Software Engineering Lead / Applied AI Engineering

Women in Data®; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

LexisNexis Risk Solutions in the UK seeks a technical leader to guide a multidisciplinary engineering team delivering AI-enhanced products, internal tools, and platform capabilities. You will combine hands-on technical expertise with people leadership to build scalable, secure ML services while driving innovation and operational excellence at scale.

You will partner with Product, Architecture, and ML Research teams to define direction, architecture, and deployment pipelines, while championing

Qualifications

• 7+ years in backend, full-stack, ML engineering, or distributed systems.
• 2+ years in technical leadership or senior mentoring roles.
• Hands-on experience deploying ML-powered services into production.
• Strong Python and Java in active production use.
• Experience with Snowflake, Spark, Databricks, CI/CD and DevOps tooling.
• Security-conscious system design and SecOps practices.
• Initiative, independence, and broad full-stack curiosity.

Responsibilities

• Lead and grow a team of ML engineers, QA engineers, and a UI developer.
• Define technical direction for AI-enabled services, internal tools, and platform components.
• Drive architecture for deployment pipelines, inference APIs, and data/feature systems.
• Ensure high-quality delivery across code, testing, docs, and observability.
• Partner with Product, Architecture, and ML Research to prioritise work.
• Foster modern AI development practices, including MLOps and automation.
• Set and enforce DevOps and SecOps standards across services and pipelines.
• Coordinate cross-team dependencies and contribute to roadmap planning.

Skills

Backend engineering

Full-stack development

ML engineering

Distributed systems

Python

Java

Tools

Snowflake

Spark

Databricks

CI/CD

DevOps tooling

Job description

What if you could lead a team shaping the next generation of AI-powered risk solutions that help businesses make faster, smarter, and more secure decisions?

Are you excited by the opportunity to combine technical leadership, machine learning, and platform engineering to deliver real-world impact at scale?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

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.

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.

Learn more about the LexisNexis Risk team and how we work here

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