151 to 175 of 384 Natural Language Processing Jobs in the UK

e-commerce platforms (Amazon, Target), messaging services, and weather/location APIs. Need experience with RESTful APIs, webhooks, and managing multiple third-party service integrations. - AI/ML Integration & Natural Language Processing - Implement intelligent text parsing to extract party details from emails/calendars, build a gift recommendation engine considering age/budget/delivery factors, and More ❯

search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯

field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be More ❯

education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias More ❯

investment activity); and (4) tracking what their competitors are doing. Our core technology is built on real-time analytics running on private and public company data. This fuels our Natural Language Processing AI with 50M+ companies and 10B+ aggregated data points, allowing us to be 3x-5x better than alternatives. We are proud to count amongst our More ❯

languages such as Python, Bash or similar - Knowledge of Big Data tech such as Hadoop or simlar - Knowledge in the following areas are highly desirable but not essential - AI, Natural Language Processing, OCR - Experience with containerisation via Docker is highly advantageous - Please not roles are subject to UK security clearance checks as such candidates must be eligible More ❯

opportunity for someone who enjoys innovation, ownership, and building visually engaging products. You'll be joining a collaborative, design-focused team solving some of the most interesting problems in natural language processing and knowledge visualisation. What You’ll Be Doing Building responsive front-end experiences in React, React Native, and Expo Collaborating closely with the Lead Visual More ❯

opportunity for someone who enjoys innovation, ownership, and building visually engaging products. You'll be joining a collaborative, design-focused team solving some of the most interesting problems in natural language processing and knowledge visualisation. What You’ll Be Doing Building responsive front-end experiences in React, React Native, and Expo Collaborating closely with the Lead Visual More ❯

multiple organisations for collaborative tasks. Detail oriented with excellent prioritisation, and multitasking abilities. Ability to work collaboratively with minimal supervision. Familiarity with AI technologies, such as ChatGPT or similar natural language processing model Experience in the insurance and/or consulting or wider financial services sector. Why join our team: We help you be your best through More ❯

multiple organisations for collaborative tasks. Detail oriented with excellent prioritisation, and multitasking abilities. Ability to work collaboratively with minimal supervision. Familiarity with AI technologies, such as ChatGPT or similar natural language processing model Experience in the insurance and/or consulting or wider financial services sector. Why join our team: We help you be your best through More ❯

the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key More ❯

will focus on building real, production-grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. … Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer-facing and internal tools. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs … Django REST Framework. Proven track record of building and deploying AI/ML-powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (Django, FastAPI, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based More ❯

managing hybrid teams that include both Data Scientists and ML Engineers Exposure to modern MLOps tooling (e.g. MLflow, Feature Store, SageMaker, Vertex AI) Familiarity with unstructured data modeling (e.g. NLP, embeddings, LLMs) and GenAI product patterns Experience working in product-led or B2B SaaS environments You bring a coaching mindset and love growing talent as much as shipping great models More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven More ❯

measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven More ❯

Excellent communication & stakeholder management skills, with the ability to drive value via end-to-end ownership of business use cases related problems. - Early experience of new tech - such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security). - Front end development (GUI) experience with the ability to leverage the Azure Databricks platform (Databricks Apps More ❯

working in a microservices architecture (Go Lang experience is a plus). You have extensive experience with real-time ML applications, reinforcement learning, graph-based models, and/or NLP . You can communicate complex ML concepts to both technical and non-technical audiences , influencing senior stakeholders and executives. You thrive in ambiguous, fast-changing environments and have a proactive More ❯

and cross-functional teams. Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative More ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

collaboration with qualitative researchers (e.g., ethnographers, human factors specialists) and research scientists and/or data scientists Experience mentoring other researchers and driving team excellence Experience with generative AI, NLP, and its applications in research Domain expertise in streaming/entertainment and/or commerce Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data More ❯

presentation and communication skills - able to use a variety of data visualisation techniques to easily explain the results of your analysis to a non-technical audience knowledgeable in GenAI, NLP and other Deep Learning techniques a plus (We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points More ❯

similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to interpret complex data and share insights clearly with both technical More ❯