Machine Learning Engineer

Machine Learning Engineer | Python / C# / LLMs | FinTech Data Platform | Early Career

A global financial data company is building machine learning systems that outperform IBM Watson, and they’re looking for a bright, curious engineer to join the team.

They develop data extraction engines used by the world’s biggest banks and trading venues including Thomson Reuters, CME, S&P, Deutsche Börse, and others. These systems are now powered by large language models that automate what used to take thousands of people.

You’ll work directly with the founder, a former university lecturer and hands-on mentor, to design, train, and deploy LLM-driven tools that make sense of complex financial information at scale.

What you’ll be doing

• Building and integrating machine learning models for financial data extraction
• Writing clean, efficient code in Python and/or C#
• Working across NLP, automation, and data-parsing projects
• Experimenting with LLMs and model fine-tuning to enhance accuracy and performance
• Turning prototypes into production-ready systems used by leading financial institutions

What you’ll bring

• Strong academic background or 0–2 years of commercial experience
• Solid grounding in Python and an interest in C# or related backend technologies
• Curiosity about LLMs, NLP, and data automation
• A problem-solving mindset and hunger to learn fast under direct mentorship
• Must have a right to work in the UK, no sponsorship required

The offer

• £38,000–£55,000 depending on experience
• Fully remote, work from anywhere, base must be in the UK
• Huge scope to learn, experiment, and accelerate your career in applied machine learning

If you’re the kind of engineer who learns fast and wants to springboard your career, this one is for you!!

Machine Learning Engineer | Python / C# / LLMs | FinTech Data Platform | Early Career