Latest ML Engineer Jobs

Spotlight

Data Engineer - Level 5 Coach - Fully Remote

This role involves coaching and mentoring working professionals through a Level 5 Data Engineering apprenticeship programme, helping them develop technical and professional skills in data engineering. You'll deliver 1:1 coaching, lead workshops, and guide learners in building secure, scalable data solutions using modern cloud platforms and tools. The position blends deep technical expertise with teaching and mentorship, focused on real-world application and ethical data practices.

Corndel London, United Kingdom

Remote Permanent

Spotlight

Senior AI Engineer

The role involves developing emotionally responsive virtual humans using AI to enhance soft-skills training. You'll work across the full AI stack—integrating large language models with speech and vision systems—to create realistic, interactive simulations. The position emphasizes research-to-product development, rigorous evaluation, and cross-disciplinary collaboration in a socially impactful startup environment.

Bodyswaps London, United Kingdom

Hybrid Permanent

ML Platform Engineer

This role involves designing and improving the ML platform systems that support model training, evaluation, and production serving at scale. The engineer will build infrastructure and internal tooling to enhance reliability, scalability, and automation, with a focus on reducing operational overhead for researchers and product teams. Work includes developing agentic workflows, optimizing GPU-based workloads, and improving observability and developer experience across distributed systems.

Synthesia London, United Kingdom

Remote Permanent

ML Runtime Engineer (Mid-Level and Senior)

Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch, vLLM, and SGLang. Work closely with hardware and ML teams in a co-design environment to deliver high-performance inference solutions. Build low-level systems in Rust while contributing to the full software stack for next-generation AI hardware.

Fractile London, United Kingdom

Hybrid Permanent

ML Runtime Engineer (Mid-Level and Senior)

Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to enable high-performance inference. Build low-level systems in Rust and contribute to cutting-edge AI infrastructure.

Fractile Bristol, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

This role involves developing and optimizing machine learning systems for document classification and extraction, with a focus on fraud detection in identity verification. The engineer will work on production-scale LLM and traditional ML pipelines, improving accuracy and performance across global document types. Collaboration with cross-functional teams and mentorship of junior engineers are key aspects of the position.

Entrust London, United Kingdom

Hybrid Permanent

Staff ML Engineer, Gaia

Lead the development and scaling of Gaia, Wayve’s video world model that predicts future driving scenarios from past context. Drive large-scale training of foundation models, improve synthetic scenario generation, and collaborate with research and engineering teams to enhance autonomous driving systems. Focus on model architecture, training strategy, and end-to-end delivery in a high-impact, fast-paced environment.

Wayve London, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

Design and build production-grade machine learning systems for document classification and extraction, focusing on high accuracy and scalability across global identity documents. Work with LLMs and traditional ML models, optimize inference pipelines, and collaborate with cross-functional teams to enhance fraud detection and customer onboarding. Emphasis on technical leadership, system reliability, and mentoring within a squad-based engineering culture.

Entrust

Hybrid

AI/ML Engineer

Develop and deploy novel AI/ML solutions in high-impact domains such as Defence and National Security. Work across the full R&D lifecycle, from translating academic research into prototypes to building production-grade systems using Python. Collaborate with multidisciplinary teams and contribute to technical strategy, customer engagements, and proposal development.

CBSbutler Holdings Limited trading as CBSbutler Romsey, Hampshire, United Kingdom £65,000 pa

Staff ML Engineer | | London |

This role involves shaping the technical direction of AI engineering across an enterprise, focusing on Agentic AI and production-grade RAG systems. You'll establish engineering standards, design scalable vector retrieval architectures, and lead best practices in MLOps, deployment, and AI governance. The position requires strong influence skills to guide multiple engineering teams in adopting consistent, production-ready AI patterns.

WeDoTech Bunhill, London, United Kingdom £750 – £900 pd

Hybrid Contract

Principal ML Platform Engineer

Design and evolve the ML platform infrastructure for training, serving, and deploying generative models at scale. Build reliable, automated systems and internal tooling to reduce operational overhead for researchers and engineers. Work across distributed systems, Kubernetes, and cloud environments to improve scalability, observability, and developer experience in a high-growth AI company.

Synthesia London, United Kingdom

Remote Permanent

Senior AI/ML Engineer

This role involves leading AI/ML research and development projects from concept to deployment, applying cutting-edge techniques in computer vision, NLP, reinforcement learning, and large language models to real-world challenges in defence and national security. The engineer will develop solutions using Python, provide technical leadership, mentor junior team members, and collaborate with multidisciplinary teams. Work includes strategic contribution to solution design, bids, and engineering innovation in a hybrid environment.

Copello Southampton, Hampshire, United Kingdom £60,000 – £65,000 pa

Senior AI/ML Engineer

This role involves designing, building, and deploying AI-driven systems using state-of-the-art large language models and agent-based systems. You will work closely with cross-functional teams to translate complex problems into scalable AI solutions, optimize system performance, and contribute to the overall AI strategy. The company is at the forefront of applied AI, focusing on automating manual workflows and enhancing decision-making processes.

Platform Recruitment London, United Kingdom £90,000 – £120,000 pa

Hybrid Permanent Flexible

Senior Specialist Solutions Engineer (AI/ML)

This role involves leading the design of production-grade machine learning and GenAI solutions on the Databricks platform, with a focus on MLOps, RAG architectures, and LLM deployment. The engineer will act as a technical advisor during sales cycles, build MVPs, and support customers in implementing AI workflows. Responsibilities also include creating technical content, mentoring teams, and driving platform adoption through thought leadership and community engagement.

Databricks London, United Kingdom

On-site Permanent

AI Engineer

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance Cambridge, United Kingdom

Hybrid Permanent

Machine Learning Engineer

This role involves building and maintaining production-grade machine learning systems, focusing on deploying models into scalable, monitored services across Azure and GCP. You'll develop APIs, automate the full ML lifecycle, and collaborate with data scientists and engineers to integrate ML into enterprise applications. The position emphasizes infrastructure, CI/CD, and model governance, with ownership over the design of the MLOps framework.

Method Resourcing York, YO1 8RS, United Kingdom £60,000 – £70,000 pa

Treasury AI Engineering Lead - NatWest Group

The role involves leading the adoption of Generative AI and machine learning in Treasury operations, focusing on liquidity forecasting, capital optimisation, and risk management. You'll design and deliver AI solutions, migrate systems to secure cloud environments, and promote responsible AI practices while mentoring engineers and shaping technical strategy. The position requires strong leadership in AI engineering, collaboration with stakeholders, and oversight of data governance and scalable architecture.

eFinancialCareers London, United Kingdom