1 to 25 of 376 Natural Language Processing Jobs in England

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to … play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine … tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a … conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science More ❯

commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including … knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

invite applications for a Research Engineer to join the project Conversational AI for Language Learning. This interdisciplinary project explores how cutting-edge Natural Language Processing (NLP) can be harnessed to develop applications that support language learning, particularly in communities and regions where such technologies are scarce or unavailable. The ultimate goal is to lay the … communities in Peru and/or Nepal. Responsibilities include: Collaborating with local partners to co-design and evaluate the application; Gathering and curating multilingual data and resources for conversational NLP; Developing and adapting language technologies for under-resourced languages; Contributing to publications and dissemination of research findings. The Research Engineer will work within an interdisciplinary project team and in … They will be based at the Centre for Human-Inspired AI (CHIA) and the Language Technology Lab (LTL), part of a vibrant and highly research-active environment in NLP and AI at the University of Cambridge. The funds for this post are available for 12 months in the first instance. In Order For Your Application To Be Considered, Please More ❯

Overview AI startup company is looking for bilingual senior data scientist. Working Pattern : Remote Location : Worldwide Language Requirement : Japanese and English fluency As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything - building innovative products, researching new techniques for using Artificial Intelligence in claims … us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building … You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful either Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and More ❯

NLP/GenAI Data Scientist (3 - 6 months)Python coding & NLP and LLMs experience is EssentialLocation: 3 days onsite - do not apply if needing fully remote)Certain Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic … design, intelligent plant monitoring, and autonomous exploratory systems.We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented … Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities In this role you will: Design, implement and maintain scalable NLP and GenAI pipelines (including data processing, preprocessing, evaluation). Perform advanced data analysis on real-world datasets to extract meaningful insights and support decision-making processes. Stay up to date with More ❯

NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our global … energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level … intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented More ❯

NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our global … energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level … intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented More ❯

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking for curious minds to help us shape the future of … AI research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG … world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research More ❯

oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks … Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI … alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end More ❯

oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks … Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI … alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end More ❯

innovative product set to disrupt the insurance market. We are looking for candidates with a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic … product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to … accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained More ❯

compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯

compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯

compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯

compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯

compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯

degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯

degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯

degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