1

Machine Learning Manager Jobs in Milo, ME (NOW HIRING)

Machine Learning Manager information

See Milo, ME salary details

$49.3K

$78.9K

$114K

How much do machine learning manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning manager in Milo, ME is $78,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $89,400.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

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 key skills and qualifications needed to thrive as a machine learning manager?

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.

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.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.
Infographic showing various Machine Learning Manager job openings in Milo, ME as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $78,936 per year, or $38 per hour.

Security Architect - Artificial Intelligence

Tyler Technologies, Inc.

Orono, ME • On-site

$150 - $157/hr

Other

Posted 16 days ago


Tyler Technologies rating

9.3

Company rating: 9.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

14th of 247 rated software companies


Job description

Security Architect - Artificial Intelligence

We are seeking an experienced Artificial Intelligence Security Architect to lead the design and implementation of secure AI solutions across the enterprise. This role will focus on designing and assessing secure AI-based software solutions, providing secure infrastructure guidance for AI-based systems, identifying and mitigating risks associated with AI technologies, and regulatory compliance. The ideal candidate will possess a strong background in developing AI-based software solutions, secure cloud architecture, software architecture, and the ability to partner with business, engineering, and data science teams to create secure, scalable, and compliant AI solutions.

Location

Yarmouth, Maine | Plano, Texas | Orono, Maine

Responsibilities
  • Develop and maintain a library of enterprise AI security architectures, best practices, policies, standards, and guidelines aligned with corporate security strategy and risk management objectives.
  • Assess emerging AI technologies and recommend secure design patterns and controls for AI/ML systems, including generative AI, LLMs, and Agentive AI.
  • Define secure reference architectures for integrating AI solutions with enterprise IT systems and cloud environments.
  • Collaborate with software architects and data scientists to ensure security-by-design in AI solution development.
  • Identify, assess, and prioritize AI-related risks, including data poisoning, model theft, prompt injection, adversarial machine learning, and model drift.
  • Perform threat modeling and security assessments of AI systems, models, and supporting infrastructure.
  • Ensure compliance with applicable AI regulations and frameworks, such as the NIST AI Risk Management Framework.
  • Guide remediation efforts and design risk mitigation strategies for AI systems.
  • Partner with data governance teams to enforce data privacy and protection controls for training datasets and inference workloads.
  • Provide input into enterprise-wide AI governance, including model lifecycle management and responsible AI practices.
  • Act as a consultant to data science, cloud engineering, and development teams on secure AI solution design.
  • Provide training and guidance to security teams, software development teams, and stakeholders on AI security threats, risks, and mitigation strategies.
Qualifications
  • 7+ years of experience in cybersecurity, with at least 3 years focused on AI, ML, or data science systems.
  • Proven experience designing and securing enterprise-scale AI/ML solutions across cloud and hybrid environments.
  • Strong knowledge of AI security threats and attack vectors, including adversarial ML, model inversion, data poisoning, and prompt injection.
  • Experience with AI/ML platforms and tools such as TensorFlow, PyTorch, AWS SageMaker, Azure Machine Learning, AWS Bedrock, Claude, and OpenAI ChatGPT.
  • Deep understanding of data privacy, governance, and compliance requirements for AI systems.
  • Familiarity with LLM security, prompt engineering, and generative AI models.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Required to undergo and satisfactorily pass a fingerprint background check in accordance with CJIS requirements.
  • Bachelor’s degree in Computer Science, Computer Engineering, Cybersecurity, MIS, Data Science/Engineering or equivalent or comparable experience.
  • Desired Certification(s): CCSP, CISSP, CCSK, AWS Security Specialty, or Google Cloud AI Engineer.
State‑Specific Salary Range Disclosure Requirements

Salary will generally fall between $157,000 - $150,000 before adjustment for geographic differences. Recruiter can confirm if position is incentive eligible.

Benefits

Your health and well-being are important to us. That’s why we invest in our team members by offering competitive benefits to support their health and financial wellness. Learn more about how we care for our people.

Equal Opportunity Statement

Tyler Technologies is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, protected veteran status, or any other status protected under local, state, or federal laws. If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request by emailing jobs@tylertech.com or by calling 800.646.2633 ext. 791008. Please keep in mind these methods are reserved for individuals who require accommodation due to a disability.

#J-18808-Ljbffr

What Tyler Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom