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Remote Fluid Power Engineer Jobs in Missouri (NOW HIRING)

Jobgether

This role offers the opportunity to build and improve AI-powered products by developing machine ... You will collaborate with software engineers and technical teams in a fast-moving, remote ...

Jobgether

Join a fast-paced, remote-first engineering team building scalable cloud-native platforms that power enterprise-grade applications. In this role, you'll design and develop high-performance backend ...

UtilliCo

Senior Structural Substation Engineer

Saint Louis, MO · On-site +1

$97K - $132K/yr

Louis, MO / Raleigh, NC / Remote Employment Type: Full-Time About UtilliCo At UtilliCo, we are a dynamic Engineering and Project management company that provide comprehensive solutions for the Power ...

Jobgether

$94K - $124K/yr

Working within a remote-first engineering environment, you will solve challenging technical ... powered tools to improve productivity and quality. This is an opportunity for an experienced ...

New

Jobgether

... power distribution solutions, and infrastructure options against site conditions and capacity ... Flexible and remote-first working environment. * Opportunity to contribute to impactful AI ...

Jobgether

The position focuses on evaluating power systems, distribution strategies, and infrastructure ... Flexible remote working environment with strong ownership and autonomy. * Career development ...

Jobgether

$37 - $74/hr

Strong understanding of thermal-fluid behavior and reactor system phenomena relevant to advanced ... Remote work flexibility. * Opportunity to contribute to advanced nuclear reactor development and ...

Jobgether

$94K - $124K/yr

This role offers the opportunity to build and scale high-performance systems that power modern ... Ability to collaborate effectively in a remote, global engineering environment. Nice-to-have ...

New

Jobgether

$40 - $55/hr

... remote-first environment. Accountabilities * Design, develop, and maintain high-quality iOS ... Build and integrate AI-powered features through backend APIs, delivering seamless and intuitive ...

JARBO

Controls Engineer

Kansas City, MO · On-site +1

$77K - $99K/yr

Select and integrate PLCs, HMIs, VFDs, motor controls, instrumentation, sensors, relays, power ... Perform on-site and remote commissioning, startup, troubleshooting, system testing, and operator ...

JARBO

Controls Engineer

Kansas City, MO · On-site +1

$77K - $99K/yr

Select and integrate PLCs, HMIs, VFDs, motor controls, instrumentation, sensors, relays, power ... Perform on-site and remote commissioning, startup, troubleshooting, system testing, and operator ...

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All JobsFluid Power Engineer JobsRemote Fluid Power Engineer JobsRemote Fluid Power Engineer Jobs in Missouri

Remote Fluid Power Engineer information

What is a remote fluid power engineer?

A Remote Fluid Power Engineer is a professional who designs, develops, and troubleshoots hydraulic and pneumatic systems while working remotely, often using digital tools and communication platforms. They typically collaborate with teams to create efficient fluid power solutions for machinery, industrial equipment, or vehicles. These engineers may also provide technical support, oversee installations, and ensure system compliance with industry standards—all from a remote location. The role requires strong technical knowledge and the ability to work effectively without being physically present at the job site.

What is the difference between Remote Fluid Power Engineer vs Remote Mechanical Engineer?

AspectRemote Fluid Power EngineerRemote Mechanical Engineer
Required CredentialsBachelor's in Mechanical or Electrical Engineering, Fluid Power certificationsBachelor's in Mechanical Engineering, relevant certifications
Work EnvironmentDesign, analyze, and troubleshoot hydraulic/pneumatic systems remotelyDesign and develop mechanical systems remotely
Industry UsageHydraulics, pneumatics, automation industriesManufacturing, product design, automation industries

The Remote Fluid Power Engineer specializes in hydraulic and pneumatic systems, often requiring specific certifications, and works primarily in automation and fluid power industries. In contrast, the Remote Mechanical Engineer has a broader focus on mechanical systems across various industries. Both roles involve remote work and engineering expertise, but their technical focus and industry applications differ.

How does a remote fluid power engineer typically collaborate with on-site teams to troubleshoot and optimize hydraulic systems?

Remote Fluid Power Engineers frequently work with on-site teams through virtual meetings, remote monitoring tools, and digital documentation platforms. They provide technical guidance, analyze system data, and recommend solutions for hydraulic or pneumatic system issues without being physically present. Effective communication and clear documentation are crucial, as engineers need to ensure their instructions are easily understood by the on-site staff. Building strong relationships with field technicians and maintenance crews also helps streamline troubleshooting and system optimization processes.

What are the key skills and qualifications needed to thrive as a remote fluid power engineer?

To thrive as a Remote Fluid Power Engineer, you need a strong background in mechanical or hydraulic engineering, experience with fluid power systems, and a relevant engineering degree. Familiarity with CAD software, hydraulic simulation tools, and industry-specific certifications such as Certified Fluid Power Engineer (CFPE) are typically required. Excellent problem-solving, communication, and self-management skills help you collaborate remotely and address complex technical challenges. These abilities are crucial for designing, troubleshooting, and supporting fluid power systems efficiently from a remote setting.
What are the most commonly searched types of Fluid Power Engineer jobs in Missouri? The most popular types of Fluid Power Engineer jobs in Missouri are:
What are popular job titles related to Remote Fluid Power Engineer jobs in Missouri? For Remote Fluid Power Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Fluid Power Engineer jobs in Missouri look for? The top searched job categories for Remote Fluid Power Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Fluid Power Engineer jobs? Cities in Missouri with the most Remote Fluid Power Engineer job openings:
Remote Fluid Power Engineer jobs near you
Infographic showing various Remote Fluid Power Engineer job openings in Missouri as of June 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution.

Machine Learning Engineer

Jobgether

On-site, Remote

Full-time

Posted 10 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 Engineer based in Netherlands.

This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.
You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.
The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.
You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.
This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.

Accountabilities:

The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:

  • Develop, train, test, and evaluate machine learning models to support product objectives.
  • Prepare, clean, analyze, and manage datasets used for model training and validation.
  • Improve model performance through experimentation, optimization, and continuous testing.
  • Deploy, maintain, and monitor machine learning models in production environments.
  • Collaborate with software engineers to integrate machine learning capabilities into products and applications.
  • Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.
  • Apply modern machine learning techniques and stay informed about emerging technologies and best practices.
  • Write clean, maintainable, and efficient code to support scalable AI solutions.
  • Contribute to technical discussions and help solve complex engineering challenges.
  • Participate in the continuous improvement of machine learning workflows and development processes.
Requirements:

The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:

  • 1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities.
  • Basic understanding of machine learning concepts, algorithms, and model development processes.
  • Strong programming skills in Python.
  • Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Comfortable working with data and writing clean, maintainable code.
  • Experience using Git and version control practices.
  • Strong problem-solving skills with the ability to analyze technical challenges.
  • Good written and verbal English communication skills.
  • Passion for learning, experimenting, and building AI-powered solutions.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory.
  • Experience with large language models (LLMs) is an advantage.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial.
  • Knowledge of SQL and experience deploying machine learning models are considered advantages.
  • Personal AI, machine learning projects, or open-source contributions are highly valued.
Benefits:

The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:

  • Fully remote work opportunity.
  • Flexible working environment with autonomy and work-life balance.
  • Opportunity to build and improve real-world AI products.
  • Exposure to challenging technical problems and modern machine learning technologies.
  • Collaborative and fast-moving team environment.
  • Opportunities for professional growth and continuous learning.
  • Competitive compensation based on experience.
  • Opportunity to contribute to impactful machine learning projects from anywhere.
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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