ZipRecruiter

Log In

2

Flexible Python Developer Remote Jobs in Florida

Mercor

Senior Full Stack Developer

Miami, FL · Remote

$80 - $130/hr

Remote Role Responsibilities * Design, develop, and maintain full-stack applications using Python . * Build and integrate APIs and MCP-based systems . * Collaborate closely with engineering and ...

YO AI Labs

SolidWorks Expert - Remote

Miami, FL · Remote

$40 - $130/hr

Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ... Flexible work schedule. * Opportunity to contribute to cutting-edge AI technology using your ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Practical experience in Python and at least 1 of the following programming languages: Scala, Java ...

TMTG

Senior AI Engineer

Sarasota, FL · On-site +1

$118K - $155K/yr

Senior AI Engineer Remote - US only Full-time Are you passionate about building AI products people ... Python * Experience with LLM gateways or serving infrastructure (LiteLLM, vLLM, TGI, or similar)

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Python * Machine Learning * Deep Learning * Generative AI * Large Language Models (LLMs ... Performance Bonus * Flexible Work Hours * Remote Work Options * Paid Time Off * Learning ...

ICF

Substation Physical Engineer - REMOTE

Miami, FL · Remote

$94K - $120K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... Fully remote, flexible schedule, work-life balance * Investment in the community: Donation matching ...

previous pagenext page

Showing results 21-40

All JobsPython Developer JobsFlexible Python Developer Remote JobsFlexible Python Developer Remote Jobs in Florida

Flexible Python Developer Remote information

What is a flexible Python developer remote?

A Flexible Python Developer Remote is a software developer who specializes in using the Python programming language and works remotely, often with flexible hours. This role allows professionals to contribute to projects from any location and adapt their work schedule to suit their needs, as long as deadlines and project goals are met. Flexible Python Developers may work for companies, as freelancers, or on contract, and are valued for their ability to efficiently solve problems and collaborate with teams online. The flexibility of this job makes it attractive for those seeking work-life balance and the freedom to work from anywhere.

What are the key skills and qualifications needed to thrive as a flexible Python developer remote?

To thrive as a Flexible Python Developer Remote, you need strong proficiency in Python programming, experience with software development frameworks, and ideally a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and possibly certifications in Python or cloud technologies are often required. Excellent self-motivation, communication, and time management skills distinguish top performers in remote roles. These competencies enable efficient, high-quality code delivery and effective collaboration across distributed teams.

How do flexible Python developer roles typically balance independent work with team collaboration in a remote environment?

Flexible Python Developer positions often combine significant independent coding time with regular team collaboration, typically through virtual meetings and agile workflows. While you'll have the autonomy to manage your schedule and tasks, expect to participate in daily stand-ups, code reviews, and pair programming sessions using tools like Slack, Zoom, and GitHub. This structure ensures alignment on project goals and fosters knowledge sharing, while still allowing flexibility in how and when you complete your work. Successfully navigating this balance requires strong communication skills and proactive updates to keep the team informed.

What is the difference between Flexible Python Developer Remote vs Python Software Engineer?

AspectFlexible Python Developer RemotePython Software Engineer
CredentialsProficiency in Python, experience with remote work toolsProficiency in Python, often with additional software engineering certifications
Work EnvironmentRemote, flexible hours, independentTypically office-based or hybrid, structured hours
Industry UsageFreelance, startups, tech companiesTech firms, large corporations, product teams
Search IntentRemote Python jobs, freelance Python rolesFull-time Python development roles

Flexible Python Developer Remote roles focus on remote, flexible work arrangements often suited for freelancers or independent contractors. Python Software Engineer positions are usually full-time, structured roles within companies. While both require Python skills, the work environment and employment type differ significantly, catering to different job seekers' preferences.

What are the most commonly searched types of Python Developer Remote jobs in Florida?

The most popular types of Python Developer Remote jobs in Florida are:

What are popular job titles related to Flexible Python Developer Remote jobs in Florida?

For Flexible Python Developer Remote jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Flexible Python Developer Remote jobs in Florida look for?

The top searched job categories for Flexible Python Developer Remote jobs in Florida are:

What cities in Florida are hiring for Flexible Python Developer Remote jobs?

Cities in Florida with the most Flexible Python Developer Remote job openings:

Flexible Python Developer Remote jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 6 days ago

