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Selected role

Machine Learning Engineer

TomTom Madrid, MD, ES

Senior Full-time

What you'll do:

Contribute to the design, development, and maintenance of end‑to‑end ML pipelines.
Work with image data and computer vision models.
Build, curate, and maintain ground‑truth catalogs and labeling workflows, ensuring high‑quality datasets for training and evaluation.
Implement model monitoring, validation checks, and drift/anomaly detection to ensure reliability and consistency across environments.
Monitor ML systems and pipelines, triaging issues, and collaborating with senior engineers and data scientists to identify and resolve root causes.
Support performance optimization for both training and inference pipelines, including GPU utilization and batch/image processing workloads.
Participate in managing cloud‑based ML environments (Azure ML, Databricks, or similar platforms), ensuring reproducibility and scalability.
Use orchestration tools to schedule and maintain recurring ML workflows, such as model retraining, batch inference, or feature refresh processes.
Assist in building and maintaining metadata tracking, feature stores, and access controls for ML assets.
Contribute to dashboards and internal tools for data quality, model performance monitoring, and system observability.
Collaborate to understand requirements and support ML and CV initiatives within the organization.
Document pipelines, processes, and ML best practices to improve team knowledge sharing and onboarding.
Work in a flexible, mostly remote environment that supports work-life balance.

What you'll need:

2+ years of experience as a ML Engineer or similar role.
Degree in Computer Science, Mathematics, or related field (Bachelor’s/Master’s/PhD).
Proficiency in Python, Spark.
Familiarity with MLOps practices and production-grade ML environments.
Direct experience with model deployment, MLflow, feature stores, or model registries.
Basic knowledge of orchestration and containerization tools (Airflow, databricks, Docker)
Experience working with cloud platforms (Azure, AWS, or GCP).
Understanding of ML workflows, including feature engineering, model training, experiment tracking, and deployment.
Familiarity with Git and CI/CD workflows.
Good communication skills and a proactive, problem-solving mindset.

Nice to have:

Hands-on experience with image datasets and computer vision models (classification, detection, segmentation, embeddings, preprocessing pipelines).
Strong SQL skills and exposure to NoSQL databases.
Familiarity with geospatial libraries and formats (Shapely, GeoPandas, GeoTIFF/COG).
Knowledge of GIS tools for spatial data analysis.
Experience with observability tools (Grafana, Prometheus, etc.)
Understanding of IaC tools such as Terraform.

What we offer

A competitive compensation package, of course.

Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O’Reilly and LinkedIn Learning.

Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.

Work flexibility, where TomTom’ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It’s all about getting the best out of both worlds – we ask TomTom’ers to come to the office two days a week, and the remaining three are free to be worked in either location.

Improve your home office with a setup budget and get extra support with a monthly allowance.

Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we’re mapping.

Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.

Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.

Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!

Find out more about our global benefits and enjoy additional local benefits tailored to your location.

Meet your team

We are the ADAS & ADS Product Unit, leading the production of TomTom’s HD maps and ADAS technology.

In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you’ll collaborate on groundbreaking location-based technologies and applications.

More specifically, you’ll be at the forefront of the creation of advanced HD maps. You’ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.

At TomTom...

You’ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.

Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we’ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.

TomTom is an equal opportunity employer

TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you’ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we’d love to hear from you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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