At a Glance
- Tasks: Lead innovative ML projects to enhance financial workflows and drive impactful solutions.
- Company: Fast-growing fintech with a focus on quality and collaboration.
- Benefits: Top-tier compensation, equity options, remote work, and a generous learning budget.
- Other info: Dynamic role with opportunities for strategic problem-solving and cross-functional collaboration.
- Why this job: Make a real difference in the fintech space while working with cutting-edge technology.
- Qualifications: 5-10+ years in applied ML with hands-on experience in LLM applications.
The predicted salary is between 75600 - 92400 £ per year.
Overview
In this role you will own end-to-end LLM/ML initiatives that improve core financial workflows such as invoice understanding and reconciliation.
You’ll shape models from framing to deployment, working closely with Platform/Data Eng to drive adoption.
You’ll tackle production-grade ML challenges, from evaluation and monitoring to cost-aware deployment.
The position offers impact at scale within a fast-growing fintech, with a strong emphasis on quality and collaboration.
- Pay / Benefits
- Top-of-market compensation including equity
- 20 days work from abroad
- 600EUR Learning & Development Budget
- local benefits
Responsibilities
- Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations
- Define evaluation & monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking
- Productionize with Platform/Data Eng: bring models live and iterate until adopted by stakeholders
- Key requirements
- 5-10+ years in applied ML with production ownership
- Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production
- Strong Python + ML stack (scikit-learn, XGBoost/Light GBM, Py Torch/TF) and solid experiment/evaluation skills
- Strategic problem solver with ability to frame data science solutions in business context
- End-to-End executor owning projects from ideation to production and maintenance
- Strategic thinking
- Independent problem solving
- Cross-functional collaboration
- Python
- ML stack (scikit-learn, XGBoost, Light GBM, Py Torch, Tensor Flow)
- LLM app/agent capabilities (tool use, function calling, RAG, structured outputs, guardrails)
Senior Data Scientist (f/m/d) in London employer: Nufin
Moss is an exceptional employer, offering a dynamic work culture that prioritises impact and growth, making it an ideal environment for an Applied AI Engineer. With top-of-market compensation, a strong focus on employee development, and the opportunity to collaborate with diverse teams across Europe, Moss empowers its employees to innovate and excel in their careers while enjoying unique benefits like flexible working arrangements and a generous learning budget. Join us in Berlin, where you can be part of a vibrant team dedicated to transforming finance through cutting-edge AI technology.
