ML Engineer - 12 months FTC

Lorien; Coventry; Hybrid; GBP 53,000 - 65,000; Full time

Benefits offered by this job

Bonus up to 20%

Hybrid work

26 days holiday

Life assurance

Pension with matched contributions

Training & development

Job summary

Lorien, a UK financial services company, is seeking an ML Engineer to design and optimise ML pipelines and data platforms. You will help industrialise ML models and deliver scalable data solutions in a fast-evolving environment.

The role focuses on ML Ops, data engineering, deployment, monitoring and governance. You will collaborate with data scientists and engineers, work in a hybrid setup with office attendance weekly or fortnightly, and benefit from a comprehensive benefits package.

Qualifications

• Proficient in Python and SQL with strong Spark experience.
• Experience with ML Ops, data engineering and cloud platforms (AWS/Azure).
• Hands-on deployment, monitoring and lifecycle management of ML models.

Responsibilities

• Design, build and maintain scalable ML pipelines and data workflows.
• Deploy, monitor and manage ML models in production.
• Improve processes to boost reliability and performance.
• Develop data engineering solutions to support analytics and ML use cases.
• Ensure model governance, monitoring and observability best practices.
• Collaborate with data scientists, engineers and stakeholders to deliver high-quality solutions.
• Contribute to tooling and engineering standards to support continuous improvement.
• Prior experience in a commercial/Agile environment with ML/DS focus.

Skills

Python

SQL

Spark

ML Ops

Cloud computing

Tools

Docker

Kubernetes

Job description

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 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 lifecycle 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
• Proven experience in ML Ops, data engineering or a related field within a commercial/Agile environment
• Strong programming skills in Python, SQL and/or Spark
• AWS, Azure or alternative relevant experience in another cloud technology
• Hands-on experience with ML model deployment, monitoring and lifecycle management
• Experience building and maintaining data pipelines and workflow orchestration
• Understanding of containerisation and infrastructure tools (e.g. Docker, Kubernetes)
• 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