At a Glance
- Tasks: Shape the future of motor insurance with innovative machine learning solutions.
- Company: Join Prima, the leading online motor insurance provider trusted by over 5 million drivers.
- Benefits: Enjoy flexible working, private healthcare, gym discounts, and tailored growth plans.
- Other info: Collaborative environment with opportunities for mentorship and personal growth.
- Why this job: Make a real impact in a dynamic team while advancing your career in tech.
- Qualifications: Strong Python skills and experience in ML model development are essential.
The predicted salary is between 60000 - 80000 £ per year.
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 5 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 350 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.
Excited to make an impact? Here are the details:
What you will do:- Define model development methodologies and best practices across the entire ML lifecycle
- Play a central role in selecting and evolving the technological stack
- Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behaviour
- Develop tools such as packages, microservices, pipelines
- Continuously grow, read, and experiment to stay current with emerging technologies
- Strong programming background with deep expertise in Python
- Experience across the lifecycle of ML model development, including production deployment
- Proficiency in software development practices such as TDD, BDD
- Commitment to code quality, readability, and maintainability
- Extensive experience in software architecture and common design patterns
- Strong understanding of Machine Learning, Microservices, Domain-Driven Design (DDD)
- Exceptional command of the English language
- We’d also love experience with version control for data and artefacts: DeltaLake, DVC, MLFlow
- Designing and operating cloud-based systems AWS and/or Databricks
- Messaging platforms
- Infrastructure as Code tools such as Terraform, CloudFormation, Pulumi
- Kubernetes and service mesh concepts
- Data orchestration tools
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks. 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.
Machine Learning Engineer employer: Lambda World
At Prima, we pride ourselves on being an innovative and empowering employer, dedicated to reshaping the motor insurance landscape. Our vibrant work culture fosters collaboration and curiosity, allowing you to thrive as a Machine Learning Engineer while enjoying flexible working arrangements and tailored growth opportunities. With access to comprehensive wellbeing programs and a commitment to employee development, joining Prima means becoming part of a forward-thinking team that values your contributions and supports your career journey.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨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 Lambda World!
✨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 Machine Learning Engineer at Lambda World.
✨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 Lambda World.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer at Lambda World, 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 Machine Learning Engineer
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 Lambda World, 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 Lambda World. 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 Lambda World
✨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 Lambda World!
✨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.
