Whether you’re building a cutting-edge NLP team or hoping to join one, DeepRec.ai connects the best people with the most exciting opportunities on the market.
From biotech to financial services, we partner with pioneering companies to recruit exceptional NLP engineers, researchers, and technical leaders. Let us know what you’re looking for, and our team will make it happen.
Ready to Hire?
Looking for a New Role?
The Rise of NLP
The rise of Natural Language Processing (NLP) has taken the world by storm, and we’re here for it. From predictive text and chatbots to fully-fledged virtual companions like Siri and ChatGPT, NLP has moved machine learning into the mainstream.
The latest phase of NLP adoption is driving demand for domain-specific expertise. The talent pool is short, and projects are time-sensitive, leading to high premiums and fierce competition (like most areas of deep tech).
Where is NLP Heading?
Digital Signal Processing, Exploratory Data Analysis, Algorithm Development, and Microsoft Azure Machine Learning are among the fastest-growing skills inside this talent pool, with specialists commanding more market influence than ever.
Alternative approaches to recruitment are essential in a space that’s short on skills, particularly when you’re competing against big budgets.
Through targeted event initiatives, podcast series, meetups, and more, DeepRec.ai’s natural language processing consultants have been busy building a global community of technologists.
This approach creates exclusive access to passive candidates, the best talent that can’t be found through traditional recruitment.
Whether you’re scaling a product team or making a mission-critical leadership hire, we help you move fast and land the right person at the right time.
Our consultants have the technical expertise, talent market insight, and commitment to diverse hiring practices needed to expand your search in the right direction.
How Do I Hire NLP Talent?
Hiring NLP specialists typically requires a granular understanding of role requirements, technical understanding, market insight, and access to a well-networked community. Some of the key ingredients of a competitive recruitment process include:
- A strong employer value proposition – Top NLP candidates are drawn to cutting-edge projects. They're looking for the latest tech, training, investment, and buy-in. Does your brand story meet expectations?
- A clearly defined role scope – Role clarity is essential in a space that evolves quickly. Set clear expectations, responsibilities, and achievable goals to attract value-aligned candidates.
- Benchmarked remuneration packages – Competitive salaries are critical in high-demand, low-supply markets like natural language processing. Are your offers aligned with current market data? This should include equity, bonuses, and benefits.
- A streamlined interview process – Multi-stage interviews are infamous for driving up candidate dropout rates. The fewer stages you have (while still assessing the aspects that matter), the better the chance of securing your ideal talent.
If you'd like DeepRec.ai to build you a bespoke market guide, including competitor analysis, salary data, and talent insights, then we're happy to help. Let the team know what you'd like to explore, and we'll tailor the content to your needs: Enquire.
The roles we recruit for in NLP include:
- Head of NLP
- Senior NLP
- NLP Engineer
- Senior Machine Learning Engineer, NLP
- Machine Learning Engineer NLP
- NLP Scientist
- NLP Researcher
