Software Engineer- Machine Learning - UK

Software Engineer- Machine Learning - UK

Full-Time 28800 - 48000 £ / year (est.) No working from home possible
helloprima

At a Glance

  • Tasks: Leverage machine learning to revolutionise the insurance claims process and deliver impactful solutions.
  • Company: Join Prima, a leading online motor insurance provider with a collaborative culture.
  • Benefits: Enjoy flexible working, private healthcare, gym discounts, and tailored growth plans.
  • Other info: Dynamic environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact in the insurance industry while working with cutting-edge technology.
  • Qualifications: Strong software engineering skills, Python expertise, and analytical prowess required.

The predicted salary is between 28800 - 48000 £ per year.

London - United Kingdom # Software Engineer- Machine Learning - UKPrima 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 **Software Engineer- Machine Learning** 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.The team mission is to exploit the power of machine learning to revolutionize the insurance claims process. To help fuel that growth, we need a Software Engineer to join our Claims Machine Learning team.What you’ll do:- Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform.- Analyze and interpret complex data to support the claims management lifecycle.- Contribute directly to the company’s growth and long-term success through actionable insights.- Collaborate with cross-functional teams to transform data into intelligence and intelligence into actionWhat we’re looking for:- **Software Engineer First:** You’re a strong software engineer at heart: you write clean, maintainable, and production-ready code. While you\'re comfortable handling data, generating insights, and training machine learning models, you approach these tasks with a software engineering mindset, prioritizing scalability, reliability, and performance.- **Analytical Prowess:**Strong quantitative, logical, and analytical skills are essential. At Prima, you\'ll tackle diverse and stimulating challenges that will put your skills to the test- **Strong Python background** with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face.- Proficient with RDBMS ( Postgres )- **Broad ML Knowledge**: You have a solid grasp of various machine learning paradigms: from classical models to cutting-edge approaches like deep learning, computer vision, and generative AI. You know when and how to apply the right technique to solve real-world problems effectively.Nice-to-Have:- Have international experience and are fluency in English- Know how to create, manipulate and analyze large datasets- Background in developing applications using Rust- Experience working in a Cloud-based environment ( AWS preferred ) is a plusWhy you’ll love it hereWe want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks..** 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.**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. #J-18808-Ljbffr

Software Engineer- Machine Learning - UK employer: helloprima

At Prima, we pride ourselves on being an innovative and empowering employer, especially for our Software Engineer- Machine Learning role in London. With a strong focus on flexibility, employee growth, and a supportive work culture, we offer the opportunity to work from anywhere for up to 30 days a year, access to tailored learning resources, and comprehensive wellbeing programs. Join us to be part of a dynamic team that values collaboration and creativity while shaping the future of motor insurance.

helloprima

Contact Details:

helloprima Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer- Machine Learning - UK

Tip Number 1

Network like a pro! Reach out to current employees at Prima or in the machine learning field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.

Tip Number 3

Prepare for the interview by brushing up on common machine learning concepts and coding challenges. Practice makes perfect, so consider mock interviews with friends or online platforms.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Prima team.

We think you need these skills to ace Software Engineer- Machine Learning - UK

Machine Learning
Data Analytics
Python
Pandas
Numpy
PyTorch
TensorFlow

Some tips for your application 🫡

Show Your Software Engineering Skills:Make sure your application highlights your software engineering prowess. We want to see clean, maintainable code examples and any projects that showcase your ability to tackle complex problems with a software engineering mindset.

Demonstrate Your Analytical Skills:We love data, so don’t shy away from showcasing your analytical skills. Include specific examples of how you've used data analytics or machine learning to drive insights or solve real-world problems in your previous roles.

Tailor Your Application:Take the time to tailor your application to our job description. Mention your experience with Python, machine learning frameworks, and any relevant projects that align with what we’re looking for. It shows us you’re genuinely interested!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.

How to prepare for a job interview at helloprima

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and machine learning frameworks like PyTorch or TensorFlow. Brush up on your coding skills and be ready to demonstrate your ability to write clean, maintainable code during the interview.

Showcase Your Analytical Skills

Prepare to discuss specific examples where you've used your analytical prowess to solve complex problems. Think about how you’ve leveraged data analytics in past projects and be ready to explain your thought process clearly. This will show that you can contribute actionable insights to the claims management lifecycle.

Understand the Company’s Mission

Familiarise yourself with Prima’s mission to revolutionise the insurance claims process through machine learning. Be prepared to discuss how your skills and experiences align with this goal, and think of innovative ideas you could bring to the table that would help achieve it.

Prepare for Collaboration Questions

Since the role involves working with cross-functional teams, be ready to share examples of how you’ve successfully collaborated in the past. Highlight your communication skills and your ability to transform data into actionable intelligence, as this is key to thriving in their team environment.