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Ml Eng Jobs (NOW HIRING)

BAE Systems

Eng Prin - Sys

Fairborn, OH · On-site

As an ML expert, you will work closely with our customer to implement and assess the scientific validity, robustness, and transparency of ML systems. Your expertise will be crucial in analyzing ...

Celestica

10 - Staff Engineer, Software

Austin, TX · On-site

SEN-ENG-DSE Job Band: 10 Direct/Indirect Indicator: Indirect Summary We're looking for a skilled ... Collaborate closely with hardware design, software development, infrastructure, and AI/ML ...

GPTZero

Sr. Product Manager

New York, NY · On-site

$170K - $250K/yr

D. dropout, R&D at Uber self-driving division and Facebook, 3 patents in ML, 2021 and 2019 Best ML Hack at Stanford * Jacob (Sr. Founding Eng), top of class at Waterloo, ex-Affirm, Lime, Level and ...

Assured

Outbound Product Manager

Palo Alto, CA · On-site

... scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is ... Bridge the gap between what Sales promised and what Eng can build. Sit between Client Engagement ...

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site +1

$94K - $112K/yr

Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning * Develop and deploy AI/ML models using popular frameworks such as TensorFlow ...

Basis AI

Member of Technical Staff - SRE

New York, NY · On-site

$100K - $300K/yr

The distinctions between frontend vs. backend, infra vs. product, ml vs. eng are already melting away. Engineering > Coding Anything that can be clearly defined and verified will be delegated to an ...

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How much do ml eng jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ml eng in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.

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Cybersecurity Solutions Architect/Engineer

Clarksburg, MD • Remote

COMPTACTICS LLC
Network Security • 1 - 10 employees
Learn more about COMPTACTICS LLCexternal

$140K - $160K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Fraud Analytics and Mitigation team needs 2 resources as stated below.
 
Portfolio: Cybersecurity Engineering
Job Location: Morrisville, NC; Falls Church, VA; Eagan, MN; Remote
Requested start date: ASAP after gaining positive adjudication of required background clearance
 
Title: Cybersecurity Solutions Architect/Engineer
Number of Resources: 2
PCTS Project # and Name: 138169 – ENG: Cybersecurity Analytics
 
Task description and/or any specific requirements:
Key Responsibilities: Applies expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization. Leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels. Responds to ad hoc requests from stakeholders to investigate concerns. Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team’s mission and reduce the time needed to deliver analytical insights. Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.
 
Required skills:
  • Applicant must be an expert with data science and AI/ML concepts used for fraud detection. Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement – all developed over many years of client work delivering solutions.
  • Ability to design AI-powered solutions, integrating large language models, computer vision, and advanced analytics into secure, high-performing environments
  • Ability to direct specialized teams comprising of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments.
  • Manages delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS).
  • Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.
 
Expert level knowledge of:
  • AI/ML Solution Architecture
  • Data Science and Advanced Analytics
  • Technology Strategy and Implementation
  • Data Strategy and Governance
  • MLOps and Model Lifecycle Management
  • Azure Databricks
  • Python, SQL, R Development