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For Companies At a Glance
- Tasks: Design and improve NLP solutions for customer conversations using AI.
- Company: Join Cresta, a cutting-edge AI company transforming contact centres.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact on customer experiences.
- Qualifications: Strong NLP knowledge and analytical skills; collaboration experience is a plus.
- Other info: Dynamic team environment with a focus on continuous learning and improvement.
The predicted salary is between 36000 - 60000 £ per year.
Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster.
The NLP Specialist will play a key role in designing, improving, and evaluating Natural Language Processing (NLP) solutions across a variety of use cases, including Intent Detection, Summarization, Knowledge Retrieval, and Generative AI. This role partners closely with Data Scientists, ML Engineers, Conversation Designers, and Product teams to shape language strategies, improve model performance, and ensure high-quality user experiences. The ideal candidate brings strong linguistic intuition, applied NLP knowledge, and a passion for building intelligent, customer-facing AI systems.
Responsibilities
- NLP Development & Analysis: Analyze and improve NLP model behavior across tasks such as intent classification, entity extraction, summarization, and generative responses. Evaluate model outputs, identify gaps or failure modes, and propose data, prompt, or architectural improvements. Support experimentation with prompts, retrieval strategies, and language patterns to improve accuracy and robustness.
- Use Case Design & Prioritization: Partner with product and engineering teams to translate business requirements into effective NLP solutions. Help prioritize NLP improvements and experiments based on customer impact, model performance, and strategic goals.
- Collaboration: Work cross-functionally with ML engineers, data scientists, conversation designers, and product managers to align on NLP requirements and delivery. Act as a language and NLP subject-matter expert within project teams.
- Quality & Evaluation: Define and apply qualitative and quantitative evaluation criteria for NLP outputs. Review model responses for linguistic quality, correctness, tone, and consistency, and drive iteration based on findings.
- Customer & Stakeholder Engagement: Participate in customer-facing discussions to understand real-world language use, edge cases, and expectations. Translate customer feedback into actionable NLP improvements.
- Documentation & Knowledge Sharing: Document NLP approaches, best practices, evaluation findings, and language guidelines to ensure scalability and consistency. Share insights and recommendations with internal stakeholders to raise overall NLP maturity.
- Continuous Improvement: Stay current with emerging NLP and Generative AI trends, techniques, and tooling. Proactively suggest improvements to NLP workflows, evaluation methods, and model interaction strategies.
Qualifications
- NLP Expertise: Strong understanding of NLP concepts such as intent detection, entity recognition, retrieval-augmented generation, summarization, and prompt engineering. Experience working with or alongside ML models in production or near-production environments.
- Analytical & Linguistic Skills: Strong analytical thinking with an ability to diagnose model behavior and language patterns. Excellent command of written language and sensitivity to tone, clarity, and user intent.
- Collaboration & Communication: Proven ability to work effectively in cross-functional teams. Clear verbal and written communication skills to explain NLP decisions, tradeoffs, and recommendations.
- Tooling & Technical Comfort: Familiarity with NLP tooling, model evaluation workflows, or AI platforms, with a willingness to learn new tools and frameworks.
- Preferred Skills: Multilingual Proficiency: Strong ability to work with non-English languages (e.g., Spanish, French, German) and understand linguistic nuances across locales. Prompting, Copywriting & Regex: Strong prompt-writing skills for LLMs, understanding of customer-facing copy best practices, and comfort using regular expressions to support NLP improvements. Contact Center Experience: Familiarity with contact center environments and common conversational AI challenges.
NLP Specialist employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Cresta. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or projects showcasing your NLP expertise, make sure to share them during interviews. It’s a great way to demonstrate your capabilities beyond just words.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common NLP scenarios and be ready to discuss how you'd tackle real-world challenges. This shows you're not just knowledgeable but also practical.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Cresta team.
We think you need these skills to ace NLP Specialist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the NLP Specialist role. Highlight your relevant experience with NLP concepts and tools, and show us how your skills align with our mission at Cresta.
Showcase Your Passion: We love seeing candidates who are genuinely excited about AI and NLP! Share any personal projects or experiences that demonstrate your enthusiasm and understanding of the field.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the responsibilities of the role. We appreciate brevity and clarity!
Apply Through Our Website: Don’t forget to submit your application through our official website. This ensures that your application gets to the right people and helps us keep track of all candidates efficiently.
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your NLP Stuff
Make sure you brush up on key NLP concepts like intent detection and summarization. Be ready to discuss your experience with ML models and how you've applied these techniques in real-world scenarios.
✨Show Off Your Collaboration Skills
Cresta values teamwork, so be prepared to share examples of how you've worked with cross-functional teams. Highlight your communication skills and how you've translated complex NLP ideas into actionable insights for different stakeholders.
✨Prepare for Technical Questions
Expect some technical questions about NLP tooling and model evaluation workflows. Familiarise yourself with the latest trends in NLP and Generative AI, and be ready to discuss how you would improve existing workflows or tackle common challenges.
✨Engage with Real-World Scenarios
Be ready to talk about customer-facing discussions you've had and how you've used feedback to drive NLP improvements. Show that you understand the nuances of language use in different contexts, especially in contact centre environments.
