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On the hunt for a friendly, experienced barista who loves a little pressure behind the La Marzocco machine. You must be available on weekends and be comfortable doing tow things at once - most likely making coffee and engaging at the same time - shifts start at 7am and on occasion may last until 7pm. Shifts will be split between two locations - SE21 and SW2. And easy commute is essential! An interest in Italian food is a big plus!

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.

We are seeking a Production Operator / Production Assistant to join our team. This role involves assisting in various aspects of production, including preparing fillings, assembling empanadas, making dough, and producing empanada discs using a Rondo machine. Responsibilities: Assist in preparing fillings and assembling empanadas. Ensure product quality and consistency. Conduct quality control checks on the products and make necessary adjustments. Maintain a safe and clean working environment. Make dough and prepare empanada discs. Requirements: Previous experience in food production (preferred). Ability to work well within a team and strong attention to detail. Proactive and responsible attitude. Must be available to work on Saturdays. If you are interested, please apply now!

We are looking for an experienced Barista who knows how to use the coffee machine very well!!! Please no waste time

Customer Service: Greet customers, answer inquiries, address concerns, and explain available services and turnaround times. Item Inspection: Examine garments for stains, damage, special cleaning instructions, or missing items before processing. Spot Treatment & Pre-Cleaning: Apply appropriate stain-removal techniques and pre-treatments to garments based on fabric type and stain nature. Dry Cleaning Operations: Operate dry cleaning and laundering machines according to set specifications and safety standards. Pressing and Finishing: Iron, press, steam, fold, or hang garments ensuring a professional and wrinkle-free presentation. Quality Control: Conduct final inspections to verify items meet quality standards before customer return or delivery. Inventory & Supplies Management: Monitor and replenish stock of cleaning agents, packaging materials, and chemicals. Machine Maintenance: Perform basic maintenance, inspections, and cleaning of dry cleaning equipment. Administrative Duties: Process payments, prepare invoices, maintain service records, and manage customer item tags. Workflow Management: Organize and prioritize cleaning tasks to ensure efficient operations and on-time delivery. Staff Supervision (if applicable): Train, supervise, and support junior or new employees to uphold service and quality standards.