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Python Chemistry Remote Jobs in Houston, TX (NOW HIRING)

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

At NobleAI, we believe that energy, material science and chemistry are key to building a ... Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

At NobleAI, we believe that energy, material science and chemistry are key to building a ... Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

At NobleAI, we believe that energy, material science and chemistry are key to building a ... Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries ...

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All JobsPython Chemistry JobsPython Chemistry Remote JobsPython Chemistry Remote Jobs in Houston, TX

Python Chemistry Remote information

See Houston, TX salary details

$12

$55

$82

How much do python chemistry remote jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for python chemistry remote in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Python Chemistry Remote?

A Python Chemistry Remote job involves using Python programming to solve problems in chemistry, such as data analysis, molecular modeling, or automating laboratory processes, while working from a remote location. Professionals in this role typically collaborate with chemists, researchers, or engineers to develop software tools, analyze chemical data, or simulate chemical processes. These jobs require a strong understanding of both chemistry and Python programming, along with the ability to work independently and communicate effectively in a remote environment.

How do Python Chemistry Remote roles typically collaborate with laboratory-based teams?

In a Python Chemistry remote role, regular collaboration with laboratory-based teams is essential for ensuring that data analysis, modeling, or automation aligns with experimental needs. Communication often happens through video calls, shared digital platforms, and collaborative tools like GitHub or electronic lab notebooks. Remote professionals may be responsible for transforming raw experimental data into actionable insights, developing scripts for automation, or troubleshooting computational workflows, all while staying closely connected with onsite scientists. Regular check-ins and clear documentation help bridge the physical gap and keep projects on track.

What are the key skills and qualifications needed to thrive as a Python Chemistry Remote professional, and why are they important?

To thrive as a Python Chemistry Remote professional, you need a strong background in chemistry, proficiency in Python programming, and typically a degree in chemistry, chemical engineering, or a related field. Familiarity with computational chemistry tools like RDKit, Open Babel, or molecular modeling software, as well as experience with data analysis libraries such as NumPy and Pandas, is highly valuable. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These qualifications ensure the ability to develop robust chemical data solutions, collaborate virtually, and drive research or product development efficiently in a remote environment.

What is the difference between Python Chemistry Remote vs Python Data Analyst?

AspectPython Chemistry RemotePython Data Analyst
Required CredentialsBachelor's in Chemistry, Python programming skillsBachelor's in Data Science, Python programming skills
Work EnvironmentRemote, laboratory or research-focusedRemote or office, data analysis and reporting
Industry UsagePharmaceuticals, research institutionsBusiness, finance, marketing
Common Search/ComparisonYesYes

The main difference between Python Chemistry Remote and Python Data Analyst lies in their industry focus and required credentials. Python Chemistry Remote is centered on chemical research and laboratories, requiring chemistry background, while Python Data Analyst focuses on analyzing data across various industries. Both roles utilize Python programming and often support remote work, but their application areas differ significantly.

What are popular job titles related to Python Chemistry Remote jobs in Houston, TX?

For Python Chemistry Remote jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Python Chemistry Remote jobs in Houston, TX look for?

The top searched job categories for Python Chemistry Remote jobs in Houston, TX are:

What cities near Houston, TX are hiring for Python Chemistry Remote jobs?

Cities near Houston, TX with the most Python Chemistry Remote job openings:

Python Chemistry Remote jobs near you
Infographic showing various Python Chemistry Remote job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Lead Machine Learning Engineer

NobleAI

Houston, TX • On-site, Remote

$97K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

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)
  • Keep a pulse on the latest advancements in NLP, LLMs, and agentic AI research, and act as a subject matter expert on architecture decisions on platform and use cases.


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

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