76 to 100 of 105 Natural Language Processing Jobs in England

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

Software Engineer At least 2 years of commercial experience in an Artificial Intelligence Software Development role with exposure to areas like computer vision, audio processing, and generative AI systems Ideally you will be educated to PhD level or you have experience working in a start-up environment Excellent academic …/Golang/Kotlin/Docker/Programmer/Software Engineer/Software Developer/Programming/Coding/programmer/LLM/NLP/Audio/Signal Processing/Deep Learning ...

transforms product development, internal operations, and team structure You've implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You're excited by agentic AI and understand how autonomous systems can handle workflows end-to-end, not just assist You’ve built ...

transforms product development, internal operations, and team structure You’ve implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You’re excited by agentic AI and understand how autonomous systems can handle workflows end‐to‐end, not just assist You’ve built ...

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. ...

Skills & Experience RAG Engineering (must-have) ● 6+ years of software engineering experience, with at least 2-3 years focused on information retrieval, search systems, NLP, or RAG architectures. ● Deep expertise in vector databases — production experience with at least one of: Pinecone, Weaviate, Milvus, Qdrant, Chroma, pgvector, or Databricks Vector Search. … Master's degree in Computer Science, Information Retrieval, Computational Linguistics, Data Science , or a related quantitative discipline. PhD in a relevant field (IR, NLP, knowledge graphs) is a strong differentiator. ● Relevant certifications are valued (Databricks Certified, AWS/Azure ML Specialty) but are secondary to demonstrated hands-on expertise. Agents ...

innovation . This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions , including LLM-powered applications, NLP pipelines, and emerging agentic systems . You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful … cases at scale. Key Responsibilities Build, deploy, and optimise machine learning and NLP models in production Develop end-to-end data science pipelines Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering) Work with BigQuery ML and cloud platforms for large-scale modelling Translate business challenges into scalable data ...

excellent opportunity for ambitious graduates who want to work with cutting-edge technologies including Artificial Intelligence, Machine Learning, Generative AI and Large Language Models (LLMs) while developing their technical skills within a supportive engineering environment. Successful candidates will gain hands-on experience working alongside experienced engineers and data scientists … graduate opportunities in AI, machine learning, data science or software engineering. Key Skills: Artificial Intelligence, Machine Learning, Data Science, Python, AI Engineer, Data Analyst, NLP, Deep Learning, Generative AI, Graduate Developer, LLM, Software Engineering. ...

defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant Implement model evaluation frameworks using offline metrics, cross validation, online experiments … connectivity and Data Integrations Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring Understanding ...

well-defined modelling tasks. Build end-to-end ML pipelinesfrom feature engineering and preprocessing to deployment-ready model outputs. Apply advanced techniques such as NLP, time-series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation frameworks using offline metrics, cross-validation, online experiments … connectivity and Data Integrations Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis. Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine-tuning. Experience building end-to-end ML pipelines, including model validation, optimisation, deployment, and monitoring. Understanding ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

Senior Data Scientist A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production. The Company They are a growing data and AI organisation developing conversational … tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams. The Role Build and fine tune LLMs and NLP models for analytics ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture – Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy … financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval‐augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture.* **AI Engineering & Architecture -** Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories.* **Data Strategy … financial services or enterprise environments.* Demonstrated success building AI applications in investment banking, asset management, or capital markets domains.* Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices.* Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered … design and backend architecture Proficiency with Git Willingness to work 2 days per week onsite in London Nice to have Exposure to NLP or search systems (e.g. semantic search) Experience working with LLMs or generative AI Frontend experience (e.g. React ) Experience with Elasticsearch or OpenSearch Experience with AWS or similar ...

office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand … demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches ...

modelling, fraud detection, and optimisation. The Role • Deliver full lifecycle AI and ML projects from prototype to production. • Build applied AI workflows including LLMs, NLP, and RAG‐based solutions. • Work with large and messy tabular datasets to create high‐impact models. • Develop classification and optimisation approaches to enhance customer outcomes. … more AI‐driven product ecosystem. Your Skills and Experience • Strong commercial experience deploying AI and ML systems into production. • Hands‐on experience with LLMs, NLP, or retrieval‐augmented workflows. • Confident working with large‐scale tabular datasets and complex data environments. • Cloud experience, ideally AWS, plus familiarity with MLOps practices. • Background ...

Staff Machine Learning Engineer – NLP/Search/LLMs London (Hybrid – 2 days onsite) £90,000 – £110,000 + Equity I'm working with an AI-first technology platform transforming how complex intellectual property research is done using LLMs, NLP and advanced search systems . They were early adopters … building agentic AI workflows that can autonomously answer complex research questions. They're looking for a Staff ML Engineer to help scale their NLP and search capabilities . What you'll be doing • Improving search quality (precision & recall) across large datasets • Designing LLM-powered workflows and agentic systems • Building ...

Strong experience with SQL databases such as MS SQL or Oracle Experience with NoSQL technologies like MongoDB or Neo4j Solid background in ETL, data processing and integration Python development experience Experience working … prem or hybrid environments (not purely cloud-based) Understanding of big data technologies such as Hadoop is beneficial Nice to have: Exposure to NLP, OCR or Generative AI Experience with containerisation tools like Docker Background in engineering, industrial or defence environments Location: Bristol (2–3 days onsite) Salary: Competitive + ...

automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns). Bring … CloudWatch, API Gateway, ECS, ECR, SQS, SNS). Familiarity with Open AI APIs, Agentic AI – Crew/LangChain/RAG/AutoGen/NLP/Java/Python/REST/Telemetry/Security/Auditability. Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding ...

Build, train, and optimise machine learning models used by financial services clients and quant teams. • Develop LLM‐based solutions including finetuning, conversational agents, and NLP‐to‐LLM pipelines. • Contribute to proprietary data assistance products designed for analytical workflows. • Work across Python‐based modelling, experimentation, and error analysis. • Collaborate closely with … trading‐focused models. • Experience building ML models end‐to‐end, including optimisation and error analysis. • Knowledge of LLMs, finetuning, conversational AI, or modern NLP techniques. • Comfortable working in a collaborative environment with engineers and product teams. What They Offer • Opportunity to work directly with senior leaders and impact product direction. ...

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 ...