Latest mlops engineer Jobs

Senior MLOps Engineer - DSX Enablement

Develop and optimize AI infrastructure solutions on NVIDIA's NeoCloud and partner platforms, focusing on distributed training, inference, and MLOps pipelines. Serve as a technical advisor for internal and external customers, diagnosing full-stack AI/ML system issues and contributing to open-source tools. Collaborate with engineering teams to enhance accelerated frameworks and support new hardware integration.

NVIDIA PLN 292,500 – PLN 650,000 pa

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

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 goals. Establish monitoring frameworks to detect performance issues and data drift, and lead incident response for AI systems. Champion MLOps practices and collaborate across engineering, product, and compliance teams to ensure ethical, secure, and efficient AI deployments in production.

Mastercard Ashbourne, Derbyshire, United Kingdom

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa

Hybrid Permanent Clearance Required

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 Celbridge, Kildare County, Ireland

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

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Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and reliability of machine learning models throughout Wayve’s development lifecycle. The engineer will define and enforce release standards across complex training phases, improve ML delivery pipelines, and collaborate with platform, CI/CD, and evaluation teams to enhance automation, observability, and evaluation methodology. The position plays a critical role in maintaining model integrity and safety for embodied AI in autonomous vehicles.

Wayve London, United Kingdom

Senior Machine Learning Engineer

Design, train, and optimise machine learning models using TensorFlow and TFX, building scalable production pipelines and deploying models into live environments. Monitor performance, improve systems iteratively, and collaborate with engineering and product teams to deliver business-impacting ML solutions. Work with large-scale datasets and focus on end-to-end MLOps practices in a hybrid setup.

Maxwell Bond Marylebone High Street, London, United Kingdom £58,000 – £60,000 pa

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

Senior Machine Learning Engineer

This role involves designing, building, and deploying machine learning models into production environments, with a focus on MLOps workflows, API development, and DevOps best practices. You will work closely with data scientists and engineers to deliver robust, scalable solutions that drive commercial outcomes.

Harnham - Data and Analytics Recruitment London, United Kingdom £90,000 – £110,000 pa

Hybrid Permanent

Senior AI/ML Engineer

This role involves leading AI initiatives to build intelligent, scalable learning experiences using large language models and modern cloud infrastructure. The engineer will design production AI systems for personalisation, tutoring, content generation, and learner support, while establishing best practices in AI governance and mentoring engineering teams. Collaboration with product, data, and learning design teams is central to delivering impactful educational technology.

eFinancialCareers London, United Kingdom £90,000 – £110,000 pa

Hybrid Permanent

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom

On-site Permanent

Sr. Forward Deployed Engineer - Architect - Full Stack

Lead the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. Work hands-on to architect end-to-end solutions combining data engineering, machine learning, and application development while embedding with customer teams to drive adoption and impact. Contribute reusable frameworks and influence product direction through direct customer feedback.

Databricks London, United Kingdom

Senior Machine Learning Engineer (E3)

A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.

Ocado United Kingdom

Hybrid Permanent