Pay
Lower than most similar jobs
$99K–$206K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Arlington, VA
Open 3 months, first seen by us 117 days agoSalary & Benefits The salary associated with this position ($99,000-$206,000) is commensurate with the selected candidate’s qualifications, years of relevant experience, and demonstrated level of expertise. Compensation will be determined based on these factors to ensure alignment with skills, responsibilities, and market standards. Nightwing offers medical, vision and dental insurance coverage in addition to a 401k plan, PTO, Holidays, and additional insurances. Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build automated data pipelines for machine learning integration
Create automation workflows for malware sample collection, detonation, and taxonomy
Implement AI/LLM integrations with Databricks and other cloud services
Support Automated Malware Analysis (AMA) platform development and enhancement
Move pilot automation into production, including data integration between them
Develop automated data pipelines for machine learning technology integration initiatives
Create automation workflows for malware sample collection, detonation, and taxonomy
Implement AI/LLM integrations with Databricks and other cloud services
Support Automated Malware Analysis (AMA) platform development and enhancement
Implement data integration automation between pilot and production systems
Strong programming skills in Python, with experience in data manipulation libraries
Experience with AI/LLM configuration, tuning, and integration
Experience with data ingestion pipeline design on AWS
Experience with malware analysis automation or cybersecurity tools
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of AI/ML pipelines and data preparation
Knowledge of streaming data platforms (Kafka, Kinesis)
Required Education: BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience Desired Certifications: - DoD 8140 IAT Level III
Open 3 monthsWe first saw this posting 117 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$99K–$206K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Day 117
Up longer than most. Similar jobs usually come down between day 8 and day 75.
Well past Nwis’s usual: its jobs come down by about day 42.
From 5,188 similar postings that came down, and 12 of Nwis’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience with Machine Learning (ML) pipelines - Strong programming skills in Python, with experience in data manipulation libraries - Experience Amazon Bedrock (model access, endpoints, API Integration)
- 5+ years of experience in automation engineering, data engineering, or software development - Experience with data ingestion pipeline design on AWS - Experience with AI/LLM configuration, tuning, and integration
- Create automation workflows for malware sample collection, detonation, and taxonomy - Implement AI/LLM integrations with Databricks and other cloud services - Implement data integration automation between pilot and production systems
- Knowledge of AI/ML pipelines and data preparation - Experience with Databricks and Databricks AI - Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation - Experience with containerization and orchestration (Docker, Kubernetes) - Knowledge of streaming data platforms (Kafka, Kinesis)
- Knowledge of streaming data platforms (Kafka, Kinesis) - Familiarity with big data technologies (Spark, Hadoop) - Experience supporting federal cybersecurity programs
- Experience with containerization and orchestration (Docker, Kubernetes) - Knowledge of streaming data platforms (Kafka, Kinesis) - Familiarity with big data technologies (Spark, Hadoop)
- Experience with Databricks and Databricks AI - Experience with workflow orchestration tools (Airflow, Prefect) - Background in cybersecurity or threat intelligence automation
Complete your application on nwis.wd12.myworkdayjobs.com. The employer’s form will show what is required.
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New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.
Nightwing is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services. Nightwing is seeking a AI/ML Engineer to support this critical customer mission.
The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.
Responsibilities:
- Develop automated data pipelines for machine learning technology integration initiatives
- Create automation workflows for malware sample collection, detonation, and taxonomy
- Implement AI/LLM integrations with Databricks and other cloud services
- Implement data integration automation between pilot and production systems
- Support Automated Malware Analysis (AMA) platform development and enhancement
- Develop scripts and tools to automate repetitive technical tasks
- Create data transformation and normalization automation
- Support AI/ML data preparation and feature engineering automation
- Develop monitoring and alerting automation for integrated systems
- Implement API integrations for data sharing and workflow automation
- Document automation solutions and maintain code repositories
- Support scaling automation from pilot to production environments
- Optimize automation performance and efficiency
- Collaborate with analysts to identify automation opportunities
- Ensure automation solutions maintain data quality and integrity
- Support continuous improvement of automated capabilities
Required Skills:
- U.S. Citizenship
- Active Secret clearance; TS/SCI preferred
- Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
- 5+ years of experience in automation engineering, data engineering, or software development
- Experience with data ingestion pipeline design on AWS
- Experience with AI/LLM configuration, tuning, and integration
- Experience with Machine Learning (ML) pipelines
- Strong programming skills in Python, with experience in data manipulation libraries
- Experience Amazon Bedrock (model access, endpoints, API Integration)
- Knowledge of automation frameworks and orchestration tools
- Experience with APIs and integration technologies
- Understanding of database systems and data modeling
- Familiarity with version control (Git) and CI/CD practices
- Strong problem-solving and analytical skills
- Ability to translate business requirements into automated solutions
- Strong analytical and problem-solving skills
- Excellent documentation and communication abilities
Desired Skills:
- Experience with malware analysis automation or cybersecurity tools
- Knowledge of AI/ML pipelines and data preparation
- Experience with Databricks and Databricks AI
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark, Hadoop)
- Experience supporting federal cybersecurity programs
Required Education:
BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience
Desired Certifications:
- DoD 8140 IAT Level III
- CSSLP
Syndeo: ESS-3610
Salary & Benefits
Nightwing offers medical, vision and dental insurance coverage in addition to a 401k plan, PTO, Holidays, and additional insurances.
Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary & Benefits The salary associated with this position ($99,000-$206,000) is commensurate with the selected candidate’s qualifications, years of relevant experience, and demonstrated level of expertise. Compensation will be determined based on these factors to ensure alignment with skills, responsibilities, and market standards. Nightwing offers medical, vision and dental insurance coverage in addition to a 401k plan, PTO, Holidays, and additional insurances. Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Arlington, VA
Working pattern and location restrictions need checking in the full posting.
Required Skills: - U.S. Citizenship - Active Secret clearance; TS/SCI preferred