Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... MLOps practices (CI/CD, monitoring, model governance) Experience working in air-gapped or high ...
Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... MLOps practices (CI/CD, monitoring, model governance) Experience working in air-gapped or high ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
Quick apply
Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
$104K - $143K/yr
Evaluate and integrate emerging MLOps, distributed training, and edge inference technologies to ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...
Senior Machine Learning Engineer
OR · On-site +1
$140K - $190K/yr
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy ... machine learning fundamentals (model selection, training, evaluation, feature engineering) and ...
Senior Machine Learning Engineer
OR · On-site +1
$140K - $190K/yr
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy ... machine learning fundamentals (model selection, training, evaluation, feature engineering) and ...
Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security ...
Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security ...
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
Machine Learning Engineer
Hillsboro, OR · On-site
Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...
Machine Learning Engineer
Hillsboro, OR · On-site
Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...
Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to machine learning engineering and MLOps. * Represent ...
OR · On-site
$134K - $180K/yr
The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with ...
As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...
As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...
Senior Machine Learning Engineer, MLOps West Coast
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational ...
Senior Machine Learning Engineer, MLOps West Coast
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational ...
Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...
Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...
Senior Machine Learning Engineer
$110K - $152K/yr
Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...
Senior Machine Learning Engineer
$110K - $152K/yr
Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Mlops Machine Learning Engineer information
Is MLOps harder than DevOps?
MLOps, as a specialized subset of DevOps focused on deploying and maintaining machine learning models, often involves additional challenges such as data management, model versioning, and monitoring. While both require skills in automation, scripting, and cloud environments, MLOps typically demands expertise in machine learning workflows and tools like TensorFlow or PyTorch, making it more complex in certain aspects compared to traditional DevOps.
What does an MLOps Machine Learning Engineer do?
An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.
How does an MLOps Machine Learning Engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?
An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.
What is the difference between Mlops Machine Learning Engineer vs Data Scientist?
| Aspect | Mlops Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps tools | Bachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning |
| Work Environment | Focus on deploying, maintaining, and scaling ML models in production environments | Focus on data analysis, model development, and insights generation |
| Employer & Industry Usage | Tech companies, startups, enterprises implementing ML solutions | Research institutions, analytics firms, tech companies for data insights |
While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.
Are MLOps engineers in demand?
MLOps engineers are in high demand due to the increasing adoption of machine learning models in various industries. Their skills in deploying, managing, and scaling machine learning systems, along with knowledge of tools like Docker, Kubernetes, and cloud platforms, make them valuable in the job market.
What engineers make $500,000?
Senior machine learning engineers, including those specializing in MLOps, often reach or exceed $500,000 annually with experience, advanced skills, and in high-demand industries like tech or finance. Compensation can include base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
How much do MLOps engineers make?
MLOps engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and expertise in tools like Kubernetes, Docker, and cloud platforms. Senior roles or those with specialized skills can exceed $180,000 per year.
What are the key skills and qualifications needed to thrive as an MLOps Machine Learning Engineer, and why are they important?
To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Oregon? For Mlops Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Mlops Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Mlops Machine Learning Engineer jobs? Cities in Oregon with the most Mlops Machine Learning Engineer job openings:
Contractor
Posted 26 days ago
Job description
Job Description
Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract
Experience Level: 5+ years of experience
Required Qualifications
   Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related fieldÂ
   5+ years of experience in machine learning, data science, or AI engineeringÂ
   Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)Â
   Experience with time-series data analysis and anomaly detectionÂ
   Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models)Â
   Experience building or working with knowledge graphs (Neo4j, RDF, graph databases)Â
   Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis)Â
   Experience deploying ML models in production systemsÂ
   Strong problem-solving skills and ability to work with complex, real-world datasets
Preferred Qualifications
   Experience with fault tree analysis (FTA), reliability engineering, or failure analysisÂ
   Background in industrial systems, semiconductors, manufacturing, or IoT environmentsÂ
   Experience with graph-based ML / Graph Neural Networks (GNNs)Â
   Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams)Â
   Experience with vector databases, RAG systems, or LLM-based reasoningÂ
   Knowledge of MLOps practices (CI/CD, monitoring, model governance)Â
   Experience working in air-gapped or high-security environmentsÂ
Â
Additional Information
All your information will be kept confidential according to EEO guidelines.