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Mid Level Machine Learning Teaching Jobs in Washington

Mid-Level DevOps Engineer

Columbia, MD · On-site

$52 - $71/hr

Are you a Mid-Level DevOps Engineer who is ready for a new challenge that will launch your career ... Pure DevOps role performing network authentication, visualization, machine learning, some coding ...

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ...

Machine Learning Tutor

Bowie, MD · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ...

Machine Learning Tutor

Laurel, MD · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ...

Mid-Level DevOps Engineer

Columbia, MD · On-site

$52.25 - $71.75/hr

Are you a Mid-Level DevOps Engineer who is ready for a new challenge that will launch your career ... Pure DevOps role performing network authentication, visualization, machine learning, some coding ...

Sensors SME Mid

Fort Belvoir, VA · On-site

$103K - $131K/yr

A Mid-level SME shall be able to build upon the knowledge taught at the introductory GEOINT Tradecraft learning level (1000), in order to effectively handle fundamental (2000) GEOINT Tradecraft ...

Foundations SME Mid

Fort Belvoir, VA · On-site

$102K - $130K/yr

A Mid-level Foundations SME shall be able to build upon the knowledge taught at the introductory GEOINT Tradecraft learning level (1000), in order to effectively handle fundamental (2000) GEOINT ...

... teacher. You know how to break down complex ML concepts for a specific audience and make it click ... We're committed to equitable pay and will share a range aligned to your level and geography during ...

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Artificial ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Artificial ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Artificial ...

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Showing results 1-20

Mid Level Machine Learning Teaching information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.

Which 3 jobs will survive AI?

Mid Level Machine Learning Teaching roles are likely to persist as they require specialized knowledge, human interaction, and the ability to adapt to new AI tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and technical trainers, are also expected to remain in demand despite AI advancements.

Will MLE be replaced by AI?

Mid Level Machine Learning Engineers (MLEs) focus on developing, deploying, and maintaining machine learning models, which requires a combination of programming, data analysis, and domain knowledge. While AI automation tools can assist with certain tasks, MLEs are essential for designing complex models, troubleshooting, and ensuring ethical and effective implementation, making complete replacement unlikely in the near term.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

Can I learn ML in 3 months?

For a mid-level machine learning teaching role, gaining foundational knowledge in machine learning typically requires several months of dedicated study, including understanding algorithms, programming in Python, and working with tools like scikit-learn or TensorFlow. While intensive learning over three months can build basic skills, achieving proficiency suitable for teaching or advanced roles usually takes longer and involves practical experience and project work.
What are the most commonly searched types of Machine Learning Teaching jobs in Washington? The most popular types of Machine Learning Teaching jobs in Washington are:
What are popular job titles related to Mid Level Machine Learning Teaching jobs in Washington? For Mid Level Machine Learning Teaching jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Mid Level Machine Learning Teaching jobs in Washington look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in Washington are:
What cities in Washington are hiring for Mid Level Machine Learning Teaching jobs? Cities in Washington with the most Mid Level Machine Learning Teaching job openings:
Infographic showing various Mid Level Machine Learning Teaching job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Mid-Level DevOps Engineer

Mid-Level DevOps Engineer

GliaCell Technologies

Columbia, MD • On-site

$52 - $71/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.***


Are you a Mid-Level DevOps Engineer who is ready for a new challenge that will launch your career to the next level?

  • Tired of being treated like a company drone?
  • Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?
  • Our engineers were certainly tired of the same.  

At GliaCell our slogan is “We make It happen”.

  • We will immerse you in the latest technologies.
  • We will develop and support your own personalized training program to continue your individual growth. 
  • We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. 

Culture isn’t something you need to talk about…if it just exists. 

If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you.

We Make It Happen!

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.

GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.

We Offer:

  • Long term job security
  • Competitive salaries & bonus opportunities
  • Challenging work you are passionate about
  • Ability to work with some amazingly talented people

Job Description:

GliaCell is seeking a Mid-Level DevOps Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.

