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Python Llm Jobs in Manchester, NH (NOW HIRING)

DataServ

QA Engineer

North Andover, MA · On-site

The role involves testing automation for enterprise products and evaluating AI/LLM-powered features ... as Python or JavaScript to increase efficiency and coverage • Run regression suites before ...

DataServ Integrations LLC

QA Engineer

North Andover, MA · On-site

$115K - $120K/yr

... LLM-powered features, including how they're tested, measured, and released. You'll ensure the ... Python or JavaScript to increase efficiency and coverage · Regression & Release Testing - Run ...

Bespoke Labs

Machine Learning Engineer

Concord, NH

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Manchester, NH · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Nashua, NH

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Nashua, NH · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Manchester, NH

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Concord, NH · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Derry, NH

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Derry, NH · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

DEKA

Machine Learning Engineer

Manchester, NH · On-site

Contribute to AI/LLM-driven workflows and orchestration systems that push the boundaries of what ... Strong proficiency in Java (Spring Boot, Spring MVC, Hibernate) and Python * Hands-on experience ...

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All JobsPython Llm JobsPython Llm Jobs in Manchester, NH

Python Llm information

See Manchester, NH salary details

$13

$58

$85

How much do python llm jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for python llm in Manchester, NH is $58.37, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.30 per hour, depending on experience, location, and employer.

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

Python Llm jobs near you

Principal Software Engineer (Python, Oracle, AWS)

Fidelity Investments

Merrimack, NH

$107K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

You are an experienced engineer with a deep hands-on experience developing systems and products with a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals.

You have prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology. You are comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening. You are skilled at working with architecture and engineering stakeholders. You enjoy mentoring junior contributors, helping them grow and learn new skills in today's engineering field. You are a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time.

The Expertise and Skills You Bring
  • A Bachelor's or Master's Computer Science or relevant field, with five years plus of industrial experience.
  • Proficient in deploying software products into production capable of handling large volumes of data at scale.
  • Design, develop, and maintain robust, scalable, and secure Python-based applications and services.
  • Strong understanding of Python internals, performance tuning, and advanced language features.
  • Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards.
  • Optimize Python applications for performance, memory usage, and concurrency.
  • Ability to orchestrate solutions within a cloud based environment
  • Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud.
  • An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings.
  • Strong attention to detail with a passion for validation and verification of software components.
  • Strong communication skills and the ability to work with distributed team members.
The Team

We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management - analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts - e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $107,000-216,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Information Technology

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