Fashion production jobs in United Kingdom

Garment Technologist & Compliance Officer \n \n Location: Watford, Hertfordshire (WD24) \n Job Type: Full-time, Permanent \n Salary: £35,000–£40,000 depending on experience \n Reports to: Senior Production Manager \n The Role \n This is a hands-on role covering garment technology, fit, quality assurance, apparel testing, product compliance and factory compliance. \n You will work closely with our design, buying and production teams and overseas factories, managing garments from initial development through to bulk production and ensuring products meet our quality standards, customer requirements and applicable UK, EU and international regulations. \n Key Responsibilities: \n Garment Technology & Development \n\n • Manage garment development from initial sample through to production approval.\n, • Conduct fit sessions and provide clear, practical fit and construction comments.\n, • Review garment construction, measurements, grading, patterns, workmanship and finishing.\n, • Create and maintain measurement specifications and technical packs.\n, • Communicate technical corrections and improvements to overseas factories.\n, • Approve development, fit, pre-production and production samples.\n, • Identify technical risks and provide practical, commercially viable solutions.\n, • Maintain consistent fit and quality standards across suppliers and product categories.\n\n Testing, Quality & Compliance \n\n • Determine appropriate apparel testing requirements based on product, materials, intended use, customer and destination market.\n, • Manage testing covering areas such as dimensional stability, colour fastness, seam strength, fabric performance and restricted substances.\n, • Review laboratory reports, manage failures and coordinate corrective action.\n, • Review inspection reports and resolve production quality issues before shipment.\n, • Investigate returns, complaints and recurring quality issues to identify root causes.\n, • Ensure apparel meets applicable UK, EU and international safety, chemical and labelling requirements, including REACH where relevant.\n, • Verify care labels, fibre composition, country of origin, warnings and other mandatory product information.\n, • Maintain accurate technical, testing, approval and compliance records.\n\n Factory & Ethical Compliance \n\n • Review factory audit reports and certifications including SEDEX/SMETA, BSCI and equivalent standards.\n, • Track audit expiry dates, corrective actions and outstanding non-conformities.\n, • Work with suppliers to maintain required social, ethical and technical compliance documentation.\n, • Highlight compliance risks and support corrective action relating to labour practices, workplace safety, responsible sourcing and factory standards.\n\n Sustainability & Certification \n\n • Review certifications including GOTS, GRS, OEKO-TEX and FSC where applicable.\n, • Verify certification validity, scope and supply-chain coverage.\n, • Support accurate and substantiated sustainability and recycled-content claims.\n, • Improve the quality and traceability of supplier sustainability documentation.\n\n Skills & Experience: \n \n Essential \n\n • 3–5+ years' experience in garment technology, apparel QA, product compliance or a related role.\n, • Strong knowledge of garment construction, pattern cutting, grading, fit and manufacturing.\n, • Confident conducting fit sessions and providing technical comments.\n, • Experience with technical packs, measurement specifications and production samples.\n, • Good understanding of fabrics, apparel testing and product-safety requirements.\n, • Knowledge of apparel labelling and fibre-composition requirements.\n, • Experience working directly with overseas factories and suppliers.\n, • Excellent attention to detail and ability to manage multiple product timelines.\n, • Strong communication and organisational skills.\n, • Strong Microsoft Excel skills and experience maintaining technical/compliance trackers.\n, • Ability to work from our Watford office.\n\n Desirable \n\n • Degree or professional qualification in Textile/Garment Technology, Fashion Design, Pattern Cutting or a related subject.\n, • Experience with licensed apparel or major UK retail customers.\n, • Knowledge of REACH, restricted-substance testing and UK/EU apparel regulations.\n, • Experience reviewing SEDEX/SMETA, BSCI or similar factory audits.\n, • Familiarity with GOTS, GRS, OEKO-TEX and other certification schemes.\n, • Experience with PLM/product-development systems.\n, • Wider factory, ethical or supply-chain compliance experience.\n\n \n The Person \n We are looking for someone who is: \n\n • Meticulous, practical, and confident making technical decisions.\n, • Proactive in identifying and resolving issues before they affect production.\n, • Comfortable challenging suppliers or internal teams when standards are not met.\n, • Commercially aware, balancing quality, compliance, cost and delivery.\n, • Highly organised with strong documentation skills.\n, • Able to explain technical and regulatory requirements clearly to non-technical colleagues.\n, • Comfortable working in a fast-paced environment with changing priorities.\n\n Working Hours Monday–Thursday: 9:00am–6:00pm - Friday: 9:00am–4:30pm \n Benefits include: \n\n • £35,000–£40,000 salary depending on experience.\n, • Permanent, full-time position.\n, • Early finish on Fridays.\n, • Hybrid working of up to 2 days per week after probation, subject to role requirements.\n, • Company pension.\n, • Statutory annual leave.\n, • Free on-site parking.\n, • Casual dress.\n, • Opportunity to work with well-known licensed brands and major retail customers.\n, • Significant scope to develop and take ownership of the company's garment technology and compliance function.\n\n \n Applicants must be UK-based, have the right to work in the UK and be able to commute reliably to our Watford office.

We are delighted to be partnering with a well-established and successful British fashion and lifestyle brand that is looking to recruit an experienced and commercially driven Merchandiser to join its growing team on a fixed term contract. This is a fantastic opportunity to join a highly regarded retail business where you will play a key role in driving the commercial performance of your product categories through effective financial planning, stock management and in-season trading. Working closely with the Buying, Design and wider product teams, you will take ownership of category planning, forecasting and trading strategies. You will be highly analytical, commercially minded and confident in making strategic decisions. This role offers hybrid working. Main Responsibilities will include: Take ownership of the financial performance of designated product categories, managing sales, margin, stock levels, intake and profitability. Develop and maintain accurate category plans, budgets and forecasts, identifying potential risks and commercial opportunities. Manage Open to Buy (OTB), ensuring the right balance between stock availability, sales performance, margin and cash flow. Analyse weekly and monthly trading performance, providing clear commercial insights and recommendations to maximise sales and profitability. Lead weekly trading meetings, presenting category performance, key priorities and commercial recommendations to senior stakeholders. Lead seasonal range planning alongside Buying and Design teams, ensuring product assortments are commercially balanced. Review historical performance, competitor activity and market trends to influence future buying and merchandising strategies. Manage option planning, product estimates, allocations and distribution strategies to optimise stock performance. Monitor in-season stock levels and forecasts, taking proactive action to maximise sell-through and minimise terminal stock. Work closely with suppliers to manage production planning, forecasting, delivery schedules and stock availability. Manage, mentor and develop Assistant and Trainee Merchandisers. Support wider business initiatives, including sustainability objectives, new product opportunities and continuous improvements to merchandising processes. Person Specification: Proven experience working as a Merchandiser within a fashion, lifestyle or retail environment. A collaborative and positive team player with a genuine passion for product. An interest in responsible sourcing and sustainability, with an understanding of their importance within the fashion industry. Confident managing Open to Buy (OTB), category budgets, margins, markdowns and stock intake. Highly analytical with the ability to interpret complex data and translate findings into clear commercial actions. Excellent organisational skills with the ability to manage multiple priorities and work effectively to critical deadlines. Confident using merchandising systems, Excel and reporting tools to support financial and commercial decision-making. Strong communication and presentation skills, with the confidence to influence stakeholders at all levels. Previous experience managing, mentoring or developing junior team members. TPBN1_UKTJ