Job description

Satlantis is a leading-edge company specializing in high-performance satellite technology and data processing. We are at the forefront of innovation, developing advanced solutions for Earth observation and space exploration. Join our dynamic team in Gainesville, Florida, and contribute to groundbreaking projects that shape the future of satellite technology. For more information about the company, please visit www.satlantis.com .
Position Summary
We are seeking a highly motivated and experienced Senior Computer Vision Engineer with strong technical leadership to drive Satlantis US's computer vision and imagery understanding initiatives. The ideal candidate combines deep expertise in modern vision systems with pragmatic delivery: you will design, develop, evaluate, and deploy computer vision models and pipelines that operate on large-scale satellite imagery and geospatial data products.
This is a hands-on role where you will own vision workstreams end-to-end-from problem definition and dataset strategy to model development, production deployment, performance optimization, and iteration-while setting engineering standards, mentoring teammates, and partnering closely with engineering, product, and mission teams. You will help ensure our computer vision systems are accurate, robust, scalable, and operationally effective in real-world Earth-observation workflows.
What you'll do:
  • Own your developments. Lead high-impact computer vision initiatives such as segmentation, object detection, classification, image matching, semantic retrieval, change detection, tracking, and anomaly detection over satellite imagery and derived geospatial products, delivering measurable improvements in model quality and operational outcomes.
  • Translate problems into vision systems. Convert customer needs, mission requirements, and research goals into well-scoped computer vision problems, define success metrics and KPIs (e.g. precision/recall, mAP, IoU, F1, latency, throughput, memory footprint), and establish acceptance criteria and validation plans.
  • Design datasets that win. Drive dataset strategy for vision applications, including annotation protocols, tiling and sampling strategies, class balance, hard-negative mining, augmentation policies, domain-shift analysis, and label-quality audits. Establish repeatable dataset versioning and documentation practices.
  • Build robust training and evaluation pipelines. Implement reproducible experimentation, benchmarking, ablation studies, and error-analysis workflows for computer vision models, including geospatially aware evaluation where applicable.
  • Advance model architectures. Develop and improve state-of-the-art computer vision approaches, including CNNs, transformers, encoder-decoder architectures, self-supervised learning, multi-modal fusion, and foundation-model adaptation for remote sensing imagery. Optimize solutions for real operational constraints such as image resolution, viewing conditions, atmospheric noise, and multi-temporal data.
  • Operationalize vision models. Partner with software and platform engineers to productionize vision systems, including model packaging, inference optimization, deployment pipelines, monitoring, drift detection, versioning, rollback strategies, and performance tuning across heterogeneous compute environments.
  • Raise the engineering bar. Set standards for code quality, reproducibility, model validation, benchmarking, documentation, and peer review. Write clear technical design documents and decision memos that align stakeholders and accelerate execution.

Skills and experience (required):
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Remote Sensing, Robotics, or a related field.
  • 3+ years of professional experience in computer vision, machine learning, or applied AI, including delivering vision models into production or operational workflows.
  • Strong proficiency in Python for machine learning and computer vision workflows; ability to write clean, maintainable, and well-tested code.
  • Deep knowledge of computer vision fundamentals, including image representations, feature extraction, geometric reasoning, dense prediction, detection, segmentation, and model evaluation.
  • Hands-on experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow, and practical experience implementing modern vision architectures.
  • Strong understanding of training and inference optimization, including data loading efficiency, batching, mixed precision, model compression, and performance-aware experimentation.
  • Experience working with large-scale imagery or visual datasets and building pipelines that are reliable and reproducible.
  • Strong communication skills, with the ability to explain complex technical trade-offs clearly to cross-functional stakeholders.

Nice to have (preferred)
  • Geospatial / satellite domain experience: GDAL, Rasterio, projections/CRS, tiling strategies, GeoTIFF/COG/NetCDF, STAC/PgSTAC, and geospatial image-quality considerations.
  • Remote-sensing computer vision: experience with multi-spectral or panchromatic imagery, super-resolution, image fusion, orthorectification-aware workflows, and change detection in Earth-observation contexts.
  • Spatiotemporal vision modeling: time-series imagery, temporal fusion, motion/change analysis, event detection, or tracking across repeated satellite captures.
  • MLOps / production AI: model serving, monitoring, experiment tracking (e.g. W&B, MLflow, CometML), orchestration (Airflow, Argo, ZenML), and lifecycle management.
  • Cloud & compute: experience training and running inference on AWS/GCP/Azure and on-prem HPC/cluster environments, including SLURM-managed GPU/CPU fleets and Kubernetes-based infrastructure; strong understanding of containers, distributed training, GPU scheduling, storage/performance bottlenecks, and cost/performance tuning.
  • Foundation models for vision / Earth observation: fine-tuning, embedding extraction, retrieval systems, transfer learning, promptable models, and multimodal representation learning.
  • C++ or performance-oriented deployment experience: OpenCV, ONNX, TensorRT, Triton Inference Server, CUDA optimization, or edge/real-time inference workflows.
  • Familiarity with data governance and quality frameworks, including lineage, validation checks, and dataset documentation.

Work Authorization:
This role will not sponsor any employment visas. Candidates must have and maintain unrestricted legal authorization to work in the U.S. now and in the future, without requiring employer-sponsored visa support.
Location & Work Model:
Full-time, in-person position in Gainesville, Florida. You'll work closely with engineering and business teams on impactful, real-world satellite analytics and AI systems-helping deliver reliable, scalable capabilities that push forward the state of the art in Earth observation.
Why Join Satlantis?
  • Be part of a pioneering company at the forefront of space technology.
  • Work on challenging and impactful projects that have real-world applications.
  • Collaborate with a team of brilliant and passionate engineers and scientists.
  • Competitive salary and benefits package.
  • Opportunity for professional growth and development in a rapidly expanding industry.
  • Enjoy the vibrant community and quality of life in Gainesville, Florida. Learn more at https://www.visitgainesville.com/ .

Apply