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Salary
$54k – $150k per year (Estimated)
Location
In office (London)
Seniority
Middle · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
RELX is a global provider of information-based analytics and decision tools headquartered in London, United Kingdom. Tracing its roots back to 1880 and formerly known as Reed Elsevier, the publicly traded conglomerate operates across four primary business segments: Risk, Scientific, Technical & Medical, Legal, and Exhibitions.

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. You can learn more about LexisNexis Risk solutions at the link below, https://risk.lexisnexis.com/

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

  • Learn more about the LexisNexis Risk team and how we work here

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.

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. Learn more about spotting and avoiding scamshere.

Please read our Candidate Privacy Policy.

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.

USA Job Seekers:

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