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- Tasks: Develop and deploy cutting-edge NLP models and solutions in a collaborative environment.
- Company: Join a leading AI company revolutionising how machines understand human language.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Why this job: Be part of impactful projects that drive innovation across various industries.
- Qualifications: Master's degree in a relevant field and experience with NLP technologies required.
- Other info: We welcome applicants from all backgrounds and offer equal opportunities.
The predicted salary is between 42000 - 84000 £ per year.
Our client are at the forefront of innovation in Artificial Intelligence and Natural Language Processing (NLP). Their mission is to help customers revolutionise the way machines understand and interact with human language. We’re looking for talented and driven NLP Engineers to join the dynamic team and contribute to cutting-edge projects that drive impactful change across industries.
We are seeking an experienced NLP Engineer with a deep understanding of language technologies and machine learning to work on exciting, real-world NLP challenges. The ideal candidate will have a strong academic background in computational linguistics or a related field, coupled with professional experience in implementing NLP models in production environments. If you have a passion for advancing language technologies and thrive in a collaborative, fast-paced environment, we want to hear from you!
Key Responsibilities:- Develop and deploy state-of-the-art NLP models and solutions using technologies like spaCy, Transformers, and other NLP frameworks.
- Work with cross-functional teams to implement machine learning solutions for diverse applications, including but not limited to text embeddings, sentiment analysis, question answering, summarization, and topic modeling.
- Utilize your expertise in semantic search, prompt engineering, and large language models (LLMs) to create robust NLP systems.
- Optimise and fine-tune models for production environments and handle real-world challenges related to scaling and performance.
- Collaborate with non-technical stakeholders to translate complex technical concepts into actionable insights.
- Stay up-to-date with the latest advancements in NLP, AI, and machine learning to drive innovation within the team.
- Educational Background: Ideally a Master’s degree in Computational Linguistics, Data Science, Computer Science, or another hard science with a strong focus on machine learning, AI, or language technologies.
- Technical Skills: Proficiency in Python or similar programming (intermediate level). Expertise in NLP libraries such as spaCy, Transformers, Sentence Transformers, LangChain, LangGraph, LlamaIndex, BERTopic. Hands-on experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Google Cloud, Azure) and version control systems (Git). Knowledge of SQL and database management.
- NLP Competencies: Strong understanding of NLP techniques like text embeddings, named entity recognition, machine translation, summarization, sentiment analysis, and more. Hands-on experience with pre-trained LLMs such as BERT and GPT, and advanced NLP techniques like semantic search, RAG, and agent-based models.
- Professional Experience: Commercial experience in NLP-focused roles. Proven track record of successful NLP model deployments in real-world production environments. Demonstrated ability to work collaboratively within cross-functional teams.
If you’re excited about this opportunity and meet the qualifications outlined above, please submit your CV for review. We are an equal opportunity employer and encourage applicants from all backgrounds to apply.
Natural Language Processing Engineer (NLP) employer: Tripatini.com
Contact Detail:
Tripatini.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Natural Language Processing Engineer (NLP)
✨Tip Number 1
Familiarise yourself with the latest NLP frameworks and libraries mentioned in the job description, such as spaCy and Transformers. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Engage with the NLP community by participating in forums, attending webinars, or contributing to open-source projects. This will help you build a network of professionals in the industry and may even lead to valuable connections that could refer you to opportunities at our company.
✨Tip Number 3
Prepare to discuss real-world applications of NLP during interviews. Think of specific projects you've worked on, challenges you've faced, and how you overcame them. This will showcase your practical experience and problem-solving skills, which are crucial for the role.
✨Tip Number 4
Stay updated on the latest advancements in AI and machine learning by following relevant blogs, research papers, and news articles. Being knowledgeable about current trends will not only impress interviewers but also show your passion for the field.
We think you need these skills to ace Natural Language Processing Engineer (NLP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in NLP and machine learning. Focus on specific projects where you've implemented NLP models, and mention the technologies you used, such as spaCy or Transformers.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for NLP and AI. Discuss how your background aligns with the company's mission and the specific role. Mention any collaborative projects you've worked on that demonstrate your ability to work in cross-functional teams.
Highlight Technical Skills: In your application, clearly list your technical skills related to NLP, including programming languages like Python and familiarity with libraries such as TensorFlow or PyTorch. Be specific about your experience with cloud platforms and version control systems.
Showcase Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to NLP or machine learning. This shows your commitment to staying updated with the latest advancements in the field, which is crucial for this role.
How to prepare for a job interview at Tripatini.com
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and NLP libraries like spaCy and Transformers. Bring examples of projects where you've implemented these technologies, as practical experience is crucial for this role.
✨Understand the Company’s Mission
Research the company’s focus on AI and NLP innovations. Be ready to explain how your background aligns with their mission to revolutionise machine understanding of human language, demonstrating your passion for the field.
✨Prepare for Real-World Challenges
Expect questions about optimising NLP models for production environments. Think of specific challenges you've faced in previous roles and how you overcame them, as this will show your problem-solving skills.
✨Communicate Complex Concepts Simply
Since collaboration with non-technical stakeholders is key, practice explaining complex NLP concepts in layman's terms. This will highlight your ability to bridge the gap between technical and non-technical teams.
