At a Glance
- Tasks: Build and deploy ML-powered services and full-stack applications for fraud and identity analytics.
- Company: Join LexisNexis Risk Solutions, a leader in data-driven decision tools.
- Benefits: Generous holiday allowance, health benefits, and extensive learning resources.
- Other info: Dynamic work environment with opportunities for career growth and community support.
- Why this job: Make a real impact using cutting-edge technology to enhance safety and efficiency.
- Qualifications: 4+ years in software engineering with strong Python and Java skills.
The predicted salary is between 50000 - 70000 £ per year.
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
Build and deploy ML‑powered services, tools, and full‑stack applications supporting fraud and identity analytics. Work across backend services, model‑serving pipelines, and user interfaces.
Key Responsibilities
- Develop ML inference APIs, microservices, and data/feature pipelines.
- Build full‑stack tools to support model evaluation and transparency.
- Integrate ML models into real‑time production systems.
- Implement automated training, monitoring, and evaluation workflows.
- Use and contribute to AI‑assisted development tools.
- Own DevOps and security standards for assigned services.
- Collaborate with data scientists, architects, and QA.
Required Experience
- 4+ years software engineering (backend, full‑stack, or ML).
- Strong Python and Java.
- Snowflake or similar data‑platform experience.
- Familiarity with ML model serving and feature engineering.
- Strong ownership and independent execution.
- Working knowledge of DevOps and secure engineering.
Preferred Experience
- LLMs, embeddings, or vector databases.
- Behavioural, graph, or anomaly detection models.
- dbt, Snowpark, or Snowflake ML.
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.
Full‑Stack Machine Learning Engineer in London employer: RELX INC
LexisNexis Risk Solutions is an exceptional employer that prioritises employee wellbeing and professional growth, offering a generous holiday allowance, comprehensive health benefits, and extensive learning resources. Our collaborative work culture fosters innovation and supports meaningful contributions to community safety and operational efficiency, making it an ideal environment for Full-Stack Machine Learning Engineers looking to make a real impact.
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