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Machine Learning Manager Jobs in Maine (NOW HIRING)

Altium Packaging LLC

Machine Technician II - B Shift

Poland, ME · On-site

$15 - $18.50/hr

Other duties as assigned by management. * Duties may differentiate by plant based on equipment and ... learning and training opportunities, bonus potential, and a 401(k) plan with company contributions ...

Camdennational

Cybersecurity Architect

Camden, ME

... management lifecycle of information systems * Use industry standard security architecture ... machine learning-enabled business solutions. * Partner directly with technology and business ...

Camdennational

Cybersecurity Architect

Auburn, ME

... management lifecycle of information systems * Use industry standard security architecture ... machine learning-enabled business solutions. * Partner directly with technology and business ...

Razer

Site Reliability Engineer

South China, ME

$50.75 - $67.25/hr

Collaborate with software engineering teams to improve CI/CD pipelines, deployment automation, release management, and the deployment lifecycles of machine learning models. * Automate infrastructure ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Maine

Machine Learning Manager information

See Maine salary details

$49.4K

$79.1K

$114.2K

How much do machine learning manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for machine learning manager in Maine is $79,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $89,600.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Maine? The most popular types of Machine Learning jobs in Maine are:
What are popular job titles related to Machine Learning Manager jobs in Maine? For Machine Learning Manager jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Maine look for? The top searched job categories for Machine Learning Manager jobs in Maine are:
What cities in Maine are hiring for Machine Learning Manager jobs? Cities in Maine with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Maine as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $79,110 per year, or $38 per hour.
Machine Technician II - B Shift

Machine Technician II - B Shift

Consolidated Container

Poland, ME • On-site

$15 - $18.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Location Address:

115 Poland Spring Drive, Poland, Maine 04274

Work Shift:

12hr-B Shift (United States of America)

Responsibilities include, but are not limited to the following:

Demonstrates safe work practices by wearing correct PPE and following safety policies

  • Demonstrates punctuality and adheres to work schedule.

Demonstrates a One Team Cross Functional attitude by working well and effectively with others

  • Embraces and participates in continuous improvement processes to drive change within the plant.

Adheres to company General Manufacturing Policies

  • Ensure compliance with corporate and plant safety standards and with applicable laws and regulations issued by regulatory agencies.
  • Keeps the work area clutter free, clean, and organized.
  • Introduction to preventive maintenance, mold, neck and blow pin and other mechanical changes.
  • Operate blow-mold/PET/injection molding machines (including wheels, reciprocating or shuttle machines) to ensure production of quality bottles.
  • Adhere to quality control and to blow mold process procedure.
  • Introduction to troubleshooting and resolving process problems.
  • Performs bottle inspections, such as drop tests for designated lines.
  • Inspects the quality of bottles during production, packaging and labeling.
  • Perform audits, weights and quality checks. Machines may vary by site.
  • Make adjustments to meet product specifications.
  • Troubleshoot and perform minor repair on blow-mold and support equipment.
  • Immediately escalates all bottle abnormalities, defects and quality issues when found.
  • Monitor supply levels of packaging materials and replenish as needed.
  • Pick up dropped bottles, place into bins and if needed into grinder.
  • Ensure correct labeling, bottle description and packaging of product in accordance with specific customer requirements.
  • Move finished goods to designated area.
  • Prepare & document daily production reports, including rejects, regrinds, line efficiencies and other.
  • Prepare maintenance request forms and document equipment repairs.
  • Receives instructions on specific job task by Lead Operator or Supervisor. Assistance is furnished on unusual problems and work is reviewed for application of sound professional judgment.
  • Other duties as assigned by management.
  • Duties may differentiate by plant based on equipment and plant design.

  • Reasonable mandatory overtime may be required due to business needs.

QUALIFICATIONS:

The requirements listed below are minimum requirements for the job. Reasonable accommodation may be made to enable individuals with disabilities who are otherwise qualified to safely perform the essential functions of the job, unless such accommodation would impose an undue hardship on the Company.

EXPERIENCE:

  • Basic mathematical skills are required.
  • Basic computer experience.
  • Blow mold experience.

EDUCATION:

Prefer High School diploma or general education degree (GED).

TRAINING:

Completion of Altium Production/Machine Operator training within 90 days of hire date.

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities who are otherwise qualified to safely perform the essential functions of the job unless such accommodation would impose an undue hardship on the Company. While performing the employee is frequently required to stand; walk; use hands to grasp, handle, or feel; reach out, over and below with hands and arms.

The employee is occasionally required to climb, balance, stoop, kneel, crouch, and or crawl. The employee frequently is required to lift, push, pull, and/or move up to 50 pounds.

WORK ENVIRONMENT:

While performing the duties of this job, the employee is regularly exposed to moving mechanical parts in a production environment. The noise level in the work environment is usually loud. Temperatures inside the plant can fluctuate between hot and cold according to seasonal changes. Personal protective equipment (PPE) is required in the production department and other designated areas.

#IND MO

Altium Packaging, Our Culture Differentiates Us!

We incorporate our Guiding Principles into all aspects and at all levels of the organization and use them as a framework for decision-making. We believe our Guiding Principles foster a culture of excellence that benefits both employees and customers.

Our Guiding Principles

  • Act with Integrity & in Compliance
  • Drive Value Creation
  • Be Disciplined Entrepreneurs
  • Focus on the Customer
  • Act with Humility
  • Treat others with Dignity and Respect
  • Seeking Fulfillment in your Work

We Believe in Rewarding our Most Important Resource - Our People!
We show our commitment to Total Rewards by providing a competitive, comprehensive benefits package. In addition to medical, dental and vision plans, company holidays and vacation days, tuition reimbursement, learning and training opportunities, bonus potential, and a 401(k) plan with company contributions, Altium Packaging locations offer rewards and recognition programs and opportunities to make a difference in the community.

EEO Statement

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

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