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Machine Learning Engineer Biotech Jobs in Sacramento, CA

DS Technologies, LLC

Solution Architect

Sacramento, CA · On-site

$62/hr

Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure ... Work closely with AI engineering, data science, and security teams to optimize Azure cloud ...

Accenture

Reinvention Deployed Engineer

Sacramento, CA · On-site

$94K - $316K/yr

... AI), machine learning (ML), and advanced data analytics to design, build, and deploy custom cloud ... Minimum8yrs experience in Software Engineering, Electrical Engineering, IT, or equivalent (Ifan ...

Pwc

GenAI Python Systems Engineer-Manager

Sacramento, CA · On-site

$99K - $232K/yr

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...

Micron

SoC Physical Verification Engineer, HBM

Folsom, CA · On-site

$97K - $205K/yr

As a Physical Verification Engineer, you will be a key technical contributor within the ... Drive adoption of machine learning (ML) and artificial intelligence (AI)based physical verification ...

Careers at Teichert

Applied AI Engineer

Sacramento, CA · On-site

The Applied AI Engineer evaluates large language models, agent design patterns, and traditional machine learning approaches, choosing the right tool for each problem and leads governance of AI agents ...

Teichert

Applied AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

The Applied AI Engineer evaluates large language models, agent design patterns, and traditional machine learning approaches, choosing the right tool for each problem and leads governance of AI agents ...

Deloitte

Sr Databricks Data Engineer

Sacramento, CA

$122K - $146K/yr

... machine learning solutions The wage range for this role takes into account the wide range of ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Careers at Teichert

Data Scientist

Sacramento, CA · On-site

... Engineering, or a related quantitative field. Experience and Industry Expertise: * Minimum 5 years of hands-on experience building and deploying predictive models and machine learning solutions.

Teichert

Data Scientist

Sacramento, CA · On-site

... Engineering, or a related quantitative field. Experience and Industry Expertise: * Minimum 5 years of hands-on experience building and deploying predictive models and machine learning solutions.

Voyager Technologies

Systems Engineer III - ISR

Folsom, CA · Hybrid

$113K - $196K/yr

The Systems Engineer III - ISR is an integral member of our Engineering team that develops cutting ... Understanding of and experience with SIGINT direction-finding systems and with machine learning in ...

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Showing results 41-60

All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Sacramento, CA

Machine Learning Engineer Biotech information

See Sacramento, CA salary details

$33.6K

$137.3K

$206.3K

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

As of Sep 1, 2026, the average yearly pay for machine learning engineer biotech in Sacramento, CA is $137,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $165,300.00 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 Sacramento, CA?

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

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

The top searched job categories for Machine Learning Engineer Biotech jobs in Sacramento, CA are:

What cities near Sacramento, CA are hiring for Machine Learning Engineer Biotech jobs?

Cities near Sacramento, CA with the most Machine Learning Engineer Biotech job openings:

Machine Learning Engineer Biotech jobs near you
Infographic showing various Machine Learning Engineer Biotech job openings in Sacramento, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.

Solution Architect

DS Technologies, LLC

Sacramento, CA • On-site

$62/hr

Full-time

Re-posted 29 days ago

Job description

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.
 
DS Technologies Inc is looking for Solution Architect role for one of our premier clients.

Job Title: Solution Architect
Location: San Francisco, CA/Sacramento, CA/Plano, TX (Onsite)
Position Type: Contract
Duration: 6 Months
USC/GC Only

Position Overview:
Looking for a seasoned Azure .NET Architect to lead the design and implementation of scalable, secure, and AI-integrated solutions on the Microsoft Azure platform. This role demands a deep understanding of cloud-native architectures, AI/ML technologies, and enterprise-grade .NET development.
Key Responsibilities:

  • Architecture Design: Lead the design of hybrid and multi-cloud environments, integrating AI workloads with Azure services.
  • AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services.
  • Cloud Infrastructure: Oversee cloud infrastructure modernization, leveraging Azure Kubernetes Service (AKS), Azure Functions, and microservices.
  • Security & Compliance: Implement and enforce Azure security best practices, identity management, and role-based access controls (RBAC).
  • DevOps & CI/CD: Architect and manage CI/CD pipelines for AI and enterprise applications using Azure DevOps and GitHub Actions.
  • Collaboration: Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions.
  • Experience: 12–15 years in designing, developing, and supporting enterprise-grade SaaS products using the Microsoft stack on Azure.

Technical Skills:

  • Proficiency in C#, ASP.NET, JavaScript, MVC, and client-side scripting (JavaScript, JQuery, Kendo).
  • Hands-on experience with Azure services including AKS, Azure Functions, Logic Apps, and Azure Machine Learning.
  • Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET.
  • Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent.
  • Soft Skills: Strong communication skills to present ideas and solutions, with analytical abilities to troubleshoot issues.

Preferred Qualifications:

  • AI/ML Experience: Exposure to Generative AI technologies and experience in customizing LLM models.
  • Frontend Development: Experience with modern JavaScript frameworks like React
  • Additional Certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications. Azure Solutions Architect

Compensation: $62.00 per hour

We are an equal opportunity employer and all qualified applicants will receive
consideration for employment without regard to race, color, religion, sex,
national origin, disability status, protected veteran status, or any other
characteristic protected by law.

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