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Are you looking to kick-start a new career in IT? We are recruiting for companies who are looking to employ our Network 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 (£24K-£45K) 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. Step 1 - Online Training The first step is completing a selection of professional, accredited and industry recognised IT Support courses by CompTIA, Microsoft and Cisco. Step 2 - Practical Training You will gain the practical experience by using our cutting edge Livelabs. Gaining hands-on experience is essential in today’s IT industry for both certifications and keeping up to date with new technologies. Step 3 - Official exams You will then go on to sit the Cisco CCNA exam to give you the official certifications which will be recognised worldwide. Step 4 - IT Technician placement (£24-£45K) You will be placed into your first role as an IT Technician, with a starting salary of anywhere between £24K-£45K. You will need to gain two years experience in this role before you can progress into a Network engineer role. Network Engineer Role You will now be ready to move into your Network Engineer role. We have partnered with a number of large IT companies who have a massive shortage of qualified Network Engineers. At a one off cost of £999, or a deposit of £149 followed by 10 interest free monthly instalments of £104, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Apply now and one of our friendly advisors will be in touch.

we are building AlgoRisk AI – a next-generation platform that uses AI to transform how banks develop and govern financial models. We’re currently working on a number of projects across using GPT-4, React, Supabase, and modern LLM tools. This is a confidential, real-world project (not open-source). I’m inviting a small group of motivated contributors to work with me as unpaid interns or collaborators. What You’ll Gain: • Official Certificate of Contribution (AlgoRisk AI) • Mentorship from a fintech founder • Hands-on experience with real-world AI tooling • Strong reference or letter for future roles • Chance for future paid work post-MVP ⸻ Key Skills Needed (any 2–3 of these is enough): • React / Next.js (Frontend) • Supabase (Database + Auth) • OpenAI API (GPT-4/4o chat completion) • JavaScript or TypeScript • CodeMirror or Monaco Editor • Python / FastAPI (nice to have) • GitHub + version control • Curiosity to learn and build fast ⸻ Commitment: • Remote, flexible hours (20-30 hrs/week) • 3–5 weeks (initial phase) • Start immediately ⸻ How to Apply: DM us with: • Your name and country • LinkedIn or GitHub profile • A short sentence on why you’re interested Let’s build something impactful together.

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.

Role Overview A hands‑on experienced chef who can translate creative dishes into consistent, scalable execution and help steer menu evolution in line with our growth strategy. You’ll be the engine behind day‑to‑day service, quality control, and kitchen discipline. You will work closely with management, helping to ensure that every plate that leaves the pass meets our specifications, cost, and food safety standards while pushing the menu forward. Key Responsibilities Recipe & Spec Control: - Standardise recipes, plating guides, and portion sizes; maintain the master spec file. Service Leadership: - Supervise other chefs on shifts, helping them to manage timing, flow, and clear communication between stations and the front of house. Prep & Hygiene Systems: - Supervise daily prep lists, enforce mise en place standards, and manage cleaning schedules. - Lead shift briefs and on‑the‑fly training to keep standards sharp. Food‑Safety & Compliance: - Conduct spot checks on storage temperatures, date labelling, and FIFO stock rotation. - Maintain accurate HACCP logs; ensure the team’s food‑safety certifications are current. - Act as kitchen lead during Environmental Health Officer inspections. Inventory & Purchasing: - Make daily orders and monitor stock levels Menu Development & Strategic Growth: - Work with the managers to expand and fine‑tune the menu so it aligns with our commercial targets and brand direction. Innovation & Continuous Improvement: - Trial new techniques, ingredients, and equipment; integrate successful ideas into menu rollouts. Culture & Example: - Set the tone for punctuality, hygiene, and teamwork; coach junior chefs toward promotion‑readiness. Qualifications - Proven experience in supervising and managing kitchen staff - Strong culinary skills with a background in food preparation and cooking - Solid understanding of food safety regulations and practices - Experience in restaurant and hospitality settings - Leadership abilities to foster a positive team environment Job Type: Full-time Pay: £36,000.00-£40,000.00 per year Additional pay: Loyalty bonus & Performance bonus Benefits: - Company pension - Cycle to work scheme - Discounted or free food - Employee discount - Sick pay - Store discount Schedule: Weekend availability Experience: Kitchen management: 3 years (required) Licence/Certification: Food Hygiene Certificate (preferred) Work authorisation: United Kingdom (required) Work Location: In person

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?

The GAO Group is headquartered in NYC, USA, and Toronto, Canada, and its member companies are incorporated in both USA & Canada, and its member companies are leading suppliers of advanced electronics and network products for engineers worldwide. Location : Remote Job Description: · Recruit and source candidates: Job boards, social media, headhunting · Post job openings on various recruitment platforms and university portals. · Screen resumes and applications · Schedule interviews for senior HR staff · Manage communication through emails and LinkedIn with applicants and follow up with the candidates. Requirements: · You are studying for or shall have a University degree in HR, Journalism, Business, Arts, or any programs providing strong English language training or candidates with strong English language skills. · You shall be keen to learn, willing to work hard, maintain productivity, and be committed to the job. · You shall have chosen HR as your desired career and are strongly interested in an intern opportunity related to HR. Benefits of this Internship Include: · You gain real-world work experience at an internationally reputable high-tech company; · Learn real-world knowledge, work ethics, team spirits; • Receive 3 certificates, and · It is short & convenient: you can work from anywhere, which makes you much more employable and competitive in the job market.

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.

We are a trusted local garage with a strong reputation for quality vehicle repairs and maintenance services. Proudly serving the community for 15 years, we handle everything from routine servicing to complex mechanical repairs for a wide range of vehicles. We are currently seeking a skilled and reliable Car Mechanic & Vehicle Maintenance Technician to join our friendly team. This hands-on role is ideal for someone who thrives in a busy workshop environment and takes pride in delivering top-notch service. Key Responsibilities: Diagnose mechanical and electrical faults in vehicles Perform routine servicing, MOT preparations, and general maintenance Carry out mechanical repairs including brakes, clutches, suspensions, and engine work Maintain a clean, safe, and organized workspace Liaise with customers and provide clear explanations of issues and repairs when needed Requirements: Proven hands-on experience in vehicle mechanics and maintenance (minimum 2 years preferred) NVQ Level 2 or 3 in Vehicle Maintenance and Repair or equivalent qualification (preferred) Strong diagnostic and problem-solving skills Full UK driving licence Ability to work independently and as part of a team What We Offer: Competitive salary based on experience Ongoing training and development opportunities Supportive and down-to-earth team environment Flexible working hours can be considered Employee discounts on services If you're passionate about cars and committed to high-quality work, we’d love to hear from you! To Apply: lease send your CV and a brief cover letter to us or drop it off at the garage in person.