Machine Learning Engineer, Montash

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Solliciteren

Plaats

Brussels
België
be

Contract

Vooltijds, Onbepaalde duur

Datum gepubliceerd

2026-03-05

Online to:

2026-05-04
EUR 20.00 HOUR

Machine Learning Engineer

Montash
België
11 uren geleden

ppBrussels, Belgium (Hybrid or Onsite depending on project requirements) /ph3Sector /h3pInsurance / Financial Services /ph3Overview /h3pWe are supporting an established organisation within the insurance sector that is expanding its data and machine learning capability. They are seeking a Machine Learning Engineer to design, build, and deploy production-grade ML solutions that support core business functions such as risk modelling, pricing, fraud detection, and customer analytics. /ppYou will work closely with data scientists, data engineers, and business stakeholders to translate analytical models into scalable, maintainable machine learning services. /ph3Key Responsibilities /h3ulliDesign, develop, and deploy machine learning models into production environments /liliCollaborate with data scientists to operationalise models and improve model performance /liliBuild and maintain end-to-end ML pipelines, including data ingestion, training, validation, and deployment /liliWork with structured and unstructured data from internal and external sources /liliEnsure models meet requirements around performance, scalability, explainability, and robustness /liliMonitor deployed models, manage retraining strategies, and address model drift /liliCollaborate with engineering and architecture teams to align with platform and security standards /liliProduce clear technical documentation and contribute to best practices around MLOps /li /ulh3Qualifications /h3ulliProven experience as a Machine Learning Engineer or similar role /liliStrong programming skills in Python /liliSolid understanding of machine learning algorithms and statistical modelling techniques /liliHands-on experience with ML libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar /liliExperience building and deploying ML models in production environments /liliFamiliarity with MLOps practices, CI/CD, and model lifecycle management /liliExperience working with cloud platforms (AWS, Azure, or GCP) /liliStrong SQL skills and experience working with large datasets /liliAbility to work in a regulated or data-sensitive environment (financial services or insurance experience is a strong plus) /li /ulh3Nice to Have /h3ulliExperience with insurance use cases such as pricing, underwriting, claims, fraud detection, or risk modelling /liliExposure to model governance, explainability, or regulatory requirements /liliExperience with containerisation and orchestration tools (Docker, Kubernetes) /liliKnowledge of data engineering concepts and pipelines /li /ulh3Language /h3ulliWorking proficiency in English /liliFrench or Dutch is advantageous but not mandatory /li /ul /p #J-18808-Ljbffr

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Machine Learning Engineer

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