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Remote Machine Learning Jobs in Mobile, AL (NOW HIRING)

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Remote Machine Learning information

See Mobile, AL salary details

$25.3K

$42.3K

$87.3K

How much do remote machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote machine learning in Mobile, AL is $42,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Mobile, AL? The most popular types of Machine Learning jobs in Mobile, AL are:
What are popular job titles related to Remote Machine Learning jobs in Mobile, AL? For Remote Machine Learning jobs in Mobile, AL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Mobile, AL look for? The top searched job categories for Remote Machine Learning jobs in Mobile, AL are:
What cities near Mobile, AL are hiring for Remote Machine Learning jobs? Cities near Mobile, AL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Medical Device Account Executive - Southern US

Medical Device Account Executive - Southern US

EnsoData

Mobile, AL • On-site, Remote

$220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Hi, I'm Courtney, the Regional Sales Director (RSD) for the southern US at EnsoData! We're excited to announce that we're looking for an Account Executive based in New Orleans, LA or Jacksonville, FL. We are looking for a self-starter who is eager to contribute to the growth of our business dedicated to improving healthcare. This remote position offers the following compensation:

  • Base salary: $90,000
  • At plan: $220,000
  • New hire guarantees for the first six months
  • Bonus potential after annual target is reached
  • Uncapped commissions
  • Stock options
  • Additional benefits such as paid time off, healthcare insurance, and parental leave.

The company is based in Madison Wisconsin but the territories are field based and this territory primarily covers Jacksonville, FL west to New Orleans, LA.

We are searching for proven account executives in the medical device industry so highlight your achievements on your resume!

The person in this role will be focused on growing the EnsoHST solution to all sleep, and referring physicians. This person needs to be professional and knowledgable in the business of sleep and medical devices.

Primary responsibilities:

  • Strive to exceed the monthly revenue quota
  • Identify prospective customers, generate and convert leads to sales; collaborate with new and existing customers to identify needs and sell solutions
  • Coordinate the sales process with marketing and the Sales Solutions Engineer (demonstrations)
  • Negotiate contracts and pricing with the RSD and/or CCO
  • Maintain their customer details in our CRM, HubSpot
  • Partner with Marketing and others to develop and refine sales and marketing strategies
  • Represent EnsoData at shows and, as needed, travel for onsite demonstrations

EnsoData

EnsoData strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow. Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimer's.

Requirements

This is what we need in our new team member:

  • Previous experience in sleep medicine, specifically home sleep testing sales (PPG is preferred)
  • Healthcare Software as Medical Device, SaaS or healthcare software sales knowledge preferred
  • Clinical aptitude, business acumen & strong work ethic
  • Hunter mindset w/ creative thinking
  • Preferred 5+ years account executive experience
  • Experience closing business in a health system required
  • Enterprise health system sales experience preferred
  • Experience working with CRM, preferred but not required
  • Bachelor's degree is preferred
  • Excellent people skills and positive attitude, ability to partner with a dynamic team
  • Experience working with remote and hybrid office/remote teams
  • Previous experience at a startup, tech, software engineering, or similar company is a bonus
  • Desire to contribute to building groundbreaking technologies to make healthcare more efficient, affordable, and effective
  • Personal qualities of integrity, perseverance, and commitment to the mission
  • Ability to travel up to 50% of the time - the position will focus on remote selling as compared to being on the road each day/week.

Candidates who apply but do not live in the territory area will not be considered.


Company Culture - Embrace the Pineapple!

How do we do this? https://www.ensodata.com/blog/why-the-pineapple/

  • Make Healthcare Better - is passionate about moving healthcare to a better place for everyone everywhere
  • Put Customers First - delights customers by working closely with them to support their initiatives
  • Be a Great Teammate - spreads the good vibes and is a joy to work with; also understands the value of helping one's teammates
  • Gets $#!t Done - bias toward action and intrinsically motivated to go above and beyond; demonstrates the ability to work autonomously as well as across teams
  • We also practice a Focus on Quality and look for teammates who don't cut corners and demonstrate integrity and attention to detail

Benefits

The benefits package includes, but is not limited to, the following:

Remote and flexible schedule - we are a remote company with hybrid options and support for flexible schedules! That being said, we have an amazing office headquarters in downtown Madison, WI with views of the capitol that you are welcome to work at anytime. In case you didn't know, Madison has consistently been ranked as one of the top places to live in the US (businessinsider.com, money.com, livability.com)!

Health, dental, and vision insurance with options to choose a plan that fits you and your dependents needs.

Paid time off options - we want our employees to rest, recharge, and feel better.

Stock options - we want team members to feel ownership in the organization. When EnsoData does well, you do well.

401k to help people invest in the future.

Team Summits! We look forward to opportunities to gather in person and enjoy a few days together. We participate in team events and gain some great in-person time. (Hint: check out our blog for info from former team gatherings!)

Interview Process

  1. Submit a resume online and our hiring team will choose those that seem like the best candidates.
  2. We look forward to meeting you face-to-face! A few candidates will be chosen for a video call to get to know each other, discuss your experience, and explain the position in more detail.
  3. Expect an opportunity to demonstrate your skills.
  4. The final candidates will have a chance to meet a few people from the team.
  5. Offer!

Let's talk

EnsoData seeks to recruit, hire, and retain the most talented people from a diverse candidate pool. Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you're a great fit, but don't necessarily check every box on the job description, please still get in touch.

To learn more about our ongoing commitment to diversity, see our updated website here.

Note: this role is based in the continental United States and currently EnsoData is unable to support sponsorships so candidates must be legally eligible to work and reside in the United States now and in the future.

Equal Employment Opportunity

EnsoData is proud to be an Equal Employment Opportunity employer. We do not discriminate against, nor do we tolerate unlawful harassment against, team members or any other covered persons on any basis of race, color, protective hairstyles, national, social, or ethnic origin, gender, pregnancy, childbirth, gender orientation, identity or expression, sexual, relationship, or romantic orientation, marital, civil union or domestic partnership status, family or parental status, age, protected veteran status, arrest record, expunged or sealed convictions, criminal history, source of income, credit history, housing status, physical, mental, or sensory disability, medical condition, genetic information, religion, or any other status protected by the laws or regulations in the locations where we operate.

We value, celebrate, and support diversity, inclusion, and our differences. We are committed to providing a safe work environment and a company culture of mutual respect where equal employment opportunities are available to all applicants and teammates. We seek to recruit, hire, and retain the most talented people from a diverse candidate pool. We strongly encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, intersectional individuals, foreign-born residents, and veterans to apply. We have a deep conviction that diversity and inclusion among our teams, our communities, and our physical and virtual workplaces is vital to the success of EnsoData's mission to improve healthcare access, outcomes, and affordability for patients and communities everywhere globally.

If you are a job seeker applying to EnsoData and you feel that you need to request an accommodation or alternative application, please contact Angela at angela@ensodata.com.

The applicant tracking system used to collect candidate resumes has artificial intelligence features built into it which may or may not be used during candidate recruitment and selection.

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