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Senior Machine Learning Jobs (NOW HIRING)

Candid

Senior Machine Learning Engineer

$107K - $146K/yr

Senior Machine Learning Engineer Reporting to: Senior Data Science Manager Supervises: N/A Schedule: 35-hour work week, Monday through Friday Compensation : $130,000 - $160,000 (this range is for the ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Disney Experiences

Sr Machine Learning Engineer

Orlando, FL · On-site

$97K - $134K/yr

...   The Senior Machine Learning Engineer will design, develop, implement enterprise grade and robust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI ...

New

Zof AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$200 - $250/hr

Zof AI is seeking a Senior Machine Learning Engineer for the traditional ML discipline: training, fine-tuning, and evaluating models rather than only building on top of them. This role owns datasets ...

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Zof AI

$200 - $250/hr

Zof AI is seeking a Senior Machine Learning Engineer for the traditional ML discipline: training, fine-tuning, and evaluating models rather than only building on top of them. This role owns datasets ...

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Alpha Business Solutions

Senior Machine Learning Engineer

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and implement algorithmic product architectures that enhance guest experiences and drive operational efficiencies. Responsibilities : • ...

ExaCare AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$100 - $125/hr

We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the workflows ...

Corning

$95K - $130K/yr

As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

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Senior Machine Learning information

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How much do senior machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for senior machine learning in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.

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

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

Is senior machine learning a high paying job?

Senior machine learning roles typically offer high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies by industry, location, and experience, but these positions are generally among the higher-paying roles in tech and data science fields.
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Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Machine Learning Engineer

Raceland, LA • On-site

Bollinger Shipyards
Ship and Boat Building • 1 - 5K employees
Learn more about Bollinger Shipyardsexternal

$99K - $136K/yr

Full-time

Re-posted 24 days ago

Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Title: Senior Machine Learning Engineer
Location: Mulitple Locations
Position Overview:
The Senior ML Engineer is responsible for operationalizing machine learning and AI solutions into scalable, reliable, and production-ready enterprise systems. This role bridges data science, software engineering, and infrastructure disciplines to deploy, monitor, optimize, and support AI solutions that drive operational and business outcomes.
Key Responsibilities:
• Deploy, integrate, and maintain machine learning and AI solutions within enterprise workflows and operational systems
• Design and develop scalable ML pipelines, feature stores, APIs, and model-serving infrastructure
• Collaborate with Data Scientists to productionize models and improve deployment readiness
• Monitor model performance, drift, availability, and reliability across production environments
• Implement processes for model retraining, versioning, governance, and lifecycle management
• Partner with Data Engineering teams to support feature engineering and data pipeline integration
• Ensure ML solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards
• Support AI applications across forecasting, operational optimization, bidding, scheduling, maintenance, and automation use cases
• Troubleshoot and resolve issues related to model deployment and operational performance
• Contribute to ML engineering standards, best practices, and platform improvements
• Document architecture, deployment processes, and operational support procedures
Qualifications:
• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field
• 6-10 years in ML or software engineering
• Strong Python and ML deployment experience
• Experience with cloud ML systems
Skills:
• Experience with Azure ML, Databricks, ML Ops, or similar cloud AI platforms
• Experience in manufacturing, industrial, operational, or engineering environments
• Familiarity with large language models, Generative AI, and intelligent automation
• Experience supporting enterprise AI applications integrated with ERP or operational systems
• Knowledge of monitoring, observability, and model governance practices
• Experience with Docker, Kubernetes, and infrastructure-as-code practices
Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

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