market impact.

Capital One Loughborough, Leicestershire, LE11 2QG, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting capabilities using non-traditional and multi-modal data. Design and train neural networks such as LSTMs, RNNs, and Transformers, and translate research prototypes into production systems. Collaborate with stakeholders to align technical innovation with business outcomes and mentor junior team members.

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, using non-traditional data sources and advanced neural networks. Work closely with stakeholders to translate R&D into production solutions, while mentoring junior data scientists and shaping technical direction. Focus on time series, NLP, and multi-modal data using PyTorch, TensorFlow, or Transformers.

Capital One Nottingham, Nottinghamshire, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, using advanced neural networks on structured and unstructured data. Translate research into production solutions while mentoring team members and collaborating with stakeholders. Work across the full lifecycle from prototyping to scalable implementation in a hybrid office environment.

Capital One Mansfield, Nottinghamshire, United Kingdom

Infrastructure Team Lead

Lead and develop a team of infrastructure engineers while driving technical strategy for systems supporting AI research and development. Focus on operational stability, automation, and infrastructure-as-code across bare metal GPU clusters, virtualized environments, and Kubernetes. Own incident response, capacity planning, and vendor relationships while fostering engineering growth through coaching and career development.

Speechmatics Cambridge, United Kingdom

Infrastructure Team Lead

The Infrastructure Team Lead will lead a team of engineers while driving technical strategy across the full infrastructure stack, from bare metal GPU clusters to internal services. The role involves hands-on work with infrastructure-as-code (Terraform, Ansible, Helm), automation, and operational reliability, alongside coaching engineers and shaping career development. This position is central to scaling and stabilising systems that support AI research and development in a high-impact engineering environment.

Speechmatics London, United Kingdom

Hybrid Permanent

Senior Machine Learning Engineer

Design and implement high-performance machine learning models using C++, CUDA, and PyTorch, with a focus on GPU acceleration and advanced AI applications such as Transformers and computer vision. Work within a research-driven team to develop next-generation AI solutions for real-world deployment. The role involves low-level optimisation and close collaboration on cutting-edge algorithm development.

Hexwired Recruitment Limited London, United Kingdom £60 – £80 ph

Research Engineer, Pretraining

A Research Engineer on the Pretraining team will bridge cutting-edge AI research and large-scale systems engineering, focusing on advancing large language models through work in model architecture, training optimization, and data processing. The role involves deep collaboration across research and engineering, with hands-on contributions to the full stack—from low-level infrastructure to high-level model design. Key projects include optimizing attention mechanisms, scaling distributed training, and improving model interpretability.

Anthropic London, United Kingdom £260,000 – £630,000 pa

On-site Permanent

[Expression of Interest] Research Engineer / Scientist, Alignment - London

This role involves conducting experimental research in AI safety and alignment, focusing on risks from advanced AI systems. You'll design and run machine learning experiments—such as testing safety robustness, developing control methods, and stress-testing alignment—to improve the reliability and steerability of AI. The work is highly collaborative, involving contributions to research papers and close coordination with teams like Interpretability and Fine-Tuning.

Anthropic London, United Kingdom £260,000 – £370,000 pa

Hybrid Permanent

Staff Software Security Engineer

This role focuses on building and maintaining robust security infrastructure for large-scale AI systems, with a strong emphasis on cloud security, secure CI/CD pipelines, and containerized environments. The engineer will design secure-by-design workflows, implement identity and access management, and harden systems against supply chain threats. They will also mentor teams and lead security initiatives across a multi-cloud environment, ensuring AI systems remain safe, interpretable, and trustworthy.

Anthropic London, United Kingdom £240,000 – £325,000 pa

Hybrid Permanent

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Permanent