14 of 14 Remote MLOps Jobs in the North of England

numerate degree (e.g. Maths, Stats, Engineering, Computer Science). Desirable: Experience using Databricks or working in a cloud-based environment like Azure. Exposure to MLOps, version control, or productionising models. Experience working with Jira and Confluence in an Agile environment is advantageous. Streamlit, Power BI or other standard BI software More ❯

Strong proficiency in Python and SQL. Hands-on experience with Power BI or similar data visualisation tools. familiarity with version control (e.g., Git) and MLOps principles. Great communication skills both verbally and written. The role is offering a salary of up to £50,000 per annum and comes with a More ❯

growth-focused role perfect for someone with a solid technical foundation and a hunger to dive deep into the evolving world of Generative AI, MLOps, and cloud infrastructure. We value in-person collaboration here at Matillion, therefore this role will follow our hybrid work structure where employees work 2 days More ❯

comprehensive model monitoring. Develop model training and evaluation pipelines to accelerate model development/deployment adhering to software development best practices (CI/CD & MLOps) Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling. Requirements You have at least More ❯

and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally … as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data More ❯

and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally … as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data More ❯

projects aligned with business priorities. Model Development : Build, test, and deploy predictive and optimisation models using Databricks, Azure, and Python , incorporating best practices in MLOps and governance. Insight Generation : Translate complex datasets into accessible and actionable insights using Power BI and other visualisation tools. Stakeholder Collaboration : Partner with cross-functional … with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, Python, SQL, and data visualisation using open source libraries. Experience with modern MLOps practices for deploying and maintaining models in production. Excellent communication skills - able to simplify technical concepts for varied audiences. Strong problem-solving skills and a More ❯

through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to … learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous consultancy or More ❯

through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to … learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous consultancy or More ❯

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges More ❯

and microservices to serve AI models at scale. Integrate behavioural intelligence models across cloud platforms (AWS, GCP, Azure). Set up end-to-end MLOps pipelines: monitoring, retraining, and automation. Collaborate with cross-functional teams to align tech with user-centric product design. What We’re Looking For: 2+ years … components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. Bonus: Familiarity with behavioural biometrics, sensor-based or time series data More ❯

Job Description DevOps Architect with AWS Our Client is an established international company with offices in Leeds UK. The looking to recruit a DevOps Architect with at least 3 to 5 years expertise as DevOps Architect around an AWS environment. More ❯

Attend client facing meetings, explaining the solutions on offer. Use SQL to extract, clean, and transform data from complex databases. Contribute to and improve MLOps workflows for scalable, maintainable model deployment. Clearly present insights and recommendations to both internal teams and client stakeholders. Preferred Requirements: BSc or MSc in a … of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment, version control, and monitoring would be a great plus. A strong interest will also be considered. Self-driven with the ability to More ❯

TrueNorth are working with a global organisation who are looking for their first Enterprise Data Architect to join a new function that is being created in the company. You'll be instrumental in designing the data architecture for the org More ❯