Senior Machine Learning Engineer (Python AWS MLOps) Remote UK to £105k
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.
Location / WFH:
The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England; 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:
As a Senior Machine Learning Engineer (Python AWS) you will earn a competitive package:
- Up to £105k salary
- Remote working including flexible working hours
- Workplace nursery scheme
- Enhanced maternity package
- 25 days holiday plus ability to buy or sell 5 days p/year + extra 'duvet day'
- Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme
- Weekly Yoga and monthly Acupuncture sessions, Headspace membership
- Diverse, inclusive team environment with a range of support networks
- A range of other perks including Perkbox, cycle to work, season ticket loan
Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity.
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