At a Glance
- Tasks: Lead a dynamic team to develop AI-powered tools for fraud detection and digital identity.
- Company: Join LexisNexis Risk Solutions, a leader in data analytics and risk management.
- Benefits: Enjoy generous holidays, health benefits, and extensive learning resources.
- Other info: Flexible work environment with opportunities for personal and professional growth.
- Why this job: Make a real impact with cutting-edge technology while leading a talented engineering team.
- Qualifications: 7+ years in engineering, with strong leadership and ML experience required.
The predicted salary is between 70000 - 90000 £ per year.
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.
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
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants.
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.
Software Engineering Lead / Applied AI Engineering in London employer: LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in a dynamic work environment. Our commitment to employee well-being is reflected in our generous benefits package, extensive learning opportunities, and a culture that encourages personal and professional growth. Join us in our mission to enhance operational efficiency and make communities safer through cutting-edge AI technology, all while enjoying a supportive workplace that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Lead / Applied AI Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and ML. This is your chance to demonstrate your technical prowess and leadership experience in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and leadership scenarios. Practice explaining your thought process and how you've led teams in the past. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at LexisNexis Risk Solutions.
We think you need these skills to ace Software Engineering Lead / Applied AI Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineering Lead role. Highlight your leadership experience and any hands-on work with AI technologies, as this is what we’re really looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your background makes you the perfect fit for leading our engineering team. Don’t forget to mention specific projects or achievements!
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include relevant programming languages like Python and Java, as well as any experience with ML services or DevOps practices. This will help us understand your capabilities right off the bat.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at LexisNexis Risk Solutions!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Java. Brush up on your experience with ML engineering and distributed systems, as you'll need to demonstrate your hands-on knowledge during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or mentored engineers in the past. Highlight your ability to foster a culture of modern AI development practices and how you've driven initiatives independently. This will show that you're ready for a lead role.
✨Understand the Business Context
Familiarise yourself with LexisNexis Risk Solutions and their focus on risk evaluation and operational efficiency. Be ready to discuss how your technical skills can contribute to their mission of making communities safer and business decisions easier.
✨Prepare Questions for Them
Think of insightful questions to ask about the team dynamics, project priorities, and the company’s approach to AI development. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
