Latest machine learning engineer Jobs

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

Senior Applied Engineer

Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Senior Software Test Engineer

A Senior Software Test Engineer will lead quality assurance efforts within a cross-functional team, designing and developing automated test frameworks for web, backend, and mobile products built on microservices and machine learning. The role involves mentoring team members, improving CI/CD pipelines, and championing test culture using tools like Playwright, Cypress, and k6. The engineer works closely with product and engineering to define acceptance criteria and drive quality improvements across the development lifecycle.

Entrust

Staff Software Engineer, Inference

This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.

Anthropic London, United Kingdom £325,000 – £390,000 pa

[Expression of Interest] Research Engineer / Scientist, Alignment - London

Conduct experimental research on AI safety, focusing on alignment and robustness of advanced systems. Develop and test techniques like AI debate and jailbreak evaluation, contributing to publications and safety policy. Work in a collaborative, interdisciplinary team using machine learning and systems engineering.

Anthropic London, United Kingdom

Hybrid Permanent

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

Data & AI Engineer

Design and build scalable data pipelines and AI solutions on Snowflake and Azure platforms, supporting analytics and machine learning workloads. Collaborate with technical and non-technical stakeholders to implement best practices in data engineering and drive adoption of generative AI technologies. Work within Agile frameworks to continuously improve data platform performance and support MLOps and governance standards.

Hastings Insurance Services Bexhill-on-Sea, TN39 3JX, United Kingdom

Senior Golang Engineer - AI Products & Platforms - Citi

This role involves designing and building AI-powered products and platforms using Golang within Citi's high-growth AI Product & Platform team. You'll develop scalable backend services and cloud-native microservices, collaborate with AI specialists, and contribute to developer tools and frameworks. The position emphasizes innovation in distributed systems, generative AI, and modern engineering practices in a start-up-like environment within a global financial institution.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Associate Professor or DTU Tenure Track Assistant Professor in AI-Driven Synthetic Biology and Biochemical Engineering

This role involves leading an independent research program at the intersection of synthetic biology, biochemical engineering, and AI. The candidate will integrate machine learning with experimental methods to engineer biological systems for applications in biotechnology, sustainability, and therapeutics. Emphasis is placed on interdisciplinary collaboration, securing external funding, and contributing to teaching and PhD supervision at DTU.

Technical University of Denmark Lyngby - Denmark, Europe, United Kingdom

Permanent

Full Stack Software Engineer

Build and scale AI-powered full-stack systems for global clients in regulated industries, collaborating with data scientists and product managers. Take ownership of frontend and backend architecture, turning machine learning outputs into production-ready solutions. Work in a technically rigorous environment focused on responsible AI deployment and long-term maintainability.

Faculty AI London, United Kingdom

Hybrid Permanent

Software Engineer

Design and operate scalable cloud infrastructure for AI and agentic systems, with a focus on model serving and production reliability. Build cloud-native solutions using GCP technologies and support scientists with robust, high-performance services. Work across the full software lifecycle in an agile environment alongside ML engineers and domain experts.

Experis London, United Kingdom £750 – £830 pd

Hybrid Contract

iOS Mobile Software Engineer II

Design and develop iOS SDKs for secure document capture and identity verification, focusing on high-quality image processing, accessibility, and seamless integration into customer applications. Collaborate with cross-functional teams in an agile environment to enhance mobile SDK performance and user experience across multiple platforms.

Entrust London, United Kingdom

Hybrid Permanent

Platform Engineer

This role involves building and maintaining the MLOps and deployment infrastructure that supports data science teams in transitioning machine learning models from exploration to production. The engineer will work across multiple cloud platforms, design containerised microservices architectures, and implement DevSecOps and infrastructure-as-code practices. Collaboration with customer-facing teams ensures platform solutions are scalable, secure, and effectively integrated into client environments.

Faculty AI London, United Kingdom

Hybrid Permanent

AI Engineer - FDE (Forward Deployed Engineer)

Design and deploy production-grade generative AI applications in close collaboration with customers and internal teams. Focus on implementing cutting-edge GenAI solutions such as RAG, multi-agent systems, and fine-tuned models using frameworks like LangChain and HuggingFace. Work across the full lifecycle from prototyping to deployment, leveraging cloud platforms and advising on best practices in LLMOps and MLOps.

Databricks United Kingdom

Remote Permanent