Sales Consultant - Fine Jewellery Location: Hatton Garden, Central London Base salary: £32,500 + commission + company bonus About the Opportunity Are you a commercially driven sales professional who thrives on closing deals, building client relationships and delivering exceptional customer experiences? We're recruiting three Sales Consultants to join a growing, award-winning fine jewellery business based in the heart of London's renowned jewellery district. This is an exciting opportunity to join an expanding business at a pivotal stage of its growth, with the autonomy to manage your own clients, take ownership of your results and maximise your earning potential. You'll guide customers through some of life's most meaningful purchases, combining commercial instinct with warmth, confidence and emotional intelligence. From initial consultation through to final handover, you'll manage the entire sales journey, helping clients make informed decisions while delivering a genuinely personal, premium experience. We're looking for people who love selling, are motivated by targets and commission, and understand that the best sales come from earning trust rather than applying pressure. Fine jewellery experience is beneficial but not essential. We're equally interested in successful sales professionals from luxury retail, watches, premium fashion, hospitality, art or other customer-focused environments where relationship building and consultative selling are central to success. What You'll Be Doing Managing your own client appointments from initial consultation through to sale and final handover. Building rapport quickly and understanding each customer's needs, preferences and budget. Converting enquiries and appointments into sales, consistently working towards and exceeding individual targets. Using a consultative approach to recommend suitable products, bespoke designs and complementary services. Explaining product features, materials, craftsmanship and design options in a clear, engaging and confident manner. Maintaining relationships through proactive follow-ups, repeat business and client referrals. Taking ownership of your sales performance, pipeline and client experience. Working collaboratively with colleagues across sales, customer care and production to ensure a seamless customer journey. Staying informed about products, trends and customer preferences to continually improve your performance.What We're Looking For Above all, we want people who can demonstrate strong sales ability, a genuine appetite for earning commission and the confidence to manage their own client relationships. You'll ideally bring: A proven track record of closing sales, meeting targets and delivering measurable commercial results. A strong personal drive, with the motivation to maximise earnings through individual performance. Confidence in consultative selling, handling objections and closing opportunities professionally. Excellent interpersonal skills and the emotional intelligence to understand customers and adapt your approach. A natural ability to build trust, particularly when guiding customers through high-value or emotionally significant purchases. The independence and accountability to manage appointments, follow-ups and results with minimal supervision. Strong organisation, resilience and the ability to thrive in a fast-paced, performance-driven environment.Previous fine jewellery experience is preferred, ideally with at least two years in the sector, but it is not essential. Candidates from other premium or consultative sales environments will be considered if they can demonstrate the right skills, behaviours and commercial results. The ideal candidate is confident without being pushy, commercially ambitious without compromising customer experience, and motivated by the opportunity to take ownership of their success. The Business & Culture You'll be joining an established and growing jewellery business with a strong focus on craftsmanship, transparency and exceptional service. Unlike a traditional retail environment, the business combines customer-facing sales with in-house jewellery production. This gives the team a deeper understanding of the products they sell and the ability to guide customers through bespoke designs and the finer details of craftsmanship. The sales culture is entrepreneurial and collaborative. Consultants have significant autonomy over their client appointments and individual performance, with the wider business providing the operational and production support needed to deliver an excellent customer journey. The emphasis is on building long-term client relationships, delivering outstanding service and achieving sustainable commercial success. Salary, Commission & Benefits Base salary: £32,500 per annum. Commission: Averaging approximately £8,000 per year, paid quarterly, with higher earnings possible depending on individual performance. Holiday: 25 days annual leave plus bank holidays. Pension: Employer pension contributions. Healthcare: Private healthcare and wellbeing benefits. Development: Comprehensive training, ongoing professional development and opportunities for career progression. Working environment: Premium showroom in Hatton Garden, Central London, with additional workplace and team benefits.The commission structure rewards individual performance, making this an attractive opportunity for someone who enjoys working towards targets and wants their earnings to reflect their results

EXCITING OPPORTUNITY FOR A STORES PERSON JOB IN HAYES, GREATER LONDON!! Our client are experts in state of the art innovative radar technology across the air, land and sea! They are currently looking for an experienced Stores Person to join their team. You will have responsibility for goods in/out, liaising with customers and engineers on orders/components required, H&S implementation, inventory control and general other store duties. Responsibilities for the Stores Person job in Hayes, Greater London. •Ensure all stock is stored in the correct and safe manner. •Contribute to the professional and accurate administration of the ’on demand’ requisition service to stakeholders within the business. •Provide a kitting service that is timely and efficient to serve production needs and ensure all required documentation is correctly completed. •Ensure goods received match in quantity, part number and specification according to delivery note, order, are received in good condition and passed onto the relevant customer in a timely fashion. Where issues arise, alert relevant stakeholders and work to resolve. •Contribute to the daily stand up meeting and attend/present at weekly supply chain team meetings. •Take delivery of goods with the use of a fork lift truck and/or any other mechanical/manual handling machinery where required. Experience required for the Stores Person job in Hayes, Greater London. Experience in working in a stores/warehouse environment within manufacturing. Security clearance required Forklift trained Ideally some experience with Electronic components * Health & Safety assured My client has a strong internal culture of teamwork and work-life balance. They value their employees and strive to create a positive, relaxed and enjoyable working environment. If you're interested in the Stores Person position based in Hayes, Greater London then APPLY NOW for more info

An opportunity has arisen for a Senior Email Account Manager to join a digital marketing agency supporting e-commerce brands across fashion, sportswear, supplements and other consumer sectors. As a Senior Email Account Manager, you will lead client accounts from strategy and planning through campaign delivery, optimisation and performance reporting, using Klaviyo to drive measurable results. This full-time role offers hybrid working options, with at least 3 days per week in the Putney office, and a salary of £32,000 - £44,000 with benefits. You Will Be Responsible For: Managing client relationships, onboarding new accounts, conducting performance reviews, planning promotions and identifying retention risks. Developing campaign calendars, automated flow strategies, audience segmentation, list growth plans and A/B testing schedules. Managing Klaviyo campaigns and flows, including quality checks, scheduling, optimisation, dynamic content, deliverability and auditing underperforming automations. Briefing designers and copywriters, reviewing creative work, coordinating production through (url removed) and working with design and build teams to meet deadlines. Reporting on email revenue, store revenue contribution, campaign and flow performance, and list growth using Hiro Analytics, translating results into recommendations and monitoring account progress. What We Are Looking For: Essential: Approx 4 years' experience in email marketing, including a minimum of 2 years managing multiple ecommerce clients within an agency. Strong practical experience with Klaviyo, including building automated flows, creating segments, running A/B tests, managing deliverability and generating reports independently. A proven track record of delivering revenue growth for direct-to-consumer (DTC) brands, with the ability to explain the strategies used and their results. A good understanding of creative email and copy, including briefing designers and reviewing work for quality and brand consistency. Desirable: Experience with SMS marketing through Klaviyo. Familiarity with Hiro Analytics, (url removed) or Figma. Knowledge of Shopify, including how ecommerce applications, reviews, subscriptions and loyalty programmes integrate with email marketing. An interest in using AI tools to support campaign planning, briefing, copy development and reporting. The candidates from the following background will be considered: Email Account Manager, Senior Email Marketing Manager, Email Marketing Specialist, Email Marketing Executive, Klaviyo Specialist, Klaviyo Account Manager, Email Marketing Account Manager, CRM Manager, Email Campaign Manager, Lifecycle Marketing Manager, Retention Marketing Manager, Ecommerce Account Manager, Email Automation Specialist or in a similar role. What’s on offer: Competitive salary Company pension 25 days' annual leave plus bank holidays Casual dress and company events Quarterly team trips Apply today for the opportunity to take ownership of paid social campaigns, build strong client relationships and contribute to the growth of e-commerce brands within a collaborative marketing environment. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003

I am recruiting for an exciting opportunity for a Fashion Jersey Designer to join a highly successful design and sales team, working across several key accounts with major UK retailers. This is a fantastic opportunity for a designer looking to develop their career in a fast-paced, commercial fashion environment. You will be front-facing with buyers, presenting your ranges alongside the Account Managers, so confidence, enthusiasm and a genuine passion for fashion are essential. You will need strong commercial design experience across fashion-forward casualwear, plus some formal and leisure jersey, and a good understanding of what works for major retailers. You will take ownership of the jersey department from initial trend research and concept development through to creating detailed CADs and technical packs for production, working closely with the wider design and sales teams throughout the process. The role is based in London and offers flexible hybrid working, so candidates based elsewhere in the UK will be considered, provided you are able to travel to the London office 3 days per week. Main Responsibilities Will Include: Researching and interpreting key seasonal trends, colours, fabrics, silhouettes and competitor activity. Designing commercially successful and trend-led jersey ranges. Creating detailed and accurate CADs using Adobe Software. Producing technical packs with clear measurements, construction details and product specifications. Working closely with Buyers to understand customer briefs, requirements and commercial direction. Attending customer meetings and presenting new ideas, concepts and product ranges where required. Liaising with factories and suppliers throughout the development process to ensure products are developed accurately and efficiently. Working closely with Technical, Product Development and Merchandising teams throughout the critical path. Reviewing samples and providing clear comments and amendments to ensure products meet the required design, fit and quality standards. Conducting regular competitor and market research to identify new opportunities and emerging trends. Person Specifications: Previous experience working as a Jersey Designer at either a supplier or retailer. Strong commercial awareness with the ability to interpret trends into wearable and commercially successful products. A strong portfolio demonstrating excellent CAD work, commercial product development and a clear understanding of jersey design. Confident creating detailed, accurate and production-ready technical packs. Strong understanding of jersey fabrics, garment construction, fit and manufacturing processes. Strong communication and presentation skills, with the confidence to liaise effectively with Buyers, suppliers and internal teams. A proactive, creative and enthusiastic approach, with a genuine passion for fashion and product development. TPBN1_UKTJ

