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Machine Learning Nlp Jobs in New York (NOW HIRING)

Machine Learning Engineer II

New York, NY ยท On-site

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques ...

Machine Learning Engineer II

Manhattan, NY ยท On-site

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques ...

Machine Learning Engineer II

New York, NY

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques ...

Machine Learning Engineer II

New York, NY ยท On-site

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques ...

Machine Learning Engineer II

New York, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree or higher in Computer Science, Engineering, or a related field. * 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP ...

Machine Learning Engineer II

Manhattan, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree or higher in Computer Science, Engineering, or a related field. * 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP ...

New

Machine Learning Engineer II

Manhattan, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree or higher in Computer Science, Engineering, or a related field. * 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP ...

Machine Learning Engineer II

New York, NY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree or higher in Computer Science, Engineering, or a related field. * 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP ...

Machine Learning Engineer II

Manhattan, NY ยท On-site

$140 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree or higher in Computer Science, Engineering, or a related field. * 3+ years of significant, handsโ€‘on industry experience with machine learning, natural language processing (NLP ...

Machine Learning Engineer

Manhattan, NY ยท On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ... KNN, SVM), ensembles, NLP, and deep learning. * Significant experience with python programming and ...

Machine Learning Engineer

New York, NY ยท On-site

$160K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Strong experience with NLP systems and supervised entity classification models. * Comfort moving ...

Machine Learning Engineer

Manhattan, NY ยท On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Strong experience with NLP systems and supervised entity classification models. * Comfort moving ...

Showing results 41-60

Machine Learning Nlp information

What is a machine learning NLP?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What does a machine learning NLP do?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning NLP position?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Are machine learning NLP engineers in demand?

Machine learning NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in deep learning frameworks, Python, and NLP tools to develop and improve AI language models, making this a strong career field with positive job growth prospects.
Infographic showing various Machine Learning Nlp job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer II

Kensho Technologies LLC

New York, NY โ€ข On-site

$106K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

The Machine Learning (ML) Team at Kensho is redefining how powerful financial data fuels the next generation of data-driven AI workflows.

We are fundamentally shaping how AI-aided human interactions with complex financial data are facilitated. Our team focuses on creating agentic experiences that enable complex report generation, deep research workflows, and novel user journeys - all with robust evaluation. We are also at the forefront of developing novel methods for retrieving and synthesizing both structured (tabular data from relational databases) and unstructured data using natural language interfaces.
Our solutions are integrated into multiple S&P Global and third-party platforms, allowing our clients (1, 2) to leverage powerful financial data in ways that drive insights and support their strategic objectives.

We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization) ML role with a strong emphasis on developing and orchestrating intelligent agent frameworks, designing novel and robust retrieval methods, validating AI-generated outputs, and building scalable systems that connect data to actionable insights.

If you are passionate about building the next wave of AI-driven products, thrive in a collaborative, fast-paced environment, and are eager to push the boundaries of what's possible with data and intelligent agents, we would love to hear from you!
Kensho states that the anticipated base salary range for the position is 140k - 180k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You'll Do:

  • Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.

  • Participate in all stages of the ML lifecycle, from problem framing and data exploration to model experimentation, deployment, and monitoring in production, ensuring the continuous improvement and optimization of our Agentic Systems.

  • Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.

  • Work closely with Data, Product, Design, and Engineering teams to design and develop Agents to enhance user experiences and meet business objectives.

  • Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation.

What You'll Need:

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.

  • 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, with a strong focus on practical applications.

  • Experience with all stages of the ML life-cycle including designing and experimenting to deploying and maintaining production systems.

  • Strong proficiency in Python, with a solid understanding of best practices in software development.

  • Experience working with machine learning libraries and frameworks for agent orchestration, such as LangGraph, pydanticAI, etc.

  • Experience in agentic design, understanding user interactions, and evaluating agent performance to enhance user experiences.

  • Demonstrated effective coding, documentation, collaboration, and communication habits.

  • Strong problem-solving skills and a proactive approach to addressing challenges.

  • Ability to adapt to a fast-paced and dynamic work environment.

Technologies & Tools We Use:

  • Agentic systems: Agentic Orchestration, Deep Research, Information Retrieval, Semantic Search, LLM code generation, LLM tool utilization, Textual RAG systems

  • Core ML/AI: LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost

  • Data Exploration & Visualization: Jupyter, Matplotlib, Pandas, Weights & Biases, Langfuse

  • Data Management & Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, S3, SQLite

  • Deployment & MLOps: Arize, Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, LangFuse, LiteLLM, Ray, vLLM

  • Prototyping & Development: Claude Code, FastAPI, Streamlit, Gradio

At Kensho, we pride ourselves on providing top-of-market benefits, including:

  • Medical, Dental, and Vision insurance

  • 100% company paid premiums

  • Unlimited Paid Time Off

  • 26 weeks of 100% paid Parental Leave (paternity and maternity)

  • 401(k) plan with 6% employer matching

  • Generous company matching on donations to non-profit charities

  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

  • Plentiful snacks, drinks, and regularly catered lunches

  • Dog-friendly office (CAM office)

  • Bike sharing program memberships

  • Compassion leave and elder care leave

  • Mentoring and additional learning opportunities

  • Opportunity to expand professional network and participate in conferences and events

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported toreportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activityhere.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.