AI/ML Lead – Lending Automation & GenAI Orchestration

Job Summary:

Were looking for a hands-on AI/ML Lead who can design and deliver AI-powered solutions while guiding developers on how to integrate them into our core platform. Expect to spend roughly 50 % of your time writing and shipping code and 50 % shaping architecture, mentoring the team, and representing AI to stakeholders. Youll work on NLP-driven document parsing, GenAI orchestration for lending workflows, and valuation automation. Youll be comfortable integrating existing AI APIs, managing model lifecycles, and ensuring our data is AI-ready. Youll report to the Engineering Lead and work closely with the data engineering team, product managers, and UK stakeholders.

Key Responsibilities:

• Architect and implement AI features aligned to our lending workflows starting with NLP, valuation automation, and orchestration
• Work hands-on to build prototypes, integrate APIs (OpenAI, Claude, AWS Comprehend, etc.), and ship production-ready features
• Guide our data team on what data needs to be captured and structured for optimal AI use
• Manage model lifecycles from selection and integration to monitoring, fine-tuning, and retraining
• Orchestrate multi-step GenAI processes that interact with multiple PRD modules (e.g., Credit Committee Pack Builder, Comms parsing)
• Work with product to define KPIs, measure AI feature impact, and maintain high satisfaction rates
• Collaborate with the Engineering Lead to ensure AI components integrate smoothly with the Node/React platform
• Present AI concepts, prototypes, and outcomes to UK-based stakeholders in a clear, business-oriented way
• Keep up-to-date with AI trends and recommend new tools and techniques that can accelerate delivery or improve accuracy

Key Requirements:

• 712 years of total experience, with at least 3 years hands-on in AI/ML development and architecture
• Proven track record integrating AI APIs and deploying GenAI-driven features into production
• Experience with NLP workflows document ingestion, entity extraction, summarisation, sentiment analysis, etc.
• Strong grasp of AI orchestration building multi-step workflows combining APIs, prompts, and business rules
• Hands-on coding ability (Python strongly preferred for AI, familiarity with JS/TS for integration a plus)
• Understanding of data requirements for AI and ability to guide data teams on schema and storage decisions
• Experience with model lifecycle management evaluation, bias checking, retraining
• Strong communication and presentation skills for non-technical stakeholders
• Experience working alongside software developers to embed AI features into a production web platform
• Bachelors or Masters in Computer Science, AI/ML, or related field

Bonus

• Experience in fintech or lending platforms
• Experience with vector databases, RAG (retrieval-augmented generation) patterns, and prompt engineering

What Success Looks Like

• Three AI features shipped to production in 12 months
• 80%+ satisfaction rating from internal users and stakeholders
• AI features reduce manual work and improve process speed without quality drop
• Data team aligned on AI data readiness
• Stakeholders clearly see value in AI roadmap and outputs