machine engineer

Henderson Scott

<div>
 
 
 Machine Learning Engineer
 
 
 Northern Virginia, United States (Hybrid Working)
 
 
 Salary: Circa $175,000 + Benefits
 
 
 
 
 About the Role
 
 
 
 A growing
 
 SaaS technology company
 
 is seeking a talented
 
 Machine Learning Engineer
 
 to join its expanding AI and data engineering team in Northern Virginia.
 
 
 The company is building advanced machine learning capabilities into its core platform, enabling intelligent automation, data-driven decision making, and scalable AI-powered features for enterprise customers.
 
 
 In this role, you will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning models and systems into production environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to support product features and data-driven solutions
 </li>
 <li>
 Build and maintain scalable machine learning pipelines for training, evaluation, and deployment
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities to apply machine learning within the company's SaaS platform
 </li>
 <li>
 Prepare, process, and analyze large datasets for model development and experimentation
 </li>
 <li>
 Evaluate and optimize models for performance, scalability, and reliability
 </li>
 <li>
 Deploy models into production environments and monitor their performance over time
 </li>
 <li>
 Contribute to the development of
 
 ML infrastructure and MLOps processes
 
 </li>
 <li>
 Stay current with advancements in machine learning, artificial intelligence, and data technologies
 </li>
 <li>
 Document models, processes, and systems to support collaboration and reproducibility
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in
 
 Computer Science, Artificial Intelligence, Data Science, or a related field
 
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning models using frameworks such as
 
 PyTorch, TensorFlow, or similar tools
 
 </li>
 <li>
 Experience working with large datasets and data processing tools such as
 
 Pandas, NumPy, or SQL
 
 </li>
 <li>
 Familiarity with deploying machine learning models in production environments
 </li>
 <li>
 Experience working with
 
 cloud platforms such as AWS, Azure, or Google Cloud
 
 </li>
 <li>
 Strong understanding of machine learning techniques including supervised and unsupervised learning
 </li>
 <li>
 Ability to collaborate effectively within cross-functional engineering teams
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 MLOps practices and model deployment frameworks
 
 </li>
 <li>
 Familiarity with containerization technologies such as
 
 Docker or Kubernetes
 
 </li>
 <li>
 Experience working with
 
 data pipelines or large-scale data processing systems
 
 </li>
 <li>
 Exposure to
 
 deep learning, NLP, or applied AI systems
 
 </li>
 <li>
 Experience working in a
 
 SaaS or data-driven product environment
 
 </li>
 </ul>
 
 
 What's on Offer
 
 
 <ul>
 <li>
 
 Circa $175,000 base salary
 
 </li>
 <li>
 Equity or stock option opportunities
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 401(k) retirement plan
 </li>
 <li>
 Paid vacation and company holidays
 </li>
 <li>
 
 Hybrid working environment
 
 </li>
 <li>
 Opportunity to work on impactful AI systems within a growing SaaS company
 </li>
 <li>
 Collaborative engineering culture with strong opportunities for learning and career growth
 </li>
 </ul>
 
 If you are a
 
 Machine Learning Engineer interested in building scalable AI solutions within a modern SaaS platform
 
 , we would welcome the opportunity to discuss this role with you.
 
 
 
 
 
 Desired Skills and Experience
 
 
 
 Machine Learning
</div>

Machine Learning Engineer

AMA CONSULTING

AMA Consulting, LLC, a Maryland-based Limited Liability Company, provides analytical, acquisition, and business management support services to federal agencies. AMA Consulting is an Equal Opportunity/Affirmative Action Employer. Join a dynamic team of forward-thinking professionals in our growing company supporting cutting-edge AI innovation and national security initiatives.
 
Machine Learning Engineer
 
The Machine Learning Engineer will develop the AI testing, evaluation, and monitoring tools that power AMA's AI assurance platform. This role focuses on building model evaluation pipelines, bias detection systems, and AI monitoring capabilities.
 
Key responsibilities include: 
<ul>
<li>AI Model Testing</li>
<li>Develop automated pipelines for testing AI model performance.</li>
<li>Build model validation systems and evaluation metrics.</li>
<li>Implement bias detection and fairness testing tools.</li>
<li>AI Monitoring Systems</li>
<li>Develop tools to monitor AI models in production environments.</li>
<li>Build explainability and model transparency capabilities.</li>
<li>Data Science & AI Development</li>
<li>Build machine learning models supporting platform analytics.</li>
<li>Develop algorithms supporting AI assurance and risk evaluation.</li>
<li>Platform Integration</li>
<li>Work closely with software engineers to integrate ML tools into the platform infrastructure.</li>
</ul>
Required qualifications to be successful in this role: 
<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.</li>
<li>5+ years of experience in machine learning engineering.</li>
<li>Strong proficiency in Python and machine learning libraries.</li>
<li>Experience building production ML pipelines.</li>
<li>Experience with explainable AI frameworks.</li>
</ul>
Preferred skills include: 
<ul>
<li>Familiarity with bias detection and model fairness techniques.</li>
<li>Experience supporting federal or defense programs.</li>
</ul>

TAWANTECH

<div>Job Summary: 
 
We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
Key Responsibilities:<ul><li>
Develop, train, and deploy machine learning models.
</li><li>Build scalable data pipelines and integrate ML into applications.
</li><li>Perform data preprocessing, feature engineering, and model evaluation.
</li><li>Monitor model performance and implement improvements.
</li><li>Collaborate with engineering and product teams in agile environments.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, or related field.
</li><li>4+ years of ML experience in software/product companies.
</li><li>Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
</li><li>Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
</li><li>Good understanding of statistics, algorithms, and MLOps practices.</li></ul></div>

Machine Learner Engineer

ShrinQ Consulting Group Inc

<div>
 
 
 Role Overview
 
 
 
