24 of 24 Natural Language Processing Jobs in the South East

engineering skills through structured mentoring. Technology Exposure You'll gain experience across: Artificial Intelligence (AI) Machine Learning (ML) Natural Language Processing (NLP) SaaS & Cloud Technologies IoT & M2M Solutions Unified Communications (UCaaS) Contact Centre Technologies (CCaaS) Enterprise Software Cyber Security & IT Infrastructure You'll also have exposure ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

started. Artificial Intelligence, AI Analyst, AI Engineer, AI Developer, AI Specialist, AI Consultant, Machine Learning Engineer, Machine Learning, Deep Learning, Generative AI, Large Language Models, Prompt Engineering, Natural Language Processing, Computer Vision, Data Science, Python, TensorFlow, AI Automation, AI Product Manager, Responsible AI, AI Research ...

Lead and develop a multidisciplinary AI team , providing day-to-day management, mentorship, technical guidance and career development for AI/ML Engineers, NLP Engineers and Data Scientists. Own technical delivery , managing priorities, resources and engineering commitments while balancing rapid experimentation with production requirements. Remain hands-on , contributing Python code … models and implementations, prototyping solutions and supporting complex technical challenges. Shape AI architecture , guiding the design and development of agentic AI systems, RAG pipelines, NLP solutions and machine learning applications. Build safe and reliable AI agents , implementing appropriate guardrails, tool permissions, human-in-the-loop controls ...

solutions across the business. This is an exciting opportunity to play a key technical role in delivering practical AI applications, leveraging Microsoft technologies, large language models (LLMs) and intelligent automation to transform business processes. The Opportunity Opportunity to build and deploy AI solutions with genuine business impact. Work with … engineering skills, ideally using Python. Practical experience with Microsoft AI technologies, particularly Azure AI Foundry, Copilot Studio and Azure DevOps. Experience working with LLMs, natural language processing and generative AI applications. Experience integrating AI capabilities into existing applications, business processes and enterprise systems. Understanding of secure software ...

Azure DevOps. Software development capability, ideally with Python; JavaScript or other development languages would be an advantage. A solid technical understanding of LLMs, NLP, machine learning fundamentals and prompt engineering. Experience designing prompts, grounding strategies and knowledge integrations to produce reliable AI responses. An ability to work with agentic ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

programme and are looking for a Senior Data Scientist with a strong background in Operational Research and optimisation. This is not a Generative AI, NLP, or customer analytics role. Instead, you'll be working on highly complex optimisation challenges that drive real-world operational decisions across a large supply chain ...

Hands on Software Development/Engineering C#/.NET background Python JavaScript Co-Pilot Studio Azure AI Foundry Azure DevOps Agentic AI LLMs NLP Machine Learning Fundamentals Working in a heavily regulated environment with the ability to cut through this and still deliver effective solutions This is a great opportunity ...

Machine Learning & Advanced Analytics Databricks MLflow Model Registry Feature Stores MLOps Frameworks Advanced Analytics Cognitive Search & GenAI Sinequa Knowledge Graphs GraphRAG Hybrid Search NLP Solutions AWS Bedrock AgentCore LangChain OpenAI & Claude Agent Frameworks Required Experience Significant experience as a Data Architect, Enterprise Data Architect, or Solution Architect within large-scale ...

interact with complex information. We're looking for someone with hands-on experience across: LLMs & Generative AI RAG & Retrieval Systems Semantic Search & Information Retrieval NLP & Embeddings Agentic AI Workflows (LangGraph, LangChain etc.) Production AI & MLOps This is an opportunity to work on cutting-edge AI products that combine large-scale ...

implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable … design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn ...

innovative solutions for enhancing scientific data workflows and support our mission to disseminate scientific information publicly Manage and enhance scientific software tools essential for processing and storing chemical and biological data across the teams services, ensuring adherence to software development best practices. Collaborate with the ChEMBL, SureChEMBL and ChEBI … Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Contract length: 13-month fixed-term maternity cover. We are ideally looking for a January 2027 start to allow ...

PostgreSQL and S3. Build Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems. Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows … reliably in production, including state management, task execution, model routing, retries and observability Support AI Infrastructure: Work closely with our AI engineers supporting production NLP, LLM and quantitative model workloads, including our in-house GPU infrastructure. Automate Infrastructure: Build and manage Infrastructure-as-Code using Pulumi and automate deployments through ...

GenAI/NLP Engineer (AWS Bedrock, RAG & Agentic AI) London | Hybrid (1-2 days onsite) | 8-10 Week Contract We're supporting a major Generative AI initiative within a leading UK financial services organisation, focused on improving how AML and compliance documentation is reviewed, analysed and processed. This … opportunity for an experienced GenAI/NLP Engineer to join a busy Proof of Concept engagement, building production-grade AI solutions that automate the extraction, validation and interpretation of regulatory and compliance information from large document sets. You'll work on modern LLM, RAG and Agentic AI architectures , helping deliver ...

ground up while delivering measurable impact across a high-volume platform. The Company They are a global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus … machine learning models in production environments Strong SQL and data engineering capabilities, with experience working on large-scale datasets Interest in AI technologies, including NLP, Computer Vision, LLMs, or Generative AI applications Experience building scalable data pipelines and ML systems Strong communication skills and the ability to work effectively across ...

solutions company empowering the world's most trusted enterprise AI. Our proprietary Cultural Intelligence Layer, powered by 250,000 data specialists, cultural and language experts and deep domain professionals, backed by 45+ patents, makes enterprise AI culturally fluent, contextually accurate and secure, ensuring every interaction reflects a brand … mentoring other engineers. Comfort with ambiguity and the judgment to scope, prioritize, and sequence high-impact work with limited direction. Preferred Deep experience evaluating NLP, machine translation, or content-generation systems, including metrics such as COMET, chrF++, BLEU, MetricX, and MQM-style human evaluation. Experience with experimentation and observability tooling ...

Responsibilities Design and implement production-scale GenAI and LLM-powered solutions. Build Retrieval Augmented Generation (RAG) architectures for document-heavy use cases. Develop document processing pipelines capable of extracting and validating information from complex PDFs, scanned documents, and regulatory records. Design multi-agent workflows incorporating extraction, validation, routing, scoring … intensive environments. Knowledge of chunking strategies, embedding model selection, retrieval optimisation, and cross-document reasoning. Experience defining and measuring retrieval quality metrics. Document Intelligence & NLP Delivery experience extracting structured information from unstructured and semi-structured documentation. Experience working with PDF documents, scanned files, regulatory submissions, and compliance documentation. Strong understanding ...

Strong Python development skills. Strong SQL skills and experience working with large datasets. Experience deploying machine learning solutions into production environments. Understanding of data processing, transformation and pipeline development. Experience … building and maintaining end to end ML workflows. Solid software engineering and coding best practices. Exposure to modern AI and deep learning approaches including NLP and large language model related technologies. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive ...

data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep understanding of how modern models are built, not only how they’re used: transformer architectures, pre-training … models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. NLP depth on long-form professional text: class ...

across text, voice and visual interfaces, this could be an excellent next step. What you'll be doing: LLM Fine-Tuning: Fine-tune large language models for tone, style and domain-specific applications. Dataset Engineering: Design, curate and manage high-quality datasets for fine-tuning, including annotation, versioning … technical expertise with a genuine passion for exploring what's possible with Generative AI. Essential Skills & Experience 3+ years' experience developing solutions using LLMs, NLP or Generative AI technologies. Hands-on experience with leading models and platforms such as OpenAI, Claude, Gemini, Cohere, Mistral or Hugging Face. Experience with supervised ...