Machine Learning Engineer (MLOps)

Brussels - Belgium

Monthly Salary: Not Disclosed

Posted on: 10-10-2025

Vacancies: 1 Vacancy

Job Summary

Description

We currently have a vacancy for a Machine Learning Engineer (MLOps) fluent in English to offer his/her services as an expert who will be based in Brussels Belgium. The work will be carried out either in the companys premises or on site at customer the context of the first assignment the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major clients IT team on site.

Your tasks:

Design implement and maintain a scalable reliable and secure hybrid cloud ML Ops infrastructure to deploy test manage and monitor ML models in different environments;
Development and maintenance of software applications in the field of Natural Language Processing (NLP) Machine Learning (ML) Deep Learning (DL) and/or Artificial Intelligence (AI);
Design CI/CD pipelines use orchestration solutions and data versioning tools;
Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability efficiency and cost-effectiveness;
Design the IT architecture for solutions in the NLP / ML / AI fields and coordinate its implementation considering master- and meta-data management concepts;
Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields and coordinate its implementation considering master- and meta-data management concepts;
Provision of security studies security assessments or other security matters associated with information system projects.

Requirements

Masters degree in IT or relevant discipline combined with minimum 15 years of relevant working experience in IT;
Excellent knowledge of managing an on-prem and/or cloud MLOps infrastructure;
Excellent knowledge of containerization and orchestration platforms (e.g. Kubernetes Docker Podman EKS PKS) Good knowledge of MLflow TensorFlow (TFX) or equivalents;
Good knowledge of Airflow Python Unix and Bash;
Good knowledge of AWS and/or Azure;
Good knowledge of IaC (Terraform CloudFormation);
Good knowledge of messaging services and platforms (e.g. Kafka Redis RabbitMQ);
Knowledge of data security measures (knowledge of encryption mechanisms and ML security is considered a plus);
Knowledge of NoSQL databases such as Elasticsearch MongoDB Cassandra HBase;
Knowledge of query languages such as SQL Hive Pig etc. and with information extraction;
Experience with data analytics over big datasets non-structured databases as well as data lakes;
Experience with monitoring and logging tools (e.g. ELK stack Prometheus Grafana OpenTelemetry CloudWatch);
Optional Certifications: 1) AWS Certified Machine Learning 2) Microsoft Azure AI Engineer Associate;
Excellent command of the English language French would be an advantage.

Benefits

If you are seeking a career in an exciting dynamic and multicultural international environment with exciting opportunities that will boost your career please send us your detailed CV in English quoting reference (19145/10/2025).

We offer a competitive remuneration (either on contract basis or remuneration with full benefits package) based on qualifications and experience. All applications will be treated as confidential.

You may also consider all our other open vacancies by visiting the career section of our web site () and follow us on Twitter (@EURODYNCareers) and LinkedIn.

EUROPEAN DYNAMICS () is a leading European Software Information and Communication Technologies company operating internationally (Athens Brussels Luxembourg Copenhagen Berlin Stockholm London Nicosia Valetta Vienna Den Haag Hong Kong etc.) The company employs over 1000 engineers IT experts and consultants (around 3% PhD 36% MSc and 53% BSc). We design and develop software applications using integrated state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions international organizations European Agencies and national government Administrations in 40 countries and 4 continents.

As part of our dedication to the diversity of our workforce we are committed to Equal Employment Opportunity without regard for race color age national origin ethnicity gender disability sexual orientation gender identity or religion.

EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in By submitting an application to this position and by sharing your personal data with ED you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the companys recruitment opportunities in line to the Policy.

DescriptionWe currently have a vacancy for a Machine Learning Engineer (MLOps) fluent in English to offer his/her services as an expert who will be based in Brussels Belgium. The work will be carried out either in the companys premises or on site at customer the context of the first assignment the ...

Description

Your tasks:

Design implement and maintain a scalable reliable and secure hybrid cloud ML Ops infrastructure to deploy test manage and monitor ML models in different environments;
Development and maintenance of software applications in the field of Natural Language Processing (NLP) Machine Learning (ML) Deep Learning (DL) and/or Artificial Intelligence (AI);
Design CI/CD pipelines use orchestration solutions and data versioning tools;
Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability efficiency and cost-effectiveness;
Design the IT architecture for solutions in the NLP / ML / AI fields and coordinate its implementation considering master- and meta-data management concepts;
Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields and coordinate its implementation considering master- and meta-data management concepts;
Provision of security studies security assessments or other security matters associated with information system projects.

Requirements

Masters degree in IT or relevant discipline combined with minimum 15 years of relevant working experience in IT;
Excellent knowledge of managing an on-prem and/or cloud MLOps infrastructure;
Excellent knowledge of containerization and orchestration platforms (e.g. Kubernetes Docker Podman EKS PKS) Good knowledge of MLflow TensorFlow (TFX) or equivalents;
Good knowledge of Airflow Python Unix and Bash;
Good knowledge of AWS and/or Azure;
Good knowledge of IaC (Terraform CloudFormation);
Good knowledge of messaging services and platforms (e.g. Kafka Redis RabbitMQ);
Knowledge of data security measures (knowledge of encryption mechanisms and ML security is considered a plus);
Knowledge of NoSQL databases such as Elasticsearch MongoDB Cassandra HBase;
Knowledge of query languages such as SQL Hive Pig etc. and with information extraction;
Experience with data analytics over big datasets non-structured databases as well as data lakes;
Experience with monitoring and logging tools (e.g. ELK stack Prometheus Grafana OpenTelemetry CloudWatch);
Optional Certifications: 1) AWS Certified Machine Learning 2) Microsoft Azure AI Engineer Associate;
Excellent command of the English language French would be an advantage.

Benefits

We offer a competitive remuneration (either on contract basis or remuneration with full benefits package) based on qualifications and experience. All applications will be treated as confidential.

You may also consider all our other open vacancies by visiting the career section of our web site () and follow us on Twitter (@EURODYNCareers) and LinkedIn.

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

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About Company

EUROPEAN DYNAMICS

EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Rome, Stockholm, London, Nicosia, Helsinki, Valetta, Vienna, etc.) The company employs ... View more

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