Software Engineering Lead / Applied AI Engineering
Role details
Job location
Tech stack
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.
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Define technical direction for AI-enhanced services, internal tools, and platform components.
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Drive architecture for model deployment pipelines, inference APIs, and data and feature systems.
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Ensure high-quality delivery across code quality, testing, documentation, and observability.
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Partner with Product, Architecture, and ML Research teams to prioritise and scope work.
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Foster a culture of modern AI development practices - LLM tooling, MLOps, automation.
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Set and enforce DevOps and SecOps standards across the team's services and pipelines.
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Coordinate cross-team dependencies and contribute to roadmap planning.
Requirements
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7+ years in backend, full-stack, ML engineering, or distributed systems.
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2+ years in technical leadership, team leadership, or senior mentoring roles.
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Hands-on experience deploying ML-powered services into production.
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Strong Python and Java - both are in active use across the team's production services.
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Experience with Snowflake/Spark/Databricks or others , CI/CD pipelines, and modern DevOps tooling.
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Solid understanding of SecOps practices and security-conscious system design.
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Demonstrable track record of taking initiative and driving work independently.
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Working knowledge of DevOps and SecOps practices deployment patterns, and security-aware engineering.
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Broad full-stack curiosity: comfortable picking up work outside your primary discipline when the problem demands it.
PREFERRED
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Experience building fraud, identity, risk, or security systems.
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Experience running teams using AI and LLM development tooling and automation.
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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