26 to 50 of 63 Natural Language Processing Jobs in the South East

Placement, you may be combining data and analytics with engineering or applications knowledge. We make extensive use of Machine Learning (ML) and Advanced Analytics including Computer Vision; Neural Networks; NLP and advanced statistics as well as working with varied and big datasets. GE Aerospace combines unrivalled strength in the Aviation domain with digital capability to provide business changing outcomes. Our More ❯

Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or More ❯

RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong proficiency in Python and experience with frameworks like PyTorch or TensorFlow. Experience working with vector databases (e.g. More ❯

record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. LIFE AS A SATALIAN As an organisation, we push More ❯

in production with a focus on scalability, latency, and compliance .Collaborate with product and finance experts to translate real-world workflows into AI agents. Key Requirements: Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).Proficiency with PyTorch/TensorFlow, Hugging Face ecosystem, and MLOps tooling. Experience working with financial or structured transactional data. More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas … a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining More ❯

/Remote: Flexible but with regular London meetings? Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on NLP pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and modern AI tools. What We're Looking For: 1+ years' experience in More ❯

Graduate IT Engineer, Bershire, 35-38k SaaS, Cloud, AI, Machine Learning, IOT, NLP, Data, Telecoms, Technology As a Graduate IT Engineer, you will Deliver exceptional technical support from first contact through to resolution. Work with customer-facing tech teams to help configure and provision cloud-based communication services. Gain hands-on experience in a real-world, fast-moving technical More ❯

algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We More ❯

will be the opportunity to build and mentor your own team as the function grows. You will work closely with business units to implement technologies such as machine learning, NLP, computer vision, OCR/IDP, and algorithmic automation, increasing efficiency, accuracy, and agility across the business. The ideal candidate will have strong analytics and automation experience, preferably in insurance, with More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

Git/GitHub and continuous deployment workflows. Preferred Skills Experience with Docker and multi-container application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine (GKE) . Exposure to frontend development (e.g., React ) is a plus. Please apply with your updated CV if this More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some More ❯

experience. Design, develop, test, and deploy enterprise applications using Microsoft technologies. Build secure fintech workflows aligned with compliance (GDPR, OAuth, encryption). Integrate and deploy AI/ML components (NLP and recommendation systems). Collaborate in an Agile (Scrum/Kanban) environment with technical and business teams. TECH STACK/REQUIREMENTS Strong experience with .NET, C#, Azure, Power Platform Proven … background building secure enterprise/banking systems AI/ML integration proficiency (NLP, recommendation systems) Compliance awareness Cloud deployment experience (Azure/AWS) - highly desirable Backend development using other languages such as Python, Java - highly desirable SQL/NoSQL database design & optimisation - desirable DevOps (CI/CD pipelines, Docker, Kubernetes) - desirable TO BE CONSIDERED... Please apply directly by emailing with More ❯

Technical Support Engineer/Graduate IT Engineer 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Science, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and … The Person :Technical Support Engineer/Graduate Software Developer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language More ❯

Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture … direction, and delivery of advanced AI and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

a fast-growing analytics team that’s redefining how a global insurer operates. This role is about building intelligent automation solutions that combine AI, machine learning and advanced data processing to transform business performance. Role Overview: Location: Hybrid/Central London Package: £80,000–£100,000 per annum Performance Bonus Benefits Industry: Insurance What You’ll Be Doing: Partner … opportunities and shape new projects. Lead the design and delivery of AI-driven automation solutions across underwriting and claims. Act as subject matter expert for intelligent automation technologies including NLP, OCR/IDP, computer vision and LLMs. Manage and mentor offshore resources, ensuring quality and speed of delivery. Build proof-of-concepts that demonstrate real business value from AI. Support More ❯

Extras Experience with machine learning, large language models, or other advanced AI technologies.Previous work in customer service or support environments. Formal AI-related qualifications or certifications (e.g., ML, NLP, prompt engineering). Coding proficiency in Python, R, or Java. Salary £55,000-£65,000 per annum RSG Plc is acting as an Employment Agency in relation to this vacancy. More ❯

compliant with governance standards Applying your expertise in data management, processing, and quality assurance Staying ahead of emerging technologies, contributing to the technology roadmap Delivering innovative solutions in NLP, OCR, and Generative AI applications Experience required: Strong SQL skills (e.g. MS SQL, Oracle) and noSQL skills (e.g. MongoDB, Neo4J) Proficiency in data exchange and processing tools (ETL, ESB … APIs) Development skills in Python and familiarity with Big Data technologies (e.g. Hadoop) Knowledge of NLP and OCR; Generative AI expertise advantageous Understanding of containerisation (Docker) and, ideally, the industrial/defence sector The Package: Company bonus: Up to £2,500 (based on performance) Pension: Up to 14% total contribution (employer & employee) Overtime: Paid opportunities available Flexi Leave: Up to More ❯