AI Engineer - Python

Hunter Bond; Greater London; Hybrid; GBP 45,000 - 75,000; Full time

Job summary

Hunter Bond in London is seeking an AI Engineer to help transform data and AI capabilities within a regulated financial services environment. Hybrid work arrangement in a dynamic technology team, focusing on secure, scalable AI solutions.

You will design data pipelines, deploy AI and automation, and collaborate with business and technical stakeholders to deliver value. Strong Python/SQL and cloud experience are essential for success.

Qualifications

• Proficient in Python and SQL with data engineering or software development experience.
• Experience with cloud data platforms (Snowflake), APIs and Power BI.
• Exposure to AI technologies, ML, LLMs or automation frameworks in a commercial setting.
• Strong communication and collaboration across technical and non-technical teams.

Responsibilities

• Design and build data pipelines and AI-enabled solutions.
• Develop and deploy AI, automation and analytics capabilities, including generative AI.
• Collaborate with stakeholders to deliver scalable, secure and governed solutions.
• Create reporting dashboards and support testing, documentation and continuous improvement.

Skills

Python

SQL

Data engineering

APIs

Tools

Snowflake

Power BI

Cloud platforms

Job description

Overview

Role: AI Engineer

Location: London

Type: Hybrid

Salary: Up To £75,000 P/A + Comps

The role

We’re partnering with a leading financial services organisation undergoing an exciting transformation in AI, data and automation. This is an opportunity to join a collaborative technology team delivering secure, scalable AI solutions that drive real business value. You’ll work across the full solution lifecycle, helping to turn innovative ideas into production-ready tools within a highly regulated environment.

Responsibilities

• Design and build data pipelines and AI-enabled solutions to support business and operational processes.
• Develop and deploy AI, automation and analytics capabilities, including generative AI and workflow optimisation.
• Collaborate with technical and business stakeholders to deliver scalable, secure and well-governed solutions.
• Create reporting and monitoring dashboards while supporting testing, documentation and continuous improvement.

Qualifications

• Strong experience with Python and SQL, alongside data engineering or software development skills.
• Hands-on experience with cloud data platforms (e.g. Snowflake), APIs and BI tools such as Power BI.
• Exposure to AI technologies, machine learning, LLMs or automation frameworks within a commercial environment.
• Excellent communication skills with the ability to work across technical and non-technical teams in a structured, delivery-focused setting.

Interested?

If you’re passionate about applying AI and data engineering to solve real business challenges and want to work on innovative projects in a collaborative environment, we’d love to hear from you. Apply today or get in touch for a confidential conversation.