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Machine Learning Trainer Jobs in Washington (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Hands-on experience training, fine-tuning, or evaluating modern ML models. * Strong understanding ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Build and maintain ML pipelines for training, evaluation, and inference * Integrate machine learning models into real-time and batch processing systems * Optimize model performance for accuracy ...

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ... Build pipelines for training, evaluating, and deploying models. * Perform exploratory data analysis ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Jobtailor

Director of Machine Learning

Washington, DC · On-site

$180 - $260/hr

Comfortable designing training and inference pipelines * Understanding of full-stack software ... Machine Learning Engineering Leadership * Production Deployment Experience * Python Proficiency

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

Most of the machine learning work that reaches production is not modelling. It is knowing which ... Build reproducible training and fine-tuning pipelines against regulated data * Turn ambiguous ...

New

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

Most of the machine learning work that reaches production is not modelling. It is knowing which ... Build reproducible training and fine-tuning pipelines against regulated data * Turn ambiguous ...

New

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

Most of the machine learning work that reaches production is not modelling. It is knowing which ... Build reproducible training and fine-tuning pipelines against regulated data * Turn ambiguous ...

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All JobsMachine Learning Trainer JobsMachine Learning Trainer Jobs in Washington

Machine Learning Trainer information

See Washington salary details

$31.7K

$98.9K

$127.4K

How much do machine learning trainer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for machine learning trainer in Washington is $98,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $125,700.00 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.

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

The most popular types of Machine Learning Trainer jobs in Washington are:

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

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

What job categories do people searching Machine Learning Trainer jobs in Washington look for?

The top searched job categories for Machine Learning Trainer jobs in Washington are:

What cities in Washington are hiring for Machine Learning Trainer jobs?

Cities in Washington with the most Machine Learning Trainer job openings:

Machine Learning Trainer jobs near you
Infographic showing various Machine Learning Trainer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $98,903 per year, or $47.5 per hour.

Engineer, Machine Learning

Venture Global, Inc.

Arlington, VA • On-site

$157K - $185K/yr

Full-time

Posted 14 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Engineer, Machine Learning
Located:
Arlington
Summary
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. 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 will be done in Databricks and PySpark.
The ideal candidate will have excellent technical proficiency, excellent communication skills, a self-driven mindset, and the willingness to continuously learn new things.
This position will report to the Director of Business Intelligence and is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA and will require commuting to the office 5 days a week.
General Description Duties & Responsibilities
  • Work with business stakeholders to define project requirements.
  • Orchestrate, scale, setup and improve model serving pipelines.
  • Improve model accuracy through feature engineering, tuning, and observability.
  • Improve model computational performance through all aspects of the pipeline, including tuning clusters/job compute, partitioning, caching, feature engineering code, tuning setup, etc.
  • Integrate machine learning models into production environments, ensuring reliability and scalability.
  • Evaluate pretrained models and software from vendors and support integration into production environments.
  • Develop comprehensive project plans for implementing machine learning and AI projects including solution architectures, resourcing, and dependencies.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Work with data scientists, data engineers, and business analysts to translate business requirements into machine learning solutions.
  • Build software solutions that are maintainable, scalable and provide quantifiable business value.
  • Continuously focus on quality architecture, quality code, and ruthless management of technical debt.
  • Continuously push the practice forward, learning and testing newer and better ways of performing work.

Qualifications
Required experience
  • 5 years of machine learning engineering, software engineering, or data science experience.
  • Bachelors in a quantitative field of study.

Preferred Experience
  • Masters in a quantitative field of study.
  • Experience with the Azure, AWS, or other cloud ecosystems.
  • Experience in building secure data processing pipelines.
  • Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.
  • Experience working with streaming.
  • Expertise in building machine learning solutions using cloud data services.
  • Exceptional skills in data processing languages such as SQL, Python, or Scala.
  • Exceptional skills in feature engineering, model optimization, and parameter tuning.

Salary Range
$157,000-$185,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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