Trabajos design engineering en Reino Unido

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.

Overview An Architect is responsible for designing, planning, and overseeing the construction of buildings and structures. The role combines creative design with technical knowledge and regulatory compliance, ensuring that projects are functional, safe, sustainable, and aesthetically pleasing while meeting client needs and budgetary constraints. Key Duties and Responsibilities An Architect’s primary responsibilities typically include: Design & Planning Developing architectural concepts, plans, and detailed drawings using CAD and BIM software. Creating designs that are functional, safe, sustainable, and visually appealing. Preparing specifications, feasibility studies, and project proposals. Client & Stakeholder Engagement Meeting with clients to determine requirements, budgets, and objectives. Presenting design proposals and obtaining client approvals. Advising on design feasibility, costs, and timelines. Project & Construction Oversight Coordinating with engineers, surveyors, contractors, and other professionals throughout project development. Conducting site visits to ensure work is progressing according to plan, specifications, and safety standards. Monitoring construction to ensure compliance with approved designs and building regulations. Regulatory Compliance Ensuring all projects comply with building codes, planning legislation, health and safety regulations, and sustainability standards. Preparing and submitting planning applications and building control approvals. Sustainability & Innovation Incorporating sustainable materials, energy efficiency, and environmentally responsible design principles. Staying updated on technological developments and industry trends in architecture and construction. Documentation & Reporting Preparing technical documentation, project briefs, and reports for internal and external stakeholders. Maintaining accurate project records and schedules. Skills & Competencies Strong design and visualisation skills (hand-drawing, CAD, and BIM). Excellent knowledge of construction methods, building codes, and planning law. Strong project management and organisational abilities. Effective communication and client management skills. Creativity, problem-solving, and attention to detail. Ability to work collaboratively with multidisciplinary teams. Turkish Speaking Preferable Typical Work Environment Architects usually split their time between office-based design work, client meetings, and site visits. The role requires balancing creative design with practical constraints such as cost, safety, and environmental considerations.

Job Summary: We are seeking a detail-oriented and analytical IT Quality and Testing Professional to join our IT team. This role is responsible for ensuring the quality and functionality of software applications through the design and execution of test plans, identification of bugs, and collaboration with development teams to resolve issues. The ideal candidate will have strong problem-solving skills, an eye for detail, and a solid understanding of software testing methodologies. Key Responsibilities: Develop, document, and execute detailed test cases, test scripts, and test plans for various software applications. Perform functional, regression, integration, system, and user acceptance testing. Collaborate with developers, business analysts, and stakeholders to understand requirements and ensure quality is built into the development process. Identify, log, and track defects using bug tracking tools (e.g., JIRA, Bugzilla). Conduct root cause analysis of defects and recommend solutions or preventative steps. Participate in sprint planning and reviews within Agile or other SDLC frameworks. Design and implement automated testing solutions (if applicable). Maintain documentation of testing processes and quality metrics. Support the release process through validation of build readiness and deployment testing. Computer Games Testing: Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience in software quality assurance and testing. Strong knowledge of software QA methodologies, tools, and processes. Experience with both manual and automated testing techniques. Familiarity with testing tools such as Selenium, JUnit, TestNG, LoadRunner, or similar. Proficiency in test management tools (e.g., TestRail, Zephyr). Excellent analytical, problem-solving, and communication skills. Ability to work both independently and in a team-oriented, collaborative environment. Familiarity with Agile/Scrum development processes. Employment Type: Full-time Location: On-site / Hybrid / Remote (as per company policy)

Location: London Company: OneTent Commission: Earn Up To 75% Commission – First Year Introductory Offer As part of our startup launch, we're offering self-employed estate agents an exclusive 75% commission split for their first year. This is a limited-time rate designed to support new team members who join OneTent early. Also, as part of our launch, we will be inviting one senior agent to manage sales and lettings and help develop a high-performing agent network. This is a frontline leadership role, which, for the right individual, opens a path toward becoming a partner or future CEO. 💰 What You’ll Get • Up to 75% commission share in the first year, • Uncapped earning potential, • No Upfront Fees, • Self-employed model – full flexibility over your hours, territory, and clients, • CRM & tech support – state-of-the-art platforms to streamline your workflow, • Minimum 2 years in property sales or lettings, • Strong local knowledge and client-handling skills, • Ambitious, self-motivated, and service-driven, • Comfortable with self-employed responsibilities (tax, admin, etc.), • Providing free labour on all minor repairs throughout the tenancy, • Before tenancy, providing six hours free handyman labour to fix minor flaws, or to assist with chores, • Carrying out free, full photographic inventory before tenant move-in, • Tradesmen In-House: No outsourcing. Our skilled engineers, plumbers, electricians, and decorators are part of our core team.

Engineer and Developer roles include: -designing, -developing, and -maintaining software applications, -systems, and operating systems. Tech managerial roles include: -overseeing the technical aspects of projects, -overseeing teams, and systems within an organization, -ensuring alignment with business goals and efficient project execution. -managing resources, provide leadership to technical teams, and bridge the gap between technical and non-technical stakeholders. You will be paid according to projects, creative endeavors and service-based options (online meetings, homework, tutoring, virtual assistance, or social media management).

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.