Senior AI Engineer | GenAI | Information Retrieval | ML | NLP | Hybrid London | Up to £130k
Senior AI Engineer | GenAI | Information Retrieval | ML | NLP | Hybrid London | Up to £130k

Senior AI Engineer | GenAI | Information Retrieval | ML | NLP | Hybrid London | Up to £130k

Full-Time No home office possible
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Senior AI Engineer | GenAI | Information Retrieval | ML | NLP | Hybrid London | Up to £130k

This range is provided by Maze. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

We’re hiring three Senior AI Engineers to join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting‑edge Generative AI, LLMs, NLP, and Information Retrieval, building production systems used by global customers.

You’ll join a highly talented AI organisation (reporting into the Senior ML Manager and work closely with product, backend, and frontend teams to ship impactful, user‑facing AI features.

📌 Open Senior Roles (3 Total)

Build the next generation of customer‑facing GenAI features.

You will:

  • Build LLM-powered workflows, chat systems, and assistant‑style features.
  • Develop simple, reliable systems that solve real customer problems (no over‑engineering).
  • Work closely with product and UX to shape user‑facing AI experiences.
  • Deploy LLM models and agentic components in production.

You bring:

  • Strong hands‑on experience with GenAI, LLMs, agentic frameworks, or chat/workflow apps.
  • Excellent Python and software engineering fundamentals.
  • Solid cloud experience (AWS preferred, GCP/Azure fine).
  • Product‑minded approach and ability to work cross‑functionally.

Own engineering for large‑scale Information Retrieval/NLP pipelines.

You will:

  • Build and optimise retrieval, ranking, and document processing systems.
  • Implement transformers, embeddings, search pipelines and evaluation frameworks.
  • Deploy and maintain ML/IR models in production.

You bring:

  • Experience in document processing, NLP, embeddings, transformers.
  • Python expertise, solid engineering foundations.
  • Experience shipping IR/ML systems in production environments.

Drive applied research within a production‑focused Information Retrieval team.

You will:

  • Research and improve retrieval and NLP models.
  • Design experiments, run evaluations, and iterate on modelling approaches.
  • Collaborate closely with engineering to transition research into production.

You bring:

  • Strong applied research experience (PhD or academic work a plus).
  • Python & cloud experience and ability to contribute to production code when needed.

What We’re Looking For Across All Senior Roles

Technical Requirements

  • Cloud experience (AWS preferred)
  • Experience deploying ML/LLM/IR models
  • Background in at least one of:
  • LLMs & GenAI
  • Information Retrieval
  • NLP / Document Processing
  • Transformer‑based architectures
  • Agentic or retrieval‑augmented systems

Soft Skills & Mindset

  • Collaborative and pragmatic
  • Comfortable in high‑growth, product‑driven teams
  • Able to work fast without over‑engineering
  • Passionate about modern AI and problem‑solving

These positions do not provide visa sponsorship and require existing right to work in the UK.

Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful.

If your skillset matched, please apply within.

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Contact Detail:

Maze Recruiting Team

Senior AI Engineer | GenAI | Information Retrieval | ML | NLP | Hybrid London | Up to £130k
Maze

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