226 to 250 of 310 MLOps Jobs in England

Learning (Azure ML), covering training, testing, and deployment to production.* Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools.* Implement CI/CD pipelines with Azure DevOps, ensuring … Training & Innovation * Clearly communicate ML model behaviour, performance, and limitations to both technical and non-technical stakeholders.* Support and upskill colleagues in the use of Azure ML tools and MLOps practices.* Explore and propose innovations based on emerging trends in Azure AI/ML and financial analytics. Essential Criteria * Demonstrated experience deploying and managing production machine learning models using Azure … Machine Learning.* Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines.* Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake.* Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows.* Familiarity with reporting and visualisation tools (e.g., Power BI).* Strong communication skills, with the More ❯

data science can deliver measurable value. Create powerful visualisations and present findings to technical and non-technical stakeholders. Build, deploy, and maintain robust data pipelines and production-grade models (MLOps). Champion ethical data practices, governance, and high-quality documentation. Stay up to date with AI and data science innovations, bringing cutting-edge thinking into the business. As a Data … data science can deliver measurable value. Create powerful visualisations and present findings to technical and non-technical stakeholders. Build, deploy, and maintain robust data pipelines and production-grade models (MLOps). Champion ethical data practices, governance, and high-quality documentation. Stay up to date with AI and data science innovations, bringing cutting-edge thinking into the business. Experience required A … e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud platforms (especially AWS), and MLOps practices is a strong advantage. A collaborative, curious mindset with excellent communication skills and a passion for innovation. Benefits include: Salary £55,000 dependant on experience Hybrid working, two days More ❯

large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or … other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a More ❯

models using machine learning and statistical methods Guide the team in delivering production-grade solutions in partnership with data engineering Champion best practices in model development, evaluation and deployment (MLOps) Communicate results and recommendations clearly to senior stakeholders across the business Mentor junior members of the team and contribute to team development and technical standards Help shape the roadmap for … Python skills and familiarity with libraries such as scikit-learn, pandas, NumPy, PyTorch or TensorFlow Advanced SQL skills and experience working with complex, high-volume datasets Practical experience with MLOps tools and practices for deploying and maintaining models Experience leading projects and collaborating across cross-functional teams Ability to influence stakeholders and communicate complex ideas clearly to non-technical audiences More ❯

You will be joining the Data Science and Engineering team to help get the most value out of our real-time data streams with a focus on elevating business decisions and ensuring genuine fans have the best opportunity to buy More ❯

About this role As a Platform engineer, MLOps, you will be critical to deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineers and researchers to develop a robust CI/CD pipeline that supports safe and reproducible experiments. Your expertise will also extend to setting up and maintaining More ❯

helping us to apply best practice and drive improvements across our ML operations. The ideal candidate will have the following skills and experience: An appreciation of good architecture and MLOps best practice The ability to collaborate with, and influence, technical and non-technical people A passion for end-to-end ownership of solutions, from articulation to delivery Proven ability to More ❯

Job Title : Product Manager - MLOps Platform (AdTech Focus) Location : Remote (UK BASED) Salary/Rate : £550 Inside IR35 Start Date : 18/08/25 - 31/12/25 Job Type : Contract MUST BE ELIGIBLE FOR BPSS About the Client: Our client is a global leader in the digital advertising space, driving innovation across programmatic media, data platforms, and … real-time analytics. They are embarking on a strategic initiative to build a greenfield MLOps platform to power advanced machine learning use cases across their AdTech ecosystem. This is a fully remote role, inside IR35, offering the chance to own and shape foundational ML infrastructure at scale. 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 current 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 More ❯

part of multi-disciplinary teams. Youll work in a fast moving, agile environment and will be involved in implementing machine learning algorithms, building production Machine Learning systems and developing MLOps processes. Youll help deliver some of the most exciting digital programmes around for clients in a range of industries by: Applying cross-disciplinary thinking Building a deep understanding of business … libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow), with a preference for PySpark experience Model Productionisation: Experience in taking Machine Learning models from development to production CI/CD and MLOps Experience : Familiarity with Continuous Integration and Continuous Deployment pipelines, especially in a Machine Learning or DevOps context Cloud Platforms : Experience building solutions using major cloud services (Azure, AWS, GCP) Analytical More ❯

The driving force behind our Machine Learning and Data Science infrastructure at Mimecast Embrace the incredible opportunities that lie within Mimecast, where innovation and impact converge. The cybersecurity industry is experiencing exponential growth, and by joining us, you'll be More ❯

Opens in a new window Opens an external website Opens an external website in a new window Join the InstaDeep journey Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real More ❯

MLOps Engineer A high-performance company who develop software and hardware products for the entertainment, engineering and life science industries are looking for a MLOps Engineer to join the team in Oxford. The team are looking for an excellent ML Ops Engineer to join their research and development team in Oxford, England. This opportunity is to join the ML Operations … Exposure to cloud based systems e.g. AWS, Azure or GCP (they use AWS) Knowledge of Linux systems including scripting and system configuration. Understanding of how ML tools fit into MLOps pipeline Desirable: Programming experience – ideally C++ or Java Background in DevOps – CI systems, Infrastructure-as-code Location – Oxford (Hybrid working 2 days a week onsite) Salary – Up to More ❯

