Machine Learning Engineer / Data Scientist

Machine Learning Engineer / Data Scientist, Gothenburg

We are seeking an experienced Machine Learning Engineer or Data Scientist with expertise in building and deploying machine learning models and implementing ML Ops processes for scalable and reliable production systems. The ideal candidate will have a strong background in machine learning and data science, and is comfortable working across the full lifecycle from data exploration to production.

Qualifications:

• Master’s degree in Software Engineering, Computer Science, Data Science, Statistics, or a related field.
• Experience in machine learning and data science, such as predictive modeling, recommendation systems, natural language processing, or computer vision.
• Strong foundation in statistics, data structures, algorithms, and software engineering best practices.
• Proficiency in Python and common data science/ML tooling (e.g. pandas, scikit-learn, and a deep learning framework such as PyTorch or TensorFlow).
• Experience with data analysis, feature engineering, and model evaluation.
• Familiarity with Generative AI and large language models is a plus, but not a requirement.
• Commitment to ethical AI practices and ensuring data security and user privacy.
• Experience with Git and other version control systems.
• Proven ability to collaborate in agile teams, handling multiple projects and deliverables efficiently.
• Strong troubleshooting skills, with the ability to adapt solutions to different project environments and challenges.

Intro

The consulting market is broken. More often than not, manpower and clocked hours are favoured over results and lasting value. At Devies Digital Core (DDC) and as part of the Devies group, we are redefining what it means to be a consultant; one action at a time. DDC excels at project and team deliveries, and emphasises ownership, value creation and domain expertise to drive end-to-end software deliveries and advisory services focusing on Artificial Intelligence (AI), Machine Learning (ML) and data. We work closely with our clients on strategic and operative levels, ensuring that our deliverables translate into business value.

Our main office is located in central Gothenburg, close to Domkyrkan. We have recently expanded our presence to the Öresund area.

Our teams are small (1–4 members), and experienced colleagues frequently contribute to multiple projects in parallel. Every employee has their own desk and equipment tailored to their needs. While the office is our common base, we offer a hybrid working model to ensure you get the flexibility you need to deliver the highest value, consistently.

We foster a supportive and inclusive culture where everyone is encouraged to actively contribute — both to our technical excellence and to our work environment. Growth is a cornerstone for us, supported by a company-wide coaching program, certifications and lightning talks.

Come as you are! We welcome diversity and value the unique backgrounds and experiences each person brings.