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Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact.

About Tickmill.

Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).

Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.  

Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.   

Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.  

We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. 
Join the Tigers!

What the job looks like?

The Senior AI/ML Engineer (AI Lead) will have the chance to:

• Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining).
• Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection.
• Build and establish MLOps practices, including model deployment pipelines, CI/CD, and lifecycle management.
• Implement model monitoring frameworks to track performance, data drift, and business impact.
• Ensure model explainability and transparency using techniques such as SHAP and other interpretability methods.
• Define and enforce best practices around model governance, documentation, and auditability.
• Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, and reproducibility.
• Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into AI solutions.
• Drive continuous improvement through feedback loops and model retraining strategies.
• Mentor team members and promote best practices in production AI and machine learning.
  

What will you need to be able to do the job?

• 5–8+ years of experience building and deploying machine learning models in production environments.
• Strong Python programming skills and solid software engineering fundamentals (testing, code quality, design patterns).
• Strong understanding of machine learning concepts, model evaluation, and feature engineering.
• Hands-on experience with large-scale data processing (Spark / PySpark).
• Experience with ML lifecycle tools (MLflow or similar).
• Experience building and maintaining CI/CD pipelines (GitHub Actions preferred).
• Strong SQL skills and experience working with large, complex datasets.
• Proven ability to deliver AI/ML solutions with measurable business impact.
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.
  

The below are considered as a plus:

• Experience in fintech, trading, or financial services environments.
• Experience with real-time or streaming ML systems.
• Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG).
• Experience working in regulated environments and implementing model governance frameworks.
  
  

By joining us, you can expect:

• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive remuneration package based on qualifications and experience.
• Opportunities to learn and grow through our “Employee Training & Development program”.
• Health Insurance.
• Hybrid Work Flexibility.
• Multiple events to bond with the team and the group.
• Birthday and Loyalty benefits.
  

Make your next career step and apply NOW!

*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.