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Stack Machine Learning Engineer

Job in London, Greater London, W1B, England, UK
Listing for: LexisNexis Risk Solutions Group
Full Time position
Listed on 2026-09-03
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, AI Engineer (Applied/Software), Software Engineer
Job Description & How to Apply Below
Position: Full‑Stack Machine Learning Engineer
About the Business Lexis Nexis  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 Lexis Nexis Risk solutions at the link below,  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 Dev Ops and security standards for assigned services.

Collaborate with data scientists, architects, and QA.Required Experience4+ 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 Dev Ops 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 childrenRECARES 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 Lexis Nexis 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.  to 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 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 scams here.

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.

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EEO Know Your Rights.

Summary

Location:

UK - London (London Wall)
Type:
Full time
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