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Freelance Machine Learning Engineer Jobs in Logansport, IN

Engineering and Engineering Services Job Summary: The I&E Maintenance Technician provides technical ... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ...

Director EHS

Kokomo, IN · On-site

$90 - $120/hr

Bachelor's Degree in Environmental Management, Engineering or Chemistry; Class "C" Wastewater ... Participate in the design and delivery of learning opportunities for personnel with the purpose of ...

Bachelor's Degree in Environmental Management, Engineering or Chemistry; Class "C" Wastewater ... Participate in the design and delivery of learning opportunities for personnel with the purpose of ...

... machine downtime Lead mechanical staff in repairs or rebuild of equipment as needed to avoid ... equivalent-Engineering discipline preferred OSHA 30 Electrical Maintenance experience required ...

... machine downtime Lead mechanical staff in repairs or rebuild of equipment as needed to avoid ... equivalent-Engineering discipline preferred OSHA 30 Electrical Maintenance experience required ...

Freelance Machine Learning Engineer information

See Logansport, IN salary details

$13

$44

$122

How much do freelance machine learning engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for freelance machine learning engineer in Logansport, IN is $44.04, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $57.02 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

What are the key skills and qualifications needed to thrive as a freelance machine learning engineer?

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

What is the difference between Freelance Machine Learning Engineer vs Data Scientist?

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are popular job titles related to Freelance Machine Learning Engineer jobs in Logansport, IN?

For Freelance Machine Learning Engineer jobs in Logansport, IN, the most frequently searched job titles are:

What cities near Logansport, IN are hiring for Freelance Machine Learning Engineer jobs?

Cities near Logansport, IN with the most Freelance Machine Learning Engineer job openings:

Infographic showing various Freelance Machine Learning Engineer job openings in Logansport, IN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,603 per year, or $44 per hour.

Tenured/Tenure-track Faculty Position in Mathematical Artificial Intelligence

Indiana University Academic Positions

Kokomo, IN

Full-time

Posted 2 days ago

New


Job description

Position Details
Title Tenured/Tenure-track Faculty Position in Mathematical Artificial Intelligence Appointment Status Tenure Department IU Bloomington Vice Provost For Faculty Affairs Location Bloomington Position Summary
As part of Indiana University Bloomington's Faculty 100 initiative, the Department of Mathematics in the College of Arts and Sciences invites applications for an open-rank position (Assistant, Associate, or Full Professor) to begin in Fall 2027. These are 10-month appointments, ideally beginning August 1, 2027.

We seek an outstanding mathematician whose research engages substantially with artificial intelligence, data science, or scientific machine learning. The successful candidate will have a primary appointment in Mathematics and opportunities to collaborate broadly with faculty in the Luddy School of Informatics, Computing, and Engineering, Data Science, Statistics, the Institute for Scientific Computing and Applied Mathematics, and scientific units across our campus.

We are particularly interested in researchers working in mathematical artificial intelligence, broadly construed. This includes, but is not limited to: machine learning algorithms, formal proof assistants, and large language models.

Areas of interest for possible collaborations include but are not limited to: topological data analysis and topological machine learning; AI-assisted theorem proving, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure-aware learning; and the mathematical foundations of trustworthy AI, including stability, robustness, verification, interpretability, and generalization.

Candidates whose work connects rigorous mathematics with modern computation and complements departmental strengths in topology, algebraic topology, analysis, partial differential equations, geometric analysis, probability, logic, formal methods, and experimental mathematics will be given preference. We encourage applications from scholars who apply interdisciplinary perspectives across a variety of these domains.
Responsibilities: Candidates are expected to sustain an active, externally funded research program, to engage undergraduate and graduate students through effective teaching and mentoring, to contribute to curricular development in mathematical AI as described above, and to participate in service to the university and the profession. Candidates should be able to work effectively in a team environment and to build connections between mathematics, the joint B.S. program with Luddy Data Science, and AI- and data-intensive research across campus. To advance scholarly innovation and excellence, we especially welcome candidates whose demonstrated experience, research, teaching, and mentoring will support the university's commitment to an inclusive academic community.
Application Procedures: All applicants should apply online at https://indiana.peopleadmin.com/postings/34236 and also at https://www.mathjobs.org/jobs/list/28843through which all materials are requested. Materials required include: a cover letter of application stating rank sought; CV; and statements on research and teaching. Also required are three letters of reference. Applicants seeking appointment with tenure should provide an additional three names of potential references from which the department may later solicit additional letters.
Full consideration date. For full consideration, applications should be received by November 7, 2026. Review of applications will begin immediately thereafter.
Before any conditional offer of employment with tenure is finalized, candidates will be asked to disclose any pending investigations or previous findings of sexual or professional misconduct. They will also be required to authorize an inquiry by Indiana University Bloomington with all current and former employers along these lines. The relevance of information disclosed or ascertained in the context of this process to a candidate's eligibility for hire will be evaluated by Indiana University Bloomington on a case-by-case basis. Applicants should be aware, however, that Indiana University Bloomington takes the matters of sexual and professional misconduct very seriously.

