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Machine Learning Specialist Jobs (NOW HIRING)

Jobgether

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 ...

Orchard LLC

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... The successful candidate will collaborate with marine scientists, engineers, data specialists, and ...

New

Zeta Charter Schools

Learning Specialist

New York, NY · On-site

$2.5K/wk

  • Medical

  • Dental

  • Vision

  • Retirement

We insist that every student receives a world-class education while fostering a love for learning ... Fully stocked teacher workrooms with favorite snacks and Nespresso machine * Zeta swag, team ...

ProSidian Consulting

Machine Learning Engineer

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer Professionals typically cover Data Scientist Support Functional Area / Swim Lane / Category Disciplines and serve as Senior specialist or technical lead scope requiring ...

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to ... Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to:

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Machine Learning Specialist information

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$20.5K

$53.9K

$97K

How much do machine learning specialist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning specialist in the United States is $53,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $60,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning specialist?

To thrive as a Machine Learning Specialist, you need a strong background in mathematics, programming (Python, R), and data analysis, typically supported by a relevant degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and knowledge of cloud platforms like AWS or Azure is highly valued, and certifications in these can enhance your qualifications. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly make someone stand out in this field. These skills and qualifications are crucial for effectively developing, deploying, and explaining machine learning solutions to diverse stakeholders.

What is a machine learning specialist?

A Machine Learning Specialist is a professional who designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets, use statistical and computational techniques, and optimize models for accuracy and efficiency. Their role often involves data preprocessing, feature engineering, model selection, and deployment. They collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into business applications.

Is machine learning a high paying job?

Machine learning specialists are generally among the higher-paid roles in the tech industry due to their specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, location, and industry, but the role typically offers competitive compensation compared to many other tech positions.

What are some common challenges a machine learning specialist might face?

Machine Learning Specialists often encounter challenges such as ensuring data quality, selecting appropriate algorithms, and scaling solutions for real-world application. Navigating the complexities of messy or incomplete datasets and tuning models for optimal performance can be demanding. Balancing innovation with practical deployment constraints, such as computational resources and integration with existing systems, is also common. To address these challenges, collaboration with data engineers, domain experts, and product teams is essential, and ongoing professional development helps specialists stay ahead in this rapidly evolving field.

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Machine Learning Specialist jobs near you
Infographic showing various Machine Learning Specialist job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Nights. Highlights an 100% In-person job distribution, with an average salary of $53,925 per year, or $25.9 per hour.

Machine Learning Specialist

Jobgether

Remote

Contractor

Posted 4 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 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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