Industry: FinTech
Location: London, hybrid
Salary: Up to £100,000
Main Function: Develop ML systems to enhance customer experiences through personalised solutions.
What You’ll Focus On
- Deploy and operationalise data scientist prototypes.
- Fine-tune training and deployment for cost-effective performance.
- Build foundational ML architecture and model deployment strategies.
- Collaborate with data scientists on transfer learning and model improvement.
- Monitor ML systems to ensure sustained performance and optimisation.
- Contribute to data strategy and decision science for long-term ML success.
What We’re Looking For:
- 3+ years of experience managing ML models in production environments.
- 2+ year of end-to-end ML system development.
- Expertise in setting up model-serving APIs for production use.
- Proficiency in model tuning, evaluation, and cost/performance optimisation.
- Familiarity with feature stores for signal consolidation and training.
- Experience with ML model tracking, versioning, and governance.
- Bonus: Deployment experience with Databricks, Azure, or ML Flow.
- Bonus: Experience deploying open-source LLMs in customer-facing settings.
- Bonus: End-to-end system setup, including architecture and governance.
Why You’ll Thrive:
- Work on cutting-edge ML systems to improve customer experiences in fintech.
- Competitive salary and benefits.
- A dynamic, startup-like environment with a focus on innovation.
- Autonomy in choosing patterns and frameworks for ML deployment.
- Opportunities for professional growth and impact.