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Senior Machine Learning Engineer Jobs in Camden, AR

L3HHCM20

Manufacturing Technician B

Camden, AR

The Manufacturing Technician will join an exceptional cross-functional team of engineers and ... operate machinery. They will record and maintain records for manufactured products. Must work ...

L3HHCM20

Manufacturing Technician B

Camden, AR

The Manufacturing Technician will join an exceptional cross-functional team of engineers and ... operate machinery. They will record and maintain records for manufactured products. Must work ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Camden, AR

Senior Machine Learning Engineer information

See Camden, AR salary details

$50.5K

$107.3K

$155.6K

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

As of Aug 16, 2026, the average yearly pay for senior machine learning engineer in Camden, AR is $107,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $121,700.00 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 cities near Camden, AR are hiring for Senior Machine Learning Engineer jobs?

Cities near Camden, AR with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Camden, AR 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, with an average salary of $107,327 per year, or $51.6 per hour.

Senior Associate, Facilities Engineer

L3HHCM20

Camden, AR • On-site

Full-time

Re-posted 27 days ago

Job description

Job Title: Senior Associate, Facilities Engineer 

Job Code: 37845

Job Location: Camden, Arkansas

Job Schedule: 4/10: Employees work 10 hour days, 4 days a week

Job Description:

Candidate will perform Construction Project Management as well asplan, design and oversee the reconfiguration, construction and alteration of equipment, machinery, buildings, structures, and other facilities. Gathers and reviews data concerning facility or equipment specifications, company or government restrictions and guidelines, required completion schedule, and execution feasibility. Utilizes AutoCad software to develop concept and construction documents for a wide range of Facility projects. Coordinates with architecture and engineering firms in developing design criteria and preparing layout and detail drawings. Prepares bid sheets, project justification, statement of work documents and contracts for construction and facilities acquisition. Reviews and estimates design costs including equipment, installation, labor, materials, preparation, and other related costs. Responsible for managing to approved budgets and approving contracts and purchases. Oversees the construction and installation to ensure conformance to established drawings, specifications, cost and schedule. 

Essential Functions:

  • Intermediate professional with practical knowledge of job area.
  • Works under moderate supervision to set objectives for own job area.
  • Communicates with contacts inside and outside own team to explain and interpret operational processes, practices, and procedures Identifies and addresses changes within own job area.
  • Works to achieve operational targets with some impact on departmental results.
  • Work consists of making basic adjustments to systems and processes to solve problems.
  • Identifies, defines and addresses general problems that are typically within the immediate job area.
  • Problems are typically solved through drawing from prior experiences or standard procedures and basic analysis.

Qualifications:

Bachelor's Degree and a minimum of 2 years of prior related engineer experience. Graduate Degree or equivalent with 0 to 2 years of prior related facilities engineer experience. In lieu of a degree, minimum of 6 years of prior related facilities engineer experience.

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