Machine Learning Engineer

Location: London

Employment Type: Full time

Location Type: Hybrid

Department: Analytics & Data

Compensation: Competitive (Financial Services)

About TradingHub:

Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.

The Role:

We're looking for a Machine Learning Engineer to join our Analytics division and play an important role in enhancing our metrics offering. As our first dedicated ML hire, you’ll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market-leading suite of trade surveillance products. This role will see you combine hands‑on model development and software engineering, and collaborate with a high-performing team of Quant Researchers and Developers as well as other cross-functional departments.

Responsibilities:

• Design, develop, and deploy machine learning models to enhance TradingHub’s market surveillance and analytics platform.
• Contribute to the development of advanced metrics used to analyse trader behaviour, order execution and potential market abuse scenarios.
• Apply machine learning and statistical techniques to large-scale financial datasets, improving accuracy and reducing false positives.
• Leverage LLM and NLP models to extract insights from unstructured data and integrate them into existing analytics workflows.
• Collaborate closely with quantitative developers, data engineers, and product teams to productionise models into scalable, high-performance systems.

Requirements:

• Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn).
• Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning.
• Industry experience using Large Language Models (LLMs) to deliver commercial value.
• Experience building data pipelines and performing feature engineering on real-world datasets.
• Strong problem-solving skills and attention to detail.
• Good understanding of SQL and working with complex datasets.
• Keen interest in financial markets e.g. pricing, trading, fixed income.

Benefits:

Life at TradingHub is a rewarding journey within a fast‑growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.

Employee Benefits:

• Annual discretionary performance bonus (permanent employees only).
• Hybrid working policy.
• Office lunches twice a week.
• Private medical insurance + dental cover.
• Extended parental leave (up to 6 months of fully paid maternity leave).
• 25 days annual leave + bank holidays.
• Enhanced company pension plan.
• 5 days study leave towards professional qualifications.
• Salary sacrifice schemes.
• Death in service coverage.

Equal Opportunity Statement:

TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socioeconomic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications.