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Hi everyone! We are looking for staff for our shop in Westminster, London (SW1P 2HP). We will be interviewing/carrying out trials this week from Sat 7th June onwards. We are looking for an immediate start. We will work with you to find the right start date. If you apply, please state your availability for interviews and for being able to start in a chat/private message. We will be open from 7am - 4pm Monday-Friday. We are trialling 7.30am-2pm on Saturdays. This role will involve making good coffee including Greek coffees (ελληνικός, freddo and frappé) - knowledge of using espresso machines and latte art a must. You will also be expected to open and close the shop, bake pastries/ prepare food and present/serve it. You will be expected to manage the inventory and uphold the hygiene and cleanliness of the shop. Experience managing a shop is a must. Pay is competitive. Experience will be taken into consideration. You must have passion for Greece and its' products. We will expect you to learn how to pronounce the names in Greek as well as possible and be able to sell the products. We will help you with this but a good ability to sell products is absolutely necessary. We also have both Greek and Spanish food stalls which we make ask you to assist with as they are located outside our shop. You must have permission to work in the UK. Please send a message with your contact details, relevant experience, availability and the role(s) you are applying for. Thank you!

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science 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: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role 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 Data Scientist 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. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

La Maison Ani is a celebration of love and food a stone's throw from Sloane Street and situated in Jumeirah Carlton Tower, bringing the timeless allure of France to Knightsbridge, London. Responsible for all hot beverages production and service. Set-up and clean-up of all areas, as well as operational requirements during the service. DAILY R E S P O N S I B I L I T I E S: • Take responsibility for maintaining high quality standard required • Assure all drinks are prepared and served according to LMA LONDON standards • Always ensure that mise-en-place is completed correctly, both prior and after shift • Make sure coffee machine, hot water dispenser , filter coffee machine and juice sueezer are cleaned and in order • Check the stock and update management in case of missing items or any changes • Learn about menu items and memorizing recipes, coffees,teas,smoothies • Attend the training • Take care of daily deliveries of soft drinks, fruits, milk and coffee

Location: London Company: Planet Neon At Planet Neon, we specialise in creating high-quality, custom LED neon signs that enhance the ambiance of homes, venues, and businesses. We are committed to delivering unparalleled customer service and after-sales care, ensuring every customer has a seamless and satisfying experience. As we continue to grow and innovate, we invite you to join our team and help bring our unique products to life. Job Description: As an Entry-Level CNC Machine Operator, you will be responsible for operating and maintaining industrial machinery to carve custom LED neon signs. You will work with a variety of materials, including acrylic sheets, and be involved in all aspects of the CNC process, from machine set-up to final inspection. Key responsibilities include: Loading and unloading acrylic sheets (8mm and 10mm) for sign production. Fitting and adjusting tools for machine operation. Setting up and calibrating equipment and accessories to ensure optimal performance. Translating part drawings into measurements for production. Inspecting workflows to meet technical and quality standards. Developing efficient work plans to complete daily machining tasks. Skills Required: Basic knowledge of CNC machine operation or a strong interest in learning (training will be provided). Ability to read and interpret CAD files (training will be provided). Strong attention to detail and commitment to delivering high-quality work. Ability to work well in a team-oriented environment. Basic computer skills and a willingness to learn CNC software (CAD). Problem-solving skills and the ability to troubleshoot basic machine issues. Qualifications: No prior CNC experience required, though a background in design, engineering, or carpentry is advantageous. Technical or vocational training in manufacturing, engineering, or a related field is preferred but not essential. GCSEs or equivalent qualification in Maths, Design Technology, or Engineering is beneficial. What We Offer: Full training and development in CNC operations and manufacturing processes. The opportunity to work on high-profile projects for global brands. A supportive, creative work environment with opportunities for growth. Competitive salary and benefits package.

