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Ml Inference Jobs in Gainesville, FL (NOW HIRING)

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Ml Inference information

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$34K

$111.2K

$178K

How much do ml inference jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ml inference in Gainesville, FL is $111,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $123,200.00 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 Gainesville, FL?

For Ml Inference jobs in Gainesville, FL, the most frequently searched job titles are:

What cities near Gainesville, FL are hiring for Ml Inference jobs?

Cities near Gainesville, FL with the most Ml Inference job openings:

Ml Inference jobs near you

Postdoctoral Associate

University of Florida

Gainesville, FL • On-site

$61K - $65K/yr

Full-time

Re-posted 21 days ago

University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

385th of 618 rated colleges and universities

Job description

Postdoctoral Associate
Job no: 540794
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Health Care Administration/Support
Department:29240101 - MD-HOBI-GENERAL
Classification Title:
Postdoctoral Associate
Classification Minimum Requirements:
The Division of Biomedical Informatics and Data Science within the Department of Health Outcomes and Biomedical Informatics (HOBI) at the University of Florida (UF) is seeking a highly motivated Postdoctoral Researcher with a strong background in biomedical informatics, artificial intelligence, machine learning, or data science. The successful candidate will join a collaborative and interdisciplinary research team to contribute to cutting-edge research at the intersection of AI/ML, real-world data, and health outcomes. Ongoing projects leverage large-scale multimodal clinical data, including electronic health records (EHRs), medical imaging, genomics, wearable devices, and unstructured clinical text, to develop novel methods for disease prediction, precision medicine, and clinical decision support.
Applicants must have a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with causal inference, real-world evidence, multimodal data integration, or cloud/high-performance computing is a plus.
The Postdoctoral Researcher will collaborate closely with biomedical informaticians, clinicians, statisticians, and translational researchers across the University of Florida. Responsibilities include developing and evaluating AI/ML methods, analyzing large-scale clinical datasets, building computational tools and software, preparing manuscripts for publication in high-impact journals, presenting research at scientific conferences, and contributing to NIH and other federal grant proposals. The position offers excellent opportunities to lead research projects, publish extensively, develop new methodological expertise, and establish an independent research program within a highly collaborative and well-funded research environment.
• Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, biostatistics, or a related quantitative STEM field.
• Strong programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable.
• Demonstrated research experience in biomedical informatics, artificial intelligence (AI), machine learning, or data science, including the analysis of large-scale biomedical or healthcare datasets (e.g., electronic health records, medical imaging, genomics, or other real-world data).
• Excellent written and oral communication skills.
• Ability to work effectively in a collaborative, multidisciplinary research environment.
Job Description:
Conduct independent and collaborative research in biomedical informatics, including the development and application of artificial intelligence (AI), machine learning (ML), and statistical methods to analyze large-scale, multimodal clinical data (e.g., electronic health records, medical imaging, genomics, wearable data, and unstructured clinical text). Design, implement, validate, and optimize computational methods and analytical pipelines to address clinically relevant research questions.
Develop, implement, and maintain research software, data processing pipelines, and computational tools to support data integration, extraction, transformation, quality assurance, and analysis. Contribute to reproducible research practices, software documentation, and code sharing.
Participate in the design, execution, analysis, and dissemination of research studies. Prepare scientific manuscripts, conference presentations, technical reports, and other scholarly products. Contribute to the interpretation of findings and collaborate with multidisciplinary teams on the publication of research results.
Expected Salary:
$61,008 - $65,000
Required Qualifications:
• Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, biostatistics, or a related quantitative STEM field.
• Strong programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable.
• Demonstrated research experience in biomedical informatics, artificial intelligence (AI), machine learning, or data science, including the analysis of large-scale biomedical or healthcare datasets (e.g., electronic health records, medical imaging, genomics, or other real-world data).
• Excellent written and oral communication skills.
• Ability to work effectively in a collaborative, multidisciplinary research environment.
Preferred:
  • Experience working with electronic health records (EHRs), real-world data (RWD), clinical data warehouses, or other healthcare databases.
  • Experience developing and applying machine learning, deep learning, natural language processing (NLP), computer vision, or large language models (LLMs) for biomedical or healthcare research.
  • Experience integrating and analyzing multimodal data, including structured EHR data, clinical text, medical imaging, genomics, wearable devices, or other biomedical data sources.
  • Familiarity with causal inference, statistical learning, clinical prediction modeling, or real-world evidence methodologies.
  • Experience developing reproducible research software, computational pipelines, or open-source tools using modern software engineering practices (e.g., Git/GitHub, Docker, workflow management).
  • Evidence of scholarly productivity through peer-reviewed publications and presentations at scientific conferences.
  • Experience working on NIH-funded or other federally funded research projects and contributing to grant proposal development.

Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:No
Advertised: 05 Aug 2026 Eastern Daylight Time
Applications close: 31 Aug 2026 Eastern Daylight Time
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

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Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853

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