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Machine Learning Quantum Computing Jobs in Columbus, OH

Crowe LLP

AI Infrastructure Engineer

Columbus, OH · On-site

$103K - $136K/yr

Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus ... You've gone deeper than reading blog posts, ideally having several example machine learning ...

Sensiple Inc.

Core Java Developer

Columbus, OH · On-site

... Cloud Computing & Independent Testing. With an expert team that has enriched experience in ... intelligence, machine learning, mobile, etc.) • Preferred qualifications, capabilities, and ...

Judge Group, Inc.

Full Stack Developer

Columbus, OH · On-site

Exposure to specialized technical domains such as cloud computing, artificial intelligence, or machine learning. Additional Information * This role requires strong problem-solving skills, attention ...

Judge Group, Inc.

Java Developer

Westerville, OH · On-site

$60 - $70/hr

Exposure to specialized technical domains such as cloud computing, artificial intelligence, or machine learning. Additional Information * This role requires strong problem-solving skills, attention ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Columbus, OH

Machine Learning Quantum Computing information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

How much do machine learning quantum computing jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning quantum computing in Columbus, OH is $41,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

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

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in Columbus, OH? For Machine Learning Quantum Computing jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Columbus, OH look for? The top searched job categories for Machine Learning Quantum Computing jobs in Columbus, OH are:
Machine Learning Quantum Computing jobs near you
Infographic showing various Machine Learning Quantum Computing job openings in Columbus, OH as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,131 per year, or $19.8 per hour.
Asset Management - Fixed Income High Yield & Systematic Investment Specialist - Associate

Asset Management - Fixed Income High Yield & Systematic Investment Specialist - Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

$135K - $150K/yr

Full-time

Medical, Retirement

Posted 15 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


The Global Fixed Income, Currency and Commodities team (GFICC) at J.P. Morgan Asset Management is one of the world's deepest and best-resourced fixed income managers, with expertise across all major fixed income sectors, including niche markets. Every investment decision in our fixed income solutions is underpinned by the proprietary research of a globally integrated team of sector specialists. GFICC manages a broad range of strategies - including High Yield, Systematic Fixed Income, Short Duration, Core/Core Plus, Investment Grade Credit, Emerging Market Debt, Securitized, and Tax-Aware strategies - through funds and separate accounts across the globe.
Role Overview
As an Analyst or Associate Investment Specialist within GFICC, you will support the High Yield and Systematic investment businesses. This is a dual-mandate role: you will contribute to client-facing investment specialist responsibilities while serving as a technology and innovation resource for the broader GFICC team. You will work at the intersection of fixed income markets and cutting-edge technology, applying tools including artificial intelligence, machine learning, and advanced data analytics to drive efficiencies, improve workflows, and generate insight across the platform. We are looking for a naturally curious problem-solver who brings both investment market awareness and genuine technical depth, and who thrives in a fast-paced, intellectually demanding environment.
Job Responsibilities
Investment Specialist Support
  • Partner with senior Investment Specialists, Portfolio Managers, and Client Advisors on new business development and client retention across High Yield and Systematic strategies.
  • Contribute to the production of pitch materials, RFPs, and due diligence responses.
  • Prepare fund and strategy presentations, performance commentaries, and other client communications.
  • Participate in client meetings and internal forums to support articulation of market views, portfolio positioning, and performance attribution.
  • Assist in addressing client inquiries related to current market events and portfolio dynamics.
  • Support training of the J.P. Morgan Asset Management sales force on fixed income and quantitative topics.

Technology, AI & Innovation
  • Proactively identify opportunities to leverage AI, large language models, automation, and advanced data tools to streamline workflows across GFICC.
  • Design and build scalable solutions - using Python, APIs, and relevant AI frameworks - to reduce manual effort in performance reporting, market commentary generation, data aggregation, and presentation production.
  • Stay current on emerging technologies and evaluate their practical applicability within an asset management context.
  • Collaborate with technology, data, and investment teams across GFICC to translate business problems into well-engineered, repeatable solutions.
  • Bring a rigorous, solutions-oriented mindset to every challenge, with a focus on creating durable efficiencies across the platform.

Required Qualifications, Capabilities, and Skills
  • Bachelor's degree.
  • Up to 3+ years of relevant work experience; exceptional recent graduates with demonstrated technical capability will be considered.
  • Strong proficiency in Python - comfortable writing clean, functional code and applying it to real analytical problems.
  • Working knowledge of global fixed income markets, with familiarity with High Yield or Systematic strategies in particular.
  • Genuine intellectual curiosity and a structured, hypothesis-driven approach to problem-solving.
  • Strong written and verbal communication skills, including the ability to convey complex quantitative or technical concepts to non-technical audiences.
  • Familiarity with Bloomberg and advanced proficiency in Excel and PowerPoint.
  • Ability to manage multiple workstreams simultaneously, meet tight deadlines, and maintain rigorous attention to detail.

Preferred Qualifications, Capabilities, and Skills
  • Prior exposure to machine learning frameworks, large language model APIs, or workflow automation tools.
  • Experience with data visualization platforms, cloud computing environments, or financial data infrastructure.
  • Degree in Computer Science, Engineering, Mathematics, Statistics, Finance, Economics, or a related quantitative or technical discipline
  • CFA candidacy or demonstrated progress toward the designation.
  • Prior internship or project experience within asset management, quantitative research, or financial technology.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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