Machine Learning Engineer
- LocationBudapest
- Work typeHybrid
- Posted22 October 2026
- SourceBetsson Group's careers page (Greenhouse)
Live checkFirst seen 3 h ago; still listed on Betsson Group's careers page 3 h ago.
Moves fastWhen Betsson Group takes a role down early, it is usually about 6 days after posting. Apply soon.
At a glance
- Experience3 to 5 years
- EducationBachelor's degree
- Skills and toolsMachine learning, Python, Spark, AWS, Google Cloud, Azure
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
The Wow
As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.
A taster of what you will be involved with:
- Design, implement, and optimize machine learning models to solve complex business problems.
- Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
- Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
- Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
- Write and maintain high-quality, production-ready code for machine learning models and services.
- Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
What we are looking for:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
- Proficiency in Python, MLFlow and Spark would be considered an asset.
- Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
- Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
- Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
What we offer
- Fitness-wellness allowance 🧗♂️
- Company mobile phone for private use with 100 GB 📱
- Annual HUF devaluation compensation 💡
- Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
- Private Health Insurance 🩺
- Career development 📈
- Technical and soft-skill training opportunities 🎓
- Breakfast, fruits & lunch 🍎
- Team building events 🥳
Challenge accepted?
If you are interested to learn more, please apply with your CV in English.
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