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- Tasks: Shape the future of motor insurance with innovative machine learning solutions.
- Company: Join Prima, a leading online motor insurance provider trusted by over 4 million drivers.
- Benefits: Enjoy flexible working, tailored growth plans, and wellness support.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: Strong Python skills and experience in ML model development.
- Other info: Diverse and inclusive workplace that values unique perspectives.
The predicted salary is between 36000 - 60000 £ per year.
Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 4 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Machine Learning Engineer to join our Engineering Team. This team is the beating heart of Prima. You’ll be joining over 200 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.
What you will do:
- Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack;
- Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices;
- Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team job;
- Growing, reading, and experimenting to always be up to speed with emerging technology.
What we’re looking for:
- A robust programming background, spotlighting your prowess in Python;
- A familiarity with the lifecycle of ML model development, including past experience in taking them to production;
- Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability;
- A wealth of experience in software architecture, encompassing an understanding of common design patterns. Your focus on Machine Learning, Microservices, and DDD sets you apart;
- Exceptional command of the English language.
Nice-to-Have:
- Experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow);
- Designing and operating cloud-based systems, preferably within AWS or Databricks;
- Familiarity with messaging platforms and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi);
- A grasp of K8s and service mesh concepts;
- Previous exposure to data orchestration tools.
Why you’ll love it here:
- Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
- Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
- Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now. At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives. Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at talent.acquisition@prima.it. Let’s build the future of insurance, together.
Senior Machine Learning Engineer in City of London employer: Prima
Contact Detail:
Prima Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Prima. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any relevant work. This gives us a tangible sense of what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. We love curiosity and experimentation, so be ready to discuss how you approach challenges in ML and software development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Prima.
We think you need these skills to ace Senior Machine Learning Engineer in City of London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and insurance shine through. We want to see how your experiences align with our mission at Prima, so don’t hold back on sharing your journey!
Tailor Your CV: Make sure your CV is tailored to highlight your relevant skills and experiences. Focus on your programming prowess in Python and any past projects that showcase your understanding of ML model development. We love seeing how you’ve made an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Machine Learning Engineer role. Be specific about your experience with microservices and software architecture, and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Prima
✨Know Your Stuff
Make sure you brush up on your Python skills and the entire ML model development lifecycle. Be ready to discuss your past experiences in taking models to production, as this will show your practical knowledge and expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Highlight your experience with software architecture and design patterns, as well as any innovative solutions you've implemented.
✨Familiarise Yourself with Prima's Tech Stack
Research the technologies mentioned in the job description, like AWS, Databricks, and Terraform. Being able to discuss these tools and how they relate to your work will demonstrate your enthusiasm and readiness to contribute.
✨Ask Thoughtful Questions
Prepare some insightful questions about the team dynamics, ongoing projects, or the company's vision for the future of motor insurance. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
