AI Scientist for Fintech Automation & ML Pipelines

Lendable; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health coverage

Flexible working

Hybrid roles

Office meals & snacks

Employee referral programme

Job summary

Lendable is a fintech company building AI-driven lending tech, based in the UK. The role focuses on applied AI engineering, Python development and scalable AI workflows across chatbots, document parsing and automation.

You’ll work in small teams to ship reliable AI services and influence product decisions. As part of a hands-on team, you will own end-to-end AI solutions, test ideas quickly and iterate on feedback to improve automation and customer outcomes.

Qualifications

• Strong engineering skills with production systems experience.
• Hands-on experience using LLMs in real workflows.
• Experience designing prompts, retrieval pipelines and agent workflows.
• Understanding of business processes and where AI can automate them.
• Ability to structure ambiguous problems, test hypotheses and progress with partial information.
• Clear communication and ability to influence stakeholders.

Responsibilities

• Improve chatbot quality and expand autonomous account actions.
• Extend in-house document extraction pipelines for speed and accuracy.
• Design LLM-driven workflows to simplify case management.
• Identify opportunities to replace manual work with AI systems.
• Own solutions from discovery through deployment and monitoring.

Skills

Production systems

LLMs in workflows

Prompts & pipelines

Python development

Tools

Python

Retrieval pipelines

Agent workflows

Job description

Lendable is a fintech company building AI-driven lending tech, based in the UK. The role focuses on applied AI engineering, Python development and scalable AI workflows across chatbots, document parsing and automation.

You’ll work in small teams to ship reliable AI services and influence product decisions. As part of a hands-on team, you will own end-to-end AI solutions, test ideas quickly and iterate on feedback to improve automation and customer outcomes.