2

Manager Remote Machine Learning Jobs in Orange Park, FL

... Management. Following the machine learning lifecycle, the data scientist should be able to convert ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

... Management. Following the machine learning lifecycle, the data scientist should be able to convert ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Data Science Tutor

Jacksonville, FL ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Senior Data Engineer ID75059

Jacksonville, FL ยท On-site +1

$98K - $133K/yr

... Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high ... machine learning initiatives and advanced analytics; - Act as a technical consultant for ...

You'll work 6 days per week visiting different locations and learning from each team. As a Travel ... High performers may be considered for leadership or remote roles in the future. Employment Type ...

Be Seen First

This is not a job for an average account manager; we need a builder who thrives in a fast-paced ... Ability to take rejection in stride, view challenges as learning opportunities, and share ...

New

next page

Showing results 1-20

Manager Remote Machine Learning information

See Orange Park, FL salary details

$25.5K

$63.7K

$107K

How much do manager remote machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for manager remote machine learning in Orange Park, FL is $63,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $72,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Remote Machine Learning vs Data Scientist?

AspectManager Remote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote team management, project oversightData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, startupsTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

The main difference is that a Manager Remote Machine Learning oversees ML projects and teams remotely, focusing on leadership and strategy, while a Data Scientist primarily conducts data analysis and model development. Managers handle project management and team coordination, whereas Data Scientists focus on technical implementation and research.

What job categories do people searching Manager Remote Machine Learning jobs in Orange Park, FL look for?

The top searched job categories for Manager Remote Machine Learning jobs in Orange Park, FL are:

Infographic showing various Manager Remote Machine Learning job openings in Orange Park, FL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $63,695 per year, or $30.6 per hour.

AI/Machine Learning Engineer

Bayswater Consulting Group

Jacksonville, FL โ€ข Remote

$130K - $175K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

AI / Machine Learning Engineer

About the Role

We are working with a client seeking a skilled AI/Machine Learning Engineer for a full-time, direct hire opportunity. This is a fully remote position open to candidates across the United States.

Responsibilities

  • Design, develop, and deploy machine learning models and AI-driven solutions into production environments
  • Build and maintain data pipelines to support model training, evaluation, and continuous improvement
  • Collaborate with data scientists, engineers, and product teams to translate business problems into scalable AI solutions
  • Evaluate and implement large language models, fine-tuning approaches, and prompt engineering strategies where applicable
  • Monitor model performance in production and retrain or update models as needed
  • Optimize models for accuracy, efficiency, and computational cost
  • Conduct rigorous experimentation and communicate results clearly to both technical and non-technical stakeholders
  • Stay current on advancements in machine learning, deep learning, and generative AI
  • Document models, pipelines, methodologies, and results thoroughly

Requirements

  • 3+ years of experience in a machine learning or AI engineering role
  • Strong proficiency in Python and ML libraries — TensorFlow, PyTorch, scikit-learn, or similar
  • Experience building and deploying production ML models, not just research or notebook-based work
  • Solid understanding of supervised, unsupervised, and reinforcement learning techniques
  • Familiarity with LLMs, transformer architectures, and generative AI frameworks
  • Experience with cloud-based ML platforms — AWS SageMaker, Azure ML, Google Vertex AI, or similar
  • Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
  • Excellent problem-solving skills and rigorous experimental mindset
  • Strong communication skills — ability to explain complex models and results to non-technical audiences

Nice to Have

  • Experience with fine-tuning or deploying large language models such as GPT, LLaMA, or similar
  • Familiarity with MLOps practices and tools such as MLflow, Kubeflow, or Weights & Biases
  • Experience with retrieval-augmented generation (RAG) architectures
  • Knowledge of vector databases such as Pinecone, Weaviate, or Chroma
  • Background in NLP, computer vision, or time-series forecasting
  • Contributions to open-source ML projects or published research

Compensation

$130,000 — $175,000 base salary depending on experience. Full benefits package available.

Location

Fully remote — United States.