8 of 8 Remote Natural Language Processing Jobs in Southampton

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 ❯

AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the context of data mapping, flow optimisation, and support workflows. Spearhead the development of 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 ❯

for the deaf community. This company is the first of its kind, using cutting-edge tech to translate digital and written content into sign language — making information truly accessible for everyone. They’re small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure … one. Hybrid freedom: Mostly remote, with occasional travel to meet the team. What You’ll Do Design and develop ML models from scratch for NLP, computer vision, or generative AI Collaborate with engineers and designers to ship end-to-end features Work across the stack (Python, backend, and some frontend … Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform 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 ❯

Full-Stack Product Engineering Design, build, and maintain scalable features across the frontend, backend, and infrastructure Contribute to an AI-first platform integrating large language models (LLMs) into enterprise workflows Develop and optimise performant, well-tested microservices using Node.js, TypeScript, and PostgreSQL Build intuitive UIs in React, collaborating closely … Experience in building microservices and distributed systems Strong communicator with a collaborative, solution-focused approach Bonus Experience Exposure to LLM APIs, AI tooling, or NLP-powered applications Knowledge of Next.js or modern frontend architecture Infrastructure-as-Code (CDK, Terraform, etc.) Experience in customer support tech or event-driven systems Python More ❯