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Junior Ai Machine Learning Python Jobs in Bremerton, WA

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ... Proficiency in Python, SQL, XGBoost, Pytorch or Tensorflow to carry out production ready projects ...

Visa Hunt

Machine Learning Engineer

Bellevue, WA · On-site

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ... Proficiency in Python, SQL, XGBoost, Pytorch or Tensorflow to carry out production ready projects ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ... Proficiency in Python, SQL, XGBoost, Pytorch or Tensorflow to carry out production ready projects ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Provide mentorship to and help onboard junior ML engineers * Collaborate cross-functionally with ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Provide mentorship to and help onboard junior ML engineers * Collaborate cross-functionally with ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ... Proficiency in Python, SQL, XGBoost, Pytorch or Tensorflow to carry out production ready projects ...

Axon

Senior Machine Learning Scientist

Seattle, WA

$104K - $142K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ...

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Junior Ai Machine Learning Python information

See Bremerton, WA salary details

$49.9K

$101.4K

$152.3K

How much do junior ai machine learning python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for junior ai machine learning python in Bremerton, WA is $101,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $102,500.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Bremerton, WA?

For Junior Ai Machine Learning Python jobs in Bremerton, WA, the most frequently searched job titles are:

What job categories do people searching Junior Ai Machine Learning Python jobs in Bremerton, WA look for?

The top searched job categories for Junior Ai Machine Learning Python jobs in Bremerton, WA are:

What cities near Bremerton, WA are hiring for Junior Ai Machine Learning Python jobs?

Cities near Bremerton, WA with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Bremerton, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,428 per year, or $48.8 per hour.

AI/ML Technical Lead

Bellevue, WA • On-site

Globenet Consulting Corp
See more jobs at Globenet Consulting Corpexternal

Other

Re-posted 8 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development
Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let’s Create Our Future Together at The AES Group! Position Overview

We are seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. This role will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions. The ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models.

Key Responsibilities
  • Lead the design, development, training, testing, and deployment of AI and machine learning models.
  • Build scalable ML pipelines for data processing, model training, validation, and production deployment.
  • Work with structured and unstructured data, including text, images, documents, and large datasets.
  • Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications.
  • Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance.
  • Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions.
  • Research and apply modern AI/ML tools, techniques, architectures, and best practices.
  • Monitor deployed models and address model drift, bias, data quality, and performance issues.
  • Document model architecture, assumptions, limitations, metrics, and technical decisions.
  • Promote responsible AI practices related to security, privacy, fairness, governance, and compliance.
  • Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams.
Required Qualifications
  • Active Secret security clearance or higher.
  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field.
  • Three or more years of experience in AI, machine learning, data science, or software engineering.
  • Strong Python programming skills.
  • Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks.
  • Experience developing and deploying production machine learning models.
  • Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation.
  • Experience processing large datasets using modern data tools.
  • Familiarity with APIs, cloud platforms, and software development practices.
  • Ability to communicate complex technical concepts to technical and non-technical stakeholders.
Preferred Qualifications
  • Master’s degree or PhD in a related field.
  • Experience with Generative AI, LLMs, NLP, computer vision, or deep learning.
  • Experience with Ask Sage, Hugging Face, LangChain, OpenAI APIs, Azure AI, AWS SageMaker, or Google Vertex AI.
  • Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD pipelines.
  • Experience with SQL, Spark, Databricks, Snowflake, or cloud data warehouses.
  • Knowledge of AI governance, ethics, bias testing, security, and data privacy standards.
  • Experience deploying AI solutions in enterprise environments.
Technical Skills
  • Languages: Python, SQL, and R
  • ML Frameworks: PyTorch, TensorFlow, Scikit-learn, and XGBoost
  • Cloud Platforms: AWS, Microsoft Azure, or Google Cloud
  • MLOps: Docker, Kubernetes, MLflow, Airflow, and CI/CD
  • Data Tools: Pandas, NumPy, Spark, Snowflake, and Databricks
  • AI/LLM Tools: Ask Sage, Hugging Face, LangChain, OpenAI, and vector databases
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