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Remote Machine Learning Engineer Jobs in Midlothian, VA

Proficiency in programming languages such as Python or R. * Strong understanding of statistical analysis, data mining, and machine learning algorithms. * Experience with data visualization tools and ...

Data Science Tutor

Richmond, VA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Python Tutor

Richmond, VA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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 ...

Linear Algebra Tutor

Richmond, VA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Fullstack Engineer

Richmond, VA · On-site +1

$115K - $141K/yr

Interested in learning more about how we're transforming the financing experience and joining our ... Remote opportunities are available to candidates throughout the United States. Salary Range: $115 ...

Showing results 21-40

Remote Machine Learning Engineer information

See Midlothian, VA salary details

$29.8K

$122K

$183.3K

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

As of Aug 20, 2026, the average yearly pay for remote machine learning engineer in Midlothian, VA is $121,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $146,800.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

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

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

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

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

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

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

Infographic showing various Remote Machine Learning Engineer job openings in Midlothian, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 3% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,987 per year, or $58.6 per hour.

Professional Learning Developer (Multilingual Learners/ESOL)

EdConnective

Richmond, VA • On-site, Remote

Contractor

Re-posted 8 days ago


Job description

Why This Role Matters
As a Professional Learning Facilitator (Multilingual Learners/ESOL), you'll ensure educators and leaders receive high-quality professional learning experiences that are engaging, practical, and grounded in research-based practices for supporting Multilingual Learners. Your energy, expertise, and ability to facilitate meaningful learning will directly influence instructional practice and, ultimately, student outcomes. In this role, you'll help educators deepen their understanding of effective language development, sheltered instruction, and equitable access to grade-level content, while translating research and best practices into actionable classroom strategies. Most facilitation will be conducted virtually (Zoom), with occasional opportunities for in-person delivery.
This is a contractor position with flexibility in scheduling and potential travel (up to 15%) to customer sites and events across the U.S.
Who We Are
At EdConnective, we believe the most powerful tool in any classroom is the educator. Our mission is to ensure every student thrives by supporting exceptional teacher and leader growth. When educators grow, students win - and our work accelerates that growth every day.
If that excites you, you're in the right place. We welcome candidates from all backgrounds, experiences, and education levels.
Why You'll Love EdConnective
  • Real Impact, Every Day - Your work will directly improve outcomes for educators and students. Our inboxes are full of stories showing just how transformational this support can be.
  • No Gimmicks, Just Great Work - Our customer approach is consultative, thoughtful, and high-integrity. No pressure tactics. No spammy follow-ups.
  • Elite Team, Shared Mission - You'll collaborate with leaders and mentors who've helped to build iconic education organizations (Rosetta Stone, Hobsons, and others) and you'll work alongside expert coaches with thousands of years of combined experience.
  • Smart Tools, Less Busywork - We use modern tech to automate the tedious and amplify the strategic.
  • Serious About Growth - We invest in you. With a personalized development plan and ongoing learning support, you'll have room to level up fast.

What You'll Love To Do:
  • Bring high-quality workshop content to life with your own energy, presence, and facilitation style.
  • Share authentic insights from academic research or university-level experience to help educators understand how AI is reshaping research practice.
  • Create spaces where educators feel seen, heard, and engaged.
  • Use powerful learning structures to spark educator insight and conversation.
  • Guide participants through meaningful "aha" moments that connect AI's real-world research applications to classroom practice.
  • Build connections quickly, turning groups of educators into collaborative learning communities.
  • Lean into your love of teaching adults, modeling the same instructional moves we want educators to use with students.
  • Navigate virtual and in-person dynamics with confidence, curiosity, and flexibility.
  • Represent EdConnective with professionalism, warmth, and genuine enthusiasm for educator growth.

What You Bring:
  • 5+ years of experience in higher education, academic research, laboratory work, K-12 education, or a combination of these contexts.
  • Experience using or understanding how AI is applied in research, such as data analysis, modeling, workflow automation, or literature synthesis, OR a willingness to speak from real academic research experience while integrating provided AI examples.
  • Demonstrated success facilitating interactive workshops for adult learners, both in person and virtually.
  • High energy, enthusiasm for the craft of teaching and learning, and a passion for educator growth.
  • Strong presence in front of groups and the ability to read a room, adjust pacing, and maintain engagement.
  • Tech-savviness and comfort navigating Zoom, Google tools, virtual collaboration platforms, and digital materials.
  • A growth mindset and openness to feedback.
  • A self-starter attitude, reliability, timeliness, and professionalism.

Notice of Phishing Scams:
Please note: All official communication regarding this position will come only from email addresses at edconnective.com, edconnective.io, or through our HireHive platform. Any other domains (careers-edconnective.com) or contacts are not affiliated with EdConnective and are likely fraudulent.