Top Machine Learning Jobs in Baltimore, MD

Lead development and maintenance of character creation, rigging, animation, and simulation tools for game production. Collaborate with artists, engineers, studios, and research teams to prototype workflows, integrate game engines, optimize environments, and apply AI/ML to improve development efficiency. Build and customize internal tools, automate project environments, troubleshoot production issues, document systems, and support varied client pipelines. Participate in internal demonstrations and conferences, with required travel.

Define and execute the market strategy for UserTesting’s AI solutions. Own positioning, messaging, value propositions, go-to-market plans, sales enablement, customer and buyer research, competitive differentiation, thought leadership, and market feedback loops. Translate complex AI workflows and human-judgment applications into compelling solutions for technical enterprise buyers, while influencing product and company strategy through cross-functional leadership.

Manage strategic enterprise accounts across a national territory, expanding existing customers and acquiring new logos. Build consultative account strategies, serve as a trusted AI and customer experience advisor, develop customer and channel-partner relationships, forecast and exceed bookings targets, and coordinate cross-functional teams to maximize customer and business outcomes. Support initiatives across the customer lifecycle, including business development, messaging, commercial positioning, and operational effectiveness.

Designs and implements AI/ML capabilities for cyber and intelligence workflows, including LLM-powered and agentic automation. Captures mission-user workflows, integrates AI systems with APIs and enterprise data stores, and delivers reliable solutions for classified environments. Collaborates with analysts, operators, developers, and leadership to improve analytical efficiency, data accessibility, and decision-making while meeting security and governance requirements.

Develop machine learning and AI models using clinical, claims, and social determinants of health data to improve pediatric patient outcomes. Partner with stakeholders and cross-functional teams to define requirements, optimize data collection, build data assets, conduct exploratory analysis, and deliver strategic and patient-care insights. Query Snowflake independently and present findings to nontechnical staff.

Leads product strategy, roadmap development, prioritization, product metrics, and go-to-market execution for a marketing planning and analytics platform. Manages and coaches product managers while acting as an individual contributor on key initiatives. Partners with the CEO, engineering, sales, marketing, and leadership teams to deliver API-based, data-heavy statistical and machine learning products for technical B2B SaaS customers.

Owns the strategy, roadmap, development, and adoption of financial data products and APIs. Partners with data science and engineering to integrate predictive and machine-learning models into scalable, trustworthy capabilities. Defines quality metrics, requirements, documentation, and support models while ensuring privacy, security, regulatory compliance, and downstream adoption across consumer and business banking products.

Maintains and optimizes Oracle, SQL Server, and Sybase databases across large-scale compute and AWS environments. Responsibilities include database security, availability, disaster recovery, performance tuning, index maintenance, monitoring, user administration, data modeling, lifecycle management, database architecture coordination, and installation of database systems, tables, and views. Requires an active TS/SCI clearance with polygraph, 10 years of DBA experience, and a technical bachelor's degree or equivalent experience.

Manage, monitor, troubleshoot, and maintain large-scale Hadoop clusters and AWS cloud infrastructure supporting cyber intelligence and AI/ML capabilities. Configure Linux systems, networking, provisioning, hardware, security tools, and configuration management platforms. Develop Bash, Perl, or Python scripts; diagnose distributed storage systems; support Kubernetes, Docker, load balancing, and observability tools. Collaborate across mission teams, lead complex technical tasks, and mentor junior resources.

Administers Oracle, SQL Server, and Sybase databases supporting cloud-based AI/ML and national security systems. Responsibilities include database security, integrity and availability; user account management; disaster recovery; performance analysis and tuning; index maintenance; monitoring; data modeling; policy development; DBMS evaluation; server administration; and database lifecycle activities. The role requires an active TS/SCI clearance with polygraph and five years of comparable DBA experience.

Designs, develops, tests, deploys, monitors, and continuously improves machine learning models for complex business and national security missions. Integrates data pipelines, evaluates model performance, ensures data and output quality, and transforms prototypes into scalable production solutions. Requires strong expertise in machine learning algorithms, software architecture, data engineering, model validation, and system integration. The role may lead distributed teams and requires an active TS/SCI clearance with polygraph.

Leads enterprise AI/ML strategy, architecture, development, deployment, and productization for mission-critical initiatives. Builds and mentors engineering teams, advises customers, develops scalable machine learning solutions, and transforms prototypes into secure production systems. Oversees cloud-native architectures, MLOps, CI/CD pipelines, enterprise integration, and model lifecycle management. Supports NLP, predictive analytics, anomaly detection, computer vision, and generative AI while engaging customer and technical leadership.

