Senior Machine Learning Engineer

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Join us at Gorilla and be part of a mission to transform the energy industry. At Gorilla, you'll play a vital role in delivering cutting‑edge data solutions for a lower‑carbon future. We focus on providing efficient, reliable, and flexible SaaS solutions for data processing and analysis in the energy sector. Together, we're driving digital transformation, maximising ROI for clients, and contributing to achieving net‑zero emissions through technology and data‑driven insights.

The energy transition creates immense challenges and opportunities. Our Calculation Algorithms Team sits at the core of Gorilla’s product, turning complex energy data into actionable insights. This team builds the intelligence that powers our customers’ forecasting capabilities and energy data analysis. It’s where deep market expertise meets advanced engineering. As part of this group, you’ll help design and deliver algorithms that run at scale, process millions of energy data points, and enable energy retailers to operate efficiently in volatile markets.

As a Senior Machine Learning Engineer, you’ll take ownership of the design, optimisation, and deployment of forecasting algorithms and ML‑based data solutions that form the backbone of Gorilla’s next‑generation platform. You’ll lead Gorilla’s efforts in machine learning for forecasting, establishing best practices for model design, evaluation, and deployment in production. Collaborating with teams across Data, Product, and Engineering, you’ll ensure that forecasting models scale efficiently, integrate smoothly with our platform, and deliver reliable, explainable results to our customers. This is a forecasting‑focused role that combines hands‑on ML engineering with technical leadership. You’ll set up the processes, tooling, and infrastructure needed to build, release, and monitor machine learning models at scale, shaping Gorilla’s approach to ML and AI in energy data.

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• Design, build, and maintain forecasting algorithms and ML models that power Gorilla’s energy insights at scale.
  
• Lead the technical direction for forecasting, ensuring models are accurate, explainable, and production‑ready.
  
• Develop and improve the processes and tooling that support the full lifecycle of ML models, from training and validation to deployment and monitoring.
  
• Collaborate with Product, Data, and Engineering teams to integrate forecasting capabilities into the Gorilla platform.
  
• Optimise model performance, reliability, and scalability in distributed and cloud‑based environments.
  
• Establish and document best practices for ML development, testing, and release management.
  
• Evaluate and apply modern ML and deep learning techniques to continuously enhance forecasting accuracy.
  
• Mentor engineers in ML engineering concepts, model lifecycle management, and performance optimisation.
  
• Contribute to building a culture of technical excellence through knowledge sharing, documentation, and collaboration.
  

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• 5+ years of experience in software engineering and 5+ years in ML engineering, with proven impact in production environments.
  
• Expertise in Python and the modern data stack such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark.
  
• Strong ML engineering skills, including model development, deployment, versioning, monitoring, and integration into data pipelines.
  
• Experience building and maintaining ML tooling and CI/CD pipelines for model management.
  
• Deep understanding of time‑series forecasting methods and statistical modelling.
  
• Hands‑on experience with cloud‑based and data environments such as AWS and Databricks.
  
• Exposure to deep learning and advanced statistical techniques for forecasting.
  
• Familiarity with SaaS or software product environments; experience in energy data or a strong motivation to learn it is a plus.
  
• Strong communication and collaboration skills, with the ability to mentor peers and guide cross‑functional alignment.
  
• A technical leadership mindset that drives standards, documentation, and scalability in ML and forecasting practices.
  

Our flagship office is in Antwerp, and we also have an office in London and co‑working spaces in Reading (UK), Austin (US), and Melbourne (ANZ). This is a Remote First role, giving you the freedom to choose where and how you work: from one of our offices (if you're nearby), from home, or a mix of both. To be considered for this role, you must already have the legal right to work in Belgium, Germany or the UK. Please note that our company does not provide visa sponsorship or relocation support for this position. Occasional travel is required to attend team meetings.

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• Flexible work options – whether you choose Office Mix or Remote First Mix (currently available within certain timezones and locations). We offer country‑specific mobility benefits, and the ability to work flexible hours. You will be equipped with the best technology for remote work.
  
• A job with purpose: At Gorilla, we’re not just watching the world change—we’re making it happen! We provide cutting‑edge data services to energy retailers, helping them tackle climate change while keeping the lights on; we’re here to make a big impact and have some fun along the way.
  
• Renumeration Approach: clear and no‑nonsense based on your experience and location.
  
• Core Benefits: Wherever your location, you can expect a generous PTO allowance and health insurance coverage.
  
• Career Growth opportunities: As Gorilla is growing at an incredible pace, you can leave your mark – growing alongside Gorilla. Lifelong learning is part of our DNA, and we care about your individual dreams and ambitions, beyond just work.
  
• International Travel: We host Gorilla Company‑Wide Gatherings where we all get a chance to see each other in real life. Past locations have included Belgium, Portugal, the Netherlands, and Spain.