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Remote Machine Learning Jobs in Midlothian, VA (NOW HIRING)

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Senior Software Engineer

Richmond, VA · On-site +1

$121K - $159K/yr

... by learning from the world and each other. POSITION TITLE Senior Software Engineer (Full Stack) This role is not eligible for employment visa sponsorship. POSITION LOCATION New York, NY Remote (US ...

Senior Software Engineer

Richmond, VA · On-site +1

$121K - $159K/yr

... by learning from the world and each other. SENIOR SOFTWARE ENGINEER This role is not eligible for Sponsorship. POSITION LOCATION Richmond, Virginia Open to Remote This position is available to ...

We create fulfilling purpose-driven careers by learning from the world and each other. POSITION ... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ...

Showing results 21-34

Remote Machine Learning information

See Midlothian, VA salary details

$24.2K

$40.3K

$83.4K

How much do remote machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote machine learning in Midlothian, VA is $40,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,600.00 per year, depending on experience, location, and employer.

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.

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.

What are the most commonly searched types of Machine Learning jobs in Midlothian, VA?

The most popular types of Machine Learning jobs in Midlothian, VA are:

What are popular job titles related to Remote Machine Learning jobs in Midlothian, VA?

For Remote Machine Learning jobs in Midlothian, VA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Midlothian, VA look for?

The top searched job categories for Remote Machine Learning jobs in Midlothian, VA are:

What cities near Midlothian, VA are hiring for Remote Machine Learning jobs?

Cities near Midlothian, VA with the most Remote Machine Learning job openings:

Senior Project Manager Resource Optimization

Allianz Insurance

Richmond, VA • On-site, Remote

$143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

As a Senior Project Manager Resource Optimization for Global Travel Operations, you will be pivotal in driving strategic initiatives focused on project management, operational efficiency, workforce management and implementation of technology to improve staffing flexibility, associate satisfaction, and occupancy.  Your role will involve leveraging insights from long-term and short-term forecasting models, telephony results, industry standards, and associate feedback to enhance overall business performance.

Way of working:   This is a US remote based position. Candidates must currently reside in select U.S. states where we are authorized to hire and be legally eligible to work in the US. Current or future sponsorship is not available.   

Authorized States:  Florida, Georgia, Maryland, North Carolina, Texas, Virginia, Illinois, Kentucky, Minnesota, South Carolina, Philadelphia Pennsylvania and Tennessee.

 

 

What you will do

 

  • Process Improvement Management: Lead initiatives to streamline operations, enhancing efficiency and effectiveness.
  • Operational Efficiency: Identify and implement strategies to optimize business processes and resource utilization.
  • Associate Experience Enhancement: Develop and manage projects aimed at improving associate satisfaction and overall experience.
  • Project Coordination: Oversee cross-functional teams, ensuring strategic alignment and timely completion of projects.
  • Stakeholder Communication: Act as the main point of contact for project communications, managing expectations and providing regular updates.
  • Risk Management and Compliance: Ensure all initiatives comply with regulatory standards and organizational policies.
  • Lead a team of analysts and business optimization associates
  • Manage across teams with different areas within Operations 
  • Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics, and cloud‑based tools, using insights responsibly and in alignment with our standards for data governance, security, and ethical use.

 

What you will bring 

 

Internally qualified candidates will receive first consideration

  • Bachelor’s degree in business administration, Operations Management, or related field.
  • Minimum of 4 years of project management-related experience, preferably with a focus on process improvement, call center operational efficiency, and emphasis on work force management
  • Minimum 4 years of resource optimization subject matter expertise across geographically diverse locations.
  • Demonstrated ability to implement and track complex project plans and budgets.
  • Strong leadership skills.
  • Excellent communication and stakeholder management skills.
  • Proven ability to adapt to a fast-paced and dynamic environment
  • Experience working in a highly matrixed global environment
  • Ability to adjust working schedule to accommodate time zone differences outside of normal business hours
  • Fluent English

Preferred Qualifications

Project management certification (e.g., PMP)

What we offer

 

Annualized base pay range is $97,740 - $143,352 USD.

Actual base pay may vary based upon factors such as relevant experience, qualifications, internal equity of peers, and geographic location. Employees may also qualify for performance-based bonuses, merit increases, and other incentives based on individual and company performance. The availability and amount of these additional compensation elements are determined by company policy and may vary.

Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.


We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance. We offer a comprehensive benefits package that includes health, dental, and vision insurance, retirement savings plans, paid time off, and other employee programs. Eligibility for benefits is subject to plan terms and conditions, and may vary based on position and/or employment status.  

 

At Allianz we use some AI-assisted technology as part of our recruitment process to help match candidates to roles based on skills, experience, job title, and location. AI supports our recruiters by enhancing the efficiency and accuracy of candidate assessments and job recommendations, while all applications are reviewed by our recruitment team and final hiring decisions are made by humans.

This posting is for an existing vacancy.

 

How We Hire

Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier lists, under contract. Any unsolicited submission will not be considered.

 

101263 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent