1

Machine Learning Engineer New Grad Jobs in Newberry, FL

Establishing engineering standards, architecture governance, security, scalability, and operational ... Evaluating emerging technologies, including Generative AI and machine learning, to improve learning ...

We believe different perspectives drive creativity, so we invest in learning together and ... Assess supplier readiness for new product introductions, changes, or transfers * Identify and ...

We believe different perspectives drive creativity, so we invest in learning together and ... Assess supplier readiness for new product introductions, changes, or transfers * Identify and ...

Ability to explain statistical modeling techniques, machine learning basics, and business ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

CNC Programmer

Gainesville, FL · On-site

$30 - $35/hr

We are seeking a skilled CNC Programmer to support daily machining operations through hands-on ... new processes, tooling, and equipment * Support engineering and programming teams on continuous ...

Statics Tutor

Gainesville, FL · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Replit Tutor

Gainesville, FL · Remote

$18 - $40/hr

Emphasizes accessible development without local setup and connects Replit to learning programming ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Showing results 41-60

Machine Learning Engineer New Grad information

See Newberry, FL salary details

$26.2K

$107K

$160.8K

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

As of Aug 30, 2026, the average yearly pay for machine learning engineer new grad in Newberry, FL is $107,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $128,800.00 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 Newberry, FL?

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

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

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

Infographic showing various Machine Learning Engineer New Grad job openings in Newberry, FL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,020 per year, or $51.5 per hour.

Sr Director Software Engineering

RELX

Gainesville, FL

$156K - $290K/yr

Full-time

Re-posted 24 days ago


Job description

Are you a collaborative innovative leader looking to work for a mission driven global organization?

About the role; Driven technology leader entrusted with maintaining the psychological safety of both direct and indirect reports. Entrusted with the speed to delivery for multiple products within our Nursing Health Education suite of products.

About the team; This is within our strategic healthcare businesses focused on preparing nursing students, supporting nursing faculty, and helping healthcare organizations develop and retain nurses. It sits within Elsevier's broader Health division and has become an increasingly important growth area as nursing shortages and AI-enabled education reshape healthcare.

Responsibilities

  • Leading multiple technology teams across Elsevier Health Education, under Health Markets responsible for the design, development, delivery, and operation of scalable software solutions supporting strategic business objectives of building innovation products for Nursing and Medical Education.
  • Providing technical and organizational leadership across product and engineering domains, driving execution, operational excellence, modernization, and continuous improvement.
  • Partnering closely with product, architecture, data, quality, and business stakeholders to align technology investments with business priorities while fostering a culture of innovation, collaboration, and talent development.
  • Developing and executing multi-year technology roadmaps aligned with Elsevier Health Education's strategic objectives.
  • Driving cloud modernization, platform consolidation, API-first architecture, and AI-enabled product capabilities across Nursing and Medical Education platforms.
  • Establishing engineering standards, architecture governance, security, scalability, and operational best practices across multiple teams.
  • Evaluating emerging technologies, including Generative AI and machine learning, to improve learning experiences and accelerate product innovation.
  • Building, mentoring, and leading high-performing engineering managers and technical leaders across geographically distributed teams.
  • Creating a culture focused on engineering excellence, innovation, accountability, continuous learning, and inclusion.
  • Driving workforce planning, succession planning, organizational design, and leadership development.

Requirements

  • Demonstrated ability to build and lead high-performing, cross-functional teams.
  • Experience in healthcare / education technology or another regulated, data-sensitive domain.
  • Fluency with AI-assisted development (e.g. Claude Code, Copilot) and how to adopt it responsibly across teams.
  • Familiarity with data governance frameworks in a compliance-heavy environment.
  • Extensive technical judgment - can go deep on architecture, then zoom out to strategy.
  • Experience partnering with Product and UX to deliver customer-facing outcomes across diff time zone

Elsevier employs 10,000people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress.

Digital solutions such asScienceDirect, Scopus, SciVal,ClinicalKeyandSherpathsupport strategicresearch management,R&D performance,clinical decision support, medical education, andnursing education. Researchers and healthcare professionals rely on over 2,800 journals, includingThe LancetandCell; 46,000+ eBook titles; and iconic reference works, such asGray's Anatomy. With theElsevier Foundationand our externalInclusion & Diversity Advisory Board, we work in partnership with diverse stakeholders to advanceinclusion and diversityin science, researchand healthcare in developing countries and around the world.

U.S. National Base Pay Range: $156,700 - $290,900. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.