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# Senior Machine Learning Engineer I

- **Company:** LexisNexis
- **Location:** Exeter, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Code Review, Python (Programming Language), Machine Learning, Scrum Methodology, Software Engineering, Lexis, Cloud Platform System, Test-Driven Development (TDD), Generative AI, Agentic-AI, Pandas, Amazon Relational Database Service, Pytest, Infrastructure Automation Frameworks, Terraform, Atlassian Bamboo
- **Published:** October 3, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-machine-learning-engineer-i/50167071

## About the Role

and presentation skills, with the ability to engage varied audiences.Experience with Azure Pipelines and Terraform is desirable, but not essential.Work in a Way that Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.About the BusinessLexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis

## Description

high-performance and cost-efficient services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.Mentor junior developers in engineering best practices, including test-driven development with pytest and idiomatic Python.Write and review detailed technical specifications for moderately complex system components.Participate actively in development processes, code reviews and Scrum ceremonies.Collaborate closely with stakeholders across the organisation.RequirementsExperience working with modern Python codebases.Experience with AWS or a comparable cloud platform, including infrastructure-as-code practices. A solid understanding of software engineering principles, techniques and delivery processes.Experience with generative AI and agentic AI systems. Strong interpersonal, communication