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Remote Bioinformatics 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 ...

New

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 ...

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 ...

New

Jobgether

The work operates at the intersection of machine learning, distributed systems, and advertising ... Remote-first international work environment with high autonomy and flexibility. * Exposure to ...

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

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

Relativity

Principal Applied Scientist

California, MO · On-site +1

Remote/Hybrid Job Overview Relativity is a leading legal data intelligence company building ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Relativity

Principal Applied Scientist

Kansas City, MO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Missouri

Remote Bioinformatics Machine Learning information

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

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

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Missouri? For Remote Bioinformatics Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Missouri look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Missouri with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you

Sagemaker DevOps Engineer

Jobgether

Remote

$40.75 - $55.75/hr

Contractor

Posted 5 days ago

New

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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