At a Glance
- Tasks: Develop and implement machine learning models in a collaborative team.
- Company: Join a successful European car insurance tech company with a friendly culture.
- Benefits: Competitive salary, flexible remote work, and a range of wellness perks.
- Other info: Enjoy a supportive Agile environment with excellent career growth opportunities.
- Why this job: Make an impact on innovative insurance solutions while mentoring others.
- Qualifications: Advanced Python skills and experience in machine learning lifecycle.
The predicted salary is between 100000 - 100000 £ per year.
Salary: £100,000 - 100,000 per year
Requirements
- Advanced Python coding skills
- Strong knowledge of AWS
- Experience across the full lifecycle of machine learning model development, including production deployment
- Good knowledge of modern software engineering best practices, microservices, TDD, DDD, and common design patterns
- Collaborative mindset with strong problem-solving skills
- Experience with Databricks, PostgreSQL, Amazon RedShift, or MLflow would be beneficial but is not essential
Responsibilities
- Work as a senior, hands-on Machine Learning Engineer within a cross-functional team
- Collaborate with Data Scientists and Software Engineers on complex insurance underwriting and pricing systems
- Develop data models and implement machine learning algorithms
- Contribute to greenfield projects around forecasting and pricing
- Participate in technical discussions within a collaborative Agile environment
- Mentor more junior team members if desired
Technologies
- AWS
- Redshift
- DDD
- Databricks
- Machine Learning
- PostgreSQL
- Python
- TDD
- microservices
More
We are a growing and hugely successful European car insurance tech company expanding our UK presence. Our platform enables insurance quotes to be made to consumers within 60 seconds using just four clicks. We offer a friendly and supportive international team, a collaborative Agile culture where your voice is heard, and flexible working from anywhere in England, including remote work and optional access to our London office. We also provide a competitive package and a wide range of benefits including a workplace nursery scheme, enhanced maternity package, 25 days holiday with the option to buy or sell five days per year, an extra duvet day, pension, private medical and dental insurance, life assurance, employee assistance programme, weekly yoga, monthly acupuncture sessions, Headspace membership, and other perks such as Perkbox, cycle to work, and season ticket loan.
Senior Machine Learning Engineer Python AWS in Chesterton employer: Sivara GmbH
Join a dynamic and innovative European car insurance tech company that values collaboration and employee well-being. With a flexible working environment, competitive salary, and an extensive benefits package including wellness initiatives and generous holiday options, we empower our team to thrive both personally and professionally. As a Senior Machine Learning Engineer, you'll play a pivotal role in shaping cutting-edge solutions while enjoying the support of a friendly international team.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer Python AWS in Chesterton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sivara GmbH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Engineer Python AWS at Sivara GmbH.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Machine Learning Engineer Python AWS at Sivara GmbH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Machine Learning Engineer Python AWS in Chesterton
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sivara GmbH. 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!
How to prepare for a job interview at Sivara GmbH
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sivara GmbH!
✨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.