1 to 25 of 26 Google Gemini Jobs in England

developer platforms, tools, and services. Hands on experience with DevOps and engineering tools (GitLab, GitHub, Azure DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, Google Cloud Vertex AI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, Google Gemini, Hugging Face Transformers). Demonstrated success in developing and executing product strategies. More ❯

1s and Dev reviews (CodeSquared) What you'll need 🔹 4+ years of experience developing React and/or React Native applications. 🔹 3+ years of TypeScript experience. 🔹 Experience integrating OpenAI, Google Gemini, or other LLM APIs into web or mobile applications. 🔹 Hands-on experience with PostgreSQL or other relational databases , including designing and optimising schemas for scalable applications. 🔹 Familiarity More ❯

1s and Dev reviews (CodeSquared) What you'll need 🔹 4+ years of experience developing React and/or React Native applications. 🔹 3+ years of TypeScript experience. 🔹 Experience integrating OpenAI, Google Gemini, or other LLM APIs into web or mobile applications. 🔹 Hands-on experience with PostgreSQL or other relational databases , including designing and optimising schemas for scalable applications. 🔹 Familiarity More ❯

/WebSockets). Strong frontend skills (React/Next.js, TypeScript, Tailwind). Comfort with 3D/real-time visualization frameworks (WebGL,Three.js) Familiarity with AI/ML integrations (OpenAI, Gemini, RAG pipelines, MCPs, AI scalability). Experience with cloud/infra (Supabase, AWS, GCP, Vercel, Supabase). Ability to ship fast, learn, and iterate in a scrappy environment. Passion More ❯

/WebSockets). Strong frontend skills (React/Next.js, TypeScript, Tailwind). Comfort with 3D/real-time visualization frameworks (WebGL,Three.js) Familiarity with AI/ML integrations (OpenAI, Gemini, RAG pipelines, MCPs, AI scalability). Experience with cloud/infra (Supabase, AWS, GCP, Vercel, Supabase). Ability to ship fast, learn, and iterate in a scrappy environment. Passion More ❯

in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems More ❯

in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems 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 ❯

for internal systems and customer-facing applications Scaling the platform to support heavy, multi-tenant usage patterns and high-throughput AI workloads Applying foundation models (GPT-4.1, Claude 4, Gemini 1.5 and successors) to real-world, multi-modal data challenges Shipping to production daily in collaboration with Product and Design to solve real user problems Playing an active role More ❯

for internal systems and customer-facing applications Scaling the platform to support heavy, multi-tenant usage patterns and high-throughput AI workloads Applying foundation models (GPT-4.1, Claude 4, Gemini 1.5 and successors) to real-world, multi-modal data challenges Shipping to production daily in collaboration with Product and Design to solve real user problems Playing an active role More ❯

deploy scalable GenAI solutions that connect people and intelligent systems in new ways. ?? What Youll Do Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex … of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL More ❯

Responsibilities: Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation. Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company. Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation. Systematize knowledge and data flows More ❯

Responsibilities: Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation. Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company. Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation. Systematize knowledge and data flows More ❯

Responsibilities: Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation. Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company. Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation. Systematize knowledge and data flows More ❯

Responsibilities: Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation. Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company. Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation. Systematize knowledge and data flows More ❯

Responsibilities: Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation. Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company. Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation. Systematize knowledge and data flows More ❯

Reference number: JR250469 Location: Hybrid working - home and our office near London Bridge Working pattern: Full Time, 37.5 hours per week Contract Type: Permanent Number of roles: 1 Grade : IT5A Salary: £73,300 - £77,050 per annum We are looking More ❯

are Azoma, a fast-growing SaaS company revolutionising the AI space through Generative Engine Optimization (GEO), helping brands maximise visibility and performance across AI-powered search engines like ChatGPT, Gemini, and Perplexity. As AI reshapes how consumers discover products and services, we're at the forefront of this transformation. 🚀 We're experiencing significant inbound demand and rapid growth, working More ❯

are Azoma, a fast-growing SaaS company revolutionising the AI space through Generative Engine Optimization (GEO), helping brands maximise visibility and performance across AI-powered search engines like ChatGPT, Gemini, and Perplexity. As AI reshapes how consumers discover products and services, we're at the forefront of this transformation. 🚀 We're experiencing significant inbound demand and rapid growth, working More ❯

