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# Senior Machine Learning Engineer Python AWS

- **Company:** Client Server
- **Location:** Cambridge, UK (Remote available)
- **Experience:** Expert
- **Salary:** £90,000.0 - £105,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Software Design Patterns, Python (Programming Language), PostgreSQL, Machine Learning, Software Construction, Test-Driven Development (TDD), Machine Learning Operations, Software Coding, Amazon Redshift, Databricks, Microservices
- **Published:** September 9, 2026
- **Apply:** https://www.collegerecruiter.com/job/2850543976-senior-machine-learning-engineer-python-aws

## About the Role

* 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

## Description

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 Senior 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.


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