> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Machine Learning Engineer

Canonical URL: https://nextmove.md/fde/jobs/28b53791a0996f3f

Vitol posts a FDE role to build for teams inside the company in Houston, TX with no pay posted. Develop, deploy, and monitor production machine learning solutions across trading and business operations. Read from the employer’s posting on November 12, 2026.

- [Vitol](https://nextmove.md/fde/companies/vitol)

First seen Nov 11, 2026 · open on SmartRecruiters as of Nov 12, 2026

Pay not posted Houston, TX On-site Full-time

Develop, deploy, and monitor production machine learning solutions across trading and business operations.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F28b53791a0996f3f&placement=top)
- [View posting at Vitol](https://jobs.smartrecruiters.com/Vitol/744000161144378)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Senior FDE postings, 1,875 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** Industry experience developing and deploying machine learning or statistical models

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Houston, TX. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Houston, TX

- **Work arrangement**: On-site

- **Employment type**: Full-time

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## 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

[View posting at Vitol](https://jobs.smartrecruiters.com/Vitol/744000161144378)

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs in Houston](https://nextmove.md/fde/jobs?region=houston-metro)
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