data exchange and processing (ETL, ESB, APIs). Proficiency in Python or similar programming languages. Familiarity with big data frameworks (e.g., Hadoop ecosystem). Desirable Skills: Understanding of NLP (NaturalLanguageProcessing) and OCR (Optical Character Recognition). Exposure to Generative AI concepts and tools. Experience with containerisation (e.g., Docker). Background in the industrial or More ❯
sheffield, south yorkshire, yorkshire and the humber, united kingdom Hybrid / WFH Options
TEKsystems
to provide a single, comprehensive data cataloguing solution across the business units through architecting, positioning and delivering data science and machine learning. Key Skills: Machine Learning, deep learning TensorFlow & NLP (NaturalLanguageProcessing) Python - Pandas, PyCharm, Numpy SQL - MySQL, PostgreSQL, NoSQL, RDBMS Design and modelling GitHub & Jenkins Data Modelling, Data Wrangling and Extraction *Hybrid working, 2 days More ❯
deep knowledge of banking operations alongside an appreciation for regulatory considerations unique to this sector. You possess a thorough understanding of artificial intelligence concepts such as machine learning or NLP without needing direct coding skills-enabling you to communicate effectively with technical experts while focusing on strategic outcomes. Your proven ability in programme management means you can juggle multiple projects … including customer delivery models as well as familiarity with regulatory frameworks governing financial institutions. Conversant in artificial intelligence concepts such as machine learning, naturallanguageprocessing (NLP), automation technologies including generative AI or agentic AI-without requiring hands-on coding expertise. Extensive experience in programme management encompassing oversight of multiple concurrent workstreams within complex organisations. Exceptional stakeholder More ❯
benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and NaturalLanguageProcessing (NLP) solutions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI-driven transformation initiatives. Establish metrics More ❯
value and efficiency. Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions/NaturalLanguageProcessing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software More ❯
value and efficiency. Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions/NaturalLanguageProcessing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software More ❯
london (bromley), south east england, united kingdom
Ascendion
value and efficiency. Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions/NaturalLanguageProcessing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software More ❯
benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and NaturalLanguageProcessing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯
benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and NaturalLanguageProcessing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯
benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and NaturalLanguageProcessing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯
benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and NaturalLanguageProcessing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯
london (city of london), south east england, united kingdom
develop
benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and NaturalLanguageProcessing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯
de Kennis en Intelligence Architectuur bij Het ontwikkelen van een beslisondersteuningssysteem voor indicatiestelling in het kader andere (dan WLZ) zorg Beslisregelsets worden gebaseerd op Decision Model and Notation (DMN) NLP ofwel NaturalLanguage Programming Structureren van data, anders dan voor conventionele verzamelingen, met behulp van AI-modellen voor extractie en/of interpretatie op basis van aangeleverde documenten … het kader van de Wet langdurige zorg. Dit systeem maakt gebruik van een beslisregelset gebaseerd op Decision Model and Notation (DMN). Deze beslisregels, ontworpen als 'regels als code' (NLP ofwel NaturalLanguage Programming), helpen indicatiestellers bij het nemen van beslissingen op basis van gestructureerde data. Voor het structureren van de benodigde data zetten we onder anderen AI … Business IT en management, Informatiemanagement of bedrijfskunde en bekend met, hebt affiniteit met of nieuwsgierig naar: Architectuurraamwerken zoals TOGAF, ArchiMate, NORA; Gegevensarchitectuur, datakwaliteit en datagovernance (bijv. DAMA-DMBOK2); AI, NLP, Kennismanagement, Capability management; Data modelleren (bv. ANSI sparc 3-level modelling) en Metadata management; Complexe procedures en processen en wet- en regelgeving Business intelligence en informatievoorziening. Competenties Deze competenties zoeken More ❯
de Kennis en Intelligence Architectuur bij Het ontwikkelen van een beslisondersteuningssysteem voor indicatiestelling in het kader andere (dan WLZ) zorg Beslisregelsets worden gebaseerd op Decision Model and Notation (DMN) NLP ofwel NaturalLanguage Programming Structureren van data, anders dan voor conventionele verzamelingen, met behulp van AI-modellen voor extractie en/of interpretatie op basis van aangeleverde documenten … het kader van de Wet langdurige zorg. Dit systeem maakt gebruik van een beslisregelset gebaseerd op Decision Model and Notation (DMN). Deze beslisregels, ontworpen als 'regels als code' (NLP ofwel NaturalLanguage Programming), helpen indicatiestellers bij het nemen van beslissingen op basis van gestructureerde data. Voor het structureren van de benodigde data zetten we onder anderen AI … Business IT en management, Informatiemanagement of bedrijfskunde en bekend met, hebt affiniteit met of nieuwsgierig naar: Architectuurraamwerken zoals TOGAF, ArchiMate, NORA; Gegevensarchitectuur, datakwaliteit en datagovernance (bijv. DAMA-DMBOK2); AI, NLP, Kennismanagement, Capability management; Data modelleren (bv. ANSI sparc 3-level modelling) en Metadata management; Complexe procedures en processen en wet- en regelgeving Business intelligence en informatievoorziening. Competenties Deze competenties zoeken More ❯
such as artificial neural networks, deep learning, and reinforcement learning. Demonstrated knowledge and experience using artificial intelligence and machine learning techniques within one or more of the following fields: naturallanguageprocessing, image processing and computer vision, image and pattern recognition. Demonstrated knowledge and experience with large language models for generative AI and associated concepts More ❯
or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, naturallanguage-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, naturallanguageprocessing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯
or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, naturallanguage-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, naturallanguageprocessing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯
or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, naturallanguage-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, naturallanguageprocessing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯
or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, naturallanguage-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, naturallanguageprocessing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯
london (city of london), south east england, united kingdom
Crone Corkill
or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, naturallanguage-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, naturallanguageprocessing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯
solve complex business challenges. Provide expert consultation on the integration and performance improvement of AI technologies in day-to-day business processes. Skills & Experience: Proven expertise in General AI, NaturalLanguageProcessing, and Machine Learning. Demonstrable experience in managing lifecycle of large language models and statistical language models including training and fine-tuning. Strong proficiency More ❯
years of experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases, knowledge bases, and AI UX (Conversational) 1+ years of experience with NaturalLanguageProcessing 1+ years of experience working on Machine Learning/Data Science projects (data engineering, training/fine-tuning language models, feature engineering, integration, and More ❯
years of experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases, knowledge bases, and AI UX (Conversational) 1+ years of experience with NaturalLanguageProcessing 1+ years of experience working on Machine Learning/Data Science projects (data engineering, training/fine-tuning language models, feature engineering, integration, and More ❯
years of experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases, knowledge bases, and AI UX (Conversational) 1+ years of experience with NaturalLanguageProcessing 1+ years of experience working on Machine Learning/Data Science projects (data engineering, training/fine-tuning language models, feature engineering, integration, and More ❯
years of experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases, knowledge bases, and AI UX (Conversational) 1+ years of experience with NaturalLanguageProcessing 1+ years of experience working on Machine Learning/Data Science projects (data engineering, training/fine-tuning language models, feature engineering, integration, and More ❯
