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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?

Location - Oval, South London (Onsite) ** Type -** Full-Time Start Day - Immediate ** Salary -** £30,000 - £35,000 (top end reserved for outstanding candidates) ** Headquarters -** New York, NY, USA ** About Quant.ai** Quant.ai is building the world’s most advanced Agentic AI – transforming customer service, outbound engagement, and internal decision-making for global enterprises. Our technology helps clients reduce inbound volume, improve response times, and deliver futuristic digital experiences powered by human-like AI. We’re now opening a new office in Oval, South London, and we're looking for our first wave of AI-enhanced customer service reps to help us scale. The existing team in London is small but mighty – 5 people aged 24-27 – and we’re building a collaborative, fast-moving culture where you’ll grow quickly. Our global team (75+) is led by Chetan Dube, former founder & CEO of Amelia ** The Role** As a Customer Service Representative working in tandem with our Agentic AI, you’ll step in when the AI is unable to fully resolve a customer query on behalf of one of our enterprise clients. You’ll not only provide a human touch to resolve the customer’s issue – but also investigate what went wrong, working alongside engineers and product teams to improve the AI’s performance. This is an ideal role for someone in customer support looking to break into the world of AI and tech. No real prior experience is required – we’re just looking for someone with the right attitude. Full training provided. ** What You’ll Do** - Take over live chats, calls, or tickets escalated by our Agentic AI for one of our clients (e.g., in banking, energy, insurance, or telco) - Calm and resolve customer frustrations when the AI couldn’t resolve their problem - Troubleshoot why the AI failed (e.g., gaps in logic, language understanding, integrations) - Conduct light QA and error analysis across transcripts and system logs - Collaborate with product managers and engineers to improve AI flows - Participate in project management cycles for continuous iteration and model training - Learn the ins and outs of agentic systems, prompt design, and conversational logic - Help shape a brand new category of support – Human-AI collaboration ** What We're Looking For** 1. 1+ years experience in customer service (live chat, phone, or email-based) is great – but not required 2. Excellent written and verbal communication 3. Ability to empathize with frustrated customers and stay calm under pressure 4. Strong problem-solving mindset and curiosity – especially around how things work 5. Comfortable working with technical teams (no coding required – training provided) 6. Highly organized, proactive, and detail-oriented 7. Eagerness to learn AI technologies, tools, and workflows ** Nice to Have (But Not Required)** ** ** ** Why This Role Matters** This is not a traditional customer service role. You’ll be the human failsafe for some of the world’s most advanced enterprise AI systems – and the bridge between customers and technology. Your feedback will shape how millions of future interactions are handled.

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

Goldensword LTD is offering a valuable, unpaid 6-month part-time internship opportunity designed to provide hands-on studio experience in architecture, structural and interior design, and civil engineering. Successful candidates may be offered a qualified paid role after completion. Who Can Apply: Architecture Interior Architecture Structural Engineering Civil Engineering graduates Requirements: Must be currently living in London Must hold a UK-based Bachelor's or Master's degree University students are also welcome Fluent English (written and spoken) Excellent AutoCAD 2D skills Working knowledge of at least one 3D program (Revit, Rhino, ArchiCAD, SketchUp, or 3Ds Max) No prior work experience required Must have the right to work in the UK – we do not sponsor visas Overseas applications will not be considered Internship Details: 2 weekdays per week, 9:00 AM – 5:00 PM Office location: 346 Queensbridge Road, London E8 3AR Immediate start preferred Interns will be provided with: Company computer and software access Snacks and refreshments Performance-based bonus system Compensation: This is a training-based internship aimed at helping early-career professionals build real-world experience. While the position is not salaried, it offers meaningful exposure to the industry and the potential for future employment with us. Please do not call the office – our HR department does not provide recruitment support for internship roles.

Job Vacancy: Site Setting out Engineer Location: London and Greater London Region Salary: £ 38,000 Employment Type: Full-Time, Permanent. About Us: Evok Engineering is a civil engineering and construction firm committed to delivering engineering consultation across all our projects in precision, quality, and safety manner. We pride ourselves on innovation, teamwork, and professional development. As we expand our team, we’re seeking a highly skilled and detail oriented Setting Out Engineer to join us on civil & infrastructure, commercial, and residential projects. Role Overview: As a Setting Out Engineer, you will be responsible for the accurate setting out of construction works in line with architectural, structural, and civil engineering drawings. Your expertise will ensure that all site elements are positioned correctly to design specifications, supporting smooth project delivery and compliance with safety standards. You will work closely with site managers, surveyors, and the design team, playing a pivotal role in translating design intent into physical site measurements. Key Responsibilities: a) Site Setting Out: Perform detailed setting out of construction elements such as foundations, drainage, utilities, highways, and building components using surveying instruments (Total Station, GPS, Levels). b) Drawing Interpretation: Analyse architectural, structural, and civil drawings, specifications, and engineering documents to prepare setting out strategies and mark constructable elements. c) Coordination: Liaise with project managers, contractors, and other engineering disciplines to coordinate activities, resolve discrepancies, and ensure accurate site positioning. d) Monitoring & Reporting: Conduct regular site checks to verify and monitor the accuracy of set-out points and provide progress updates through clear, comprehensive reports. e) Health & Safety Compliance: Adhere strictly to all health and safety regulations, promoting a safe working environment and identifying potential risks. f) Record Keeping: Maintain accurate records of measurements, as-built drawings, and site logs for audit and quality assurance purposes. g) Problem Solving: Identify and rectify any setting out issues or inconsistencies promptly to avoid delays. Required Skills & Qualifications: a) Bachelor’s Degree, HND, or equivalent in Civil Engineering, Surveying, or related field. b) Minimum of 2 years’ experience working as a Setting Out Engineer in civil engineering or construction projects. c) Proficient use of surveying equipment such as Total Station, GPS, laser levels, and digital measuring tools. d) Familiarity with CAD software (AutoCAD, Civil 3D) and other digital design tools. e) Strong knowledge of construction methods, site processes, and engineering principles. f) Excellent attention to detail with strong numerical and analytical skills. g) Ability to interpret complex drawings and technical documents accurately. h) Good communication and interpersonal skills to collaborate effectively with multidisciplinary teams. i) Valid CSCS card and any health and safety certification. j) Full UK Driving Licence preferred. Why Work with Us? a) Competitive salary with performance-based bonuses. b) Opportunities for professional growth and industry-recognized training. c) Supportive, inclusive company culture focused on teamwork and innovation. d) Access to the latest surveying technologies and tools. e) Work on diverse, high-profile projects with leading industry partners. f) Commitment to work-life balance and employee wellbeing. How to Apply: Please submit your CV and a detailed cover letter outlining your experience and suitability for the role with the subject line “Setting Out Engineer Application.”