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Contract Machine Learning Software Engineer Jobs in Houston, TX

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

... Software Engineer to join our global data science and machine learning team. This role will have an ... The individual will work both with our data scientists and machine learning engineers but will also ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

... Software Engineer to join our global data science and machine learning team. This role will have an ... The individual will work both with our data scientists and machine learning engineers but will also ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

... Software Engineer to join our global data science and machine learning team. This role will have an ... The individual will work both with our data scientists and machine learning engineers but will also ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

... Software Engineer to join our global data science and machine learning team. This role will have an ... The individual will work both with our data scientists and machine learning engineers but will also ...

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Pearland, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

mthree

Senior Software Engineer

Houston, TX · On-site

$116K - $154K/yr

They are seeking a highly motivated Senior Software Developer to design and build scalable, secure ... Machine Learning / Generative AI, Prompt Engineering, Agentic AI systems. • Writing and ...

Chase

Lead Software Engineer- Equities

Houston, TX

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking ... machine learning, mobile, etc.) * Be curious about the next generation of modern engineering tools ...

Chase

Lead Software Engineer - DevOps

Houston, TX · On-site

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking ... machine learning, mobile, etc.) * Proven track record with observability (metrics/logs/traces ...

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All JobsContract Machine Learning Software Engineer JobsContract Machine Learning Software Engineer Jobs in Houston, TX

Contract Machine Learning Software Engineer information

See Houston, TX salary details

$60.6K

$140.9K

$196.2K

How much do contract machine learning software engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for contract machine learning software engineer in Houston, TX is $140,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $165,200.00 per year, depending on experience, location, and employer.

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

Which 5 jobs will survive AI?

For a Contract Machine Learning Software Engineer, roles that involve complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research, data science, cybersecurity, software architecture, and technical consulting. These jobs require specialized skills, domain expertise, and adaptability that AI tools currently cannot fully replicate. Continuous learning and proficiency with AI and machine learning tools will help maintain relevance in this evolving field.

What engineers make $500,000?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working with cutting-edge AI technologies. Compensation at this level reflects the complexity and impact of the work, often including bonuses and stock options.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Software Engineer, and why are they important?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How much do contract software engineers make?

Contract machine learning software engineers typically earn between $50 and $150 per hour, depending on experience, location, and project complexity. Rates can vary based on skills in specific frameworks, tools, and the duration of the contract.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
Contract Machine Learning Software Engineer jobs near you

Software Engineer in Data Science

Vitol

Houston, TX • On-site, Remote

$109K - $131K/yr

Other

Posted 23 days ago

Job description

Company Description
Vitol is the world's largest independent energy and commodities trading company. Every day we use our expertise and logistical networks to distribute energy around the world, efficiently and responsibly. From 40 offices worldwide, we seek to add value across the energy supply chain, including deploying our scale and market understanding to help facilitate the energy transition. To date, we have committed over $1 billion of capital to renewable projects and are identifying and developing low-carbon opportunities around the world.
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
As our portfolio of work continues to grow, we are looking for an experienced Software Engineer to join our global data science and machine learning team. This role will have an initial focus on supporting our GenAI tools, including our firmwide virtual assistant. Concretely this means you will:
  • Implement: take the requirements from our broad range of commercial stakeholders and translate these into application features.
  • Design: Ensure we design and build the models and tools to meet the functional/non-functional requirements, as well as being supportable. The role will also help partner teams understand how they can support and integrate to the AI tools.
  • Translate: Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team.
The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions, etc.).
The role will also act as a bridge between the Data Science team and other technology teams for areas like application integration, data sourcing, infrastructure and tooling.
For the successful candidate, this role will give them exposure across the machine learning lifecycle, being able to apply their skills wherever they can add value, from working with business stakeholders to help define the project, to data collation through to solution design and model implementation.
We are looking for a candidate who brings both a breadth and depth of experience, from a theoretical and practical perspective; but equally someone who can and wants to continue learning.
As a small team, everyone is expected to organize, prioritize and execute their own tasks; with a strong focus on maximizing the business value from their actions. This means the individual will need to be comfortable working on multiple projects simultaneously, managing competing priorities and stakeholder requirements.
The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the 'art of the possible'.
Core Responsibilities include:
  • Act as the primary point of contact in Houston for our GenAI toolset
  • In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies
  • Develop, test, maintain software tools and data pipelines for machine learning
  • Provide software engineering and design expertise and best practices (Python) with a focus on maintainability, performance, and reliability
  • As needed, take ownership of key technical infrastructure
  • Engage with projects at any point in their lifecycle, understand and debug bespoke applications; driving performance and reliability
  • Manage relationships and priorities across projects, focused on maximising value
  • Actively participating in and leading code reviews, experiment design and tooling decisions to help drive the team's velocity and quality
Qualifications
Essential Qualifications
  • 3-5+ years in industry; fluency in Python with ability to design and write clean, modular, well-documented code and a solid understanding of coding best practices
  • Master's degree in Computer Science or a related field
  • Ability and desire to learn and apply new technologies
  • Ability to logically evolve an architecture from prototype to product, considering technical debt and delivery risk
  • Collaborative approach to problem solving - ability to effectively pair program
  • Effective technical communicator - both written and verbal; able to translate loose designs into documentation / process / operating model
  • Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization technologies (Docker)
  • Experience with enterprise software development lifecycle and tooling including continuous integration and delivery concepts/technologies
Desired Experience
  • Experience with machine learning workflows, cloud scale machine learning infrastructure (including LLMs)
  • Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
  • Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines
Personal Characteristics
  • A self-motivated individual who thrives on seeing the results of their work make an impact in the business
  • Strong communication skills, both verbally and in writing
  • Proven ability to be flexible, work hard, and a sense for the art of the possible
  • Methodical, organized and with an attention to detail - in general, in experimental design, and in code!
  • Willingness to share their knowledge and learn from others
  • An interest in learning about the commodities space
  • Resourceful, able to think creatively and adapt in a dynamic environment
  • Team player, with an open non-political style and a high level of 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
Additional Information
What we offer
  • Competitive salary and benefits package
  • Large diversity of projects with real-world impacts on a truly global scale
  • Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
  • Close collaboration with various business units across our key regions (eg. London, Singapore, Geneva)
  • A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit
  • Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry
  • Strong management commitment to incorporating machine learning into the future of Vitol's operations

This Role is located in Houston, TX - In office 5x a week

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