4 of 4 Natural Language Processing Jobs in the East of England

attention to detail Strong organisational and analytical skills Ability to work both independently and collaboratively in an international team Excellent communication, interpersonal, and English language skills You may also have Experience with biocuration and/or annotation of biological databases Experience with ontologies and controlled vocabularies (e.g. Gene Ontology … Experience using bioinformatics tools or scripting languages (e.g. Python or R) Experience in text mining, natural language processing, or AI-assisted literature analysis Experience working with large biological datasets, and with analytical/visualisation tools such as Cytoscape Experience collaborating in international scientific projects or consortia Apply ...

platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics Engineering Alignment Work closely with data engineers to define: Data models and schemas Data quality rules ETL/ELT pipelines … Establish best practices and reusable design patterns Your Profile Essential Skills/Knowledge/Experience Data Science & ML Supervised and unsupervised learning Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps ...

Responsibilities: Design and implement generative models using state-of-the-art architectures (e.g., GPT, DALL E, Stable Diffusion). Fine-tune and optimize large language models (LLMs) for specific tasks and domains. Build pipelines for data preprocessing, model training, evaluation, and deployment. Collaborate with product, design, and engineering teams … Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine-tuning large-scale models . Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. ...

legal challenges into scalable AI solutions Facilitate discovery sessions with legal professionals to identify high-value opportunities Evaluate and implement AI tools (e.g. LLMs, NLP, RAG pipelines) in production environments Ensure solutions meet high standards for accuracy, confidentiality, and risk Drive adoption through intuitive user experiences and clear value articulation … digital or technology-led environment Hands-on experience delivering AI/ML-powered products Strong understanding of: Large Language Models (LLMs) NLP, classification, extraction, summarisation Retrieval-Augmented Generation (RAG) or similar architectures Experience working in regulated environments (e.g. legal, financial services, healthcare) Strong Agile delivery experience working with cross ...