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Michael Kors is always interested in hearing from talented, globally-minded individuals with a passion for fashion. If you enjoy working in a creative, fast-paced environment, then we would love to hear from you! STORE MANAGER - MANCHESTER CITY CENTRE — Leading all aspects of store management, the Store Manager builds and leads a high-performing team focused on driving the business. The role is accountable for achieving operational budgets and developing and maintaining a proactive business plan. Major Responsibilities include but are not limited to: People • Inspire, lead, and coach the store team to foster a culture of performance and accountability, • Recruit, train, and develop top talent to build a team of Jet Set Ambassadors, • Drive retention through effective Talent and Succession planning, • Support and follow up on all training and onboarding initiatives, • Conduct regular performance evaluations, providing ongoing feedback and coaching, • Proactively manage HR matters in partnership with HR, ensuring grooming and image standards align with brand policy • Partner with DM to review PTS integrity and identify improvement opportunities, • Collaborate with retail partners on sales strategies, product knowledge, brand standards, and service • Role model company behaviors and ensure effective use of the Service behavior toolkit, • Lead the team to deliver exceptional customer experiences that drive loyalty and repeat business, • Ensure consistent client communication through all clienteling tools, • Actively manage the client database to drive sales growth, • Maintain a strong floor presence and lead by example, • Coach and empower teams to resolve customer service issues in the customer’s best interest, • Drive incremental revenue through local customer events, • Build strong relationships with the District Manager, corporate partners, mall offices, and peer stores to drive district-wide performance Sales • Meet and exceed sales goals, holding self and team accountable, • Analyze reports and implement action plans to achieve or exceed targets, • Partner with the team on Quarterly Planners to support strong business outcomes, • Communicate business results and opportunities, driving sales and product knowledge, • Set and clearly communicate sales and unit goals for Jet Set Ambassadors Operations • Ensure store maintenance and audit programs align with brand standards, • Control expenses and continuously seek cost-saving opportunities, • Maintain inventory integrity through bi-annual inventories, • Prioritize loss prevention, taking swift action on risks in partnership with LPRM, • Optimize scheduling to ensure the right people are in the right place at the right time, • Partner with DVM to execute visual merchandising directives and strategies, • Collaborate with logistics and product teams to maintain optimal assortment, size, and style integrity • Ensure effective use of all company communication platforms and follow-up on required actions Job Requirements • Proven retail management experience in a fast-paced environment, • Charismatic, inspirational leadership style, • Strong technology proficiency to drive sales and customer experience, • Ability to thrive under pressure in a dynamic environment, • Excellent organizational, interpersonal, and follow-up skills with strong attention to detail, • Proficiency in Retail Math, KPIs, and Microsoft Office, • Fluent in English The Company is an equal employment opportunity employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at .

Applicants must hold Level 4 Diploma in UK Financial Advice If you are an experienced Financial Advisor seeking an employed role then this could be the opportunity for you! This is a fantastic opportunity that will suit any experienced Financial Adviser, whether you come from an independent or a banking background who is frustrated in finding new clients and completing all the admin tasks that come with being a successful Financial Adviser. As a leading financial services business, Quilter Financial Planning are offering an excellent opportunity for a Financial Advisor to work on an Employed basis with one of our Strategic Partner firms. The Benefits: • All leads are professionally introduced through a robust lead generation process, • Attractive remuneration terms, • Full paraplanning and admin support, • Market focused training provided, • Business and personal development, • An infrastructure to fully support all Advisers delivering a first-class service to clients and therefore enhancing your income, • National coverage., • Many great opportunities for Advisers to really maximise their earning potential. The Role: • Your goal will be to ensure clients make wise and profitable decisions to meet their financial Goals, • Prepare sound financial plans to ensure clients meet their targets, • Advise clients on current financial issues and make recommendations, • Generate new business and build introducer relationships, • Customise financial plans according to clients’ changing needs, • Build strong relationships to retain existing clients, • Maintain and update knowledge of regulations, practices, and financial products About You: • Proven experience as a financial planner, • Ability to analyse financial information and comply with regulations, • Proficiency in MS Office and CRM systems, • Attention to detail and strong math skills, • Strong ethics, with a customer-oriented attitude, • Outstanding communication skills, with the ability to foster long-term relationships, • Diploma in Financial Services Qualifications: • Diploma in Financial Advice, • Industry Sales experience, • Strong understanding of investment and pension business, • Excellent interpersonal skills goals., • Ambition and Hunger

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

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