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Flexible Remote Machine Learning Engineer Jobs in Middle River, MD

Blend360

Director, AI Engineering (Data Science)

Columbia, MD · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and machine learning, with at least 3-5 years in a people management or technical leadership role (Director, Sr. Manager, or Principal Engineer level). * Proven track record of leading high ...

T2S Solutions

Resume Only Submission

Aberdeen, MD · On-site +1

$179K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Artificial Intelligence (AI) and Machine Learning (ML); Cyber Security; Cloud Computing ... That's why we offer flexible scheduling, remote work options, and a healthy work-life balance We ...

Booz Allen Hamilton, Inc.

Data Scientist

Fort George G Meade, MD · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 8+ years of experience with data science, data analytics, machine learning engineering ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Bestgate Engineering

UAV Software Engineer (C++)

Baltimore, MD · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

We are looking for software engineers who are interested in designing high-visibility solutions to ... machine learning, AI, quantum computing, and much more. In addition to doing unique work with great ...

INDEX ANALYTICS LLC

Data Scientist

Windsor Mill, MD · On-site +1

  • Medical

  • Retirement

This role emphasizes end-to-end development of machine learning and AI systems, including ... Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ...

Index Analytics

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

  • Medical

  • Retirement

This role emphasizes end-to-end development of machine learning and AI systems, including ... Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site +1

$86K - $123K/yr

  • Medical

  • Retirement

  • PTO

Test and validate AI-enabled applications, machine learning integrations, and large language model ... Collaborate with developers, full-stack engineers, product owners, and stakeholders to understand ...

Booz Allen Hamilton, Inc.

Data Engineer

Fort George G Meade, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241771 Location: Fort Meade,MD,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

BravoTech

Azure Cloud & Operations Engineer

MD · On-site +1

Azure Cloud & Operations Engineer (Must be US Citizen or Green Card) Join a team building and ... Experience with Azure AI Foundry and Azure Machine Learning. * Knowledge of Azure data governance ...

System One

Lead Data Scientist (Healthcare / ML)

Columbia, MD · Remote

$81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid - onsite and remote Responsibilities * Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes. * Identify and solve ...

System One

Lead Data Scientist (Healthcare / ML)

Columbia, MD · Remote

$81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid - onsite and remote Responsibilities * Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes. * Identify and solve ...

System One

Lead Data Scientist (Healthcare / ML)

Columbia, MD · Remote

$81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid - onsite and remote Responsibilities * Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes. * Identify and solve ...

System One

Lead Data Scientist (Healthcare / ML)

Columbia, MD · Remote

$81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid - onsite and remote Responsibilities * Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes. * Identify and solve ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsFlexible Remote Machine Learning Engineer JobsFlexible Remote Machine Learning Engineer Jobs in Middle River, MD

Flexible Remote Machine Learning Engineer information

See Middle River, MD salary details

$29.6K

$120.9K

$181.6K

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

As of Aug 17, 2026, the average yearly pay for flexible remote machine learning engineer in Middle River, MD is $120,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Middle River, MD look for?

The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Middle River, MD are:

What cities near Middle River, MD are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities near Middle River, MD with the most Flexible Remote Machine Learning Engineer job openings:

Flexible Remote Machine Learning Engineer jobs near you
Infographic showing various Flexible Remote Machine Learning Engineer job openings in Middle River, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $120,877 per year, or $58.1 per hour.

Director, AI Engineering (Data Science)

Blend360

Columbia, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.
Job Description
We are seeking a visionary and execution-oriented Director of AI Engineering to join our team. In this senior, client facing role, you will own the full lifecycle of AI model development, setting technical strategy and ensuring that cutting-edge machine learning solutions move from concept to production with business impact at their core.
With roots in data science and hands-on expertise in custom transformer architecture, you will bring both the credibility to lead technical teams. You will operate at the intersection of stakeholder management and deep technical execution and you should be equally comfortable presenting to a senior audience and reviewing model architecture with your team.
This is a high-impact, high-autonomyy role with significant organizational influence. You will define the AI roadmap, establish engineering best practices, and champion a culture of rigorous, reproducible, and responsible machine learning.
Strategic Leadership & Team Management
  • Define technical investments with business objectives
  • Mentor, and manage AI/ML engineers, senior data scientists, and MLOps engineers-setting performance expectations and a high-performance culture.
  • Partner with cross-functional leaders to prioritize initiatives, allocate resources, and measure organizational impact.
  • Establish engineering standards, code review practices, and model governance frameworks across the AI org.

