ZipRecruiter

Log In

1

Flexible Machine Learning Engineer Biotech Jobs (NOW HIRING)

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ... a biotech or pharma setting Skills & Competencies * A demonstrated track record of innovation in ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

... and flexible engagement. Responsibilities * Evaluate complex analytical and machine learning ... Data Engineering experience, including building and maintaining data pipelines and analytical ...

Syngenta

Machine Learning Engineer

NC · Remote

We unite precision breeding, advanced biotechnology trait choice, and digital platforms for ... Offers flexible work options to support your work and personal needs. * Full Benefit Package ...

New

Syngenta Seeds

Machine Learning Engineer

NC · Remote

We unite precision breeding, advanced biotechnology trait choice, and digital platforms for ... Offers flexible work options to support your work and personal needs. * Full Benefit Package ...

New

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Generous PTO and flexible hybrid work model * 401(k) with employer contribution * Professional ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Generous PTO and flexible hybrid work model * 401(k) with employer contribution * Professional ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

next page

Showing results 1-20

All Jobsremote JobsTechnology JobsData JobsData Scientist JobsFlexible Machine Learning Engineer Biotech Jobs

Flexible Machine Learning Engineer Biotech information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Sep 4, 2026, the average yearly pay for flexible machine learning engineer biotech in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectFlexible Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis
Work EnvironmentDevelops and deploys ML models in biotech R&D and production settingsAnalyzes biological data to extract insights, often in research labs or biotech companies
Employer & Industry UsageUsed by biotech firms focusing on AI-driven drug discovery and diagnosticsCommon in biotech research, clinical data analysis, and bioinformatics

The main difference is that a Flexible Machine Learning Engineer Biotech primarily develops and implements machine learning models tailored for biotech applications, while a Data Scientist Biotech focuses on analyzing biological data to generate insights. Both roles require strong technical skills, but the engineer emphasizes model deployment and integration, whereas the scientist emphasizes data interpretation and statistical analysis.

More about Flexible Machine Learning Engineer Biotech jobs

What cities are hiring for Flexible Machine Learning Engineer Biotech jobs?

Cities with the most Flexible Machine Learning Engineer Biotech job openings:

What are the most commonly searched types of Machine Learning Engineer Biotech jobs?

The most popular types of Machine Learning Engineer Biotech jobs are:

What states have the most Flexible Machine Learning Engineer Biotech jobs?

States with the most job openings for Flexible Machine Learning Engineer Biotech jobs include:

What job categories do people searching Flexible Machine Learning Engineer Biotech jobs look for?

The top searched job categories for Flexible Machine Learning Engineer Biotech jobs are:

Flexible Machine Learning Engineer Biotech jobs near you
Infographic showing various Flexible Machine Learning Engineer Biotech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

3B Staffing LLC

Greenville, RI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Machine Learning Engineer

Location: Smithfield, RI

Duration: 12+ months

USC and GC

MLOps, model training & deployment, feature engineering, Python/Java, GenAI (LLMs, LangChain, RAG, prompt engineering, fine-tuning), FastAPI/Flask, and AWS (SageMaker, EC2, EKS, Snowflake/RDS).

This is part MLOPs, part Machine Learning Engineer.

MUST HAVE: MLOps, Model deployment, Model training, and Feature Engineering, python coding experience, Lang, AWS.

Machine Learning Engineer

The Role
The Workplace Investing AI (Artificial Intelligence) Delivery Engineering Chapter team is seeking a Machine Learning Engineer to design, implement and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting and API (Application Programming Interface) development. We are looking for an outspoken technologist with a deep passion for data and application design to help build AWS (Amazon Web Services) based AI solutions. This role needs hands-on work developing APIs and integrate with ML models, partnering with our data scientists.

The Expertise and Skills You Bring

  • Solid 5+ years hands on development as Machine Learning Engineer.
  • Strong programming skills in Python and Java.
  • Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering and Fine tuning.
  • Solid experience with developing python-based APIs needed (FastAPI / Flask).
  • Design and develop machine learning and deep learning systems using ML (Machine Learning) algorithms / frameworks.
  • Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.
  • Work with data to create models and perform statistical analysis, train and retrain models to optimize performance.
  • Run machine learning tests and experiments.
  • Bachelor's Degree or equivalent experience.

Apply