1

Flexible Machine Learning Jobs (NOW HIRING)

This team is investing in machine learning and analytics capabilities to help improve fraud ... Competitive compensation, benefits, flexible time off, and career development opportunities

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ... Competitive compensation, benefits, flexible time off, and career development opportunities

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Flexible work schedule * Tuition support * PTO and paid holidays Visit us: www.covar.com

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Flexible PTO * Regular company retreats * Mentorship opportunities with our world-class team ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

By integrating advanced metal forming, robotics, and automated production inside a flexible factory ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

Be Seen First

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Flexible work environment with opportunities for professional growth and development. * The chance ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... flexible time off. Join the team rewriting how money moves worldwide-and become a driving force in ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Strong problem-solving skills and a willingness to be flexible and learn new concepts and ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Flexible Time Off * Career Development & Mentoring Programs * Health & Wellness Benefits, including ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Flexible Time Off * Career Development & Mentoring Programs * Health & Wellness Benefits, including ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Strong problem-solving skills and a willingness to be flexible and learn new concepts and ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Strong problem-solving skills and a willingness to be flexible and learn new concepts and ...

next page

Showing results 1-20

Flexible Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do flexible machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for flexible machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Machine Learning vs Data Scientist?

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

More about Flexible Machine Learning jobs
What cities are hiring for Flexible Machine Learning jobs? Cities with the most Flexible Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Flexible Machine Learning jobs? States with the most job openings for Flexible Machine Learning jobs include:

Machine Learning Engineer

Pivotal Solutions

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision

Posted 13 days ago


Job description

Job Description
Job Overview:
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and business stakeholders to implement advanced machine learning solutions and drive innovation within the company.
Key Responsibilities:
  • Design and develop scalable machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Analyze large datasets to extract actionable insights and identify patterns.
  • Tune and optimize machine learning models for performance and accuracy.
  • Stay current with the latest advancements in AI and machine learning technologies.
  • Work with software development teams to ensure models are deployed efficiently and effectively.
  • Develop and maintain documentation for models, algorithms, and tools used.

Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
  • Proven experience in machine learning, data science, and AI technologies.
  • Proficiency in Python, R, or other programming languages used in machine learning.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of data structures, algorithms, and statistical modeling.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
  • Excellent problem-solving skills and the ability to work independently or in a team.
  • Strong communication skills to explain technical concepts to non-technical stakeholders.

Preferred:
  • Experience with deep learning techniques and natural language processing (NLP).
  • Prior experience in deploying machine learning models in a production environment.
  • Familiarity with DevOps practices and tools for machine learning pipelines (e.g., Docker, Kubernetes).

Benefits:
  • Competitive salary and performance bonuses.
  • Health, dental, and vision insurance.
  • Flexible working hours and remote work options.
  • Professional development opportunities.