$27 - $32 per hour
MedTech is seeking Mechanical Field Service Engineers to support a nationwide medical device... ...hydraulic assemblies on dialysis machines. Complete required rinse, flush, testing... ...outcomes and population health w…
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.
141
Open roles today
$45–$116/hr
Typical pay range
$155k
Median, full-time
4
Fresh in this list
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01
Open machine learning engineer roles
12 shown of 141 · sorted by freshness
Ciena Corporation is a technology leader in high-speed connectivity. This role provides on-site technical support for Ciena products and allows telecommuting from anywhere in the United States. Experience in post-sales s…
A leading open-source software company is seeking a Junior developer to join the Observability team. This remote role requires strong Python skills, with knowledge of Go preferred. The ideal candidate will help develop a…
$102k - $135k
liquid launch vehicle, this is your opportunity! SENIOR FACILITIES ENGINEER II As a Senior Facilities Engineer, you will be a key driver... ...State and/or the U.S. Department of Commerce, as applicable. Learn more about…
$80k - $120k
Plumbing Designer or Engineer Location: Baltimore, MD, 21209; Norfolk, VA, 23510 Country: United States Salary: $80000-$120000 Start Date: Description: Reports to: Board of Directors, Principal, or Market Sector Leader R…
SFLC business operations and logistics integration. This role will leverage advanced analytics, data modeling, automation, and data engineering methods to enhance data quality, accessibility, usability, and decision-maki…
continuous monitoring and automated assessments. Support data engineering operations including data quality validation, pipeline... ...Capabilities/Experience Desired: Elasticsearch RegEx Machine learning Natural Languag…
$68k - $70k
OVERVIEW The number one goal of everyone in our team is to make our Clients exceptionally happy. The IT Field Engineer plays an important role in making sure that happens. The IT Field Engineer handles escalated support…
The ENGINEERING MAINTENANCE TECHNICIAN III investigates building systems and documents operational data. Prepares recommendations for system improvements, maintenance programs and evaluations. Performs as technical leade…
The Engineering/ Maintenance Technician I investigates building systems and documents operational data. Prepares recommendations for system improvements, maintenance programs and evaluations. Performs as technical leader…
The Engineering/ Maintenance Technician II Investigates building systems and documents operational data. Prepares recommendations for system improvements, maintenance programs and evaluations. Performs as technical leade…
$36 - $42 per hour
Position Overview We are seeking a Field Service Engineer to install, maintain, troubleshoot, and repair advanced industrial machinery... ...motion systems and guideways, hydraulic or pneumatic systems, and machine geome…
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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.
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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.
05
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.
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Show software engineering credentials explicitly — testing, CI, code review — since MLE hiring filters hardest on engineering rigor.
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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
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Senior ML Engineer
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Staff ML Engineer
04
ML Platform Lead
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