Latest Deep Learning Jobs

Senior Software Engineer, RL Post-Training Frameworks

Design and scale reinforcement learning post-training infrastructure that integrates training, inference, and rollout across heterogeneous hardware. Work on open-source RL frameworks and distributed runtimes while collaborating with AI researchers and hardware teams to optimize performance and system resilience at scale.

NVIDIA Germany

Remote Permanent

Senior Software Engineer, RL Post-Training Frameworks

Architect and build scalable reinforcement learning post-training infrastructure that integrates training, inference, and rollout across heterogeneous hardware. Work across the full stack—from deep learning frameworks to distributed runtimes—optimizing performance and reliability for large-scale AI workloads. Collaborate with researchers, framework teams, and hardware partners to enable next-generation AI capabilities.

NVIDIA

Remote Permanent

Senior Computer Vision Data Scientist

Develop and deploy computer vision models for predictive maintenance in industrial settings, combining inspection imagery with operational and physics-based data to forecast component lifespan. Focus on building interpretable, production-grade systems that integrate with enterprise environments and support engineering decision-making under real-world constraints like sparse or noisy data.

PhysicsX England £120,000 pa

On-site Permanent

Senior Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

Applied AI Engineer, Global Public Sector

Build and deploy end-to-end AI applications for public sector clients, leveraging cutting-edge models and open-source tools. Collaborate with cross-functional teams to create high-quality training datasets and evaluation frameworks. Engage in customer projects with occasional travel, focusing on real-world AI impact at scale.

Scale AI United Kingdom

Hybrid Permanent

Data Automation & AI Lead

Lead the development and adoption of data, AI, and automation systems across a global organisation, overseeing a distributed team and driving centralised solutions. Define roadmaps for trusted data foundations, governance, and scalable AI platforms while partnering with stakeholders to deliver analytics and machine learning capabilities. Provide technical and strategic leadership in cloud data services, security, and emerging AI technologies.

Michael Page Technology Birmingham, United Kingdom

Anthropic Fellows Program

A 4-month, full-time fellowship program offering mentorship and funding for technical talent to conduct empirical AI research aligned with Anthropic’s priorities in AI safety, security, systems, reinforcement learning, or policy. Fellows work on a project with the goal of producing a public output such as a research paper, supported by Anthropic researchers and access to compute resources.

Anthropic United Kingdom

Staff Research Engineer - Multimodal Generative Modelling

This role involves developing advanced multimodal generative models that enable natural, real-time conversational interactions by integrating text, voice, and video. The engineer will lead research and implementation of low-latency, emotionally expressive AI systems, working across pretraining, post-training, and production deployment. Key focus areas include neural codecs, diffusion models, and streaming architectures to enhance realism and interactivity in Synthesia's AI video platform.

Synthesia London, United Kingdom

Remote Permanent

Machine Learning Ops Engineer

This role involves designing, building, and deploying machine learning models in Azure Machine Learning Studio to support actuarial and analytics teams in a pensions and insurance context. The engineer will manage the full MLOps lifecycle, including model monitoring, retraining pipelines, and integration with data workflows using Azure Data Factory and CI/CD practices. A key focus is ensuring model reliability and translating technical outputs into actionable business insights for both technical and non-technical stakeholders.

Proactive Appointments London, United Kingdom £45,000 – £60,000 pa

Remote Permanent

Machine Learning Scientist

We’re Aioi R&D Lab – an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future.We’re looking for dynamic,...

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £55,934 – £83,386 pa

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

Senior Machine Learning Engineer

Lead the development and deployment of cutting-edge, production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, define best practices for ML deployment, and act as a technical advisor while mentoring junior engineers. Work in a cross-functional environment with strong emphasis on ethical, reliable AI and client collaboration.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

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

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.

Faculty London, United Kingdom

Hybrid Permanent

Machine learning Engineer

This role involves building and deploying production-grade machine learning systems for diverse clients, translating research into real-world applications. You'll work across the full ML lifecycle, design scalable software architectures, and collaborate with cross-functional teams to deliver impactful AI solutions. The position emphasizes technical leadership, cloud infrastructure, and best practices in ML deployment.

Faculty London, United Kingdom

Hybrid Permanent