226 to 250 of 388 Natural Language Processing Jobs in the UK

Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and More ❯

frontend engineers, data scientists, platform engineers, and external partners. What You'll Do * Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose … APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and reporting * Ensure system portability via containerisation * Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and More ❯

with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Masters degree or equivalent relevant programs More ❯

with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive More ❯

with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive More ❯

our mission and shape the future! Why this role? As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine … enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Please Note: We have offices in London, Toronto, San Francisco, New York but More ❯

leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD More ❯

models (e.g., customer scoring, matching algorithms) Own the full model lifecycle: scoping, building, deploying Work closely with engineers and leadership to shape the roadmap Explore use of GenAI and NLP to enhance platform capabilities YOUR SKILLS AND EXPERIENCE 4–5 years’ experience in Data Science Strong Python + experience putting models into production End-to-end project experience (scoping to 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 ❯

demonstrating domain knowledge and AI expertise. Translate complex business challenges into AI-enabled solutions, collaborating with engineering and data science teams to shape delivery. Recommend appropriate AI technologies (e.g. NLP, ML, predictive analytics) and approaches based on business value and feasibility. Ensure AI solutions are ethical, explainable, and aligned with regulatory and risk frameworks. Lead the development and delivery of More ❯

computational performance. Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale More ❯

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 ❯

Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL and large-scale datasets Excellent communication skills and … GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers) Interest in staying current with AI trends and contributing to internal R&D or More ❯

and conduct large-scale experiments to test hypotheses and drive product development Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc) Qualifications Skills and experience Significant experience (3+ years) working as a … and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI More ❯

BFCL. Qualifications: Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software More ❯

parallel programming models, and optimization techniques Strong problem-solving skills and the ability to work in a collaborative environment Experience with AI/ML/DL/NN/NLP/Computer Vision Python Nice to have Linux CPU Intrinsics (AVX/SSE) GPU Assembler Profiling gdb/LLDB Jinja2 or similar templating engines More ❯

commercial mindset. KEY RESPONSIBILITIES Design and lead AI/ML/GenAI projects across sectors Influence client strategy and solution design Deliver real-world business impact through simulation, ML, NLP Engage in high-level stakeholder conversations and proposal development Help formalise and grow the advanced analytics team YOUR SKILLS AND EXPERIENCE 5+ years in Data Science/AI/ML More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

following as possible: SQL Azure (Key Vault/Data Factory/Data Lakes) Power Apps CRMs (ideally D365) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Solid analytical mindset as well as communication skills to be able to work with people at all levels Ability to work as part of a team, sharing knowledge and using More ❯

too) CRMs (ideally D365) R or Python (or the willingness to learn either if not worked with already) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Ability to work as part of a team, sharing knowledge and using your expertise to help others and improve current and future offerings If you like what you've read More ❯

and disciplined methodology-profiling to identify gaps, roofline analysis on hardware, identifying key optimizations, establishing uplift and line-of-sight, prototyping, and developing optimizations. Support mission-critical workloads in NLP/LLM, Recommendation, Vision, and Audio. Collaborate with system-level performance architects, GPU hardware specialists, power/clock tuning teams, performance validation teams, and marketing teams to analyze and optimize More ❯

Position Available: NLP & Generative AI Data Scientist Location: Gloucestershire OR Hertfordshire Salary: £45,000 - £50,000 + Benefits Experience needed: We're looking for a Data Scientist with strong NLP and Python skills, and hands-on experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG). You'll be comfortable developing production-ready AI tools and collaborating … across engineering, IT, and business functions. About the role: We're hiring a Data Scientist specialising in NLP and Generative AI to help build and deploy cutting-edge language-based solutions across a complex engineering organisation. You'll work with internal users across diverse teams - from design and manufacturing to systems engineering - developing tools powered by large language models (LLMs), Retrieval-Augmented Generation (RAG), and modern NLP techniques. From data preparation to algorithm design and deployment, you'll own the full data science lifecycle and help shape the future of AI capability across the business. This is a hands-on, impactful role within a newly formed GenAI team, with plenty of opportunity to influence tooling, architecture, and More ❯

AI firm on a mission-critical Defence deployment. This greenfield build calls for a Golang specialist to help deliver backend systems that support real-time inference, transcription pipelines, and natural language interaction all under tight performance and security constraints. Your Role: Build high-performance services using Golang in secure environments Develop ingestion and processing pipelines … for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally More ❯

AI firm on a mission-critical Defence deployment. This greenfield build calls for a Golang specialist to help deliver backend systems that support real-time inference, transcription pipelines, and natural language interaction – all under tight performance and security constraints. Your Role: Build high-performance services using Golang in secure environments Develop ingestion and processing pipelines … for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally More ❯