Machine Learning Engineer

Company shown to members 🔒 · Remote · UK, Italy only

UK, Italy onlyExperience not stated€55K–85K/yrPublished 6 May 2026Check carefully

Apply free: 3 jobs are on us✨ Tailor my resume for this job🎤 Practise the interview question, free

✓ Straight from the company's own careers page. No middlemen, no “we'll send you a check for equipment”. How we check jobs

✓ Sent 100 applications and heard nothing? Make this one count: tailor your resume to this ad in one tap, free.

✨ Not sure this is the one? Get your remote job matches in 30 seconds →

First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

Free interview practice

Practise the first interview question for this job

If the company replies, the first call usually starts with a question like this. Vague answers are the easiest to reject. Write yours and get an AI score in under a minute.

The 20-second read

Experience
Experience not stated
Where you can live
UK, Italy only
Languages
English
Skills and tools
python, aws, terraform, machine learning
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United Kingdom, Italy
Employment type
Full-time
Advertised pay
€55K–85K/yr
Experience
Experience not stated
Employer publication date
6 May 2026
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

Are you looking for a new challenge?

Fancy helping us shape the future of motor insurance?

The company 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 Machine Learning Engineering to join our Engineering Team.

This team is the beating heart of the company.

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

  • 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 the company'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

  • Alongside the essential prerequisites, we're excited to find 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, and previous exposure to data orchestration tools.

Why you’ll love it here

We want to make the company 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 the company, 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 the company, 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.

The company is proud to be an equal opportunity employer. Need accommodations during the process? Email us at [link for members] Let’s build the future of insurance, together.

Apply free: 3 jobs are on us✨ Tailor my resume for this jobPrepare with the Apply kitMore remote machine learning and AI engineer jobs →

Find my remote job matches →
Ghost Job Detector: Check carefully
  • Open 6 months
Signals, not proof. Check the company's page before you spend time on it.
Free to build · no sign-up

A resume that gets past the first 6 seconds

Recruiters skim. The Psst resume coach fixes what makes them skip you, line by line, and one tap tailors it to the exact job you're applying to.

  • 1Every line checkedWeak starts, clichés and AI-sounding phrases flagged, with a 3-question fix.
  • 2Tailored to the jobSee which skills and tools from the ad your resume is missing. Try it free on one of your matches.
  • 3Ready for remoteTime zone, tools and proof you work on your own, the things remote teams look for.
  • 4Looks the partOne page, 6 designs, 8 colours and a matching cover letter, free to build. Premium downloads the PDF and Word files.
Try the resume coach →Compare Premium

Set up your job alert