Hybrid Senior Machine Learning Engineer Python AWS Senior Machine Learning Engineer Python AWS
Fab Lab ABQ · nan, · Hybrid
About the job
Senior Machine Learning Engineer (Python AWS MLOps) Remote UK to £90k
Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms?
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 the UK; you can also work at times that suit you.
About You
What's In It For You
As a Senior Machine Learning Engineer (Python AWS) you will earn a competitive package:
Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
