Senior Machine Learning Engineer at TradingView
May no longer be active — verify on the employer site
At a glance
- Company
- TradingView
- Location
- Cyprus
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this TradingView job
- 🏢 TradingView has 10 jobs here, 9 with visa sponsorship see all
- 🛂 Visa: Foreign Interest Company work permit. Minimum salary: €2,500 a month guide
- 💡 No salary shown. Ask TradingView if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Design and implement ML/AI features across products: assistants, chatbots, data processing, generation, search and recommender systems.
- Build end-to-end solutions: data preparation, model training, evaluation, A/B testing and production deployment.
- Select and evaluate modelling approaches (LLMs, open-source/self-hosted models or external providers) based on trade-offs (quality, latency, cost).
- Monitor and improve model performance, investigate failures, refine prompts, data and system architecture to raise quality and reliability.
- Work with product, engineering and analysts to define success metrics and measure product impact; maintain MLOps practices (CI/CD, monitoring, logging, containerisation).
Requirements:
- 3+ years of ML engineering experience delivering production ML systems with end-to-end ownership.
- Strong practical expertise in NLP and LLM-based systems as well as traditional ML/NLP methods (classification, retrieval, ranking).
- Proficiency in Python (or Go) and production-grade development practices; experience with Docker, Kubernetes and CI/CD tooling.
- Familiarity with monitoring and experimentation tools (e.g. Prometheus, Grafana) and solid understanding of A/B testing and metric interpretation.
- Strong analytical mindset, ability to evaluate trade-offs (quality, latency, cost) and improve engineering practices.
Responsibilities
Design and implement ML and AI modules, including LLM-based solutions, from prototyping to production integration. Collaborate with cross-functional teams to monitor model performance, analyze metrics, and improve system architecture.
Requirements
Requires 3+ years of experience in ML engineering with strong practical expertise in NLP, LLMs, and production-grade development. Proficiency in Python or Go and experience with MLOps tools and architectural decision-making are essential.
Key skills
- Machine Learning — in 285 other listings on The Stack
- Python — in 1173 other listings on The Stack
- Go — in 226 other listings on The Stack
- NLP — in 25 other listings on The Stack
- LLMs — in 77 other listings on The Stack
- AI Assistants — in 1 other listing on The Stack
- Data Processing — in 16 other listings on The Stack
- MLOps — in 70 other listings on The Stack
- Docker
- Kubernetes
- CI/CD
- Prometheus
- Grafana
- A/B Testing
- System Architecture
- Generative AI
On The Stack (as of 2026-11-03)
Frequently asked questions about TradingView
Is this Senior Machine Learning Engineer role still open?
It was posted on 2026-08-26. Listings more than 30 days old may no longer be active, so check TradingView's site before applying.
Does TradingView offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on TradingView's site.
Where is this role located?
The listing gives the location as Cyprus. It is marked on-site.
What skills does this role ask for?
The listing names: Machine Learning, Python, Go, NLP, LLMs, AI Assistants, Data Processing, MLOps, Docker, Kubernetes, CI/CD, Prometheus, Grafana, A/B Testing, System Architecture, Generative AI.