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Are you looking to kick-start a new career in Ai? We are recruiting for companies who are looking to employ our Ai Engineer Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: How It Works Step 1: Introduction to AI Start with beginner-friendly, bite-sized courses designed to build your foundational knowledge in AI. You’ll learn through interactive videos, quizzes, and tutorials covering key AI concepts and applications. Step 2: Full‑Stack AI Training Progress into in-depth training covering: Python programming for AI Data handling and processing Machine learning fundamentals Version control with Git & GitHub You’ll work on mini-projects throughout this stage, applying your new skills to practical tasks as you learn. Step 3: Certification Prepare for and pass the Microsoft AI-900: Azure AI Fundamentals exam — a globally recognised certification that proves your understanding of AI workloads and responsible AI principles, boosting your credentials with employers. Step 4: Real‑World Projects Complete two real-world AI projects assigned by your tutor to demonstrate your practical capabilities and build a professional portfolio. Once both projects are approved, you’ll be fully portfolio-ready and prepared to enter the industry. Your Career Path Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Ai role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Interested in a future-proof career in AI? Apply now, and one of our friendly advisors will reach out to guide you through the process.

About Luupli Luupli is a social media app that has equity, diversity, and equality at its heart. We believe that social media can be a force for good, and we are committed to creating a platform that maximizes the value that creators and businesses can gain from it, while making a positive impact on society and the planet. Our app is currently in Beta Test, and we are excited about the possibilities it presents. Our team is made up of passionate and dedicated individuals who are committed to making Luupli a success. Job Description As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. Your work will span Retrieval-Augmented Generation (RAG), multi-agent LLM orchestration, auto-captioning, generative media, and content moderation. You’ll use frameworks like LangGraph, LangChain, and Google’s Agent Development Kit to build persistent, scalable AI services on Google Cloud Platform (GCP). This is a full-stack AI role that spans intelligent backend APIs, LLM agent orchestration, and integration with product-facing features. Responsibilities Build and deploy multi-agent AI workflows using LangGraph, LangChain, or Google’s Agent Development Kit. Implement RAG pipelines using embeddings, semantic chunking, and vector databases (e.g., FAISS, Pinecone, Weaviate). Integrate hosted and open-source LLMs (OpenAI, Gemini, Claude, Ollama, Mistral) into intelligent systems. Build REST APIs with FastAPI and internal tools with Streamlit to expose AI functionality. Deploy production-grade services on GCP using Vertex AI, Cloud Run, Cloud Functions, IAM, and Pub/Sub. Embed AI into platform features such as auto-captioning, LuupForge (generative studio), feed personalization, and real-time moderation. Maintain modular, testable, observable, and secure code across the AI system lifecycle. Requirements 3+ years experience in applied AI/ML engineering (production-level deployments, not research-only). Strong Python development skills with full-stack AI engineering experience: FastAPI, Streamlit LangGraph, LangChain, or similar PyTorch, Transformers FAISS, Weaviate, or Pinecone Solid experience working with hosted APIs (OpenAI, Gemini) and self-hosted models (Mistral, Ollama, LLaMA). Deep understanding of LLM orchestration, agent tool-use, memory sharing, and prompt engineering. Hands-on experience with Google Cloud Platform (GCP); especially Vertex AI, Cloud Functions, Cloud Run, and Pub/Sub. Familiarity with best practices in cloud-based software development: containerization, CI/CD, testing, monitoring. Nice to Have Experience with Google’s Agent Development Kit or similar agent ecosystems. Familiarity with multimodal AI (e.g., handling text, image, audio, or video content). Prior experience developing creator platforms, content recommendation engines, or social media analytics. Understanding of ethical AI principles, data privacy, and bias mitigation. Experience with observability tools (e.g., Sentry, OpenTelemetry, Datadog). Data engineering experience, such as: Building ETL/ELT pipelines Working with event-based ingestion and structured logs (e.g., user sessions, reactions, feeds) Using tools like BigQuery, Airflow, or dbt Designing or consuming feature stores for AI/ML applications Compensation This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success. As part of your cover letter, please respond to the following questions: This position is structured on an equity-only basis. Thus, it is presently unpaid until we secure seed funding. Given this structure, are you comfortable continuing with your application for this role? Have you built or contributed to agent-based AI systems using frameworks like LangGraph, LangChain, or Google’s Agent Development Kit? Do you have experience with Retrieval-Augmented Generation (RAG) systems and vector databases (e.g., FAISS, Pinecone, Weaviate)? Have you deployed AI systems on Google Cloud Platform? If not, which cloud platforms have you used and how? Have you integrated LLMs (e.g., OpenAI, Gemini, Claude) into autonomous or multi-step workflows? Can you explain how agents collaborate and maintain memory across tasked in multi-agent systems? What is your experience with prompt engineering, tool invocation, and orchestrated LLM workflows? Do you have any public code repositories (e.g., GitHub), demo URLs, or project write-ups showcasing your work?

