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Privacy Preserving Machine Learning Jobs in Missouri

Jobgether

Lead and mentor a team of engineers working across data platforms and machine learning operations ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Leggett & Platt

Machine Assembler

Carthage, MO · On-site

$15.25 - $19.25/hr

Put People First reflects our commitment to safety and care of each other, learning and development ... Privacy Notice" tab located at

Jobgether

Deploy and support machine learning workloads while assisting with lifecycle management across ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

The Boeing Company

Experienced Data Scientist

Hazelwood, MO · On-site

$128.35 - $173.65/hr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

New

Boeing

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Experienced Data Scientist

Hazelwood, MO

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Senior Data Scientist

Hazelwood, MO

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Associate Engineering Data Scientist

Hazelwood, MO

$55K - $56K/yr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Senior Data Scientist

Hazelwood, MO

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

Boeing

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

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Showing results 21-40

All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Missouri

Privacy Preserving Machine Learning information

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What job categories do people searching Privacy Preserving Machine Learning jobs in Missouri look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Privacy Preserving Machine Learning jobs? Cities in Missouri with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you

Engineering Manager, Data Platform & ML Ops

Jobgether

On-site, Remote

Full-time

Posted 5 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 Platform & ML Ops based in Netherlands.

This role offers the opportunity to lead a high-performing engineering team building the foundation for advanced data and machine learning capabilities.
You will oversee critical platforms that power analytics, intelligent products, and scalable ML operations.
The position combines technical leadership, people management, and strategic decision-making in a fast-moving environment.
You will guide engineers, influence architecture, and establish best practices across data infrastructure and ML systems.
Working closely with cross-functional teams, you will transform complex data challenges into impactful solutions.
This is an ideal opportunity for an experienced engineering leader passionate about innovation, reliability, and team growth.

Accountabilities:

As an Engineering Manager, you will lead the development and evolution of data platforms and ML operations capabilities while supporting engineering excellence and business impact. You will be responsible for building strong teams, driving technical strategy, and ensuring reliable systems that enable data-driven products.

  • Lead and mentor a team of engineers working across data platforms and machine learning operations.
  • Own the reliability, scalability, and continuous improvement of internal data infrastructure supporting analytics and product initiatives.
  • Oversee the complete ML lifecycle, including experimentation, training pipelines, model deployment, and production monitoring.
  • Provide technical guidance by contributing to architecture discussions, reviewing solutions, and helping teams make effective engineering decisions.
  • Collaborate with data scientists, product managers, analysts, and engineering leaders to turn data and ML investments into measurable outcomes.
  • Establish engineering standards, processes, and best practices across data engineering and ML operations.
  • Support team development through coaching, feedback, knowledge sharing, and career growth opportunities.
  • Drive innovation and continuous improvement within a rapidly evolving technical environment.
Requirements:

The ideal candidate is an experienced engineering leader with a strong background in data engineering, ML engineering, or related software engineering disciplines. You should combine technical expertise with proven people leadership skills and the ability to deliver scalable, reliable solutions.

  • At least 2 years of experience managing engineering teams focused on data platforms, machine learning, or related technologies.
  • 5+ years of professional experience in data engineering, ML engineering, or software engineering roles, preferably within SaaS environments.
  • Strong understanding of both data infrastructure and machine learning systems, with the ability to provide technical direction across both areas.
  • Experience leading engineers across multiple technical disciplines and supporting high-performing teams.
  • Proven ability to deliver reliable data products and platforms with a focus on quality, scalability, and user impact.
  • Experience driving technical change and innovation in fast-paced, growing organizations.
  • Familiarity with analytical storage technologies such as ClickHouse, Databricks, Snowflake, or BigQuery.
  • Experience with ML lifecycle tools, including training pipelines, model serving, and production monitoring.
  • Knowledge of cloud-based data and ML infrastructure, particularly AWS environments.
  • Strong communication, collaboration, and stakeholder management skills.
Benefits:
  • Remote-friendly work environment with flexibility to work from your preferred location.
  • Competitive compensation package aligned with experience, skills, and market conditions.
  • Opportunity to work on advanced data and machine learning systems at significant scale.
  • Chance to lead and grow a talented engineering team while shaping technical strategy.
  • Exposure to modern technologies across data platforms, ML operations, and cloud infrastructure.
  • Inclusive workplace culture that values diverse perspectives and backgrounds.
  • Professional growth opportunities through continuous learning and technical challenges.
  • Opportunity to contribute to innovative products focused on solving complex real-world problems.
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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