Latest mlops Jobs

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI technologies, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable generative AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business needs into technical strategies across enterprise and industry-specific use cases.

NVIDIA

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable Agentic AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business challenges into technical AI solutions across enterprise environments.

NVIDIA

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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

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

Data Science Manager

Leads a team of data scientists to develop, deploy, and support AI solutions across public sector procurement projects, with a focus on generative AI, machine learning, and ethical AI practices. Manages end-to-end AI lifecycles including MLOps and GenAIOps, ensures technical quality, and advises on scalable, secure implementations in cloud environments like Azure or AWS. Engages in strategic planning, cross-functional collaboration, and innovation initiatives through an internal funding board.

SVGC Limited Milton Keynes, Buckinghamshire, United Kingdom £65,000 – £75,000 pa

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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

Data Scientist (Sovereign Territory Surveillance)

The Data Scientist role at SRT Marine Systems involves developing and evaluating ML models for maritime and security-based problems, such as detection, classification, and anomaly detection in time series and image/video data. You will collaborate with developers and engineers to integrate these models into user-facing features and build scalable data pipelines.

SRT Marine Systems PLC Swindon, Wiltshire, United Kingdom £55,000 – £85,000 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

Data Science & AI Delivery Lead

The role involves leading the technical delivery of AI and machine learning solutions, ensuring robust architecture, MLOps practices, and production readiness across projects. You'll guide a team of data scientists and AI engineers, contribute hands-on to Python-based development, and drive innovation in generative AI using Azure services. The position emphasizes engineering excellence, collaboration with data engineering and business technology teams, and staying ahead of emerging AI technologies.

Everson Recruitment London, United Kingdom £130,000 pa

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 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

Lead AI / ML Engineer

The Lead AI/ML Engineer will focus on building and deploying machine learning models to drive analytics and decision-making in the leisure, travel, and tourism industry. Key responsibilities include engaging with business stakeholders, designing predictive models, and working with data in Databricks and Azure environments.

Michael Page Technology Woking, United Kingdom £80,000 – £95,000 pa

Machine Learning Fellow - Human Frontier Collective (UK)

This role involves collaborating on high-impact machine learning projects, evaluating and optimizing PyTorch models, and contributing to AI research publications. Fellows work remotely on flexible schedules, engaging with cutting-edge generative AI systems and interdisciplinary experts. The position emphasizes research, model interpretation, and advancing responsible, human-centered AI through technical evaluation and publication.

Scale AI United Kingdom

Remote Contract Flexible