Latest deep learning engineer Jobs

Principal CFD Engineer

A Principal CFD Engineer will lead the development and delivery of high-fidelity, multi-physics simulation models for real-world engineering challenges in aerospace, defense, and advanced manufacturing. The role involves hands-on CFD modeling, automation of simulation workflows, and close collaboration with customers and data science teams to integrate CAE with AI-driven tools. The engineer will also mentor junior staff and contribute to building scalable, optimized simulation pipelines on cloud and HPC platforms.

PhysicsX England US$200,000 pa

Hybrid Permanent Clearance Required

Principal CFD Engineer

This role involves building and validating high-fidelity, multi-physics CFD models for real-world engineering challenges across aerospace, energy, and automotive sectors. The engineer will integrate simulations with AI-driven workflows, automate CAD and simulation pipelines, and collaborate directly with customers on-site to deliver optimised design solutions. A key focus is generating high-quality datasets for training machine learning models while advancing simulation best practices in an AI-CAE integrated environment.

PhysicsX United Kingdom

On-site Permanent

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, diagnose bottlenecks, and drive optimizations. Collaborate with deep learning engineers and platform teams to improve AI system performance and efficiency.

NVIDIA United Kingdom

Senior Performance Engineer

This role involves analyzing end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. The engineer will design performance studies, identify bottlenecks, and drive optimizations in collaboration with deep learning and platform teams. Work focuses on profiling, benchmarking, and delivering actionable insights to improve the efficiency and reliability of NVIDIA's DGX Cloud AI systems.

NVIDIA

Forward Deployed Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. You'll work across the full ML lifecycle, design scalable software architecture, and act as a technical advisor to translate complex concepts for stakeholders. The role emphasizes operationalising models, defining deployment standards, and delivering bespoke AI solutions in collaboration with cross-functional teams.

Faculty London, United Kingdom

Permanent

Senior Forward Deployed Engineer

Lead the design and deployment of scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Collaborate across engineering, data science, and commercial teams to operationalise AI solutions, while mentoring junior engineers and shaping technical standards. Work on-site with government clients and contribute to ethical, secure AI practices in a cross-functional, client-facing role.

Faculty London, United Kingdom

Permanent

AI Engineer

Design and implement AI models across the full development lifecycle, from prototyping to deployment, with a focus on generative AI and LLMs. Collaborate with cross-functional teams to build responsible, scalable solutions using modern ML and MLOps tooling. Work across diverse client projects in an agile, consultancy environment.

Peregrine Preston, Lancashire, United Kingdom

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

Staff Research Engineer - Multimodal Generative Modelling

This role involves advancing multimodal generative models that enable natural, real-time interactive conversations combining voice, text, and video. The engineer will lead research in streaming, low-latency systems, design novel architectures using diffusion and neural codecs, and ship end-to-end models into production. Emphasis is placed on emotional expressiveness, conversational realism, and tight integration across audio-visual modalities.

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 a cross-disciplinary environment with scientists and engineers. The role involves designing architectures, training models, and applying cutting-edge ML techniques to biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Sr. Applied Scientist, Alexa International

This role involves developing advanced multilingual speech generation and speech-to-speech models to enhance Alexa's voice experiences across international markets. The scientist will design novel algorithms, optimize model performance, and improve pronunciation accuracy and voice quality for non-English locales. Work includes close collaboration with engineers and product teams to deploy models at scale and drive scientific strategy across global speech quality initiatives.

Amazon London, United Kingdom

On-site Permanent

Applied Scientist, Alexa International Tech

This role involves developing advanced generative AI and multimodal systems to enhance Alexa's speech synthesis across multiple languages and cultures. The scientist will design and iterate on deep learning models, conduct experiments, and transition research into large-scale production. Collaboration with engineers and product teams ensures culturally appropriate, natural-sounding voice experiences for global users.

Amazon London, United Kingdom

On-site Permanent

Full Stack Python Developer

Full Stack Python DeveloperSalary: £60,000 to £80,000Location: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Full Stack Python Developer for an innovative UK technology company developing advanced Artificial Intelligence...

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £60,000 – £80,000 pa

Member of Technical Staff, Applied AI

Develop and deploy proprietary generative AI models into pharmaceutical and biotech customer environments, bridging deep technical understanding with production engineering. Collaborate closely with researchers and customer teams to adapt models, build robust ML pipelines, and deliver performant, secure inference systems. The role involves translating scientific requirements into technical solutions and feeding insights back into model development.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent