Latest AI Engineer Jobs

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Principal Solutions Architect - Aerospace & Defense

This role involves leading business development and technical delivery for an AI-driven simulation platform within the Aerospace & Defense sector. The Principal Solutions Architect will engage with senior engineering and manufacturing leaders to identify opportunities, shape go-to-market strategy, and drive customer adoption, while also translating field insights into product feedback. It combines strategic account management with hands-on project leadership in a high-impact, deep-tech environment.

PhysicsX England US$175,000 – US$250,000 pa
Hybrid Permanent Clearance Required
PhysicsX logo

Content & Communications Strategist

This role involves crafting and delivering compelling narratives that translate complex technical work in AI and engineering into accessible content for diverse audiences. You'll shape the company's voice across digital platforms, events, and internal communications, collaborating closely with engineers and leadership to build credibility and support talent acquisition. Success requires blending storytelling skill with technical fluency in a fast-paced, high-impact environment.

PhysicsX London, United Kingdom
Hybrid Permanent
NVIDIA logo

Senior Software Engineer, RL Post-Training Frameworks

This role involves designing and building scalable reinforcement learning post-training infrastructure that supports the full lifecycle of RL workflows, from experimentation to production at scale. The engineer will optimize distributed training-inference-rollout loops across heterogeneous hardware, contribute to open-source RL frameworks like VeRL and TorchTitan, and collaborate with research and hardware teams to shape future AI capabilities. Key challenges include fault tolerance, elastic scaling, and efficient coordination of actor-critic-reward models in complex distributed environments.

Remote Permanent
Wayve logo

Senior Software Engineer, Cloud, Simulation

This role involves developing and enhancing Wayve’s simulation platform for autonomous driving, focusing on high-fidelity robot emulation, visual realism, or scalable cloud infrastructure. The engineer will integrate machine-learned graphics and robotic systems into production-grade Python systems, working closely with research, robotics, and data teams. The position emphasizes technical leadership in building accurate, scalable simulations that support AI-driven vehicle development.

Wayve London, United Kingdom
Hybrid Permanent
Wayve logo

Staff ML Engineer, Gaia

Lead the development and scaling of Gaia, Wayve’s video world model that predicts future driving scenarios from past context. Drive large-scale training of foundation models, improve synthetic scenario generation, and collaborate with research and engineering teams to enhance autonomous driving systems. Focus on model architecture, training strategy, and end-to-end delivery in a high-impact, fast-paced environment.

Wayve London, United Kingdom
Hybrid Permanent
Luminance logo

Technical Support Engineer

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance London, United Kingdom
Hybrid Permanent
Luminance logo

Senior Application Engineer

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance Cambridge, 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
Fractile logo

Modelling Engineer (Mid-Level and Senior)

Develop pre-silicon software models for AI accelerator hardware to support architecture design, performance evaluation, and early software development. Work closely with hardware, software, and ML teams in a collaborative co-design environment. Models will inform product design and enable verification prior to fabrication.

Fractile London, United Kingdom
Fractile logo

Modelling Engineer (Mid-Level or Senior)

Develop pre-silicon software models of AI accelerator hardware to support architecture design, performance analysis, and early software development. Work collaboratively across hardware, software, and machine learning teams using a co-design methodology. Contribute to the development of high-performance computing solutions for large language models.

Fractile Bristol, United Kingdom

Forward Deployed Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Develop scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle from prototyping to deployment using modern cloud and containerisation technologies.

Faculty London, United Kingdom
Permanent
NVIDIA logo

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA Germany

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

Research Engineer, Machine Learning (RL Velocity)

This role involves building and optimizing the machine learning infrastructure that supports Anthropic’s reinforcement learning research. You'll work closely with researchers to improve training efficiency, debug performance bottlenecks, and develop tooling that accelerates model development. The position focuses on high-leverage platform improvements that scale across the entire research team.

Anthropic London, United Kingdom £370,000 – £630,000 pa

Automation Engineer

Design and build automation solutions by identifying inefficiencies and transforming manual processes into scalable workflows. Combine low-code platforms with custom Python or JavaScript code, integrate AI via APIs, and collaborate with non-technical stakeholders to deliver end-to-end automation across business operations.

Goodlord E11Ew, United Kingdom