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Remote Director Machine Learning Jobs in Missouri

Jobgether

$40.75 - $55.75/hr

This is an excellent opportunity for an experienced DevOps professional to help build and optimize enterprise-scale machine learning infrastructure in a fully remote environment. In this role, you ...

Kohl's

$89K - $122K/yr

Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance ...

Jobgether

$79K - $104K/yr

Working in a fully remote, international environment, you will help establish best practices and drive innovation across the entire machine learning lifecycle, enabling the delivery of reliable and ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Jobgether

The work operates at the intersection of machine learning, distributed systems, and advertising ... Collaborative, flat-structure engineering culture with direct access to technical leadership.

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...

Jobgether

In this role, you will combine expertise in machine learning, generative AI, and scientific data ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

Jobgether

... remote-first environment where rapid iteration and measurable impact are valued ... If you're passionate about agentic AI, production-grade machine learning, and solving problems that ...

New

Jobgether

$80K - $110K/yr

Adapt machine learning models and vision pipelines to support new sports, leagues, stadiums, camera ... Fully remote position for professionals residing in Europe. * Flexible working hours with a strong ...

Jobgether

You will be part of a remote-first environment that values autonomy, continuous learning, and ... Collaborate with AI and machine learning specialists to transform models into reliable, scalable ...

New

Jobgether

... machine learning capabilities. You will collaborate with cross-functional teams to transform ... You will have the autonomy to influence technology choices and establish best practices in a remote ...

New

ABB

OEM Sales Director-Machinery

MO · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

B Capital

Director, Client Advisory

California, MO · On-site +1

$160K - $230K/yr

The Company At Arta Finance, we are product builders, machine learning researchers, finance ... Ability to create strong relationships and trust through an online remote environment Arta ...

Jobgether

Partner with Product, Analytics, Data Science, Machine Learning, and engineering leadership to ... Remote-first working environment with flexibility across Europe. * Opportunity to lead impactful ...

New

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Missouri

Remote Director Machine Learning information

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

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

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are popular job titles related to Remote Director Machine Learning jobs in Missouri? For Remote Director Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Director Machine Learning jobs in Missouri look for? The top searched job categories for Remote Director Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Director Machine Learning jobs? Cities in Missouri with the most Remote Director Machine Learning job openings:
Remote Director Machine Learning jobs near you

Sagemaker DevOps Engineer

Jobgether

Remote

$40.75 - $55.75/hr

Contractor

Posted 9 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 Sagemaker DevOps Engineer based in Netherlands.

This is an excellent opportunity for an experienced DevOps professional to help build and optimize enterprise-scale machine learning infrastructure in a fully remote environment. In this role, you will design, automate, and maintain cloud-based MLOps solutions that enable seamless model development, deployment, and operations. Working at the intersection of DevOps and machine learning, you will create scalable platforms, improve development workflows, and enhance operational efficiency across AI initiatives. You will collaborate with cross-functional engineering teams to deliver reliable, secure, and automated cloud environments. This position offers the chance to work with modern AWS technologies while contributing to high-impact, enterprise-level projects. It is ideal for professionals who enjoy solving complex infrastructure challenges and driving automation at scale.

Accountabilities
  • Design, build, and automate enterprise-grade AWS SageMaker environments to support scalable machine learning initiatives.
  • Develop and implement DevOps automation for SageMaker Unified Studio and related cloud infrastructure.
  • Configure and maintain SageMaker lifecycle configurations to improve development consistency and operational efficiency.
  • Build and optimize CI/CD pipelines that enable users to deploy custom Docker images, kernels, and machine learning workloads.
  • Develop monitoring, alerting, and cost-control mechanisms to ensure platform reliability, service availability, and efficient resource utilization.
  • Implement MLOps automation for model deployment and infrastructure promotion across multiple environments.
  • Collaborate with engineering and platform teams to continuously improve cloud architecture, deployment processes, and operational best practices.
Requirements
  • 6+ years of professional experience in DevOps, Cloud Engineering, Infrastructure Engineering, or a related technical field.
  • Expert-level experience with AWS services and Python development.
  • Strong hands-on experience with Amazon SageMaker and machine learning infrastructure.
  • Proven experience designing and implementing enterprise-scale DevOps automation solutions.
  • Solid understanding of CI/CD principles and infrastructure automation.
  • Experience building Jenkins pipelines is considered an advantage.
  • Experience implementing MLOps workflows and automated model deployment processes is preferred.
  • Strong analytical and troubleshooting skills with the ability to work independently in remote, distributed teams.
  • Excellent communication skills and a proactive, solution-oriented approach to problem solving.
Benefits
  • Fully remote position within Europe.
  • Flexible engagement as either a contractor or full-time employee.
  • Opportunity to work on cutting-edge AI, cloud, and machine learning projects.
  • Exposure to enterprise-scale AWS and MLOps environments.
  • Collaborative international team with modern engineering practices.
  • Opportunities for professional growth while working with advanced cloud and DevOps technologies.
  • High-impact role contributing to innovative machine learning infrastructure initiatives.
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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