NATURAL LANGUAGE PROCESSING & LLM
TALENT SOLUTIONS
With over two decades in data recruitment, Harnham has cultivated a deep understanding of the Natural Language Processing landscape. This experience equips us to expertly navigate the complexities of Natural Language Processing and Large Language Model roles, ensuring we source candidates who are both highly skilled and a perfect fit for your organization.
Our dedicated team's expertise is specifically tailored to the field of Natural Language Processing and Large Language Models. We understand the intricate balance of skills required in this domain, from advanced analytical abilities to practical experience in developing and implementing NLP systems.
Our targeted approach ensures we connect our clients with professionals who can drive technological innovation and business success.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom.
This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Natural language processing and LLM talent.
We recognize the unique nature of each organization's NLP and LLM recruitment needs.
Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your NLP and LLM projects and initiatives.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the NLP and LLM field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's NLP and LLM capabilities.
JOBS
LATEST NLP and LLM
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Lead MLOps Engineer
Houston
$160000 - $220000
+ Data Science & AI
PermanentHouston, Texas
To Apply for this Job Click Here
Title: Lead Machine Learning Operations Engineer
Location: Houston, TX 77077 – Onsite 4 days per week.
Overview of Role:
Are you a motivated Machine Learning Engineer looking to join a growing and innovative team?
The ideal candidate will be responsible for developing and fine-tuning AI models, with a focus on text classification and Natural Language Processing (NLP). You should have extensive experience using different ML libraries like NLTK, Tensorflow, and PyTorch. You will work closely with our clients to understand their specific needs, refine existing models, and deploy solutions that address their unique challenges.
Company Description:
Our client manages a large portfolio of companies and has a large focus on upholding integrity and being held accountable to the highest ethical standards. They are committed to fostering a culture of open communication, teamwork, and personal development.
Role Description:
- Translate business needs into analytics/reporting requirements for data-driven decisions.
- Integrate Gen AI across different business platforms according to needs.
- Deploy models on both on-prem and cloud environments (mainly AWS).
- Develop and refine CI/CD pipelines and maintain SLAs.
- Develop and architect IaC using tools like Terraform and Ansible.
- Guide and approve analytics/modeling approach, model deployment requirements, and quality assurance standards.
- Refine existing DevOps procedures and enforce best practices.
- Work within a scrum team across various business units.
- Manage Databricks platform for AI/ML data pipelines.
Skills and Experience:
- Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or related field, with 5-7 years experience in a data science or similar role.
- Strong proficiency in Python (preferred) or Javascript.
- Extensive knowledge and working experience with MLOps tools like Terraform and Ansible.
- Strong communication skills with experience presenting to stakeholders and breaking down technical topics to non-technical team members.
- Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark).
- Experience with code versioning repositories like GitHub.
- Experience with Databricks and CLI codes.
Benefits:
- Health, Dental, and Vision Insurance
- 15+ Days of PTO Annually
- Educational Assistance available
- Annual bonus
- 401(k) Matching Program
To Apply for this Job Click Here
Machine Learning Operations Engineer
New York
$190000 - $215000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
MACHINE LEARNING OPERATIONS ENGINEER
$190,000 – 210,000 + Equity
NEW YORK, NY
ON-SITE 5 DAYS/WEEK
Are you looking to play a key role in a fast-growing FinTech startup? To build a cutting-edge platform from the ground up? To work in the bustling heart of Manhattan, New York? This ML Operations role is for you!
THE COMPANY
This startup is on track to be a groundbreaker in the financial technology space. Their team is looking for a Machine Learning Operations Engineer to assist in building out their innovative AI-powered accounting platform, to design their infrastructure from start to finish, and to serve as a founding member of their lightweight, streamlined team.
THE ROLE
The MLOps engineer will play a fundamental role on this 12-person team and will be responsible for building and maintaining an AI platform with data accuracy as a crucial cornerstone.
In this role, you will be responsible for:
- Building a major data infrastructure platform from the ground up, working primarily in Python.
- Maintaining platform reliability over time.
- Developing and maintaining crucial, fail-resistant data pipelines.
