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 ❯
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 ❯
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 ❯
Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools More ❯
Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools More ❯
Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools More ❯
london (city of london), south east england, united kingdom
Hyre AI
Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools More ❯
Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools 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 ❯
Google Cloud Platform (GCP) AI/ML services is highly desirable (e.g. Vertex AI, Cloud Functions, BigQuery). Deep understanding of machine learning algorithms and techniques, including deep learning, naturallanguageprocessing, computer vision, regression, classification, and clustering. Experience with evaluating and selecting different LLMs (Large Language Models). This should be coupled with experience in More ❯
technology investments drive measurable business outcomes and strategic differentiation. Reporting Relationships Reports to VP, Global Head of Services, Knowledge & Innovation Direct Reports None Location Remote - UKI Travel 10-20% Language English (additional languages are a plus) In this role you can expect to Strategic Technology & Applied Research Define and execute the applied technology roadmap supporting HR & Talent Advisory, including … oversee the build and deployment of an AI agent to enhance client delivery, internal productivity, and advisory effectiveness. Identify and assess emerging technologies and tools in AI, machine learning, naturallanguageprocessing, and data visualization to inform strategic investment decisions. Partner with cross functional teams to integrate data science solutions … into existing and new HR advisory offerings. Data Science & Advanced Analytics Develop frameworks for data acquisition, governance, and integration across consulting practices. Leverage data science methods, including predictive analytics, NLP, and generative AI, to deliver insights that support client outcomes and business decisions. Ensure ethical and responsible AI practices through transparent model design and data integrity oversight. Innovation, Research & Collaboration More ❯
and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯
City of London, Greater London, UK Hybrid / WFH Options
Deloitte
and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯
and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯
