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Contract Tensorflow Jobs in Washington, DC (NOW HIRING)

Contract * Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being ... Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. * Data Science ...

USC, GC, H1B and EAD Contract Type: W2 * Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as ...

Five (5) years experience in applied machine learning in programs and contracts of similar scope ... Pytorch, TensorFlow. Optional Skills: Expert knowledge of multiple programming languages, e.g.

Five (5) years experience in applied machine learning in programs and contracts of similar scope ... PyTorch, TensorFlow Required: * Select appropriate data sets * Perform statistical analysis * Run ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Belvoir, VA (On-site with Hybrid Option) Duration: Long Term Contract Clearance: DOD Top Secret ... Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras

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Showing results 1-20

Contract Tensorflow information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do contract tensorflow jobs pay per year?

As of Aug 10, 2026, the average yearly pay for contract tensorflow in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

Infographic showing various Contract Tensorflow job openings in Washington, DC as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Artificial Intelligence/Machine Learning Engineer 2 - (Python, PyTorch, TensorFlow)

Akina, Inc.

Annapolis Junction, MD

$207K - $253K/yr

Full-time

Retirement, PTO

Re-posted 12 days ago


Job description

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Clearance: TS/SCI - Polygraph required
Position ID: 25-8904-AIML2
Location: Annapolis Junction, Maryland

Description:

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.

The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements.

The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.

The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance.

The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.

  • Select appropriate data sets.
  • Perform statistical analysis.
  • Run machine learning algorithms.
  • Use results to improve models.
  • Train and retrain systems when needed.
  • Experience in working with various ML libraries and packages.
  • Run standard test and evaluation protocols.
  • Provide system integration oversight.
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI and ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Recognize software architecture, data modelling, and data structures.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality.
  • Identify differences in data distribution that affect model performance.

Position Required Skills:

  • Standard AIML2 labor category requirements.
  • Experience with standard machine language frameworks, e.g. PyTorch, TensorFlow.

AIML2 Qualifications:

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.

A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.

5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Salary Range: **$207k-$253k (Annually)

**The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

www.akina-inc.com/careers