151 to 175 of 320 Natural Language Processing Jobs in England

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

MLOps, RPA, and regulatory trends. What You’ll Bring: Essential: Proven experience leading AI, ML, or automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially More ❯

GenAI, MLOps, RPA, and regulatory trends. What You'll Bring: Proven experience leading AI, ML, or automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially More ❯

AI implementation • Minimum of 5 years’ experience in one or more languages (Python preferred). • Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication More ❯

AI implementation • Minimum of 5 years’ experience in one or more languages (Python preferred). • Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication More ❯

owners and marketing performance managers. Experience in Python and SQL. Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Deep understanding of Generative AI, NLP, and MLOps concepts. Analytical, flexible, independent, and a strong communicator. WE OFFER: A flexible, hybrid working policy (2 days from the office, depending on location). An excellent salary based More ❯

AI to work across organizations. The company's Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company … Java, C#). 2+ years of experience in the production deployment of Automation Anywhere A360 bots. Knowledge and understanding of Generative AI techniques, including deep learning, neural networks, and natural language processing. Familiarity with process analysis and improvement methodologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively … AI to work across organizations. The company's Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company More ❯

AI to work across organizations. The company's Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company … Java, C#). 2+ years of experience in the production deployment of Automation Anywhere A360 bots. Knowledge and understanding of Generative AI techniques, including deep learning, neural networks, and natural language processing. Familiarity with process analysis and improvement methodologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively … AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

Critical Technical Skills: Production ML deployment - Demonstrated experience maintaining AI/ML models in production AWS ML services - SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, Redshift Hugging Face deployment - NLP, vision, and generative models in AWS environments API development - Flask, FastAPI microservices and REST API frameworks DevOps integration - CI/CD pipelines, Jenkins, Maven, Chef, Git version control Cloud architecture More ❯

familiarity with at least one deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised learning, Bayesian methods, NLP, time-series analysis, and SQL querying Ability to scope, design, and lead delivery of innovative data science solutions High level of mathematical and statistical competence Demonstrated ability to lead teams More ❯

as TensorFlow, PyTorch, scikit-learn, and backend frameworks like FastAPI, Django, Flask. Experience with frontend frameworks: React, Vue, or Angular. Hands-on experience building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services. Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD pipelines. Experience with prompt engineering, LLM More ❯

cash (sweeps, interest) and suggest proactive funding strategies Open-Banking & ERP Integrations: Securely connect to bank APIs and accounting platforms for seamless data ingestion AI-Driven Insights: Experiment with NLP/LLM features to automate anomaly detection, categorize transactions, and deliver contextual recommendations Skills and Experience Ownership Mindset: You own problems end to end, from customer needs to solution delivery More ❯

Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform More ❯

of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is now looking to recruit an experienced & passionate … including MS Office, Figma, Miro, Jira, Slack, and others. KPI-driven with proven ability to query, analyze, and understand data using required analytical tools. Communication & Presentation Excellence: Strong English language skills (spoken and written), with additional languages as a plus. Ability to present business and technical concepts clearly across verbal, written, and presentation formats, including sales pitches and internal More ❯

a more sophisticated approach to data science and machine learning across the business. Key projects the team are working on currently: Dynamic pricing algorithms for the website Recommender systems NLP and classification Customer and marketing behaviour (LTV and segmentation) A big focus for the next few months will be to make their current product pricing algorithms better! YOUR SKILLS AND More ❯

real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical More ❯

real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical More ❯

strategy roles, with at least 2 years focused on AI or martech innovation. Proven experience in fintech or financial services marketing. Strong understanding of AI technologies (e.g., machine learning, NLP, generative AI) and their marketing applications. Experience with platforms such as Salesforce, HubSpot, Segment, Adobe Experience Cloud, or similar. Excellent analytical, communication, and stakeholder management skills. Bachelor’s degree in More ❯

Job description At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented More ❯

AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯

AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯

Our Client is building capability in cutting-edge ML, with a focus on LLM-based video processing - aiming to understand and classify video content using advanced models.Looking for talent with hands-on experience in … video analysis and natural language understanding. Rate: £400 a day/Including Agency Fee Location: Fully Remote Start Date: Flexible Ideal Profile: Python ML frameworks (e.g. TensorFlow) NLP/LLM experience Cloud platforms (any major provider: GCP, AWS, Azure) Seniority: Mid-level (ideally 3-5 years of experience; up to 8 years acceptable) Must be competent, reliable, and More ❯

At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global banks, we have access to datasets that have not been made available in the past.This allows us to … gain experience of company and culture creation in still early stage of our start-up journey. The Role: Provide scientific depth in a data science team including ML and NLP scientists and linguists. Design new ML tasks from raw data through new ML methods to finalised products that will be used by our customers. Drive innovation on tasks that are … in a specialised domain and do not conform to standard NLP tasks. Think creatively and innovatively to produce effective models and complete ML pipelines. Some problems you might work on: Automated flagging of cases where model predictions might be incorrect. Building more efficient data annotation strategies to fine-tune an LLM. Requirements: MSc with enough research experience (industry or academia More ❯