ZipRecruiter

Log In

1

Machine Learning Biomedical Engineer Jobs in Houston, TX

Judge Group, Inc.

W2 Machine Learning Engineer

Houston, TX · On-site

$150K - $220K/yr

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 ...

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

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 ...

PROS Holdings, Inc.

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/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 · On-site

$93.10K - $127.50K/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 ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154.20K/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 - $154.20K/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 - $154.20K/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

$116.90K - $154.20K/yr

They are seeking an experienced Machine Learning Engineer to join their data science and machine learning team, responsible for delivering machine learning models and applications across various ...

Varsity Tutors

Biomedical Engineering Tutor

Houston, TX · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ...

Varsity Tutors

Biomedical Engineering Tutor

Pearland, TX · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Houston, TX

Machine Learning Biomedical Engineer information

See Houston, TX salary details

$30.1K

$123K

$184.8K

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

As of May 29, 2026, the average yearly pay for machine learning biomedical engineer in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What are popular job titles related to Machine Learning Biomedical Engineer jobs in Houston, TX? For Machine Learning Biomedical Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Houston, TX look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Biomedical Engineer jobs? Cities near Houston, TX with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you
Infographic showing various Machine Learning Biomedical Engineer job openings in Houston, TX as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Temporary. Highlights an 93% Physical, and 7% Hybrid job distribution, with an average salary of $122,971 per year, or $59.1 per hour.
W2 Machine Learning Engineer

W2 Machine Learning Engineer

Judge Group, Inc.

Houston, TX • On-site

$150K - $220K/yr

Other

Posted 11 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