251 to 275 of 302 MLOps Jobs in England

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 ❯

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 ❯

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 ❯

This is a high-impact, hands-on leadership role. Youll work across product, data science, and engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our … Design & Delivery Lead the architecture and delivery of ML systems that power real-time and batch predictions at scale Design production pipelines for training, deployment, and monitoring using modern MLOps tooling Take ownership of technical quality, resilience, and observability of critical ML services Build reusable tools and frameworks to enable fast, safe experimentation and deployment Platform, Standards & MLOps Foundations Define … and build the core MLOps capabilities for the organisation, including training pipelines, deployment frameworks, and observability tooling Establish standardised patterns and best practices to accelerate model development, testing, and deployment Lead the evolution of our ML platform, working with engineering partners to improve scalability, governance, and developer experience Contribute to responsible ML practicessupporting auditability, explainability, and model health monitoring Technical More ❯

This is a high-impact, hands-on leadership role. Youll work across product, data science, and engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our … Design & Delivery Lead the architecture and delivery of ML systems that power real-time and batch predictions at scale Design production pipelines for training, deployment, and monitoring using modern MLOps tooling Take ownership of technical quality, resilience, and observability of critical ML services Build reusable tools and frameworks to enable fast, safe experimentation and deployment Platform, Standards & MLOps Foundations Define … and build the core MLOps capabilities for the organisation, including training pipelines, deployment frameworks, and observability tooling Establish standardised patterns and best practices to accelerate model development, testing, and deployment Lead the evolution of our ML platform, working with engineering partners to improve scalability, governance, and developer experience Contribute to responsible ML practicessupporting auditability, explainability, and model health monitoring Technical 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 ❯

The continuous improvement of our products and the range of innovation projects we are committed to, require us to scale our Machine Learning team. We are searching for an MLOps Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As an MLOps … Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, AWS, Docker, Terraform Experience deploying and maintaining machine learning models in production environments Familiarity with MLOps best practices: versioning, monitoring, model registries, CI/CD Excellent organisation skills, working independently and ability to deliver results for deadlines A proactive, innovative, pragmatic approach to problem-solving and More ❯

The continuous improvement of our products and the range of innovation projects we are committed to, require us to scale our Machine Learning team. We are searching for an MLOps Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As an MLOps … Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, AWS, Docker, Terraform Experience deploying and maintaining machine learning models in production environments Familiarity with MLOps best practices: versioning, monitoring, model registries, CI/CD Excellent organisation skills, working independently and ability to deliver results for deadlines A proactive, innovative, pragmatic approach to problem-solving and More ❯

and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming … communication skills with both technical and business stakeholders Eagerness to learn and grow in ML engineering and deployment practices (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools (Nice to have) Experience with data pipeline tools or frameworks Personal Attributes You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in … and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming More ❯

The continuous improvement of our products and the range of innovation projects we are committed to, require us to scale our Machine Learning team. We are searching for an MLOps Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As an MLOps … Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, AWS, Docker, Terraform Experience deploying and maintaining machine learning models in production environments Familiarity with MLOps best practices: versioning, monitoring, model registries, CI/CD Excellent organisation skills, working independently and ability to deliver results for deadlines A proactive, innovative, pragmatic approach to problem-solving and More ❯

API Gateways Guide distributed system architectures and internal service integration . Define best practices for service-to-service communication and data management . AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows . Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD , Infrastructure as … on internal tooling and shared services. Track record of delivering internal products that boost developer workflows , reliability , or deployment velocity . Hands-on experience with AI/ML platforms , MLOps , and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

API Gateways Guide distributed system architectures and internal service integration . Define best practices for service-to-service communication and data management . AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows . Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD , Infrastructure as … on internal tooling and shared services. Track record of delivering internal products that boost developer workflows , reliability , or deployment velocity . Hands-on experience with AI/ML platforms , MLOps , and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS 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 ❯

latest ML/AI advancements Ensuring AI practices comply with policies and ethics Providing technical guidance to cross-functional teams Programming in Python, Java, .NET, JavaScript, or C++ Using MLOps tools and frameworks Source control with Git, Mercurial, or Perforce Containerization with Docker, Kubernetes Additional experience in the following is desirable but not mandatory, and we will support your development … Refining models in collaboration with data scientists Improving MLOps processes Ensuring data quality and accessibility Performing data analysis for model development Documenting model development processes Working with cloud environments like AWS or Azure Integrating with various database systems Using CI/CD tools such as Jenkins or Bitbucket Security clearance is required. If not currently cleared, you must be eligible More ❯

and accountability across your teams, working closely with Product and Engineering counterparts. Instill a strong experimentation mindset, including uplift modelling, A/B testing, and causal inference. Ensure robust MLOps practices are in place for deployment, monitoring, and retraining. Champion collaboration with Analytics Engineering and Data Platform teams to build clean, reproducible, production-ready datasets. Embed responsible AI practices - promoting … planning, prioritisation, and execution skills. Deep technical understanding of statistical modelling, ML methods, and experimentation design. Experience deploying machine learning in production, ideally in a modern cloud environment with MLOps tools and frameworks. Skilled in balancing hands-on credibility with strategic oversight - able to bring both vision and structure. Charismatic, structured, and energising - able to bring clarity, urgency, and cohesion More ❯

guidelines. Providing technical guidance in the implementation and integration of machine learning to other cross-functional teams. Programming in one or more of Python, Java, .Net, JavaScript, C++. Using MLOps tools and frameworks. Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce. Utilising containerisation technologies e.g. Docker, Kubernetes. It would be great if you also had … not we'll help you with them Optimising models from data scientists by working closely with them to refine, optimise, and implement models based on prototypes. Defining and improving MLOps processes by creating and refining the model development and deployment strategy for better efficiency and results. Ensuring the quality and accessibility of data used for machine learning projects is appropriate More ❯

About DraftWise DraftWise is revolutionizing the legal industry with an innovative knowledge platform that transforms how lawyers and legal professionals work. Our products unlock, for the first time, years of historic legal contracts negotiated by firms for their clients and 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 ❯

Job description Location: Remote - London Type: Contract - 6 months rolling About the Role We're looking for an ML Ops Engineer to join a leading energy company as part of the Wholesale Markets team. This role focuses on building the 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 ❯