Would you enjoy working on our cutting-edge products?

Are you ready for a lead Engineer role?

About the Business

LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, https://risk.lexisnexis.com/

About the role:
You will lead a multidisciplinary engineering team delivering AI-powered services and tools for digital identity, fraud detection, and behavioural intelligence. The role spans technical leadership, delivery management, hands-on architecture, and coaching of engineers in a rapidly evolving AI platform environment.

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 — LLM tooling, MLOps, automation.

• Set and enforce DevOps and SecOps standards across the team's services and pipelines.

• Coordinate cross-team dependencies and contribute to roadmap planning.

• Support hiring, onboarding, and performance development within the team.

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 are in active use across the team's production services.

• Experience with Snowflake/Spark/Databricks or others , 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.

• Working knowledge of DevOps and SecOps practices deployment patterns, and security-aware engineering.

• Broad full-stack curiosity: comfortable picking up work outside your primary discipline when the problem demands it.

PREFERRED

• Experience building fraud, identity, risk, or security systems.

• Experience running teams using AI and LLM development tooling and automation.

• Knowledge of feature stores, model monitoring, or real-time scoring systems.

Working for you:

We offer a range of benefits to support your wellbeing and life outside work, including:

Generous holiday allowance with the option to buy additional days
Health screening, eye care vouchers and private medical benefits
Wellbeing programs
Life assurance
Access to a competitive contributory pension scheme
Save As You Earn share option scheme
Travel Season ticket loan
Electric Vehicle Scheme
Optional Dental Insurance
Maternity, paternity and shared parental leave
Employee Assistance Programme
Access to emergency care for both the elderly and children
RECARES days, giving you time to support the charities and causes that matter to you
Access to employee resource groups with dedicated time to volunteer
Access to extensive learning and development resources
Access to employee discounts scheme via Perks at Work
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.

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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.

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Software Engineering Lead / Applied AI Engineering