Entry Level Natural Language Processing Jobs
New grad natural language processing jobs open the door for recent graduates and entry level candidates with little to no experience, where a strong portfolio of NLP projects or internship work often carries more weight than years on a resume. Most openings mix on-site, remote, and hybrid settings across Education, Consulting & Professional Services, and Investment & Asset Management, with employers like University of California Merced, Kimley-Horn, and WSB hiring at this level now.
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Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manages risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals trade in both physical and derivative commodity risk.
This position will work closely with traders and marketers to coordinate the receipt and delivery of natural gas between suppliers, producers, marketers, pipelines and customers while ensuring that company volumes are accurately tracked and invoiced. This position might also assist the traders with executing trades, fundamental analysis of natural gas infrastructure and optimization of physical assets.
Main responsibilities include:
Arrange and nominate the receipt and delivery of natural gas to our customers
Communicate between our suppliers and customers to ensure that contractual nomination data is coordinated accurately throughout the delivery chain
Work closely with trading and marketing to help optimize flows on a daily basis
Track the movement of all physical gas sales and maintain internal spreadsheets showing the contractual movements of gas, storage changes, and imbalances
Track pipeline tariff costs and review any invoice charges coordinating with operations
Identify incremental capacity and supply availability which may be acquired by the company in a cost effective and profitable manner
Actively review the efficiency of the nomination and accounting activities to ensure that those functions are run in the optimal manner
Skills Requirement:
2-7 years of experience in Scheduling, with direct Natural Gas experience
Based in Houston, TX, or open to relocation to Houston, TX
Bachelor’s Degree or equivalent with a minimum 2:1 degree classification or equivalent
Good understanding of industry standards and logistics operations
Commercially aware and able to make rapid and accurate decisions
Ability to analyze complex issues and managing your demanding workload effectively to ensure deadlines are met
Self-motivated and with good interpersonal skills and able to work under pressure and in adherence to strict timelines
Good written/spoken communication skills in English and able to engage at all levels
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $120,000 and $150,000 per year at the commencement of employment for Associate. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .
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Find JobsEntry Level Natural Language Processing Job Market
Who's Hiring
- University of California Merced12

- Kimley-Horn3

- WSB2

- ECS Limited2

- State of Wyoming2

Top Industries Hiring
- Education20
- Consulting & Professional Services9
- Investment & Asset Management3
- Technology & Software2
- Government & Public Sector2
Entry Level Natural Language Processing Jobs: Frequently Asked Questions
How do I get an entry level natural language processing job?
Employers at this level look for hands-on evidence that you can work with language data: a GitHub portfolio with projects using tools like Python, NLTK, spaCy, or Hugging Face carries real weight. Coursework in machine learning or computational linguistics, a capstone project, or even a Kaggle competition entry can set you apart. Tailor your resume to each posting and highlight any internship or research experience, no matter how brief.
Which companies hire entry level natural language processings?
Companies hiring entry level natural language processings right now include University of California Merced, Kimley-Horn, and WSB, based on current listings on Migrate Mate as of July 2026. At this level, hiring comes from a broad mix of technology firms, AI-focused startups, and enterprise companies building or expanding their language and search products.
Are there remote entry level natural language processing jobs?
Yes, though availability varies by employer and role type. About 13% of entry level natural language processing openings are remote or hybrid as of July 2026, which gives early-career candidates flexibility to apply outside their immediate geography and compete for roles at companies that may not have a local office.
Are these new grad natural language processing jobs?
Yes, these listings include new grad, recent graduate, and junior natural language processing roles. A posting is typically new-grad friendly when it explicitly welcomes zero to two years of experience, accepts internship or research work in place of full-time history, or lists a portfolio or degree project as a qualifying credential rather than requiring prior employment.
Which industries hire the most entry level natural language processings?
Entry Level natural language processing roles concentrate in Education, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. These sectors drive the most entry level hiring because they rely heavily on text analysis, chatbots, search, and content classification, creating steady demand for junior candidates who can contribute from day one.