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Senior Machine Learning Ops Engineer Jobs in Montana

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Minimum Requirements: * High School Diploma or ...

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Minimum Requirements: * High School Diploma or ...

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Minimum Requirements: * High School Diploma or ...

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

... of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education: • High School Diploma or equivalent. • Less than 1 ...

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Work under the guidance of senior machine operators and supervisors, learning more advanced machine operations and troubleshooting techniques. Experience/Education * High School Diploma or equivalent.

Showing results 41-60

Senior Machine Learning Ops Engineer information

What is a senior machine learning ops engineer?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.

What are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by senior machine learning ops engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Senior Machine Learning Ops Engineer jobs in Montana?

For Senior Machine Learning Ops Engineer jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Ops Engineer jobs in Montana look for?

The top searched job categories for Senior Machine Learning Ops Engineer jobs in Montana are:

What cities in Montana are hiring for Senior Machine Learning Ops Engineer jobs?

Cities in Montana with the most Senior Machine Learning Ops Engineer job openings:

Infographic showing various Senior Machine Learning Ops Engineer job openings in Montana as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Helena, MT • On-site

Full-time

Re-posted 22 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems