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The Data Scientist will develop machine learning, generative AI, and agentic AI solutions to solve complex business challenges at Manulife. The role involves analyzing large datasets, building AI-enabled models, and collaborating with cross-functional teams to drive strategic decision-making.
Data Science & AI Consultant Location: Bristol, London, or Manchester (Hybrid working) Security Clearance: Active DV clearance is essential Salary: £45,000-70,000 DOE As a Data Science & AI Consultant, you will…
Staff Software Engineer on Google's Gen AI Blackbelt Team, acting as a Generative AI subject matter expert working with Product Development and Technical Sales to bring Google Cloud AI products to customers and partners, including designing architectures and building AI-powered applications.
This role involves building and deploying LLM-based agentic solutions for healthcare insurance payment integrity. You will work across the full machine learning lifecycle, developing data pipelines and evaluation frameworks to create explainable AI tools for claims handling.
This role involves building and scaling a foundational platform for AI agents and workflows on Google Cloud using Python or C++. You will develop GenAI solutions, manage ML infrastructure, and collaborate on system design to support enterprise-grade AI applications.
ChiStats is seeking a Data Scientist to design, develop, and deploy Generative AI applications and LLM-based solutions for the WealthTech and financial services sector. The role involves the full machine learning lifecycle, from integrating LLM APIs to performing advanced text analysis.
The AI/ML Engineer will support the development and deployment of AI solutions, including generative AI and agentic workflows, to optimize manufacturing and supply chain operations. The role involves data preparation, model testing, and collaboration with stakeholders to improve operational efficiency.
Leads ML/data science projects for retail analytics, building predictive models, recommendation engines, and experimentation frameworks to optimize pricing, forecasting, and customer behavior for Primark’s global operations.
Senior AI Engineer designing and deploying production-grade AI agents and GenAI workflows on Azure for enterprise customers in a consulting context, taking solutions from prototype to production with full ownership of architecture and engineering quality.
Lead the design and delivery of production-grade chatbot and agentic AI systems at Snoonu (Qatar's super app), using AWS Lex, Bedrock, Claude, and agentic frameworks to automate customer support, order verification, and logistics workflows.
Design and scale enterprise AI agent systems using Python, ML, NLP, and generative AI (RAG pipelines) for regulated industries like financial services.
Build and enhance Cloud Applied AI solutions like Gemini Enterprise by writing and testing production code, leading design reviews, reviewing peer code, and debugging issues across the full-stack, leveraging LLMs and ML infrastructure.
This role involves developing Generative AI technologies and AI developer tools for Google Cloud customers, working with large language models and ML infrastructure. Engineers will collaborate with research and product teams to integrate AI solutions into enterprise-grade applications.
The Google Display Ads (GDA) Machine Learning (ML) team is at the forefront of revolutionizing digital advertising through cutting-edge machine learning. We develop the core intelligence that powers Google's…
Builds and deploys AI/ML solutions for enterprise data intelligence, focusing on GenAI, LLMs, and large-scale data processing to improve data quality, enrichment, and retrieval for Demandbase’s GTM platform.
Role overview We are looking for a Staff Data Scientist to lead the development of advanced machine-learning capabilities across large-scale enterprise datasets. This is a senior individual-contributor role combining…
Product Manager at Syndigo builds and scales AI-powered features for a commerce-data platform, using AI across the product lifecycle to improve data quality and customer outcomes.
Leads the design and architecture of LinkedIn’s AI Governance Platform, ensuring AI models are safe, compliant, and production-ready by building distributed systems for metadata management, validation, and automated policy enforcement across ML workflows.
Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
Builds and maintains the platform infrastructure for LLM evaluations, working full-stack (Python/Django backend + React/TypeScript frontend) to design, ship, and scale systems for AI model benchmarking.
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