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Junior Ml Engineer Jobs (NOW HIRING)

Capital Technology Group

Lead AI/ML Engineer

$104K - $138K/yr

The Lead AI/ML Engineer will lead a team in evaluating new technologies, provide technical ... junior IT specialists Qualifications : Required : • Bachelors Degree • 7-10 years of relevant ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Share AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the ... Mentor junior engineers and contribute to best practices, coding standards, and technical ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Highlands Ranch, CO · On-site

$102K - $141K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the design ... Mentor junior engineers and contribute to best practices, coding standards, and technical ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Hagerstown, MD · On-site

$103K - $142K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Longmont, CO

$103K - $141K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the design ... Mentor junior engineers and contribute to best practices, coding standards, and technical ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$180 - $260/hr

Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. * Collaborate closely with H2O.ai product and engineering teams to surface ...

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Junior Ml Engineer information

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$33.5K

$71.8K

$109.5K

How much do junior ml engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for junior ml engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by junior ML engineers in their first year on the job?

Junior ML Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world applications, understanding complex data pipelines, and managing large datasets. They may also need to quickly learn company-specific tools and frameworks, as well as adapt to working in cross-functional teams with data scientists, software engineers, and product managers. Seeking mentorship, asking questions, and actively participating in team meetings can help overcome these hurdles and accelerate professional growth.

What are the key skills and qualifications needed to thrive as a junior ML engineer, and why are they important?

To thrive as a Junior ML Engineer, you need a strong foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by a degree in computer science or a related field. Familiarity with ML libraries such as TensorFlow or PyTorch, experience with version control systems like Git, and certifications from platforms like Coursera or AWS can be advantageous. Strong problem-solving skills, curiosity, and effective communication help you collaborate with teams and learn quickly. These skills and qualities are essential to efficiently build, test, and deploy machine learning models that drive business value.

What is the difference between Junior ML Engineer vs Data Scientist?

AspectJunior ML EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skills
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, modeling, interpreting data, creating reports
Employer & Industry UsageTech companies, startups, AI-focused firms

While both roles involve working with data and machine learning, a Junior ML Engineer primarily focuses on building and deploying ML models, often with coding and engineering tasks. A Data Scientist emphasizes data analysis, statistical modeling, and deriving insights. The roles overlap in skills and tools but differ in their core responsibilities and focus areas.

What is a junior ML engineer?

Junior ML Engineers are entry-level professionals who assist in designing, building, and deploying machine learning models under the supervision of more experienced engineers or data scientists. They typically work on data preprocessing, implementing algorithms, and supporting the maintenance and improvement of ML systems. Junior ML Engineers are expected to have foundational knowledge in programming, mathematics, and machine learning concepts, and they often gain hands-on experience by working on real-world projects as part of a team.
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Junior Ml Engineer jobs near you
Infographic showing various Junior Ml Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

AI/ML Engineer with Security Clearance

karan.kapadia@ivertix.com

Arlington, VA • On-site

Other

Re-posted 18 days ago

Job description

IVERTIX is hiring AI/ML Engineers for our client DOD . Kindly go through below JD and revert back with an updated resume. AI/ML Engineer Location: DC/MD/VA Preferred | Hybrid/Remote considered
Prime: Accenture Federal Services (AFS)
Clearance: U.S. Citizenship required; active Secret/TS/SCI preferred; ability to obtain and maintain clearance
Level: Junior / Journeyman / Senior Role Summary Design, build, and operate AI/ML solutions on the Advana data and analytics platform, including traditional ML and Generative AI/LLM capabilities. Work closely with data engineers, software engineers, and mission stakeholders to turn data into deployed, monitored models that support DoD decision-making. Core Responsibilities Develop, train, and evaluate ML models (classification, regression, clustering, NLP, time series).
Build MLOps pipelines for data prep, training, deployment, and monitoring on cloud infrastructure.
Integrate models into production services and user-facing applications (APIs, microservices, dashboards).
Implement and tune Generative AI/LLM solutions (e.g., RAG, prompt engineering, fine-tuning) using enterprise and mission data.
Collaborate with data engineers to define features, data quality checks, and scalable data pipelines.
Monitor model performance and drift; design retraining strategies and A/B tests.
Document models, assumptions, and limitations; support DoD Responsible/Ethical AI requirements.
Required Skills & Experience Strong Python development (pandas, NumPy, scikit-learn; plus TensorFlow and/or PyTorch).
Hands-on experience building and deploying ML models end-to-end (from data exploration to production).
Practical experience with MLOps tools and patterns (e.g., MLflow, SageMaker, Kubeflow, or similar).
Solid understanding of statistics, ML fundamentals, and evaluation metrics.
Experience working with cloud services (preferably AWS: S3, Lambda, ECR, ECS/EKS, SageMaker or equivalents).
Proficient with SQL and working with large structured/unstructured datasets.
Ability to work with cross-functional teams (data, software, product, mission).
Preferred Qualifications Experience with LLMs / Generative AI, RAG architectures, and vector databases.
Experience on large-scale data platforms (Databricks, Spark) and event/stream processing.
Experience in DoD, Federal, or other highly regulated environments (security, compliance, RMF awareness).
Familiarity with CI/CD, containerization (Docker), and Kubernetes for model deployment.
Relevant certifications (e.g., AWS Machine Learning Specialty, Databricks, or similar).

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