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# Senior Machine Learning Engineer

- **Company:** Robert Half
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Software Design Patterns, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Sentiment Analysis, Pytorch, Large Language Models, Deep Learning, Generative AI, Containerization, Information Technology, Machine Learning Operations, Docker
- **Published:** July 16, 2026
- **Apply:** https://dejobs.org/x/x/2E9D3A02B68342CCB596ECC00DF01D79/job/

## About the Role

Master's degree in Computer Science, Data Science, Machine Learning, or related field (Ph.D. preferred)

5-7+ years of experience developing and deploying ML models in production environments

Deep expertise in Python, with clean, modular, well-documented coding practices

Proven experience applying LLMs to solve business problems, with strong understanding of GenAI design patterns

Proficiency with ML frameworks and libraries: TensorFlow, PyTorch, Transformers

Familiarity with AWS and containerization tools like Docker

Strong grasp of ML fundamentals: deep learning, generative models, NLP techniques (sentiment analysis, entity recognition, disambiguation)

Excellent communication skills-able to translate complex technical concepts for non-technical audiences

## Description

As our portfolio of AI-driven solutions continues to expand, we're looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions-delivering production-grade machine learning systems that solve real business problems.

You'll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you'll have visibility and influence across the full ML lifecycle.

? Core Responsibilities

 * Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications
 * Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI
 * Prioritize projects based on business impact and evolving market conditions
 * Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals
 * Integrate ML solutions-including GenAI-into existing platforms to ensure seamless user experiences and scalable adoption
 * Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards
 * Share knowledge and mentor colleagues to build machine learning fluency across the organization


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