ML Engineer - 12 months FTC

Lorien; Coventry; Hybrid; GBP 59,000 - 71,000; Full time

Benefits offered by this job

Life assurance (6x annual salary)

Pension with matched contributions

Hybrid working: office once a week or

Job summary

Lorien is seeking an ML Engineer in the UK to design, build and optimise machine learning pipelines and data platforms. You will enable industrialisation of ML models and deliver scalable data solutions in a hybrid work setting.

The role requires hands-on ML deployment, monitoring and lifecycle management, with strong coding skills in Python, SQL and Spark, and experience on AWS/Azure or similar clouds. Salary up to £59,000 plus a 20% bonus.

Qualifications

• Experience designing ML pipelines and data workflows.
• Proficiency in Python/SQL/Spark.
• Experience with ML Ops and data engineering in Agile settings.

Responsibilities

• Design, build and maintain scalable ML pipelines and data workflows.
• Deploy, monitor and lifecycle-manage ML models in production.
• Automate processes to improve efficiency, reliability and performance.
• Develop robust data engineering solutions for analytics and ML use cases.
• Follow governance, monitoring and observability practices for models.
• Collaborate with data scientists, engineers and stakeholders to deliver high-quality solutions.
• Contribute to tooling and engineering standards.

Skills

Python

SQL

Spark

ML Ops

Data Pipelines

Docker

Kubernetes

Cloud Platforms (AWS/Azure)

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