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Remote Medical Imaging Machine Learning Jobs in Missouri

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 ...

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 ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Kohl's

Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application Preferred * Degree in Mathematics or Statistics, Economics, Computer Science, Predictive ...

Varsity Tutors

Biomedical Engineering Tutor

Columbia, MO · Remote

$18 - $40/hr

Deep knowledge of biomechanics, biomaterials, bioinstrumentation, medical imaging, tissue ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

micro1 AI

Engineering AI Evaluator (PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Jobgether

... machine learning capabilities. You will collaborate with cross-functional teams to transform ... You will have the autonomy to influence technology choices and establish best practices in a remote ...

Jobgether

Strong experience as a Senior AI/ML Engineer, LLMOps Engineer, Machine Learning Engineer, or ... Flexible work arrangements, including remote or hybrid options. * Collaboration with a diverse and ...

Jobgether

Benefits * 100% remote position with preference for European time zone collaboration. * Opportunity ... Learning and development budget for conferences, courses, tools, and professional resources.

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site +1

Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive ... medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) ...

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All JobsMedical Imaging Machine Learning JobsRemote Medical Imaging Machine Learning JobsRemote Medical Imaging Machine Learning Jobs in Missouri

Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

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

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

How does a Remote Medical Imaging Machine Learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.
What are the most commonly searched types of Medical Imaging Machine Learning jobs in Missouri? The most popular types of Medical Imaging Machine Learning jobs in Missouri are:
What are popular job titles related to Remote Medical Imaging Machine Learning jobs in Missouri? For Remote Medical Imaging Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Medical Imaging Machine Learning jobs in Missouri look for? The top searched job categories for Remote Medical Imaging Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Medical Imaging Machine Learning jobs? Cities in Missouri with the most Remote Medical Imaging Machine Learning job openings:
Remote Medical Imaging Machine Learning jobs near you

Engineering Manager (Data Direction)

Jobgether

On-site, Remote

Full-time

Posted 6 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 an Engineering Manager (Data Direction) based in Netherlands.

We are seeking an experienced engineering leader to guide the development and growth of high-reliability, secure, and scalable data platforms.
This role combines technical expertise in data and platform engineering with strong people leadership and delivery ownership.
You will lead cross-functional teams responsible for building modern data capabilities that support analytics, AI, and machine learning initiatives.
Working at the intersection of engineering, product, and business, you will shape architecture decisions, engineering practices, and long-term platform strategy.
You will play a key role in driving an AI-first transformation while ensuring strong governance, security, compliance, and operational excellence.
This is an opportunity to influence engineering culture, develop talented teams, and build critical systems in a fast-moving technology environment.

Accountabilities:

As Engineering Manager (Data Direction), you will lead engineering teams responsible for designing, scaling, and maintaining robust data platforms. You will combine strategic leadership with technical understanding to ensure successful delivery, operational excellence, and continuous improvement.

  • Lead, mentor, and develop cross-functional data and platform engineering teams, supporting career growth and fostering a culture of ownership and collaboration.
  • Own delivery, quality, and technical outcomes for data platform initiatives, ensuring alignment with business priorities.
  • Partner with Product, Analytics, Data Science, Machine Learning, and engineering leadership to define and execute a scalable platform roadmap.
  • Drive improvements across engineering processes, including planning, estimation, CI/CD practices, testing, code reviews, and release management.
  • Contribute to architectural decisions involving modern data systems, including batch processing, streaming, lakehouse architectures, and hybrid infrastructure.
  • Ensure high availability, scalability, performance, observability, and reliability across production data pipelines and platform services.
  • Embed security, privacy, data governance, compliance, and data lineage principles into platform design and development practices.
  • Identify and reduce technical and data debt while maintaining strong delivery momentum.
  • Support hiring initiatives, team growth, and the evolution of engineering practices.
  • Promote continuous improvement through strong technical standards, effective communication, and customer-focused engineering decisions.
Requirements:

You are an experienced engineering leader with a strong foundation in software or data engineering and a passion for building reliable, scalable platforms. You combine technical depth with the ability to lead teams, influence stakeholders, and drive complex initiatives from strategy through execution.

  • 5+ years of professional experience in software engineering, data engineering, or related technical fields.
  • Proven experience leading engineering teams as an Engineering Manager, Team Lead, or similar leadership role.
  • Strong understanding of data engineering, backend systems, and data architecture principles, with the ability to contribute to technical discussions and decisions.
  • Experience delivering complex production-grade data platforms or systems in demanding environments.
  • Background working with high-reliability, regulated, or compliance-focused industries such as financial services or FinTech is highly valuable.
  • Solid knowledge of modern data platforms, including data modeling, distributed processing, pipeline orchestration, warehousing, and lakehouse technologies.
  • Hands-on experience with batch and streaming data systems, infrastructure automation, deployment strategies, and CI/CD workflows.
  • Familiarity with data observability practices, including data quality monitoring, metrics, logging, alerting, lineage, and performance optimization.
  • Strong leadership, communication, mentoring, and stakeholder management skills.

Nice-to-have experience includes:

  • Building platforms supporting AI and machine learning workloads, such as feature stores, MLOps systems, model serving, or vector and embedding solutions.
  • Designing low-latency or high-throughput data systems.
  • Experience with trading, market-data, or financial technology platforms.
  • Knowledge of data governance, security practices, regulatory compliance, PII handling, audits, and lineage management.
  • Experience scaling engineering teams and supporting organizational growth.
Benefits:
  • Remote-first working environment with flexibility across Europe.
  • Opportunity to lead impactful engineering initiatives shaping the future of data and AI capabilities.
  • High level of ownership and autonomy in technical strategy, team development, and platform evolution.
  • Collaboration with talented engineers and cross-functional teams working on complex technology challenges.
  • Opportunity to build secure, scalable systems in a high-performance and innovation-focused environment.
  • Support for professional growth through leadership opportunities and technical challenges.
  • A culture focused on engineering excellence, continuous improvement, and meaningful impact.
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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