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 Responsibilities

• Design, build and maintain scalable machine learning pipelines and data workflows
• Support the deployment, monitoring and life cycle management of ML models in production
• Improve and automate processes to enhance efficiency, reliability and performance
• Develop robust data engineering solutions to support analytics and ML use cases
• Ensure best practices in model governance, monitoring, and observability are followed
• Collaborate with data scientists, engineers and stakeholders to deliver high-quality solutions
• Contribute to continuous improvement of tools, frameworks and engineering standards

Essential Skills

• Proven experience in ML Ops, data engineering or a related field within a commercial/Agile environment
• Databricks
• Strong programming skills in Python, SQL and/or Spark
• AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology)
• Hands-on experience with ML model deployment, monitoring and life cycle management
• Experience building and maintaining data pipelines and workflow orchestration
• Understanding of containerisation and infrastructure tools (eg Docker, Kubernetes)

Benefits

• Salary up to £59,000 + up to 20% bonus
• Hybrid working: Once a week or fortnight in the office
• 28 days holiday plus bank holidays (option to buy and sell)
• Life assurance (6x annual salary)
• Personal pension with matched contributions
• Ongoing training and opportunities for development

#J-18808-Ljbffr