 We are seeking a Machine Learning Engineer to design, develop, and deploy machine learning models that support data-driven decision-making and intelligent applications. The role involves working with data scientists, engineers, and product teams to build scalable machine learning pipelines and integrate models into production systems.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, train, and optimize machine learning models for real-world applications
 </li>
 <li>
 Build and maintain data pipelines for model training and evaluation
 </li>
 <li>
 Deploy machine learning models into production environments
 </li>
 <li>
 Work with large datasets to extract insights and improve model performance
 </li>
 <li>
 Collaborate with data scientists and software engineers to integrate ML solutions into products
 </li>
 <li>
 Monitor model performance and retrain models as needed
 </li>
 <li>
 Implement best practices for model versioning, testing, and deployment
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field
 </li>
 <li>
 Strong programming skills in Python or similar languages
 </li>
 <li>
 Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Understanding of statistics, data structures, and algorithms
 </li>
 <li>
 Experience with data preprocessing and feature engineering
 </li>
 <li>
 Knowledge of SQL and working with large datasets
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Familiarity with MLOps tools and model deployment pipelines
 </li>
 <li>
 Knowledge of big data technologies like Spark or Hadoop
 </li>
 <li>
 Experience with deep learning and natural language processing (NLP)
 </li>
 </ul>
 
 
</div>

<div>
 
 Job Summary:
 
 
 
 We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models.
 </li>
 <li>
 Build scalable data pipelines and integrate ML into applications.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Monitor model performance and implement improvements.
 </li>
 <li>
 Collaborate with engineering and product teams in agile environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, AI, or related field.
 </li>
 <li>
 4+ years of ML experience in software/product companies.
 </li>
 <li>
 Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
 </li>
 <li>
 Good understanding of statistics, algorithms, and MLOps practices
 </li>
 </ul>
</div>

Acceler8 Talent

<div>
 
 🚨
 
 Hiring: Machine Learning Engineer (Optimization / Decision Systems)
 
 
 
 📍 San Francisco (Onsite)
 
 
 💰 Up to $250K + Equity (Dependent on experience)
 
 
 
 
 
 Most companies still manage digital advertising like it&rsquo;s 2015. Manually adjusting budgets, guessing which campaigns work, and relying on black-box metrics from ad platforms.
 
 
 We&rsquo;re working with a venture-backed startup building something very different:
 
 
 An AI-driven optimization engine that autonomously allocates advertising spend using the same quantitative rigor used in high-frequency trading and financial markets.
 
 
 Instead of humans manually managing campaigns, their system continuously decides:
 
 
 &bull; Where budget should go
 
 
 &bull; When bids should change
 
 
 &bull; Which creative is losing performance
 
 
 &bull; How to maximize return across platforms
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 
 🧠 Build models for LTV prediction and budget optimization
 
 
 ⚙️ Design risk-aware algorithms that control how millions in ad spend is deployed
 
 
 🔌 Build real-time integrations with platforms like Meta, Google &amp; TikTok
 
 
 📊 Develop simulation &amp; backtesting systems before strategies go live
 
 
 🚀 Take models from research &rarr; production &rarr; monitoring
 
 
 
 
 
 
 Ideal Background:
 
 
 
 ✔️ 4+ years in Machine Learning or Applied ML Engineering
 
 
 ✔️ Strong foundation in statistics, probability, and optimization
 
 
 ✔️ Experience deploying ML models in production systems
 
 
 ✔️ Builders who care about real-world impact, not just research
 
 
 
 
 
 ⭐ Bonus if you&rsquo;ve worked in quant finance, algorithmic trading, or adtech
 
 
 
 
 
 
 Why This Role Is Interesting:
 
 
 
 &bull; You&rsquo;ll build systems that control real-world financial decisions
 
 
 &bull; Early engineer helping shape the core architecture
 
 
 &bull; Opportunity to work on a $1T+ global market
 
 
 &bull; Meaningful equity at an early stage
 
 
 
 
 
 If you're interested or know someone who might be, DM me or apply below 👇👇
 
</div>

Booz Allen Hamilton

<div>
 
 Job Number: R0235497
 
 
 
 Machine Learning Engineer
 
 
 
 The Opportunity:
 
 
 
 As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
 
 
 In this role, you&rsquo;ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You&rsquo;ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
 
 
 Work with us to solve real-world challenges and define AI strategy for national security.
 
 
 Join us. The world can&rsquo;t wait.
 
 
 
 You Have:
 
 
 
 <ul>
 <li>
 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models
 </li>
 <li>
 Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Experience with developing code using a common programming language, including Python, C++, Rust, or Java
 </li>
 <li>
 Experience with deep learning, computer vision, or generative AI
 </li>
 <li>
 Experience with supervised and unsupervised learning
 </li>
 <li>
 Experience with data handling and model development
 </li>
 <li>
 Ability to solve client issues and problems
 </li>
 <li>
 Secret clearance
 </li>
 <li>
 Bachelor's degree
 
 
 
 </li>
 </ul>
 
 Nice If You Have:
 
 
 
 <ul>
 <li>
 Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
 </li>
 <li>
 Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis
 </li>
 <li>
 Ability to create software for retrieving, parsing, and processing structured and unstructured data
 </li>
 <li>
 Master's degree
 
 
 
 </li>
 </ul>
 
 Clearance:
 
 
 
 Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
 
 
 
 Compensation
 
 
 
 At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
 
 
 Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
 
 
 
 Identity Statement
 
 
 
 As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
 
 
 
 Work Model
 
 
 
 Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
 
 
 <ul>
 <li>
 If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.
 </li>
 <li>
 If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.
 
 
 
 </li>
 </ul>
 
 Commitment to Non-Discrimination
 
 
 
 All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
</div>

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