Senior Machine Learning Engineer Python AWS

Client Server; Cambridge; Remote; GBP 90,000 - 105,000; Full time

Benefits offered by this job

Pension

Private Medical

Dental Insurance

Life Assurance

Employee Assistance

Yoga

Acupuncture

Headspace

Perkbox

Cycle to Work

Season Ticket Loan

Job summary

Client Server is seeking a Senior Machine Learning Engineer (Python AWS MLOps) for a flexible, remote role in the UK. You will join an international team delivering ML solutions for insurance pricing and underwriting, with projects spanning data modelling and production ML deployment.

You will collaborate with Data Scientists and Software Engineers in an Agile environment, mentoring others and helping to shape greenfield forecasting and pricing initiatives.

Qualifications

• Experience across the full lifecycle of ML models from development to production.
• Strong collaboration and problem-solving skills within cross-functional teams.
• Knowledge of modern software engineering practices, microservices, TDD/DDD, and common design patterns.
• Experience with Databricks, PostgreSQL, Amazon Redshift or MLflow would be great but not essential.

Responsibilities

• Work with Data Scientists and Software Engineers on ML model development and deployment.
• Contribute to data modelling and pricing/underwriting ML projects.
• Mentor junior team members and participate in Agile discussions.
• Lead Greenfield ML forecasting and pricing initiatives when applicable.

Skills

Python

AWS

ML lifecycle

Databricks

PostgreSQL

MLflow

DDD

Tools

RedShift

Job description

Salary: GBP90000 - GBP105000 per annum + benefits

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
• 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