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Machine Learning Jobs in Florence, SC (NOW HIRING)

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Machine Learning information

See Florence, SC salary details

$24.7K

$41.2K

$85.1K

How much do machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning in Florence, SC is $41,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,500.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Florence, SC? The most popular types of Machine Learning jobs in Florence, SC are:
What are popular job titles related to Machine Learning jobs in Florence, SC? For Machine Learning jobs in Florence, SC, the most frequently searched job titles are:
What cities near Florence, SC are hiring for Machine Learning jobs? Cities near Florence, SC with the most Machine Learning job openings:

Acute Inpatient Registered Nurse - RN

Fesenius Medical Care

Florence, SC

Full-time

Posted 16 days ago


Job description

PURPOSE AND SCOPE:

The professional registered nurse Inpatient Services RN CAP 1 is an entry level designation into the Clinical Advancement Program (CAP). This position is accountable and responsible for the provision and coordination of clinically competent care including assessment, planning, intervention and evaluation for an assigned group of patients. This may include delegation of appropriate tasks to direct patient care staff including but not limited to RNs, LVN/LPNs and Patient Care Technicians. As a member of the kidney disease health care team, this position participates in decision-making, teaching, leadership functions, and quality improvement activities that enhance patient care outcomes and program operations.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

All duties and responsibilities are expected to be performed in accordance with Fresenius Kidney Care, policy, procedures, standards of nursing practice, applicable contractual service agreements, state and federal regulations.

Performs all essential functions under the direction of the Supervisor and with guidance from the Educator, Preceptor or in collaboration with another Registered Nurse.

Performs ongoing, systematic collection and analysis of patient data pre - during - post treatment for assigned patients and documents in the patient medical record, makes adjustments and modifications to treatment plan as indicated and notifies Supervisor, Physician, patient's primary nurse and others as may be indicated.

Assesses, collaborates and documents patient/family's basic learning needs to provide initial and ongoing education to patients and family.

Recognizes aspects and implications of patient status that vary from normal and reports to or collaborates with appropriate health team members for input including but not limited to Supervisor, appropriate physician, and the contracted facility primary Nurse.

Directs and provides safe effective patient care for assigned patients as prescribed for all modality specific treatment procedures.

Assesses daily assigned patient care needs and collaborates with direct and ancillary patient care staff as needed.

Initiates and coordinates communication with FKC and Non-FKC dialysis providers and appropriate contracted facility personnel as needed to provide continuity of patient care.

Performs the implementation, administration, monitoring, and documentation of patient's response to prescribed intradialytic transfusions, including appropriate notification of adverse reactions to physician and appropriate blood supplier.

Administers medications as prescribed and documents appropriate medical justification and effectiveness.

Initiates and assists with emergency response measures.

Serves as a resource for health care team, participates in staff training and orientation of new staff as assigned.

May be asked to provide specialized nursing care instruction to hospital/facility staff as stipulated contractually.

May be assigned to assist in an Outpatient facility on an as needed basis.

Required to complete CAP requirements to advance.

Performs all other duties as assigned by Supervisor.

PHYSICAL DEMANDS AND WORKING CONDITIONS:

The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The position provides direct patient care that regularly involves heavy lifting, moving of patients and assisting with ambulation. Equipment aids and/or coworkers may provide assistance.

This position requires frequent, prolonged periods of standing and the employee must be able to bend over.

The employee may occasionally be required to move, with assistance, machines and equipment of up to 200 lbs., and may lift chemical and water solutions of up to 30 lbs. as high as 5 feet.

The work environment is characteristic of a health care facility with air temperature control and moderate noise levels.

May be exposed to infectious and contagious diseases/materials.

May be asked to provide essential functions of this position in other locations with the same physical demands and working conditions as described above.

Day to day work includes, desk work, computer work, interaction with patients, facility/hospital staff and physicians.

The position requires travel to training/meeting sites and between assigned facilities.

Position requires participation in on-call rotation, night, weekend, holiday or as defined by individual program needs.

SUPERVISION:

Assigned oversight of Patient Care Technicians/LVN/LPNs/RNs as a designated Nurse in Charge, after meeting all the following:

Successful completion of all FKC education and modality specific training requirements for new employees.

Must have a minimum of 9 months experience as a RN.

6 months experience in acute dialysis as a RN.

EDUCATION and LICENSURE:

Graduate of an accredited School of Nursing.

Current appropriate state licensure.

Current or successful completion of CPR BLS Certification

Must meet the practice requirements in all states in which he or she is employed.

EXPERIENCE AND REQUIRED SKILLS:

Entry level for RNs with less than 2 years of Nephrology Nursing experience as an RN

Minimum 9 months experience as a Registered Nurse, 12 months (preferred).

6 months acute dialysis experience (preferred)

Hemodialysis and/or ICU experience (preferred).

Fresenius Medical Care maintains a drug-free workplace in accordance with applicable federal and state laws.

Fresenius Medical Care is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sexual orientation, gender identity, parental status, national origin, age, disability, military service, or other non-merit-based factors