201 to 219 of 219 MLOps Jobs in the UK excluding London

deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate Essential Experience Extensive experience in Python and proficiency … other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience ...

successful, production‐scale machine learning solutions (ideally on AWS SageMaker). You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large‐scale matching platform. This is a hands‐on lead role requiring recent expertise in building, deploying, monitoring … Establishing engineering standards and operational excellence. Implementing feature stores, Lakehouse architectures, and enterprise data quality frameworks. Coaching engineers, reviewing designs, and driving technical direction. MLOps, Deployment & Operations Deep hands‐on experience with SageMaker Pipelines, Training, Processing, Model Registry, Endpoints, Monitoring, and deployment workflows. CI/CD, infrastructure as code, model ...

Halfords is seeking a Machine Learning Engineer to turn models into production-grade services powering customer and operational experiences. You will bridge software engineering, MLOps, and data science to build scalable pipelines and APIs deployed at enterprise scale. You will work with Data Scientists to move experiments into robust solutions ...

senior ML engineer to design, develop and improve software for business and technology capabilities, focusing on scalable, secure ML deployments. You will lead MLOps with Python, SageMaker, Databricks, MLflow, kubernetes, and collaborate with data scientists, infra teams; ensure governance and risk management. The role emphasizes hands-on delivery and mentorship ...

Machine Learning Engineer to turn ML models into production-grade solutions across the business. You’ll work at the intersection of software engineering, MLOps and data science, building frameworks, pipelines and services for deployment, monitoring and scaling of models from experimentation to live environments. You’ll partner with data scientists ...

solutions. You will work with data scientists and engineers across the full lifecycle from data prep to production monitoring. The role emphasises scalable MLOps, governance, and collaboration with clients to deliver measurable outcomes. The position offers a hybrid working model with opportunities for professional development and participation in cutting-edge ...

role in designing, building, testing and evolving scalable analytics hosting platforms, while also providing hands-on engineering support to Data Scientists and MLOps teams. The role offers plenty of variety, with the opportunity to work across a broad range of technologies and tackle complex technical challenges. You'll need … across existing analytics services. Deliver bug fixes and feature enhancements for mission-facing analytics platforms. Provide hands-on engineering support to Data Scientists and MLOps teams. Work across a varied technology landscape, adapting to unfamiliar technologies where required. Contribute to the design and implementation of reliable, scalable and secure technical ...

supporting AI/ML workloads. You'll apply deep technical expertise across infrastructure automation, environment provisioning and deployment pipelines , working closely with Data Engineers, MLOps Engineers and Solution Architects to ensure the platform meets performance, scalability, cost and compliance requirements. There is flexibility on base location across … Vault and Azure AD Supporting connectivity between on-prem services and Azure cloud infrastructure (hybrid networking/private connectivity, including GreenLink) Working with MLOps and Data Engineers to ensure environments are reproducible, reliable and auditable across multiple environments Supporting observability and platform health: logging and metrics monitoring using tooling such ...

data science projects from discovery through to production deployment. Analyse and prepare large datasets from operational, asset, weather and market sources. Build and maintain MLOps pipelines to support reliable and scalable model deployment. Create dashboards, visualisations and applications that communicate insights to stakeholders. Work closely with engineers, operators and business … Strong Python programming skills, including experience with libraries such as pandas and scikit-learn. Experience designing, deploying and maintaining machine learning solutions using modern MLOps practices. Experience extracting, manipulating and analysing data using SQL. Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Degree ...

operate AI infrastructure for enterprise AI workloads. You’ll work across hybrid and multi-cloud environments, delivering GPU-accelerated compute, model serving, and MLOps tooling while guiding clients through transformations. You will lead architecture reviews, workshops, and implementation of observability, security, and governance frameworks for AI systems. #J-18808-Ljbffr ...

powering forecasting solutions, working with data scientists and platform partners to productionize models and maintain high-availability production systems. You will design and operate MLOps pipelines, deployment workflows, and runtime infrastructure across cloud environments, aiming for performance, scalability, and cost efficiency. #J-18808-Ljbffr ...

Junior DevOps/MLOps Engineer We are looking for a Junior DevOps/MLOps Engineer to help build, automate and maintain the infrastructure and pipelines that deliver software and machine learning models into production. Working alongside software and AI engineers, you will support reliable deployments, improve automation and help ensure ...

will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving … lifecycle. Design, develop, test, and deployment of a new analytic hosting platform. Bugfixes and feature requests for existing mission facing analytics. Engineering support to MLOps engineers and Data Scientists. These are unpredictable and highly variable requirements, potentially using unfamiliar technology, so a flexible style is required. In this role ...

Senior Data Science Manager – Strategic Data Solutions Cambridge, Massachusetts, United States Corporate Functions Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder ...

Intellectual Capital Resources Ltd is seeking a senior MLOps/System Administration engineer to join their growing tech team. You will provision and maintain multi-rack GPU server clusters for inference and training workloads, enabling cutting-edge AI and deeptech research. This hands-on role sits in a small team ...

exciting growing tech company focused on building cloud platform services for the AI and deeptech research community. They are looking to expand their MLOps and System Administration team by hiring a further senior engineer, to continue building/supporting their infrastructure, which is used for research and development. The role … pivotal role in achieving success for this company. Key skills/experience required: Significant engineering experience in roles such as System Administration, HPC Engineering, MLOps Engineering Modern GPU server deployment, tuning and management Advanced networking technologies (Infiniband, RDMA, RoCE) Advanced Linux skills and experience working with servers running hypervisors/ ...

Bio-ML Scientist (Metabolic Modelling) - Generative Biology Institute EIT - Ellison Institute of Technology Oxford, United Kingdom Your Role: At EIT we are seeking an experienced and detail orientated Bio-ML Scientist to develop AI and ...

different cadences, from rapid software release cycles through to longer‐term research and development work. Apply sufficient technical fluency in machine learning (including MLOps, model deployment and training infrastructure) and software‐defined robotics (including ROS/ROS2, simulation and digital twins) to identify risks, challenge assumptions and support sound decision … comfortable engaging in technical discussions and reviews. Applied experience in machine learning and/or robotics environments, with familiarity in areas such as MLOps, deployment pipelines, model training workflows, and simulation‐to‐production delivery. Experience operating across mixed delivery cadences, supporting programmes where teams work at different speeds and delivery ...

Boehringer Ingelheim is seeking a Senior ML Engineer to join the AI Systems team in the UK, bridging research and production for biomedical AI. You will translate research prototypes into robust model artefacts and drive ...