Top 23 Lead machine learning engineer Jobs in Houston Tx

Lead Machine Learning Engineer
NobleAI —Houston, TX
- $190,000 - $205,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
Quick Apply
Sr Tech Lead – Software Engineering & A
Engineers and Constructors International Inc. —Houston, TX
- Contract
- Computer Science
- System design
- Java
Quick Apply
3d
Lead Software Engineer, Data & Cloud
Pariveda —Houston, TX
- $105,400 - $115,900 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Management
- Paid parental leave
- Health savings account
LEAD APC ENGINEER
Yokogawa —Sugar Land, TX
- Full-time
- 7 years
- Master's degree
- SQL
- Dental insurance
- Vision insurance
Lead BMS Software Engineer
MICROVAST INC —Houston, TX
- Computer Science
- Writing skills
- English
Quick Apply
Lead Software Engineer- Python / AI
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- Office
- Health insurance
- Tuition reimbursement
12d
Lead / Sr Analyst Data Scientist
Boardwalk Pipelines —Houston, TX
- Full-time
- Computer Science
- Office
- SQL
Lead Software Engineer- Java - JPA
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- Java
- Health insurance
- Tuition reimbursement
8d
Lead Software Engineer- Java /Python / Data
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- Java
- Health insurance
- Tuition reimbursement
10d
Lead Data Scientist
Schlumberger —Houston, TX
- Azure
- Computer Science
- System design
- Dental insurance
- Vision insurance
3d
Network Engineer, ENS Strategic Lead
Meta —Houston, TX
- $193,000 - $271,000 a year
- Computer science
- Computer Science
- 5 years
Lead Software Engineer Python
JPMorganChase —Houston, TX
- Full-time
- Azure
- 5 years
- SQL
- Health insurance
- Tuition reimbursement
Lead Software Engineer - Full Stack/Java/React/Cloud Services
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- AWS
- Health insurance
- Tuition reimbursement
12d
Snowflake Advanced AI Solution Lead
Accenture —Houston, TX
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Lead Engineer - Engineering Digitalization & AI
Eaton —Houston, TX
- $105,000 - $154,000 a year
- Hybrid work
- Background check
- Computer Science
- Writing skills
- Retirement plan
3d
Regional AI & Data Hub Technical Lead
Bureau Veritas —Houston, TX
- Full-time
- Management
- Continuous improvement
- Mentoring
Cyber Engagement Program Lead
HP —Spring, TX
- $105,050 - $161,800 a year
- Full-time
- Computer Science
- 5 years
- Senior level
- Paid parental leave
- Paid holidays
4d
Cyber Engagement Program Lead
Information Technology Senior Management Forum —Spring, TX
- $105,050 - $161,800 a year
- Full-time
- Computer Science
- 5 years
- Senior level
- Paid parental leave
- Paid holidays
3d
Lead Solution Manager
Imubit —Houston, TX
- Remote
- Bachelor of Science
- Master's degree
- Presentation skills
8d
Technical Delivery Lead - Data & Agentic Transformation, Google Cloud
Accenture —Houston, TX
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance

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lead machine learning engineer jobs near houston tx

Lead Machine Learning Engineer

NobleAI
Houston, TX

Quick Apply

Job Details

Full-time
$190,000 - $205,000 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching
Life insurance

Qualifications

AI models
Software engineering
Reinforcement learning
Engineering development testing
Generative models
AI platforms (beyond public GPTs)
Scalable systems
Prompt engineering
Microservices
Production systems
Machine learning cloud services
Collaboration with product development teams
Machine intelligence
Model deployment
Data quality monitoring
Developing large-scale AI models
Natural language processing
Scalability
System architecture design
Model training
Machine learning libraries
Model evaluation
Machine learning frameworks
Design (software development lifecycle)
MLOps
Generative AI

Full Job Description

At NobleAI, we believe that energy, material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.

We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.

At NobleAI, we are developing the next generation of intelligent chemical informatics platform. Our goal is to create a seamless, intuitive experience that empowers users to achieve unprecedented productivity in data processing, visualization, and model building. We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid iteration, and has the ability to solve challenging problems in science and technology.

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP platform. This role is ideal for individuals passionate about the cutting edge of LLMs and eager to build AI systems that can reason, plan, and act.

Join us in building a more sustainable world through the power of AI and scientific innovation.

Requirements

Design domain specific AI systems and chatbots capable of complex dialogue management and workflow execution via tools, API calls and multi step tasks based on user goals, multi-agent orchestration.
Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to support accuracy measurement for use cases
Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models.
Collaborate with product and software engineers to integrate the features into our platform.
Establish prompt engineering and data management best practices for transparency and governance.
Establish best practices for monitoring and evaluation of data and models across the model lifecycle (development, testing, and production)

What We’re Looking For

MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field.
5+ years of hands-on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP).
Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures.
Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow
Hands-on experience with LLM agent frameworks for building complex, tool-using applications, multi-agent orchestration, or establishing MCP services for platform capabilities.
Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB.
Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic).
5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe).
Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles.
Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.

Benefits

We offer great pay & benefits.

Top-tier health benefits coverage, including medical, dental, vision, disability and life insurance
Flexible paid time off & generous holidays
Remote-first with co-working access at Industrious offices
401(k) with employer match
Equity package
Salary Range $190,000 - $205,000 (Depending on experience & Geographic location)
Performance-based bonus plan

Quick Apply

Refine Your Search

lead machine learning engineer jobs in houston tx

Lead Machine Learning Engineer

Sr Tech Lead – Software Engineering & A

Lead Software Engineer, Data & Cloud

LEAD APC ENGINEER

Lead BMS Software Engineer

Lead Software Engineer- Python / AI

Lead / Sr Analyst Data Scientist

Lead Software Engineer- Java - JPA

Lead Software Engineer- Java /Python / Data

Lead Data Scientist

Network Engineer, ENS Strategic Lead

Lead Software Engineer Python

Lead Software Engineer - Full Stack/Java/React/Cloud Services

Snowflake Advanced AI Solution Lead

Lead Engineer - Engineering Digitalization & AI

Regional AI & Data Hub Technical Lead

Cyber Engagement Program Lead

Cyber Engagement Program Lead

Lead Solution Manager

Technical Delivery Lead - Data & Agentic Transformation, Google Cloud

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