Latest ai analyst Jobs

Platform Engineer (DevOps / MLOps Focus)

This role involves designing and maintaining cloud-native infrastructure and Kubernetes environments to support large-scale AI and machine learning workloads. You'll use Terraform for Infrastructure as Code and collaborate closely with engineering and data science teams to optimise deployment workflows and platform performance. The position focuses on building scalable, secure, and observable platforms for AI in a high-visibility environment.

The Portfolio Group London, United Kingdom £100,000 pa

Hybrid Permanent

Electrical Engineer

This role involves electrical design for custom machinery or complex facilities, depending on the candidate's background. Responsibilities include schematics, calculations, cabinet and panel design, LV distribution, and reviewing and assessing designs. The engineer will also contribute to the company's AI platform and work directly with clients on project delivery.

Searchability Oxfordshire, United Kingdom £35,000 – £70,000 pa

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

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows on NVIDIA platforms. Responsibilities include CUDA performance optimization, profiling, and working with customer and partner engineering teams to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable multi-GPU solutions. Work includes deep technical engagement on performance, memory, and concurrency across complex scientific computing pipelines.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing Energy simulation and AI workloads on NVIDIA GPUs, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune multi-GPU, multi-node HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable performance improvements on real-world production workflows.

NVIDIA

Remote Permanent

Research Scientist - Large Geometry Models

This role involves owning a research work-stream focused on 3D geometry representation and generation, designing and training generative models, and working with ML and simulation engineers to solve complex engineering challenges. You will also champion research directions and mentor junior colleagues.

PhysicsX London, United Kingdom

Senior Software Engineer

This role involves owning the full application and integration layer for AI-powered products, with responsibilities spanning backend services, API design, MCP integrations, agent-to-agent connectivity, and frontend development using React and TypeScript. The engineer will build scalable, secure, and observable systems that bridge AI capabilities with end-user and internal product interfaces. A strong focus is placed on architectural ownership, AI-specific UX patterns, and robust integration across distributed systems.

The Portfolio Group London, United Kingdom £90,000 pa

Python Engineer

You will engineer Python backend services and APIs using FastAPI, design and integrate LLM capabilities, and build practical RAG and document intelligence solutions. You'll work with multidisciplinary teams to translate operational problems into secure, reliable AI-driven services.

Ncounter London, United Kingdom £90,000 – £100,000 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