We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process This is a rare opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement), you’ll shape how intelligent agents are designed, orchestrated, and deployed across the organisation - moving beyond traditional AI use cases into systems that can reason, act, and collaborate to drive real business outcomes. You’ll play a pivotal role in turning emerging capabilities into scalable, production-grade solutions, defining how AI agents augment teams, accelerate decision-making, and unlock entirely new ways of working. You’ll operate in a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation, you’ll drive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact - someone who can design architectures for intelligent systems, while also building the relationships and momentum needed to scale them enterprise-wide. If you’re excited by the challenge of shaping how autonomous AI systems are safely and effectively adopted at scale, this is a chance to define the future direction of AI within a complex, evolving organisation. • Lead, grow, and deploy a multidisciplinary team of Forward Deployed AI Engineers across key business domains, • Allocate engineering capability across strategic initiatives based on business priority and impact, • Establish and embed best practices for agentic systems, AI workflows, LLM integrations, and AI-enabled tooling, • Drive a high-performance engineering culture focused on rapid iteration, reliability, and measurable business outcomes, • Act as the primary AI engineering partner to senior stakeholders across Product, Fashion, Supply Chain, Finance, Customer Care, Procurement, and Technology, • Translate complex business challenges into scalable AI solutions and prioritised delivery opportunities, • Shape and align AI roadmaps with domain leaders, identifying high-ROI automation and augmentation use cases, • Lead end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms, • Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models, • Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design, • Ensure AI systems are scalable, secure, observable, and cost-efficient, with robust evaluation and reliability frameworks, • Partner with platform teams to align with Azure AI strategy, governance, and enterprise engineering standards, while establishing scalable delivery and operational models, • Partner with functional leaders to support reshaping and evoling hybrid-human agentic organizations, • Our strong preference is for candidates to have exposure to working in a Retail environment., • Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems, • Strong hands-on expertise in AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design, • Track record of taking AI or advanced technology solutions from concept and prototype through to scalable production deployment, • Experience working at the intersection of engineering and the business—translating strategic goals into technical delivery, • Demonstrated ability to partner effectively with senior stakeholders and influence across multiple domains in a large, complex organisation, • Experience shaping roadmaps, prioritising work, and driving alignment across product, engineering, and business teams, • Strong stakeholder management and communication skills, with the ability to build credibility quickly and drive adoption of new capabilities, • Experience leading or contributing to enterprise transformation initiatives, particularly where new technologies are being introduced at scale, • Strong understanding of modern AI architecture patterns (e.g. LLM applications, orchestration, RAG, agentic workflows) and cloud-based delivery environments, • Experience working in cloud-first environments, ideally within Microsoft Azure (including Azure AI services), or equivalent platforms (AWS/GCP), with the ability to operate effectively in an Azure-aligned ecosystem, • Experience establishing engineering standards, delivery frameworks, and best practices within growing or evolving teams, • A track record of delivering measurable business impact through technology—balancing speed, quality, and commercial outcomes, • Experience operating in hybrid leadership roles that combine technical depth, delivery ownership, and organisational influence, • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 3 days a week in the office. It’s a rhythm that speeds up decision‑making, helps ASOSers learn from each other more quickly and builds the kind of culture where people can grow, create and succeed. Want to find out how we’re tech powered? Check out the ASOS Tech Podcast here show/6rT4V6N9C7pAXcX60kzzxo .Prefer reading? Check out our ASOS Tech Blog here asos-techblog. #J-18808-Ljbffr

Miista is looking for a senior operational, technical and commercial role with end-to-end accountability for Miista’s international digital trading channel, customer value and e-commerce execution. The successful candidate must be willing to travel to A Coruña (Spain) frequently. Lead Miista’s global e-commerce business as a high-performing, brand-right and commercially sustainable trading channel, connecting product, content, technology, acquisition and customer experience. You are an experienced and commercially driven E-commerce Trading Manager responsible for the performance and day-to-day trading of Miista’s international e-commerce business. This senior role sits at the intersection of trading, merchandising, digital operations, technology, performance marketing and customer experience. • Own and evolve Miista’s international e-commerce strategy, roadmap, annual budget, forecasts and trading plan in line with brand and business objectives., • Take responsibility for digital-channel revenue, contribution margin, conversion, average order value, stock productivity, customer acquisition, retention and lifetime value., • Lead the global trading calendar across product launches, seasonal moments, campaigns, promotions and market-specific opportunities, aligning stock, pricing, content, media and site readiness., • Identify growth opportunities across markets, customer segments, categories, devices and acquisition sources while balancing demand, inventory, margin and brand positioning., • Provide clear performance reporting, commercial insight, risks and recommendations to senior leadership., • Manage, coach and develop the in-house e-commerce administration role, setting clear priorities, service standards and operating rhythms., • Manage the in-house e-commerce commercial photography and videography team, ensuring product content is accurate, distinctive, timely and fit for every required digital format., • Manage the in-house trading and creative merchandising team, connecting commercial priorities with brand-right product presentation and storytelling., • Build efficient workflows for product setup, copy, imagery, localisation, pricing, approvals, asset management, quality assurance and go-live readiness., • Coordinate agencies, freelancers, platforms and technology partners, maintaining clarity over scope, budgets, delivery and performance., • Own digital merchandising, category presentation, product discovery, navigation, onsite search, recommendations and the end-to-end purchase journey., • Use trading data, customer research, behavioural analytics and structured testing to improve conversion without weakening Miista’s editorial and creative expression., • Improve site speed, usability, accessibility, localisation, checkout, payment options, delivery communication, returns and post-purchase engagement., • Partner with Retail, Operations, Finance, Merchandising, Production, Logistics and Customer Service to improve availability, fulfilment and e-commerce profitability., • Partner with external developer to action improvements, and set out the roadmap for ongoing site improvements., • Support Press and Wholesale with an accurate, current and brand-consistent digital catalogue, imagery, product information and relevant digital tools., • Manage the in-house and external-agency digital marketing programme across acquisition, retargeting and conversion, with clear commercial targets and brand guardrails., • Translate the brand and campaign strategy set with the Marketing and Branding Manager into channel plans, audiences, budgets, landing journeys, product priorities and measurable trading activity., • Challenge agency recommendations constructively and maintain transparency over spend, fees, attribution, incrementality, tests and learnings., • Lead structured experimentation across audiences, creative formats, messaging, offers, landing pages, merchandising and conversion journeys., • Connect media investment with product availability, market opportunities, CRM, the trading calendar and profitable customer growth., • Own the global CRM, retention and engagement strategy across email, SMS, loyalty and other relevant lifecycle channels., • Develop segmentation and personalisation based on customer behaviour, preferences, purchase history, engagement and predicted value., • Build lifecycle programmes spanning acquisition, onboarding, browse and basket recovery, post-purchase, reactivation, loyalty and advocacy., • Improve repeat purchase, retention, lifetime value and first-party data quality while protecting the customer experience from excessive promotional messaging., • Work with the Marketing and Branding Manager to ensure CRM reflects Miista’s brand voice, campaign narrative and community priorities., • Own the e-commerce technology roadmap and partner with Technology on analytics, consent management, product feeds, integrations, automation and platform development., • Establish reliable dashboards across funnel, channel, campaign, customer, product, market and profitability performance., • Advance attribution and incrementality practices beyond last-click and platform-reported results., • Lead technical and commercial requirements for SEO, structured data, product feeds, taxonomy, onsite search and discoverability in search, social, visual and AI-powered interfaces., • Evaluate technology and responsible AI applications for customer benefit, commercial value, scalability, operational efficiency and total cost., • Global e-commerce revenue, growth, contribution margin and delivery against forecast., • Conversion rate, average order value and progression through key funnel stages., • Customer acquisition cost, incremental marketing return and new-customer quality., • Repeat purchase, retention, CRM engagement and customer lifetime value., • Stock productivity, full-price sell-through and commercial effectiveness of digital merchandising., • Site speed, usability, accessibility, checkout completion and platform reliability., • Accuracy and timeliness of product content, catalogue readiness and campaign launches., • Delivery against budgets, roadmaps, tests and strategic priorities., • Significant experience in a senior e-commerce, digital trading, growth or digital commerce role, ideally within fashion, footwear, luxury, design, beauty or another brand-led consumer business., • A strong record of owning and growing an international e-commerce business with accountability for revenue and margin., • Deep understanding of digital trading, merchandising, acquisition, conversion-rate optimisation, CRM, retention and customer lifetime value., • Experience leading e-commerce operations and multidisciplinary internal teams, including product-content or creative-production functions., • Strong paid-media knowledge and the ability to lead or challenge agencies and specialists effectively., • Practical knowledge of e-commerce platforms, analytics, experimentation, product feeds, SEO, structured data and systems integration., • Experience managing budgets, forecasts, agencies, platforms and multiple concurrent workstreams., • Strong commercial judgement, technical confidence and the ability to translate data into decisive action., • Excellent stakeholder management, communication, prioritisation and people-leadership skills., • International experience and the ability to adapt global plans to local trading conditions and customer behaviours., • Experience with Shopify Plus or a comparable enterprise commerce platform., • Experience with Klaviyo CRM, customer data, personalisation, testing, analytics, product-feed and digital asset-management platforms., • Knowledge of privacy, consent management, accessibility and relevant UK and international e-commerce requirements., • Experience connecting online commerce with stores, pop-ups, events or wholesale environments., • Familiarity with responsible applications of generative AI in commerce and operations. Commercially accountable: Owns outcomes and understands the relationship between revenue, margin, investment, inventory and long-term customer value. Operationally excellent: Creates clear processes, anticipates dependencies and delivers reliably at pace. Technically confident: Understands platforms, data and integrations well enough to set requirements and make sound decisions. Customer-focused: Uses customer needs and behaviour to improve discovery, purchase and retention. Analytical and decisive: Uses evidence while remaining comfortable acting when information is incomplete. Brand-aware: Protects Miista’s distinctiveness while pursuing commercial performance. Collaborative: Builds alignment across creative, marketing, merchandising, operational and technical teams. Hands-on leader: Sets direction, develops people and stays close enough to delivery to raise standards. Designed in London — Made in Spain — EU Sourced and Produced Miista upends the exclusionary practices of the fashion industry to show how we’re actually living now. Over the last ten years we are proud to have built a brand that through craft, our community, the risks we’ve taken and a sometimesbizarre willingness to laugh at ourselves, has made an elegant commitment to the alternative. A dedication to the opposite thing. What does that mean? That we’re happy to sacrifice profit and to subvert problematic fashion trends for women to create a product that has personality in addition to aesthetic value. A product that knows women don’t really shop using the search words ‘pretty’ now. If we were your friend, Miista would be the odd one at school who grew up and got an attitude and a sense of confidence. You know when it’s a Miista. #J-18808-Ljbffr

