TL;DR

Machine Learning Engineer (AI): Developing and implementing machine learning solutions for various projects, focusing on automation and scalability. Focus on collaborating with cross-functional teams to transition models into production-ready systems.

Location: Hybrid working model

Company

%hirify_global% UK is a leading brand in the insurance market, known for providing specialist insurance tailored to diverse customer needs.

What you will do

Contribute to the design and evolution of the Data Science platform.
Automate the end-to-end data science lifecycle using CI/CD and infrastructure as code.
Collaborate with data engineers, software engineers, and business stakeholders.
Write high-quality Python code for model development and deployment.
Participate in architecture discussions and deployment strategies.

Requirements

Proven track record in data science or ML engineering roles.
Strong Python programming skills and software engineering best practices.
Good understanding of core data science principles.
Experience with cloud-native deployment of ML services, particularly in Azure and Databricks.
Experience deploying data science models in production, ideally in regulated industries.

Nice to have

Experience with LLMs, generative or agentic AI in a commercial setting.

Culture & Benefits

Comprehensive benefits package supporting financial, physical, and personal wellbeing.
Flexible working options and professional development support.
Commitment to diversity and creating an inclusive culture.

Hiring process

Initial screening call with Talent Acquisition.
Informal call with the Hiring Manager.
Technical take-home task and interview.