Top Machine Learning Jobs in Baltimore, MD

Participate in software development: design, code, test, debug, and implement applications and infrastructure. Review requirements, work with data models, implement automated tests, recommend solutions with senior engineers, and build industry knowledge. Receive mentorship, training, and exposure to leadership.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

The Senior Enterprise Data Architect will design and govern enterprise data and AI architecture by guiding implementation patterns, ensuring scalable solutions, and building prototypes for validation. The role requires deep cloud data platform expertise and strong stakeholder management skills.

Lead advanced analytics efforts to extract value from large, complex NSA/CSS datasets. Design and implement ML/AI models, statistical analyses, data management and reproducible workflows. Translate mission needs into technical requirements, communicate results to nontechnical stakeholders, and recommend solutions aware of NSA/CSS capabilities and limits.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Develop and execute test and evaluation plans for mission-related software and systems: analyze requirements, collect and analyze data, report results, support T&E documentation (strategies, master plans, event plans, readiness assessments, reports), coordinate with other test organizations, and provide specialized T&E capabilities per SOW.

Lead development of CNO capabilities across full project lifecycles: drive exploit development and Linux kernel exploitation, mentor teams, design secure and resilient solutions, leverage AI/ML, and deliver operational proof-of-concept exploits for clients in a fast-paced, agile environment.

Senior Systems Engineer to design and implement data engineering solutions: NiFi on Linux, map and transform IC-provided datasets (XML/CSV/JSON), load into MySQL/NoSQL repositories, document data flows, and support system life-cycle engineering. Desired skills include smart data entitlements, Java, Splunk, cloud/clustered storage, SOA, and secure/compliant system integration.

Support and sustain mission-critical web-based applications for IC data custodians. Extract meaning from structured and unstructured data using statistical and machine learning methods, build data characterization and ingestion workflows, use query/visualization tools, and collaborate with stakeholders to enable compliant data movement and downstream integration.

Develop and deploy machine learning and statistical models to support defensive cyber operations for USCYBERCOM. Curate and integrate diverse data sources, prototype analytic capabilities, monitor model performance, and collaborate with analysts and developers to productionize solutions. Document processes and maintain configuration management for datasets.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Perform data exploration, cleaning, analysis, and visualization; develop predictive models and algorithms using ML/AI/NLP techniques; collaborate with clients to translate data into actionable insights and deploy analytical solutions.

Build, test, and validate sophisticated balance-sheet and investment models to quantify equity, interest rate, credit, liquidity, and other risks. Analyze market data, simulate reporting and hedge programs, apply statistical and predictive techniques, integrate large datasets, implement controls, and recommend defensible modeling choices and risk-management solutions.

Develop, test, and validate sophisticated actuarial and balance-sheet models for insurance liabilities, assets and derivatives. Quantify risks, analyze market data, collaborate across ALM/valuation/risk teams, build controls and efficient workflows, apply statistical and predictive techniques, and provide modeling expertise and solutions.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Support national security operations by applying machine learning, statistical analysis, and scalable data processing to large datasets. Build automated pipelines, curate and transform data, develop and refine analytical algorithms and models, create visualizations and dashboards, and translate mission requirements into reproducible analytics to inform stakeholders.

Design, build, and operate analytics platforms and tools supporting cryptologic and cyber missions. Develop scalable, secure data-driven solutions, perform reverse engineering, forensics, vulnerability research, penetration testing, modeling, and operational support for Computer Network Operations to enable offensive and defensive national security outcomes.

This role involves developing NLP solutions for language data, evaluating models, and enhancing data processing capabilities in a national security context.

Lead revenue generation for Squark AI by building pipeline, running consultative enterprise sales, and closing complex software-plus-services deals for nonprofit fundraising. Shape commercial strategy, package bundled services, translate AI use cases into ROI, manage forecasting and CRM hygiene, and collaborate cross-functionally to create a repeatable go-to-market motion.

Own the research-to-production pipeline: harden training/evaluation workflows, build packaging/deployment tooling, design release gates, optimize inference and serving for latency/throughput, establish benchmarking and validation, and instrument feedback from production to accelerate research iteration.

Conduct R&D on AI/ML and machine translation for SIGINT and cybersecurity applications. Build research prototypes, evaluate and enhance MT tools and text-processing pipelines, and implement containerized solutions. Resolve complex AI technical problems and collaborate with senior technical staff.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

As a Software Developer Intern, you will develop software solutions in an agile environment while collaborating with a dynamic team, focusing on backend and frontend engineering, and applying AI and machine learning.

Serve as principal AI technical advisor to translate emerging AI capabilities into workforce development and mission-focused training. Collaborate with researchers and engineers to define skills, build curriculum, create labs and use cases, support demonstrations and workshops, evaluate technologies, and guide AI governance, MLOps, LLMs, agentic AI, and cybersecurity integration for national security missions.