326 to 350 of 374 MLOps Jobs in the UK

Applied AI Engineer Marlow/High Wycombe, UK (hybrid) | Full-Time | Permanent | £50,000 to £100,000 (DOE) I am currently recruiting for a global leader in designing and manufacturing of audio and content creation tools, from microphones to audio More ❯

Updraft. Helping you make changes that pay off. Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day to day More ❯

Location: Haywards Heath, Home Office (Remote) or Manchester Salary: £56,000 - £70,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been More ❯

SaaS products Help develop and groom an experiment backlog Build models that solve real-world problems Optimize models for production throughput and uptime requirements Automate deployments, testing, and monitoring (MLOps) Requirements 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services Expert in Machine Learning, Modeling, and development with Python Expert in MLOps … is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes Bachelor's degree or higher in computer science, engineering, or information systems Veeva's headquarters is located in the San Francisco Bay Area with offices in more than More ❯

tool calling capabilities Implement and optimize model serving infrastructure using frameworks like vLLM, ONNX Runtime, and Nvidia Triton to achieve production-scale performance requirements Collaborate with DevOps teams on MLOps infrastructure including model monitoring, load testing, caching optimization, and automated CI/CD pipelines for model deployments Contribute to privacy-preserving ML approaches and on-device model implementations that align … experience with PyTorch or other modern ML frameworks Experience training custom models from scratch Experience with model optimization and inference frameworks (e.g., vLLM, ONNX Runtime, Nvidia Triton) Familiarity with MLOps practices & Kubernetes and ability to collaborate with DevOps teams on model monitoring, load testing, and CI/CD pipelines Experience shipping ML-powered features or systems (consumer applications preferred) Preferred More ❯

tool calling capabilities Implement and optimize model serving infrastructure using frameworks like vLLM, ONNX Runtime, and Nvidia Triton to achieve production-scale performance requirements Collaborate with DevOps teams on MLOps infrastructure including model monitoring, load testing, caching optimization, and automated CI/CD pipelines for model deployments Contribute to privacy-preserving ML approaches and on-device model implementations that align … experience with PyTorch or other modern ML frameworks Experience training custom models from scratch Experience with model optimization and inference frameworks (e.g., vLLM, ONNX Runtime, Nvidia Triton) Familiarity with MLOps practices & Kubernetes and ability to collaborate with DevOps teams on model monitoring, load testing, and CI/CD pipelines Experience shipping ML-powered features or systems (consumer applications preferred) Preferred More ❯

tools. Accelerate Delivery: Apply standardised processes and automated testing to streamline development and reduce time-to-market while managing terabytes of data daily. Driving AI & ML Initiatives Champion LLMOps & MLOps Strategy: Set the architectural framework for building, training, and deploying AI/ML models with automation and regulatory compliance in mind. Enhance Operational Efficiency: Oversee end-to-end workflows (model … DevOps methodologies. Familiarity with Spark, Iceberg, Parquet, and other solutions for large-scale data processing. AI/ML & Analytics Background Competent in ML & analytics, with exposure to LLMOps and MLOps practices (pipeline automation, model governance). Comfortable leading the architecture of AI solutions rather than day-to-day model development. Governance, Security & Compliance Mindset Skilled in defining and enforcing data More ❯

and champion new technologies Perception Model Lifecycle Management: Lead the end-to-end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence … perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications Proficiency in Python and C++ Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and MLOps tools/platforms Communication, interpersonal, and collaboration skills for working in a dynamic, cross-functional environment Company Statements Equal Opportunity Rivian is an equal opportunity employer and complies with all More ❯

s why we're a leader in next-generation cybersecurity. Protection Starts with People. Proofpoint. The Role We are looking for a Senior Backend Engineer to join our Algo & MLOps team. In this pivotal role, you will drive the implementation of cloud infrastructure and services enabling the research, training and productionisation of advanced ML models powering our email threat detection … problem-solving within the team. - Develop, deploy and maintain low-latency, scalable and reliable applications and infrastructure using Python and Terraform on AWS cloud - Collaborate closely with data scientists, MLOps and backend engineers to build and manage infrastructure and services for training and deployment of a diverse set of ML and NLP models - Build and maintain batch and real-time More ❯

Senior Machine Learning Scientist (Viator) London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything More ❯

For more information, contact Mieke Van Tonder at . This is an exciting opportunity for someone passionate about technology, data, and machine learning, eager to contribute to a collaborative environment. The Data Scientist will build and deploy machine learning models More ❯

Machine Learning Operations Lead Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project More ❯

easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a Senior MLOps Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy game-changing initiatives that use … cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your priorities will include: Delivering for customers at scale. Optimise and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches. Leading More ❯

easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a Senior MLOps Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy game-changing initiatives that use … cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your priorities will include: Delivering for customers at scale. Optimise and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches. Leading More ❯

science products and insights. End-to-End ML Lifecycle Ownership: Experience developing and deploying complex machine learning models, owning the entire lifecycle from exploratory data analysis to production monitoring. MLOps Familiarity: Familiarity with GCP's MLOps suite including Vertex Pipelines (or similar platforms). Technical Proficiency: in SQL and Python, along with familiarity with standard libraries used in data science More ❯

Role Title: Product Manager - MLOps Platform (AdTech Focus) Location: Remote | UK Based Duration: 31/12/2025 MUST BE THROUGH UMBRELLA Role Description: We're looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique … a foundational capability that will power advanced machine learning use cases across our advertising ecosystem. Key Responsibilities: Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand … workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform. Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for More ❯

forecasting, route/network performance, or operational optimisation. Design and support A/B tests and data experiments to measure the impact of commercial initiatives. Work with Data Engineers, MLOps Engineers and BI teams to integrate models into production pipelines and dashboards. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, Inflight Retail, and IT teams to gather … forecasting, route/network performance, or operational optimisation. Design and support A/B tests and data experiments to measure the impact of commercial initiatives. Work with Data Engineers, MLOps Engineers and BI teams to integrate models into production pipelines and dashboards. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, Inflight Retail, and IT teams to gather More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

. API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance More ❯

Lead Generative AI Solutions Architect (Contract) - Remote We are seeking an experienced Lead Generative AI Solutions Architect to join a high-impact AI transformation programme. This is a hands-on role where you will take projects from concept to delivery More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance More ❯