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Machine Learning Contract Remote Jobs in Missouri

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

$80K - $110K/yr

Join a fully remote, mission-driven climate technology environment where machine learning and satellite imagery are used to address critical infrastructure challenges. As part of the Vegetation ...

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

... and Contract We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML ...

$95K - $131K/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 ...

$79K - $104K/yr

The role spans managed AWS machine learning services, open-source ML tooling, model serving ... This is a fully remote independent contractor opportunity within a globally distributed team, with ...

New

Comprehensive healthcare coverage. * Long-term B2B contract with a stable project pipeline. * Fully remote working model. * Opportunity to work with modern LLM, RAG, machine learning, and AI platform ...

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 ...

$159K - $215K/yr

This is a high-impact engineering leadership role at the intersection of machine learning, data ... Fully remote work environment with a globally distributed team. * Opportunity to lead a ...

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

... remote opportunity for an independent researcher who wants their work to move quickly from the lab into clinical practice. Accountabilities * Design, develop, train, and evaluate machine learning ...

Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence ... processing, machine-learning workflows, and production infrastructure. We value pragmatic ...

Develop and evolve reliable platform infrastructure supporting data science and machine learning ... Fully remote position within Europe, with the flexibility to work from your home country.

You'll work closely with experienced engineers in a remote, collaborative environment where ... Demonstrated experience taking a machine learning model from raw data through experimentation and ...

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Machine Learning Contract Remote information

See Missouri salary details

$7

$20

$52

How much do machine learning contract remote jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for machine learning contract remote in Missouri is $20.59, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $23.89 per hour, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Missouri?

For Machine Learning Contract Remote jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Missouri look for?

The top searched job categories for Machine Learning Contract Remote jobs in Missouri are:

What cities in Missouri are hiring for Machine Learning Contract Remote jobs?

Cities in Missouri with the most Machine Learning Contract Remote job openings:

Machine Learning Specialist

Remote

Contractor

This job post has expired today. Applications are no longer accepted.


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 Specialist based in Netherlands.

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions.
You will work across machine learning, data science, analytics, and predictive modeling to solve complex business challenges.
The role combines hands-on technical delivery with collaboration across data, engineering, analytics, and project teams.
You will transform large and complex datasets into actionable insights, models, reports, and intelligent applications.
There is also an opportunity to influence broader AI initiatives by providing technical guidance and helping shape analytical products.
The position places strong emphasis on responsible AI, including privacy, transparency, accountability, and ethical data practices.
It is well suited to a technically strong professional who enjoys turning advanced analytics into practical business outcomes.

Accountabilities
  • Design, develop, train, validate, and evaluate machine learning models for business and enterprise use cases.
  • Analyze large and complex datasets to identify meaningful patterns, generate insights, and support data-driven decision-making.
  • Prepare, clean, normalize, structure, and organize data for predictive and prescriptive modeling.
  • Develop analytical models, data products, dashboards, reports, and visualizations that communicate findings effectively.
  • Integrate machine learning models into applications, business processes, and operational workflows.
  • Gather, clarify, and document business and technical requirements for AI and analytics initiatives.
  • Collaborate closely with data engineers, analysts, developers, and project teams to deliver end-to-end data solutions.
  • Provide technical leadership, guidance, and expertise across data science and AI initiatives.
  • Support the development of full-stack analytics and AI applications when required.
  • Promote responsible AI practices by considering privacy, accountability, transparency, security, and ethical implications throughout the development lifecycle.
  • Identify, communicate, and appropriately escalate technical risks, dependencies, and issues within a multi-vendor environment.
  • Develop and share reusable analytical models, methodologies, and data products to improve organizational capabilities.
Requirements
  • 6+ years of professional experience using statistical and programming languages for data analysis, machine learning, and related quantitative work.
  • 6+ years of experience designing and implementing analytical and quantitative models.
  • 6+ years of experience preparing and transforming data for predictive and prescriptive modeling.
  • 6+ years of experience applying AI and machine learning techniques to real-world business or enterprise challenges.
  • Strong understanding of data analysis methodologies, statistical techniques, predictive modeling, and machine learning concepts.
  • Demonstrated ability to work with large, complex datasets and translate analytical results into practical recommendations.
  • Strong programming and analytical capabilities, with the ability to develop robust, maintainable data and ML solutions.
  • Experience collaborating effectively with multidisciplinary teams, including data engineers, analysts, developers, and project stakeholders.
  • Ability to understand business requirements and translate them into appropriate technical and analytical approaches.
  • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • A responsible and thoughtful approach to AI development, with awareness of privacy, transparency, accountability, and ethical AI principles.
  • Ability to work independently, manage priorities, provide technical guidance, and escalate risks effectively in a complex delivery environment.
Benefits
  • Fully remote working arrangement.
  • Opportunity to work on AI, machine learning, analytics, and data-driven enterprise initiatives.
  • Exposure to complex business problems and large-scale datasets.
  • Cross-functional collaboration with data, engineering, analytics, and project teams.
  • Opportunity to provide technical leadership and influence the development of analytical data products.
  • Environment focused on responsible, transparent, and ethical use of AI.
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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