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Remote Machine Learning Engineer Biotech Jobs in Forney, TX

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

New

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

New

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · Remote

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · On-site +1

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

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Showing results 21-40

All JobsMachine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech Jobs in Forney, TX

Remote Machine Learning Engineer Biotech information

See Forney, TX salary details

$28.4K

$116K

$174.3K

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

As of Aug 7, 2026, the average yearly pay for remote machine learning engineer biotech in Forney, TX is $116,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $139,600.00 per year, depending on experience, location, and employer.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer in biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
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Software Engineer - AI Specialist | Remote

GigWorld Talent Solutions

Dallas, TX • On-site, Remote

Full-time

Re-posted 26 days ago

Job description

Job Description Software Engineer - AI Specialist | Remote Permanent, Full-Time We are supporting an innovative technology firm dedicated to building AI-driven solutions that drive efficiency and transformation across industries. We are seeking a highly skilled Software Engineer specializing in Artificial Intelligence to develop, optimize, and deploy AI-powered applications. Responsibilities: Design, develop, and implement AI models and machine learning algorithms.

Collaborate with cross-functional teams to integrate AI solutions into existing platforms. Optimize AI models for performance, scalability, and efficiency. Research and apply the latest advancements in AI and deep learning.

Develop and maintain data pipelines and AI-driven analytics systems. Ensure AI models are robust, ethical, and aligned with best practices. Troubleshoot and improve AI-based applications as needed.

Stay updated on emerging AI trends and technologies. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI and machine learning development.

Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with natural language processing (NLP), computer vision, or predictive analytics

Knowledge of data science methodologies and model evaluation techniques. Experience with cloud platforms and AI services (AWS, Azure, GCP). Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications: Experience with reinforcement learning and generative AI models. Familiarity with AI ethics, bias mitigation, and explainability techniques. Contribution to open-source AI projects.

Understanding of big data technologies and distributed computing. Benefits: Competitive salary and performance-based incentives. Flexible work schedule and remote work opportunities.

Professional development and continuous learning resources. Opportunity to work with a passionate and innovative team in a fast-growing industry.

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