Condé Nast is one of the world's most renowned media publishing companies, creating and distributing every type of media today, spanning print and digital publishing in all formats. With a portfolio of some of today's most influential brands, the company continues to grow its audience through a global operational and content infrastructure across its 12 owned and operated markets. Headquartered in New York City, the company's owned and operated markets include China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, UAE/Dubai, the U.K., and the U.S., with additional local license partners in over twenty additional markets across the globe. Lead brands include Vogue, The New Yorker, GQ, Architectural Digest, Condé Nast Traveler, Vanity Fair, Wired, Allure, Ars Technica, Bon Appétit, House & Garden, Pitchfork, Tatler, and Vogue Business. Location: London, GB Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, GQ, The New Yorker, Condé Nast Traveler, Allure, AD, Bon Appétit and Wired, among others. We are headquartered in New York and London and operate in 32 markets worldwide, with a footprint of more than 1 billion consumers across print, digital, video and social platforms. Condé Nast thrives on collaboration, and our teams come together in the office four days a week (Monday - Thursday). We value diversity of background, views and cultures. We celebrate people for their personal qualities, skills and contributions, recognising the power our brands have to influence and shape culture. The Condé Nast Business and Legal Affairs team is led by the General Counsel based in our New York HQ and is comprised of colleagues in London, New York, China, Europe, Mexico, India, Japan and Taiwan. Reporting to the Senior Counsel, Commercial and Licensing, you will collaborate with and deliver advice to our commercial and consumer revenue teams, with a particular focus on media and digital advertising deals, events, custom and branded content and consumer regulatory compliance. The purpose of the role is to support our revenue teams in delivering deals and resolving issues in a creative and commercial manner. • Support the commercial teams by drafting, reviewing and negotiating revenue generating advertising and marketing contracts including for traditional and programmatic advertising, talent agreements, competitions and giveaways, non-disclosure agreements, sponsorships and events/activations., • Advise on legal queries and contractual compliance relating to revenue deals for media and digital advertising and custom content across digital, print, video, social and experiential., • Negotiate our standard terms with advertising clients and talent agencies., • Manage legal documentation for events including venue agreements, talent, sponsorship and barter arrangements., • Interpret and advise on Conde Nast's Global Advertising Guidelines and their application to campaigns within the UK and the UAE., • Knowledge sharing with commercial teams and colleagues within the Business & Legal Affairs team including with presentations and training on advertising disclosures, the DMCC, CAP codes and ASA guidance, including requirements applicable to influencers., • Liaise and coordinate with colleagues handling production of branded content deals and events and develop workflows to maximise communication and efficiency., • Keep up to date with relevant legal and regulatory updates with a particular focus on consumer laws relating to advertising, marketing, AI and subscriptions., • Legally qualified in England & Wales with 2-4 years post qualification experience., • Strong experience in commercial contracts gained either in private practice or in an in-house role, preferably in the media sector. Experience with IP law is preferred but not required., • Ability to work independently in a fast paced environment, across US, UK and Middle East time zones., • Ability to present legal advice in a pragmatic, problem solving and commercial fashion., • Confident, self starter who welcomes the opportunity to develop strong relationships., • 25 days holiday (plus bank holidays) and extra days of annual leave if you move house or want to volunteer., • You'll have access to a competitive pension scheme, Bupa Private Healthcare, Season ticket loans and eye tests., • We offer a range of tools to support your wellbeing, including core hours, 10 remote days (from home or a country with a Condé Nast office location), access to our Employee Assistance Programme, corporate gym membership and cycle to work scheme., • We're a dog-friendly office, plus you'll enjoy discounts and magazine subscriptions, keeping you up to date with all things Condé Nast., • We encourage personal and professional growth through the Condé Nast Learning Hub, where you'll find an extensive portfolio of learning courses and training, available in local languages., • Our Employee Resource Groups provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics. #J-18808-Ljbffr

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We're looking for a Senior Machine Learning Engineer to join our Search & Recommendations team, where we're building the machine learning systems that help millions of customers discover products every day. Sitting within ASOS's Search & Recommenders area, the team is responsible for the recommendation, ranking and personalisation systems that sit at the heart of the customer journey. From surfacing the most relevant products and outfits to powering personalised shopping experiences, our work directly influences how customers discover and shop fashion on ASOS. You’ll work on large-scale machine learning systems that power experiences such as Similar Items, People Also Viewed and personalised customer journeys that adapt in real time. Leveraging signals from millions of customer interactions, we use recommendation systems, ranking models, deep learning and emerging AI technologies to connect customers with the products they're most likely to love. As a Senior Machine Learning Engineer, you'll play a key role in designing, building and operating production machine learning systems at scale. Working alongside Applied Scientists, Machine Learning Engineers, Software Engineers and Product Managers, you'll help turn innovative ideas into reliable, high-performing systems that deliver measurable customer and commercial impact. This is an opportunity to tackle challenging problems across recommendation systems, search, ranking, personalisation and deep learning, while helping shape the future of machine learning at ASOS. What you’ll be doing: • Work as part of a cross-functional team designing, building and improving machine learning systems that power search, ranking and recommendation experiences., • Collaborate closely with Applied Scientists and engineers to develop and deploy machine learning solutions that deliver measurable customer and commercial value., • Build, deploy and maintain batch and real-time machine learning models in production environments., • Contribute to recommendation, ranking and personalisation capabilities that support millions of customer interactions each day., • Continuously improve our systems, codebase and engineering practices while contributing ideas for new features and capabilities., • Support and mentor other engineers through coaching, knowledge sharing and technical collaboration., • Contribute to the team's technical direction and help evolve machine learning standards, best practices and ways of working across the wider ML community. We're interested in candidates who bring experience in several of the following areas. You'll likely be someone who enjoys combining strong software engineering fundamentals with machine learning expertise and is excited by the challenge of building reliable, scalable systems that deliver real-world impact. You may come from a recommendation systems, search, ranking, personalisation, deep learning or broader machine learning background. Most importantly, you'll enjoy solving complex technical problems, collaborating across disciplines and helping bring machine learning products from experimentation into production. • Experience applying machine learning and deep learning techniques in production environments., • Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models., • Experience working with distributed training infrastructure, GPU-based training environments and parallelisation approaches., • Strong understanding of software engineering principles, development lifecycles and MLOps practices., • Experience developing reliable, scalable machine learning systems in production., • Comfortable providing technical leadership, mentoring and support to other engineers., • Strong collaboration and communication skills, with the ability to work effectively across engineering, science and product teams., • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

