Machine Learning Engineer Jobs

Better Collective

Location:
Denmark, Aarhus

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Machine Learning Engineer at Mindway AI you will play an integral part in our core product development - our Responsible Gambling Risk Profiling. Your work will include improving on our existing models for early detection of problematic gambling behaviour, improving our AML support, optimising our MLOps, and general software development on our product GameScanner.

Job Responsibility:

Running machine learning experiments, building new and improving on existing machine learning models
Packaging machine learning models and writing resilient and scalable software
Ensuring that our models can run at-scale on client side
Working with complex and large time-series data and improving our utilisation of the data
General purpose development on GameScanner - our core product
Participating in and contributing to design ideas, innovation, code reviews and most importantly objective and constructive discussions
Optimising our machine learning workflow, including data processing

Requirements:

Masters or PhD, preferably within the natural sciences (e.g. Mathematics, Physics, Software engineering or Computer Science)
Alternatively 5+ years of professional experience in a relevant position
Experience with the machine learning life cycle - from training and validation to continuously monitoring and optimising
Experience working with data engineering and/or data analytics
Preferably experience working with Python and SQL, but similar languages works as well
Good communication skills and fluency in English
At least a few years of experience working in a machine learning related role
Curious and passionate about the ML space
Ideally, you have previously been writing production-grade machine learning code and run a machine learning based service in production

Nice to have:

Time series data and analysis
Software development
LLMs and Agents running in production
XGBoost or other GBM frameworks
Python
MLFlow
FastAPI
PostgreSQL / SQLAlchemy
Streamlit
Microservices and Docker
Knowledge of math, probability and statistics

What we offer:

Competitive salary packaging based on your experience and qualifications
Lunch and an informal work environment with positive energy
A choice of equipment and a workspace centrally located in Aarhus
Flexible balance between working at the office and from home

Additional Information:

Job Posted:
December 06, 2025

Work Type:

Hybrid work

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Machine Learning Engineer