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Day Shift Remote Python Machine Learning Jobs (NOW HIRING)

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Important Skills * Several years of experience with Python and machine learning frameworks

Paylocity

Machine Learning Engineer

This is a fully remote position, allowing you to work from home or location of record within the U ... You must be available five days per week during designated work hours. The work arrangement for ...

Spear AI

Machine Learning Engineer

Required : • Several years of experience with Python and machine learning frameworks • Expertise in PyTorch for building and training neural networks • Experience training and serving models in ...

Accelint

Machine Learning Engineer

Implement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch and Hugging Face. * Evaluate model performance, improve accuracy, and optimize inference pipelines ...

Canals

Machine Learning Engineer

New York, NY · Remote

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ...

Canals

Machine Learning Engineer

Denver, CO · Remote

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ...

Canals

Machine Learning Engineer

San Francisco, CA · Remote

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch ... Knowledge of machine learning techniques and algorithms, including fine tuning processes and ...

Roboflow

Machine Learning Research Engineer

... Python • Values scientific rigour, reproducibility, and high quality software • Passionate ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

Roboflow

Machine Learning Research Engineer

... Python • Values scientific rigour, reproducibility, and high quality software • Passionate ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

Lorven Technologies

Full stack Python + AI - Remote

Remote Duration: FTE We are looking for a Full Stack Python Developer with basic knowledge of AI ... machine learning models. Key Responsibilities Develop backend applications using Python (Django ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an ... Strong programming expertise in Python (Pandas, NumPy, PySpark, etc.). * Design, develop, deploy ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

TikTok

$42.75/hr

Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data ... Interns have day one access to health insurance, life insurance, wellbeing benefits and more.

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Day Shift Remote Python Machine Learning information

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How much do day shift remote python machine learning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for day shift remote python machine learning in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Remote Python Machine Learning vs Data Analyst?

AspectDay Shift Remote Python Machine LearningData Analyst
Required SkillsPython, Machine Learning, Data ModelingExcel, SQL, Data Visualization
Work EnvironmentRemote, collaborative teams, tech-focusedRemote or on-site, business-focused
Industry UsageTech, AI, Data ScienceBusiness, Marketing, Finance

Day Shift Remote Python Machine Learning roles focus on developing algorithms and models using Python, often in tech industries. Data Analysts interpret data to inform business decisions, utilizing tools like Excel and SQL. While both roles may be remote and require analytical skills, Python Machine Learning positions emphasize coding and model building, whereas Data Analysts focus on data interpretation and reporting.

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

A Day Shift Remote Python Machine Learning Engineer needs strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science, mathematics, or a related field. Experience with libraries and tools such as TensorFlow, PyTorch, scikit-learn, Git, and cloud platforms is commonly required, along with relevant certifications being advantageous. Excellent problem-solving, self-motivation, and clear communication skills help individuals excel in a remote and collaborative environment. These abilities ensure effective model development, deployment, and teamwork while meeting project goals in distributed settings.

What is a day shift remote Python machine learning job?

Day Shift Remote Python Machine Learning jobs are positions where professionals use Python to develop, implement, and maintain machine learning models while working remotely during standard daytime hours. These roles often involve tasks such as data analysis, feature engineering, model training, and deployment. By working remotely, employees have flexibility in their work environment, while the day shift ensures alignment with typical business hours for collaboration. These jobs are popular in industries like tech, finance, healthcare, and more, where machine learning plays a crucial role in decision-making and automation.

How do remote Python machine learning professionals typically collaborate with team members during the day shift?

Remote Python Machine Learning professionals often use a variety of online collaboration tools, such as Slack, Zoom, and project management platforms, to communicate with team members throughout the workday. Daily stand-up meetings, code reviews, and shared repositories (like GitHub) help ensure alignment on project goals and progress. Collaboration also extends to pair programming sessions, brainstorming model improvements, and jointly troubleshooting data issues. Being proactive in communication and documentation is key to staying connected and productive in a remote day shift environment.
More about Day Shift Remote Python Machine Learning jobs
What cities are hiring for Day Shift Remote Python Machine Learning jobs? Cities with the most Day Shift Remote Python Machine Learning job openings:
What are the most commonly searched types of Shift Remote Python Machine Learning jobs? The most popular types of Shift Remote Python Machine Learning jobs are:
What states have the most Day Shift Remote Python Machine Learning jobs? States with the most job openings for Day Shift Remote Python Machine Learning jobs include:
What job categories do people searching Day Shift Remote Python Machine Learning jobs look for? The top searched job categories for Day Shift Remote Python Machine Learning jobs are:
Day Shift Remote Python Machine Learning jobs near you
Infographic showing various Day Shift Remote Python Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 29% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Machine Learning Engineer

Spear AI

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness.

