Latest ML Engineer Jobs

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI solutions in production.

Mastercard Leixlip, Kildare County, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, resolve performance issues, and champion MLOps practices. Collaborate across technical and non-technical teams to ensure AI solutions meet compliance, governance, and operational standards while driving continuous improvement in production environments.

Mastercard Malahide, Fingal, Ireland

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

Staff Software Engineer, Node Infra

This role focuses on designing and operating large-scale AI infrastructure, specifically managing the lifecycle of compute nodes across cloud and on-prem environments. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair systems, ensuring high reliability and efficiency across Anthropic's GPU, TPU, and Trainium fleets. Collaboration with research, inference, and cloud provider teams is central to shaping long-term infrastructure and compute strategy.

Anthropic London, United Kingdom £325,000 – £485,000 pa

Senior AI Engineer (Gen AI & RAG)

Design and implement production-grade generative AI systems with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. Develop scalable, reliable AI pipelines using domain-specific data and contribute to evaluation frameworks that ensure correctness and business alignment. Collaborate closely with platform and product teams to bring AI capabilities from experimentation to deployment.

The Portfolio Group Manchester, United Kingdom £80,000 – £100,000 pa

Embedded Machine Learning Engineer

Develop and deploy machine learning models for real-time sensor classification on embedded devices operating in constrained, real-world environments. Work across the full lifecycle—from raw sensor data to on-device inference—optimising for memory, power, and reliability. Collaborate with firmware and hardware teams to bridge data science and embedded systems engineering in a cutting-edge edge AI environment.

KO2 Embedded Recruitment Solutions Roxburgh's Court, Edinburgh, United Kingdom £60,000 – £70,000 pa

Senior Software Engineer (Python)

Design and build production-grade, AI-driven systems with a focus on safety, compliance, and scalability in regulated financial environments. Develop policy enforcement, behavioural monitoring, and evaluation frameworks for agentic AI workflows on a serverless AWS platform. Collaborate with AI, product, and compliance teams while mentoring engineers and shaping best practices in AI-augmented development.

Aveni United Kingdom

Remote Permanent

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.

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

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

Machine Learning Ops Engineer

This role involves designing, building, and deploying machine learning models in Azure Machine Learning Studio to support actuarial and analytics teams in a pensions and insurance context. The engineer will manage the full MLOps lifecycle, including model monitoring, retraining pipelines, and integration with data workflows using Azure Data Factory and CI/CD practices. A key focus is ensuring model reliability and translating technical outputs into actionable business insights for both technical and non-technical stakeholders.

Proactive Appointments London, United Kingdom £45,000 – £60,000 pa

Remote Permanent

Principal Machine Learning Engineer

A Principal Machine Learning Engineer will lead technical innovation in speech AI by developing and deploying advanced machine learning models, translating research into scalable production systems. The role involves mentoring engineers, shaping long-term ML strategy, and solving complex modelling challenges across the organisation. Work spans distributed training, inference optimisation, and MLOps best practices within a hybrid working environment.

Speechmatics Cambridge, United Kingdom

Principal Machine Learning Engineer

Lead the development and deployment of advanced speech recognition models, bridging research and production. Drive technical vision, mentor engineering teams, and optimise large-scale ML systems for accuracy, speed, and scalability. Work across the full ML lifecycle with a focus on transformers, distributed training, and MLOps best practices.

Speechmatics London, United Kingdom

Hybrid Permanent

Senior AI Engineer

Design and implement end-to-end AI/ML systems using generative AI, LLMs, and agentic frameworks to extract insights from biomedical literature and data. Focus on production-grade reliability, model quality, and collaboration with product and engineering teams to deliver user-facing features. Mentor junior engineers and contribute to a culture of technical excellence and knowledge sharing.

Causaly London, United Kingdom

Hybrid Permanent

Applied AI Engineer, Global Public Sector

Build and deploy end-to-end AI applications for public sector clients, leveraging cutting-edge models and open-source tools. Collaborate with cross-functional teams to create high-quality training datasets and evaluation frameworks. Engage in customer projects with occasional travel, focusing on real-world AI impact at scale.

Scale AI United Kingdom

Hybrid Permanent

Senior Data Engineer

Design and build a modern Azure-based data platform from the ground up, creating scalable ETL/ELT pipelines and secure data solutions. Develop Power BI semantic models and reporting architecture while championing DataOps and DataSecOps principles. Mentor junior engineers and influence long-term data strategy in a collaborative engineering culture.

Yolk Recruitment Cardiff, Cymru / Wales, CF10 2AF, United Kingdom £47,675 pa

Hybrid Permanent