We are Hiring! We have an exciting new opportunity at Scope for a Business Development Manager - Optics UK to join our team! We are looking for people who can connect their own personal vision and values into some of what we do at Scope. Our vision as a company is to become a leading force in Eyecare, with people at our core. The Compensation & Benefits for this role include (but not limited to): • Performance related bonus, • 24 days annual leave (pro rata)., • Healthcare allowance beginning post probation and increasing at 2 and 5 years service., • Pension contributions through Zurich beginning post probation and increasing at 2, 5 and 8 years service., • Company sick pay scheme, • Further Education policy, • Professional Membership This role involves representing Scope as a sales and business development professional within a defined geographical area. The Optics Business Development Manager is a field-based role, requiring a full UK driving license, covering a specified territory in the UK. South & Central London. The role involves acting as a point of contact on a local level for the customers of Scope in their varying roles. This role will be responsible for increasing market awareness of Scope's products and driving new opportunities and sales in Opticians. The role holder will detail our full Ophthalmic portfolio and focus on the Key Accounts in this sector. This role involves the delivery of marketing and business objectives, maximising the return on resources employed, and operating within the defined practices, ethics, standards and processes of Scope. BDMs work with some direction and supervision by management but are able to plan and implement their own activities with limited assistance. They are competent in the variety of activities within the role and may have limited involvement in project work. They will have a complete understanding of the Scope Product Portfolio to consistently and confidently work with customers. • Delivery of Business & Marketing Objectives: Effectively positions the Scope Dry Eye Product portfolio for the customers from both a clinical and commercial perspective., • To conduct sales calls with customers in Key Optical Accounts., • To focus all activities and promotional spend on target customers., • To use promotional materials in an appropriate fashion to support the selling messages for Scope as set out in marketing plans., • Uses strong commercial acumen to identify and develop opportunities within Key Accounts., • Applies a range of influencing, persuading and negotiation techniques to secure and maintain the Account., • Product & Market Knowledge: Have a detailed understanding of the marketing strategy for those promoted products., • Drives account strategy to be adopted in each account., • Takes personal responsibility for the development of Key Opinion Leaders (KOLs) in Optics., • Production of a Territory Plan on an annual basis whilst receiving guidance and direction from line manager., • To manage promotional budget effectively, and to maximise the return on investment by ensuring value for money., • To monitor performance versus objectives and update the line manager at an agreed frequency., • To conduct monthly analysis of sales and activity, including the integration of the OCE system to plan effectively., • Market Intelligence: To monitor the activities of competitors and feedback to the line manager and marketing department on a regular basis., • Team working: To liaise effectively with relevant third-party stakeholders to maximise commercial effectiveness. This will involve joint action planning ona regular basis., • To liaise with all Scope employees in a helpful and constructive manner as appropriate., • Self-Development: To construct a personal development plan with significant guidance from line manager and to take personal accountability for implementing this plan., • To take part in all company training activities, and to continuously strive to excel., • Maintains the OCE System in a timely and accurate fashion provide detailed information on account and customer activities and insights., • To maintain all company equipment in a good state always., • To complete all company administration in a timely and accurate fashion., • Understands and uses all Company systems and business processes effectively., • Business Planning & Time Management: Have an input to Key Account identification, and to then tailor all account plans in line with the account strategy adopted for eachaccount., • Customer & Account Focus: Uses company systems and processes to be as effective as possible in the role and support the broader effectiveness of Scope., • Maintain and develop strong product and therapy area knowledge for all Scope promoted products and competitors at all times., • Partners with customers to develop joint business plans highlighting revenue generating potential for their business., • Commercial Focus: To represent Scope in a professional manner in line with the company standards., • To develop and maintain good selling skills using the company adopted model, and to use these skills to maximise usage of Scope promoted products., • To conduct sales presentations to customers in a range of formats., • Product Promotion & Sales: Utilises marketing collateral effectively and provides feedback to the marketing team., • Responsible for the delivery of pre-set objectives on sales, activity and other metrics to grow the Scope brand and sales within the Optical market., • To develop and maintain good selling skills using Infinity the company adopted model, and to use these skills to maximise usage of Scope promoted products., • Administration & IT Skills: To proactively identify personal development needs or areas for improvement in performance and to approach the line manager for support., • To continuously seek to improve personal skills, knowledge and competencies to improve performance., • To proactively seek feedback from customers, colleagues and management on personal performance, and to act on development areas highlighted by their response., • To proactively seek to share best practice with colleagues to implement best practice., • To liaise effectively with Scope colleagues to maximise commercial effectiveness e.g. UK Optics Team, • Maintain an in-depth knowledge of the developments in the Optical arena., • To manage own time effectively and manage deadlines as appropriate without the need for management support., • To respond to requests from both customers, and Scope employees promptly., • To effectively prioritise and plan activities in advance, and to supply field visit forms to the line manager., • The jobholder will ideally possess a life science, technical or business degree., • The jobholder will be a pharmaceutical or medical devices sales representative with at least 3 years’ experience. They will ideally have experience in the Optical market., • Understanding of sales data – skills to interpret sales trends, handle collection, collation and use of data to assist in account and territory analysis/planning., • Understands and interprets substantial clinical information (disease and product) in a way that you will be comfortable interacting with professional customers on a peer to peer like level., • Competent in using Business Software e.g., CRM system, Expenses, Excel, PowerPoint., • Ability to work autonomously, and be capable of independently generating, prioritising and handling own workload, • Able to work in a fast, dynamic, multicultural and matrix structure. Drive, energy, maturity, and ability to work under pressure and deliver results., • The jobholder will require a full driving licence. Scope provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #J-18808-Ljbffr

Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, we're inspired by the opportunities to innovate and break boundaries. We're proud to play a part in protecting the world's democracies. And we're committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees globally, across 33 manufacturing sites in 12 countries we serve over 90% of the world's aircraft and engine manufacturers. There are no limits to where you can take your career. It's great to know you're making a difference to the future of aviation! Whatever part you play you'll be helping us deliver operational excellence to our customers. Based at our Luton manufacturing plant you'll do just that. Established in 1993, GKN Aerospace in Luton is a world leader in commercial and military ice protection systems and transparencies. Offering a full range of capabilities; design, analysis, testing, certification and manufacture of electro-thermal ice protection, military fast jet canopies and flight deck windows to over 20 programmes including: Boeing 787, Dreamliner, AgustaWestland, AW101, Eurofighter Typhoon and Lockheed Martin F-22 Raptor. Our customers include Boeing, Airbus, Lockheed Martin, Bell Helicopters, Textron, BAE Systems, Pratt & Whitney, Leonardo. Our Luton site is home to 370+ employees and onsite facilities including onsite parking, food hub and vending machines. The Luton Engineering & Technology team is focussed on developing product and manufacturing process technology related to aircraft ice protection systems, transparencies and coatings, and specialist structures for both civil and defence applications. We're looking for a Senior Materials Engineer with a strong non-metallic materials engineering background, to join our materials and test team to support the production and development of next generation composite aero structures, ice protection and transparency products. The role will be based in the Materials and Test (M&T) team within the wider Engineering and Technology department and report to the Functional Team Leader. The role as a Senior Materials Engineer will support the business and engineering team, with non-metallic, polymer materials science and processing knowledge and guidance. Concentrating on thin film coating technologies and transparency materials. The role will initially lead a transparency coatings validation project before moving onto site production support and material obsolescence projects. The role will require a knowledge of the interactions between processing parameters and material properties of Acrylics, Polycarbonates and Polymers, being able to guide new technology test plans and current production deviations. You will support the work of the business to establish safe working practices and necessary level of documentation. You will be involved with projects from the planning / assembly / instrumentation / commissioning phase though to successfully performing and reporting the test. You will also be responsible for providing specialist support to existing programmes within your field of expertise, helping to resolve manufacturing issues and supporting continuous improvement efforts. You will have a proven track record of leading and delivering technical work, with strong communication skills being confident working with a broad range of internal and external stakeholders, including non-technical audiences. • Development of manufacturing processes in relation to transparent polymer and adhesive materials, • Qualification of materials and processes to ensure they comply with the requirements, • Lead thin film polymer coatings projects, • Lead material obsolescence and REACh affected material replacement projects, • Interact with different levels of leadership across the business, reporting progress to senior managers and site leadership team., • Work closely with Principle Materials Engineer to effectively manage the Material Obsolescence process, • Collect inputs, related to a task and take it through an identified process to produce an output / deliverable adhering to quality and schedule requirements., • Exemplifying a safety-first mind-set and ensuring compliance with the GKN Aerospace Health, Safety and Environmental policies and standards., • Supporting production material related queries and issues, regarding re-life, testing and investigations., • Developing, optimizing and maintaining specifications and handbooks related to non-metallic polymers; ensuring they are compliant with all relevant customer, regulatory, and airworthiness requirements., • Preparing and defining tests/test plans; critical and systematic interpretation and analysis of test data, applying the outcome of tests for substantiation of specification changes., • Defining activities in a project-oriented fashion with identification of deliverables, milestones and associated planning., • Troubleshooting and production support on Materials Issues (e.g. Polymers and bonding)., • Interfacing with customers on a technical (M&T) level., • Maintaining contacts with suppliers regarding alternative/new products., • Integration into the wider, global engineering function, collaborating with other sites around the world., • Contribute to the development of GKN as a 'great place to work', aligned with the core principles - safe, innovative, open & honest, care & respect, and ownership. To help us make a difference, you'll bring your passion and talent for what you do along with the following skills, experience, qualifications and attributes: • Chemistry / Materials Science / aerospace engineering education, BSc / MSc level, • Knowledge of / experience in Polymer material science and processing, • Significant relevant experience within an industrial engineering discipline, preferably within an aerospace environment, • Experience with quality systems, specifications, standards, etc., with the ability to oversee the broader field, • Excellent reporting and project management skills; Good command of the English language, both verbally and in writing,, • Team player at all levels in the company, pro-active attitude, but also capable of acting on an individual basis and reporting back to the relevant parties within GKN., • Ability to plan work through formal project management processes, to ensure successful delivery of required outcomes., • You will have an awareness of aerospace certification requirements., • Knowledge of / experience in Transparent thin film coatings As Senior Materials Engineer you should have a broad interest in Aerospace engineering with a high level of understanding in non-metallic material technologies & testing and characterisation techniques. You'll be able to adapt to changing priorities to meet business priorities handling multiple enquires at once. Your proactive nature will enable you to understand and adapt to new technology areas quickly. Your good communication skills shall enable you to confidently engage with a wide variety of internal and external stakeholders, including operations and other business functions. The successful candidate should be adaptable in their approach to work, and be able to adapt to potentially dynamic priorities. As a Senior Materials Engineer, you will be naturally curious and seek to increase/deepen their own technical knowledge through study, collaborative working, hypothesis testing and experimentation. Note: Some GKN programmes are subject to regulatory restrictions which may impact certain nationalities. As part of the application process you will be asked to declare when applying for this role. The position requires UK National Security Vetting (UKNSV) Security clearance (SC) due to the nature and responsibilities of the work carried out. In order for us to obtain an SC you usually need to have been resident in the UK for a minimum of 5 years to current date (but we will assess each case individually). Once you're on board you'll get the following perks and benefits: • Competitive salary dependent on experience, • The opportunity to earn up to 15% bonus, • Industry Leading Pension Scheme = we'll match your contributions up to 8% on a 1 : 1.5 basis, • Life Assurance 8 x salary, • 185 hours holiday + bank holidays, • Income protection, • Shopping discounts, • Cycle To Work Scheme, • Employee Assistance Programme, • Virtual GP Clinic for you and immediate family, • Electric Vehicle (EV) salary sacrifice scheme (Insurance, servicing, maintenance, roadside assistance and more included), • Free onsite parking, • Local gym discount, • Free airport parking, • Enhanced family friendly leave, • A collaborative, dynamic working environment As well as a competitive package we'll offer you a world of opportunity. We want to see your career fly! We'll support your career progression by providing you with learning and development opportunities. That's the beauty of being part of a global business, once you're on board you never know where you career journey may take you! A Great Place to work needs a Great Way of Working Everyone is welcome to apply to GKN. We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles we've created a culture where everyone feels welcome to contribute. It's a culture that won us ‘The Best Workplace Culture Award'. By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work. We're also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know. We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology. ? ? JBRP1_UKTJ #J-18808-Ljbffr

