Latest AI Analyst Jobs

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 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.

NVIDIA

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

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

Relational Foundation Model Engineer, Modern Data Stack

You will design and experiment with novel Transformer and Graph Neural Network (GNN) architectures that generalize across diverse relational database schemas and heterogeneous graphs. The role involves full-cycle development—from model design and large-scale training to optimization and inference acceleration—focused on real-world applications like fraud detection, forecasting, and recommendation systems. This is a research-forward engineering role with direct impact on enterprise AI systems built atop a unified foundation model.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

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

NVIDIA

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—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.

NVIDIA

Senior Software Engineer 1 (MLOps)

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 £81,322 – £112,488 pa

Product Specialist Associate

This role involves working closely with prospective and existing customers to ensure a seamless integration of Luminance’s AI technology. Responsibilities include managing Proof of Values, providing expert advice, and designing custom workflows to meet specific client needs. The role offers the opportunity to build relationships with a diverse range of companies and support the sales process.

Luminance London, United Kingdom

Hybrid Permanent

Software Engineer, Model Deployment- ChatGPT Engineering

Design and build software to manage large-scale GPU infrastructure supporting ChatGPT inference workloads. Develop internal platforms, automation tools, and AI-powered agents to improve fleet observability, reliability, and operational efficiency across thousands of GPUs. Collaborate with research, platform, and systems teams to optimize compute utilization and scalability.

OpenAI London, United Kingdom

Hybrid Permanent

Response Squad Agent

Provide frontline technical support to customers by diagnosing and resolving straightforward issues, triaging more complex cases, and ensuring timely, clear communication throughout. Work closely with internal teams to escalate and track incidents, maintaining accurate records and contributing to process improvements. The role emphasizes responsiveness, customer focus, and efficient issue management within a fast-growing AI technology environment.

Luminance London, United Kingdom

Hybrid Permanent

Staff ML Performance Engineer (Compiler)

Optimise machine learning inference for edge accelerators and GPUs, focusing on efficient execution of large transformer models on low-power devices. Work across compilers, runtimes, kernels, and embedded deployment to deliver high-performance, reliable in-vehicle computing systems. Collaborate with model developers and contribute to technical roadmaps in an early-stage, high-impact environment.

Wayve London, United Kingdom

Embedded Automotive Platforms Software Engineer

Design and develop embedded software, SDKs, and hardware abstraction layers to enable autonomous driving systems to run consistently across diverse automotive platforms. Integrate core AV functions like inference, control, and localisation while minimising platform-specific customisation. Work across Linux and QNX systems, collaborating with hardware partners and cross-functional teams to ensure robust, scalable, and maintainable embedded solutions.

Wayve London, United Kingdom

Hybrid Permanent

Feature Owner, ADAS

As a Product Feature Owner for ADAS, you will take end-to-end responsibility for specific ADAS functionalities, ensuring they meet OEM requirements and align with internal capabilities. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards.

Wayve London, United Kingdom

On-site Permanent