Full‑Stack Machine Learning Engineer
LexisNexis Risk Solutions1 hour ago
London, United KingdomMid Level
Responsibilities
- Develop ML inference APIs, backend microservices, and data and feature pipelines.
- Build full-stack tools supporting model evaluation and transparency.
- Integrate machine-learning models into real-time production systems.
- Implement automated training, monitoring, and evaluation workflows.
- Own DevOps and security standards for assigned services.
- Collaborate with data scientists, architects, and QA.
- Use and contribute to AI-assisted development tools.
Requirements
- 4+ years of software engineering experience in backend, full-stack, or ML engineering.
- Strong Python and Java skills.
- Experience with Snowflake or a similar data platform.
- Familiarity with ML model serving and feature engineering.
- Strong ownership and independent execution.
- Working knowledge of DevOps and secure engineering.
- Preferred experience with LLMs, embeddings, vector databases, behavioral, graph, or anomaly detection models, dbt, Snowpark, or Snowflake ML.
Benefits
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers, private medical benefits, optional dental insurance, and wellbeing programs.
- Life assurance and a competitive contributory pension scheme.
- Save As You Earn share option scheme, travel season ticket loan, and Electric Vehicle Scheme.
- Maternity, paternity, and shared parental leave.
- Employee Assistance Programme and emergency care access for elderly people and children.
- RECARES days, employee resource groups with dedicated volunteer time, learning and development resources, and employee discounts via Perks at Work.
- Country-specific benefits and accommodations during the hiring process are available.
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