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Ibm Machine Learning Jobs (NOW HIRING)

DEKA

Machine Learning Engineer

Manchester, NH · On-site

We're looking for a Machine Learning Engineer who can operate at the intersection of backend ... Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB) * Familiarity with ...

IBM

Co-Op Data Engineer - 2027

University Park, PA · On-site

... machine learning, data science, GenAI, and agentic AI solution patterns. This role provides an ... At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ...

IBM

Research Scientist

Chicago, IL · On-site

Your role and responsibilities IBM Research is seeking a research scientist to advance novel quantum algorithms across quantum simulation and machine learning. The role focuses on developing quantum ...

IBM

Research Scientist

Chicago, IL · On-site

Your role and responsibilities IBM Research is seeking a research scientist to advance novel quantum algorithms across quantum simulation and machine learning. The role focuses on developing quantum ...

IBM

AI/ML Security Architect and Engineer

Boston, MA · On-site

$99 - $142/hr

A career in IBM Consulting is built on long-term client relationships and close collaboration ... Develop and deploy machine learning models for threat detection, anomaly detection, malware ...

New

IBM

Data Scientist - AI & Advanced Analytics

Boston, MA · On-site

$101 - $128/hr

At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI ... AI and machine learning will form a significant element of your work, alongside broader advanced ...

IBM

Associate Data Engineer - AI & Analytics - 2027

Monroe, LA · On-site

$56K - $57K/yr

... Machine Learning, Generative AI, or data-driven decision-making concepts gained through coursework, projects, research, certifications, IBM SkillsBuild, or self-directed learning. • Exposure to ...

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Ibm Machine Learning information

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$25.5K

$42.6K

$88K

How much do ibm machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ibm machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an IBM Machine Learning engineer?

An IBM Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models using IBM's suite of tools and platforms, such as IBM Watson, SPSS Modeler, and IBM Cloud. They work with large datasets to develop predictive models, automate decision-making processes, and solve complex business problems. These engineers collaborate with data scientists, software developers, and business stakeholders to implement AI solutions that drive innovation and efficiency within organizations.

What are the key skills and qualifications needed to thrive as an IBM Machine Learning engineer?

To excel as an IBM Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning algorithms. Familiarity with IBM tools such as Watson Studio, SPSS Modeler, and cloud-based platforms, along with proficiency in Python or R, is essential. Strong problem-solving, communication, and collaboration skills help you translate business requirements into data-driven solutions. These competencies are crucial for effectively designing, deploying, and maintaining impactful machine learning models within IBM's ecosystem.

What types of projects and collaboration can I expect as an IBM Machine Learning specialist?

As an IBM Machine Learning specialist, you can expect to work on diverse projects ranging from developing predictive models to automating business processes with AI. You will frequently collaborate with data scientists, software engineers, and business analysts to translate complex data into actionable insights. The environment is typically agile and encourages cross-functional teamwork, where you'll participate in regular meetings, code reviews, and brainstorming sessions. These collaborations not only enhance project outcomes but also offer valuable opportunities for professional growth and knowledge sharing.

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

AspectIbm Machine LearningData Scientist
Required CredentialsCertifications in IBM AI/ML tools, programming skillsDegree in CS, statistics, or related field; often certifications in data analysis
Work EnvironmentFocus on developing and deploying ML models using IBM platformsData analysis, model building, and interpretation across various tools
Industry UsagePrimarily in organizations using IBM cloud and AI solutionsAcross industries, using diverse tools and programming languages

IBM Machine Learning specialists focus on deploying ML models within IBM ecosystems, while Data Scientists analyze data and build models using various tools. Both roles require programming skills, but Data Scientists often have broader analytical responsibilities. The choice depends on whether you prefer working within IBM platforms or a more general data analysis environment.

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Ibm Machine Learning jobs near you
Infographic showing various Ibm Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

DEKA Research & Development

Manchester, NH • On-site

Full-time

Re-posted 7 days ago

Job description

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML models, and architect scalable data pipelines that make a measurable difference — this is your opportunity, and it starts with the software you design and deliver at DEKA.
This role is on-site at DEKA in Manchester, NH. Relocation is not available, local candidates only.
How You Will Make an Impact:
  • Design and implement scalable backend services and microservices powering data-intensive, real-world applications
  • Build and deploy production ML models across the full lifecycle from feature engineering and training through evaluation, deployment, and monitoring
  • Develop and maintain event-driven distributed pipelines using Apache Kafka, Apache Spark, and related technologies
  • Architect systems that integrate ML models with rule-based decision engines for automated, real-time decisioning
  • Collaborate across disciplines to translate complex requirements into reliable, elegant engineering solutions
  • Contribute to AI/LLM-driven workflows and orchestration systems that push the boundaries of what software can do
Required Experience/Knowledge:
  • M.S. in Computer Science, AI, or a related field
  • 6+ years in backend software engineering and distributed systems
  • Strong proficiency in Java (Spring Boot, Spring MVC, Hibernate) and Python
  • Hands-on experience building and deploying production ML models (PyTorch or equivalent)
  • Experience with distributed systems and streaming technologies: Apache Kafka, Apache Spark, ZooKeeper
  • Solid understanding of microservices architecture, REST/SOAP APIs, and object-oriented design
  • Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB)
  • Familiarity with AWS or equivalent cloud platforms
  • Strong problem-solving skills
  • Intrinsic drive to understand how things work and make them better
  • Excellent communicating and collaboration across engineering, data, and product teams
  • Strong attention to detail

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