2 hours 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.
- Use and contribute to AI-assisted development tools.
- Own DevOps and security standards for assigned services.
- Collaborate with data scientists, architects, and QA.
Requirements
- 4+ years of software engineering experience in backend, full-stack, or machine-learning engineering.
- Strong Python and Java skills.
- Experience with Snowflake or a similar data platform.
- Familiarity with ML model serving and feature engineering.
- Working knowledge of DevOps and secure engineering.
- Strong ownership and independent execution.
- 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, wellbeing programs, and life assurance.
- Competitive contributory pension scheme and Save As You Earn share option scheme.
- Travel season ticket loan and Electric Vehicle Scheme.
- Optional dental insurance, parental leave, and Employee Assistance Programme.
- Emergency care access for elderly relatives and children.
- RECARES days for supporting charities and causes, employee resource groups with dedicated volunteer time, learning and development resources, and employee discounts via Perks at Work.
- Country-specific benefits and reasonable accommodations during the hiring process.