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Machine Learning Engineer Ts Sci Jobs in Springfield, MA

MANTECH

Security Engineer

Springfield, MA

Must possess an active TS/SCI clearance and be eligible for NGA access prior to starting Physical ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

MANTECH

Senior Cyber Security Analyst

Springfield, MA

$99K - $128K/yr

... Engineering environments Clearance Requirements: * An active TS/SCI with Polygraph is required ... Constantly operates a computer and other office productivity machinery, such as a calculator, copy ...

MANTECH

Senior Cyber Security Analyst

Springfield, MA

$99K - $128K/yr

... Engineering environments Clearance Requirements: * An active TS/SCI with Polygraph is required ... Constantly operates a computer and other office productivity machinery, such as a calculator, copy ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

Infosys

AI Engineer

Hartford, CT · On-site

The role of AI Engineer involves developing and operationalizing machine learning models, ensuring data quality, and collaborating with business and technology teams to create analytics solutions.

Pwc

CTIO AI Engineering Manager

Hartford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

The Hartford

Staff Software Engineer - AI

Hartford, CT

$127K - $191K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Design and develop machine learning techniques that allow agents to learn from experience and adapt ...

Pwc

NGA AI Engineer Manager

Hartford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

MANTECH

Senior Business Analyst

Springfield, MA

$92K - $119K/yr

... engineering, and stakeholder collaboration. Responsibilities include but are not limited to ... Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph.

Infosys

AI Engineer

Hartford, CT · On-site

... AI Engineer to join their Data and Analytics unit. The role involves participating in data ... machine learning techniques and collaborate with technology teams to operationalize them into ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... Machine Learning Overview The Infosys Data and Analytics (DNA) unit is at the forefront of ... Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML ...

Pwc

NGA AI Engineer Senior Manager

Hartford, CT · On-site

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Senior Associate

Hartford, CT · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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All JobsMachine Learning Engineer Ts Sci JobsMachine Learning Engineer Ts Sci Jobs in Springfield, MA

Machine Learning Engineer Ts Sci information

See Springfield, MA salary details

$31.4K

$128.3K

$192.8K

How much do machine learning engineer ts sci jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer ts sci in Springfield, MA is $128,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $154,500.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineer TS/SCI positions?

Machine Learning Engineer TS/SCI positions are specialized roles where engineers design, develop, and implement machine learning models and systems, often for government or defense projects that require a Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance. These professionals work on advanced AI algorithms, data processing, and secure software, ensuring that sensitive information is protected throughout the process. They collaborate with data scientists, software developers, and security experts to solve complex problems using data-driven approaches while adhering to strict security protocols.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer with TS/SCI clearance, and why are they important?

To thrive as a Machine Learning Engineer with TS/SCI clearance, you need strong skills in machine learning algorithms, programming (Python, R), data analysis, and a relevant degree in computer science or a related field, along with active TS/SCI security clearance. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure), and knowledge of secure data handling are commonly required. Excellent problem-solving, teamwork, and clear communication are vital soft skills for collaborating on complex, sensitive projects. These skills ensure effective development of secure, high-impact AI solutions in environments where data protection and analytical precision are critical.

What are some common challenges faced by Machine Learning Engineers with TS/SCI clearance in day-to-day work?

Machine Learning Engineers with TS/SCI clearance often encounter unique challenges, such as working with highly sensitive data in secure environments, which can limit access to certain tools or cloud resources. Collaboration is often restricted to cleared team members, and sharing findings externally is not permitted. Additionally, projects may have ambiguous requirements due to their classified nature, requiring strong problem-solving skills and adaptability. However, these roles offer the chance to work on impactful projects with significant national security implications, providing both technical and professional growth.

What is the difference between Machine Learning Engineer Ts Sci vs Data Scientist?

AspectMachine Learning Engineer Ts SciData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; certifications in ML or AIBachelor's or Master's in Statistics, Data Science, or related fields; certifications in data analysis or visualization
Work EnvironmentDevelops and deploys ML models, often in production environmentsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI firms, R&D departmentsFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Engineer Ts Sci focuses on developing and deploying scalable ML models, whereas Data Scientists primarily analyze data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are popular job titles related to Machine Learning Engineer Ts Sci jobs in Springfield, MA? For Machine Learning Engineer Ts Sci jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Ts Sci jobs in Springfield, MA look for? The top searched job categories for Machine Learning Engineer Ts Sci jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Machine Learning Engineer Ts Sci jobs? Cities near Springfield, MA with the most Machine Learning Engineer Ts Sci job openings:
Machine Learning Engineer Ts Sci jobs near you
Security Engineer

Security Engineer

MANTECH

Springfield, MA

Full-time

Posted 17 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

27th of 205 rated software companies

Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Security Engineer to join our team in Springfield, VA.

This position will serve as the Assessment & Authorization (A&A) authority for the NGA MC&G CPSTN Digital Twin Pilot effort. You will work closely with the Technical Program Manager (TPM) and DevOps teams to design, implement, and maintain a robust security posture protecting a high-fidelity digital twin environment.

Responsibilities include but are not limited to:

  • Leading the compilation, organization, and technical writing of the complete Body of Evidence (BOE) required to successfully navigate the ICD 503 Risk Management Framework (RMF) pipeline for IATT and ATO milestones.

  • Utilizing automated RMF tools such as Telos XACTA to document, track, and map NIST SP 800-53 and CNSSI 1253 security controls within an IL6 cloud environment.

  • Reviewing and hardening automated deployment scripts (e.g., Ansible, Terraform) to ensure hardware abstraction models and virtual environments are provisioned securely.

  • Deploying and managing automated scanning tools—including ACAS (Nessus), SCAP Compliance Checker (SCC), and static code analysis tools—to identify and remediate system vulnerabilities.

  • Auditing and securing containerized environments and service mesh configurations to guarantee data isolation, secure transit, and continuous monitoring compliance.

  • Serving as the primary technical interface to NGA Information System Security Officers (ISSOs) and Authorizing Officials (AOs) to clear security roadblocks.

  • Working with all stakeholders to ensure the Drift Management Capability securely monitors and maintains parity between the digital twin and the live NGA CORE classified production environment.

Minimum Qualifications:

  • High School Diploma/GED with 10+ years of experience, or a Bachelor’s degree in Cybersecurity, Systems Engineering, or a related technical field with 6–10 years of progressive experience.

  • 3+ years of direct experience supporting DoD or Intelligence Community (IC) RMF processes.

  • Proven experience securing hybrid cloud environments and infrastructure utilizing Ansible or QEMU-KVM architectures.

  • Direct experience delivering a system from initial registration through IATT/ATO approvals within an IC or DoD classified boundary.

  • Strong knowledge of cybersecurity frameworks including ICD 503, NIST SP 800-53, CNSSI 1253, and DISA STIGs.

Preferred Qualifications:

  • Certified Information Systems Security Professional (CISSP), CISSP-ISSEP, CISM, or CAP certification.

  • Deep familiarity with NGA networks, NGA mission threads, and specific security accreditation processes.

  • Self-starter with excellent people skills who can embed security compliance into rapid prototyping or iterative DevSecOps sprint cycles and drive change throughout an organization.

Clearance Requirements:

  • Must possess an active TS/SCI clearance and be eligible for NGA access prior to starting

Physical Requirements:

  • Must be able to remain in a stationary position 50% of the time.

  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

  • Frequently communicates with co-workers, management, and customers, which may involve delivering high-level technical presentations to executive stakeholders.

  • Must be able to exchange accurate information in these situations.

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