- Organizing, scaling, and maintaining many data models that operate in tandem.
WHO YOU ARE
- You come from a Machine Learning background, with an emphasis on infrastructure engineering projects.
- You have experience (and interest) in accounting and financial data infrastructure.
- You are familiar with the process of growing a startup through multiple rounds of funding.
- You are highly proficient in Python.
- You have completed a major data infrastructure project from start to finish.
- You are comfortable working in a busy, pioneering environment.
BENEFITS
- An annual salary of $190,000 – 210,000 depending on experience
- Above-market-standard compensation, benefits, and equity package.
- 401k, health, vision, and dental insurance
- The ability to make a direct impact on a quickly growing organization.
HOW TO APPLY
Please register your interest by sending your CV to Jack Wolf via the application link on this page.
To Apply for this Job Click Here
Founding ML Engineer
New York
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Salary: $190,000 – $210,000 + Equity
Location: New York, NY
Schedule: On-site, 5 days a week
Are you eager to shape the future of a cutting-edge FinTech startup? Do you want to be at the forefront of building a pioneering platform in the heart of Manhattan? If you’re ready to make a significant impact, this Machine Learning Operations role might be just what you’re looking for!
About the Company
This emerging startup is poised to revolutionize the financial technology landscape. They’re seeking a Machine Learning Operations Engineer to join their innovative team, assist in constructing their AI-driven accounting platform from scratch, and become a key player in their dynamic and nimble organization.
The Role
As an ML Engineer on this small but impactful team, you’ll be essential in developing and sustaining an AI platform where data accuracy is paramount. Your responsibilities will include:
- Designing and building a major data infrastructure platform from the ground up, primarily using Python.
- Ensuring ongoing platform reliability and performance.
- Creating and maintaining robust, fail-safe data pipelines.
- Organizing, scaling, and managing multiple data models that work together seamlessly.
Who You Are
- You have a strong background in Machine Learning with a focus on infrastructure engineering.
- You’re experienced with and interested in accounting and financial data infrastructure.
- You’ve been involved in growing a startup through various funding stages.
- You’re highly skilled in Python.
- You’ve successfully completed a major data infrastructure project.
- You thrive in a fast-paced, pioneering work environment.
Benefits
- Competitive annual salary of $190,000 – $210,000 based on experience
- Attractive compensation, benefits, and equity package
- 401(k), health, vision, and dental insurance
- Opportunity to make a tangible impact in a rapidly growing company
How to Apply
Interested? Please submit your CV to Jack Wolf through the application link provided on this page.
To Apply for this Job Click Here
Machine Learning Engineer
Dublin
€130000 - €150000
+ Data Science & AI
PermanentDublin
To Apply for this Job Click Here
Machine Learning Engineer
Product / Tech Company
Dublin
€130,000 – €150,000 + Equity
The Company
Harnham is currently working with a tech company in Dublin that are scaling their machine learning operations rapidly.
Over the last decade they have been building an AI-powered platform for more than 60,000 businesses around the world. Following significant investment into AI there are now a number of positions being recruited for at different levels – AI will be pivotal in helping to shape not just the business, but the industry too!
Their team of Machine Learning Scientists and Engineers dedicate themselves to shipping machine learning into their core products, often working at pace and with cutting-edge algorithms.
Your role will:
- To deploy machine learning models to production, maintaining/scaling/optimising them
- Work on improving ML infrastructure, support every stage of the ML pipeline
You:
- A BSc or MSc in an advanced (machine learning-related) discipline
- Experience in working in a product company, shipping ML
- 5 years experience in industry, deploying, maintaining and optimising ML at scale.
- GenAI / LLM experience is not required
- Experience working within AWS is required
Here you will be working on some of the toughest engineering problems within machine learning. An aptitude and willingness to learn is critical.
Compensation?
All offers will go through benchmarking, but a range that is possible is between €130,000-€150,000. Equity is on offer at each level. There are regular pay reviews each year.
How to Apply?
Please register your interest by sending your CV via the Apply link on this page. For more information about similar roles, please get in touch with Nick Mandella at Harnham.
