Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Vermelo RPO
verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension, private healthcare, and bonus scheme Training More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
DCS Recruitment
production deployment. Proficiency with machine learning frameworks Strong programming skills in Python; familiarity with cloud AI platforms such as Azure, AWS, or Google Cloud Platform (GCP). Experience with MLOps practices, including CI/CD pipelines for AI models, monitoring, and version control. Deep understanding of AI algorithms Desirable Attributes Experience working in fast-paced, high-growth, or regulated industry More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
First Central Services
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 ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Starling Bank
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 ❯