My client, a global fintech company disrupting the world of embedded finance, is seeking a MLOps Engineer to join their team. It is a hybrid role and you will need to be in their London office 3 days per week (Tuesday to Thursday). Regarding daily rate, flexibility is on offer, and the company is still determining whether this is More ❯

Solutions Architect - DevOps/DevSecOps/MLOps Solutions Architect UNITED KINGDOM Solutions Architect - DevOps/DevSecOps/MLOps - LONDON - UNITED KINGDOM Salary: £ 160,000 (80/20 split) Remote Status: Hybrid - 3 days/week Job Description: Looking for a new pure-play Pre-Sales/Sales Engineer role at a market leader in DevOps, DevSecOps, and MLOps Well, this … Represent the company at industry events and conferences Train customers and community members on product capabilities Feed back frontline insights to shape the product roadmap Stay ahead of DevOps & MLOps trends and bring that expertise to every customer conversation This is not a back-office architect role. You'll be front and centre in the sales process - a trusted technical More ❯

excited by the challenge of applying data science at scale. You’ll work closely with cross-functional teams to operationalize models, support product development, and contribute to a modern MLOps pipeline. What You’ll Do Develop and deploy predictive models using behavioural and real-world data Translate complex datasets into actionable insights that improve healthcare outcomes Contribute to the full … and feature engineering to model deployment and monitoring Collaborate with engineering and product teams to ensure models are integrated into production systems via scalable pipelines Champion best practices in MLOps, including CI/CD for ML, model versioning, testing, and monitoring Design experiments (A/B testing, uplift modelling) to measure impact and optimize performance What We’re Looking For … behaviour data—ideally within healthcare, digital health, or related B2C environments Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to More ❯

excited by the challenge of applying data science at scale. You’ll work closely with cross-functional teams to operationalize models, support product development, and contribute to a modern MLOps pipeline. What You’ll Do Develop and deploy predictive models using behavioural and real-world data Translate complex datasets into actionable insights that improve healthcare outcomes Contribute to the full … and feature engineering to model deployment and monitoring Collaborate with engineering and product teams to ensure models are integrated into production systems via scalable pipelines Champion best practices in MLOps, including CI/CD for ML, model versioning, testing, and monitoring Design experiments (A/B testing, uplift modelling) to measure impact and optimize performance What We’re Looking For … behaviour data—ideally within healthcare, digital health, or related B2C environments Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to More ❯

big data workflows Utilize Azure Cloud services (Data Lake, Functions, App Services) for development and deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience … Databricks or Microsoft Fabric Proficiency in Azure cloud services including Data Lake, Functions, and App Services Strong understanding of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language More ❯

enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and … workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience Design CI/CD automation frameworks that incorporate regulatory requirements Develop cloud-native deployment patterns for AI systems across environments Troubleshoot and debug user issues Provide operational and user More ❯

Job description At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for More ❯

Our Company: QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering More ❯

Our Company: QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering More ❯

extensive geospatial information. You will take ownership not only of modeling and metric development but also of the end-to-end ML lifecycle, including deployment and monitoring using modern MLOps frameworks. Collaboration with data engineers and cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation in how healthcare behaviors are understood and acted … Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure) Proactive, creative problem solver with a startup mindset and strong communication skills Comfortable taking technical More ❯

extensive geospatial information. You will take ownership not only of modeling and metric development but also of the end-to-end ML lifecycle, including deployment and monitoring using modern MLOps frameworks. Collaboration with data engineers and cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation in how healthcare behaviors are understood and acted … Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure) Proactive, creative problem solver with a startup mindset and strong communication skills Comfortable taking technical More ❯

will be based on your skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster from Explore Group Were hiring an MLOps Engineer to create and maintain the systems that keep advanced AI models running smoothly at scale. In this role, youll work alongside data science and engineering teams to design production … application architectures, working closely with product and engineering. Drive continuous improvement across the ML lifecycle, from A/B testing to incident response. What Youll Bring 3+ years in MLOps, DevOps, or software engineering focused on ML systems. Familiarity with LLM deployment and operational support. Experience with Docker, Kubernetes, and cloud ML services. Understanding of vector databases and search optimisation More ❯

roadmap and lead the development of AI-first features Productionize ML models, ensuring scalability, performance, and observability Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning) Build systems that integrate AI into key parts of our stack, such as: Forecasting customer demand and renewable generation Dynamic pricing and energy … prioritize for both experimentation and reliability Bonus Familiarity with optimization, time series modeling, or forecasting Experience with large language models (LLMs), RAG, or generative AI in production Background in MLOps or AI infrastructure at scale Competitive salary and a stock options sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs! Paid annual leave Breakfast and dinner More ❯