Machine Learning Engineer

Marsbridge Capital Limited; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Marsbridge Capital Limited is seeking a Machine Learning Engineer to design, build and deploy predictive models that support trading strategies, bridging quantitative research with high‑performance computing in live markets. You will own parts of the development cycle from prototype to production, and collaborate closely with researchers.

The role emphasizes scalable ML pipelines, low latency optimizations, robust validation with backtests, and clear documentation so clients and teammates can

Responsibilities

• Develop and productionize ML models for signal generation and risk management.
• Build robust MLOps pipelines for model training, evaluation, and deployment.
• Collaborate with researchers to translate statistical models into production-ready code.
• Optimize models for high-speed, low-latency environments.

Job description

Enjoy ownership, mentorship, flexibility, and the chance to make a real impact, beyond just a paycheck.

We welcome talented engineers and researchers. Explore our roles, including project-based opportunities and internships.

Join our team

Machine Learning Engineer

As an ML Engineer, you will design, build, and deploy predictive models that drive ourtrading strategies. You'll work at the intersection of quantitative research andhigh-performance computing to bring algorithmic ideas to life in live markets.

Key responsibilities

• Develop and productionize ML models for signal generation and risk management.
• Build robust MLOps pipelines for model training, evaluation, and deployment.
• Collaborate with researchers to translate statistical models into production-ready code.
• Optimize models for high-speed, low-latency environments.

Our culture / Why work with us

Work with us, grow with us, win with us

Evidence before conviction

Test investment ideas, challenge assumptions and let robust validation guide decisions.

From research to working systems

Connect financial research with clean data, reproducible backtests and dependable tools clients can use.

Own a problem, share what you learn

Collaborate directly with researchers and engineers, take responsibility and share findings, including what didn’t work.