Latest deep learning engineer Jobs

Spotlight

Data Engineer - Level 5 Coach - Fully Remote

This role involves coaching and mentoring working professionals through a Level 5 Data Engineering apprenticeship programme, helping them develop technical and professional skills in data engineering. You'll deliver 1:1 coaching, lead workshops, and guide learners in building secure, scalable data solutions using modern cloud platforms and tools. The position blends deep technical expertise with teaching and mentorship, focused on real-world application and ethical data practices.

Corndel London, United Kingdom

Remote Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, specifically within NVIDIA's Cosmos World Foundation Models. The engineer will profile and analyze workloads to eliminate bottlenecks, working at the intersection of deep learning and systems optimization. Collaboration with research scientists, software engineers, and hardware experts is central to advancing production-grade physical AI systems for applications like autonomous vehicles and robotics.

NVIDIA United Kingdom PLN 221,250 – PLN 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, particularly within NVIDIA's Cosmos World Foundation Models. The engineer will work at the intersection of deep learning and systems optimization, profiling and accelerating workloads across diverse GPU architectures. Collaboration with research scientists, software engineers, and hardware teams is central to bringing generative AI models into production for applications in autonomous vehicles, robotics, and video analytics.

NVIDIA PLN 221,250 – PLN 507,000 pa

Hybrid Permanent

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using technologies like PyTorch, Kubeflow, and fastAPI. Frequent international travel is required for on-site collaboration.

PhysicsX United Kingdom

Hybrid Permanent

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 with a balance of online (in-car) and offline (data generation) work in a fast-paced, product-driven environment.

Wayve London, United Kingdom

Hybrid Permanent

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

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

Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising model performance under strict runtime constraints such as latency, memory, and power. The engineer will apply techniques like quantisation and distillation, work closely with performance and inference teams, and ensure models meet on-vehicle deployment requirements. The position emphasizes hands-on iteration in PyTorch and cross-functional collaboration in a high-ownership environment.

Wayve London, United Kingdom

Hybrid Permanent

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.

Isomorphic Labs United Kingdom

Hybrid Permanent

Machine Learning Fellow - Human Frontier Collective (UK)

This role involves collaborating on high-impact machine learning projects, evaluating and optimizing PyTorch models, and contributing to AI research publications. Fellows work remotely on flexible schedules, engaging with cutting-edge generative AI systems and interdisciplinary experts. The position emphasizes research, model interpretation, and advancing responsible, human-centered AI through technical evaluation and publication.

Scale AI United Kingdom

Remote Contract Flexible

Unreal Engine Developer - Synthetic Data / AI

Develop and scale Unreal Engine 5 applications to generate synthetic imagery for training AI and computer vision models. Collaborate with AI researchers and engineers to automate rendering workflows, improve scene generation, and build production-grade software for secure deployment. Work across technical and non-technical teams to create intuitive tools for scalable synthetic data pipelines.

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

Senior Machine Learning Research Engineer

Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.

Relation Therapeutics London, United Kingdom

Permanent

ML Research Engineer, London

Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work closely with scientists to build predictive and generative models using advanced deep learning techniques, with a focus on innovation in computational biology and chemistry. Contribute to a collaborative, interdisciplinary team advancing a digital biology platform for transformative medicine development.

Isomorphic Labs London, United Kingdom

On-site Permanent

Forward Deployed Engineer – AI Engineer

This role involves rapidly prototyping and delivering advanced AI solutions—particularly in GenAI, RAG, and agentic workflows—by working closely with business teams and delivery pods. The engineer designs, builds, and hardens production-viable AI systems, focusing on safety, evaluation, efficiency, and reuse. Emphasis is placed on end-to-end ownership, from discovery to handover, ensuring solutions are secure, scalable, and aligned with enterprise standards.

PRACYVA United Kingdom £350 – £400 pd

Machine Learning Engineer, Platform

This role involves building and owning end-to-end machine learning components within a generative AI platform, with a focus on retrieval systems, knowledge representation, and RAG pipelines. The engineer will design and implement systems for knowledge retrieval, vector indexing, and context engines that power enterprise AI agents. Work includes developing evaluation frameworks, integrating with enterprise data sources, and collaborating across ML, product, and infrastructure teams to deliver high-impact AI solutions.

Scale AI London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Work across the full ML lifecycle, from scalable architecture design to operationalisation, using cloud platforms and containerisation tools. Collaborate with cross-functional teams to deliver ethical, reliable AI solutions in real-world environments.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required