7 of 7 Permanent Natural Language Processing Jobs in Yorkshire

software engineers. Responsibilities will include: Delivering technical consulting projects. Developing and delivering AI/ML solutions using a large range of techniques (e.g. ML, NLP, LLMs, Motion Capture, Image Recognition, OCR, ...) Building new relationships and maintaining current customer relationships. Applying mathematical and computational methods to tackle real world problems … Experience in translating customer requirements into quantitative models. Experience in one or more of the following technical disciplines: Natural language Processing (NLP) ML (e.g. Random Forests, CatBoost, LXGM, ...) Image Recognition Optical Character Recognition (OCR) Motion Capture Proficient in Python, R or C++, including relevant libraries (numpy More ❯

in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and More ❯

and enthusing our stakeholders. You will: Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our … break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take More ❯

and libraries such as Python and React. Solid understanding of technical architecture, including both on-premises and cloud environments. Knowledge of LLMs, ML, and NLP, especially as applied within conversational assistants or vertical agent contexts. Experience working in startup or scale-up environments. What's in it for you? Competitive More ❯

looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We're currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ … across our Manchester, Leeds, Birmingham, and London offices. What your days will look like: Solution Development: Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive More ❯

Key Responsibilities: 1. Design and implement AI-driven hybrid ETL/ELT pipelines using Python and LLMs: Build scalable ETL workflows that utilize large language models to extract structured and unstructured … data from diverse sources such as PDFs, emails, logs, and web content, enhancing data coverage and flexibility. 2. Develop intelligent data extraction solutions using NLP and machine learning techniques: Apply LLMs and NLP models to identify, extract, and transform complex data entities and relationships from semi-structured or free-text … automation of previously manual processes. 3. Ensure accuracy and consistency in AI-powered data transformations: Implement data quality checks, context-aware validations, and post-processing logic to refine outputs from LLM-based extraction, ensuring reliability and business compliance. 4. Collaborate with data scientists and AI teams to fine-tune More ❯

AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for data ingestion, processing, and model training. Integrate AI/ML models with existing applications and systems. Stay up-to-date with the latest advancements in AI/… for AI models. Strong academic background: A degree in Computer Science, Artificial Intelligence, or a relevant area of study is highly desirable. Experience with NLP or computer vision: Experience with containerization technologies (e.g., Docker, Kubernetes) would be a benefit to this role. Contributions to open-source AI/ML projects … in data cleaning, transformation, and preparation for AI model training. Strong analytical skills to interpret data and evaluate AI model performance. Data Storage and Processing: Understanding of cloud data storage solutions (e.g., object storage, data lakes) and data processing services. DevOps Practices: Familiarity with DevOps principles and tools More ❯