Latest mlops engineer Jobs

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on MLOps pipelines, distributed training, and inference optimization. The engineer will act as a technical advisor to both internal and external customers, diagnosing full-stack AI/ML system issues and contributing to open-source tools and reference architectures. A strong emphasis is placed on performance tuning, scalability, and deep collaboration with infrastructure and framework teams to advance AI capabilities.

NVIDIA

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on cloud platforms, with a focus on MLOps pipelines, distributed training, and inference optimization. The engineer will act as a technical advisor for internal and external customers, diagnose full-stack AI/ML system issues, and contribute to open-source tools and reference architectures. Work includes performance profiling, supporting new hardware in frameworks, and collaborating on scalable AI infrastructure.

NVIDIA PLN 292,500 – PLN 650,000 pa

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 AI Engineer - Perm - London

This role involves designing and building scalable AI data pipelines and cloud-native microservices, with a focus on productionising machine learning, NLP, and generative AI models. The engineer will collaborate closely with data scientists and software engineers to transform research into robust, cloud-based systems using modern MLOps practices. Emphasis is placed on technical leadership, mentoring, and shaping engineering standards within a global AI team.

Infused Solutions London, United Kingdom £65,000 – £75,000 pa

Research Data Engineer

Design and build scalable data systems to support multi-omics and machine learning in drug discovery. Focus on data pipelines, storage layouts, and infrastructure for high-dimensional biological datasets. Collaborate closely with ML scientists and research engineers to enable efficient model training and experimentation.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

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Model Release Engineer

A Model Release Engineer will design and build automated platforms to streamline the deployment of AI models across training, simulation, evaluation, and on-road testing. The role involves integrating systems across multiple teams, improving platform reliability and observability, and leveraging AI-assisted development to accelerate model release cycles. The position requires strong software engineering skills and experience with distributed systems and cloud infrastructure.

Wayve London, United Kingdom

Senior AI Engineer

Design and build production-grade multi-agent AI systems for high-stakes environments including defence and national security. Develop end-to-end workflows combining frameworks like LangGraph and Haystack with custom orchestration, retrieval, and guardrails. Deploy across cloud, on-prem, and air-gapped environments with strong emphasis on reliability, latency, and secure-by-design principles.

Deerfoot Recruitment Solutions Oxfordshire, United Kingdom £800 – £900 pd

Hybrid Contract Clearance Required

Staff Applied AI Engineer

This role involves designing and governing high-stakes AI systems for public sector clients, with a focus on responsible AI, model evaluation, and production MLOps. The engineer will establish technical standards, lead incident resolution for model safety, and build reusable AI capabilities like fine-tuned models and agent architectures. They will also mentor senior engineers, advise on technical roadmaps, and act as a trusted advisor to government clients on AI strategy and deployment.

Scale AI London, United Kingdom

Hybrid Permanent Clearance Required

Senior ML Engineer

Design and deploy production-grade NLP systems and large language models tailored for financial services, with a focus on scalability, data governance, and regulated environments. Develop fine-tuned, low-latency AI workflows integrated into cloud infrastructure, while mentoring engineers and advancing evaluation methodologies for LLM outputs. Work across the full ML lifecycle from research to deployment in a remote-first, innovation-driven team.

Aveni United Kingdom

Remote Permanent

Staff Software Engineer - Machine Learning

This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.

Capital One Bunhill, London, United Kingdom

Hybrid Permanent

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

Senior AI Engineer

Lead the design and deployment of scalable AI and generative AI solutions, including LLM-based applications for enterprise search, document summarization, and conversational AI. Drive innovation through retrieval-augmented generation (RAG) architectures and mentor engineering teams in transformer models and prompt engineering. Collaborate across data, ML, and business teams to deliver measurable impact using cloud AI platforms and MLOps practices.

Appcast Enterprise Cork, United Kingdom

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

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Senior Forward Deployed Engineering - Architect

This role involves working directly with enterprise customers to design and implement end-to-end data and AI solutions on the Databricks platform. The engineer leads architectural decisions, builds production-grade systems, and integrates data pipelines with ML/AI models and applications. Emphasis is placed on customer collaboration, reusable solutioning, and influencing product development through real-world feedback.

Databricks London, United Kingdom

Hybrid Permanent