Join a forward-thinking team building the next generation of Generative AI applications using Google Gemini. This 6-month contract offers the chance to architect and deploy LLMs at scale on GCP, driving performance, efficiency, and innovation. You'll play a hands-on role in model development, optimisation, and integration - helping to deliver robust, production-ready AI solutions across … enterprise-level platforms. Job Title: GenAI Engineer (GoogleGemini Specialist) Contract Details: 6-Month Contract | Hybrid (London) | Rate Dependent on Experience | Inside IR-35 Job Summary: We're seeking an experienced GenAI Engineer with expertise in GoogleGemini to join our client on a 6-month project at the forefront of Generative AI. This role offers … the opportunity to design, build, and deploy cutting-edge AI models within a Google Cloud Platform (GCP) environment, contributing directly to the development of innovative, production-grade AI solutions. Key Responsibilities: Design, develop, and implement Generative AI models using GoogleGemini to address specific business challenges. Fine-tune and optimise models for accuracy, scalability, and performance. Integrate 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, GoogleGemini, 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, GoogleGemini, 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 ❯
london (city of london), south east england, united kingdom
Humanoid
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Kaplan
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 ❯
London, England, United Kingdom Hybrid / WFH Options
Azoma
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 ❯
london, south east england, united kingdom Hybrid / WFH Options
Azoma
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Altum Consulting
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 ❯
