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Machine Learning Engineer Two Jobs in Houston, TX

Kirkland & Ellis LLP.

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service ... AI Engineer II role, we'd love to hear from you! Compensation The base salary range below ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Mentor junior engineers and provide technical guidance on AI best practices, model development, and ...

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Engineer Two JobsMachine Learning Engineer Two Jobs in Houston, TX

Machine Learning Engineer Two information

See Houston, TX salary details

$30.1K

$123K

$184.8K

How much do machine learning engineer two jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer two in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning and AI, and often working in high-demand industries or at large tech companies can earn $300,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Which 3 jobs will survive AI?

Machine Learning Engineers are likely to continue playing a vital role as AI advances, focusing on developing and refining algorithms. Jobs that require complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also expected to remain in demand. These roles often involve tasks that are difficult for AI to replicate fully.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in algorithms and data modeling, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or top-tier companies.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in leading tech companies or finance firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within the organization.
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Machine Learning Engineer Two jobs near you

Senior Machine Learning Engineer - Agentic Workflow

Vitol

Houston, TX • On-site

$99K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This role sits at the intersection of LLM systems engineering, distributed platforms, and applied ML, with a strong emphasis on orchestration, reliability, and extensibility. You will be responsible for architecting and implementing agent-based workflows that integrate large language models, retrieval systems, structured knowledge, and external APIs-designed for robustness, observability, and real-world business use.
  • Design and implement multi-agent and single-agent workflows using orchestration patterns and tools, context engineering, memory management, and guardrail strategies.
  • Design RAG pipelines incorporating vector search, hybrid retrieval, and citation tracking.
  • Implement knowledge graph-backed reasoning, including ontologies, entity resolution and graph-based context construction.
  • Design evaluation frameworks for agent task completion correctness, quality, cost, and latency.
  • Develop and deploy machine learning models, focusing on production readiness, scalability, and performance.
  • Collaborate with data scientists to transition experimental models into robust, production-grade applications.
  • Integrate with collaboration platforms (e.g., Teams, alerting systems) for intelligent distribution of insights.
  • Implement and manage CI/CD pipelines to automate deployment, testing, and monitoring of models.
  • Architect and deploy systems on AWS, leveraging compute, storage and security services

Qualifications
  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 6+ years of experience in software engineering, ML engineering, or platform engineering.
  • Strong proficiency in writing production-grade Python, and experience with Claude Code or Cursor.
  • Hands-on experience with LLM-based systems, including:
    • LangChain / LangGraph
    • MCP
    • Langsmith
    • Claude or comparable frontier models
    • AWS AgentCore or comparable agentic frameworks
  • Solid understanding of RAG architectures, embeddings, and vector search.
  • Experience designing and consuming APIs (REST and/or async/event-driven).
  • Strong cloud engineering experience on AWS.
  • Knowledge of how to fine-tune frontier models to specific domain knowledge
  • Experience with distillation, quantization and small language models is a plus
  • Experience deploying traditional machine learning models into production environments using MLOps tools and best practices.
  • Knowledge of distributed systems, large-scale model optimization, and API development.
  • Exceptional ability to work on a team - especially a dynamic, innovative "tiger team" developing early stage PoC systems.
  • Strong understanding of container orchestration and cloud-native application design.
  • Ability to work in dynamic environments, handling rapid experimentation and iterative development.

Additional Information
Personal Characteristics
  • A self-motivated individual who thrives on seeing the results of their work and its impact on the business
  • Strong communication skills, both verbally and in writing
  • A keen sense for the art of the possible
  • Proven ability to be flexible and work hard, both independently and collaboratively
  • Methodical and organized - in general, in experimental design, and in code!
  • Attention to detail with strong analytical, mathematical, and problem-solving skills
  • An interest in learning about the energy commodities space
  • Resourceful and able to think creatively and adapt in a dynamic and energetic environment
  • Team player, with an open, non-political style and a high level of personal integrity
  • Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows

This Role is located in Houston, TX - In office 5x a week
All your information will be kept confidential according to EEO guidelines.

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