Custom Transformer Architecture & Model Development
  • Serve as the technical authority on deep learning architecture-personally leading the design and development of custom transformer models for sequence modeling, customer propensity scoring, audience segmentation, and churn prediction.
  • Drive innovation in attention mechanisms, positional encodings, and tokenization strategies specifically suited to tabular, time-series, and event-stream data common in marketing and telecom.
  • Oversee adaptation and fine-tuning of foundation models (BERT, T5, TabTransformer, LLMs) for proprietary client datasets, ensuring domain-specific performance.
  • Champion reproducible experimentation and architectural decision documentation across the team.

Data Science & Applied Analytics
  • Oversee end-to-end data science workflows: problem framing, feature engineering, model development, validation, and production deployment.
  • Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online evaluation frameworks.
  • Guide the team in building robust data pipelines for large-scale structured and unstructured datasets, including clickstream, CRM, ad telemetry, CDRs, and network KPIs.

Client & Executive Engagement
  • Lead technical discovery and solutioning with enterprise clients translating ambiguous business problems into well-scoped AI initiatives.
  • Present AI strategy, model results, and roadmap updates to C-suite and senior client stakeholders with clarity and executive presence.
  • Contribute to business development: support RFP responses, lead technical portions of client proposals, and help grow the AI engineering practice.

MLOps, Infrastructure & Governance
  • Establish production standards for model deployment, monitoring, drift detection, and automated retraining across cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
  • Drive adoption of MLOps best practices including CI/CD for ML, containerization (Docker/Kubernetes), and experiment tracking (MLflow, W&B, DVC).
  • Implement model governance, explainability, and responsible AI standards in compliance with client and regulatory requirements.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a closely related quantitative field; Ph.D. strongly preferred.
  • 10+ years of progressive experience in data science and machine learning, with at least 3-5 years in a people management or technical leadership role (Director, Sr. Manager, or Principal Engineer level).
  • Proven track record of leading high-performing AI/ML engineering teams in a fast-paced, client-facing or product environment.
  • Deep, hands-on expertise designing and training custom transformer architectures from scratch-not only fine-tuning pre-built checkpoints, but architecting novel attention mechanisms, embedding strategies, and model topologies.
  • Strong applied data science foundation: feature engineering, statistical modeling, causal inference, and experimental design across large-scale datasets.
  • Proficiency in Python and core ML/DL libraries: PyTorch (preferred), TensorFlow, HuggingFace Transformers, scikit-learn, XGBoost/LightGBM.
  • Direct experience with industry datasets in marketing & media (DSP/DMP logs, ad impression data, attribution pipelines, MMM) OR telecommunications (CDRs, network KPIs, subscriber behavior, churn datasets).
  • Command of SQL and large-scale data platforms: Spark, BigQuery, Snowflake, or Databricks.
  • Experience owning end-to-end MLOps: cloud deployment (SageMaker, Vertex AI, or Azure ML), monitoring, CI/CD for ML, and model governance.
  • Exceptional executive communication skills-able to translate complex model behavior into business language for C-suite and client audiences.

PREFERRED QUALIFICATIONS
  • Professional services experience across multiple client engagements or business units
  • Background in privacy-preserving ML: federated learning, differential privacy, or synthetic data generation-especially relevant in post-cookie marketing environments.
  • Knowledge of graph neural networks (GNNs) for social graph or network topology analysis in telecom contexts.
  • Published research or conference contributions (NeurIPS, ICML, KDD, RecSys, or industry equivalents) related to applied transformers, tabular deep learning, or domain-specific AI.
  • Experience with real-time inference and streaming ML pipelines (Kafka, Flink, or similar).
  • Demonstrated ability to build strategic partnerships with external clients, contributing to revenue growth or account expansion through technical leadership.
  • Deep experience with openai focused on embeddings
  • Experience building custom transformer models

Additional Information
The starting pay range for this role is $180,000 - $240,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

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