Data & AI Engineer

developrec
Greater London, UK
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Python (Programming Language) Machine Learning Commercial Software Google Cloud Large Language Models AI Platforms Information Technology GPT

Job description

You’ll work as part of a small engineering team developing AI-powered products and supporting the delivery of solutions for clients operating within financial services.

The business embraces AI tooling as part of everyday development, and engineers are encouraged to explore new technologies, experiment and contribute ideas from day one.

You’ll be involved in building applications, processing and modelling data, integrating AI services and helping shape the future direction of the platform.

Requirements

  • Around 2 years of commercial software engineering experience
  • Experience working with LLM APIs or AI tooling
  • Ability to work independently and take ownership of work
  • Computer Science degree or similar technical background
  • Exposure to Python
  • Interest in AI, machine learning and emerging technologies
  • Familiarity with tools such as Claude Code, ChatGPT or similar AI assistants
  • RAG implementations
  • Azure or Google Cloud exposure
  • Knowledge of financial services data

Benefits & conditions

  • Share options
  • Hybrid working (London, 1-2 days per week)
  • Strong learning and development opportunities
  • Opportunity to work alongside experienced AI engineers and technical leaders

About the company

We’re working with a rapidly growing AI-focused fintech business that is expanding its engineering team following the launch of a new data and intelligence platform.

They are looking to hire Data & AI Engineers at both Junior and Mid-Level, offering the opportunity to work with cutting-edge AI technologies in a highly collaborative environment.

This is an excellent opportunity for engineers who are passionate about AI and want to gain hands-on experience building real-world applications using modern language models and data technologies.

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