Software Engineering Lead / Applied AI Engineering

RELX Group
Charing Cross, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Java
API
Artificial Intelligence
Software Quality
Computer Security
DevOps
Distributed Systems
Fraud Prevention and Detection
Monitoring of Systems
Python
Machine Learning
Software Engineering
Large Language Models
Snowflake
Spark
AI Platforms
Machine Learning Operations
Databricks

Job description

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., * 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.

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.

Benefits & conditions

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

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