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Evening Machine Learning Engineer Biotech Jobs (NOW HIRING)

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 ...

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 ...

We unite precision breeding, advanced biotechnology trait choice, and digital platforms for ... Our Data Science and Engineering team in R&D Digital is seeking a motivated Machine Learning ...

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We unite precision breeding, advanced biotechnology trait choice, and digital platforms for ... Our Data Science and Engineering team in R&D Digital is seeking a motivated Machine Learning ...

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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 ...

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 ...

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 ...

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 ...

Machine Learning Engineer (Molecular Design) Location: Hybrid - Bay Area, CA We are seeking a Machine Learning Engineer with expertise in molecular design to support cutting-edge drug discovery ...

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Evening Machine Learning Engineer Biotech information

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$31.5K

$128.8K

$193.5K

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

As of Sep 4, 2026, the average yearly pay for evening 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 Evening Machine Learning Engineer Biotech vs Evening Data Scientist Biotech?

AspectEvening Machine Learning Engineer BiotechEvening Data Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentDeveloping ML models, coding, deploying algorithms in biotech settingsAnalyzing datasets, creating reports, interpreting data in biotech companies
Employer & Industry UsageBiotech firms, research labs, pharmaceutical companiesBiotech firms, research institutions, healthcare organizations

While both roles involve working with data in biotech, the Evening Machine Learning Engineer Biotech focuses on developing and deploying machine learning models, whereas the Evening Data Scientist Biotech emphasizes data analysis and interpretation. Both roles require strong technical skills and are integral to biotech innovation, but they differ in daily tasks and technical focus.

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

Cities with the most Evening 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 Evening Machine Learning Engineer Biotech jobs?

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

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.