Full‑Stack Machine Learning Engineer
At a glance
Highlights
- Comprehensive benefits package
- Extensive learning and development resources
- Employee resource groups with volunteer time
- Generous holiday allowance
Why this role might suit you
The position provides hands‑on experience designing and deploying ML‑powered services, working with modern MLOps tooling, and collaborating across data science and architecture teams, offering exposure to production‑scale analytics in a regulated environment.
Skills
About the 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. 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. Click here to access benefits specific to your location.
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Questions about this role
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