JOB DESCRIPTION

Function title: Machine Learning Engineer

Reference: NOC-AT-2025-FGIV/1067

Location: Brétigny-sur-Orge

The selected candidate must reside either at this location or within a reasonable proximity that allows for the satisfactory execution of their duties. The Innovation Hub is expected to relocate to the Innovation Cluster Paris-Saclay around 2028.

Information about living in Brétigny-sur-Orge

Nature of the competition: Internal and external competition

Applicable regulations: Conditions of Employment of Contract Staff at EUROCONTROL

Function group: Function group IV

Job level: 13-15 – Check salary simulations for the basic grade

Generic post: Junior Specialist

Number of posts: 1

Duration of engagement: 3 Year(s) – renewal or conversion of the contract is possible under certain conditions – see “Useful information” section

Security clearance: Security vetting may be required in accordance with the relevant EUROCONTROL security policies

Directorate/Service: ATD/ASU – The Aviation Sustainabillity Unit

Working arrangement: EUROCONTROL operates a hybrid working model that combines onsite presence with remote work opportunities. Remote working is subject to specific limits set out in internal rules and must align with business needs and managerial approval. Please note that full-time remote work is not permitted.

Competition publication date: 11/12/2025

Competition closing date: 22/01/2025 (23:59 Brussels time)

Reserve list: Applicable – See details in the “Useful information” section

Your team

Within the The Aviation Transformation Directorate, the Machine Learning Engineer will design, develop, and deploy scalable machine learning solutions, bridging the gap between data science prototypes and production-grade systems. S/He will build robust data pipelines, optimize model performance for reliability and latency, and ensure the continuous monitoring of deployed models. This involves rigorous MLOps practices, collaboration with data scientists and software engineers, and maintaining high standards of code quality and automation.

Your role

Your role will be to:

Contribute to the design and implementation of scalable data pipelines (ETL) to ingest, process, and validate data from various sources for model training and inference.

Develop and deploy ML models into production environments using containerization (Docker) and orchestration (Kubernetes) to ensure portability and scalability.

Optimize model performance by tuning hyperparameters, reducing latency, and managing memory footprint (e.g., quantization, pruning) for efficient inference.

Implement CI/CD pipelines for Machine Learning to automate code testing, model training, evaluation, and deployment processes.

Monitor deployed models for performance degradation and data drift, establishing automated alerting and retraining workflows to ensure reliability.

Maintain high-quality coding standards through code reviews, modular design, and writing robust unit/integration tests for both application code and mathematical correctness.

Stay updated on latest technological developments/methods/best practices/trends (e.g., Large Language Models, MLOps tools) and share them within the internal community.

Carry out any other task in line with the main purpose of the job.

Required qualifications, experience & competencies

Completion of third level studies in a relevant field (e.g. Computer Science, Data Science, Mathematics, Software Engineering), meeting European Qualifications Framework (EQF) Level 7 followed by at least 3 years relevant professional experience.

Hands-on experience as a Machine Learning Engineer.

Hands-on experience with and solid knowledge of Python and ML frameworks (e.g. PyTorch, TensorFlow, Scikit-learn).

Experience with MLOps tools and containerization (Docker, Kubernetes, MLflow, Airflow).

Experience with cloud computing platforms (e.g., AWS, Azure, or GCP) for ML workloads.

The following would be an asset:

Experience or knowledge of modern Data/Big data engineering technologies (e.g. Spark, Ray).

Knowledge of API development (FastAPI, Flask) for model serving.

Experience with GPU acceleration and distributed training.

Knowledge of the scientific modelling, data simulation or predictive analytics (e.g. emissions/sustainability models).

Knowledge of air transport.

Analytical thinking: you analyse information and are able to identify relationships.

Problem-solving: you anticipate and solve business problems.

Creativity and innovation: you apply new approaches.

Teamwork: you foster teamwork.

Quality focus: you set and foster high quality standards.

Ability to work in a multinational and multicultural environment.

Professional conduct in line with the corporate behaviours of the Agency, i.e. result-driven, readiness to change, customer focus, integrity and team-player approach.

The working languages of the Agency are English and French. For this particular job, candidates must be proficient users of English at level C1/C2. The selected candidate will be required to become a basic user of French at level A1 before the end of the probation period.
The levels relate to the European-framework-reference Common European Framework of References for languages (CEFR).

Useful information

Applications will be accepted from nationals of EUROCONTROL Member States only.

The selected candidate may be required to provide documentary evidence confirming they meet the minimum education requirements. They will be informed if and when specific evidence is needed. Please note that no offer (for external candidates) or appointment (for internal candidates) will be made until the necessary evidence, if required, is validated.

The selected candidate will be engaged for a period of 3 Year(s) in accordance with the Conditions of Employment of Contract Staff at EUROCONTROL.

Renewal(s): This contract may be renewed several times, but its total duration, including all renewal periods, may not exceed nine (9) years.

Conversion: Conversion to an undetermined duration contract is possible where all of the following cumulative conditions are met: the post is confirmed as being of a lasting nature; the staff member has completed at least five years of service; the staff member’s performance has been satisfactory; and the conversion is in the interests of the service. Conversion is therefore not automatic.

The selected candidate must successfully complete a probationary period of nine (9) months before being established in the post.

The selected candidate shall be engaged in principle at the basic grade of the advertised grades.

Candidates declared suitable who are not selected for the post will be placed on a reserve list for similar roles. The reserve list will be valid for one year from the closing date of applications.

Information on salary and benefits can be found on our Careers site

EUROCONTROL is an equal opportunities employer. We are committed to equality and diversity. In the event of equal merit, preference may be given to the applicant from the under-represented diversity characteristics in order to complement diversity of teams and rebalance the workforce.

Candidates should go to our Careers site and read the tips on how to apply.

Level of Education: Bachelor Degree

Work Hours: 8

Experience in Months: No requirements