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Machine Learning Engineer Jobs in Berlin, MD (NOW HIRING)

Manufacturing Engineer

Salisbury, MD · On-site

$78K - $100K/yr

Has direct influence on Continuous Improvement methodologies and creating a culture of learning and ... Machining, castings or Injection molding). Good Industrial engineering skills (time motion studies ...

Has direct influence on Continuous Improvement methodologies and creating a culture of learning and ... Machining, castings or Injection molding). Good Industrial engineering skills (time motion studies ...

Has direct influence on Continuous Improvement methodologies and creating a culture of learning and ... Machining, castings or Injection molding). Good Industrial engineering skills (time motion studies ...

Engineer I Hybrid - Must reside or be willing to relocate to one of our service locations in DE, FL, MD, PA, OH, VA, GA, NC Your role in our success will be... The Engineer I oversees the design ...

Sr. Engineer

Salisbury, MD · On-site

$103.20K - $141.70K/yr

Sr. Engineer (DER Interconnection) Electric Utilities About PowerRise PowerRise is a premier provider of engineering, architecture, and project/construction management services for electric and gas ...

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

You?ll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise.Communicates ...

You?ll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise.Communicates ...

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

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Showing results 1-20

Machine Learning Engineer information

See Berlin, MD salary details

$30.3K

$123.7K

$185.8K

How much do machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning engineer in Berlin, MD is $123,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $148,900.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Berlin, MD? The most popular types of Machine Learning Engineer jobs in Berlin, MD are:
What cities near Berlin, MD are hiring for Machine Learning Engineer jobs? Cities near Berlin, MD with the most Machine Learning Engineer job openings:
Operational Technology Data Engineer

Operational Technology Data Engineer

Perdue Farms

Salisbury, MD • On-site

$113.10K - $135.80K/yr

Full-time

Posted 21 days ago


Perdue Farms rating

6.2

Company rating: 6.2 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

271st of 379 rated food and drinks producers


Job description

Job Summary:
Perdue AgriBusiness is an international agricultural products and services company that is part of Perdue Farms, a family-owned food and agricultural business. They are seeking an Operational Technology Data Engineer to modernize industrial data capture and transform it into actionable insights by building scalable data pipelines and partnering with cross-functional teams to enhance operational performance.
Responsibilities:
• Administer, maintain, and optimize OT data historian systems (e.g., AVEVA PI, FactoryTalk Historian, Canary, Ignition).
• Ensure high quality, continuous capture of time series data from PLCs, SCADA, sensors, and edge systems.
• Troubleshoot data flow issues and improve ingestion patterns such as compression, buffering, and contextualization.
• Design and implement secure, scalable OT data pipelines following OT IT segmentation standards.
• Develop cloud ingestion workflows using historian replication tools, edge gateways, IoT messaging systems, or custom pipelines.
• Ensure reliable, governed, one way movement of OT data to cloud environments.
• Partner with Enterprise Architecture and BI teams to define OT data models, metadata standards, and governance requirements.
• Transform raw OT datasets into curated, production ready assets for analytics, reporting, and machine learning.
• Implement repeatable data onboarding frameworks to support multi-site expansion.
• Apply enterprise naming conventions, metadata standards, and data validation rules.
• Monitor pipeline health, latency, schema changes, and historian system integrity.
• Follow cybersecurity standards for OT—ensuring read only access, one-way pathways, and adherence to network segmentation policies.
• Work closely with business leadership, operations, engineering, maintenance, controls, IT infrastructure, and enterprise data teams.
• Participate in design reviews, architecture discussions, and continuous improvement initiatives.
• Translate plant floor needs into scalable enterprise data solutions.
Qualifications:
Required:
• Bachelor’s Degree in Engineering, Computer Science, IT, Data Engineering, or related field—or equivalent experience.
• 4+ years of experience with OT systems, industrial data, or data engineering.
• Hands-on experience with data historian platforms (e.g., AVEVA PI, FT Historian, Canary, Ignition).
• Proficiency in data pipeline tools such as SQL, Python, REST APIs, or cloud ingestion frameworks.
• Familiarity with industrial protocols (EtherNet/IP, Modbus, OPC UA) and SCADA/PLC environments.
• Understanding of cloud data platforms (Azure, AWS, Snowflake, or Databricks) and time-series data modeling.
• Knowledge of OT cybersecurity concepts, segmentation, and iDMZ architectures.
• Knowledge of ISA 95, IEC 62443, or OT risk management frameworks.
Preferred:
• Experience building or supporting enterprise OT to cloud data architectures.
• Exposure to enterprise data lakes, data governance frameworks, and metadata/catalog platforms.
• Experience with OPC UA, MQTT, and modern IIoT platforms for secure, scalable industrial data integration.
• Hands-on experience developing Power BI dashboards or working with analytics teams to transform OT data into actionable visualizations.
Company:
Perdue Farms is dedicated to enhancing the quality of life for everyone we touch through innovative food and agricultural products Founded in 1920, the company is headquartered in Salisbury, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Perdue Farms employees say

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Benefits

Hours and flexibility

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