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Senior Machine Learning Engineer Jobs in Jackson, MS

Hitachi

Senior Manufacturing Engineer

Crystal Springs, MS · On-site

$76K - $104K/yr

No Senior Manufacturing Engineer (Crystal Springs, MS) The Opportunity In this role, you will ... Access to learning platforms and career development programs * Attractive health and retirement ...

Arvum Senior Living

Dishwasher

Ridgeland, MS · On-site

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Ellison Technologies

CNC Field Service Engineer

Jackson, MS · On-site

$30 - $55/hr

... Learning Are you "energized" by working on sophisticated CNC machinery. Is being a problem solver ... If so I hope to connect regarding our CNC Field Service Engineer position. In this role, you will ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Jackson, MS

Senior Machine Learning Engineer information

See Jackson, MS salary details

$51.9K

$110.3K

$159.9K

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

As of Aug 8, 2026, the average yearly pay for senior machine learning engineer in Jackson, MS is $110,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $125,000.00 per year, depending on experience, location, and employer.

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

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Jackson, MS look for? The top searched job categories for Senior Machine Learning Engineer jobs in Jackson, MS are:
What cities near Jackson, MS are hiring for Senior Machine Learning Engineer jobs? Cities near Jackson, MS with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

Senior Manufacturing Engineer

Hitachi, Ltd.

Crystal Springs, MS • On-site

$76K - $104K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago

Job description

Location:
Crystal Springs, Mississippi, United States of America
Job ID:
R0132739
Date Posted:
2026-06-10
Company Name:
HITACHI ENERGY USA INC
Profession (Job Category):
Engineering & Science
Job Schedule:
Full time
Remote:
No
Job Description:
Senior Manufacturing Engineer (Crystal Springs, MS)
The Opportunity
In this role, you will contribute to the manufacturing of critical power grid equipment that supports reliable energy delivery to communities and industries. As a Senior Manufacturing Engineer, you will work closely with production and cross-functional teams to improve safety, quality, and operational performance within transformer manufacturing processes. You will take part in analyzing workflows, implementing capital improvement projects, and supporting equipment and process start-ups, helping ensure efficient and consistent production outcomes. Your work will directly influence how manufacturing operations perform-enhancing throughput, reducing waste, and strengthening process stability. By applying Lean methodologies and continuous improvement practices, you will help modernize manufacturing operations while maintaining a strong focus on safety and performance. This role offers the opportunity to engage with advanced manufacturing practices, collaborate across disciplines, and develop solutions that support a more reliable and efficient power grid.
How You'll Make an Impact
  • Analyze manufacturing process flows and production data to improve safety, quality, throughput, and cost efficiency
  • Perform engineering activities including design, development, testing, installation, and service using technical documentation and specifications
  • Lead and support root cause investigations and implement corrective actions to prevent recurrence of technical issues
  • Support production during process and equipment start-ups, including planning actions and training operations and maintenance teams
  • Evaluate and test new process technologies, defining approval criteria and coordinating with external providers
  • Drive continuous improvement initiatives using Lean methodologies such as ITM, 5S, Kaizen, TPM, and value stream mapping
  • Identify and lead capital improvement (CapEx) projects from scope definition through implementation and performance validation
  • Maintain a strong shop floor presence to support operations, identify risks, and reinforce a culture of continuous improvement
  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Your Background
  • Candidate must already have work authorization that would permit them to work for Hitachi Energy in the United States.
  • Bachelor's degree in engineering or a related field with a preferable minimum of 8+ years of experience
  • Practical experience in Lean Manufacturing methodologies such as 5S, Standard Work, Kaizen, TPM, SMED, and OEE with demonstrated results
  • Experience in process improvement approaches such as Six Sigma, DMAIC, and continuous improvement frameworks
  • Project management experience with the ability to manage multiple priorities in a fast-paced environment
  • Effective communication and collaboration skills across all organizational levels, from shop floor to leadership
  • Transformer manufacturing experience is a plus; Six Sigma Green or Black Belt certification preferred but not required
  • Role required to be onsite at our Crystal, Springs MS facility
More About Us
In this role, you will gain hands-on experience improving manufacturing processes that support essential power infrastructure while collaborating with experienced professionals across the industry.
  • Opportunities to work on innovative technologies that shape the future of energy
  • A collaborative environment with experienced professionals across the power industry
  • Access to learning platforms and career development programs
  • Attractive health and retirement benefits
  • Paid leave and flexible work arrangements

Equal Employment Opportunity (EEO)-Females/Minorities/Protected Veterans/Individuals with Disabilities
Protected veterans and qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

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