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Ibm Machine Learning Jobs (NOW HIRING)

IBM

Senior Managing BTP Integration Lead

Dallas, TX · On-site

... machine learning. • Optimize Solution Delivery: Develop and optimize solution delivery ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

IBM

Software Developer ELH

Austin, TX · On-site

... Familiarity with Machine Learning fundamentals and modern LLM-based agent architectures. • ... IBM provides technology and consulting, including software, infrastructure systems, and cloud-based ...

IBM

Customer Success Engineer Co-op Fall 2026

Dallas, TX · On-site

IBM is a leading technology company, and they are seeking a Customer Success Engineer Co-op to help ... Experience in Machine Learning, Deep Learning, Large Language Models. • Proficiency in Python and ...

IBM

Customer Success Engineer Co-op Fall 2026

Mclean, VA · On-site

IBM is a leading technology company, and they are seeking a Customer Success Engineer Co-op to help ... Experience in Machine Learning, Deep Learning, Large Language Models. • Proficiency in Python and ...

IBM

Software Developer ELH

Bellevue, WA · On-site

Familiarity with Machine Learning fundamentals and modern LLM-based agent architectures ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

New

IBM

Software Developer ELH

Austin, TX · On-site

Familiarity with Machine Learning fundamentals and modern LLM-based agent architectures ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

IBM

Software Developer ELH

San Jose, CA · On-site

... Familiarity with Machine Learning fundamentals and modern LLM-based agent architectures. • ... IBM provides technology and consulting, including software, infrastructure systems, and cloud-based ...

IBM

Software Developer ELH

San Jose, CA · On-site

Familiarity with Machine Learning fundamentals and modern LLM-based agent architectures ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

IBM

Hyperscaler AI Lead

Chicago, IL · Hybrid

Design and guide the implementation of scalable AI and machine learning architectures using ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

IBM

Hyperscaler AI Lead

Dallas, TX · Hybrid

Design and guide the implementation of scalable AI and machine learning architectures using ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

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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 Jun 3, 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 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 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 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 May 2026, with employment types broken down into 2% As Needed, 38% Full Time, and 60% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineering Consultant (Hybrid)

Machine Learning Engineering Consultant (Hybrid)

Securian Financial

Saint Paul, MN • On-site

$130K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Securian Financial rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

*Securian Financial Groups internal position title is Machine Learning Engineering Consultant.
Position Summary:
Are you ready to make a real impact at the forefront of artificial intelligence? Join Securian's dynamic and rapidly expanding AI Center of Excellence as a Machine Learning Engineer Consultant! In this exciting role, you'll collaborate with talented experts to build innovative solutions that address our company's evolving business challenges.
Responsibilities include but not limited to:
  • Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains.
  • Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
  • Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
  • Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation. Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
  • Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
  • Deploy, test, and optimize ML models and data pipelines in production environments.
  • Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
  • Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.

Qualifications:
  • Bachelor's degree or higher in Computer Science, Machine Learning, or a related field, or equivalent industry experience. Candidates with an advanced degree, such as a Master's or Ph.D., or a bachelor's degree with relevant professional experience are encouraged to apply.
  • 5+ years of experience in a similar role in a production environment.
  • Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc.
  • Hands-on experience with cloud computing platforms such as AWS.
  • Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit-learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc.
  • Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc.
  • Experience with iterative development processes, thriving in dynamic and agile environments.
  • Ability to own ML delivery tasks end-to-end with little to no direct support. Hands-on experience in deploying machine learning models into production environments.
  • Strong understanding of software design patterns, principles, architecture, and operations.
  • Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross-functional teams.

#LI-Hybrid **This position will have a hybrid working arrangement, working in-office for a minimum of 3 days a week.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
Preferred Skills:
The estimated base pay range for this job is:
$130,000.00 - $210,000.00
Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
  • We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
  • Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
  • Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
  • Mental Wellness and Disability
  • Pride at Securian Financial
  • Securian Young Professionals Network
  • Securian Multicultural Network
  • Securian Women and Allies Network
  • Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at Employment@Securian.com, by telephone 651-655-5522 (voice), or 711 (Relay/TTY).
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