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Remote Senior Machine Learning Engineer Jobs in Navarre, FL

Leidos

Senior Transmission Line Engineer

Pensacola, FL · On-site +1

$73K - $132K/yr

... for REMOTE). You should minimally meet the knowledge, skills, and abilities listed below ... learning training, work-life flexibility, an exciting External Referral Program, and a diverse ...

JLL

Senior Manager, Product & Innovation

Pensacola, FL · Remote

$119K - $157K/yr

AWS certifications (Solutions Architect, Developer, Machine Learning, or equivalent) * Experience ... Fully remote work environment, with up to 25% travel to client sites and JLL leadership meetings ...

BRMi

Senior Project Manager

Pensacola, FL · Remote

... Remote but must be local to either Vienna, VA or Pensacola, FL for ocassional meetings Click here ... Utilize Azure DevOps (ADO) to manage work items, track progress, and monitor delivery metrics.

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Navarre, FL

Remote Senior Machine Learning Engineer information

See Navarre, FL salary details

$69.5K

$132K

$176.8K

How much do remote senior machine learning engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote senior machine learning engineer in Navarre, FL is $131,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $148,700.00 per year, depending on experience, location, and employer.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What cities near Navarre, FL are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Navarre, FL with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you

Senior Technical Product Manager (US Based Remote Working Options Available)

Ametris

Pensacola, FL • Remote

$129K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

At Ametris, we partner with world-class life sciences organizations to transform complex, real-world patient data into validated clinical evidence. Our end-to-end Digital Health Technology (DHT) platform integrates medical-grade wearable sensors, regulatory-aligned data analytics, and expert scientific support to simplify clinical trials. By pioneering objective digital endpoints in therapeutic areas like CNS, neuromuscular, and respiratory diseases, we empower global research teams to run smarter trials, reduce patient burden, and accelerate life-saving therapeutic innovation.

We are seeking a Senior Technical Product Manager (TPM) to own the core infrastructure, data pipelines, and API integrations powering our global DHT platform. In this role, you will sit at the crossroads of hardware engineering, data science, and cloud software. You will be responsible for translating complex clinical, scientific, and regulatory requirements into concrete technical roadmaps.

The ideal candidate has deep experience managing complex data-intensive platforms, a strong understanding of cloud architecture, and a passion for shaping the future of digital medicine.

The essential duties and responsibilities for this role include:

    • Platform Vision & Roadmap: Own the technical product lifecycle and roadmap for Ametris’ core data ingestion engines, cloud architecture, and developer APIs.
    • Cross-Functional Collaboration: Partner closely with Data Science, Firmware/Hardware Engineering, and Cloud Software teams to safely scale data handling from raw wearable sensor outputs to regulatory-compliant digital endpoints.
    • API & Integration Strategy: Define and document robust, developer-friendly APIs and data pipelines that seamlessly integrate Ametris with clinical trial systems (e.g., Electronic Data Capture / EDC platforms).
    • Regulatory Alignment: Collaborating with Quality and Regulatory teams to ensure our data platforms strictly adhere to life science standards, including FDA 21 CFR Part 11, HIPAA, GDPR, and GxP guidelines.
    • Technical Requirements: Author highly technical PRDs, architectural overviews, and granular epic/user story backlogs. Champion Agile/Scrum methodologies across engineering squads.
    • Data Analytics & Infrastructure: Drive technical strategies around raw signal processing storage, high-throughput cloud ingestion, and machine learning/algorithm deployment frameworks.

All responsibilities are to be performed in accordance with the Ametris core values, standards, policies, and procedures.

As an equal opportunity employer, all employment at Ametris is governed without regard to, nor influenced by, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Requirements

The ideal candidate will have:

  • Required Qualifications
    • Experience: 5+ years of Product Management experience, with a heavy emphasis on Technical Product Management (TPM) or Platform Product Management.
    • Industry: Proven track record working within HealthTech, Digital Health, Biotech, or Medical Devices.
    • Technical Domain: Hands-on experience scaling distributed cloud systems (Azure preferred), relational/non-relational databases, and complex data pipeline architectures.
    • Interoperability: Deep understanding of RESTful APIs, data serialization, and healthcare data exchange standards.
  • Preferred Qualifications
    • Familiarity with digital clinical measures, actigraphy data, signal processing, or biometric wearable sensors.
    • Prior experience navigating the FDA Software as a Medical Device (SaMD) landscape or validated systems environments.
    • Strong analytical skills using SQL, Python, or data visualization tools to evaluate data health and platform performance.

Educational Requirements

Required:

  • Bachelor’s degree in Computer Science, Data Science, Biomedical Engineering, or a closely related technical field (or equivalent practical experience).

Benefits

At Ametris, we do our best to offer benefits and a work environment that is positive, fun, and tailored towards the needs and feedback of our team members. We do so by offering:

  • A casual "dress-code" environment
  • A family-oriented and collaborative workplace
  • Paid time off (including paid time off for your birthday)
  • And a very generous suite of benefits including: medical, dental, vision, basic/life accidental, short/long term disability, identity theft, 401K (plus a match), and supplemental insurance options.