Latest machine learning engineer Jobs

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

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

[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

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

AI, Data & ML Platform Engineering Opportunities

This role involves working on a large-scale, modern technology environment, designing, building, governing, and operating data and ML platforms. Opportunities span architecture, engineering, security, operations, and service delivery, catering to both hands-on technical specialists and experienced leaders.

Experis United Kingdom £400 – £500 pd

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data. Work closely with stakeholders to translate R&D into production solutions, using advanced neural networks like LSTMs, RNNs, and Transformers. Operate in a collaborative, innovation-driven environment with strong support for professional growth and technical excellence.

Capital One Loughborough, Leicestershire, LE11 2QG, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems using non-traditional and multi-modal data. Design and train neural networks such as LSTMs, RNNs, and Transformers, bridging research with production deployment. Collaborate with stakeholders to drive data science initiatives from prototype to impact, while mentoring junior team members and shaping technical direction.

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom

Software Engineer

The Software Engineer will work on the complete development lifecycle of flight safety and navigation systems, from concept and algorithm design to system integration and testing. You will collaborate with a multidisciplinary team to deliver high-performance solutions, maintain high-quality code, and produce comprehensive documentation.

Flarebright Bicester, Oxfordshire, United Kingdom £39,000 – £49,000 pa

On-site Permanent Clearance Required

Data Engineer

This role involves designing, architecting, and managing complex research data pipelines for AI and algorithm development in a high-performing R&D team. Responsibilities include end-to-end data lifecycle management, scalable data infrastructure, and collaboration with cross-functional teams to drive innovation in patient monitoring technologies.

Medtronic Edinburgh, Alba / Scotland, United Kingdom £76,800 – £115,200 pa

On-site 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

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

AI Forward Deployed Engineer - London

The AI Forward Deployed Engineer role involves developing cutting-edge GenAI solutions, rolling out production-grade applications, and serving as a technical advisor to customers. You will collaborate with product and engineering teams to shape strategic priorities and present at industry conferences.

Databricks London, United Kingdom

Software Engineer, Agent Infrastructure

This role involves building and scaling systems to train highly capable AI agents and deploying them to millions of users. You will work closely with researchers and product teams, optimizing infrastructure for large-scale machine learning and developing novel solutions for agentic models.

OpenAI London, United Kingdom

Permanent

Modelling Engineer

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