enmacc is Europe’s largest over-the-counter trading market venue for energy and environmental commodities. We’re reshaping how energy is traded by bringing speed, transparency, and simplicity to a market that’s long relied on outdated processes.

Our platform enables over 600 companies and 2,200 professionals to trade power, gas, Guarantees of Origin, emissions allowances, and weather derivatives, quickly, securely, and efficiently. It’s used by energy suppliers, trading houses, industrial companies, and municipal utilities, creating a vibrant network of market participants. By joining enmacc, they gain access to more opportunities, better liquidity, and the tools to accelerate the energy transition. Something we’re deeply committed to. 

Founded in 2016, enmacc is a fast-growing scale-up with a team of 100+ people spread across Europe. We’re passionate about energy, technology, and building something that makes a real impact. If you’re excited by smart people, meaningful work, and a dynamic environment, we invite you to submit your application below.

Join us in disrupting the international energy trading market and leave your mark in re-defining how energy traders work! 

We are looking for ambitious ML Engineers  that would like to seize the opportunity to play a major role in shaping the future of intelligence at enmacc, building high-impact products powered by machine learning and LLMs. You will report directly to the Head of Platform, collaborating closely with product and engineering teams to identify opportunities for introducing intelligence into the energy trading marketplace. 

Your focus will be on improving upon existing implementations of machine learning, identifying opportunities for ML and GenAI, and leading data science initiatives to foster both individual and team growth within engineering.

• End to end ownership of data science products, spanning the entire technical workflow and related project management responsibilities - you get a high level of autonomy and the responsibility which comes with it
• Collaborate with our Product Data Scientist to bring ML models from the concept stage to production, owning the collaboration with engineering to develop product platform feature integrations.
• Enable the integration of Generative AI models, like those for natural language integration, which will allow development teams to integrate these capabilities without requiring extensive ML expertise.
• Put the customer/user of your data science product at the centre of your product development - work closely with commercial teams to deeply understand the needs of our customers and derive data science products that will deliver real value
• Advocating Data Science fundamentals in the Development and Product Departments
• Driving collaboration between Platform, Product and Engineering teams

• Excellent academic background in a quantitative field such as computer science, engineering, economics, etc or equivalent experience.
• Proficiency in Python and specialised ML libraries (e.g. pandas, scikit-learn, PyTorch, FastAPI)
• Strong familiarity with Generative AI, including experience with different large language models, embeddings, vector databases and libraries like LangChain or Llamaindex for building and deploying GenAI systems.
• Solid understanding of the benefits and drawbacks of different ML algorithms (incl. Knowledge of deep learning models)
• Experience working with relational/NoSQL databases (e.g. Postgres, MySQL, DynamoDB)
• Experience working with Docker, AWS services (e.g. S3, Athena, Glue, Cloudformation, Bedrock)
• Experience in deploying, maintaining and updating models in production, as well as tracking experiments leveraging a MLOps approach
• Experience tracking performance of models in production, identifying drift/deviations and adjusting for them
• Experience working end-to-end (from ideation to deployment) to deliver production-ready data products
• Experience working with business stakeholders
• Able to work autonomously and in a result-oriented way

• Small teams of highly skilled developers
• High autonomy and working with a modern tech stack: Java, Kotlin, Spring Boot, Amazon Web Services, Infrastructure As Code, Angular, Typescript, Cypress, Docker, Gitlab, Intellij IDEA
• Our Rapid Prototyping Days and Level Up Days to explore new technologies and prototype your ideas
• Being part of our supportive, persistent, curious, and fun culture!
• Joining a grown-up start-up in the SaaS/energy field
• An entrepreneurial company culture with flat hierarchies
• Modern office spaces in the heart of Munich
• State of the art hardware and software
• A diverse, international team that celebrates differences
• Free drinks, fruit, and coffee as well as special fitness offers
• Hybrid work set-up, allowing you to combine working in the office with working from home
• German classes
• Learning & Development: a Personal Development Plan along with an allocated budget and 5 extra days off to further your personal & professional development
• Relocation assistance for international candidates
• Dog-friendly office

Got energy? Join us!