Machine Learning Engineer

Job Title: Machine Learning Engineer

Location: Luxembourg, Luxembourg

Job Type: Permanent

Working setup: 4 days per week onsite / 1 day Remote

Language: English

Salary: €90,000 (can be flexible depending on experience)

Excellent Benefits, Relocation Package & Stock options.

Candidates will ideally have the right to work within the EU and can start work within the next 2 months.

Talent-Relay has partnered with a growing Earth Observation client to onboard several Machine Learning Engineers into their expanding science and research team, in Luxembourg.

Our partner leverages satellite imagery, thermal infrared and multi-spectral data, to deliver valuable insights into agriculture, climate, and commercial clients.

The team is responsible for developing advanced algorithms to transform satellite data into actionable information.

We require a Machine Learning Engineer to create cutting-edge models to supporting product. If you’re passionate about applying machine learning to real-world challenges in agriculture, climate, and safety, this role is for you.

Skills & Requirements:

• Demonstrable experienced in Machine Learning & Data Science,
• Advanced degree (Master’s/Ph.D.) in Computer Science, Machine Learning, or related fields.
• 3+ years of machine learning experience with various tools and frameworks.
• Strong skills in Python, statistics, and problem-solving.
• A good understanding and background of Computer Vision.
• Experience deploying models in production and using HPC platforms.
• Experience processing satellite imagery (e.g., Sentinel, Landsat) using tools like GDAL and Rasterio.
• Ideally have a good understanding of land-cover classification or time-series forecasting.
• Familiarity with software development practices (e.g., version control, CI/CD).
• Ideally, candidates will have a deep understanding of LLM, particularly the algorithms and their inner workings.

Responsibilities:

• Research and develop advanced machine learning and AI solutions.
• Build and optimize machine learning models and algorithms.
• Analyse satellite imagery to provide insights for agriculture and climate applications.
• Use Python and high-performance computing tools.
• Work with software teams to deliver solutions to customers.
• Manage technical challenges and risks during development.

Personality Profile:

• You will be a valued team member that’s bought into the mission
• A task oriented, Individual contributor.
• Driven by science, engineering, and focussed on long-term objectives
• Possess a research & engineering background, can bring new idea’s to the team
• Pragmatic individual with your feet on ground
• Have a passion for Statistics, Mathematics, Image Processing, ML Models
• Ability to collaborate effectively and take initiative.

[email protected]