Machine Learning Engineer

Machine Learning Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deploy intelligent systems to tackle real-world challenges using high-quality data.
  • Company: Join Picnic, a fast-growing tech company revolutionising grocery delivery across Europe.
  • Benefits: Enjoy competitive perks like fresh lunches, language courses, and a supportive work environment.
  • Other info: Opportunities for growth, teamwork events, and relocation support for international applicants.
  • Why this job: Make a real impact with cutting-edge machine learning projects in a diverse team.
  • Qualifications: Master's degree in AI or related field and 3 years of experience in data science.

The predicted salary is between 36000 - 60000 £ per year.

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact, all using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.

Tricks of the trade

  • Identify and execute improvement possibilities together with other ML Engineers and (product) analysts
  • Collaborate on your project from inception to production, to continuous improvement
  • Develop tools and enhancements for our cloud-based Machine Learning platform

You could work on various projects and fields, such as:

  • Demand forecasting: delivery, article, trip volumes, used Picnic-wide
  • Fraud detection: helping us keep troublemakers out of our store
  • Recommendation systems: generating useful in-app grocery suggestions
  • Search and ranking: helping our customers find exactly what they need
  • Predicting delivery drop-off times: making sure we’re on-time at every customer’s door
  • Vision: ensuring quality control and smooth operations within our warehouses

Requirements:

  • Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
  • At least 3 years of experience in data science or applied machine learning
  • Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
  • Some experience with maintaining production-level ML solutions and eager to learn about solid software engineering principles and ML principles
  • Strong Python and SQL skills
  • Experience with Docker, Kubernetes, and CI is a plus

Picnic Perks

  • Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training.
  • We also offer free professional weekly language courses.
  • With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
  • Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.
  • We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%.
  • Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate.
  • If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application.

All the rest

  • At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan.
  • Your phone and laptop are on us, as well.

A bit about us

When you join Picnic, you’re joining the shopping revolution, delivering groceries to millions of people across Europe, and we’re growing fast. Think super fresh products and personal service, but in a modern, sustainable way. The tech team at Picnic is at the core of Picnic. From deep learning models to forecast orders to delivery algorithms to warehouse logistics: we’ve built it all from the ground up. You’ll thrive here if you’re a problem solver with a pro‑active mindset who’s not afraid to be challenged daily.

Recruitment Process

  • CV screening
  • Phone screening
  • Online test
  • Interviews
  • Assessment day
  • Offer

Commitment to equal opportunities

Picnic is an equal opportunity employer—this means that all decisions regarding applications will be based on qualifications and merit. Applicants will be regarded independently of age, gender identity or expression, sexual orientation, ethnicity, skin color, civil status, religious beliefs, physical or mental disability, or any other factors protected by law. At Picnic, we celebrate and value our differences and are committed to building a safe and inclusive working environment where everyone can be themselves.

Machine Learning Engineer employer: Picnic Technologies

At Picnic, we pride ourselves on being an exceptional employer, offering a vibrant work culture that celebrates diversity with over 80 nationalities represented. Our commitment to employee growth is evident through initiatives like the Picnic Tech Academy and tailored training sessions, ensuring you have ample opportunities to develop your skills. With perks such as fresh lunches, health insurance discounts, and support for international relocations, joining our team means being part of a forward-thinking company that values innovation and collaboration.
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Contact Detail:

Picnic Technologies Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Picnic on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss how you've tackled real-world problems. Use examples from your past work to show off your skills and experience.

✨Tip Number 3

Show your passion for the role! When you get the chance to speak with interviewers, express your excitement about working on projects like demand forecasting or fraud detection. Let them know you’re eager to contribute to their mission.

✨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 the Picnic team.

We think you need these skills to ace Machine Learning Engineer

Machine Learning
Data Science
Python
SQL
Docker
Kubernetes
Continuous Integration (CI)
Model Productionisation
Data Analysis
Communication Skills
Collaboration
Problem-Solving
Cloud-Based Machine Learning Platforms
Statistical Modelling
Software Engineering Principles

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with data science, Python, and any relevant projects that showcase your skills in building and deploying models.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with Picnic's mission. Don’t forget to mention your collaborative spirit and problem-solving mindset!

Showcase Your Projects: If you've worked on any interesting ML projects, make sure to include them in your application. Whether it's demand forecasting or fraud detection, real-world examples can really set you apart from other candidates.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the recruitment process smoothly. Plus, it shows you're keen on joining the Picnic team!

How to prepare for a job interview at Picnic Technologies

✨Know Your Models Inside Out

As a Machine Learning Engineer, you’ll need to be ready to discuss your past projects in detail. Be prepared to explain the models you've built, the challenges you faced, and how you overcame them. This shows your depth of knowledge and problem-solving skills.

✨Brush Up on Communication Skills

Since you'll be collaborating with stakeholders, practice explaining complex technical concepts in simple terms. Use examples from your experience to illustrate how your work has had a real-world impact, making it relatable to non-technical audiences.

✨Familiarise Yourself with Their Tech Stack

Research Picnic’s tech stack, especially around Python, SQL, Docker, and Kubernetes. If you have experience with these tools, be ready to discuss how you’ve used them in previous roles. If not, show your eagerness to learn and adapt.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Think about scenarios where you had to identify improvement opportunities or collaborate on projects from inception to production. Prepare specific examples that highlight your analytical and teamwork skills.

Machine Learning Engineer
Picnic Technologies
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