Performs security assessments and engineering for AI/ML systems, large-scale compute clusters, AWS Cloud infrastructure, networks, and enclave environments. Designs and integrates information assurance architectures, identifies and mitigates security risks, validates security requirements, supports certification and accreditation, and enforces trusted relationships and government security policies. Collaborates with engineering teams and government customers on secure system development and operational deployment.

Designs and leads user experience solutions for AI/ML and cyber intelligence systems. Responsibilities include user research, requirements gathering, interaction design, visual design, storyboards, prototypes, interface guidelines, customer presentations, and collaboration with product owners, developers, stakeholders, and engineering teams. The role supports agile product development in AWS cloud environments and requires an active TS/SCI clearance with polygraph.

Develop and sustain cloud software supporting cyber intelligence and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java software development, cloud integration, testing, troubleshooting, RESTful services, distributed systems, big-data technologies, Linux development, and technical documentation. The role also involves LLM, RAG, agentic AI, Kubernetes, infrastructure-as-code, CI/CD, and cloud security practices. An active TS/SCI clearance with polygraph is required.

Administers, monitors, troubleshoots, and maintains large-scale Hadoop and AWS cloud clusters supporting AI/ML and national security missions. Responsibilities include Linux systems administration, scripting, distributed storage troubleshooting, network provisioning, configuration management, hardware diagnostics, security compliance, and cloud infrastructure development. The role requires expertise with AWS, Linux, Puppet, Salt, Kubernetes, Docker, distributed databases, provisioning systems, and remote troubleshooting utilities, along with an active TS/SCI clearance with polygraph.

Develops and leads systems engineering activities for cyber intelligence and AI/ML capabilities hosted on large-scale compute clusters and AWS Cloud. Responsibilities include requirements analysis, system architecture and design, interface definition, technical documentation, risk and configuration management, systems integration and testing, verification planning, and security and accreditation support. The role provides technical leadership across integrated product teams and coordinates with government stakeholders to ensure system technical integrity.

Designs, develops, tests, deploys, monitors, and continuously improves machine learning models supporting business and national security mission requirements. Integrates data pipelines, evaluates model performance, ensures data integrity, and transforms prototypes into scalable production systems. Requires expertise in machine learning frameworks, data engineering, software architecture, statistical analysis, and model validation. The role may provide technical leadership for distributed teams and requires an active TS/SCI clearance with polygraph.

Develop and integrate cloud software supporting cyber intelligence and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java development, RESTful services, distributed systems, cloud deployment, DevOps, container orchestration, testing, integration, Linux scripting, and troubleshooting. The role also involves big-data technologies, Hadoop ecosystems, LLMs, RAG, analytics, and secure software engineering for national security missions.

Design, develop, test, deploy, and operationalize AI/ML algorithms for mission and business requirements. Build scalable production models, integrate data pipelines, evaluate model performance, and manage training, retraining, monitoring, and continuous improvement. Apply statistical analysis, data governance, software architecture, and data modeling principles. Support system integration and verification/validation activities, with potential leadership of distributed teams and technical customer engagement.

Provides system administration for UNIX, Linux, Solaris, and Windows environments supporting cyber intelligence and AI/ML capabilities. Maintains client/server, storage, network, and mobile systems; performs monitoring, troubleshooting, capacity planning, performance tuning, configuration, and Tier 1 and Tier 2 support. Requires active TS/SCI clearance with polygraph, five years of system administration experience, technical education or equivalent experience, Security+ certification, scripting skills, networking knowledge, and Oracle administration experience.

Provides Tier 1 and Tier 2 IT support, system monitoring, troubleshooting, configuration, maintenance, and user assistance for UNIX, Windows, network, storage, and client/server environments. Manages daily system operations, resolves hardware and software issues, maintains system integrity, and supports cyber and AI/ML capabilities hosted on compute clusters and AWS infrastructure. An active TS/SCI clearance with polygraph and Security+ certification are required.

Develops system requirements, architectures, designs, technical documentation, and integration and test plans for cyber and AI/ML capabilities. Leads systems engineering activities across requirements allocation, interfaces, configuration control, verification, and system implementation. Supports large-scale compute clusters and AWS Cloud infrastructure while coordinating with government stakeholders and cross-functional teams. Requires active TS/SCI clearance with polygraph and seven years of comparable systems engineering experience.

Administer, monitor, troubleshoot, and maintain large Hadoop clusters and AWS cloud infrastructure supporting AI/ML and national security missions. Manage Linux systems, scripting, provisioning, configuration management, distributed storage, hardware diagnostics, security practices, and cloud services. Collaborate across mission-focused teams, lead complex technical tasks, train junior staff, and support technologies including Kubernetes, Docker, load balancers, and observability platforms.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.