Machine Learning Scientist

We are looking for a Machine Learning Scientist with expertise in Python-based data science, and a solid understanding of ML development best practices, including experimental design and deployment of models in real-world applications.

Why should you join FOSS?

You’ll join a team of experienced ML scientists and contribute to the development of robust, scalable solutions that enhance our instruments and services.

You will be responsible for developing and evaluating machine learning and optimization algorithms, with a focus on:

Finalization and deployment of deep learning models for spectroscopic analysis project with support from other machine learning scientists by

Assisting in customer field tests and model tuning
Collecting and curate internal data for model validation and performance testing.

Assisting in defining and prototyping analytical layers that enhance FOSS digital offerings. That could be

Optimizing model selection and update strategies.
Develop analytical models and decision-support systems for predictive analytics to optimize maintenance strategies and reduce downtime.

Support in developing ways of working with Python-based applications through

Streamlining workflows for reproducibility and scalability
Contributing to the evolution of team-wide ways of working through improved collaboration, tooling, and documentation standards.

Who are we?

You will work in cross functional project teams alongside software developers, fellow ML scientists, and stakeholders from marketing and service. Your role will include:

Structure complex problems and translate them into analytical models across the data chain for FOSS instruments.
Define data requirements and algorithmic strategies to meet performance targets, supported by rigorous experimental design and validation.
Collaborate with domain experts and customers to understand operational workflows, identify analytical opportunities, and ensure solutions align with real-world needs.
Contribute to scalable, data-driven solutions and develop testing protocols to support model validation, deployment, and continuous improvement.

About you

You hold an MSc or Ph.D. in Computer Science, Mathematical Engineering, or a related field, and bring:

Strong programming skills in Python.
Experience in best practices of machine learning model development.
Knowledge of data science methodologies: experimental design, statistical analysis, hypothesis testing.
Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) or willingness to learn.
Interest in working with the full data chain of analytical instruments.

It is a bonus if you have experience with Machine Learning Operations (MLOps), including deploying Python-based ML pipelines to cloud environments. Familiarity with scalable infrastructure, CI/CD for ML workflows is a plus.

As a person you are structured and collaborative when part of a cross-disciplinary team. You’re curious about new problems and thrive on understanding and solving tasks. Your record of accomplishments shows an ability to understand complex systems and to work systematically with troubleshooting, incl. designing and performing experiments. Further, you are open-minded and want to succeed as a team and help your colleagues. If you recognize yourself in the above description, we look forward to hearing from you.

We offer

We offer a motivating job in an international, dynamic, and innovative organization. We are market leaders within our field and very proud of the results we deliver. Innovation is the foundation for FOSS´ success and we therefore have a strong focus on R&. Foss is small enough for you to get high influence in the job, and big enough for complex development and career development.

The daily work takes place in an innovative and cross-disciplinary environment offering exciting tasks and the possibility to learn new things every day. You will be part of the Machine Learning team in R&D, which is responsible for algorithmic innovation and development of FOSS’ solutions. As a team, we hold a high level of experience within data analysis and machine learning and strive at delivering cutting-edge creative algorithmic solutions that challenge the way of thinking. We are open-minded to new ideas and have an informal and humorous tone.

Application

Send us your application via the link below. We screen applications as they come in, so apply now - better today than tomorrow! Any questions can be directed to Head of Machine Learning & Data Science, Lars Nørgaard (+45 2761 6958 or lno@foss.dk)

Ready to shape the future of analytical solutions with us?

We look forward to hearing from you. FOSS is committed to maintaining an inclusive culture and a diverse workforce. You can help us sustain an unbiased recruitment process by not including photo or age in your application.

Ansættelsestype: Permanent

Hjemmearbejde: Not disclosed

Ugentlig arbejdstid: Full-time

Working at FOSS

We work on a global scale to develop the people working at FOSS. We strive to enhance job satisfaction and motivation by constantly improving the competencies of our managers as well as following up on employee satisfaction.

We know our employees are our strongest asset.

Therefore, we emphasise, invest in and appraise our employees’ knowledge, skills and attitudes, and take pride in creating an environment with trust, confidence and development. We also believe that clearly defined objectives enable people to achieve their performance potential and that the support from the immediate superior is essential. Most important of all; trained, well-motivated and competent employees are a perquisite for success in the future. We manage by values, but also clear objectives, and follow up through regular meetings between the employee and the manager. In these meetings, there is also room to discuss career aspirations and other development opportunities including internal career moves.

You will have the opportunity for internal career development.

As a company, we are small enough for you to get high influence in the job, but we are also big enough for complex development and global careers. If you want to move in a new direction and continue to develop along with your professional capable colleagues, we offer the opportunity for internal career moves inside FOSS. As we are a knowledge-heavy company, this is a win-win scenario for both FOSS and our employees.

Work with creative and professionally strong colleagues.

Teamwork is essential to FOSS. By developing solutions in cross-functional teams, we integrate knowledge, experience and competences from many perspectives to achieve great results. We communicate in a straight-forward manner and solve challenges together. In FOSS, we truly value that you voice your opinion, take responsibility and ownership. Our company size in turn allows for independent, dynamic and fast decisions.

If you join FOSS, we promise you that you will enter an environment with new learnings through projects, new technologies and market opportunities. We love to be entrepreneurial and open-minded to new ideas, and if you get a good idea – you can bring it forward.

Join a company with a clear business idea and purpose, but also strong values.

In a global world with a growing population, there is an ever-increasing demand for safer food, production that is more efficient and less food waste. Globally, we need to produce as much food the next 40 years as the last 8,000 years to meet the needs of a growing population and declining natural resources. A huge challenge, which requires that we become better at utilizing the resources available.

The business vision of FOSS to contribute to a more sustainable use of increasingly valuable agricultural resources, and to the nutrition and health of the people of the world. We provide the industry’s best analytics, which add value to our customers by improving quality and optimising food and agricultural production.

Join FOSS, and you will be part of this mission, more relevant today than ever.

About FOSS

FOSS creates end-to-end solutions that secure and improve food quality. From raw material to finished product. Our analysis instruments refine measurements into information management that enables businesses to run intelligent data-driven productions with less waste and bigger yields. Controlling cost and quality across all sectors and value chains, we help food and agricultural producers limit the number of human errors, scale their business faster and reduce manual labour as well as labour costs. We call it analytics beyond measure.

Over the last 60 years, we have made it our business to define the standard of analytical solutions for the food and agricultural industry. We pioneered advanced analysis for the challenging production environments in the 1960’s, and we were the first to integrate chemical composition analysis in process lines. Now our resolve and ambition have also made us the international benchmark in the field of chemometrics and real time analytics.

FOSS is a 100% family-owned company and the leading supplier of innovative analytical solutions; 98 percent of FOSS’ business is generated outside Denmark. FOSS has more than 100 patents and more than 20 world-first product introductions. FOSS employs more than 1700 dedicated people worldwide and has manufacturing, research and development facilities in Denmark and China. Solutions are sold and supported through FOSS sales and service companies in 28 countries and by more than 75 distributors. Many employees have a top-level scientific or technical background, including more than 130 Master of Science and more than 20 PhDs in areas such as photonics, chemometrics, physical chemistry, analytical chemistry, fermentation and bio-engineering, astrophysics, optical communication, physics, quality, nanotechnology, food science and adaptive radiotherapy. We also employ many factory-trained and certified support engineers stationed close to our customers.