76 to 100 of 272 Natural Language Processing Jobs in the UK

a few related things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with More ❯

a few related things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with More ❯

data structures/algorithms in either (C, C++, Python, Java or Go). 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience designing, training, and evaluating machine learning models. Experience using generative AI, to solve real-world issues. Preferred qualifications: Master's degree … search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯

search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯

junior members of the department, helping them grow Experience Implementing machine learning in production using in-house or third-party data science platforms Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks and Recommendation Systems will be advantageous. You possess excellent communication skills, explaining complicated concepts to non-technical colleagues. Generating insights More ❯

related field, along with substantial university-level teaching experience and a proven ability to engage and inspire students. Candidates must possess expertise in data analysis, machine learning, deep learning, natural language processing, big data, quantitative analysis, and data visualization, as well as proficiency in relevant programming languages and AI technologies. Experience in curriculum development and assessment is More ❯

collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools, or machine learning products Experience using tools like Jira, Confluence, or similar issue tracking and documentation systems 7+ years of experience in client support More ❯

several of the following areas: - Computer Science - Mathematics for Computing - Data Structures and Algorithms - Operating Systems - Distributed Systems - Object Oriented Programming - Robotics - Internet of Things - Machine Learning - Artificial Intelligence - Natural Language Processing We would especially welcome applicants who have experience with physical computing (the design and realisation of interactive objects and installations); Robotics, single board computers, such More ❯

Experience with Azure based AI technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. Experience with deploying AI models More ❯

search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯

on complex, high-value matters at the forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic and international clients, often More ❯

on complex, high-value matters at the forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic and international clients, often More ❯

Search solutions. Establish governance frameworks for architecture compliance and evolution. Key Skills & Experience: Proven experience in enterprise architecture and domain strategy development. Strong understanding of AI-powered search technologies, natural language processing, and information retrieval. Expertise in reference architecture design, operating models, and transition planning. Familiarity with multi-modal search, contextual AI, and explainable AI principles. Ability More ❯

search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯

predictive analytics initiatives that drove measurable business outcomes Strong knowledge of enterprise architecture, data governance, and platform delivery methodologies (Agile/DevOps) Deep expertise in: Machine learning, deep learning, NLP, computer vision Data engineering, big data platforms, and analytics AI/ML model lifecycle management (MLOps) Cloud-native architectures and scalable AI infrastructure Strong understanding of emerging technologies (e.g., generative More ❯

Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career More ❯

Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science , or a related technical field. Strong understanding of core ML concepts (supervised/unsupervised learning, neural networks, NLP, etc.). Hands-on experience with frameworks such as TensorFlow , PyTorch , or scikit-learn . Proficiency in Python and familiarity with common data science libraries (NumPy, pandas, etc.). Solid More ❯

like AutoGen or CrewAI to automate complex tasks and decision-making processes. Master Embedding Strategies: Create and manage high-quality vector embeddings for semantic search, text classification, and other NLP tasks. You will work extensively with vector databases like Pinecone, Weaviate, or Chroma. Construct LLM Chains and Graphs: Utilize LangChain or LangGraph to develop, prototype, and productionize complex, stateful applications More ❯

and validate machine learning and statistical models for prediction, classification, clustering, or optimization. Apply supervised and unsupervised learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch. Implement NLP, time-series forecasting, or optimization algorithms based on project requirements. Evaluate models using appropriate metrics and perform hyperparameter tuning for optimal performance. Convert proof-of-concept models into production-grade More ❯

effectiveness, ensuring contextual accuracy and user satisfaction. Maintain clear documentation of prompt logic, use cases, and integration strategies. Skills and Experience: More than 3 years of experience in AI, NLP, or prompt engineering. Proven track record of designing and optimising prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window More ❯

Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling Exposure to the modern data stack tools (e.g. Snowflake, Databricks). Experience managing P&L, setting go to market strategy or building consulting practices. Exposure to behavioural More ❯

and transformation pipelines to fuel high-quality model training. Model Lifecycle Management : Own the full lifecycle — training, evaluation, deployment, monitoring, and retraining. Neural Network Design : Push the boundaries of NLP, computer vision, and recommendation systems with custom deep learning architectures. Enterprise Integration : Embed Gen AI into core business platforms via APIs, microservices, and cloud-native deployments. Responsible AI : Champion ethical More ❯

setting Industry routes Senior or Lead Data/AI Engineer with strong applied experience Comfortable shipping AI features or automation products Essential skills: Strong experience with Machine Learning, LLMs, NLP and Data Science Proven track record of building and deploying AI models (Python, TensorFlow, PyTorch, LangChain) Hands-on with cloud platforms (preferably Azure, or AWS, GCP) Good understanding of APIs More ❯

setting Industry routes Senior or Lead Data/AI Engineer with strong applied experience Comfortable shipping AI features or automation products Essential skills: Strong experience with Machine Learning, LLMs, NLP and Data Science Proven track record of building and deploying AI models (Python, TensorFlow, PyTorch, LangChain) Hands-on with cloud platforms (preferably Azure, or AWS, GCP) Good understanding of APIs More ❯

to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains More ❯