1 to 25 of 54 Natural Language Processing Jobs in Yorkshire

the product, but also the full lifecycle including the deployment, testing and production support of the application. Key Experience: MUST HAVE Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. Minimum 2-3 years practical (not theoretical) experience in Machine Learning Experience delivering … to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. More ❯

Python, SQL) Exploratory data analysis Data storytelling and visualization Ethics in data and AI Applied mathematics and statistics Data model measurement and testing Insight and decision making Machine learning Natural language processing Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini) Consulting Skills: Effective teamwork Business acumen Time management Stakeholder management Presentations More ❯

Computer Science or equivalent Data Science-related experience. You and your role As a Senior Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, natural language processing, using Python and SQL along with coding best practice to develop extensible and reusable codebases. You'll also be responsible for the capability development of More ❯

speaks fluent LLM and dreams in Vector Databases. As a Senior AI Engineer, you will be working with the latest in AI technology, including agent libraries, advanced LLMs and NLP tools. You'll have the opportunity and autonomy to lead the development and implementation of AI-powered solutions. This role will focus on integrating diverse data sources, refining AI interactions … to your family why you're "still playing with computers" (because the results speak for themselves) A day in the life of a Senior AI Integration Engineer Working with NLP that utilizes cutting-edge AI technologies to integrate AI-driven insights across company systems, enhancing access to data and supporting decision-making processes. Leverage AI technologies (LLMs) to continue development … connecting the dots What you’ll need to succeed: At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs. Strong experience with prompt engineering and NLP tasks. Proven experience integrating AI systems with data platforms (databases, data lakes, APIs). Familiarity with data wrangling and preparation tools. Programming skill in Python and experience with AI frameworks More ❯

Skills & Experience: Strong coding experience in Python and the ML/AI ecosystem. Solid understanding and hands-on experience with core Machine Learning concepts. Specialization or significant exposure to NLP, LLMs, Generative AI, or Deep Learning frameworks (expertise in at least one area). Experience delivering training, mentoring, or leading workshops or lectures (Trainer, Instructor, Lecturer, Coach, Mentor, Educator). More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

deliver excellent travel experiences with a 'Customer First' approach, creating memorable holidays and flights. We value our team members highly. Key Responsibilities Develop and implement predictive analytics, forecasting, and NLP models for use cases like aircraft maintenance and operational optimization. Lead initiatives, adhere to Data Science methodologies, and manage project tasks and progress. Collaborate with data teams to ensure data More ❯

Responsibilities: Partner with engineering and technology teams to identify opportunities for applying data science techniques to deliver measurable business value. Develop and deploy predictive models, time-series forecasting, and natural language processing solutions to address real-world operational challenges. Design and implement scalable data pipelines and frameworks to ensure data quality, accuracy, and integrity. Present findings and More ❯

the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and … compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses More ❯

, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate … Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding … a strong possibility of extension. Inside IR35 . Apply Now: If you're a Machine Learning Engineer with a passion for applied AI in real-world environments, especially document processing, we’d love to speak with you. Submit your CV or reach out for more details. Seniority level Seniority level Not Applicable Employment type Employment type Contract Job function More ❯

and qualifications: Experience: 5+ years in product management, innovation, or marketing technology, ideally within an agency, adtech, or SaaS environment. Technical Fluency: Strong understanding of AI/ML concepts (NLP, Gen AI, predictive modeling), APIs, and no/low-code platforms. Performance Marketing Acumen: Familiarity with media channels (Meta, Google, TikTok, etc) attribution, creative testing, and reporting workflows. Skills or More ❯

and qualifications: Experience: 5+ years in product management, innovation, or marketing technology, ideally within an agency, adtech, or SaaS environment. Technical Fluency: Strong understanding of AI/ML concepts (NLP, Gen AI, predictive modeling), APIs, and no/low-code platforms. Performance Marketing Acumen: Familiarity with media channels (Meta, Google, TikTok, etc) attribution, creative testing, and reporting workflows. Skills or More ❯

Every business in the world, in every sector, needs to know who they are engaging with and Xapien helps them answer that question – quickly and accurately. We use deep Natural Language Processing, AI and huge scale cloud infrastructure to automate human research. We locate, collect, read, distil and assimilate hundreds of thousands of fragments of information – allowing More ❯

follows: Location: Remote Duration: 6 months, with a high likelihood of extension Start date: Ideally immediate (they may wait up to 4 weeks for the right candidate) Skills required: NLP, Modelling, Python, SQL, Databricks, Anomaly Detection You will be joining their customer security team, which uses machine learning to detect anomalies and erroneous activity on customer accounts. Your role will More ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. 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 Data Science ways of working … be able to 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 for the business to realise value from More ❯

UK start-up We are partnering with a leading provider of consulting and solutions, specialising in AI solutions that streamline manual tasks and boost efficiency. Their platform, powered by natural language processing, offers real-time, cost-effective assessments for organizations dealing with documents, reports, and assessments. Founded in 2023, the company is now building the GTM function More ❯

advanced machine learning and generative AI are applied to solve high-impact business problems. Key Responsibilities: Design, develop, and deploy production-grade AI/ML models for intelligent document processing (IDP), focusing on text and image-based content extraction and classification. Maintain a strong focus on code quality, security, and resilience in all ML pipelines and APIs. Apply both … based ML/OCR frameworks. Contribute to the full product lifecycle, including development, testing, deployment, monitoring, and support. Required Skills & Experience: Proven expertise in Document AI/Intelligent Document Processing, using both traditional … ML models and Generative AI (e.g., open-source LLMs and fine-tuning for domain-specific tasks). Strong experience delivering machine learning solutions in Python, with applied knowledge in NLP, OCR, image processing, and deep learning. Familiarity with core libraries and frameworks such as PyTorch, TensorFlow, Hugging Face, SpaCy, OpenCV, and Regex. A practical understanding of productionising AI systems More ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. 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 Data Science ways of working … be able to 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 for the business to realise value from More ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. 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 Data Science ways of working … be able to 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 for the business to realise value from More ❯

and Experience Post-graduate qualification 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/or data science solutions. More ❯