176 to 200 of 285 Natural Language Processing Jobs in the UK

in agile teams. Key Responsibilities: Lead the architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance and manage end-to-end ML lifecycle (data … experience, with at least 3 years in AI/ML. Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc.) and … architecture, and CI/CD pipelines. Proven experience in leading teams, managing stakeholders, and delivering end-to-end AI/ML projects. Nice to Have: Exposure to LLMs (Large Language Models), generative AI , or transformer architectures . Experience with data engineering tools (Spark, Airflow, Snowflake). Prior experience in fintech, healthtech, or similar domains is a plus. More ❯

architectures. - Establish modelling frameworks with statistical quality control, detecting drift and decay. - Drive best practices for model explainability (e.g., SHAP/LIME) and scalable ML systems (including generative AI, NLP, CV, and recommendation engines). - Partner with engineering teams to ensure robust deployment and adherence to MLOps principles. - Shape and consult on broader data strategy and infrastructure. - Mentor and coach … Statistics, Computer Science, or a related field. - 5+ years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). More ❯

architectures. - Establish modelling frameworks with statistical quality control, detecting drift and decay. - Drive best practices for model explainability (e.g., SHAP/LIME) and scalable ML systems (including generative AI, NLP, CV, and recommendation engines). - Partner with engineering teams to ensure robust deployment and adherence to MLOps principles. - Shape and consult on broader data strategy and infrastructure. - Mentor and coach … Statistics, Computer Science, or a related field. - 5+ years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). More ❯

on large volumes of text-based information. They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. You will … close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using domain-specific datasets. … integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents). Experience conducting applied research and converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding of More ❯

agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD) Experience applying Generative AI, NLP, and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. Excellent communication and presentation skills. More ❯

agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD) Experience applying Generative AI, NLP, and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. Excellent communication and presentation skills. More ❯

agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD) Experience applying Generative AI, NLP, and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. Excellent communication and presentation skills. More ❯

across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and More ❯

across internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and More ❯

practical delivery at scale What we’re looking for Solid experience in AI/ML engineering , ideally within a SaaS or data-driven product environment Deep understanding of LLMs, NLP , and modern AI toolchains Strong background in Python , APIs, and distributed systems Experience or exposure to Node/Typescript Proven ability to lead — setting standards, driving best practices, and collaborating More ❯

you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested More ❯

you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to chinmaye.ramnath@james-chase.com More ❯

proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is More ❯

proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is More ❯

or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's More ❯

Skillsets: Applied AI Knowledge: Practical experience integrating and consuming AI/ML models within a production environment. Familiarity with common AI/ML concepts (e.g., supervised/unsupervised learning, NLP, computer vision fundamentals). Experience working with AI APIs (e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models. Understanding of data processing for AI … both technical and non-technical stakeholders. Bonus Points For: Experience in the iGaming, sports, or entertainment industry. Familiarity with Web3 technologies, NFTs, or blockchain. Experience with real-time data processing (e.g., WebSockets, Kafka). Contributions to open-source projects or a strong GitHub profile. Experience with A/B testing frameworks and analytics platforms. WHAT WE OFFER Fully remote More ❯

in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise in NLP and LLMs , strong Python engineering skills , and real-world experience shipping and supporting models in production . You should be comfortable owning delivery timelines and ensuring that solutions meet business … production-ready AI systems. Lead the end-to-end development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users. Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability. Continuously improve model quality through tuning, evaluation, and feedback from production usage. Evaluate third … Collaborate with engineering and business partners to define requirements, shape roadmaps, and ensure successful delivery of AI products. What you'll bring: Essential Skills Extensive hands-on experience applying NLP and LLMs to real-world problems, with a consistent track record of shipping models to production and supporting them post-deployment. Strong Python programming skills, including object-oriented design and More ❯

in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python PyTorch TensorFlow scikit-learn NLP LLMs Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE click apply for full More ❯

whilst being able to convert them into viable commercial products. We’d expect you to have: At least 5 years commercial development experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development More ❯

whilst being able to convert them into viable commercial products. We’d expect you to have: At least 5 years commercial development experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development More ❯

fundamentals, data mining, information management and product design. 3. Have experience in product management, product design, UI/UX and data analysis, with an understanding of data mining or NLP applications. 4. Proficiency in SQL, familiar with Axure/Figma design, understanding of interaction visualization principles, familiar with Tableau or other BI visualization & self-service analysis tools. 5. Excellent logical More ❯

fundamentals, data mining, information management and product design. 3. Have experience in product management, product design, UI/UX and data analysis, with an understanding of data mining or NLP applications. 4. Proficiency in SQL, familiar with Axure/Figma design, understanding of interaction visualization principles, familiar with Tableau or other BI visualization & self-service analysis tools. 5. Excellent logical More ❯

be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel More ❯