Machine Learning Engineer

Libertex Group Overview 

Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. 

The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others.

A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team.

We build innovative fintech so people can #TradeForMore with Libertex.

Job Overview 

We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions.

Responsibilities:

• Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions.
• Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications (AI agents, chatbots, MCP)
• Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation.
• Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring.

Requirements

• Great understanding of business and where ML solutions can fit and bring value
• Technological stack - Python, PyTorch,, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, Bedrock, EC2, EKS), Docker, FastApi, Kafka, Airflow
• Establishing and maintaining MLOps practices, including version control for models, automated testing, and CI/CD for ML systems
• Utilise AWS ML (or similar) services for developing and deploying models
• General understanding of IT infrastructure, various data source types, development processes etc.
• Great to have previous experience in applying data science tools to mobile apps, gaming or fintech
• Intermediate level of English
• Experience with LLMs (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP).

Benefits

• Quarterly bonuses based on Company performance

• Generous relocation package for the employee and their immediate family