Full-Stack Machine Learning Engineer

Salary: £56,000 - 96,000 per year

• 4+ years of software engineering experience in backend, full-stack, or ML roles
• Strong Python and Java skills
• Experience with Snowflake or a similar data platform
• Familiarity with ML model serving and feature engineering
• Strong ownership and ability to execute independently
• Working knowledge of DevOps and secure engineering
• Preferred experience with LLMs, embeddings, or vector databases
• Preferred experience with behavioural, graph, or anomaly detection models
• Preferred experience with dbt, Snowpark, or Snowflake ML

• Build and deploy ML-powered services, tools, and full-stack applications supporting fraud and identity analytics
• Develop ML inference APIs, microservices, and data or 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

• AI
• Backend
• DevOps
• Support
• Java
• Model Serving
• Python
• Security
• Snowflake
• dbt
• microservices
• Fullstack

More:

We are LexisNexis Risk Solutions, and we provide customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to help evaluate and predict risk while improving operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions, bringing clarity to information to help make communities safer, commerce more transparent, business decisions easier, and processes more efficient. This is a full-time role based in London, UK. 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, private medical benefits, wellbeing programs, life assurance, a contributory pension scheme, share option scheme, travel season ticket loan, an electric vehicle scheme, optional dental insurance, parental leave, an employee assistance programme, emergency care support, RECARES days, employee resource groups, learning and development resources, and employee discounts via Perks at Work. We are committed to a fair and accessible hiring process and provide country-specific benefits.

last updated 36 week of 2026