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Mlops Machine Learning Engineer Jobs in Dublin, CA

Canals

Machine Learning Engineer

San Francisco, CA · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... Familiarity with MLOps practices and tools is a plus. Why Join Canals We're building software that ...

RADAR

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$195K - $264K/yr

ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML ... Experience with MLOps tools (MLflow, Weights & Biases, etc.) At RADAR, your base pay is one part of ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$190 - $230/hr

We're hiring our Founding ML Engineer, the first full-time machine learning hire who will turn ... Establish foundational MLOps practices: model versioning, CI/CD, monitoring, and documentation.

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... Familiarity with MLOps practices and tools for continuous integration and deployment of ML models.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

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Showing results 21-40

All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Dublin, CA

Mlops Machine Learning Engineer information

See Dublin, CA salary details

$35.5K

$145K

$217.9K

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

As of Aug 21, 2026, the average yearly pay for mlops machine learning engineer in Dublin, CA is $145,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $174,600.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?

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.

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?

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch 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 machine learning engineers in demand?

MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What are popular job titles related to Mlops Machine Learning Engineer jobs in Dublin, CA?

For Mlops Machine Learning Engineer jobs in Dublin, CA, the most frequently searched job titles are:

What job categories do people searching Mlops Machine Learning Engineer jobs in Dublin, CA look for?

The top searched job categories for Mlops Machine Learning Engineer jobs in Dublin, CA are:

What cities near Dublin, CA are hiring for Mlops Machine Learning Engineer jobs?

Cities near Dublin, CA with the most Mlops Machine Learning Engineer job openings:

Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Dublin, CA as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 95% Full Time, and 1% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $145,020 per year, or $69.7 per hour.

Machine Learning Engineer

Canals

San Francisco, CA • Remote

Full-time

Re-posted 11 days ago

Job description

About Canals

Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.

Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.

We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.

The Role

Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.

What You’ll Do

  • Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

  • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.

  • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.

  • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

  • Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.

  • Help shape the future of Canals as we continue scaling with our customers.

What You'll Bring

  • Senior-level experience building and deploying machine learning models in production environments.

  • Experience designing scalable data pipelines and working with large datasets.

  • Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.

  • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).

  • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.

  • Experience working independently in a fast-paced, product-focused environment.

  • Previous experience in high-growth startups or small teams is a plus.

  • Familiarity with MLOps practices and tools is a plus.

Why Join Canals

We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.

We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.

We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.

We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.

We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.