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 ❯
to 6 years of experience in product management or related technical positions, with significant involvement in AI/ML. Experience with AI platforms such as ChatGPT-4, LLaMA 4, Gemini, and GenAI frameworks. A thorough understanding of software engineering principles and modern cloud environments. Proven ability to communicate effectively between technical and non-technical teams. Strong organizational skills, particularly More ❯
solution architecture for complex AI systems. Strong experience building and consuming API services in Python, using FastAPI or similar. Strong experience with LLM frameworks such as langchain, Pydantic-AI, Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agentic AI development. Strong practical knowledge of prompt … serverless architectures and microservices development. Deep understanding of evaluation strategies and observability tools for assessing AI performance, reliability, robustness, cost, and overall effectiveness. Expertise with SOTA LLMs such as Gemini, GPT/o-series, Claude, Deepseek, Llama 4, etc. Experience with Google's Gemini/Gemma LLMs are preferred. Desirable: Experience prototyping user-facing interfaces using Python More ❯
in AI/ML libraries such as LangChain, PydanticAI, NumPy Expertise in Large Language Models (LLMs) including fine-tuning, prompt engineering, and working daily with models like GPT, Claude, Gemini Hands-on experience with vector databases (e.g., OpenSearch, FAISS) for efficient similarity search and semantic search & retrieval of text embeddings Skilled in implementing conversational AI systems leveraging APIs like … docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Annual Salary Expectations Select Have you worked with Large Language Models (e.g., GPT, Claude, Gemini)? Can you briefly describe your hands-on experience with Python and AI/ML libraries such as LangChain, NumPy, or PydanticAI? We're particularly interested in how you've More ❯
orchestration. Copywriting skills with an ability to quickly produce multiple on-brand variants and navigate feedback from other teams (e.g., Legal). Experience with AI tools (Jasper, Chat-GPT, Gemini, etc) and AI personalised testing Data-literate: you know how to design a test, collaborate with analysts to interpret results, and apply those insights to future iterations. Experience providing More ❯
orchestration. Copywriting skills with an ability to quickly produce multiple on-brand variants and navigate feedback from other teams (e.g., Legal). Experience with AI tools (Jasper, Chat-GPT, Gemini, etc) and AI personalised testing Data-literate: you know how to design a test, collaborate with analysts to interpret results, and apply those insights to future iterations. Experience providing More ❯
ML (DAML) team is a high-impact group within Core ML. Our mission is to accelerate the adoption of state-of-the-art AI across Google. We partner with Google Research and DeepMind to translate their breakthroughs (like Gemini) into standardized, efficient solutions. By addressing issues from 0-to-1 prototyping to 1-to-10 scaling, we allow … Google's product areas to innovations with massive quality, performance, and productivity gains. As a Staff Research Engineer, you will lead a new applied ML team in London, bridging the gap between cutting-edge research from Google Research and DeepMind and its real-world application. You will act as the team's technical anchor, guiding a small group … novel problems and prototyping solutions to publishing results and partnering with product teams to ship features. Shape and execute the team's technical roadmap by collaborating with stakeholders in Google Research, DeepMind, and product areas to identify and pursue high-impact opportunities. Utilize and advance cutting-edge techniques on Google's infrastructure. Your work will involve Python, JAX More ❯
of the Analyst role -Research and analysis: finding and drawing insights from data and evidence to inform our advice -Using research tools and platforms - including Factiva, Meltwater, Claude and Gemini - to conduct high quality desk research, media analysis and insight generation -Following a wide range of relevant industry and client news across multiple channels to understand the issues our More ❯
development - from ideation to execution - and you will be integral to every step of that journey. You will work extensively with Generative AI technologies, such as GPT-4 and Gemini, integrating their capabilities into our systems through advanced prompt engineering and API integration. As the GenAI Senior Full-Stack Software Engineer, you'll demonstrate a deep understanding of user … environments Demonstrated experience with distributed systems, event-driven architectures, container-based microservices, distributed logging, SQL and NoSQL databases, and DevSecOps practices Preferred Experience Previous experience working with OpenAI, Anthropic, Google AI, or similar LLM providers Experience integrating AI/ML models or APIs into production applications Familiarity with Large Language Model APIs, prompt engineering, and AI workflow design Understanding More ❯
solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules … s analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. In this role, you will play a key role in accelerating Gemini from Research to Production. Partner with product managers, engineers, and leadership to define roadmaps, prioritize features, and ensure reliable delivery of high velocity launches at scale. Thrive in a … fast-paced, innovative environment where your technical expertise and program management skills will directly impact Google's AI strategy. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud More ❯
