At a Glance
- Tasks: Join a dynamic team to implement ML algorithms and tackle exciting projects.
- Company: A leading European car insurance tech company with a supportive culture.
- Benefits: Earn up to £105k, enjoy remote work, flexible hours, and wellness perks.
- Other info: Collaborative Agile environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in a fast-paced environment while advancing your career.
- Qualifications: Advanced Python skills, AWS knowledge, and experience in ML model development.
The predicted salary is between 60000 - 80000 £ per year.
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. There'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 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 opportunity.
Senior Machine Learning Engineer Python AWS in London employer: Client Server
Join a dynamic and innovative European car insurance tech company that champions flexible working and a diverse, inclusive culture. As a Senior Machine Learning Engineer, you'll thrive in a collaborative Agile environment, with opportunities for mentorship and professional growth while enjoying a competitive salary and an array of benefits including remote work options, enhanced maternity packages, and wellness initiatives. This is a fantastic opportunity to make a meaningful impact in a rapidly expanding organisation that values your contributions and supports your career development.
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We think you need these skills to ace Senior Machine Learning Engineer Python AWS in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Client Server. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
