Senior Machine Learning Engineer

Elia Group; Brussel; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Salary package

Year-end bonus

Meal vouchers (€10/day)

Eco-vouchers

Sport & culture vouchers

Company car & mobility

Elia shares

Job summary

Elia Group is seeking a Senior Machine Learning Engineer to lead the EL.AI platform, guiding the lifecycle of AI models from build through deployment and monitoring. You will collaborate with the AI Architect and Product Owner to define how to implement scalable, secure, and production-ready features across the organization.

The role emphasizes hands-on engineering, platform enablement, and governance. Expect involvement in cloud-native architectures, MLOps, CI/CD, and security-by-design to

Qualifications

• Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
• Minimum of 10 years of experience in AI, cloud, or data engineering with at least 5 years delivering AI/ML in production.
• Experience designing, building and operating platforms used across multiple teams.

Responsibilities

• Shape the EL.AI technical roadmap by evaluating AI capabilities into scalable platform features.
• Drive design, development and evolution of the EL.AI platform with focus on scalability and reliability.
• Develop reusable frameworks, templates and pipelines to accelerate AI adoption across the organization.
• Translate architectural principles into concrete implementation patterns and governance.

Skills

English fluency

Cloud engineering

ML engineering

MLOps

Azure ecosystem

Kubernetes

Data platforms

Security by design

Education

Master’s degree in Computer Science/Engineering/Math

Tools

Azure ML

Databricks

MLflow

Job description

Excited to work for a key Belgian player in the energy landscape?

The Belgian and European energy landscape is in full swing. Did you know that Elia Belgium plays a crucial role in this? As part of Elia Group, a European transmission system operator, Elia Belgium ensures the reliability and sustainability of the electricity supply in our country.

Side-by-side with your talented colleagues, you will play a part in building a sustainable, green and reliable energy infrastructure that stimulates economic growth and reduces our ecological footprint.

Only together can we make the biggest impact possible! We believe in the power of diversity: we are convinced that an inclusive and diverse work environment leads to more innovation, creativity and better results.

Senior Machine Learning Engineer

Requisition ID: 11562

Posting Start Date: 27/10/2026

Function

The Senior Machine Learning engineer is the technical reference for the EL.AI product, the Central IT AI platform that eases the lifecycle of Machine Learning and AI models — from build, to training, to deployment and monitoring.

The role turns emerging AI capabilities into production-grade, reusable platform features that accelerate the enablement, adoption and security of AI across Elia Group. Working hand in hand with the AI Architect and the Product Owner, the senior machine learning engineer owns the "how": technical feasibility, implementation patterns, operationalization and engineering quality of the platform.

The role is deliberately hands-on and enablement-oriented. It is the execution counterpart of the AI Architect, who owns the target architecture, standards and governance framework.

Responsibilities

• Shape the technical roadmap of EL.AI by evaluating emerging AI capabilities and translating them into scalable, production-ready platform features.
• Drive the design, development and continuous evolution of the EL.AI platform, with a strong focus on scalability, reliability, maintainability and operational excellence.
• Develop reusable frameworks, templates, pipelines and reference implementations that accelerate the adoption of AI solutions across the organization.
• Translate architectural principles into concrete implementation patterns and contribute to the continuous refinement of architectural decisions through operational and implementation feedback.
• Contribute to the evolution of AI governance by turning implementation experience into actionable standards, guidelines and best practices.
• Ensure seamless integration of the platform within the broader AI, data and IT landscape of the Group, while maintaining close alignment with relevant stakeholder teams.
• Conduct technical evaluations, prototypes and proof-of-concepts to validate new technologies, assess feasibility and reduce implementation risks.
• Safeguard technical consistency across the platform and actively contribute to reducing technical debt and improving the long-term sustainability of solutions.
• Act as a technical reference within the team by fostering engineering excellence and promoting best practices in software development, MLOps, CI/CD, testing, observability and documentation.
• Support product development and platform adoption through technical feasibility assessments, onboarding activities, operational guidance and the translation of relevant AI market developments into concrete recommendations for the product roadmap.

Your Profile

• Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field, or equivalent through relevant professional experience.
• Minimum of 10 years of experience in AI, cloud, or data engineering, including at least 5 years delivering AI/ML solutions in production environments.
• Proven experience in designing, building, and operating platforms or shared technical capabilities used across multiple teams.
• Experience as a technical reference, lead engineer, or technical lead within a multidisciplinary environment.
• Fluency in English; knowledge of Dutch, French and/or German is considered an asset.
• Strong expertise in Machine Learning Engineering and end-to-end model lifecycle management, from development and training to deployment, monitoring, and continuous optimization.
• Solid knowledge of MLOps, Generative AI, and Agentic AI, including LLM integrations, RAG architectures, agent frameworks, model governance, and automated operational processes.
• Extensive experience within the Microsoft Azure AI ecosystem and cloud-native engineering, complemented by knowledge of Azure Machine Learning, Azure AI Services, CI/CD, DevSecOps, and Infrastructure as Code.
• Experience with modern data and AI platforms and platform engineering, including Databricks, MLflow, vector databases, Kubernetes, API integrations, and the design of reusable technical building blocks.
• Good understanding of AI governance, cybersecurity, and operational best practices, including security-by-design, observability, FinOps, and relevant AI and information security regulations and standards.

Offer

• Salary: a competitive salary package, allowance for representation expenses, year-end bonus, double vacation pay, meal vouchers (€10 per working day), eco-vouchers, sport & culture vouchers, bonuses based on individual and group results.
• Insurance: group insurance, hospitalisation insurance, ambulant care insurance for the whole family and also personal accident insurance.
• Vacation: You will be entitled to 20 vacation days and 5 additional vacation days, 6 local days, 4 exempt days (after 1 year of employment) and up to 5 long-service days (1 day for every 3 years in employment).
• Social fund: Year-end vouchers, birth and marriage allowance. We will also cover part of the cost of glasses, a dental prosthesis or similar needs.
• Communication: you will be given an iPhone, a phone subscription (for work and private use) and a laptop with internet reimbursement.
• Discounts: you will enjoy a 30% discount on your gas and electricity bill.
• Mobility: we will offer you a company car and public transport or a mobility budget.
• Elia shares: Elia will give you the opportunity to subscribe to shares with a discount of 16.66% on the average share price.

Location

Brussels (Emperor, close to Central Station) + homeworking

Occasional travel to Berlin

There's something electric in the air with this job offer!

In exchange for your work and dedication, you enjoy the following benefits:

• A job full of variety with a top employer: Elia encourages innovation and collaboration.Within our company you will be at the forefront of the energy transition, and you will have the chance to contribute to ground-breaking technologies designed to accelerate this transition. It is a one-of-a-kind opportunity to further develop your knowledge and skills.
• Focus on personal growth and well-being at work:Discover a wide range of professional training and coaching opportunities that are guaranteed to give your personal growth a solid boost. At the same time, as a top employer, we put maximum effort into a positive work culture in which your well-being is central.
• Development opportunities for a challenging career:At Elia, we encourage you to seek out and seize new professional opportunities. You will enjoy complete freedom to shape your career on your own terms.
• A diverse team of passionate colleagues:Elia puts a high value on diversity and inclusion. You will join a diverse and passionate team that enjoys sharing knowledge and leading the way towards a more sustainable future together.

These are just a few of the benefits that distinguish Elia as a Top Employer. We are convinced that your contribution to our team will be invaluable and look forward to welcoming you soon!