13 of 13 Remote Natural Language Processing Jobs in Woking

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

boundaries of AI through science-led evaluations. If you're ambitious to make a difference to the future of AI, have a PhD in NLP, and like to turn ideas into reality, we'd love to hear from you. Role We are developing adversarial tests for Large Language Models … and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based … product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form More ❯

Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL, Hadoop, Spark). Experience with machine learning techniques, including NLP, recommendation algorithms, and computer vision. Familiarity with cloud platforms (Azure) for deploying AI solutions . Strong problem-solving skills and the ability to work collaboratively More ❯

analysis through natural language interactions, integrating with existing databases and computational pipelines. The AI Engineer will have core expertise in AI, LLMs, NLP frameworks - together with a software focus (Python, APIs, SQL, cloud) including proven experience of delivering products to clients. The role: Platform Development Design and implement … OpenAI models with structural biology tools Develop context-aware chat systems that maintain conversation history across sessions Create modular, scalable architectures for bioinformatics data processing Bioinformatics Integration Integrate with protein structure databases (PDB, AlphaFold, custom TCR structures) Build APIs connecting LLMs to molecular visualization tools (PyMOL, ChimeraX, NGLView) Develop … biology concepts Required Technical Skills: AI/ML Core 3+ years hands-on experience (predominantly industry gained) with LLMs (GPT, BERT, T5, Claude) and NLP frameworks Proficiency in prompt engineering, fine-tuning, and function-calling architectures Experience with Hugging Face, OpenAI APIs, and transformer libraries Understanding of model customization for More ❯

optimisation, forecasting, etc. Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. Strong communication skills and ability to translate complex analyses More ❯

Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for action and a passion for building world-class More ❯

experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (e.g., NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent Proficiency with SQL, version More ❯

The Role As our Generative AI Engineer , you’ll be at the forefront of innovation — designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You’ll partner closely with stakeholders across Product, Design, and Operations to translate business More ❯

improving performance – Test, refine, and scale AI models to keep everything running smoothly. Research & innovation – Stay ahead of AI trends, explore new models (LLMs, NLP, etc.), and bring fresh ideas to the table. Collaboration & strategy – Work with developers, product managers, and stakeholders to ensure AI solutions align with business goals. More ❯

Applied Data Scientist - NLP - Applied Scientist - Python - LLM - Knowledge - Knowledge Graphs - Graphs - Role: Senior Data Scientist - Knowledge Graph Expert Contract: Outside IR35 - Initial 9 months (Fully Remote) I am currently immediately looking for a vastly talented Data Scientist with expert level Knowledge graph experience to join my client on a … fully remote contract. As an Data Scientist you will be working on NLP applications for risk, fraud, and investigation products. Your job will be to: Experiment with different state-of-the-art as well as traditional NLP approaches to find the best solution for the given problem. Work with all More ❯

they’re looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI infrastructure, working closely with product and platform teams to turn ideas into features. It’s the kind of … where your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features More ❯