11 of 11 Google Gemini Jobs in the South East

scalable AI services that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and … Worked directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key … Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding More ❯

Responsibilities Design and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features including token handling, session management, data masking, and audit logging. Translate UX/UI designs into modular, reusable … CSS UI Libraries: MUI, Ant Design, Tailwind CSS, AG Grid, Highcharts or similar State Management: Redux Toolkit, React Query, Zustand or similar AI/Cloud Integration: GCP: Vertex AI Gemini API, Firebase Hosting, Google IAM, Secret Manager Azure: Azure OpenAI, Azure App Services, Azure AD authentication Cybersecurity: CSP headers, XSS/CSRF protection, OAuth2 flows, JWT encryption Front … and audit trails Familiarity with OWASP guidelines and secure SDLC practices DevOps: GitHub Actions, Docker, Terraform, security scans in CI/CD (e.g., Snyk, Dependabot or similar). Monitoring: Google Cloud Operations Suite, Azure Monitor More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector More ❯

from their headquarters in the City of London. Description Build secure, scalable front-end applications using React, Next.js, TypeScript Integrate UI layers with LLM APIs like Azure OpenAI and Gemini (Vertex AI) Translate UX/UI designs into responsive, reusable components Implement advanced security features: token handling, data masking, audit logging Integrate with REST/GraphQL APIs, WebSockets, and … and modern UI frameworks like MUI, Tailwind CSS, AG Grid, or similar Hands-on experience integrating LLM-powered features into front-end apps, using APIs like Azure OpenAI or Gemini (Vertex AI) Skilled in state management using tools like Redux Toolkit, React Query, or Zustand Deep understanding of front-end security best practices, including OAuth2, JWT encryption, CSP headers … Azure (App Services, AD authentication) Familiarity with CI/CD pipelines, GitHub Actions, Docker, and security tools like Snyk or Dependabot Knowledge of monitoring and observability tools such as Google Cloud Operations Suite and Azure Monitor Comfortable working in agile, cross-functional teams alongside AI engineers, cloud architects, and product managers Job Offer 6 month contract (initially) Competitive daily More ❯

delivery and surface risks - manage dependencies, highlight critical paths, and ensure on‐time execution and delivery. Leverage AI - research and prototype with AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc.; orchestrate agentic workflows with N8N, LangChain, etc. Engage clients and partners - run discovery calls and feedback loops to validate that solutions scale across use cases … design skills are a nice to have but not essential) Experience with AI solutions and the ability to research and prototype with AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc., and orchestrate agentic workflows with N8N, LangChain, etc. English fluency is required for both speaking and writing Excellent communication and stakeholder management skill s, and More ❯

delivery and surface risks - manage dependencies, highlight critical paths, and ensure on‐time execution and delivery. Leverage AI - research and prototype with AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc.; orchestrate agentic workflows with N8N, LangChain, etc. Engage clients and partners - run discovery calls and feedback loops to validate that solutions scale across use cases … design skills are a nice to have but not essential) Experience with AI solutions and the ability to research and prototype with AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc., and orchestrate agentic workflows with N8N, LangChain, etc. English fluency is required for both speaking and writing Excellent communication and stakeholder management skill s, and More ❯

internal team members and stakeholders through working sessions, steering and prioritisation sessions, and planning activities. Leverage AI to accelerate product development - utilise AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc., for research and discovery, user feedback and support ticket analysis, rapid prototyping, and technical design and validation. Leverage AI to improve product experiences where appropriate … internal and external communications, and product documentation and other artefacts Experience with AI solutions and the ability to research and prototype with AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc. English fluency is required for both speaking and writing Excellent communication and stakeholder management skills, and the ability to understand and concisely explain complex concepts More ❯

internal team members and stakeholders through working sessions, steering and prioritisation sessions, and planning activities. Leverage AI to accelerate product development - utilise AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc., for research and discovery, user feedback and support ticket analysis, rapid prototyping, and technical design and validation. Leverage AI to improve product experiences where appropriate … internal and external communications, and product documentation and other artefacts Experience with AI solutions and the ability to research and prototype with AI/LLM tools such as Claude, Gemini, ChatGPT, Lovable, Cursor, etc. English fluency is required for both speaking and writing Excellent communication and stakeholder management skills, and the ability to understand and concisely explain complex concepts More ❯

counts. Product Management: Label and store incoming products accurately. Requirements Communication: Good verbal and written English skills for effective team and courier interactions. Computer Literacy: Knowledge of AI Usage (Gemini, Claude, Perplexity), Touch-Typing, CRM Software, Logistics Software, Windows, Google Sheets, Docs. Physical Stamina: Ability to stand for up to 6 hours and lift up to 20kg. Attention More ❯