are Azoma, a fast-growing SaaS company revolutionising the AI space through Generative Engine Optimization (GEO), helping brands maximise visibility and performance across AI-powered search engines like ChatGPT, Gemini, and Perplexity. As AI reshapes how consumers discover products and services, we're at the forefront of this transformation. 🚀 We're experiencing significant inbound demand and rapid growth, working More ❯

drive efficiency and innovation. With our headquarters in London and quality branches in India, China, and Portugal, we collaborate with leading brands like BMW, Rolls-Royce, Brompton Bikes, and Google-even contributing to space exploration. Our platform: Geomiq offers a revolutionary platform that completely digitizes the quoting and ordering process for custom manufactured parts, ensuring the highest operational and … data opportunities Design and analyze A/B tests Create dashboards and datasets for sales, quality, and production teams Applied AI (Using Existing Models) Apply LLMs (e.g. GPT, Claude, Gemini) to workflows and internal tools Fine-tune or prompt models for tasks like: NCR root cause suggestions Supplier performance classification Delivery risk flagging Deploy lightweight APIs using FastAPI or More ❯

Light Card. You'll play a key role in improving how Blue Light Card shows up in search, from traditional search engine optimisation through to emerging generative platforms like Google's Gemini and ChatGPT. This is a hands-on role where you'll combine data, experimentation and creativity to help shape and deliver strategies that strengthen our visibility … generative platforms Design and run A/B tests, analyse funnel and cohort performance, and use data to identify opportunities for growth and improved conversion Optimise App Store and Google Play listings to increase visibility and installs, building your skills in ASO Monitor, report and share insights on organic performance using tools like GA4, Search Console, SEMrush and Looker … in-house or agency) with an understanding of technical SEO, including site architecture, page speed optimisation, schema markup and Core Web Vitals Strong knowledge of tools such as SEMrush, Google Search Console and GA4, plus experience using data visualisation platforms to track, analyse and attribute results Awareness of Generative Engine Optimisation (GEO) and how AI-driven search is shaping More ❯

Light Card. You'll play a key role in improving how Blue Light Card shows up in search, from traditional search engine optimisation through to emerging generative platforms like Google's Gemini and ChatGPT. This is a hands-on role where you'll combine data, experimentation and creativity to help shape and deliver strategies that strengthen our visibility … generative platforms Design and run A/B tests, analyse funnel and cohort performance, and use data to identify opportunities for growth and improved conversion Optimise App Store and Google Play listings to increase visibility and installs, building your skills in ASO Monitor, report and share insights on organic performance using tools like GA4, Search Console, SEMrush and Looker … in-house or agency) with an understanding of technical SEO, including site architecture, page speed optimisation, schema markup and Core Web Vitals Strong knowledge of tools such as SEMrush, Google Search Console and GA4, plus experience using data visualisation platforms to track, analyse and attribute results Awareness of Generative Engine Optimisation (GEO) and how AI-driven search is shaping More ❯

impact across internal systems, with a focus on: HubSpot CRM: finalising implementation, ensuring adoption, and integrating into business workflows. AI & Automation: embedding tools such as Microsoft Copilot, ChatGPT, and Gemini into daily processes to drive productivity. Internal Efficiency: streamlining workflows across Microsoft 365, JumpCloud, and other SaaS platforms. This is not an IT support role; the focus is on … that generate actionable insights. Ensure HubSpot becomes the central system of record for customer and operational data. AI & Automation Drive adoption of AI tools across the organisation (Copilot, ChatGPT, Gemini). Identify opportunities to embed AI into workflows, reporting, and customer support processes. Support the development of an internal AI strategy in collaboration with leadership. Internal Efficiency Audit existing … integrations. Change management experience: driving adoption, training, and process redesign. Hands-on mindset: able to deliver quickly and iteratively. Nice-to-Haves Experience implementing AI productivity tools (Copilot, ChatGPT, Gemini). SaaS workflow automation and system integrations. JumpCloud (or similar MDM tool) experience. Experience in scale-ups or fast-growing technology organisations. More ❯