Keywords
Python, AWS, GCP, Azure, Machine Learning, Statistics, Artificial Intelligence, Data Scientist, Data Science, deep learning, GenAI, LLMs, MLE, MLOps, Infrastructure.
To Apply for this Job Click Here
Senior Machine Learning Scientist
Dublin
€130000 - €150000
+ Data Science & AI
PermanentDublin
To Apply for this Job Click Here
Senior Machine Learning Scientist
Product / Tech Company
Dublin
€130,000 – €150,000 + Equity
The Company
Harnham is currently working with a tech company in Dublin that are scaling their machine learning operations rapidly.
Over the last decade they have been building an AI-powered platform for more than 60,000 businesses around the world. Following significant investment into AI there are now a number of positions being recruited for at different levels – AI will be pivotal in helping to shape not just the business, but the industry too!
Their team of Machine Learning Scientists and Engineers dedicate themselves to shipping machine learning into their core products, often working at pace and with cutting-edge algorithms.
Your role will:
- Focus on researching and applying machine learning models to tackle key product problems
- Take great care in researching state-of-the-art techniques for commercial use
- Collaborate with Engineers to deploy, scale and optimise algorithms
- Prioritise business value at every step
You:
- A PhD or MSc in an advanced (machine learning-related) discipline
- Experience in working in a product company, shipping ML
- 4-5 years experience in industry, building production-ready machine learning models
- GenAI / LLM experience is not required, but a knowledge ‘spike’ in ML is required (e.g. deep learning, reinforcement learning etc)
- Experience working with AWS is desirable (other cloud providers are okay!)
- Ability to digest complex problems and provide logical and simple solutions
Compensation?
All offers will go through benchmarking, but a range that is possible is between €130,000-€150,000. Equity is on offer at each level. There are regular pay reviews each year.
Relocation support is available for those currently residing outside of Ireland.
How to Apply?
Please register your interest by sending your CV via the Apply link on this page. For more information about similar roles, please get in touch with Nick Mandella at Harnham.
Keywords
Python, AWS, GCP, Azure, Machine Learning, Statistics, Artificial Intelligence, Data Scientist, Data Science, deep learning, GenAI, LLMs.
To Apply for this Job Click Here
Machine Learning Scientist
Dublin
€130000 - €150000
+ Data Science & AI
PermanentDublin
To Apply for this Job Click Here
Machine Learning Scientist
Product / Tech Company
Dublin
€130,000 – €150,000 + Equity
The Company
Harnham is currently working with a tech company in Dublin that are scaling their machine learning operations rapidly.
Over the last decade they have been building an AI-powered platform for more than 60,000 businesses around the world. Following significant investment into AI there are now a number of positions being recruited for at different levels – AI will be pivotal in helping to shape not just the business, but the industry too!
Their team of Machine Learning Scientists and Engineers dedicate themselves to shipping machine learning into their core products, often working at pace and with cutting-edge algorithms.
Your role will:
- Focus on researching and applying machine learning models to tackle key product problems
- Take great care in researching state-of-the-art techniques for commercial use
- Collaborate with Engineers to deploy, scale and optimise algorithms
- Prioritise business value at every step
You:
- A PhD or MSc in an advanced (machine learning-related) discipline
- Experience in working in a product company, shipping ML
- 4-5 years experience in industry, building production-ready machine learning models
- GenAI / LLM experience is not required, but a knowledge ‘spike’ in ML is required (e.g. deep learning, reinforcement learning etc)
- Experience working with AWS is desirable (other cloud providers are okay!)
- Ability to digest complex problems and provide logical and simple solutions
Compensation?
All offers will go through benchmarking, but a range that is possible is between €130,000-€150,000. Equity is on offer at each level. There are regular pay reviews each year.
How to Apply?
Please register your interest by sending your CV via the Apply link on this page. For more information about similar roles, please get in touch with Nick Mandella at Harnham.
Keywords
Python, AWS, GCP, Azure, Machine Learning, Statistics, Artificial Intelligence, Data Scientist, Data Science, deep learning, GenAI, LLMs.
To Apply for this Job Click Here
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