About Indiana University Bloomington:
Founded in 1820, Indiana University-Bloomington (IUB) is the flagship campus of Indiana University. Located in Bloomington, IN., IUB constantly strives to embody its mission to create, disseminate, preserve, and apply knowledge. It does so through its commitments to cutting-edge research, scholarship, arts, and creative activity; inspired and challenging undergraduate, graduate, professional, and lifelong educational programs; meaningful experiences outside the classroom; expansive global educational opportunities; first-rate library and museum collections; and far-reaching economic development and impact in the state and region.
IUB is a member of the prestigious Association of American University (AAU) since 1909, is accredited by the Higher Learning Commission and is a member of the North Central Association. With over 47,000 undergraduate and graduate students, the campus has 16 degree-granting colleges and schools offering 300+ undergraduate majors, 300+ Master's degrees, and 150+ doctoral and professional degree opportunities. Known for its Indiana limestone facades and green spaces throughout, IUB is widely considered one of the country's most beautiful college campuses.

The College of Arts and Sciences at Indiana University offers over 225 academic programs rooted in three broad areas of study-Arts and Humanities, Natural and Mathematics Sciences, and Social and Historical Studies. The College is home to over 70 departments and programs and three schools-the Eskenazi School of Art, Architecture + Design, the Hamilton Lugar School of Global and International Studies, and The Media School. Over 900 faculty members serve within the College and form an extraordinary teaching and learning community at the heart of a world-class university. Members of the College's faculty are continually recognized as elected fellows of the American Academy of Arts and Sciences, the National Academies, the American Association for the Advancement of Science, and include MacArthur and Guggenheim Fellows, Fulbright Award winners, and Pulitzer Prize, Oscar, and Emmy winners.

The Department of Mathematics at Indiana University Bloomington supports research and teaching across pure and applied mathematics. Its strengths in topology, algebraic topology, analysis, partial differential equations, geometric analysis, logic, formal methods, and experimental mathematics provide a strong foundation for this position. The successful candidate will help connect these strengths to a developing course in topological data analysis, the new joint B.S. major with Luddy Data Science, undergraduate research, graduate training, and campus collaborations in AI, data science, and scientific computing.

The Luddy School of Informatics, Computing, and Engineering at Indiana University is the first of its kind and among the largest in the country. Its mission is to excel and lead in education, research, and outreach spanning and integrating the full breadth of computing, information technology and modern engineering. The Luddy School is a core school with programs on the Bloomington and Indianapolis campus and includes over 150 faculty and 3100 students. Departments in the Luddy School's Bloomington campus include Computer Science, Information and Library Science, Informatics, and Intelligent Systems Engineering.

Nestled in the rolling hills of south-central Indiana, and home to 85,000 residents, the city of Bloomington offers the feel of a college town with many of the amenities of a large city. From off-Broadway plays and musicals, the LOTUS World Festival of Music, quick access to 250,000 acres of public recreation lands, outstanding public schools and a reasonable cost of living, Bloomington offers much to all.
Basic Qualifications
Qualifications: Applicants should possess a PhD in Mathematics, Applied Mathematics, or a closely related field by the date of appointment and be committed to excellence in scholarship and teaching at the undergraduate and graduate levels. Appointment with tenure requires a record of research, teaching, and service appropriate for tenure at Indiana University Bloomington.
Department Contact for Questions
All queries about the position or the application procedures may be addressed to Chair Kevin Pilgrim pilgrim@iu.edu with cc to Dr. Cindy Broderick, search coordinator, at faculty1@indiana.edu.
Additional Qualifications Salary and Rank Special Instructions For Best Consideration Date 11/07/2026 Expected Start Date Posting Number IU-101659-2026