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Develops and maintains large-scale backend systems for a misinformation-mitigation platform, focusing on GCP, PostgreSQL, and Python while advising researchers and ensuring production reliability.
Builds autonomous AI agents and multi-agent systems using Python, LangGraph, and LangChain to automate software development workflows and improve code quality.
Senior DevOps engineer building and hardening AWS/Kubernetes platforms for AI-driven defence systems, automating secure CI/CD pipelines and ensuring high availability for mission-critical workloads.
Lead the design and deployment of enterprise-grade AI systems, including LLMs and RAG pipelines, using Python and cloud-agnostic MLOps across AWS, Azure, and GCP.
AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior…
Senior Data Scientist builds and deploys GenAI/LLMs and advanced analytics solutions for business impact, focusing on production-grade RAG, evaluation, and governance in a fintech context.
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.
Lead the design and production deployment of scalable AI systems, including GenAI, agentic AI, and LLMOps, while guiding engineering teams and setting technical standards.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Build and deploy production-grade AI agents for a media company, designing agentic workflows, RAG systems, and LLM-powered tools to automate editorial, subscriptions, and advertising tasks.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including Slurm clusters, OpenShift/Kubernetes, and NVIDIA stacks, while collaborating with data science and MLOps teams.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including distributed training, RAG pipelines, and NVIDIA stack tuning, while collaborating with MLOps and data science teams.
Lead a team to build AI-driven marketing mix models and agentic systems that optimize ad spend across channels, using causal inference and generative AI to quantify ROI for Pfizer’s media strategy.
Lead the design and deployment of agentic AI systems and enterprise copilots using AWS Bedrock, SageMaker, and Microsoft Copilot Studio, while mentoring a team of data scientists and AI engineers.
Lead the design of secure AI platforms, embedding privacy, compliance, and risk controls into ML pipelines and model deployments while aligning with regulations like PDPA.
Senior DevOps Engineer building and scaling cloud-native infrastructure, Kubernetes clusters, and AI serving platforms using IaC, GitOps, and observability tools.
Lead the architecture of AI and data platforms, defining scalable GenAI/Agentic AI systems and Lakehouse data pipelines on Azure while enforcing governance and mentoring teams.
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