Natural Language Processing Engineer (NLP) - Advanced AI & Language Technologies
Contract positions
Outside IR35
6 months (extensions likely)
Hybrid working
Company Overview :
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.
Position Overview :
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.
Qualifications :
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. Our heavy involvement in educational NLP research with real world applications.
Proven track record of successful NLP model deployments in real-world production environments.
Demonstrated ability to work collaboratively within cross-functional teams.
How to Apply :
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.
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