851 to 875 of 1,336 Natural Language Processing Jobs in the UK

Data Science function, you'll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new andexciting problems - from customer personalisation models to forecasting and NLP use cases. You'll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions … years of experience in Data Science or a related field Strong programming skills in Python and PySpark Strong data science modelling skills across classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and More ❯

Europe's most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing valuable solutions to some of the More ❯

Europe’s most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing valuable solutions to some of the More ❯

teams Mentor peers and bring cutting-edge ML to life in production What You Bring: Strong Python + ML/LLM stack (Transformers, LangChain, RAG, vector DBs) Experience with NLP, embeddings, and cloud tools (AWS preferred) Ability to solve complex problems and ship real impact Passion for AI, autonomy, and collaborative innovation Bonus: 3D, GIS, or game engine (Unity/ More ❯

Engineer you’ll shape the product. You’ll working with the latest AI tech in a fast-moving, high-impact startup team. What You’ll Do: Deploy & optimise LLMs, NLP, and AI pipelines in production. Build scalable, efficient ML workflows (AWS/GCP, Kubernetes, LangFuse, Agenta). Solve real-world AI challenges — not just churning out tickets. System designers & builders More ❯

orchestration frameworks such as LangGraph, CrewAI. Experience with reinforcement learning libraries like OpenAI Gym, Ray RLlib, or Stable Baselines. Experience in applied machine learning domains such as deep learning, NLP, GenAI. About the Company Pharmaceutical Technology and Development (PT&D) at AstraZeneca transforms science into medicines that help millions. We design and deliver active ingredients, formulations, and devices, providing technical More ❯

with developers and stakeholders to deliver scalable solutions Act as technical lead on internal and vendor-led projects Provide Level 3 support and resolve production incidents Integrate the latest NLP/LLM advancements into real-world tools Ensure systems meet security, performance, and compliance standards Contribute to continuous improvement and strategic planning Ideal Candidate 5+ years in infrastructure, 3+ in More ❯

passion for learning new languages is vital on top of already advanced SQL skills for data manipulation, ideally with Netezza or a similar technology. How to apply: Please mention NLP People as a source when applying Tagged as: Big Data , Data Analysis , Data Mining , Industry , United Kingdom More ❯

technical concepts to diverse audiences. Monitor AI trends and contribute to policy debates on AI ethics and accountability. Required Skills & Experience Expertise in AI/ML areas such as NLP, Computer Vision, Generative AI, etc. Knowledge of AI assessment techniques and frameworks. Proficiency in programming languages like Python. Strong communication skills for technical and non-technical audiences. Experience in advisory More ❯

with developers and stakeholders to deliver scalable solutions Act as technical lead on internal and vendor-led projects Provide Level 3 support and resolve production incidents Integrate the latest NLP/LLM advancements into real-world tools Ensure systems meet security, performance, and compliance standards Contribute to continuous improvement and strategic planning Ideal Candidate 5+ years in infrastructure, 3+ in More ❯

Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field Strong knowledge of probability and statistics (including machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data-driven research environment Experience with NoSQL databases (e.g., MongoDB) Experience with distributed computing using MapReduce Experience with translating mathematical models and algorithms into code More ❯

business value is realized at every stage. Key Skills and Experience: Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments. Hands-on expertise with LLMs, NLP, MLOps, RAG pipelines, APIs, and real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure More ❯

business value is realized at every stage. Key Skills and Experience: Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments. Hands-on expertise with LLMs, NLP, MLOps, RAG pipelines, APIs, and real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure More ❯

stage company Strong experience of leading projects from ideation phase through to production, independently Core Skills Node.js, Python, Ruby on Rails, Go, React Other Skills Machine Learning, Deep Learning, NLP, R Seniority Mid #J-18808-Ljbffr 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 ❯

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 ❯

in proptech and technology sectors, promoting continuous learning. Champion the selection, implementation, and maintenance of cutting-edge technologies. Identify opportunities for integration and innovation in AI, machine learning, RPA, NLP, computer vision, and other relevant technologies. Collaborate with stakeholders across product, operations, sales, and customer teams to address business needs. Develop and maintain strong relationships with technology partners and vendors. More ❯

with cloud platforms (AWS/Azure) is a plus. Exposure to Docker/Kubernetes is advantageous. Understanding of API integration and security fundamentals. Experience or interest in OCR and NLP is beneficial. Knowledge of version control (e.g., Git). Education & Experience: Degree in computer science, software engineering, or a related discipline – or relevant practical experience. Some practical experience with full More ❯

with cloud platforms (AWS/Azure) is a plus. Exposure to Docker/Kubernetes is advantageous. Understanding of API integration and security fundamentals. Experience or interest in OCR and NLP is beneficial. Knowledge of version control (e.g., Git). Education & Experience: Degree in computer science, software engineering, or a related discipline – or relevant practical experience. Some practical experience with full More ❯

with cloud platforms (AWS/Azure) is a plus. Exposure to Docker/Kubernetes is advantageous. Understanding of API integration and security fundamentals. Experience or interest in OCR and NLP is beneficial. Knowledge of version control (e.g., Git). Education & Experience: Degree in computer science, software engineering, or a related discipline – or relevant practical experience. Some practical experience with full More ❯

in proptech and technology sectors, promoting continuous learning. Champion the selection, implementation, and maintenance of cutting-edge technologies. Identify opportunities for integration and innovation in AI, machine learning, RPA, NLP, computer vision, and other relevant technologies. Collaborate with stakeholders across product, operations, sales, and customer teams to address business needs. Develop and maintain strong relationships with technology partners and vendors. More ❯

quality, maintainable, well-documented, and tested code, adhering to software engineering best practices. Design, implement, and deploy production-grade AI/ML models to address various platform needs (including NLP and OCR). Optimize AI models and associated systems for performance, scalability, and cost-effectiveness in a production environment. Implement and manage the infrastructure for MLOps, including fine-tuning, deployment More ❯

interpretability, and orchestrating complex multi-agent systems. Collaborate with engineers to transition experimental models into production-ready systems . Qualifications: Strong background in AI research, applied machine learning, and NLP . Experience with LLM model adaptation, fine-tuning, and inference optimization . Proficiency in Python, Pydantic, FastAPI, and working with LLM APIs (OpenAI, Anthropic, Mistral, etc.) . Understanding of retrieval More ❯

at least 3 years focused on AI or advanced analytics Proven track record of leading high-impact engagements with enterprise clients Deep knowledge of AI technologies (e.g., machine learning, NLP, generative AI), and their practical applications. Understanding of AI governance, risk, and regulatory considerations Excellent communication, stakeholder management, and executive presence Advanced degree in Business, Computer Science, Engineering, or related More ❯

at least 3 years focused on AI or advanced analytics Proven track record of leading high-impact engagements with enterprise clients Deep knowledge of AI technologies (e.g., machine learning, NLP, generative AI), and their practical applications. Understanding of AI governance, risk, and regulatory considerations Excellent communication, stakeholder management, and executive presence Advanced degree in Business, Computer Science, Engineering, or related More ❯