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Machine Learning Engineer Biotech Jobs in Dallas, TX

Omni Inclusive

Machine Learning

Dallas, TX

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

Cisco

Principal Machine Learning Engineer

Dallas, TX

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Autodesk

Machine Learning Engineering Manager

Plano, TX · On-site

MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field * 5+ years of experience in machine learning engineering or related field * 3+ years of experience as a manager

New

Performacentric

ML Engineer

Dallas, TX · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About Performacentric Performacentric helps small and ...

ClifyX

AI/ML Engineer

Dallas, TX

AI/Client Engineer Further requirements and responsibilities are as follows ... Design Enterprise Machine Learning platforms that are capable of running predictive models.

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

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Machine Learning Engineer Biotech information

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$31.2K

$127.4K

$191.4K

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 Dallas, TX is $127,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,300.00 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 are the most commonly searched types of Machine Learning Engineer Biotech jobs in Dallas, TX? The most popular types of Machine Learning Engineer Biotech jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Engineer Biotech jobs in Dallas, TX? For Machine Learning Engineer Biotech jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Dallas, TX look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Engineer Biotech jobs? Cities near Dallas, TX with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you
Forge AI/Machine Learning Engineer Senior - Dallas, Tx

Forge AI/Machine Learning Engineer Senior - Dallas, Tx

Lockheed Martin Corporation

Grand Prairie, TX

$99K - $137K/yr

Other

Posted 23 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 382 frontline employees who took The Breakroom Quiz

31st of 60 rated aerospace companies

Job description

You will be the A/AI Machine Learning Engineer Sr. for The Forge team. Our team delivers endtoend AI/ML solutions that transform raw data into actionable insights for LockheedMartin Missiles & Fire Control programs.


What You Will Be Doing


As the A/AI Machine Learning Engineer Sr you will be responsible for leading technical execution of highvisibility AI projects and delivering measurable value to customers.


Your responsibilities will include, but are not limited to:



  • Design, develop, and deploy AI/ML pipelines that address engineering, manufacturing, and businessoperations challenges (e.g., testpoint reduction, automated calibration, AIenhanced document search, computervision inspection).

  • Build and implement edgedeployed AI/ML solutions for classified, airgapped environments.

  • Lead crossfunctional solution teams using a consultingstyle project framework, coordinating engineering design, production, and business operations.

  • Partner directly with program customers to define valuedriven outcomes and deliver measurable results (cost, labor, yield, schedule).

  • Own the full DevOps lifecycle-CI/CD, containerization, model monitoring, and governance-for secure, highassurance AI in defense systems.


Why Join Us


We are looking for a collaborative, purposedriven professional who thrives on turning complex data into highimpact solutions that keep the warfighter safe and advance aerospace innovation. This role offers high visibility, direct influence on missioncritical programs, and a clear path for career growth within a worldclass aerospace organization.


We are committed to supporting your worklife balance and overall wellbeing, offering flexible 4day10hour schedules. Learn more about LockheedMartin's comprehensive benefits package here.


Further Information About This Opportunity


This position is in Dallas. Discover more about our Dallas, Texas location.


MUST BE A U.S. CITIZEN-This position is located at a facility that requiresspecial access. The selected candidate must be able to obtain a secretclearance. A companysponsored interim secret clearance is required to start.

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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