Latest Deep Learning Engineer Jobs

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

Senior CFD Engineer - Plasma Specialist

You will develop high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, working directly with customers on-site to solve niche engineering challenges. You'll integrate simulations with AI workflows using tools like COMSOL and CFD-ACE+, validate models against real-world data, and collaborate with data scientists and ML engineers. The role involves global travel and combines technical leadership with mentoring junior colleagues.

PhysicsX London, United Kingdom

Hybrid Permanent

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on next-generation NVIDIA GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance AI performance and scale across datacenters. Work at the forefront of compiler innovation for deep learning and AI architectures.

NVIDIA Cambridge, United Kingdom

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations for NVIDIA's GPUs. You'll solve complex compilation challenges, collaborate on hardware-software co-design, and help scale AI workloads across datacenters. The position emphasizes innovation in MLIR-based frameworks and optimizing performance on cutting-edge GPU architectures.

NVIDIA United Kingdom

Full Stack Software Engineer

Build and scale AI-powered full-stack systems for global clients in regulated industries, collaborating with data scientists and product managers. Take ownership of frontend and backend architecture, turning machine learning outputs into production-ready solutions. Work in a technically rigorous environment focused on responsible AI deployment and long-term maintainability.

Faculty AI London, United Kingdom

Hybrid Permanent

Platform Engineer

This role involves building and maintaining the MLOps and deployment infrastructure that supports data science teams in transitioning machine learning models from exploration to production. The engineer will work across multiple cloud platforms, design containerised microservices architectures, and implement DevSecOps and infrastructure-as-code practices. Collaboration with customer-facing teams ensures platform solutions are scalable, secure, and effectively integrated into client environments.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Software Test Engineer

The role involves leading test engineering efforts within a cross-functional product team, focusing on frontend, backend, and mobile applications built on microservices and machine learning. Responsibilities include designing automated test frameworks, driving quality improvements, mentoring team members, and integrating testing into CI/CD pipelines. The engineer will use a mix of open-source and custom tools while advocating for strong test culture and quality practices across teams.

Entrust Portugal

Senior Software Test Engineer

This role involves leading test engineering efforts within a cross-functional team, focusing on designing and implementing automated test frameworks for web, backend, and mobile applications built on microservices and machine learning. The engineer will advocate for quality, mentor team members, and integrate testing into CI/CD pipelines using modern tools and cloud infrastructure. The position emphasizes ownership of test strategy and collaboration with product and engineering to ensure robust, scalable solutions.

Entrust

Forward Deployed Engineer

The Forward Deployed Engineer role involves embedding with client engineering teams to design, build, and deliver production-ready implementations of Thought Machine's Vault and associated products. Responsibilities include writing production-quality code, debugging complex issues, and providing technical consulting to ensure client success. The role requires travel to client sites and close collaboration with both client and internal teams.

Thought Machine London, United Kingdom

On-site Permanent

Senior Software Engineer I

This role involves leading the design and implementation of complex, cloud-native systems within a high-growth fintech environment. The engineer will drive technical direction, mentor senior teams, and solve ambiguous, large-scale problems across distributed services. Emphasis is placed on operational excellence, cross-team collaboration, and advancing Thought Machine's core banking platform through innovation in architecture and developer practices.

Thought Machine London, United Kingdom

On-site Permanent

Staff Software Engineer, Continuous Integration

This role involves designing and maintaining large-scale continuous integration infrastructure to support rapid, reliable code deployment across multiple cloud environments. The engineer will build intelligent test selection systems, improve CI reliability through flake detection and automation, and enhance developer productivity with scalable tooling. The position operates within a high-impact research and product environment focused on safe and steerable AI systems.

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

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on reliability, performance optimization, and debugging across hardware, networking, and training dynamics. The engineer will run experiments to improve training efficiency, respond to incidents during model launches, and collaborate closely with research and systems teams. It’s a high-impact, operational role blending deep technical engineering with empirical research in a fast-paced, safety-focused AI environment.

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

Senior Research Infrasructure Engineer

This role involves developing and maintaining large-scale research computing infrastructure, supporting HPC, AI, and data-intensive workloads. The engineer will work closely with researchers and technical teams to design and improve research platforms, lead technical initiatives, resolve complex issues, and contribute to infrastructure strategy and funding efforts.

Tate London City Southampton, United Kingdom £51,000 – £63,000 pa

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