procedures, extraction). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use GoogleGemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations 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 ❯
CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional environment.Previous experience More ❯
CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional environment.Previous experience More ❯
CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional environment.Previous experience More ❯
the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of THE most advanced technological advancements of our generation We're spearheading an unprecedented shift in how the world's asset class … product and developing new offerings to add even more value to our users. At Orbital, we leverage the most intelligent, bleeding edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AI agents, and agentic architecture, and who wants to work at the forefront More ❯
leadership in agile environments, strong communication, mentoring abilities. LLM and RAG expertise: Building RAG architectures, integrating vector and graph databases. Transformer and LLM architectures: Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging More ❯
how these systems function under the hood and contribute to their development, scalability, reliability, and continuous improvement. AI Engineering: Build, test, and optimise generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Develop model evaluation pipelines and optimise model behaviour. Prompt Engineering: Craft, iterate, and test prompt strategies and templates to improve accuracy, robustness, and responsiveness More ❯
DocumentDB) Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Merantix
Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++ More ❯
the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of THE most advanced technological advancements of our generation We're spearheading an unprecedented shift in how the world's asset class More ❯
the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of THE most advanced technological advancements of our generation We're spearheading an unprecedented shift in how the world's asset class 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 ❯
new technologies. Backend & Microservices Go - Primary language for our 40+ microservices gRPC & Protocol Buffers - Inter-service communication GraphQL - Client-facing API gateway MySQL, PostgreSQL, Redis - Data storage and caching Google Cloud Pub/Sub - Event-driven architecture Frontend & Mobile TypeScript - Primary frontend language React & Next.js - Web applications React Native & Expo - Mobile applications CSS, CSS-in-JS - Styling GraphQL Codegen … Type-safe API integration Artificial Intelligence OpenAI & Gemini - We use OpenAI models to ease our internal teams workflows, as well as automating some time intensive manual tasks. We're looking to bring AI to the forefront of our operational workflows. Infrastructure & DevOps Kubernetes - Container orchestration Docker - Containerisation Terraform - Infrastructure as Code AWS & Google Cloud - Multi-cloud setup Custom More ❯
architectures, LLMs). Programming experience with Python, PySpark, microservices, and data modeling. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling AI architectures aligned to enterprise standards. Proven experience in MLOps and AI lifecycle management, with scalable deployments across AWS, GCP, and Azure. More ❯
technology and want to advance your skills, we encourage you to apply. Technologies we use Languages: TypeScript, JavaScript, Java, Python, Node.js Front end: React, React Router, Redux Cloud Platform: Google, AWS AI/Machine Learning: Gemini, ML Engine Mobile platforms: Xcode, Android Studio, Appium Data Analysis: BigQuery, DataFlow, Spanner Compute: Container Engine, Cloud Functions, App Engine, Cloud Run More ❯
holiday, bank holidays, and birthdays off Are you a Senior AI Engineer looking to join one of the world's most innovative AI start-ups? This business, backed by Google Ventures, Balderton Capital, and TQ Ventures (who have founded over 82 Unicorns), aims to be the next big thing. The company is developing a full end-to-end AI … solving abstract problems and utilizing modern AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements Strong academic background in a 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 ❯
AWS Glue, Athena, Redshift, and S3. Use prompt engineering techniques (training provided) to support LLM-based automation and testing. Collaborate with platform teams to embed GenAI tools (e.g., Cursor, Gemini, Claude) into development workflows. Curate and manage datasets across structured and unstructured formats and diverse domains. Contribute to metadata enrichment, lineage, and discoverability using DBT, Airflow, and internal tooling. … e.g., LangChain, LlamaIndex, or open-source LLMs). Experience with data cataloguing tools (e.g., OpenMetadata, DataHub) and Data Vault methodology. Interest in intelligent developer environments (e.g., Cursor, GitHub Copilot, Gemini Code Assist). Commitment to creating reusable, high-quality data assets for both people and systems. Accessibility & Adjustments We are happy to make adjustments at any stage of the 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 ❯
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 ❯
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 ❯
