ML Ops Engineer (Databricks Experience) - 12 months FTC

You will join one of the UK''s leading financial services companies, where innovation and continuous improvement are at the heart of everything they do. The business is undergoing an exciting transformation in how data and machine learning capabilities are developed, deployed and scaled to better serve customers and stakeholders.Our client is looking for an ML Ops Engineer to play a key role in designing, building and optimising machine learning pipelines and data platforms. This is a highly impactful role, enabling the organisation to industrialise machine learning models and deliver scalable, reliable and efficient data solutions.Key ResponsibilitiesDesign, build and maintain scalable machine learning pipelines and data workflowsSupport the deployment, monitoring and life cycle management of ML models in productionImprove and automate processes to enhance efficiency, reliability and performanceDevelop robust data engineering solutions to support analytics and ML use casesEnsure best practices in model governance, monitoring, and observability are followedCollaborate with data scientists, engineers and stakeholders to deliver high-quality solutionsContribute to continuous improvement of tools, frameworks and engineering standardsEssential SkillsProven experience in ML Ops, data engineering or a related field within a commercial/Agile environmentDatabricks Strong programming skills in Python, SQL and/or SparkAWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant ..... full job details .....