Machine Learning Engineer
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Engineer
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Conduct data analysis and preprocessing to ensure high-quality data for model training. * Optimize and fine-tune models for performance, accuracy, and scalability. * Deploy machine learning models ...
Conduct data analysis and preprocessing to ensure high-quality data for model training. * Optimize and fine-tune models for performance, accuracy, and scalability. * Deploy machine learning models ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Quick apply
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Design and implement Machine Learning algorithms and models into software solutions for our enterprise customers by using common machine learning frameworks, including establishing and training ...
Design and implement Machine Learning algorithms and models into software solutions for our enterprise customers by using common machine learning frameworks, including establishing and training ...
Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business ...
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
Arlington, VA · On-site
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
Arlington, VA · On-site
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 ...
Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML ... machine learning/statistical modeling data analysis tools and techniques * Current, active US ...
Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML ... machine learning/statistical modeling data analysis tools and techniques * Current, active US ...
Machine Learning Engineer
$102K - $144K/yr
Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... training deep computer vision ML algorithms, train the algorithms using the data, and validate data ...
Machine Learning Engineer
$102K - $144K/yr
Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... training deep computer vision ML algorithms, train the algorithms using the data, and validate data ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques - Current, active US ...
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques - Current, active US ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques - Current, active US ...
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques - Current, active US ...
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques - Current, active US ...
... training, creating reusable AI/ML artifacts, and working with team members to prototype new ... machine learning/statistical modeling data analysis tools and techniques - Current, active US ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Quick apply
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Trainer information
See Virginia salary details
$27.8K - $35.4K
7% of jobs
$35.4K - $43K
6% of jobs
$43K - $50.6K
6% of jobs
$56.6K is the 25th percentile. Wages below this are outliers.
$50.6K - $58.2K
6% of jobs
$58.2K - $65.8K
7% of jobs
$65.8K - $73.5K
5% of jobs
$73.5K - $81.1K
4% of jobs
$81.1K - $88.7K
2% of jobs
$88.7K - $96.3K
1% of jobs
$96.3K - $103.9K
3% of jobs
The median wage is $104K / yr.
$103.9K - $111.5K
51% of jobs
$27.8K
$86.6K
$111.5K
How much do machine learning trainer jobs pay per year?
As of Jun 18, 2026, the average yearly pay for machine learning trainer in Virginia is $86,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $110,000.00 per year, depending on experience, location, and employer.
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 key skills and qualifications needed to thrive in the Machine Learning Trainer position, and why are they important?
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 is a Machine Learning Trainer job?
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 popular job titles related to Machine Learning Trainer jobs in Virginia? For Machine Learning Trainer jobs in Virginia, the most frequently searched job titles are:
- Deep Learning Engineer
- Machine Learning Engineer Biotech
- Flexible Remote Machine Learning Engineer
- Machine Learning Engineer From Home
- Google Cloud Machine Learning Engineer
- Machine Learning Architect
- Remote Prototype Machinist
- Machine Learning Software Engineer
- Machine Learning Engineer
- Flexible Machine Learning Engineer Biotech
What job categories do people searching Machine Learning Trainer jobs in Virginia look for? The top searched job categories for Machine Learning Trainer jobs in Virginia are:
- Aws Machine Learning Engineer
- Llm Evaluation
- Freelance Machine Learning Compiler Engineer
- Seasonal Medical Imaging Machine Learning
- Director Google Machine Learning Engineer
- Machine Learning Ops Engineer
- Machine Learning Compiler Engineer
- Machine Learning Manager
- Principal Machine Learning Engineer
- Remote Google Machine Learning Engineer
Job description
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.
Responsibilities:
Qualifications:
Preferred Skills:
Position Clearance Requirement:
TS/SCI with Full-Scope Polygraph
This position is located in Chantilly/Herndon, VA.
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.
Responsibilities:
- Design, develop, and implement machine learning models and algorithms to solve specific business problems.
- Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
- Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
- Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
- Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
- Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
- Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
- Troubleshoot and resolve issues related to machine learning models and pipelines.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
- Contribute to the development of best practices and standards for machine learning development and deployment within the team.
- Document machine learning models, experiments, and deployment processes.
- Potentially work with large datasets and big data technologies.
- Optimize machine learning models for performance and efficiency.
Qualifications:
- Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
- Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
- Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
- Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures).
- Experience with data preprocessing, feature engineering, and data visualization techniques.
- Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
- Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
- Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
- Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences.
Preferred Skills:
- Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
- Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Experience with building and deploying RESTful APIs.
- Familiarity with big data technologies and distributed computing.
- Experience with statistical modeling and inference.
Position Clearance Requirement:
TS/SCI with Full-Scope Polygraph
This position is located in Chantilly/Herndon, VA.
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
About Dark Wolf Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Chantilly, VA, US
Year founded
2013