For a Pasta and Pizza Bar in Kensington , We are looking for someone CONFIDENT, HARDWORKING and FUN - who has a great passion to deliver the BEST customer experience and LOVES good food. Responsibilities of a Manager: Staff Management: Hire, train, schedule, and supervise staff to ensure excellent customer service and smooth operations. Customer Service: Maintain high standards of customer satisfaction by handling complaints, resolving issues, and creating a welcoming environment. Inventory Control: Monitor and manage inventory levels of coffee, food, and supplies. Order stock as needed and minimize waste. Financial Oversight: Handle cash management, budgeting, and daily sales reports. Ensure accuracy in transactions and deposits. Health & Safety Compliance: Ensure the coffee shop follows health, hygiene, and safety regulations at all times. Quality Control: Maintain consistency and quality in food and beverages served, following company standards. Marketing & Promotions: Implement local promotions and events to attract customers and grow sales. Equipment Maintenance: Make sure coffee machines and other equipment are regularly cleaned and properly maintained. Team Motivation: Lead by example, encourage teamwork, and provide feedback to help employees grow and perform well. Problem-Solving: Quickly address any operational or staff-related issues to maintain efficiency and customer satisfaction. Maintain cleanliness and organization in the kitchen area. Assist with inventory management and ordering supplies. Collaborate with other kitchen staff to ensure smooth operations. Applicants must be: energetic, bubbly and passionate people with previous experience in customer service. You should be a motivated team player with a good ‘willing to learn’ attitude. You will need to be ‘on the ball’ and have a good level of spoken English. Drop us your CV and a brief statement of what makes you a superstar, we are very much looking forward to welcoming you to the Labakery family.

Job Title: Data Science Intern Location: Work From Home (WFH) Indian students currently pursuing graduation (final-year preferred) Duration: [e.g., 1-3 Months] Start Date: [Mention Date or "Immediate Joiners Preferred"] About the Role: We are offering an exciting opportunity for freshers to kickstart their career as a Data Science Intern. This remote internship will provide hands-on experience in data analysis, machine learning, and working with real-world datasets. Key Responsibilities: Work on collecting, cleaning, and analyzing datasets. Perform exploratory data analysis and generate reports. Develop and test machine learning models. Present data insights and contribute to live projects. Collaborate with team members in a virtual environment. Eligibility: Qualification: Fresher (recent graduates or final-year students welcome). Education: Pursuing or completed a degree in Computer Science, Data Science, Statistics, or related fields.

IMMEDIATE START. FULL TIME AND PART TIME POSITIONS AVAILABLE. Barista experience preferred however full training can also be provided About Us: We are a local, independent, family-owned cafe dedicated to providing exceptional coffee and a warm, welcoming atmosphere to our community. As a valued member of our team, you will play a key role in delivering outstanding customer service and contributing to the overall success of our cafe. Position Overview: We are looking for a qualified Barista or an experienced Barista to join our team. The ideal candidate will be passionate about coffee, dedicated to delivering excellent customer service, and eager to contribute to the success of our family-run cafe. As a Barista, you will report directly to the owners and work closely with the team to ensure that every customer has a memorable experience. Key Responsibilities: Prepare and serve high-quality coffee, espresso-based drinks, and other beverages. Maintain an organized, clean, and safe working environment, adhering to health and safety guidelines. Deliver exceptional customer service, greeting customers, taking orders, and ensuring a positive cafe experience. Operate espresso machines and other coffee-making equipment efficiently and safely. Assist in keeping the cafe area clean, including wiping down surfaces and maintaining stock levels of supplies. Handle cash and card transactions accurately and efficiently. Contribute to a friendly and collaborative team atmosphere. Ensure all orders are prepared to the highest standards and in a timely manner. Adhere to company policies, including food safety and hygiene standards. Qualifications: Previous experience as a Barista is preferred but not required (full training will be provided). A passion for coffee and a keen interest in learning more about coffee-making techniques. Excellent customer service and communication skills. Strong attention to detail and a commitment to quality. Ability to work efficiently in a fast-paced environment. Friendly, reliable, and team-oriented attitude. Must be able to work flexible hours, including weekends and holidays. Additional Benefits: Full training provided to ensure you are fully equipped to succeed in the role. Paid breaks during shifts. Opportunity to work in a close-knit, supportive team environment. The chance to be a part of a local, independent cafe that values its employees. If you are passionate about coffee, enjoy interacting with customers, and are eager to be part of a family-owned business, we would love to hear from you! Apply now and become part of our wonderful team.

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.