1 to 25 of 112 Natural Language Processing Jobs in the UK

rapidly react to trader/sales/management demands in traditional ways but also using techniques in natural language processing (NLP) and machine learning (ML) and artificial intelligence (AI) to maximize our return on the large-scale data sets we curate. What we’ll offer … Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation First degree in Maths/Natural Science/Computer Science/Engineering, PhD or Masters desirable. Some experience of machine learning and natural language processing a bonus ...

requires rapidly reacting to trader/sales/management demands in traditional ways but also using techniques in natural language processing (NLP) and machine learning (ML) and artificial intelligence (AI) to maximize our return on the large-scale data sets we curate. What we’ll offer … tools in a collaborative environment (git/bitbucket/JIRA etc.) Advanced Degree (PhD OR Masters) in a relevant subject such as Mathematics/Natural Science/Computer Science/Engineering Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel to the office The Role … 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 from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights ...

production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning workflows … capable of supporting advanced AI capabilities Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation ...

delivery of new SOTA challenger models Tuning and optimising strategies for incumbent models Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes … experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience designing evaluation frameworks for LLM use cases ...

patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models are explainable, validated, and compliant with internal governance … business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills in complex environments Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer ...

solutions that automate complex reasoning and decision-making tasks. The mandate requires a deep understanding of statistical modelling, natural language processing (NLP), and time-series analysis, combined with the ability to demonstrate the tangible business value of AI to senior stakeholders. Candidates must possess a proven track … must be comfortable delivering work at pace in a matrixed environme nt.Scientific Foundati on: A strong background in the ML lifecycle, including expertise in NLP, time-series analysis, and predictive modelli ng.Technical Sta ck: Proficiency in Python, R, or PySpark is mandato ry.Cloud & Data Platfor ms: Architectural knowledge ...

Contribute to scalable, cloud-native application development Your work is expected to span across: Artificial Intelligence Machine Learning Natural Language Processing (NLP) Cloud-native engineering Large-scale data processing Modern software engineering practices Platform engineering and automation The Environment You'll be working within ...

What You'll Be Doing As an Applied Data Scientist, you will: Work on complex challenges across AI, Natural Language Processing (NLP), and Machine Learning Build, train and deploy models using tools such as: PyTorch TensorFlow scikit-learn Apply modern data science techniques to real-world, mission … Strong experience in applied data science, machine learning or AI Hands-on experience with frameworks such as PyTorch, TensorFlow or sklearn Experience working with NLP or advanced analytics (desirable) Ability to move from research and prototyping into production environments A mindset suited to experimentation, innovation, and continuous learning Security Requirements ...

robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical … Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods ...

. Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with cloud platforms such as AWS, GCP, or Azure for model deployment and scalability. Experience in building APIs, services, and infrastructure to support … Experience in AI/ML engineering with a focus on LLMs and NLP. Proven track record of fine-tuning pre-trained models for various NLP tasks. Experience in MLOps and deploying machine learning models in production. Our client is offering a competitive salary including bonus and benefits Candidates must have ...

extracting insights from unstructured data for corporate or financial markets. Collaborate cross-functionally with political scientists, data scientists, and backend developers. Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit if: Proven experience developing, refining, and monitoring machine learning models. Substantial … Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree or certification in NLP, ML, or related fields. Familiarity with DevOps practices and tools. Demonstrable impact of technical solutions or projects on decision-making Experience working in fast-paced ...

drive adoption of AI/ML Solutions into top accounts. - Experience and passion for designing and developing innovative AI/ML solutions that leverage natural language processing, computer vision, statistical learning theory. - Ability to communicate complex topics to an audience with various functional knowledge, i.e. presentation skills ...

drive adoption of AI/ML Solutions into top accounts. - Experience and passion for designing and developing innovative AI/ML solutions that leverage natural language processing, computer vision, statistical learning theory. - Ability to communicate complex topics to an audience with various functional knowledge, i.e. presentation skills ...

could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … well as to grow technical research areas of interest to you. You will have strong experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions ...

client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic & Gen AI has to offer ...

business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. ...

business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. We know your well-being and happiness ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

This UK-headquartered business is a recognised leader in digital due diligence and risk intelligence. Their proprietary technology blends AI and natural language processing to support clients across financial services, investment, and professional advisory sectors. With continued growth planned across 2026 and beyond, they're expanding their ...