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Machine Learning Engineer Opt Jobs in Bellingham, WA

Jr. Data Engineer

Ferndale, WA · On-site +1

$84K - $117K/yr

Strong proficiency in Python for data engineering and machine learning workflows * Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training ...

Strong proficiency in Python for data engineering and machine learning workflows * Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training ...

Controls Engineer (Night Shift)

Burlington, WA · On-site

$86K - $111K/yr

... for learning and professional growth. We offer competitive pay, generous benefits, and ... Machine vision design (Cognex, Keyence, Banner, Omron). * Assist with machine start-ups (I/O checks ...

Controls Engineer (Night Shift)

Burlington, WA · On-site

$86K - $111K/yr

... for learning and professional growth. We offer competitive pay, generous benefits, and ... Machine vision design (Cognex, Keyence, Banner, Omron). * Assist with machine start-ups (I/O checks ...

Job Title: Jr. Full Stack Developer * Work Location: Remote * Employment Type: Full-time * ... Integrate AI and machine learning models into existing and new application workflows * Troubleshoot ...

Jr. Full Stack Developer

Ferndale, WA · On-site +1

$106K - $132K/yr

Job Title: Jr. Full Stack Developer * Work Location: Remote * Employment Type: Full-time * ... Integrate AI and machine learning models into existing and new application workflows * Troubleshoot ...

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Showing results 1-20

Machine Learning Engineer Opt information

See Bellingham, WA salary details

$32.7K

$133.8K

$201.1K

How much do machine learning engineer opt jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer opt in Bellingham, WA is $133,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $161,100.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What job categories do people searching Machine Learning Engineer Opt jobs in Bellingham, WA look for? The top searched job categories for Machine Learning Engineer Opt jobs in Bellingham, WA are:
Machine Learning Engineer

Machine Learning Engineer

SynergisticIT

Mount Vernon, WA

Other

Posted 2 days ago


Job description

Since 2010 Synergisticit has helped Jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.
In this Job market also, our candidates are able to achieve multiple job offers and $100k + salaries.
please check the below links to see the success outcomes and salaries of our candidates .
https://www.synergisticit.com/candidate-outcomes/
https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog
We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023
https://synergisticit.wistia.com/medias/tmwjwchxz5
https://synergisticit.wistia.com/medias/n8487768di
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://synergisticit.wistia.com/medias/k6t6a1n4kb
https://synergisticit.wistia.com/medias/pgrvq4fgni
https://synergisticit.wistia.com/medias/ce4syhm853
All Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like pple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java, Javascript, C++, or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernates, and REST API's experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who are matching client requirements.
No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or c2c candidates