AI Research Engineer - Agentic ML for FinCrime (Equity) in London

AI Research Engineer - Agentic ML for FinCrime (Equity) in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop AI models to automate compliance workflows and enhance fintech operations.
  • Company: Arva AI, a leader in innovative fintech solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Fast-paced environment with significant career advancement potential.
  • Why this job: Join a cutting-edge team and make a real impact in the fight against financial crime.
  • Qualifications: Experience in machine learning and a passion for AI research.

The predicted salary is between 80000 - 100000 Β£ per year.

Arva AI is seeking an AI Research Engineer to develop and refine core models powering automated AML and KYC workflows.

You will lead applied ML research, fine-tuning LLMs and vision models to automate 80% of manual reviews.

This role directly scales compliance operations for high-growth global fintechs.

You will design evaluation frameworks, implement backtests, and build end-to-end pipelines with a focus on production-grade reliability and performance.

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AI Research Engineer - Agentic ML for FinCrime (Equity) in London employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace AI Research Engineer - Agentic ML for FinCrime (Equity) in London

Machine Learning
Large Language Models (LLMs)
Computer Vision
Automated AML and KYC Workflows
Model Fine-Tuning
Evaluation Frameworks
Backtesting