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Director Machine Learning Jobs in Missouri (NOW HIRING)

SINCLAIR & RUSH

Machine Tool Technician

Arnold, MO · On-site

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

SINCLAIR & RUSH

Machine Tool Technician

Arnold, MO

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

Sinclair & Rush

Machine Tool Technician

Arnold, MO · On-site

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

Sinclair & Rush

Machine Tool Technician

Arnold, MO · On-site

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

Jobtailor

Head of AI Clinical Excellence

California, MO · On-site

$180 - $240/hr

Experience designing, developing, and implementing AI, machine learning, or advanced analytics solutions in clinical research settings * Experience supporting Clinical Development, Clinical ...

Walmart

Group Director, Software Engineering

Anderson, MO · On-site

$195K - $370K/yr

The Group Director of Financial Planning & Analysis Systems will lead a globally distributed team ... Deep expertise in Machine Learning, Generative AI, and semantic routing architectures applied to ...

Walmart

Group Director, Software Engineering

Cassville, MO · On-site

$195K - $370K/yr

The Group Director of Financial Planning & Analysis Systems will lead a globally distributed team ... Deep expertise in Machine Learning, Generative AI, and semantic routing architectures applied to ...

Walmart

Group Director, Software Engineering

Noel, MO · On-site

$195K - $370K/yr

The Group Director of Financial Planning & Analysis Systems will lead a globally distributed team ... Deep expertise in Machine Learning, Generative AI, and semantic routing architectures applied to ...

RELX

Sr Director Software Engineering

Saint Louis, MO

$156K - $290K/yr

Driven technology leader entrusted with maintaining the psychological safety of both direct and ... Evaluating emerging technologies, including Generative AI and machine learning, to improve learning ...

Elsevier

Sr Director Software Engineering

Saint Louis, MO · On-site

$156K - $290K/yr

Driven technology leader entrusted with maintaining the psychological safety of both direct and ... Evaluating emerging technologies, including Generative AI and machine learning, to improve learning ...

Nestlé S.A.

Expert Data Scientist

Saint Louis, MO · On-site

$130 - $188/hr

... direct consumer engagement, and translating emerging AI technologies into measurable business results. * Lead the development and deployment of advanced machine learning, optimization, and AI ...

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Showing results 41-60

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Missouri

Director Machine Learning information

See Missouri salary details

$33.8K

$86.2K

$132.3K

How much do director machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for director machine learning in Missouri is $86,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $99,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Missouri? The most popular types of Machine Learning jobs in Missouri are:
What are popular job titles related to Director Machine Learning jobs in Missouri? For Director Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Missouri look for? The top searched job categories for Director Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Director Machine Learning jobs? Cities in Missouri with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,233 per year, or $41.5 per hour.

Applied Data Scientist - Vehicle Prognostics

Jobtailor

Dearborn, MO • On-site

$110 - $160/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Own the process for prognostic feature development from conceptual to feature deployment to our production vehicles.
  • Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with advanced machine learning to develop hybrid, high-fidelity prognostic models that capture complex degradation behaviors across both EV and ICE powertrains.
  • Architect Prognostics & RUL Frameworks: Design and deploy state-of-the-art prognostics models to accurately estimate the Remaining Useful Life (RUL) of critical vehicle subsystems, transforming noisy fleet data into actionable maintenance alerts.
  • Deploy Edge Models in C++: Translate complex predictive models into highly optimized, low-latency C++ code, bridging the gap between cloud-based data science and resource-constrained on-board vehicle electronic control units (ECUs).
  • Harness High-Frequency Signal Processing: Architect custom Digital Signal Processing (DSP) pipelines and time-series analytics to extract clean, high-frequency physical signatures from multi-sensor vehicle networks, isolating early-stage wear patterns before they manifest as failures.
  • Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi-sensor anomaly detection frameworks capable of real-time Fault Detection and Isolation (FDI) to ensure vehicle safety, system redundancy, and fault-tolerant control.
  • Apply Statistical Causal Inference: Leverage advanced statistical methods (including causal inference, multivariate analysis, ANOVA, and PCA) to differentiate between mere correlation and true physical root causes of component degradation across massive, connected vehicle fleets.
  • Own the End-to-End Pipeline (HIL to Production): Direct the entire prognostic lifecycle—moving seamlessly from mathematical conceptualization and simulation in MATLAB/Simulink to physical validation on Hardware-in-the-Loop (HIL) benches, prototype vehicles, and ultimately to production vehicle deployment.
  • Synthesize Deep Subsystem Domain Knowledge: Partner closely with EV and ICE component subject matter experts to translate deep physical domain knowledge (thermal, mechanical, chemical, and electrical) into robust on-board and off-board diagnostics.
  • Build Scale with Big Data & Calibration Tools: Ingest and process large-scale telemetry data using Python, SQL, Spark, and Hadoop, while leveraging industry-standard calibration tools (such as ATI and ETAS) to fine-tune algorithms for real-world driving environments. Interact with subject matter experts to understand component/system functions, leverage existing connected vehicle data to model on-board and off-board prognostics algorithms.
  • Operate cross-functionally to ensure successful code implementation on production vehicles.
Requirements
  • Bachelor's in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience
  • 4+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc.
  • 3+ Experience with Python (and related modules), SQL
  • Experience with embedded controls, onboard Diagnostic, Sensor Processing, General First Principles Physics Modeling and simulation using numerical computational tool (e.g. MATLAB, ATI, Simulink)
  • Experience with Digital Signal Processing (DSP) data structures, algorithms, and software engineering principles
  • Self-motivated, strong analytical, excellent interpersonal and communication skills required
  • Even better, you may have...
  • Master's or PhD in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience
  • Experience in Dynamic Systems, Control, Robotics, Prognostics and Health Management
  • Familiarity working with Automotive prognostics feature development using connected vehicle data.
  • 2+ Experience in application of statistical and machine learning methods e.g., ANOVA, PCA, clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc.
  • Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.
  • Experience in software development for automotive controls with hands on experience using MATLAB for large scale data and understanding of programming fundamentals and experience with C++ programming in embedded environments. ATI and ETAS calibration tool familiarity
  • Excellent verbal and written skills. Highly credible in organizational, time management, decision making and problem-solving skills.
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