$55 - $60 per hour
Understanding all aspects of Identity - Human, Machine, and Agent/Application. System... ...Global Services are Allegis Group companies. Learn more at TEKsystems.com.The company is an... ...using AI tools.Job SummaryJob…
Engineering & IT · Baltimore, MD
Machine Learning Engineer jobs in Baltimore, MD
Machine learning engineers take models from notebook to production — building training pipelines, serving infrastructure, and monitoring so ML systems keep working after launch.
120
Open roles today
$45–$116/hr
Typical pay range
$155k
Median, full-time
11
Fresh in this list
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01
Open machine learning engineer roles
12 shown of 120 · sorted by freshness
Engineer I, Electrical - HybridTowson, MD - United StatesThis is a hybrid position that requires onsite work in Towson, minimum 3 Days... ...visa sponsorship (H1B, OPT/CPT, TN etc).The Person: You love to learn and grow…
Engineer I, Mechanical We Don’t Just Build The World, We Build Innovative Technology Too. Come Build The World With UsThis is the career... .... You want to be in an environment where there is room to learn and grow your…
$134.3k - $231.7k
Sr Director, Systems Engineering & Processes - Hybrid3 Days in Towson, Hybrid to TowsonTowson, Maryland, United StatesCome make the world... ...implementation support rather than mandate alone.The Person:You love to lear…
$143.91k
Agency: Centers for Medicare & Medicaid ServicesDepartment: Department of Health and Human ServicesSub agency: Center for Program Integrity (CPI)Salary: Starting at $143,913 Per year (GS 14)Dates: Open 09/21/2026 to 10/0…
$115.2k - $172.8k
Sales, Industrial Specialists and End User Engineers to bring awareness of Schneider Electric... ...Relays, Signaling, Sensors, Human Machine Interface (HMI), Motor Control, Circuit... ...opportunities, the Schneider Car…
become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction... ...00 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aeco…
Job-ID27127872Reference26-01207Information Technology - Engineer, Software Sr PURPOSE: Performs complex analysis, design, development, testing, and debugging of computer software ranging from operating system architectur…
resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental,... ...ability to change the world for the better. Read further to learn how you…
our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your... ...community, but around the world. HDR is looking for Senior Dam Safety Engineers a…
technical expertise and strategic problem-solving to develop imaginative, practical solutions to a wide range of complex Mechanical Engineering challenges.Performing and managing detailed design of mechanical structures…
$77k - $79k
Field Service Engineer I Location: Baltimore, MD Salary: $77,000 - $79,000 per year Who are we? Established in 1975, Shimadzu Scientific Instruments is one of the largest suppliers of analytical instrumentation, physical…
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What machine learning engineers earn in Baltimore
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $45–$63 | $94k–$131k |
| Mid level | $63–$86 | $131k–$178k |
| Senior | $83–$116 | $173k–$242k |
Adjusted for the Baltimore market from national ranges.
03
What employers ask for
The skills these listings keep naming
Python and software engineeringPyTorch or TensorFlowML fundamentals and evaluationModel serving and APIsMLOps (tracking, registries, CI)Docker and KubernetesData pipelines and feature storesLLM fine-tuning and RAG (a plus)Monitoring and drift detection
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Walk me through taking a model from prototype to production.
Cover data pipelines, training reproducibility, serving, and monitoring. Emphasize that the model is a small part of the system — that framing is the job.
How do you monitor a model in production?
Discuss input drift, prediction distributions, delayed labels, and business metrics — plus what triggers retraining. Mention that silent degradation is the default failure mode.
How would you reduce inference latency or cost for a large model?
Options include distillation, quantization, batching, caching, and smaller models. Frame it as measuring first, then choosing the cheapest acceptable quality tradeoff.
Tell me about a time a model failed in production. What happened?
A real story about skew, drift, or a data bug — with detection and prevention — is far more convincing than claiming smooth deployments.
How do you evaluate a model beyond accuracy?
Talk about the metric matching the business cost of errors, slicing by segment, and offline-online gaps. Naming a case where accuracy misled is a strong touch.
When would you fine-tune an LLM versus use retrieval or prompting?
Start cheap: prompting, then RAG for knowledge, fine-tuning for behavior and format. Cost and maintenance burden should drive the answer.
How do you make training reproducible?
Version code, data, and config; track experiments; pin environments. This is engineering discipline applied to ML, which is exactly the role.
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Resume tips that move the needle
For machine learning engineers specifically — generic advice costs you here
01
Center bullets on production systems: models served, request volume, latency, and the business metric they moved.
02
Show software engineering credentials explicitly — testing, CI, code review — since MLE hiring filters hardest on engineering rigor.
03
Name the MLOps tooling you have run (MLflow, SageMaker, Kubeflow, vector databases) as these are common screens.
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Include LLM work with specifics — fine-tuning, RAG, evaluation — if you have it; vague 'GenAI experience' claims read poorly.
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Distinguish your role on shared projects: built the serving layer, owned the pipeline, or trained the model.
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Where this role goes
Typical progression
01
ML Engineer
02
Senior ML Engineer
03
Staff ML Engineer
04
ML Platform Lead
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