Women in Data®
Software Engineering Lead / Applied AI Engineering
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About the Role
As a technical leader, you will guide a multidisciplinary engineering team responsible for delivering AI-enhanced products, internal tools, and platform capabilities. You will combine hands-on technical expertise with people leadership, helping the team build scalable, secure, and reliable machine learning services while driving innovation and operational excellence.
Responsibilities
- Lead and grow a team of full-stack ML engineers, QA engineers, and a UI developer.
- Define technical direction for AI-enhanced services, internal tools, and platform components.
- Drive architecture for model deployment pipelines, inference APIs, and data and feature systems.
- Ensure high-quality delivery across code quality, testing, documentation, and observability.
- Partner with Product, Architecture, and ML Research teams to prioritise and scope work.
- Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation.
- Set and enforce DevOps and SecOps standards across the team's services and pipelines.
- Coordinate cross-team dependencies and contribute to roadmap planning.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- 7+ years in backend, full-stack, ML engineering, or distributed systems.
- 2+ years in technical leadership, team leadership, or senior mentoring roles.
- Hands-on experience deploying ML-powered services into production.
- Strong Python and Java, both of which are in active use across the team's production services.
- Experience with Snowflake, Spark, Databricks or similar technologies, CI/CD pipelines, and modern DevOps tooling.
- Solid understanding of SecOps practices and security-conscious system design.
- Demonstrable track record of taking initiative and driving work independently.
- Broad full-stack curiosity, with the ability to contribute outside a primary discipline when needed.
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Women in Data® advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.
Stay connected! Follow us on LinkedIn for updates on career opportunities and more.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location