Latest Deep Learning Engineer Jobs

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Principal Machine Learning Engineer

Develop and deploy machine learning models integrated with engineering simulation data, focusing on scalable pipelines and real-world deployment in high-fidelity physics environments. Work directly with customers to translate AI research into production-grade tools, using 3D data, time-series forecasting, and optimization models. Lead technical architecture, mentor teams, and travel on-site to support implementation across aerospace, energy, and advanced manufacturing sectors.

PhysicsX United Kingdom

Hybrid Permanent

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Machine Learning Engineer, Performance Tooling

Builds performance analysis tools to optimize AI models across the full stack, from compilers to hardware. Measures, predicts, and advises on latency, throughput, and compute efficiency using profiling data. Works cross-functionally with model, runtime, and hardware teams to drive data-informed performance decisions.

Wayve United Kingdom

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Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising for real-world constraints like latency and memory. The engineer will collaborate closely with performance and inference teams to deliver efficient, deployable models for autonomous driving systems, using techniques such as quantisation and distillation. The position emphasizes hands-on iteration in PyTorch and cross-functional delivery in a high-ownership environment.

Wayve London, United Kingdom

Senior 3D Artist - Unreal Engine / Synthetic Data

Create high-fidelity 3D environments and digital assets in Unreal Engine to generate synthetic data for training AI and machine vision systems. Work within a multidisciplinary team to build realistic, real-time simulations of terrain, vehicles, and infrastructure, optimised for performance and accuracy. Focus on technical precision, automation, and integration with AI pipelines for defence and security applications.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £45,000 – £60,000 pa

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers. Translate AI research into robust, real-world applications for defence and security environments. Work across the full development lifecycle, from research to deployment on cloud and edge platforms.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa

Hybrid Permanent Clearance Required

Lead Machine Learning Engineer

Lead Machine Learning Engineer to define technical direction for complex AI projects, design scalable ML systems, and guide delivery across high-risk, ill-defined environments. Will lead architectural decisions, mentor engineers, develop reusable tools, and act as a technical advisor to clients in regulated sectors. Focus on operationalising models using Python and major cloud platforms with containerised deployment via Docker and Kubernetes.

Faculty AI London, United Kingdom

Hybrid Permanent

Principal Machine Learning Engineer

This role involves leading the technical direction of high-impact AI projects, particularly within financial services, by designing scalable machine learning systems and providing expert guidance across teams and clients. The engineer will architect complex data science frameworks, solve cross-cutting technical challenges, and influence company-wide strategy. Emphasis is placed on robust, production-grade AI solutions and advancing technical excellence in regulated environments.

Faculty AI London, United Kingdom

Hybrid Permanent

Lead Machine Learning Engineer - Retail

Lead Machine Learning Engineer to define technical direction and deliver complex AI solutions for retail clients. Design scalable ML systems, mentor engineering teams, and drive innovation through reusable tools and cloud-native architectures. Work in high-risk, ambiguous environments to solve real-world business problems with responsible AI.

Faculty London, United Kingdom

On-site Permanent

Lead Machine Learning Engineer

Leads the technical direction of complex AI/ML projects, designing scalable production systems and guiding engineering teams in high-risk environments. Focuses on building robust ML infrastructure, CI/CD pipelines, and deploying AI platforms for government and public sector clients. Provides architectural leadership and mentors engineers while driving innovation in responsible AI.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

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

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, using advanced neural networks on structured and unstructured data. Translate research into production solutions while mentoring team members and collaborating with stakeholders. Work across the full lifecycle from prototyping to scalable implementation in a hybrid office environment.

Capital One Mansfield, Nottinghamshire, United Kingdom

Machine Learning Modeling Lead - DTG Capital Markets

This role involves leading the development and deployment of machine learning models that power the firm's trading systems. Responsibilities include setting the long-term vision for the model portfolio, designing training pipelines, building explainability tools, and mentoring a team of ML researchers. The position requires deep expertise in modern ML methods, real-time systems, and quantitative finance.

eFinancialCareers London, United Kingdom

Remote Permanent

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on NVIDIA's next-generation GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance compiler frameworks and enable high-performance AI deployment at scale. Work spans MLIR-based tooling, deep learning performance, and datacenter-scale optimization.

NVIDIA Cambridge, United Kingdom

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations tailored to NVIDIA's GPUs. You'll work at the intersection of hardware and software, collaborating with experts to co-design future silicon and optimize datacenter-scale AI deployments. The position demands deep expertise in compiler design, MLIR, and performance optimization in high-performance computing environments.

NVIDIA United Kingdom