Senior Surveyor When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Become a Senior Surveyor at Bloor Homes and you'll become part of something truly special. Using your previous house building QS experience, excellent communication and negotiation skills, you'll drive cost efficiencies on-site, facilitating the continued development of quality affordable homes. No two days will be the same with a diverse range of tasks including collating tender information, preparing cost breakdowns, managing payments and drafting budget estimate summaries. But what could be better than that? We'll also support you with great benefits, training and career progression. Start your bright future with us today and the opportunities are endless. We are recruiting for an experienced Senior Surveyor to join our Southern Region, based in Newbury, RG14 . Our Surveyor's play a vital role within with our ambitious yet friendly, family-owned company. At Bloor Homes you'll be given the autonomy to oversee the full spectrum of costs on a development because just like us, we know you bring an uncompromising commitment to excellence to all that you do. Our ability to deliver quality homes at an affordable price is closely linked to tight budget controls on-site, making your role central to the success of the business and the reputation of the brand. MAIN DUTIES Preparing sub-contract/supplier enquiry lists for approval. Preparing full enquiry packs and collating all tender information, ensuring fully compliant tender packs are issued, return tenders are analysed and compliant bids received. Preparing tender comparison sheets, including making recommendations for placing sub-contract orders and negotiation with sub-contractors to ensure full compliance with specification and best practice. Liaising with the Design & Technical Department to prepare full enquiry packs for the tendering of utilities to ensure the most cost effective solution for the site. Overseeing Surveyors in producing groundwork and roads and sewers tenders and tender analysis to ensure full compliance with drawings and specification. Preparing detailed breakdowns of build costs including infrastructure costings and include within New Site Start Appraisal (NSSA). Ensuring new sub-contractors are on the SMAS database and that the certification is up to date. Carrying out drawing take-offs and producing labour only rates in liaison with the Commercial Manager and Construction Department including maintaining the database and distributing information. Liaising with the Design & Technical and Construction Departments to ensure correct materials are procured in the required time frames that are both cost effective and aesthetically correct. Preparing Material Schedules as required ensuring regional targets for production are maintained. Updating/producing SWMP and Carriers Matrix including updating Licence Numbers and expiry dates and issue to site as necessary. Registering sites for Hazardous Waste Premise Code and CLAIR as necessary and liaise with Commercial Manager/Director and Construction Department. Ensuring sub-contractor weekly and monthly applications for payment are analysed, checked and interim payments are prepared for approval in line with Authorisation Levels and Commercial Procedures, including keeping payment record sheets up to date, highlighting any claims for additional works outside of the budget estimate summary and settling all final accounts expediently after works are complete. Issuing variation instructions and contra charges as appropriate. Pricing up non-standard client extras as required and liaising with the Commercial Manager/Construction Department to ensure costings are correct. Updating Cost of Sales in Viability Manager for client extras, after re-budgets and valuations. Carrying out monthly progress checklists for all sites and inputting on to the valuation system including MOS. Carrying out monthly valuation including production of Cost Value Reconciliation (CVR) and Cost to Complete Sheet (CTC) and attending the Valuation Meeting. Liaising with the Housing Association, including producing invoices and H & S pack as required and attending all necessary site meetings. Liaising with the Design & Technical Department over specification for Code for Sustainable Homes and producing schedules and back up information as required. Carrying out Land Viability Analysis and liaising with the Commercial Manager/Director/Design & Technical Department as required. Producing the Group Rebate Form. Assisting the Commercial Manager as required in updating regional cost database. Liaising with the Design & Technical and Construction Departments on the invoicing of BT rebates. Liaising with Construction/Sales and Head Office to ensure the timely introduction of phone lines etc. Liaising with Customer Care to enable invoicing of Housing Association Retentions in a timely fashion. Regularly attending sites, a minimum of twice a month, to provide assistance and support to site staff, including meetings with sub-contractors as required. Attending meetings that may be necessary in the performance of your duties. Complying with and upholding company policies and procedures. Undertaking any additional tasks as may reasonably be required from time to time. Maintaining all health and safety aspects associated with Covid-19. ESSENTIAL SKILLS / ATTRIBUTES Must hold a Full UK Driving Licence. Experience of building construction in a quantity surveying role. A degree in Quantity Surveying. Experience of building construction in a quantity surveying or project managing role. Good negotiating skills with excellent time management skills. Computer literate. Ability to work to tight deadlines. COMPANY BENEFITS Company Car, iPhone and Laptop Bupa Health Care cover. Scottish Widows Pension Scheme. 25 days holiday entitlement (plus bank holidays) Group Staff Discount at Triumph Motorcycles ltd. Competitive discount on our homes (dependent upon the property and location). If you feel this vacancy could be your new career path, click 'apply now' to forward an up-to-date copy of your CV. TPBN1_UKTJ

Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new. Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . We're hiring a Data Engineer to work on the Data Platform at Depop. This team owns Kafka and streaming infrastructure, the bronze data lake layer, and event tracking and sessionisation and is building out the next generation of streaming frameworks that will underpin how the rest of the business ingests and processes data. This role sits within the Data Enablement and you'll partner closely with Data Infrastructure and Analytics Engineering on the boundary between Bronze and Silver, and with ML and Insights, who depend on low-latency streaming data for features and experimentation. • Build and maintain services in our Kafka Connect and streaming pipeline, including the kafka-forwarder and changelogs-processor, under the guidance of senior engineers., • Contribute to extending the bronze streaming layer across Depop's growing table catalogue, working from well-scoped tickets through to production rollout., • Help implement data contracts and freshness checks on streaming datasets, and build the quarantine/alerting that keeps bad data out of downstream consumers., • Take part in the team's support rota, helping other teams onboard new events and troubleshoot streaming issues., • Write clear documentation and contribute to design discussions, growing your judgement on trade-offs like latency vs completeness and cost vs freshness., • Pair with senior engineers on more complex pieces of the streaming framework work, building towards owning larger pieces of it yourself., • Some experience building and operating production data pipelines, ideally including Kafka or another streaming/event-driven system., • Working knowledge of at least one of Scala, Kotlin or Python, and willingness to work across all three as the team requires., • Familiarity with data warehousing concepts (e.g. medallion architecture bronze/silver/gold) and an interest in data quality and freshness monitoring., • Comfortable working with Kafka Connect, schema registries, and distributed systems concepts, or keen to build that experience quickly., • A collaborative approach — this team works closely with Data Infrastructure, ML and Insights, and pairs regularly with senior engineers., • Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa, • Subsidised counselling and coaching with Self Space, • Cycle to Work scheme with options from Evans or the Green Commute Initiative, • Employee Assistance Programme (EAP) for 24/7 confidential support, • Mental Health First Aiders across the business for support and signposting, • Work/Life Balance: 25 days of annual leave with the option to carry over up to 5 days, • Impact hours: Up to 2 days of additional paid leave per year for volunteering, • Fully paid 4-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love., • Flexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options *role-dependent, • All offices are dog-friendly, • Family Life: For birth parent: 20 weeks of paid parental leave for full-time regular employees, • For non-birth parents: 12 weeks of paid parental leave for full-time regular employees, • IVF leave, shared parental leave, and paid emergency parent/carer leave, • Learn + Grow: Twice-yearly development chats and yearly performance reviews, • Learning budget, • Upskilling our employees with company-wide training workshops, materials and resources, • Your Future: Life Insurance (financial compensation of 3x your salary), • Pension matching up to 6% of full base salary with Aviva, • Depop Extras: In-office Depop Shop (that’s free!) and a packing station with free delivery., • Special milestones are celebrated with gifts and rewards! Want to learn more about life at Depop? We share life at Depop updates on our LinkedIn page, and you can also keep an eye on all our job opportunities on our careers page. #J-18808-Ljbffr

Orbital is an AI-first industrial company building hardware from the atoms up. Our goal is to lead an industrial renaissance to advance critical technologies and secure our planet for generations to come. We’re starting with critical hardware for AI data centers to make them more performant and sustainable. Every Orbital product is invented with our AI platform — uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital means working in tightly integrated, vertically integrated teams. We’re looking for people who have a love of physical technology, curiosity in AI and a desire to learn. Orbital’s internal AI software platform, Curie, is used by our materials scientists, hardware engineers and manufacturing engineers to design and build our products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation. As a Backend Engineer at Orbital you will design, build and operate the core systems powering Curie. You will work across the full backend stack: APIs, data pipelines, graph databases, event-driven architectures and the infrastructure that connects our AI models to the tools our scientists and engineers use daily. An example of a feature you might build is a unified context graph across materials, engineering and manufacturing data for our AI agents. First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale. Build and operate core backend systems Design and implement APIs, services and data pipelines that power the Curie platform, with a focus on reliability, performance and clean abstractions Build and maintain integrations between our AI models, scientific tools and internal workflows Own the full lifecycle of backend features from design through deployment, monitoring and iteration Drive engineering quality Write well-tested, maintainable code and contribute to a culture of high engineering standards through code review, documentation and technical discussion Improve system observability, reliability and performance — instrument, monitor and optimise the systems you build Make pragmatic technical decisions that balance speed of delivery with long‑term maintainability Collaborate across the team Work closely with ML researchers, product engineers and domain experts (materials scientists, hardware engineers) to understand their needs and translate them into robust backend solutions Contribute to architectural decisions and help shape the technical direction of the platform Share knowledge, mentor peers and help establish best practices as the team grows Backend engineering experience with strong programming skills Proven experience designing, building and operating backend systems in production — APIs, data pipelines, event-driven architectures or similar Strong fundamentals in at least one backend language (e.g. Python, Go, Rust, Java/Kotlin) and comfort working across the stack when needed Experience with databases (relational and/or graph), message queues, caching layers and cloud infrastructure A track record of shipping and iterating on software that real users depend on, with a strong sense of what makes systems reliable and maintainable The ability to reason about system design, data modelling and engineering trade-offs — and to communicate these effectively An ability to debug complex distributed systems through meticulous attention to detail, structured investigation and carefully chosen instrumentation A genuine interest in building software that enables breakthrough scientific and industrial applications Upon reading Hamming’s You and Your Research, you resonate with quotes such as: "Yes, I would like to do first-class work" "You should do your job in such a fashion that others can build on top of it, so they will indeed say, 'Yes, I've stood on so and so's shoulders and I saw further.'" "Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class" Bonus: Previous experience working in an AI/ML environment, familiarity with the workflows, tooling and pace of AI teams is a real advantage. Experience with graph databases, knowledge graphs or scientific data platforms. Experience with infrastructure-as-code, containerisation (Docker/Kubernetes) or CI/CD pipelines. Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process. We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process. As a Senior AI Engineer, you will be part of the AI Platform team, helping to build and scale the shared foundations that enable AI capabilities across ASOS. The primary focus of this role will be contributing to the Agentic AI Platform initiative, alongside other core AI platform capabilities as the platform evolves. This role is focused on the platform layer, rather than individual business use cases. You will design and implement shared capabilities, standards, reusable templates and reference implementations for agentic AI on Azure, enabling engineering teams across ASOS to safely design, deploy and operate AI agents at enterprise scale. Working closely with Product teams, Cloud Infrastructure, Security and engineering teams, you will help establish the patterns and capabilities that make AI secure, observable, reliable and reusable by default. You will also contribute to the production foundations needed to operate AI capabilities reliably, including LLMOps, model access patterns, prompt and agent lifecycle practices, evaluation, observability and secure enterprise integration. This is a hands‑on engineering role where the capabilities you build will be used by other teams across ASOS, helping to establish consistent engineering practices for building and operating AI at scale. • Designing and building shared AI platform capabilities on Azure, with a strong focus on agentic AI patterns such as agent runtimes, orchestration and tool integration, • Contributing to the Agentic AI Platform initiative, helping define how agents are built, integrated and operated across the organisation, • Designing and maintaining standardised templates, reusable components and reference implementations for LLM and Generative AI workflows, enabling engineering teams to adopt consistent patterns, • Building reusable patterns for prompt design, tool calling, multi‑step agent flows, retries and failure handling, • Helping establish engineering standards and best practices for production AI development across ASOS, • Implementing secure, governed access patterns for LLMs and enterprise tools using APIM, platform gateways, Entra ID, RBAC and managed identities, • Contributing to LLMOps and model runtime patterns, including standard approaches for model access, routing, caching, token optimisation and cost‑aware usage controls, • Supporting lifecycle and evaluation practices for agent configurations, prompts and AI workflows, including testing, controlled change and release readiness, • Designing secure tool‑access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration, • Contributing to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback loops, • Contributing to reliability patterns for production AI systems, including latency monitoring, alerting, scaling considerations and operational readiness, • Applying CI/CD and software engineering best practices to AI platform and agentic components, • Embedding observability by default, ensuring AI systems are measurable, debuggable and auditable through logs, metrics and traces, • Working with Cloud Infrastructure and Security teams to design secure, scalable and cost‑effective Azure environments, • Working with other engineering teams to enable adoption of the platform, helping teams move AI capabilities from experimentation into reliable production, • Significant experience as an AI Engineer, AI Platform Engineer, Software Engineer or similar, delivering production‑grade AI systems, • Hands‑on experience with LLMs, Generative AI and agent‑based systems in real‑world production environments, • Experience building reusable AI capabilities, platforms, frameworks, templates or services that can be adopted by other engineering teams, • Strong understanding of the end‑to‑end AI lifecycle, from experimentation through deployment and operation, • Practical understanding of production LLM or GenAI runtime concerns, such as model access, routing, caching, token usage, cost optimisation and reliability, • High proficiency in Python, with experience building APIs and service‑oriented systems, • Experience working with CI/CD pipelines, automated testing and versioned deployments for AI or platform components, • Practical experience with observability tooling (logging, metrics, tracing and alerting) and using telemetry to improve reliability and performance, • Hands‑on experience working with Azure cloud and AI services, • Experience with Azure AI Foundry is preferred, but we are also open to candidates with strong hands‑on experience using comparable GenAI or agent platforms and the ability to apply those patterns within Azure, • Experience with Azure API Management (APIM) is preferred, particularly as a governance or integration boundary, • Familiarity with AgentOps, MLOps or GenAIOps concepts, including monitoring, evaluation and feedback loops, • Experience establishing or contributing to engineering standards, reusable patterns or best practices for AI development, • Strong collaboration skills, with the ability to influence platform standards and enable other engineering teams, • A pragmatic, engineering‑led approach to responsible and ethical AI, with a focus on safety, reliability and trust BeneFITS' • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the‑moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

