Software Engineering Lead / Applied AI Engineering
About this role
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.
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here




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Company at a glance
Renishaw is one of the world's leading engineering and scientific technology companies, with expertise in precision measurement and healthcare. The company supplies products and services used in applications as diverse as jet engine and wind turbine manufacture, through to dentistry and brain surgery. It is also a world leader in the field of additive manufacturing (also referred to as 3D printing), where it designs and makes industrial machines which ‘print' parts from metal powder.
It is a global business, with over 5,000 employees located in the 36 countries where it has wholly owned subsidiary operations. The majority of R&D work takes place in the UK, with the largest manufacturing sites located in the UK, Ireland and India.
For the year ended June 2024 Renishaw recorded sales of £691.3 million of which 95% was due to exports. The company's largest markets are China, USA, Japan and Germany.
Renishaw is guided by its purpose: Transforming Tomorrow Together. This means working with its customers to make the products, create the materials, and develop the therapies that are going to be needed for the future.
Top Benefits
- Holiday allowance
- Health screening
- Eye care vouchers
- Private medical benefits
- Wellbeing programs
- Life assurance
- Contributory pension scheme
- Save As You Earn share option scheme
- Travel season ticket loan
- Electric Vehicle Scheme
- Dental Insurance
- Maternity leave
- Paternity leave
- Shared parental leave
- Employee Assistance Programme
- Emergency care for elderly and children
- RECARES days
- Employee resource groups
- Learning and development resources
- Employee discounts
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