Senior AI Platform Engineer β€” Production ML & RAG Systems

Senior AI Platform Engineer β€” Production ML & RAG Systems

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deploy multi-agent systems and RAG pipelines for AI workflows.
  • Company: Fast-growing fintech platform transforming AI processes for major financial institutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with founders and growth teams in a dynamic environment.
  • Why this job: Join a cutting-edge team and shape the future of AI in finance.
  • Qualifications: Experience in AI systems, backend services, and data pipelines.

The predicted salary is between 63000 - 77000 Β£ per year.

Model ML is an AI workflow company transforming how major financial institutions build and validate client-ready AI-powered processes.

You will own large portions of our AI agent infrastructure, designing and deploying multi-agent systems and RAG pipelines while delivering features at scale.

Join a fast-growing fintech platform backed by top investors.

You will influence backend services, data pipelines, and deployment stacks, collaborating with founders and growth teams to shape a generational

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Senior AI Platform Engineer β€” Production ML & RAG Systems employer: Model ML

Model ML is an exceptional employer, offering a unique opportunity to work at the forefront of AI innovation in the heart of London. With direct access to experienced founders and a culture that prioritises high trust and impact, employees can expect to grow rapidly while shaping the future of enterprise AI marketing. The competitive salary, meaningful equity, and performance-based incentives further enhance the appeal of joining a team dedicated to building something iconic.

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Contact Details:

Model ML Recruitment Team

We think you need these skills to ace Senior AI Platform Engineer β€” Production ML & RAG Systems

AI Workflow Design
Multi-Agent Systems
RAG Pipelines
Backend Services Development
Data Pipeline Management
Deployment Stack Configuration
Collaboration with Founders