Latest Deep Learning Engineer Jobs

Spotlight

Senior Machine Learning Scientist

This role involves developing and deploying custom machine learning and LLM-powered systems for customer feedback analysis, including fine-tuning, retrieval, summarisation, and agentic workflows. The scientist will lead experimentation, evaluation, and productionisation of models while mentoring team members and integrating cutting-edge AI research into real-world applications.

Chattermill London, United Kingdom

Remote Permanent

Spotlight

Business Development Manager – New Business Sales

Drive new business acquisition for an AI-powered computational imaging software company, focusing on scientific and industrial markets. Engage in technical sales discussions, lead customer evaluations, and build long-term relationships while collaborating closely with technical teams to solve complex imaging challenges.

SenseAI Liverpool, Merseyside, United Kingdom

Hybrid Permanent

Spotlight

Director of Technology - AI

Lead the AI technology strategy and R&D portfolio at Digital Catapult, shaping the future of AI through collaborative research with academia and industry. Drive innovation in emerging areas like agentic AI and AI assurance, while mentoring technical teams and influencing national policy. The role combines strategic leadership with hands-on engagement in technology translation and horizon scanning across the UK’s deep tech ecosystem.

Digital Catapult Bristol, County Of Bristol, United Kingdom £110,000 – £130,000 pa

Hybrid Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed, profiling deep learning workloads, and removing bottlenecks for NVIDIA's Cosmos platform, which accelerates physical AI development for autonomous vehicles, robots, and video analytics AI agents.

NVIDIA United Kingdom £221,250 – £507,000 pa

Hybrid Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.

NVIDIA £221,250 – £507,000 pa

Hybrid Permanent

Machine Learning Engineer

As a Machine Learning Engineer, you will work closely with Data Scientists, Simulation Engineers, and customers to understand and solve complex engineering and physics challenges. You will design, build, and test reliable and scalable ML data pipelines, manipulate 3D point cloud and mesh data, and create reusable libraries and tools. The role involves significant customer interaction and on-site collaboration, requiring strong problem-solving and communication skills.

PhysicsX North Tyneside, NE29 8EP, United Kingdom

On-site Permanent Clearance Required

Machine Learning Engineer

As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates to customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will drive technical decisions, mentor team members, and travel to customer sites to build solutions on-site, ensuring practical and impactful outcomes.

PhysicsX United Kingdom

Hybrid Permanent

Machine Learning Engineer (ML and Computer Vision)

Develop and deploy production-grade computer vision models for real-time image and video analysis in operational environments. Work across the full lifecycle of model development, from dataset curation and synthetic data generation to optimisation and deployment on cloud and edge platforms. Collaborate with a multidisciplinary AI team to solve challenging real-world problems using deep learning.

Matchtech Surrey, United Kingdom

Hybrid Permanent

Machine Learning Engineer, ADAS

Train, debug, and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling and 3D reconstruction, to enhance model performance. Collaborate to address real-world driving challenges with a focus on measurable impact and shipping.

Wayve London, United Kingdom

Hybrid Permanent

Principal Machine Learning Engineer

The role involves developing and optimizing machine learning models for personalized recommendations, working with large-scale data pipelines, and deploying models in production. You will collaborate with data scientists, engineers, and product managers to enhance the Machine Learning Platform and drive innovation in recommendation systems.

Sky Tw75Qd, TW7 5QD, United Kingdom

On-site Permanent

Senior Machine Learning Engineer (Recommendation)

This role involves developing and optimizing machine learning models for personalized content recommendations, working with large-scale data pipelines, and deploying models in production. The successful candidate will collaborate with cross-functional teams to enhance the Machine Learning Platform and drive innovation in recommendation systems.

Sky Tw75Qd, TW7 5QD, United Kingdom

On-site Permanent

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-driven drug discovery systems by designing risk frameworks, protecting machine learning artifacts, and implementing security controls across AI infrastructure. The engineer will lead incident response for AI-specific threats, enforce compliance with global regulations, and develop safety protocols for autonomous agentic workflows and large language models within a high-stakes scientific environment.

Isomorphic Labs United Kingdom

Hybrid Permanent

Machine Learning Fellow - Human Frontier Collective (UK)

As an HFC Fellow, you will collaborate on high-impact AI projects, design and optimize PyTorch models, and contribute to research publications. You'll join a global network of experts, set your own flexible schedule, and engage in cutting-edge AI research and development.

Scale AI United Kingdom

Remote Contract Flexible

AI Engineer

This role involves building and improving AI features using Python, creating proof of concepts, and integrating AI into a customer-facing product that helps users complete financial journeys. The focus is on practical AI application, security, and collaboration with a growing fintech company.

SF Partners B12Jt, B1 2JT, United Kingdom £60,000 – £70,000 pa

Hybrid Permanent Flexible

Founding Engineering - Top London Software House

This role involves architecting and building core technology from the ground up as a founding engineer in a high-growth startup environment. The engineer will solve complex technical challenges, make key decisions across infrastructure and product development, and shape the company's technical direction. Emphasis is on rapid iteration, system scalability, and ownership across the full stack.

IT Graduate Recruitment London, United Kingdom £60,000 pa

On-site Permanent

ML Research Engineer, London

This role involves working in a highly creative, iterative environment to advance foundational AI models for drug design. You will collaborate with scientists and engineers, implement and optimize state-of-the-art ML models, and contribute to the development of innovative solutions in computational biology and chemistry.

Isomorphic Labs London, United Kingdom

On-site Permanent

Lead Learning Engineer

Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...

Faculty AI London, United Kingdom

Hybrid Permanent

Machine Learning Engineer, Platform

This role involves building and optimizing retrieval and knowledge representation systems for a generative AI platform. The engineer will design RAG pipelines, develop context retrieval systems balancing performance metrics, and create evaluation frameworks to measure retrieval quality and agent effectiveness. Work includes integrating ML components with enterprise data sources and vector databases while collaborating across product and infrastructure teams.

Scale AI London, United Kingdom

Hybrid Permanent