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Remote Machine Learning Ops Engineer Jobs in Brockton, MA

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125.40K - $165.30K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Red Hat

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189.60K - $312.73K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189.60K - $312.73K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174.19K - $287.41K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Red Hat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174.19K - $287.41K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Machine Learning Ops Engineer information

See Brockton, MA salary details

$31.6K

$129.3K

$194.3K

How much do remote machine learning ops engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote machine learning ops engineer in Brockton, MA is $129,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $155,700.00 per year, depending on experience, location, and employer.
What job categories do people searching Remote Machine Learning Ops Engineer jobs in Brockton, MA look for? The top searched job categories for Remote Machine Learning Ops Engineer jobs in Brockton, MA are:
What cities near Brockton, MA are hiring for Remote Machine Learning Ops Engineer jobs? Cities near Brockton, MA with the most Remote Machine Learning Ops Engineer job openings:
Remote Machine Learning Ops Engineer jobs near you
Infographic showing various Remote Machine Learning Ops Engineer job openings in Brockton, MA as of May 2026, with employment types broken down into 65% Full Time, 33% Part Time, 1% Contract, and 1% Nights. Highlights an 36% Physical, 18% Hybrid, and 46% Remote job distribution, with an average salary of $129,324 per year, or $62.2 per hour.

ML Ops Engineer (Boston, MA)

Foundation EGI

Boston, MA • On-site, Remote

Full-time

Posted 14 days ago

Job description

Requirements:
  • Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWS.
  • Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift.
  • Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent.
  • Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers.
  • Write clean, well-documented, fast, and maintainable code.
  • Help ensure our systems have high availability and performance.
  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.

About Us:
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'-an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
What we're looking for
  • BS in Computer Science or a related field.
  • 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
  • Expert-level Python and TypeScripts skills.
  • Experience with Docker, Kubernetes, Terraform, Google Cloud and AWS.
  • Deep understanding of machine learning models, including LLMs.
  • Experience designing and maintaining CI/CD pipelines to fine-tune or train ML models.
  • Excellent written and verbal communication skills.

Bonus Points
  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.

Our tech stack
  • Google Cloud, AWS
  • Python, TypeScript
  • Protobuf, gRPC
  • Next.JS, React.JS
  • GitHub Actions
  • Docker, Kubernetes, Spinnaker
  • PostgreSQL

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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