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. As we expand, we're building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.
Spear AI builds sonobuoy sensors that are deployed into the water and collect edge data. We also work with the U.S. Navy to collect and process their SONAR data. You'll have an opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.
What You'll Do
  • We're a small team wearing many hats, and you'd have a wide variety of responsibilities that include:
  • Design, train, and optimize machine learning models using PyTorch
  • Deploy models to production environments in the cloud and at the edge
  • Build and maintain ML pipelines for training, evaluation, and inference
  • Integrate machine learning models into real-time and batch processing systems
  • Optimize model performance for accuracy, latency, and resource constraints
  • Implement model monitoring, versioning, and deployment strategies
  • Work with signal processing data and time-series analysis
  • Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Who You Are
  • We're looking for someone with strong Machine Learning Engineering skills who shares our most important values:
  • You're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has comprehensive test coverage.
  • You care about correctness. You take pride in the fact that your models perform reliably and downstream consumers trust your predictions.
  • You obsess over performance. You daydream about model latency, throughput, and efficient inference pipelines.
  • You dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding.
  • You live on the bleeding edge. You've got a long list of upcoming ML techniques and frameworks you're excited about and can't wait to experiment with new approaches.
  • You're a great teacher. You know how to break down complex ML concepts for a specific audience and make it click with them in a way that gets them excited.
Why Work With Us
  • We ship - We don't work on 18-month projects that are irrelevant before they're even finished.
  • Our work has impact - We build products that are deployed to U.S. submarines and integrate with the sonobuoys we manufacture.
  • We're growing responsibly - We have the resources to hire a lot more people, but we don't want to build a massive team of people who don't share our values.
  • We're remote - Work from wherever you want. We collaborate in real time on Slack or asynchronously via GitHub.
  • We're profitable - We aren't burning through cash trying to make the business work. But we also have investors who believe in us and are committed to our success.
  • We care about doing great work - You don't need permission to sweat the details here.
  • We don't take ourselves too seriously - We're building products that make the world safer. But we don't let that get to our heads.
Important Skills
  • Several years of experience with Python and machine learning frameworks
  • Expertise in PyTorch for building and training neural networks
  • Experience training and serving models in cloud environments (AWS, Azure, GCP)
  • Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
  • Experience with model optimization for production performance and scale
  • Knowledge of Docker and Kubernetes for containerized deployments
  • Familiarity with REST APIs and model serving frameworks
  • Understanding of CI/CD pipelines for ML systems
  • Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
Nice To Have
  • Experience with reinforcement learning algorithms and applications
  • Digital signal processing experience
  • Background in time-series analysis or sensor data processing
  • Experience with edge deployment and model optimization for resource-constrained environments
  • Familiarity with distributed training across multiple GPUs/nodes
  • Experience with model compression techniques (quantization, pruning, distillation)
  • Contributions to open-source ML projects or research publications
  • Experience in defense, aerospace, or other regulated industries
What We Offer
  • Unlimited PTO - Take the time you need to recharge and maintain work-life balance.
  • Dedicated Sick Time - Your health and well-being come first.
  • Comprehensive Health & Benefits - Medical, dental, and vision coverage to keep you and your family protected.
  • 11 Paid Holidays - Enjoy time off throughout the year to celebrate and spend with loved ones.
  • Professional Development - Educational opportunities and resources to help you grow your skills and advance your career.
  • Collaborative Environment - Work directly with leadership in our flat organizational structure, where your ideas and contributions matter.
  • Mission-Driven Work - Contribute to projects that directly support national security and make a real-world impact.
  • Growth Opportunities - Join us during an exciting expansion phase where you can help shape our future.
Additional Benefit Opportunities When You Choose Spear AI:
  • 401(k) with company match
  • Onsite / Remote / Flexible work arrangements or hybrid options (position dependent)
  • Relocation assistance (position dependent)
  • Referral bonuses
  • Performance bonuses
  • Life insurance and disability coverage
  • Technology home office setup stipend
  • Professional certification reimbursement (position dependent)
We offer competitive compensation tailored to your experience, location, and the impact you'll make. We're committed to equitable pay and will share a range aligned to your level and geography during the hiring process. In accordance with state law, candidates in jurisdictions such as CA, CO, WA, NY, and others, where applicable, will be provided a good-faith salary range upon request and through the hiring process. This is a full-time, exempt position under the Fair Labor Standards Act (FLSA) and is not eligible for overtime pay.

Compensation for this position is provided on a salaried basis and is not subject to reduction based on hours worked. At Spear AI, you'll find more than just a job; you'll join a mission-driven team where your work directly contributes to national security. Our flat organizational structure means your voice matters, your ideas reach leadership, and your impact is visible. As we grow, we're committed to building robust processes and infrastructure that support both our mission and our people. We value collaboration, continuous improvement, and the expertise each team member brings to the table. If you're looking for a place to grow professionally while working on projects that truly matter, we'd love to hear from you.

You must be willing to receive a Secret or Top Secret/SCI security clearance. This will be at no expense to you. For resources on what goes into a security background investigation and what disqualifies people reference the CIA requirements.
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About Spear AI

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Washington, DC, US

Year founded

2020

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