Software Engineering Lead / Applied AI Engineering

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