Latest Deep Learning Engineer Jobs

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers and customers to solve complex physics and engineering challenges using AI. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. Engineers will also travel to customer sites globally to implement solutions on-site, ensuring practical, impactful delivery across industries like aerospace, energy, and semiconductors.

PhysicsX England £150,000 – £190,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to develop AI-driven solutions for engineering and manufacturing challenges. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. The position requires strong software engineering practices and customer-facing delivery, with opportunities for international travel.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Hybrid Permanent Clearance Required

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Machine Learning Engineer, ADAS

Train 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. Focus on real-world impact by iterating on detection, classification, and segmentation for lanes, objects, and traffic infrastructure.

Wayve London, United Kingdom

Hybrid Permanent

W

Machine Learning Engineer, Driving Product

Develop and train end-to-end AI driving models for Level 2 to Level 4 automated driving systems, with ownership across the full lifecycle from data curation to on-road validation. Work on model architecture, training algorithms, and iteration planning to deliver production-grade embodied AI for real-world deployment in vehicles. Collaborate in high-ownership teams to ship intelligent, mapless driving solutions with direct impact on commercial products like Nissan integration and Robotaxi.

Wayve United Kingdom

Unreal Engine Developer - Synthetic Data / AI

Develop and scale Unreal Engine 5 applications to generate high-quality synthetic imagery for training and validating AI and computer vision models. Collaborate with AI researchers, 3D artists, and engineers to automate complex scene generation workflows involving lighting, weather, and camera systems. Transform research prototypes into robust, production-grade software with CI/CD integration and support deployment in secure environments.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £55,000 – £70,000 pa

Deep Learning Researchers / Engineers- Sophisticated Prop Trading Firm

This role involves building a cutting-edge deep learning platform for a prop trading firm, focusing on neural networks, transformers, and LLM-driven research. You'll work in a greenfield environment with significant autonomy to shape the research stack and contribute to multi-modal modelling and modern NLP systems.

eFinancialCareers London, United Kingdom

On-site Permanent

Senior Machine Learning Research Engineer

This role involves building and scaling generative and predictive machine learning models for cellular behaviour using multi-omic and interventional biological data. The engineer will implement large neural networks, optimise distributed training and inference pipelines, and collaborate closely with ML scientists and biologists to translate research into production-grade systems. Work focuses on robust infrastructure development, performance optimisation, and integrating cutting-edge ML tooling within an interdisciplinary team.

Relation Therapeutics London, United Kingdom

Permanent

Machine Learning Engineer Modelling

Develop advanced mathematical and machine learning models for complex industrial and scientific systems, integrating first-principles physics with AI techniques. Work across the full modelling lifecycle using large-scale sensor and operational data to build predictive digital representations of physical processes. Operate in a high-autonomy role with direct influence on technology strategy and product direction within a mission-driven deep-tech team.

Newton Colmore Guatemala

Hybrid Permanent

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Machine Learning Engineer / ML Engineer - Roleplay Sessions

Develop and enhance the AI engine powering interactive roleplay training, focusing on real-time speech analysis, performance scoring, feedback generation, and dynamic avatar responses. Work at the intersection of applied machine learning and product development within a high-impact AI video platform. Collaborate closely with engineering and product teams to deliver scalable, user-centric AI solutions.

Synthesia London, Europe, United Kingdom

Permanent

Machine Learning Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Work across the full ML lifecycle, from prototyping to scalable deployment, using cloud infrastructure and modern MLOps practices. Collaborate with cross-functional teams to deliver secure, reliable AI solutions that solve real-world challenges.

Faculty London, United Kingdom

Hybrid Permanent

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable machine learning systems within high-stakes defence projects. You'll act as a technical authority, solving cross-cutting challenges, shaping architectural strategy, and mentoring engineering teams. The work combines advanced AI innovation with real-world deployment in secure, mission-critical environments.

Faculty London, United Kingdom

Hybrid Permanent

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, using non-traditional data sources and advanced neural networks. Work closely with stakeholders to translate R&D into production solutions, while mentoring junior data scientists and shaping technical direction. Focus on time series, NLP, and multi-modal data using PyTorch, TensorFlow, or Transformers.

Capital One Nottingham, Nottinghamshire, United Kingdom