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Remote Machine Learning Ops Engineer Jobs in Missouri

Jobgether

Working at the intersection of product, data science, engineering, analytics, and commercial teams ... Fully remote work environment with flexibility to work from anywhere within eligible European ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...

Jobgether

... machine learning across an entire organization. You will work at the intersection of platform ... At least 1 year of experience in ML Ops, LLM Ops, or AI/ML infrastructure-related roles

Jobgether

Own the complete machine learning lifecycle, including feature engineering, model development ... Fully remote position with the flexibility to work from the Netherlands and across eligible ...

Jobgether

$79K - $104K/yr

From generative AI and machine learning systems to modern cloud-based architectures, you will help ... Fully remote work environment offering flexibility and work-life balance. * Opportunity to lead ...

Jobgether

$158K/yr

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related ... Fully remote work environment with global collaboration opportunities. * Exposure to large-scale AI ...

Jobgether

$48.50 - $64/hr

... flexible, remote-first environment. Accountabilities * Deliver technical presentations ... Strong proficiency in Python or other statistical programming languages used for machine learning ...

Jobgether

$80K - $110K/yr

Collaborate with machine learning teams to integrate advanced computer vision capabilities into ... Fully remote full-time position with flexibility to work from your preferred location.

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model ...

micro1 AI

Domain Expert - (STEM PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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Remote Machine Learning Ops Engineer jobs near you
Infographic showing various Remote Machine Learning Ops Engineer job openings in Missouri as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 37% Physical, 4% Hybrid, and 59% Remote job distribution.

Machine Learning Product Manager

Jobgether

On-site, Remote

Full-time

Posted 3 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Product Manager based in Netherlands.

As a Machine Learning Product Manager, you will lead the strategy, development, and optimization of intelligent decision-making systems that drive meaningful business outcomes. Working at the intersection of product, data science, engineering, analytics, and commercial teams, you will transform complex challenges into scalable AI-powered solutions. This role combines strategic thinking with technical product leadership, requiring a strong understanding of machine learning, experimentation, and data-driven decision-making. You will shape how automated systems support growth, improve operational efficiency, and balance human oversight with intelligent automation. Ideal for a product leader who enjoys navigating ambiguity and solving high-impact problems, this position offers the opportunity to influence core business performance through innovative technology and cross-functional collaboration.

Accountabilities
  • Define and own the product vision, strategy, and roadmap for machine learning-powered decisioning and optimization capabilities.
  • Translate business objectives into clear product requirements, user stories, decision frameworks, and measurable success metrics.
  • Collaborate closely with Data Science, Engineering, Analytics, Commercial, and Leadership teams to develop intelligent systems that support growth and operational efficiency.
  • Identify, evaluate, and prioritize high-impact use cases for machine learning and automated decision-making across the business.
  • Lead discovery initiatives to understand existing workflows, operational challenges, and opportunities for optimization through AI-driven solutions.
  • Partner with technical teams to define data requirements, model objectives, experimentation frameworks, monitoring strategies, and feedback mechanisms.
  • Design and implement human-in-the-loop processes that balance automation with transparency, control, and reliability.
  • Drive experimentation and validation efforts to assess model performance, mitigate risk, and support data-informed product decisions.
  • Define, monitor, and optimize product KPIs and machine learning performance metrics to ensure measurable business impact.
  • Communicate complex technical concepts, machine learning systems, and optimization strategies effectively to both technical and non-technical stakeholders.
Requirements
  • Minimum of 5 years of product management experience, including several years working with machine learning, artificial intelligence, predictive systems, or algorithmic decision-making products.
  • Proven experience collaborating with Data Science and Engineering teams to deliver ML-powered products and translate business needs into technical solutions.
  • Strong analytical mindset with expertise in experimentation, hypothesis testing, performance measurement, and data-driven decision-making.
  • Ability to evaluate complex business and commercial trade-offs while balancing customer, operational, and organizational priorities.
  • Solid technical fluency, including familiarity with data pipelines, model development lifecycles, model evaluation techniques, system constraints, and experimentation methodologies.
  • Experience working in highly strategic, ambiguous, and cross-functional product environments where solutions require significant discovery and iteration.
  • Excellent stakeholder management and relationship-building skills, with the ability to align diverse teams around common objectives.
  • Structured and outcome-oriented approach to product discovery, roadmap development, prioritization, and execution.
  • Exceptional communication skills with the ability to simplify and explain complex systems to varied audiences.
  • Experience with marketplaces, recommendation systems, ranking algorithms, pricing systems, advertising technology, or similar optimization-focused domains is highly desirable.
  • Passion for artificial intelligence, intelligent systems, sustainability, and creating measurable business value through technology.
Benefits
  • Fully remote work environment with flexibility to work from anywhere within eligible European locations.
  • Flexible working hours and a high level of autonomy over work organization and schedule management.
  • Dedicated learning and development budget to support professional growth through courses, certifications, conferences, and training opportunities.
  • Access to professional coaching, personal development resources, and mental health support services.
  • Regular internal workshops, knowledge-sharing sessions, and cross-functional learning opportunities.
  • Opportunity to participate in company-wide gatherings, team-building events, workshops, and collaborative office weeks throughout the year.
  • Inclusive, feedback-driven culture that encourages innovation, experimentation, and continuous improvement.
  • Collaborative and diverse international team environment with strong emphasis on personal ownership and impact.
  • Optional access to modern office facilities for in-person collaboration and networking.
  • Strong commitment to work-life balance and employee well-being.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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