ZipRecruiter

Log In

1

Machine Learning Engineer Biotech Jobs in Shepherd, TX

PROS Holdings, Inc.

Machine Learning Engineer II

Houston, TX · On-site

$93K - $127K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

PROS

Machine Learning Engineer II

Houston, TX

$93K - $127K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

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

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

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

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Deep Neural Networks (DNN): * Hands-on ...

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

next page

Showing results 1-20

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 Jun 13, 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
W2 Machine Learning Engineer

W2 Machine Learning Engineer

Judge Group, Inc.

Houston, TX

$150K - $220K/yr

Other

Posted 25 days ago

Job description

Location: Houston, TX
Salary: $150,000.00 USD Annually - $220,000.00 USD Annually
Description:
Machine Learning Engineer

W2- NO SPONSORSHIP AVAILABLE

Overview:
We are seeking a forward-thinking Machine Learning Engineer to evaluate and integrate emerging and start-up Artificial Intelligence (AI) and Machine Learning (ML) solutions that drive value.
This role blends deep technical expertise in AI and ML with a passion for experimentation, creativity, and solving complex problems in novel ways.
This position is part of the Mechatronics and Digital Labs Team responsible for providing thought leadership and execution of technology trials of emerging technologies to validate value and technical capability.
The function of this role is to partner with the business to identify disruptive and emerging technologies to achieve greater business value faster.
Our team is highly technical, creative, and innovative, and we are cross-functional and passionate about delivering creative solutions that drive significant business value.
We are looking for a Machine Learning Engineer with the ability to bring expertise, an innovative attitude, and excitement for solving complex problems with new technologies and approaches.
There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals, and Business experts to build and deliver innovative, value-driven AI solutions.
Responsibilities:
  • Partner with Digital Innovation teams to evaluate and test emerging AI and machine learning technologies
  • Explore and experiment with Generative AI (GenAI), NLP, and computer vision applications
  • Stay current with the latest AI advancements and integrate them into projects
  • Collaborate with data scientists, data engineers, and solution architects across business units and IT
  • Build and maintain robust data pipelines using platforms such as Databricks
  • Deploy models in production using Docker and cloud platforms (AWS, Azure)
  • Conduct machine learning experiments to validate hypotheses and improve performance
  • Identify and frame AI opportunities to improve workflows, decision-making, and automation
  • Define data, technologies, and architecture patterns to solve business challenges
  • Transform data science prototypes into scalable production solutions
  • Orchestrate infrastructure for low-latency, scalable, and resilient ML workloads
  • Run experiments and fine-tune algorithms for optimal performance
  • Participate in Agile teams to support cross-training and continuous improvement
  • Continuously learn new technologies and design patterns to improve AI solution delivery

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years of experience in software engineering
  • Strong Python development experience including data structures, OOP, and control flow
  • Experience with ML frameworks and libraries (MLflow, Kubeflow, TensorFlow, Keras, scikit-learn, PyTorch, NumPy, SciPy)
  • Experience with JavaScript frameworks (Angular, React, Node.js)
  • Experience building ML pipelines in Microsoft Azure Machine Learning
  • Experience developing cloud-first solutions using Azure services (Functions, App Services, Event Hubs, SQL DB, Synapse)
  • Strong understanding of design patterns and ability to communicate design ideas
  • Methodical, structured approach to building scalable software components
  • Working knowledge of linear algebra, probability, statistics, and algorithms
  • Experience with data engineering tools such as Databricks, Spark, and Azure Data Factory

Preferred Qualifications:
  • Master's degree in Computer Science, Mathematics, or related field
  • Strong background in statistics and time-series analysis
  • Experience orchestrating large-scale ML/DL workloads using Kubernetes or similar tools
  • Experience designing APIs for ML training and inference
  • Experience building and delivering MLOps frameworks
  • Experience with unstructured data, cognitive services, and computer vision solutions
  • Experience with model optimization and hyperparameter tuning
  • Hands-on experience with Azure ML SDK deployments
  • Strong Python debugging and OOP skills
  • Strong architectural design skills and framework development experience
  • Passion for high-quality software development practices
  • Knowledge of enterprise SaaS requirements (security, scalability, availability, CI/CD, etc.)
  • Strong understanding of software engineering best practices (version control, testing, architecture review)
  • Proven ability to lead cross-functional projects in Agile environments
  • Experience collaborating with data scientists to deploy advanced analytics solutions

Critical Selection Criteria:
  • Technical Capability: Strong software engineering background with ML frameworks, mathematical knowledge, and ability to quickly learn new technologies to deliver AI solutions
  • Business Engagement: Ability to partner with stakeholders to identify and implement machine learning solutions that drive business value
  • Domain Knowledge: Experience in upstream, midstream, or downstream environments with ability to build cross-functional partnerships and deliver scalable AI solutions
  • Communication: Strong verbal and written communication skills with the ability to clearly convey complex ideas and actively listen to stakeholders

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

Apply