to deliver cutting-edge solutions across the business. Key Responsibilities LLM-Oriented AI & Automation Systems • Build, fine-tune, and integrate LLM pipelines using platforms such as Vertex AI, OpenAI, Google Studio for data transformation, summarization, and retrieval-based tasks. • Develop prompt-driven automation systems for workflows including metadata extraction, tagging, reporting, and anomaly detection. • Design and deploy RAG (Retrieval … and scalable use case frameworks. Preferred Qualifications Must-Have • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field. • Strong experience with GCP ( Vertex AI, Google Studio and other GCP tools). • Demonstrated success integrating LLM APIs (OpenAI, Vertex AI, Perplexity, Gemini) into production systems. • Expertise with LangChain, CrewAI , OpenAI platform or similar frameworks. … in building and deploying JS/n8n/Python-based AI workflows , agents, and APIs. • Solid SQL knowledge for structured data operations and AI-data interplay. Nice to Have • Google Cloud certifications in Data or Machine Learning. • Experience with vector databases , embedding generation , and RAG infrastructure. • Exposure to autonomous agent memory systems , reward tuning, or action planning loops. • Familiarity 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. Check out our website! Our platform: Geomiq offers a revolutionary platform that completely digitizes the quoting and ordering process for custom manufactured parts, ensuring … 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 ❯
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. Check out our website! Our platform: Geomiq offers a revolutionary platform that completely digitizes the quoting and ordering process for custom manufactured parts, ensuring … 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 ❯
About the Company Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries. Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We … build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom. In London, we have a remote work policy. The Department: Nifty Gateway Nifty Gateway Studio … push the boundaries of human experiences through the development ofextraordinary creative experiences built on-chain. Nifty Gateway was founded by Duncan and GriffinCock Foster in 2018, and acquired by Gemini in 2019, with the belief that crypto networks and theblockchain have the power to fundamentally change the art world by creating greater choice,independence, and opportunity for artists, creators More ❯
33m Series A including the AI Ventures. We are backed by some of the best minds in AI, from Ashish Vaswani (Invented Transformers, the basis of GPT) Oriol Vinyals (Google Deepmind and Gemini co-lead), Christian Szegedy ( X.ai ) and AI leadership at Amazon, X, Isomorphic, and Google. V7 is used to power AI's rollout at Fortune … seconds here . Or watch the recent keynote of V7 Go's launch . Software Engineers at V7 ensure that complex operations involving AI - think applying foundation models like Gemini Pro to enable complex analyses across large financial documents - are performed reliably and efficiently at scale. The Backend Engineer role holds significant influence, shaping the trajectory of the company More ❯
knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate. We're growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini). The Product you'll be working on V7 Go provides legal, finance, insurance, and accounting teams with a toolkit for deploying and building custom no-code AI agents. … modal data and delivering verifiable outputs with transparent AI logic to ensure accuracy and compliance. V7 Go supports all of the latest models like GPT-4, Claude 3, and Gemini 1.5 for the best accuracy and performance. Watch the V7 Go keynote to see what we're building. The team you'll be joining and impact you'll have More ❯
build tools that leverage AI to help our customers transform product feedback into insights they can use to improve their own software experiences. Built in Go on top of Google Cloud Platform, Pendo's back end architecture processes hundreds of thousands of events per second, integrating with various third party tools and services including LLMs to create insights from … team who love to build systems that scale in a collaborative environment between engineering, product, and design. Role Responsibilities Lead the design and development of AI agent features (using Gemini/GCP infrastructure). Take technical ownership of epics and cross-functional initiatives, setting the direction for others to follow. Write clean, maintainable, scalable code with strong emphasis on … learning fundamentals. Effective mentor and communicator who supports the growth of others. Comfortable providing technical guidance and helping resolve ambiguity on large-scale work. Preferred Qualifications Experience working with Gemini models and GCP-native AI tooling. Familiarity with real-time data pipelines or streaming architectures. Prior work on context-aware or intelligent product experiences. Experience with design systems or More ❯
build tools that leverage AI to help our customers transform product feedback into insights they can use to improve their own software experiences. Built in Go on top of Google Cloud Platform, Pendo's back end architecture processes hundreds of thousands of events per second, integrating with various third party tools and services including LLMs to create insights from … team who love to build systems that scale in a collaborative environment between engineering, product, and design. Role Responsibilities Lead the design and development of AI agent features (using Gemini/GCP infrastructure). Take technical ownership of epics and cross-functional initiatives, setting the direction for others to follow. Write clean, maintainable, scalable code with strong emphasis on … learning fundamentals. Effective mentor and communicator who supports the growth of others. Comfortable providing technical guidance and helping resolve ambiguity on large-scale work. Preferred Qualifications Experience working with Gemini models and GCP-native AI tooling. Familiarity with real-time data pipelines or streaming architectures. Prior work on context-aware or intelligent product experiences. Experience with design systems or More ❯
Machine Learning Performance Engineer, London London Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched More ❯
with Commusoft's brand guidelines and messaging. We believe our content should be genuine and people-led, but we recognise the need to adapt and use AI tools, like Gemini and Jasper, to supplement and support content creation. AI is a tool, not a crutch. Additionally, you'll be supporting short-form content creation for demand generation campaigns (ad … B2B content marketing, social media management, or copywriting is a must. Experience with HubSpot and WordPress (or relevant CMS). Proficient in SEMrush for keyword monitoring and GA4 and Google Search Console for analysing content performance. Strong understanding of social media platforms (Facebook, LinkedIn, Instagram) and how to tailor content to different audiences. Skilled in both long and short More ❯
