Machine Learning Engineer
Malta
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.
From the employer’s posting
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:
What you’ll bring
All qualificationsCore experience
- 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).
- Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
Preferred experience
- Experience with AWS Sagemaker would be preferred.
Qualification wording
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.
Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
Tools in this posting
- Python
- AWS
- Azure
- Google Cloud (GCP)
- MLflow
- SageMaker
Source — Tool mentions in context
- 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.
- 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.
Job description
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
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
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Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Malta
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 1, 2026
- Recorded sightings
- 283
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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