Latest Deep Learning Jobs

Senior Software Engineer, RL Post-Training Frameworks

This role involves designing and building scalable reinforcement learning post-training infrastructure that supports the full lifecycle of RL workflows, from experimentation to production at scale. The engineer will optimize distributed training-inference-rollout loops across heterogeneous hardware, contribute to open-source RL frameworks like VeRL and TorchTitan, and collaborate with research and hardware teams to shape future AI capabilities. Key challenges include fault tolerance, elastic scaling, and efficient coordination of actor-critic-reward models in complex distributed environments.

NVIDIA

Remote Permanent

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multi-physics simulation models, particularly in multiphase CFD and coupled CFD-DEM, to support AI-driven engineering solutions. The engineer will work directly with customers across industries like aerospace, energy, and automotive to build and validate complex simulations, automate workflows, and generate data for machine learning. Key responsibilities include geometry processing, meshing, simulation, and optimisation using tools like Star-CCM+, OpenFOAM, or Fluent, alongside Python scripting and parametric CAD integration.

PhysicsX London, United Kingdom

Principal CFD Engineer

Lead the development and delivery of high-fidelity, multi-physics simulation models integrated with AI tools, working directly with customers in aerospace, defense, and advanced industries. Focus on CFD, parametric CAD, and automation to enable design optimization and machine learning workflows. Mentor junior engineers and improve simulation practices while traveling globally to support on-site implementations.

PhysicsX England US$200,000 pa

Hybrid Permanent Clearance Required

Developer Relations Manager, Retail & Media Entertainment

As a Developer Relations Manager, you will act as the technical point of contact for startups and developers building AI and LLM applications in the retail and media entertainment industries. You will evangelize NVIDIA’s AI technologies, build sample applications, and support developers in optimizing their models. This role involves significant engagement with the developer community, benchmarking performance, and shaping adoption strategies.

NVIDIA Germany

On-site Permanent

Machine Learning Engineer, Global Public Sector

Design and build reliable, multi-step agentic systems for high-stakes government applications, focusing on AI safety, red-teaming, and model optimization in regulated environments. Develop novel architectures and evaluation frameworks to ensure sovereign AI systems are performant, unbiased, and production-ready at scale.

Scale AI United Kingdom

On-site Permanent Clearance Required

Principal Machine Learning Engineer

This role involves leading the technical direction of complex AI systems, particularly within financial services, by designing scalable machine learning architectures and providing expert guidance across projects. The Principal Machine Learning Engineer will solve cross-cutting technical challenges, influence company-wide strategy, and ensure robust, innovative solutions are delivered. Emphasis is placed on architectural leadership, hands-on system design, and translating advanced data science into real-world impact.

Faculty AI London, United Kingdom

Hybrid Permanent

Lead Machine Learning Engineer

Leads the technical direction and delivery of complex machine learning projects, designing scalable and reliable AI systems while guiding architectural decisions and mentoring engineering teams. Focuses on building reusable solutions and driving innovation within regulated environments across financial services and other sectors. Works closely with clients and stakeholders to translate strategic goals into practical, high-impact AI implementations.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Machine Learning Scientist

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Lead Learning Scientist

The role involves leading the development and application of learning science principles within AI-powered education systems, ensuring they are effective, safe, and grounded in evidence. You'll define best practices, design learning architectures, and evaluate impact across high-stakes projects like national infrastructure and AI tutoring. The position requires close collaboration with technical teams to translate pedagogy into buildable, scalable solutions.

Faculty London, United Kingdom

Permanent

Lead Machine Learning Engineer - Retail

Lead Machine Learning Engineer to define technical direction for AI projects in retail, designing scalable ML systems and mentoring engineering teams. Focus on innovation, architectural integrity, and delivery of reusable solutions across high-impact client engagements.

Faculty London, United Kingdom

On-site Permanent

Computational Scientist - Deep Tech

Develop advanced computational models integrating mechanistic understanding, machine learning, and digital twin technology to transform complex industrial processes. Work with multidisciplinary teams to build predictive systems using real-time sensor data and drive iterative improvements. Focus on creating intelligent, data-driven platforms with real-world scientific and engineering impact.

Newton Colmore Spain, United Kingdom

Director - Machine Learning - Financial Crime

Leads the UK Financial Crime machine learning portfolio, providing technical direction and ensuring scalable, high-quality model delivery across fraud detection and transaction monitoring. Drives end-to-end model lifecycle ownership, from design and deployment to monitoring and optimisation, while managing a team of data scientists and collaborating with senior stakeholders across compliance, technology, and risk functions. Focuses on regulatory alignment, technical excellence, and operationalisation of ML solutions in a highly controlled environment.

Barclays United Kingdom

On-site Permanent

Senior/Principal Machine Learning Scientist (Generative Modelling)

Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

Staff Software Engineer - Machine Learning

This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.

Capital One Bunhill, London, United Kingdom

Hybrid Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves advancing reinforcement learning in large language models, focusing on developing agentic systems for computer use, code generation, and reasoning. The engineer will build scalable RL infrastructure, design training environments, and collaborate across research and engineering to implement safety and performance improvements at scale.

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