Pay not posted
Machine Learning Engineer
First seen · open on SmartRecruiters as of
Pay not postedHouston, TXOn-siteFull-time
Develop, deploy, and monitor production machine learning solutions across trading and business operations.
Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,875 postings · middle 50% of posted pay$160K–$220KThe work
Builds for teams inside the company
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- Internal teams
- Level
- Senior
- Role
- Technical lead
What they ask for
Experience
Do you meet what the posting states?
The posting asks for 5+ years. How many do you have?
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More like this
$102,400–$204,100
Pay not posted
What you’ll do
- Extend the internal GenAI platform with integrations, data connectors, and domain-specific context engineering.
- Design and evaluate agentic LLM workflows, including tool use and function calling.
- Apply time-series, NLP, classification, and generative AI methods to commodity and operational problems.
- Integrate model outputs into trading systems and communicate findings to commercial stakeholders.
What you’ll bring
- Master’s degree or equivalent in a quantitative field.
- 5+ years developing and deploying machine learning or statistical models in production.
- Fluency in Python and software engineering practices including version control, testing, and code review.
- Experience with ML methods and frameworks, LLM/GenAI applications, prompt engineering, and agentic patterns.
About Vitol
Employee-owned energy and commodities trader supplying oil, gas, power and metals through global trading, logistics and infrastructure networks.
Bootstrapped · 1000–2000 people
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