Machine Learning Engineer - Insurance

hireful; Greater London; Hybrid; GBP 57,000 - 68,000; Full time

Job summary

A leading tech company based in London is seeking a Machine Learning Engineer to design, deploy, and manage scalable ML pipelines. This hybrid role demands strong Python skills and experience with Azure ML. Join a passionate team dedicated to creating impactful solutions in the ML field, with a competitive salary of up to £68k plus bonuses and exceptional benefits.

Benefits

Bonus and awesome benefits

Qualifications

• Strong Python skills are essential.
• Experience with Azure ML is required.
• Knowledge of machine learning frameworks like TensorFlow or PyTorch is beneficial.

Responsibilities

• Design and deploy scalable machine learning pipelines.
• Own and manage the Azure ML platform.
• Collaborate with data scientists to deliver impactful solutions.

Skills

Python

Azure ML

Docker

Git

scikit-learn

TensorFlow

PyTorch

SQL

Job description

Overview

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You ll be at the core of our machine learning operations, designing and deploying scalable pipelines, owning our Azure ML platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You ll own our Azure ML platform. Exciting right?

Role

Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer

Location

Location: Hybrid HQ is Paddington, Central London. We would love to see you a few times a week.

Salary

Salary: up to £68k base + Bonus & awesome benefits!

Requirements

In regard to you it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL.

Call to action

If you're ready to build things that actually get used, apply now, and let s create something amazing together.