Staff Machine Learning Engineer

Oxygen Digital have partnered with a high growth trading and analytics organisation. We are looking for a Staff Machine Learning Engineer to take a leading role in developing real-time algorithmic trading strategies for Short Term European Power Markets. You will join a tight, highly technical team building one of the most advanced automated trading environments in the sector.Key responsibilities include:• Designing and delivering high reliability trading algorithms for continuous intraday markets across multiple price zones.• Identifying signals in high-volume, real-time data using advanced quantitative methods.• Building clean, scalable, and well tested Python software as part of a wider trading and analytics framework.• Collaborating closely with traders and engineers to refine execution logic, improve trading architectures and deepen domain understanding.Successful applicants should come from the following background:• Strong quantitative grounding with hands-on real-time trading experience (power or financial markets).• Advanced Python skills and the ability to produce production ready software; experience across the full ML lifecycle is highly advantageous.• Excellent problem solving and communication skills, with the ability to operate in fast, high stakes environments.• A technical degree (e.g. Computer Science, Physics, Mathematics) and a genuine interest in energy markets and complex systems.Contract: PermanentLocation: CopenhagenSalary: 80,000-100,000 DKK Plus performance bonus and SARThis is an exceptional opportunity to take ownership of real-time trading strategy development within a cutting edge, analytically driven environment.If this position sounds interesting or if you'd like to hear more, please don't hesitate to apply or reach out to me at alfie.penson@oxygendigital.ai