Signicat is a pioneering Pan-European Digital Identity Service Provider, supporting over 170 data sources for seamless identity verification. Trusted by governments, financial institutions, and businesses worldwide. Such as General Financing, Compensa Life, Telia, Rimi, Volvo, and many more.

Signicats are present all over Europe, with 16 offices in major cities across the continent. Our team of 520+ professionals are driven by an impactful mission - to build technology for people to trust each other in a digital world.

Technology at Signicat:

At Signicat, our platform engineering approach fosters a culture where each product team operates as a mini-company, empowering individuals with the freedom of a startup while enjoying the support of an entire organisation.

• We encourage our engineers to explore tech innovations, experiment freely, and share their expertise with each other. The digital space is our playground, and we are making it safer together, one day at a time.

About the Role:

As an ML Engineer you will join our multinational team of experienced developers who work across a wide range of technologies and disciplines. You will contribute to building and improving our VIZ Extraction and Recognition (Vizer) service. It is a server-side solution for data extraction from the visual inspection zone of identity documents. Collaboration and teamwork are at the heart of what we do, and you will play a key part in shaping a reliable and innovative product used by customers worldwide.

Your job:

• Ensure that machine learning models are scalable and integrated seamlessly with existing company products and platforms.

• Deploy machine learning models into production and monitor their performance. Continuously improving performance of inferencing models.

• Develop and maintain automated pipelines for data preprocessing, model training, and deployment.

• Implement and maintain CI/CD pipelines for machine learning applications.

• Develop and maintain APIs exposing ML models with FastAPI.

• Stay updated with the latest developments in machine learning. Apply cutting-edge research to practical business problems.

• Work in our growing Machine Learning & Data Science team, with a.o. ML & Data Science engineers and backend developers, all with MSc, BSc or PhD degree.

• Work closely with other teams in the company such as the cloud team (AWS/GCP, Kubernetes) and server team (Java Enterprise) to integrate services.

• You work at least 2-3 days from our office in Enschede (Netherlands) or Valencia (Spain).

Who are you ?

• You have a university (MSc) or applied university/college (HBO/BSc) degree in Computer Science, Software Engineering, Data Sciences, Machine Learning or similar.

• Minimum of 3 years of experience, with a proven track record of deploying scalable machine learning solutions in a production environment.

• Strong programming skills in Python and experience with containerisation (e.g., Docker).

• Experience with ML frameworks and libraries such as TensorFlow, ONNX or PyTorch.

• Experience with MLOps stack (e.g. MLFlow, Prefect, Evidently).

• Experience with CI/CD tools, code collaboration tools (like Gitlab) and best practices (like merge requests and code reviews).

• Familiar with cloud platforms like AWS/GCP and cloud agnostic principles.

• Experience designing, building, and maintaining ML systems.

• Strong analytical skills and experience in data manipulation, analysis and preprocessing.

• Knowledge on computer vision technology is not a prerequisite but is appreciated.

• You can speak and write English fluently.

• You are security minded.

What we offer:

• Tailored benefits package by location - we aim to empower our employees by offering customised benefits suited to each market

• Hybrid work style - collaborate with the team in-office several days a week and embrace the flexible work model

• Work-life balance - enjoy extra paid days off during the summer and Christmas season annually. Also, we will celebrate your work anniversaries with additional days off to recognise and reward your milestones

• Health & Wellness - we prioritise your physical and mental well-being by providing designated packs and access to the Headspace app

• Continuous growth - quarterly development talks, a dedicated time during working hours each week for training and development, unlimited access to Udemy courses, defined career paths and internal mentorship opportunities

• Customised onboarding - we will prepare an Onboarding Plan to ensure an easy and smooth beginning

• Give back to the community - option to use 16 hours of paid volunteer time each year to support a charity or cause you are passionate about

• Be part of an international team - the opportunity to work from any other Signicat office for 2 months per year and 3 weeks per year from any European country

• Empowering feedback culture - by using employee engagement tools, we ensure that every voice is heard, empowering us to grow together

• Meet-ups - frequent office gatherings and biennial Kick-off event to bring every Signicat under one roof that you don’t want to miss

We build technology for people to trust each other in the digital world. Signicat is the leading provider of trusted digital identity across Europe. We are growing fast, so joining us means you will too. We connect businesses with their customers and users with digital services. But the greatest connections are the human ones that we have within Signicat, working with the brightest minds in our industry. 

We value the well-being of each employee and all work together to create a supportive and inspiring work environment. Signicat has several offices around Europe. We encourage creativity, initiative and independence to get things done. The digital space is our playground, and we are making it safer together, one day at a time.  For further information about Signicat, please visit www.signicat.com