Latest Deep Learning Jobs

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 enhance CUDA performance, develop reference implementations, and collaborate with customers and internal teams to deliver scalable multi-GPU and multi-node solutions. Work includes deep technical engagement on real-world energy simulation pipelines and contributing to future NVIDIA product development.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated energy simulation and AI workflows on NVIDIA platforms, with a focus on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. You'll work closely with customers and internal teams to profile, debug, and improve end-to-end performance across multi-GPU and multi-node systems. The position emphasizes hands-on development, benchmarking, and creating reusable code and reference implementations to drive scalable solutions in high-performance computing.

NVIDIA Switzerland

On-site Permanent

Senior AI Engineer

Lead the design and implementation of AI/ML solutions across the firm, from model development to deployment, while managing a technical team and external providers. Drive the AI technical strategy in alignment with enterprise architecture, ensuring scalable systems and delivering measurable business value. Mentor engineers, collaborate with stakeholders, and continuously improve AI capabilities using cloud platforms and modern development practices.

A&O Shearman Dunmurry, County Antrim, United Kingdom

Senior AI Engineer

This role involves leading the technical strategy and end-to-end delivery of AI and machine learning solutions within a global professional services firm. The Senior AI Engineer will design and implement scalable AI systems, manage a team of engineers, and collaborate with enterprise architecture and business stakeholders to align AI initiatives with business outcomes. The position requires deep expertise in ML development, cloud platforms, and AI frameworks, with a focus on innovation, governance, and integration across the firm’s technology landscape.

A&O Shearman Bangor, Ards And North Down, County Down, United Kingdom

Lead Learning Scientist

The role involves leading the development and application of learning science principles within AI-powered education systems, ensuring they are effective, safe, and grounded in evidence. You'll define best practices, design learning architectures, and evaluate impact across high-stakes projects like national infrastructure and AI tutoring. The position requires close collaboration with technical teams to translate pedagogy into buildable, scalable solutions.

Faculty London, United Kingdom

Permanent

Senior Machine Learning Engineer (Safety)

As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions in national security and global stability. You will design, build, and deploy scalable, production-grade ML software and infrastructure, ensuring rigorous operational and ethical standards. You will also mentor junior engineers and collaborate with cross-functional teams to solve critical client challenges.

Faculty London, United Kingdom

Permanent

Learning Technologist (SEND)

This role involves championing the success of SEND learners by ensuring the college's digital ecosystem is inclusive. Responsibilities include providing hands-on support, designing staff training, auditing materials, and contributing to inclusive policies. The role requires expertise in assistive technology and WCAG compliance.

RNN Group Rotherham, United Kingdom

Senior/Principal Machine Learning Scientist (Generative Modelling)

Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

Applied Scientist/Machine Learning Engineer Gaia

Develop next-generation generative world models for autonomous driving, focusing on real-time simulation, closed-loop training, and scalable deployment. Work on high-performance diffusion and transformer-based models to enable efficient, interactive, and physically faithful driving simulations. Integrate models into production systems and mentor research teams in a fast-paced AI environment.

Wayve London, United Kingdom

Staff Software Engineer - Machine Learning

This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.

Capital One Bunhill, London, United Kingdom

Hybrid Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves advancing reinforcement learning in large language models, focusing on developing agentic systems for computer use, code generation, and reasoning. The engineer will build scalable RL infrastructure, design training environments, and collaborate across research and engineering to implement safety and performance improvements at scale.

Anthropic London, United Kingdom £260,000 – £630,000 pa

Senior Forward Deployed Software Engineer

A Senior Forward Deployed Software Engineer at PhysicsX works directly with customers and internal teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers also contribute to the core platform by abstracting reusable components from customer solutions and shaping product direction.

PhysicsX England US$150,000 – US$250,000 pa

Hybrid Permanent

Staff Backend Software Engineer - GO & Python

Build and maintain a high-performance backend platform for AI-driven, multi-physics simulation used by data and simulation engineers. Work on scalable, observable systems in Python and Go, with ownership from development to production. Collaborate closely with domain experts in engineering and machine learning to enable physics-informed model deployment across aerospace, energy, and advanced manufacturing sectors.

PhysicsX London, United Kingdom

Program Manager

The Program Manager will lead the design, development, and implementation of advanced Agentic AI systems, collaborating with cross-functional teams to deliver innovative solutions. Responsibilities include conducting research, optimizing models, mentoring junior engineers, and staying updated with the latest AI trends.

Tech Mahindra United Kingdom £90,000 – £120,000 pa

Senior Architect – GCP , GenAI & Agentic AI

Design and lead the architecture of enterprise-scale AI/ML and Generative AI systems on Google Cloud Platform. Focus on production-grade LLM, Agentic AI, and RAG solutions with strong governance, security, and scalability. Drive technical standards and MLOps practices across the AI lifecycle.

PRACYVA United Kingdom £55 – £600 pd