As a Machine Learning Engineer, you will work with complex datasets, design and optimize models ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus but ...
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus but ...
Working alongside multidisciplinary experts in machine learning, software engineering, and scientific domains, you'll contribute to cutting-edge AI initiatives with meaningful impact. This is an ...
Working alongside multidisciplinary experts in machine learning, software engineering, and scientific domains, you'll contribute to cutting-edge AI initiatives with meaningful impact. This is an ...
So what's the job As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You'll work closely with our product and ...
So what's the job As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You'll work closely with our product and ...
You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
Machine Learning Tutor
Columbia, MO · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Columbia, MO · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Kansas City, MO · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Kansas City, MO · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Saint Louis, MO · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Saint Louis, MO · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
Machine Learning Engineer 727
Saint Louis, MO · On-site
You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Staff, Machine Learning Engineer
Cassville, MO · On-site
$130K - $260K/yr
A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...
Staff, Machine Learning Engineer
Cassville, MO · On-site
$130K - $260K/yr
A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Staff, Machine Learning Engineer
Anderson, MO · On-site
$130K - $260K/yr
A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...
Staff, Machine Learning Engineer
Anderson, MO · On-site
$130K - $260K/yr
A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...
Scientific Machine Learning information
What is scientific machine learning?
Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.
What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?
Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.
What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?
To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.
What is the difference between Scientific Machine Learning vs Data Scientist?
| Aspect | Scientific Machine Learning | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in CS, ML, or related fields; knowledge of scientific computing | Degree in CS, statistics, or related fields; strong analytical skills |
| Work environment | Research labs, academia, industry R&D teams | Business analytics, tech companies, consulting firms |
| Industry usage | Research, scientific computing, engineering simulations | Business insights, predictive modeling, data analysis |
Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.
What are popular job titles related to Scientific Machine Learning jobs in Missouri? For Scientific Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Missouri look for? The top searched job categories for Scientific Machine Learning jobs in Missouri are:
- Research Machine Learning Federated Learning
- Internship Spacex Machine Learning
- Remote Machine Learning Ops Engineer
- Junior Machine Learning
- Remote Machine Learning Compiler Engineer
- Learning Disability
- Remote Tesla Machine Learning Engineer
- Embedded Machine Learning Internship
- Contractual Machine Learning Government
- Freelance Google Machine Learning Engineer
What cities in Missouri are hiring for Scientific Machine Learning jobs? Cities in Missouri with the most Scientific Machine Learning job openings:
Full-time
Posted 7 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.
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.
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!
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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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