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Machine Learning Engineer Biotech Jobs in Cary, NC

Are you looking to develop your Machine Learning Engineer career? Do you enjoy coaching others to achieve high standards? This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office ...

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products.

Machine Learning Engineer, Memory

Cary, NC ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time ... Experience creating machine learning algorithms for vision and/or language problems and deploying ...

Machine Learning Engineer, Memory

Cary, NC ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time ... Experience creating machine learning algorithms for vision and/or language problems and deploying ...

Applied Machine Learning Engineer

Benson, NC ยท On-site

$93K - $111K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan's operational and business data useful -- first at pilot scale, and then as the foundation for a 10,000 ton ...

Applied Machine Learning Engineer

Durham, NC ยท On-site

$110K - $132K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan's operational and business data useful -- first at pilot scale, and then as the foundation for a 10,000 ton ...

Showing results 21-40

Machine Learning Engineer Biotech information

See Cary, NC salary details

$29.2K

$119.3K

$179.3K

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

As of Aug 18, 2026, the average yearly pay for machine learning engineer biotech in Cary, NC is $119,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $143,600.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

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?

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 popular job titles related to Machine Learning Engineer Biotech jobs in Cary, NC?

For Machine Learning Engineer Biotech jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Biotech jobs in Cary, NC look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Cary, NC are:

What cities near Cary, NC are hiring for Machine Learning Engineer Biotech jobs?

Cities near Cary, NC with the most Machine Learning Engineer Biotech job openings:

Infographic showing various Machine Learning Engineer Biotech job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,293 per year, or $57.4 per hour.

Sr Machine Learning Engineer[Remote]

SmartIPlace

Raleigh, NC โ€ข On-site

$80/hr

Contractor

Re-posted 18 days ago


Job description

Title: Sr Machine Learning Engineer       

Duration: 6-12 Mos C2H (no sponsorship at conversion or future)           

Location: REMOTE EST (Raleigh hybrid preferred); EST/CST only, no MST/PST     

Rate: $80 /hr. on W2

Visa: USC, GC

Note:

Relocation to Raleigh hybrid considered above remote; Sr MLE to lead AI/ML and agentic systems architecture     

Top Requirement:

10+ yrs production ML at scale; LLM/GenAI/RAG deployment; Cloud (AWS/Azure/GCP); Kubernetes/containerization; Agentic systems & tool orchestration; MCP servers; Strong Python            

 

Preferred:

MLOps/CI/CD; Responsible AI; Multi-step reasoning agents; Low-latency inference platforms; Mentoring exp


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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