TradingView

Machine Learning Engineer

TradingView  •  Limassol, CY (Hybrid)  •  13 days ago
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Job Description

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About the team

Hi! My name is Vitalik, and I’m the Team Lead of the Core ML team.

We develop and implement machine learning solutions for various products, including recommendation systems, AI assistants, customer support chatbots, spam filters, and other intelligent modules.

Our goal is to build a universal ML infrastructure that helps the business interact with users more effectively, automate processes, and maintain high service quality.

Responsibilities
  • Design and develop ML modules for various products — from experimentation and prototyping to production integration

  • Participate in ML solution architecture, define technical approaches, and establish engineering standards

  • Prepare and process data, train models, conduct A/B tests, and analyze results

  • Monitor and improve model quality, interpret model behavior and key metrics

  • Collaborate with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their effectiveness

  • Work with MLOps infrastructure: CI/CD, monitoring, logging, and containerization

What makes you the perfect fit
  • 3+ years of experience in ML engineering and building production-grade machine learning systems

  • Strong expertise in NLP, LLMs, AI assistants, spam detection, behavioral analysis, and related areas

  • Proven experience delivering end-to-end ML solutions — from idea and data preparation to production deployment and ongoing support

  • Excellent Python skills and experience in industrial software development

  • Strong understanding of A/B testing principles and result analysis

  • Experience making architectural decisions and driving engineering best practices

  • Hands-on experience with Docker, Kubernetes, CI/CD systems, monitoring tools (e.g. Prometheus, Grafana), and logging solutions

Will be a plus

  • Product mindset and understanding of business metrics

  • Experience building real-time and high-load ML systems

  • Familiarity with modern MLOps tools such as MLflow, Airflow, and Kubeflow

What we offer you
  • Flexible working hours and a hybrid work format

  • Well-equipped offices for focused and collaborative work

  • A global, distributed team of 500+ professionals

  • Learning, mentorship, and long-term career growth

  • Relocation support and private health insurance

  • Performance-based bonuses

  • TradingView Premium access

  • Regular team events and company-wide meetups

Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

TradingView

About TradingView

We are TradingView, the world's most popular charting platform and the industry's forefront for financial visualization solutions. 100M+ traders worldwide use our platform as a go-to destination to chart, chat, and trade financial markets.

Our product portfolio includes best-in-class charts, versatile commercial libraries, a social network, and many more tools for retail and business audiences. With 200M+ monthly visits, we are the #1 all-things investing website, and our solutions are used by fintech leaders such as Revolut, Binance, and CME Group.

We wouldn't be where we are without our tight-knit multinational team from 40+ countries, distributed globally, including across core offices in London, Malaga, and Tbilisi. To get the best, we offer relocation packages with competitive compensation and ensure a smooth onboarding through mentorship and clear career paths.

Reach out to us, and let’s grow together.

Industry
Finance & Insurance
Company Size
1,001-5,000 employees
Headquarters
London, GB
Year Founded
2011
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