Latest deep learning engineer Jobs

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

Senior Simulation Engineer - Electromagnetics Specialist

Develops high-fidelity electromagnetic simulations across low- and high-frequency domains, focusing on semiconductor, aerospace, and automotive applications. Builds and validates complex EM models, automates simulation workflows, and collaborates with data science teams to train AI surrogates. Works on-site with customers to solve engineering challenges using advanced simulation and AI-driven tools.

PhysicsX North Tyneside, NE29 8EP, United Kingdom

Senior Performance Engineer

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design and execute performance studies to establish baselines, diagnose regressions, and quantify bottlenecks. Define evaluation methodologies and success metrics for AI workloads, using profiling and data analysis to drive optimization. Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

NVIDIA

Senior Performance Engineer

This role involves analyzing end-to-end performance of large-scale AI workloads across compute, networking, storage, and software stacks. The engineer will design performance studies, diagnose bottlenecks, and develop optimization strategies for AI systems running on NVIDIA's DGX Cloud infrastructure. Work includes close collaboration with deep learning engineers, platform teams, and architects to deliver measurable performance improvements at scale.

NVIDIA

Forward Deployed Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Develop scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle from prototyping to deployment using modern cloud and containerisation technologies.

Faculty London, United Kingdom

Permanent

Senior Forward Deployed Engineer

Design and build scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Lead technical architecture, deploy secure AI solutions on cloud platforms, and mentor engineering teams. Work cross-functionally to translate complex AI concepts into operational systems while adhering to rigorous ethical and security standards.

Faculty London, United Kingdom

Permanent

Senior Computer Vision Engineer

This role involves designing and developing advanced computer vision algorithms for object detection, tracking, and 6DoF pose estimation, with a focus on integration into embedded and flight software systems. The engineer will lead verification and validation activities, support sensor selection and integration, and provide technical mentorship. Collaboration with multidisciplinary teams ensures performance and compatibility across hardware and software in autonomous systems.

Holt Executive Oxfordshire, United Kingdom £60,000 – £94,000 pa

AI Engineer

Design and implement AI models, from prototyping to deployment, with a focus on generative AI and LLMs. Collaborate across teams to build responsible, scalable solutions using PyTorch, TensorFlow, and MLOps tools. Work on diverse client projects in an agile, ethically driven environment.

Peregrine Preston, Lancashire, United Kingdom

Research Engineer, Pretraining

This role involves conducting research and engineering to advance large language models, focusing on model architecture, optimization, and scalable training infrastructure. You'll work across the full stack—from low-level system optimizations to high-level model design—while contributing to scientific experiments and tooling. The position emphasizes collaboration, interpretability, and AI safety within a cohesive research team.

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

Staff Research Engineer - Multimodal Generative Modelling

This role involves developing advanced multimodal generative models that enable natural, real-time conversational interactions by integrating text, voice, and video. The engineer will lead research and implementation of low-latency, emotionally expressive AI systems, working across pretraining, post-training, and production deployment. Key focus areas include neural codecs, diffusion models, and streaming architectures to enhance realism and interactivity in Synthesia's AI video platform.

Synthesia London, United Kingdom

Remote Permanent

Research Scientist (Machine Learning), London

A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Research Scientist (Machine Learning), Lausanne

A Research Scientist in machine learning will develop novel AI models and algorithms to accelerate drug discovery, working in interdisciplinary teams to solve complex problems in computational biology and chemistry. The role involves designing deep learning architectures, training and scaling models, and translating research into practical applications. Collaboration with scientists across disciplines is central to advancing Isomorphic Labs’ mission of solving disease through AI.

Isomorphic Labs United Kingdom

Hybrid Permanent

Research Associate in Machine Learning for Protein Design

Develop and apply machine learning and structural bioinformatics methods for protein design, focusing on generative models like diffusion and flow-based approaches. Contribute to ProteinCAD, a computational framework for designing protein structures with specific shapes and assembly properties, within a multidisciplinary ARIA-funded project. Work closely with computational and experimental researchers across institutions.

Imperial College London London, United Kingdom £50 – £59 pa

Contract

Member of Technical Staff

This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Applied Scientist, Alexa International Tech

As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.

Amazon London, United Kingdom

On-site Permanent