ZipRecruiter

Log In

1

Ibm Machine Learning Jobs (NOW HIRING)

GMV

Internship: Data analyst

Naples, NC · On-site +1

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

AI Innovation Leader

New Albany, IN · On-site +1

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

AI Software Engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

Senior Data Analyst

Naples, NC · On-site +1

$82K - $103K/yr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

Data Architect

North Brunswick, NJ · On-site +1

$67.25 - $86.50/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

Data Architect

Naples, NC · On-site +1

$61 - $78.50/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

AI Software Engineer

North Brunswick, NJ · On-site +1

$58.75 - $77.75/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

AI Innovation Leader

North Brunswick, NJ · On-site +1

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

GMV

AI Innovation Leader

Naples, NC · On-site +1

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

next page

Showing results 1-20

All JobsIbm Machine Learning Jobs

Ibm Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do ibm machine learning jobs pay per year?

As of Jul 1, 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 are the key skills and qualifications needed to thrive as an IBM Machine Learning Engineer, and why are they important?

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 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 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.

More about Ibm Machine Learning jobs
What cities are hiring for Ibm Machine Learning jobs? Cities with the most Ibm Machine Learning job openings:
What states have the most Ibm Machine Learning jobs? States with the most job openings for Ibm Machine Learning jobs include:
What job categories do people searching Ibm Machine Learning jobs look for? The top searched job categories for Ibm Machine Learning jobs are:
Ibm Machine Learning jobs near you
Infographic showing various Ibm Machine Learning job openings in the United States as of June 2026, with employment types broken down into 21% Full Time, 52% Part Time, 13% Temporary, 10% Contract, and 4% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

CTO - Economic Risk Management (ERM)

risk

San Francisco, CA • On-site

Other

Posted 21 days ago

Job description

CTO - Economic Risk Management (ERM) San Francisco, CA - Full Time Equity - join the founding team 3 to 4 years experience preferred Computer Science / Physics / Applied Math / Financial Engineering - background in machine learning algorithms, distributed computing, and data mining preferred DESCRIPTION: CTO - Algorithms, Data Structures, Hadoop, Java, Python, R, BASH programs Skills Required - Data mining of large data sets (Big Data!), Hadoop, Java / Python / C++, Linux, Statistics and Probability Theory We're a San Francisco based startup that specializes in developing supply chain risk management software for the manufacturing, construction, and transportation industries. Our founders studied at Berkeley and Stanford, and have worked at some of the leading companies in software, finance, and manufacturing, including IBM, Axioma, FTSE, Alphacet, MSCI, and Toyota. Our advisers include David Leinweber of LBNL, and our research includes several published papers, a working prototype, and a large database of financial and economic time series.

We have two development clients - a large manufacturing company and an even larger supply chain certification firm. Going forward, we're looking for a brilliant systems architect to build out the platform. The ideal candidate will be a Computer Scientist who can write software to analyze terabytes of data and billions of rows to discover correlations and patterns in economic data, and to come up with algorithms and strategies for reducing customers' risk exposure.

Typical candidates for this role have not only developed data mining algorithms but also built large scale systems incorporating them. RESPONSIBILITIES: ~Research, investigate, pick industrial data mining/machine learning algorithms. ~Implement these algorithms using grid computing & affect the product direction.

~Develop and support the data store and cloud compute cluster EXPERIENCE: 1.) Experience in data mining and machine learning on large amounts of sparse data. Must have a good understanding of algorithms, data structures, performance optimization techniques, and object-oriented programming. Large scale data manipulation

2.) BS/MS in Computer Science / Physics / Applied Math / Financial Engineering (with emphasis in data mining/machine learning/artificial intelligence/mathematics/OR). 3.) Experience developing software using Java / Python / C++ / R on Linux. Experience with Hadoop or MapReduce is a huge plus

4.) Should have a strong background in Linear algebra/Matrix operations. Other strong pluses and areas of interest include: ~Machine learning algorithms (neural networks, support vector machines, bayes, genetic algorithms) ~Grid Computing/Parallel Computing/Distributed Computing ~Time series analysis (GARCH, ARMA, etc.) ~Statistical analysis (regression, correlation) ~Experience with Monte Carlo simulation

Apply