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Machine Learning Trainer Jobs (NOW HIRING)

Build and deploy machine learning models from end to end, including selecting algorithms, preparing data, training models, and evaluating performance. * Manage the full lifecycle of machine learning ...

Major responsibilities and tasks of the position: - Participate in the development and maintenance of end-to-end machine learning pipelines, including data ingestion, preprocessing, training ...

Engineer, Machine Learning

Arlington, VA ยท On-site

$157K - $185K/yr

This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work ...

Machine Learning Engineer

Chatsworth, CA ยท On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

## Machine Learning EngineerApplylocations: Grovetown, GAposted on: Posted Todayjob requisition id: JR ... Foundational understanding of neural networks, model training, and optimization* Experience with ...

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Machine Learning Engineer

Chicago, IL ยท On-site

$95K - $138K/yr

Design, implement, and automate large-scale model training, integration, and evaluation pipelines * Collaborate with machine learning, software engineering, product development, sales, and cross ...

Machine Learning Engineer

Chicago, IL ยท On-site

$95K - $138K/yr

Design, implement, and automate large-scale model training, integration, and evaluation pipelines * Collaborate with machine learning, software engineering, product development, sales, and cross ...

$95K - $138K/yr

Design, implement, and automate large-scale model training, integration, and evaluation pipelines * Collaborate with machine learning, software engineering, product development, sales, and cross ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Hands-on experience training and fine-tuning large language models (LLMs) and vision-language ...

We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...

Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business ...

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to ... Foundational understanding of neural networks, model training, and optimization * Experience with ...

We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...

Showing results 41-60

Machine Learning Trainer information

See salary details

$28K

$87.3K

$112.5K

How much do machine learning trainer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning trainer in the United States is $87,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What is a machine learning trainer?

A Machine Learning Trainer is responsible for preparing and curating datasets, fine-tuning machine learning models, and optimizing algorithms for accuracy and efficiency. They work closely with data scientists and engineers to improve model performance and ensure high-quality training data. This role involves tasks like labeling data, selecting features, and implementing preprocessing techniques. Additionally, they may develop training methodologies and evaluate models using various metrics to enhance their effectiveness.

What are the key skills and qualifications needed to thrive as a machine learning trainer?

To thrive as a Machine Learning Trainer, you need a solid background in computer science, statistics, and machine learning concepts, often supported by relevant academic degrees and industry experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and certifications like TensorFlow Developer or AWS Machine Learning are valuable assets. Excellent communication, patience, and adaptability allow trainers to effectively convey complex concepts to diverse learners. These skills ensure effective teaching, learner engagement, and successful knowledge transfer in a rapidly evolving technological landscape.

What are the typical challenges faced by a machine learning trainer in the workplace?

Machine Learning Trainers often encounter the challenge of explaining complex algorithms and abstract mathematical concepts to learners with varying levels of expertise. Adapting course materials to suit different learning styles and staying current with the latest advancements in machine learning require continuous self-development. Trainers may also need to collaborate closely with data scientists, engineers, and curriculum developers to ensure their training aligns with real-world applications. Overcoming these challenges not only enhances teaching effectiveness but also contributes to the overall growth of both trainers and their learners.

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What cities are hiring for Machine Learning Trainer jobs?

Cities with the most Machine Learning Trainer job openings:

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

The most popular types of Machine Learning Trainer jobs are:

What states have the most Machine Learning Trainer jobs?

States with the most job openings for Machine Learning Trainer jobs include:

What are popular job titles related to Machine Learning Trainer jobs?

For Machine Learning Trainer jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Trainer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $87,325 per year, or $42 per hour.

Machine Learning Engineer

Pleasanton, CA โ€ข On-site

Apex Systems
IT Servicesย โ€ขย 1 - 5K employees

Other

Medical, Dental, Vision, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job#: 3043683
Job Description:
Hey,
Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ML Engineer that has made and deployed models into an Azure ecosystem. Position is remote and pays anywhere from 40-55/hr. As always from ai assistant Riley will give you a call, but if you think this is the perfect spot for you please drop your resume to for a direct line to me. Position starts off as a 6 month contract
Machine Learning Engineer
Location: Pleasanton, California (Remote)
Role Overview
This role is focused on developing, deploying, and optimizing machine learning models for enterprise applications. The ideal candidate should have strong hands-on experience with machine learning algorithms, neural networks, NLP, Python/R/SQL, modern ML frameworks, Microsoft Azure, and DevOps/MLOps practices. This is not a data science research role; the candidate must be able to build models and support deployment and management in a production environment.
Key Responsibilities
  • Develop, deploy, and optimize machine learning models for various applications.
  • Build and deploy machine learning models from end to end, including selecting algorithms, preparing data, training models, and evaluating performance.
  • Manage the full lifecycle of machine learning models in a production setting.
  • Leverage MLOps concepts such as CI/CD for ML models, version control, monitoring, automation, and model retraining.
  • Utilize cloud platforms and technologies, specifically Microsoft Azure, for model deployment and management.
Required Qualifications
Candidates must have hands-on experience with the following:
  • Supervised and/or unsupervised machine learning algorithms
  • Neural networks and Natural Language Processing (NLP)
  • Programming languages: Python, R, and SQL
  • Machine learning frameworks such as TensorFlow, Keras, and/or PyTorch
  • Cloud platforms, specifically Microsoft Azure
  • DevOps and/or MLOps practices for model lifecycle management
Preferred Qualifications
  • Experience with Azure Machine Learning, Azure DevOps, Azure Databricks, or Azure Functions.
  • Proven experience building and supporting CI/CD pipelines for machine learning models.
  • Familiarity with containerization tools like Docker or Kubernetes.
  • Background in end-to-end model deployment in production environments.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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