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Machine Learning Engineer New Grad Jobs in Tallahassee, FL

Varsity Tutors

Data Science Tutor

Tallahassee, FL · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Python Tutor

Tallahassee, FL · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

AgileEngine

Senior Data Engineer ID75059

Tallahassee, FL · On-site

$91K - $124K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

AgileEngine

Senior Data Engineer ID75059

Tallahassee, FL · On-site

$100K - $136K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

AgileEngine

Senior Data Engineer ID75059

Tallahassee, FL · On-site +1

$100K - $136K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

AgileEngine

Senior Data Engineer ID75059

Boston, GA · On-site

$87K - $118K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

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Machine Learning Engineer New Grad information

See Tallahassee, FL salary details

$29.9K

$122.3K

$183.8K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer new grad in Tallahassee, FL is $122,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Tallahassee, FL?

For Machine Learning Engineer New Grad jobs in Tallahassee, FL, the most frequently searched job titles are:

What cities near Tallahassee, FL are hiring for Machine Learning Engineer New Grad jobs?

Cities near Tallahassee, FL with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you

Senior Data Scientist Contractor (1099)

WiredPeople, Inc.

Tallahassee, FL • Remote

Contractor

Posted 13 days ago

Job description

WiredPeople is looking for a senior-level Data Scientist who can operate independently to drive advanced statistical modeling, complex analytics, and research initiatives. The ideal candidate brings a unique blend of deep technical expertise, strategic consulting experience, and a proven track record of working directly with external clients, particularly government stakeholders.
In this role, you will provide analytical leadership, define technical approaches, and translate highly complex data into actionable insights for non-technical audiences. Experience working with healthcare, public health, research, or government-related data projects is highly desirable. We are currently seeking a highly skilled Senior Data Scientist Contractor (1099) to join our network and support complex analytics and research projects for our clients. 

Key Responsibilities

  • Analytical Leadership: Independently define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.

  • Advanced Statistical Modeling: Develop, validate, and productionize machine learning models, utilizing techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.

  • Client Consulting: Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.

  • Data Translation: Effectively present complex technical findings, methodologies, and actionable insights to non-technical stakeholders and decision-makers.

  • Data Management & Pipeline Development: Oversee ETL/ELT pipeline development, ensuring robust data governance, access controls, and secure handling of sensitive health and regulated datasets.

  • Technical Execution: Utilize an advanced technology stack, including Azure Databricks, R, and SQL, to build and deploy scalable data science solutions.

Must-Have Qualifications

  • Cloud & Architecture: Intermediate to Advanced experience in Microsoft Azure, specifically Azure Databricks.

  • Programming: Advanced proficiency in R and strong SQL and database management experience.

  • Machine Learning: Proven experience with ML techniques, including predictive modeling and Random Forest.

  • Data Security & Ethics: Experience handling sensitive health, research, or highly regulated datasets. Must hold a current CITI Certification (or have the ability to quickly obtain one).

  • Development Tools: Advanced R Shiny experience and familiarity with GitHub and CI/CD pipelines (highly preferred).

Preferred Senior-Level Experience

  • Education: PhD or extensive applied Data Science experience in a related field.

  • Advanced Modeling: Deep expertise in Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis.

  • Industry Experience: Prior consulting experience with external clients, particularly supporting government or public-sector clients.

Technical Environment Candidates with hands-on experience in the following technical areas will stand out:

  • Cloud Platform: Azure Databricks

  • Data Warehousing: Snowflake, PostgreSQL, or similar data warehouse environments

  • Data Engineering: ETL/ELT pipeline development

  • Databases: Relational and NoSQL databases

  • Data Management: Data governance and strict access controls

  • MLOps: Productionizing and deploying machine learning models

Additional Information

  • Job Type: Contract (1099)

  • Industry Focus: Healthcare, Public Health, Government Services

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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