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Machine Learning Engineer Apprenticeship Jobs in Sandy, UT

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 ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Sandy, UT ยท Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Senior Machine Learning Engineer

Sandy, UT ยท On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using ...

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Machine Learning Engineer Apprenticeship information

See Sandy, UT salary details

$29K

$65.2K

$109.8K

How much do machine learning engineer apprenticeship jobs pay per year?

As of Aug 5, 2026, the average yearly pay for machine learning engineer apprenticeship in Sandy, UT is $65,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $70,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
Infographic showing various Machine Learning Engineer Apprenticeship job openings in Sandy, UT as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 84% In-person, 2% Hybrid, and 14% Remote job distribution, with an average salary of $65,204 per year, or $31.3 per hour.

Machine Learning Engineer

Leash Bio

Salt Lake City, UT โ€ข On-site

Full-time

Re-posted 29 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:
โ€ข Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
โ€ข Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
โ€ข Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
โ€ข Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
โ€ข Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
โ€ข Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
โ€ข Comfortable building ML infrastructure
โ€ข Experience working with large amounts of text data, NLP, or training LLMs
โ€ข Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
โ€ข Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
โ€ข Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
โ€ข Ability to manage own compute cluster
โ€ข Ability to maximize GPU utilization and keep cluster busy 24/7
โ€ข Ability to analyze model results and kick off new experiments in response
โ€ข Experience with BERT or similar language models in PyTorch.
โ€ข 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.