Latest Machine Learning Engineer cambridge Jobs

Senior AI Engineer

Lead the design and implementation of AI/ML solutions across the firm, from model development to deployment, while managing a technical team and external providers. Drive the AI technical strategy in alignment with enterprise architecture, ensuring scalable systems and delivering measurable business value. Mentor engineers, collaborate with stakeholders, and continuously improve AI capabilities using cloud platforms and modern development practices.

A&O Shearman Dunmurry, County Antrim, United Kingdom

Senior AI Engineer

This role involves leading the technical strategy and end-to-end delivery of AI and machine learning solutions within a global professional services firm. The Senior AI Engineer will design and implement scalable AI systems, manage a team of engineers, and collaborate with enterprise architecture and business stakeholders to align AI initiatives with business outcomes. The position requires deep expertise in ML development, cloud platforms, and AI frameworks, with a focus on innovation, governance, and integration across the firm’s technology landscape.

A&O Shearman Bangor, Ards And North Down, County Down, United Kingdom

iOS Mobile Software Engineer II

This role involves developing and enhancing iOS SDKs for secure document capture as part of Entrust’s identity verification platform. The engineer will focus on building high-quality, accessible camera and image processing features using Swift, while collaborating with cross-functional teams to deliver a seamless end-user experience. Work includes SDK development, on-device machine learning integration, and improving test automation and CI/CD pipelines.

Entrust Portugal

Hybrid Permanent

Forward Deployed Software Engineer

Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate directly with customers and technical teams to prototype, deploy, and iterate on high-impact tools across aerospace, energy, and advanced manufacturing. Work across backend services, APIs, and cloud infrastructure while contributing to core platform development.

PhysicsX North Tyneside, NE29 8EP, United Kingdom US$150,000 – US$250,000 pa

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

Forward Deployed Software Engineer

Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate with data scientists and customers to develop, prototype, and deploy production-grade tools using Python, FastAPI, and cloud infrastructure. Work across industries such as aerospace, energy, and semiconductors, with opportunities for international travel to support on-site customer deployments and iterate on solutions based on direct user feedback.

PhysicsX United Kingdom

Hybrid Permanent

Frontend Engineer

Design and develop client-facing web applications that visualize insights from data science and machine learning models, collaborating with cross-functional teams in government and public sector projects. Build and maintain reusable frontend components and drive best practices across the organization. Work within secure environments requiring UK Security Clearance, with a focus on scalable, well-tested React and TypeScript applications.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Modelling Engineer

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

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

Research Engineer - Data Infrastructure

This role involves building and maintaining large-scale data infrastructure to support cutting-edge AI models, with a focus on data pipelines, curation strategies, and tooling for training high-quality models. The engineer will work on data processing, filtering, and transformation systems, as well as develop classifiers and labeling models to improve data quality. The position emphasizes autonomous problem-solving and close collaboration with research teams in a fast-paced, AI-first environment.

ElevenLabs United Kingdom

Remote Permanent

W

Software Engineer, Simulation

This role involves developing and maintaining high-scale simulation systems for Wayve’s embodied AI driving technology. You'll work across C++ and Python to integrate components of the end-to-end driving stack, improve simulation accuracy and reproducibility, and support both open-loop and closed-loop workflows. The position emphasizes debugging complex systems, performance optimization, and close collaboration with robotics, autonomy, and data teams to deliver reliable, scalable simulation infrastructure.

Wayve London, United Kingdom

W

DevOps Engineer

This role involves building and maintaining CI/CD pipelines and build infrastructure to support fast, reliable software delivery across engineering teams. The engineer will optimise build performance, troubleshoot complex pipeline issues, and develop automation tools to improve developer workflows. The position operates in a high-scale, complex environment involving robotics and AI, with a strong focus on scalability, security, and developer experience.

Wayve London, United Kingdom

ML Data & Platform Engineer

Design and maintain scalable data pipelines for training speech AI models, develop data acquisition systems, and operate the ML platform for training, evaluation, and serving. Focus on improving data quality, system reliability, and MLOps practices across distributed infrastructure. Work closely with ML teams to accelerate model deployment and iteration.

Speechmatics London, United Kingdom

ML Data & Platform Engineer

This role focuses on building and maintaining scalable data pipelines and ML infrastructure for training and serving speech AI models. You'll work across the full stack—from data ingestion and web scraping to model deployment and observability—ensuring high-quality, reliable data flows and efficient training workflows. The position emphasizes end-to-end ownership of MLOps systems within a distributed, cross-functional ML team.

Speechmatics Cambridge, United Kingdom

Platform Engineer

Design and deploy secure, scalable cloud infrastructure for AI and machine learning workflows using AWS and Azure. Enable data scientists and ML engineers through infrastructure-as-code, reusable libraries, and best practices. Work cross-functionally to solve complex technical challenges in life sciences and other sectors.

Faculty London, United Kingdom

Hybrid Permanent