We’re looking for an experienced SEO Specialist to join our team and manage SEO projects for multiple clients. You’ll be responsible for delivering measurable SEO improvements for small to medium businesses. We want someone who knows their stuff and can show a portfolio of at least 5 businesses they’ve worked with. What You’ll Do: Handle SEO tasks for our clients’ websites (on-page, off-page, and technical SEO) Perform keyword research and competitor analysis tailored to each client Optimize content, meta data, and site structure for SEO Conduct audits and recommend fixes or improvements Build quality backlinks and monitor link health Track SEO performance and provide reports Stay current on SEO trends and search engine updates What We Expect: Proven SEO experience with a portfolio showcasing work for at least 5 businesses Solid knowledge of SEO tools (Google Analytics, Search Console, SEMrush, Ahrefs, etc.) Ability to deliver results independently while following client goals and deadlines Strong communication skills and professionalism Compensation: Starting pay with room for growth based on your performance and results Flexible hours – work remotely or on your own schedule

Software Engineer/DevOps Engineer City of London £Competitive plus strong bonus and benefits Azure, Terraform, Data Tooling DevOps Engineer is sought to join a highly prestigious financial services organisation. This is a key role that will see you taking responsibility for developing Microsoft Fabric related DevOps processes, ensuring the correct balance between environmental control and ensuring Data Engineering teams have the flexibility to work efficiently. You will create bespoke modules in Terraform and actions in GitHub (or Azure DevOps) to support CI/CD workflows. You will also liaise with teams across the business to ensure the platform meets all security and performance requirements. Key Responsibilities Develop standards and strategies to manage the deployment of assets into the Microsoft Fabric ecosystem. Where required create custom actions in GitHub/Azure DevOps that use the Microsoft Fabric APIs. Where required create custom terraform modules to ensure Microsoft Fabric configuration is held as infrastructure as code. Work with Data Engineers to create the development environments engineers will use to develop and deploy products in Microsoft Fabric. Work with data owners around the business to ensure source data systems can be securely accessed. Ensure security best practices are followed. BCP/DR strategy. Work with other members of the central platform team to monitor the Microsoft Fabric feature roadmap and integrate new features into the established eco-system. Work with other members of the central platform team to define an efficient project process to deliver new data products. Key Technical Skills and Experience Terraform Modules Infrastructure as code GitHub/Azure DevOps Azure Data Factory Azure Synapse CI/CD including Databases Databricks GitHub Actions/Azure DevOps Tasks Monitoring in Azure Release Management Experience Microsoft Fabric (not essential) Curious to learn new sectors like AI, ML (Not essential) Minimum 6 years working in a cloud environment managing data engineering products.

About NanoX Tech Solutions NanoX is a fast-growing technology consultancy (est. 2025) that builds custom software, AI-driven data products and cloud solutions for startups and SMEs. We’re a micro-company headquartered in the UK with a globally distributed, autonomy-first culture. Why we’re hiring Our inbound interest is strong, but we need a hunter who can turn leads into signed statements of work and long-term accounts. You’ll be among our first ten hires in the UK, laying the foundation for NanoX’s revenue engine. Role overview Own end-to-end business development: identify prospects, craft solution narratives, close deals and create repeatable processes that scale across the UK & EMEA. Key responsibilities Pipeline generation – Map target verticals (fintech, e-commerce, healthtech, climate tech) and run multi-channel outbound. Solution selling – Lead discovery sessions, translate business problems into NanoX solutions, and draft proposals/SOWs. Partnerships – Build channel and referral networks (e.g., AWS, Azure, niche SaaS). Market intelligence – Track competitor moves and pricing trends to refine our GTM narrative. Process & reporting – Stand up a lightweight CRM cadence, forecast revenue and report KPIs to leadership. Compensation & benefitsComponentDetailsCommission (core pay)4.5 % of the gross revenue on every successful deal you close. Paid monthly when the customer pays us.Performance incentivesAd-hoc cash or e-voucher bonuses for surpassing quarterly targets.Company goodiesQuarterly swag drops (devices, branded merch, etc.).Paid leave28 days of holiday per year, plus UK public holidays.Sponsored retreatOne fully funded company holiday each year (location voted by the team).ProgressionClear path to Head of Growth once you demonstrate sustained quota over-achievement and build the first sales pod.Important: This is a commission-only position with no fixed base salary. It’s designed for high-energy closers who prefer upside over low-risk guarantees.Must-have experience & skills 3-6 yrs B2B sales/biz-dev in software consulting, SaaS or IT services. Consistent record of closing £250k + contracts or hitting £500k+ annual quota (proof required). Comfortable explaining technical concepts (cloud, APIs, AI/ML) to non-technical buyers. Consultative selling, proposal writing and negotiation prowess. Startup mindset: self-directed, resilient, thrives on ambiguity. Excellent spoken/written English and UK work authorisation. Nice-to-have Existing network in our focus verticals. Familiarity with early-stage GTM tools (HubSpot, Apollo, Navattic, etc.). Additional European language. Success metrics (first 12 months) Closed-won revenue: ≥ £750k. Opportunity→deal conversion: ≥ 25 %. Partnerships signed: ≥ 3 strategic alliances. Forecast accuracy: ± 10 % on a rolling 90-day view. Hiring process Intro call (15 min) with People Ops Deep-dive (60 min) with Managing Director (deal walk-through + Q&A) Practical exercise: 24-h async GTM mini-plan for a sample prospect Culture interview with cross-functional panel Offer Think a commission-only model with uncapped upside is your natural habitat? Job Types: Full-time, Part-time Expected hours: No more than 50 per week Additional pay: Commission pay Performance bonus Quarterly bonus Yearly bonus Benefits: Work from home Schedule: Monday to Friday Overtime Weekend availability Work Location: Remote