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 ❯
agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, NaturalLanguageProcessing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large More ❯
agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, NaturalLanguageProcessing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large More ❯
long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in NaturalLanguageProcessing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs … analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language … a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. More ❯
long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in NaturalLanguageProcessing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs … analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language … a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. More ❯
long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in NaturalLanguageProcessing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs … analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language … a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. More ❯
london (city of london), south east england, united kingdom
HCLTech
long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in NaturalLanguageProcessing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs … analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language … a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. More ❯
Engineers, Product Managers, and other stakeholders. The role requires strong mathematical and statistical foundations, excellent software engineering skills, and proven expertise in modern machine learning techniques, including Computer Vision, NaturalLanguageProcessing, and Deep Learning. ---------------------------------------- Key Responsibilities Design, build, and deploy advanced machine learning models and algorithms into production. Lead technical development within cross-functional teams, providing … and experience writing scalable, production-ready code. Hands-on experience with PyTorch, Transformer architectures, and Large Language Models (LLMs). Demonstrated success delivering Computer Vision and/or NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and More ❯
a passion for solving problems using state-of-the-art machine learning, naturallanguageprocessing and generative AI. About the Role: Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph-based AI, and information retrieval … using quick iterations guided by customers' needs. Provide input on project objectives and goals. Communicate effectively with stakeholders. Partner with Engineering to ensure well-managed software delivery. Be an NLP expert with experience in the end-to-end AI development life cycle. About You: You're a fit for the role of Applied Scientist if your background includes: PhD in … a relevant discipline or Master's plus a comparable level of experience 3+ years of hands-on industry experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem More ❯
enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, naturallanguageprocessing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business … and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder relationships, and inspire cross-functional More ❯
City of London, London, United Kingdom Hybrid / WFH Options
LHH
enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, naturallanguageprocessing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business … and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder relationships, and inspire cross-functional More ❯
london, south east england, united kingdom Hybrid / WFH Options
LHH
enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, naturallanguageprocessing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business … and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder relationships, and inspire cross-functional More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
LHH
enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, naturallanguageprocessing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business … and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder relationships, and inspire cross-functional More ❯
outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to naturallanguageprocessing, providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in More ❯
use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, naturallanguageprocessing, and LLMs Excellent leadership and team management skills. A solid understanding of data governance and ethical considerations. Outstanding communication skills to present complex data in More ❯
London, England, United Kingdom Hybrid / WFH Options
Revenir
for learning new technologies, including AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or NaturalLanguageProcessing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee More ❯
london, south east england, united kingdom Hybrid / WFH Options
Revenir
for learning new technologies, including AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or NaturalLanguageProcessing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee More ❯
Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including NaturalLanguageProcessing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX More ❯
Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including NaturalLanguageProcessing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX More ❯
london (city of london), south east england, united kingdom
Premier Group
Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including NaturalLanguageProcessing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX More ❯
Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including NaturalLanguageProcessing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX More ❯
passion for solving problems using state-of-the-art information retrieval, naturallanguageprocessing and generative AI. About the Role Lead Applied Scientists are experts in NLP/IR/ML/GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience, 7+ years of hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯
data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision, naturallanguageprocessing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In … although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model More ❯
