ZipRecruiter

Log In

2

Remote Python Machine Learning Jobs in Brooklyn, MD

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site +1

$86K - $123K/yr

Test and validate AI-enabled applications, machine learning integrations, and large language model ... Working knowledge of scripting or programming languages such as Python, JavaScript, or Java

micro1 AI

Engineering AI Evaluator (PhD)

Baltimore, MD · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Baltimore, MD · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Varsity Tutors

Business Analytics Tutor

Bowie, MD · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

Varsity Tutors

Business Analytics Tutor

Baltimore, MD · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

Varsity Tutors

Linear Algebra Tutor

College Park, MD · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Varsity Tutors

Linear Algebra Tutor

Baltimore, MD · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

next page

Showing results 1-20

All JobsPython Machine Learning JobsRemote Python Machine Learning JobsRemote Python Machine Learning Jobs in Brooklyn, MD

Remote Python Machine Learning information

See Brooklyn, MD salary details

$12

$54

$80

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

As of Jul 11, 2026, the average hourly pay for remote python machine learning in Brooklyn, MD is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $45.14 and $62.21 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What cities near Brooklyn, MD are hiring for Remote Python Machine Learning jobs? Cities near Brooklyn, MD with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Senior Data Developer (Business Operations)

Senior Data Developer (Business Operations)

QinetiQ US

Fort George G Meade, MD • On-site, Remote

$120K - $160K/yr

Other

Posted 12 days ago

Job description

Company Overview
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview
Join us in our support to the US Space Force (HQ USSF) Commercial Satellite Communication (COMSATCOM) Office (CSCO), where you will help shape the future of assured, resilient SATCOM for our warfighters and mission partners. As a key member of a highly collaborative, mission-focused team, you will apply your expertise to help deliver innovative commercial SATCOM capabilities, integrate a transformative COMSATCOM business model into the broader SATCOM enterprise, and translate complex operational needs into effective, affordable solutions. In this role, you will work directly with COMSATCOM customers and stakeholders, providing trusted guidance, insightful analysis, and clear recommendations that drive real-world impact in a rapidly evolving space domain. Job duties include:
Responsibilities
  • Design, build, and maintain automated data pipelines on the Advana and Financial Accountability System and Transformation (FASTR) platform using Python, PySpark, and SQL to ingest, normalize, and integrate COMSATCOM contract, billing, and operational data from disparate DoD and commercial sources.
  • Build and maintain Power BI dashboards and interactive reports supporting CSCO program management, executive decision-making, and Working Capital Fund financial reporting.
  • Support CSCO's operationalization of Advana and FASTR as the organization's primary financial reporting and analytics environment; lead data integration testing and platform configuration activities.
  • Develop automated database processes, including prepopulated worksheets, change logs, and audit trails, in support of monthly deliverables, data calls, and program performance reporting.
  • Integrate data flows from DoD enterprise systems - including FAMIS as a Service (FaaS), CORAS, and Electronic Document Access (EDA) - into the Advana/FASTR analytics ecosystem.
  • Partner with Data Scientists to operationalize predictive model and machine learning outputs within production infrastructure, ensuring pipelines are version-controlled, reproducible, and auditable.
  • Maintain data quality, governance, and documentation standards; develop training materials and provide platform guidance to program team members.
  • Respond to ad hoc development requirements from program leadership, including custom reports, database queries, and integration tasks, within program-defined timelines.

Required Qualifications
  • Minimum of 5 years of experience in data engineering, software development, database administration, or a closely related technical discipline.
  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Software Engineering, or a related field.
  • Secret Clearance required. #qinetiqclearedjob
  • Demonstrated proficiency in Python and SQL for data engineering, ETL development, and pipeline automation.
  • Experience with enterprise data platforms, distributed computing frameworks (Apache Spark/PySpark), or cloud-based analytics environments (Azure Government, AWS GovCloud, or Databricks).
  • Experience developing production-grade Power BI dashboards and data models for operational or executive-level stakeholders.
  • Strong understanding of data quality, governance, and documentation practices, including version control and audit trail standards.
  • Excellent communication skills with the ability to document technical work clearly and support non-technical stakeholders.
  • Deadline-driven, organized, and detail-oriented with the ability to operate effectively in a fast-paced DoD program environment.
  • Ability to support on-site client meetings within the National Capital Region.

Preferred Qualifications
  • Experience developing on the Advana platform (Databricks/Delta Lake architecture) or the FASTR environment within a DoD financial management context.
  • Familiarity with DoD financial management and enterprise systems including FAMIS, CORAS, Electronic Document Access (EDA), or Defense Agencies Initiative (DAI).
  • Experience supporting DoD or USSF space or satellite communications programs in a data engineering capacity.
  • Familiarity with Working Capital Fund (WCF) financial data structures, ESAG reporting requirements, and enterprise SATCOM program data.
  • TS/SCI.
  • Experience with MLOps practices, including model deployment and pipeline integration within enterprise data environments.
  • Familiarity with Microsoft Power Platform or SharePoint data architecture in a DoD collaboration environment.

Pay Transparency
The salary range for this role is $120,000- $160,000 USD. The salary range provided is a good faith estimate representative of all experience levels. QinetiQ US considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Company EEO Statement
Accessibility/Accommodation:
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 1 and let us know the nature of your request and contact information.
QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Apply