Senior Data & AI Engineer

develop; Greater London; Hybrid; GBP 51,000 - 85,000; Full time

Job summary

develop is seeking a Senior Data & AI Engineer in London to design and deliver AI-powered solutions for clients and internal products. The role emphasizes production-ready AI, prompt engineering and robust evaluation, with a focus on data engineering and scalable data ingestion.

The candidate will collaborate with stakeholders, own delivery outcomes, and contribute to a growth-oriented consultancy that values cutting-edge AI tools and practical applications.

Qualifications

• 4–5+ years of commercial software engineering experience.
• Experience building AI-powered applications using LLMs.
• Experience evaluating model outputs and mitigating hallucinations.
• Ability to communicate effectively with stakeholders and clients.
• Self-starter mentality with a high degree of ownership.
• Passion for AI and emerging technologies.
• Retrieval-Augmented Generation (RAG).
• Data engineering and large-scale data ingestion.
• Azure or Google Cloud.
• Financial services, ESG or investment industry exposure.
• Data modelling and architecture.

Responsibilities

• Build AI-powered solutions for client projects and the consultancy's own products.
• Focus on practical AI implementation, including prompt engineering, output evaluation, reliability improvements and integration of LLMs into production systems.
• Collaborate with stakeholders to solve complex business problems using data and AI technologies.
• Work in a scale-up environment with autonomy, ownership and opportunities to influence outcomes.

Skills

LLMs

AI engineering

Data ingestion

Stakeholder comms

Ownership

RAG

Data modelling

Tools

Azure

Google Cloud

Python

Job description

Senior Data & AI Engineer | Up to £85k | Hybrid London (1-2 Days per Week) | Python, AI & Data

We're partnered with a growing AI and data consultancy that works with investment managers, pension schemes and financial institutions to deliver AI-powered products, data solutions and intelligent automation.

Following continued growth and investment in its technology function, the business is looking to expand its current team across junior to senior roles.

This is an opportunity to join a highly collaborative engineering team where AI is embedded into day-to-day development. You'll work on a combination of client projects and proprietary products, helping to solve complex problems using modern software engineering, data and AI technologies.

The Role

As a Senior Data & AI Engineer, you'll be responsible for building AI-powered solutions for both client projects and the consultancy's own products.

The role is heavily focused on practical AI implementation, including prompt engineering, output evaluation, reliability improvements and integrating LLMs into production systems.

You'll work closely with technical and non-technical stakeholders, helping to solve complex business problems using data and AI technologies.

This environment suits engineers who enjoy autonomy, ownership and working within a scale-up business where there is plenty of opportunity to influence outcomes.

Key Requirements

• 4-5+ years of commercial software engineering experience
• Experience building AI-powered applications using LLMs
• Experience evaluating model outputs and mitigating hallucinations
• Ability to communicate effectively with stakeholders and clients
• Self-starter mentality with a high degree of ownership
• Passion for AI and emerging technologies
• Retrieval-Augmented Generation (RAG)
• Data engineering and large-scale data ingestion
• Azure or Google Cloud
• Financial services, ESG or investment industry exposure
• Data modelling and architecture

Why Join?

• Work with cutting-edge AI technologies on real-world projects
• Join a growing consultancy at an exciting stage of its journey
• Opportunity to contribute to both client solutions and proprietary products
• Small, collaborative engineering team with direct access to leadership
• Modern engineering environment that actively embraces AI tools and workflows
• Genuine opportunity to influence technical direction and product development