Machine Learning Engineer (Python AWS MLOps) Milan / WFH to €75,000

Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?

You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks.

As a Machine Learning Engineer you'll join a cross functional team, collaborating with Data Scientists and Software Engineers on complex insurance underwriting and pricing systems. They'll be a range of projects including data modelling and implementing Machine Learning algorithms, with Greenfield projects in the pipeline around forecasting and pricing.

There's a collaborative team Agile environment where you'll participate in technical discussions and have your voice heard, there's also opportunities to mentor other more junior team members if desired.

Location / WFH:





The company is a big advocate of flexible working and prides itself on DEI; you can work from home most of the time, joining colleagues in the Milan office 1-2 days a week; you can also work at times that suit you.

About you:
- You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWS
- You have experience of across the full lifecycle of ML model development including into production
- You're collaborative, enjoy problem solving and working with others to overcome technical challenges
- You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns
- Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential

What's in it for you:
- Up to €75,000 salary
- €7 lunch ticketsWelfare credit of €1,500 p/year
- Ability to work 30 days from any EU co

📌 Machine Learning Engineer Python AWS (Milano)
🏢 Client Server
📍 Milano