They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
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 ...
Senior Machine Learning Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
Creating, managing, maintaining, and refactoring ML codebases, pipelines, and workflows for the ... learning, and machine learning. * Independently execute in the face of ambiguity * Leads ...
Senior Machine Learning Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
Creating, managing, maintaining, and refactoring ML codebases, pipelines, and workflows for the ... learning, and machine learning. * Independently execute in the face of ambiguity * Leads ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Senior Machine Learning Engineer
Sandy, UT · On-site
$113K - $150K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ ...
Senior Machine Learning Engineer
Sandy, UT · On-site
$113K - $150K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · On-site
$90K - $135K/yr
... Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ... The arrangement will be established in partnership with the manager and is subject to ongoing ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · On-site
$90K - $135K/yr
... Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ... The arrangement will be established in partnership with the manager and is subject to ongoing ...
Develop and enhance the machine learning platform to manage the full model life cycle * Build frameworks and tools to enable the data science team developing and enhancing predictive models, support ...
Develop and enhance the machine learning platform to manage the full model life cycle * Build frameworks and tools to enable the data science team developing and enhancing predictive models, support ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in ... Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability ...
Quick apply
We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in ... Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability ...
Responsibilities : • Develop and enhance the machine learning platform to manage the full model life cycle • Build frameworks and tools to enable the data science team developing and enhancing ...
Responsibilities : • Develop and enhance the machine learning platform to manage the full model life cycle • Build frameworks and tools to enable the data science team developing and enhancing ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · Hybrid
$90K - $135K/yr
... Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ... The arrangement will be established in partnership with the manager and is subject to ongoing ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · Hybrid
$90K - $135K/yr
... Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level ... The arrangement will be established in partnership with the manager and is subject to ongoing ...
Sr. Data Scientist
Lehi, UT · On-site
Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...
Sr. Data Scientist
Lehi, UT · On-site
Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...
CTIO AI Engineering Manager
$73K - $244K/yr
Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...
CTIO AI Engineering Manager
$73K - $244K/yr
Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...
Sr. Data Scientist
Lehi, UT · On-site
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...
Sr. Data Scientist
Lehi, UT · On-site
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...
Data Scientist
Lehi, UT · On-site
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
Data Scientist
Lehi, UT · On-site
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
Machine Learning Manager information
See Herriman, UT salary details
$48.4K - $54.1K
10% of jobs
$54.1K - $59.9K
14% of jobs
$61.3K is the 25th percentile. Wages below this are outliers.
$59.9K - $65.7K
6% of jobs
$65.7K - $71.5K
10% of jobs
The median wage is $75.1K / yr.
$71.5K - $77.2K
17% of jobs
$77.2K - $83K
15% of jobs
$85.5K is the 75th percentile. Wages above this are outliers.
$83K - $88.8K
9% of jobs
$88.8K - $94.5K
4% of jobs
$94.5K - $100.3K
6% of jobs
$100.3K - $106.1K
5% of jobs
$106.1K - $111.9K
4% of jobs
$48.4K
$77.5K
$111.9K
How much do machine learning manager jobs pay per year?
As of Jul 29, 2026, the average yearly pay for machine learning manager in Herriman, UT is $77,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $87,700.00 per year, depending on experience, location, and employer.
Will MLE be replaced by AI?
Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.
What are some of the main challenges a Machine Learning Manager faces when leading a team?
A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.
What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?
To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.
Is ML a high paying job?
Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.
Which 3 jobs will survive AI?
Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.
What are Machine Learning Managers?
Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are popular job titles related to Machine Learning Manager jobs in Herriman, UT? For Machine Learning Manager jobs in Herriman, UT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Herriman, UT look for? The top searched job categories for Machine Learning Manager jobs in Herriman, UT are:
What cities near Herriman, UT are hiring for Machine Learning Manager jobs? Cities near Herriman, UT with the most Machine Learning Manager job openings:
Full-time
Re-posted 22 days ago
Job description
Job Summary:
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
• Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
• Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
• Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
• Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
• Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
• Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
• Comfortable building ML infrastructure
• Experience working with large amounts of text data, NLP, or training LLMs
• Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
• Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
• Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
• Ability to manage own compute cluster
• Ability to maximize GPU utilization and keep cluster busy 24/7
• Ability to analyze model results and kick off new experiments in response
• Experience with BERT or similar language models in PyTorch.
• Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
• Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
• Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
• Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
• Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
• Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
• Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
• Comfortable building ML infrastructure
• Experience working with large amounts of text data, NLP, or training LLMs
• Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
• Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
• Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
• Ability to manage own compute cluster
• Ability to maximize GPU utilization and keep cluster busy 24/7
• Ability to analyze model results and kick off new experiments in response
• Experience with BERT or similar language models in PyTorch.
• Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.