Latest Deep Learning Engineer Jobs

CFD Engineer

This role involves building and running high-fidelity CFD simulations for real-world engineering problems across aerospace, energy, and advanced manufacturing sectors. The engineer will work closely with data science and machine learning teams to generate datasets for AI training, automate simulation workflows, and support customer integrations using tools like Star-CCM+, OpenFOAM, or Fluent. The position blends hands-on CAE modelling with AI-driven innovation in a collaborative, interdisciplinary environment.

PhysicsX United Kingdom

Principal Data Scientist / Algorithm Engineer

This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing contexts. The Principal Data Scientist will lead the design of deep learning and optimisation methods, preprocess complex engineering data, and integrate models into production-ready pipelines. Working closely with simulation engineers and customers, the role emphasizes technical leadership, on-site collaboration, and mentoring, with significant influence on product development and AI model deployment across aerospace, energy, semiconductors, and other advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated HPC and AI workflows for energy applications such as seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune CUDA applications, develop reference implementations, and collaborate with customers and internal teams to deliver performance improvements on multi-GPU and multi-node systems. Work includes deep performance analysis, benchmarking, and contributing to future NVIDIA product development through reusable code and libraries.

NVIDIA

Remote Permanent

Senior High-Performance Storage Engineer

This role involves deploying, managing, and validating high-performance storage infrastructure within AI Factory environments running on Linux. The engineer will act as a technical expert during customer engagements, from planning through implementation, while also contributing to system design, automation, and performance validation. Key responsibilities include troubleshooting, performance optimization, documentation, and providing feedback to internal teams to improve products and workflows.

NVIDIA

Senior AI Engineer

This role involves leading the strategy, design, and implementation of AI and ML solutions across the firm, managing a technical team, and integrating AI systems into existing platforms. The Senior AI Engineer will work closely with business stakeholders and enterprise architecture to deliver scalable, secure AI solutions and drive continuous improvement. Responsibilities include full lifecycle AI development, mentoring engineers, and overseeing third-party providers.

A&O Shearman Ballyclare, County Antrim, United Kingdom

Senior AI Engineer

The Senior AI Engineer will lead the technical strategy and implementation of AI and machine learning solutions across the firm, managing both internal teams and external providers. This role involves full lifecycle ownership of AI systems, from model development to deployment and integration, while ensuring alignment with enterprise architecture and business outcomes. The position requires close collaboration with stakeholders, mentorship of engineering staff, and continuous innovation in scalable AI platforms.

A&O Shearman Banbridge, County Down, United Kingdom

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

Performance Engineer (Junior) | AI Infrastructure | Cambridge

This role involves working alongside senior engineers to build performance models and calculators for AI infrastructure, predicting the efficiency and cost-effectiveness of different setups. You'll work with real metrics from live training and inference jobs, using your strong background in computer architecture and experience with GPU code and profiling tools.

Pure Resourcing Solutions Dry Drayton, Cambridgeshire, United Kingdom £55,000 – £70,000 pa

Hybrid

Platform Engineer

Design and build secure, scalable cloud infrastructure to support AI and ML workflows in cross-functional teams. Enable data scientists and ML engineers through reusable infrastructure-as-code and best practices. Work with clients to implement cutting-edge solutions using modern DevOps and cloud technologies.

Faculty London, United Kingdom

Hybrid Permanent

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

Performance Engineer (Junior) | AI Infrastructure | Cambridge |

This role involves working alongside senior engineers to build performance models and calculators that predict the efficiency and cost-effectiveness of AI infrastructure changes. You'll analyze real metrics from live training and inference jobs, providing insights on optimizations and cost savings. The position offers early career professionals with a strong academic background the chance to apply their knowledge in a collaborative, well-backed environment.

Pure Resourcing Solutions Cb238Sl, United Kingdom £55,000 – £70,000 pa

Hybrid

Postdoctoral Research Associate in Machine Learning for Cardiovascular Digital Twins

This role involves developing patient-specific models using machine learning to predict disease states and treatment responses for cardiovascular digital twins. The postholder will work with multimodal clinical, physiological, imaging, and sensor data to enhance precision treatment.

Queen Mary University of London London, United Kingdom £38 – £51 pa

Contract

Data Engineering Lead - AI & Data Automation

Lead the development and implementation of enterprise-wide data, AI, and automation capabilities, overseeing a distributed team of developers. Drive strategic initiatives including data governance, trusted data foundations, and centralised AI solutions. Provide technical leadership across data architecture, security, and emerging technologies while mentoring team members and enabling business adoption through collaboration and training.

Michael Page Birmingham, West Midlands (county), United Kingdom

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