Key Responsibilities:

  • Pure DevOps role performing network authentication, visualization, machine learning, some coding and more
  • Support the development life cycle of platform architectural design, deployment and debugging
  • Building a release pipeline to enable fast, but safe delivery of critical business software to Production
  • Develop & Maintain sound version control best practices-based CM systems (GIT), including branching and merging strategies
  • Serve as a technical lead for an Agile team and actively participate in all Agile ceremonies. Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives.
  • Ability to automate release deployments across development, test, stag in g, Quality Assurance and production stacks using a combination of scripting languages and other automation toolkit
  • Set-up up new sites and applications via configuration management such as Puppet and Ansible
  • Maintain / upgrade/ patch tracking and documentation software (Confluence / Jira)
  • Create, Assist, and Implement design and maintenance web service infrastructure and deployments
  • Analyze service stack and make recommendations for further improvements
  • Identify processes and capabilities that can be streamlined and automated
  • Communicate effectively to help bridge stakeholder and development requirements
  • Assist with support and operations where necessary
  • Maintain confidentiality with regard to information being processed, stored, or accessed
  • Leverage programming Languages such as Python, Ruby, Perl, and Java
  • Proficient with DevOps or Site Reliability Engineering methodologies.
  • Proficient automating network infrastructure configuration using Software Defined Networking
  • Ability to have a holistic view of service development and deployment architecture
  • Understanding of SLA requirements and role of high availability architectures, performance optimization, and monitoring techniques
  • Act in the capacity to support deployment and operations when necessary
  • Set up and configure a continuous integration environment by leveraging Configuration Management, containerization, serverless technologies, and Kubernetes.
  • Architect and develop best  practices  for software build tools (Gradle, Maven, ANT, Shell) and continuous integration tools (Jenkins, Bamboo), and infrastructure automation (Amazon Web Services, VMWare, Puppet, Chef, ansible, etc.)
  • Experience working cross functionally across multiple teams

Key Requirements:

To be considered for this position you must have the following:

  • Possess an active or rein-statable TS/SCI with Polygraph security clearance.
  • U.S. Citizenship.
  • Bachelor's degree in a related technical discipline from an accredited college or university is required.
  • 10+ years of related experience.
  • Works well independently as well as on a team. 
  • Strong communication skills. 

Key Skills:

  • Must be fluent with Git
  • Strong knowledge of Linux and Linux environments (RHEL 617/8, RHCSNRHCE CentOS)
  • Experience with Windows system administration, system monitoring, instrumentation, resiliency and performance.
  • Experience integrating Jenkins/Bamboo Docker, and Kubernetes for automated deployment preferred
  • Experience with caching technologies (Memcache, Active MQ, Redis, APC, etc.)
  • Experience with MySQL (Clusters, Replication, and Tuning) and Elasticsearch (Kibana a plus). Knowledge of security practices, networking protocols, firewalls, PCI compliance etc.
  • 10+ years of system architecture required with a demonstrated ability to read the code and understand the coding logic to assist in troubleshooting
  • 10+ years' experience managing/monitoring AWS cloud and virtualized servers for optimal performance while working in a Platform as a Service (PaaS) environment
  • Familiarity with software development life cycle models, agile, and DevOps programming methodologies.
  • Fluent skills in object oriented programming and experience in at least one programming language such as Ruby, C, C++, GO, Python, or Java.
  • Experience acquiring in-depth understanding of large complex software systems to isolate defects, reproduce defects, assess risk, and understand varied customer deployments.
  • Ability to successfully work with customers, developers, testing, project management, and support staff
  • Excellent problem solving, analytical skills and technical troubleshooting skills
  • Clarity and precision in verbal and written communicationsContainer Orchestration implementation such as Docker, Kubernetes, OpenShift, etc.

Location: Columbia, MD

Salary Range: The salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. 

Benefits:

  • Medical, Dental, and Vision Coverage for Employee and Dependents 
  • Up to 25 Days of Paid Time Off
  • Up to 40 hours of PTO Carryover
  • 11 Federal Government Holidays
  • Work From Home Opportunities
  • 401K Company Contribution, Fully Vested Day 1
  • Discretionary, Certification, and Sign-On Bonus Potential 
  • Employee Referral Bonus Program 
  • Annual Professional Development 
  • 100% Premium Covered for Life & Disability Insurances
  • Additional Voluntary Life Insurance Coverage Available 
  • Employee Assistance Program
  • Travel Protection Program
  • Financial Planning Assistance 
  • Bereavement and Jury Duty Leave
  • Monthly Team and Family Events
  • Technology Budget
  • Global Entry
  • Annual Swag Budget

Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/

To apply for this position, respond to this job posting and attach an updated resume for us to review. 

GliaCell Technologies, LLC 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, age, protected veteran status, or disability status.

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