176 to 200 of 361 Natural Language Processing Jobs in England

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 ❯

years working on large-scale ML codebases Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s) Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops Strong software-design instincts: testing, code review, CI/CD Self-starter, low-ego, collaborative Benefits France Competitive cash salary and 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 ❯

agentic models into real-world forecasting and product platforms. What you'll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What More ❯

and agentic models into real-world forecasting and product platforms. What youll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What More ❯

agentic models into real-world forecasting and product platforms. What you’ll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What More ❯

hospitality sector approaches pricing and forecasting . The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role . This role will be deeply analytical and mathematical , with an emphasis More ❯

hospitality sector approaches pricing and forecasting . The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role . This role will be deeply analytical and mathematical , with an emphasis More ❯

legal sector, and make informed recommendations on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI-related More ❯

legal sector, and make informed recommendations on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI-related More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What More ❯

or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that More ❯