MLOps Engineer

📍 Amsterdam, The Netherlands

🏢 Picnic

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About Picnic

Building the supermarket on wheels
Started in 2015 in the Netherlands, Picnic now delivers groceries to millions across three countries, growing fast. The idea? We’re bringing back the milkman. Imagine personal service and fresh products but in a modern, sustainable way. We’re looking for bright minds to shape the future of grocery shopping with us. Ready to join the revolution?

Tech at Picnic
At Picnic we merge advanced technology with a customer-centric approach. We aim to create a simple, affordable, and enjoyable grocery shopping experience. Work on various aspects like our mobile app, store backend, internal development platforms, delivery routing, warehouse logistics, and ML models – all built in-house. We’re looking for problem-solvers who thrive in a collaborative environment. We are open to junior and experienced software, data and ML engineers. Our diverse team welcomes innovative and bold ideas.

Picnic perks
1. With a diverse team of over 80 nationalities, you’re sure to find your people
2. You’ll work in an awesome scaleup environment with the freedom to drive your own projects and create a visible impact
3. We offer a well rounded relocation package to help you make your new step

“At Picnic, we build the technology that powers the transition towards a sustainable food
supply chain where we delight customers with more choice, fresher products, and less
waste. The team behind this innovation loves to crack hard problems, uses data to
explore unbeaten paths, and strives to stay ahead of the curve in this fast-paced
industry.”
– Daniel Gebler, CTO

Want to learn more? Check out our blogs!

Position

At Picnic, we’re revolutionizing the way people buy groceries with our affordable and sustainable app-only service. We do almost everything in-house, developing cutting-edge technologies and processes to ensure we continue to grow rapidly without missing a beat. If you’re a passionate MLOps Engineer, we’re offering you the opportunity to join the diverse team at our Amsterdam HQ and make a real difference in our data-driven, scale-up environment.

In a nutshell

As a MLOps Engineer at Picnic, you’ll work on building the tools and infrastructure to help our Machine Learning Engineers quickly build and productionize robust machine learning models.

Working closely with ML Engineers and analysts, you’ll identify opportunities to improve the machine learning lifecycle at Picnic. From tools that improve model experimentation, to automations that simplify model deployment. You will collaborate with other platform teams at Picnic to make sure our tech stack remains aligned with the rest of the Tech team, while building and integrating the solutions that solve the problems unique to machine learning systems.

Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning

What you’ll do

Various MLOps-oriented projects to:

Automate machine learning model retraining and deployment

Set up infrastructure for model inference, supporting deployment strategies like A/B testing and shadow testing

Improve monitoring in order to exercise operational excellence for our machine learning models

Simplify and standardize usage of tools by developing and inner-sourcing Python packages

Your contributions to the platform will power:

Recommendation systems: generating useful in-app grocery suggestions for our customers

LLMs: automate systems to categorize and resolve Customer Success tickets

Outlier detection: low-latency decision support systems to prevent fraud

Time-series forecasting: improving the operational efficiency throughout our supply chain, from our automated fulfilment center to our last mile delivery

You will definitely:

Work closely with ML engineers to identify opportunities, define use cases, and scope out the requirements

Own your own project from inception to production

Develop tools and enhancements for our ML Platform

Technologies we use

Python (PyTorch, Tensorflow, MLflow, Feast, FastAPI - or we build our own packages)

SQL (Snowflake, Postgres)

AWS, Docker, Kubernetes, Helm

Terraform

Your qualification

Master’s degree or higher in AI, Computer Science, or a related field
At least four years of experience in productionizing machine learning models, preferably using Docker and Kubernetes
Proven track record of scaling development and adoption of machine learning in an organization
Strong Python skills
Comfortable with taking responsibility, showing initiative, and working independently
Ability to think outside the box and an anything-is-possible mindset
Quality control: commitment to excellence, performance, and efficiency
...and for bonus points: you have experience with Terraform

What we offer

Every expert was once a beginner!

You’ll get plenty of opportunities to challenge yourself and grow, including our Lunch & Learn sessions and tailored soft skills training. We also offer free professional weekly language courses.

Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact.

Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place!

Teamwork makes the dream work

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!

You are what you eat

You’ll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don’t worry, our amazing Picnic barista has you covered.

Stay healthy

Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials.

There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing!

Attractive package

We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year so you can recharge your batteries.

Benefits for expats

It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, including:

Relocation package: If you join Picnic from abroad, we’ll cover your trip to Amsterdam, sponsor your Visa, and offer you a month of accommodation while you settle in.

In the Netherlands, we offer support with your first tax report as well as arranging the 30% ruling.

From health insurance to living arrangements to pet passports, there are always colleagues who’ve faced the same challenges and are more than happy to help!

Additional details

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.

Engineer Python Developer Programmer AWS SQL Amazon Docker Git Kubernetes ML Data Scientist Postgres Terraform Machine Learning TensorFlow Data Science Snowflake PyTorch Picnic FastAPI MLOps Helm Amazon Web Services

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🔎 Facts about Amsterdam

Cost of Living Index 85/100

Median for apartment
rent in city centre

(1-3 bedroom) $ 1906 - $ 3213

Safety Index 67/100

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