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Machine Learning Engineer Biotech Jobs in Shepherd, TX

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

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 ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

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 ...

Hp

AI/ML Platform Engineer

Spring, TX · On-site

$147K - $230K/yr

Preferred Certifications AWS Certified Machine Learning Specialty Knowledge & Skills Agile ... Programming Language) Machine Learning Microsoft Azure Natural Language Processing Python ...

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$124K - $132K/yr

... engineering, business intelligence, and business stakeholders to design and deliver AI-driven ... Duties include designing and developing machine learning models and AI capabilities, integrating ...

circa

AI Engineer III

Houston, TX

... engineering, business intelligence, and business stakeholders to design and deliver AI-driven ... Duties include designing and developing machine learning models and AI capabilities, integrating ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in Houston, TX. ...

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

Oxy

AI ML Operations Engineer

Houston, TX

$66K - $89K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in Houston, TX. ...

DPR Construction

MLOps Engineer

Houston, TX

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Pwc

CTIO AI Engineering Manager

Houston, TX

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning ...

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning ...

Deloitte

Agentic AI, AI & Data Manager

Houston, TX · On-site

Professional Machine Learning Engineer, Professional Cloud Architect * Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture * Experience with ...

Hp

Principal AI Data Scientist

Spring, TX · On-site

$147K - $230K/yr

Principal AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Shepherd, TX

Machine Learning Engineer Biotech information

See Shepherd, TX salary details

$27.7K

$113.3K

$170.3K

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

As of Jul 26, 2026, the average yearly pay for machine learning engineer biotech in Shepherd, TX is $113,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $136,400.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

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

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

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

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What cities near Shepherd, TX are hiring for Machine Learning Engineer Biotech jobs? Cities near Shepherd, TX with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you

Software Engineer in Data Science

Vitol

Houston, TX • On-site

$109K - $131K/yr

Full-time

Posted 27 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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