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Ml Inference Jobs in Ogden, UT (NOW HIRING)

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Ml Inference information

See Ogden, UT salary details

$36.7K

$120.1K

$192.3K

How much do ml inference jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ml inference in Ogden, UT is $120,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $133,100.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What are some common challenges faced by ML inference engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What are the key skills and qualifications needed to thrive in ML inference?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.

Is ML inference a high paying job?

ML inference roles are generally well-paying, especially for those with skills in machine learning frameworks, programming, and cloud platforms. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech-related positions.
What are popular job titles related to Ml Inference jobs in Ogden, UT? For Ml Inference jobs in Ogden, UT, the most frequently searched job titles are:
What job categories do people searching Ml Inference jobs in Ogden, UT look for? The top searched job categories for Ml Inference jobs in Ogden, UT are:
What cities near Ogden, UT are hiring for Ml Inference jobs? Cities near Ogden, UT with the most Ml Inference job openings:
Ml Inference jobs near you
Infographic showing various Ml Inference job openings in Ogden, UT as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,109 per year, or $57.7 per hour.

Data Architect (Data Platform)

RXinsider LTD.

Salt Lake City, UT • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

Job Title: Data Architect (Data Platform) Job Summary

As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and financial workflows. This role focuses on structuring complex healthcare data from electronic health records (EHRs) to healthcare financial data into cohesive architectures that enable accurate reporting, analytics, and patient care insights. This role will ensure compliance with healthcare regulations such as HIPAA, implement industry standards like HL7 and FHIR for seamless data exchange, and establish strong data governance, quality, and security practices such as HITRUST. By aligning data strategy with organizational goals, this role plays a critical part in improving data accessibility, reliability, and ultimately patient outcomes.

Data Modeling & Design

You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake schemas), and designing for scalability and performance.

Database & Storage Expertise

Deep knowledge of both relational and non-relational systems is critical. This also means familiarity with data lakes, lakehouses, and distributed storage systems/warehouses (e.g., S3, Delta Lake, BigQuery)

Data Integration

Designing pipelines that move and transform data reliably. This includes experience with ETL/ELT tools (DBT), streaming systems (Kafka, Kinesis), and orchestration frameworks (Airflow, etc.) with the ability to understand batch vs. real-time tradeoffs

Performance Optimization

Indexing strategies, partitioning, query tuning, and workload. The ability to architect for scale, resiliency and business continuity.

Strategic Thinking

Beyond solving today’s problems, you will define our data strategy including:

  • Define what the future data architecture should look like
  • Determine how and where to reduce technical debt
  • Identify how to enable analytics insights, incorporate AI, and drive self-service?
Artificial Intelligence (AI)
  • Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference
  • Define and evolve data architectures that leverage AI to drive greater operational efficiency, reduce system complexity, and accelerate the ingestion and processing of healthcare data across platforms
  • Design scalable pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data availability for AI-driven insights and real-time decision support
Minimum Requirements Specific Job Skills:
  • 12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
  • 5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
  • Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
  • Extensive experience in building and driving large business outcomes by leveraging a combination of existing and new technologies.
  • A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
  • A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
  • Deep knowledge of data modeling and data governance control
  • Strong RESTful API design principle, microservices architecture, distributed asynchronous system and good design patterns
  • Strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
  • Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non-technical stakeholders.
  • Proven problem-solving ability with a focus on delivering solutions
  • Positive attitude: Maintaining a constructive approach to work challenges.
Language Skills

Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.

Physical Capabilities: Standard categories

The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

RevSpring does not discriminate against any group in hiring or employment practices.

Nothing in this job description constitutes a contract for employment.

Note:

This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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