ASOS.com in London is seeking a Senior Machine Learning Engineer to join the Search and Recommendations team, building the next generation of AI-powered fashion experiences. You'll design, deploy and operate production ML systems powering outfit discovery, personalisation and intelligent product experiences across the customer journey. You will collaborate with ML scientists, software engineers and product managers, delivering scalable ML solutions and mentoring teammates. #J-18808-Ljbffr

• Design and implement scalable, high-performance backend systems to power our e-commerce experience., • Build and maintain interfaces that support our frontend, mobile, and third-party integrations., • Be very experienced working with pull, push models for data parity between third parties and our systems around e-commerce concerns of product, stock, orders and fulfillment synchronization., • You’ll design, implement and deploy reliable software to solve complex e-commerce concerns., • Architect systems for membership access, catalog management, checkout, order fulfillment, and payments., • Collaborate cross-functionally with product, design, and data teams to deliver features that elevate the user experience., • Own backend services end-to-end, from design to deployment and monitoring., • Contribute to best practices in code quality, testing, reliability, and observability., • Help define our backend architecture and make strategic technical decisions as we scale., • Mentor junior engineers and foster a culture of technical excellence and collaboration., • 8+ years of experience building and scaling backend systems in production environments., • 4+ years leading Ruby cloud stack teams as a Principal Engineer/Architect., • You are very familiar with the Ruby object model - eigenclasses, method dispatch, method_missing, send, and all variable types., • Expert skills with Ruby idiomatic patterns, terse styling, metaprogramming and be able to create macros, DSLs, etc., • Have experience contributing to wildly used gems or developed internal DSLs for domain specific needs., • Ruby without Rails - you are able to develop complex applications and deploy Rails features vs custom Ruby plugins for the right use cases., • Proficiency in building APIs and distributed services using Ruby., • Must know the full ins/outs of Rails AREL, performant code, and proper Sidekiq job handling., • Have expert knowledge of proper data model design for e-commerce concerns and understand how to handle locking sensitive resources such as a credit card charge and concepts such as state machines., • Expert experience with PostgreSQL, including complex joins and reporting queries, and familiarity with data modeling and performance optimization., • Familiarity with cloud infrastructure (e.g., AWS, ECS, CodeBuild) and containerization (Docker,)., • Strong understanding of system design, data structures, and algorithmic principles., • Comfortable working in high-growth, early-stage environments—bias toward action and strong product sense are key., • A collaborative teammate who communicates clearly and is excited to shape the future of a luxury tech brand., • Prior experience in e-commerce, marketplaces, or membership-based platforms., • Familiarity with event-driven architectures and message queues (Kafka, SQS, etc)., • Experience working closely with design or product teams in consumer-facing companies., • Passion for fashion, luxury, or retail innovation., • Opportunity to play a key role in shaping the future of the company., • Collaborative and innovative work environment., • Career growth opportunities in a fast-growing organisation. #J-18808-Ljbffr

The ORDRE Group is a collective of fashion technology businesses reshaping how luxury brands, retailers, and consumers connect. Driven by digital innovation, the Group focuses on advanced imaging, product identity, and authentication solutions for the global fashion industry. Team members join a forward-thinking environment that blends fashion, technology, and data to solve complex industry challenges. Own the end-to-end experience of an AI image-generation platform for luxury fashion brands, from brand setup to approved on-model imagery. • Shape whole workflows, not just screens: brand setup, casting virtual models, product upload, packshot generation, review and approval. They'll map where users get stuck and simplify., • Design for AI that is slow, sometimes wrong and sometimes refuses: waiting states, retries, safety-filter blocks, confidence scores, and "the AI suggests, a person decides" moments., • Make AI feel guided, not technical: conversational flows like the casting brief, plain-language help, and turning jargon (colourway, ΔE, grounding, references) into words a merchandiser understands., • Own the words: errors, empty states and guidance copy. Every message should say what happened and what to do., • Run regular usability testing with real merchandisers, art directors and studio teams, plus quick AI-assisted walkthroughs between rounds. Turn the findings into prioritised fixes., • Evolve and govern the design system, which is a signed-off spec with tokens, components, and light and dark modes, keeping it restrained and editorial to suit luxury brands., • Design multi-role experiences: Administrator, Producer, Operator and the ORDRE visitor each see different powers on the same screens., • Prototype fast with clickable mocks before anything is built, and write specs precise enough for an AI-assisted engineering loop to build from directly., • Partner on output quality, helping define what "on brand" and "faithful to the product" mean visually, and how people judge and approve images., • Run a usability round on the full product-to-packshot flow and ship the top fixes., • Tidy the design system and the message library., • Redesign one core workflow end to end, for example the batch packshots journey still to come., • 5+ years in product design, with complex B2B or workflow tools in the portfolio, not only consumer apps or marketing sites., • Shipped experience designing AI or ML features, especially generative ones, and their uncertainty., • Comfortable with design systems, accessibility (WCAG AA, keyboard and screen readers) and design tokens., • Able to work from evidence: usability tests, session observations, metrics., • Happy writing specs and acceptance criteria., • Self-directed in a small team, comfortable making calls and saying why., • Будет плюсом: A strong eye for luxury and fashion aesthetics; fashion, e-commerce or creative-production tooling experience is a big plus; Bonus if they can read React and Next.js, or prototype in code; Understanding of photography and e-commerce imagery: packshots, crops, lighting, retouching standards; Experience with brand-governance tools such as DAMs, PIMs or brand portals; Familiarity with EU data-residency and enterprise-procurement expectations from luxury houses, • Paris or London, hybrid, with regular travel to ORDRE offices and clients., • Compensation is competitive and set according to experience. #J-18808-Ljbffr

Coach is a global fashion house founded in New York in 1941. Inspired by the vision of Creative Director Stuart Vevers and the inclusive and courageous spirit of our hometown, we make beautiful things, crafted to last-for you to be yourself in. Coach is part of the Tapestry portfolio - a global house of brands committed to stretching what's possible. A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity. The Account Manager is responsible for maintaining and developing the Coach Wholesale business for Leather Goods in the United Kingdom, Ireland and Scandinavia. The Account Manager will act as the main point of contact for the brand and design and execute growth strategies for the region. • Develop and manage key and independent wholesale accounts across Northern Europe, building strong relationships through weekly or bi-weekly trade calls, tailored to each account's needs, • Managefour markets a year for Women's and Men's Leather Goods, designing and presenting assortment strategies tailored to each account, informed by performance and seasonal regional strategy, • Review the door allocation strategy and collect and process orders, • Track and present sales on a weekly and quarterly basis, highlighting key trends and challenges. Create action plans to reach sell-through targets, • Produce seasonal trade reports to highlight wins, challenges and opportunities, • Develop short and mid-term plans to meet targets, and designlong-term commercial plans for key accounts and commercial negotiations, • Support the Sales Managerwith regional strategies, including long-range planning, • Develop the distribution network across key and independent accounts, onboarding new accounts and prospecting in line with regional strategy, • Partner with the Wholesale Customer Service team to ensure the seamless execution of the full order lifecycle and conversion of the order book, • Build cross functional relationships with Wholesale Operations, Demand Planning, Finance, Store Construction, Wholesale Customer Experience, Marketing, VM & Production, • Owncommunication with Accounts Receivable on customers' payments, • Work with Finance on provisions, returns, staffing and terms, • Aligning with the regional strategy, work with the Marketing team on tailored plans for key accounts.Regularly liaise to ensure media plans align with trade activity and review the marketing spend or impact at account level, • Own seasonal and yearly OTB planning for accounts, • Conduct regular market visits and competitor analysis, producing feedback reports that identify growth opportunities, • Work with the Field team on floor training schedule, in-store recruitment and money mapping strategy, • Manage the end-to-end process for new store openings, coordinating with cross-functional partners. Support the Sales Manager with CAPEX & P&L, • Manage and update the client database where required, • Extensive experience managing a retail wholesale business portfolio, inclusive of bricks-and-mortar POS, • Strong sales driven mindset, highly analytical with an eye for detail and ability to translate data into actionable points, • Highly motivated and target driven, a self-starter able to independently manage time and workload effectively, • Proficient in Microsoft 365, including Excel & PowerPoint, • Strong organisational, time management and written and verbal communication skills, • A collaborative team player with strong passion and commitment, • Flexibility to travel in the UK/Europe as required, • Adaptable approach to business development, with the ability to respond quickly to changing business needs, • Ability to work under pressure in a fast-paced environment whilst maintaining a high level of accuracy Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK. • Hybrid working (3 days working from the office, 2 days remote), • Option to finish early on a Friday (Flex Fridays), • 1 Paid Volunteering Day per year and opportunities to volunteer with global projects, • Learning & Development opportunities, • Internal mobility & career progression, • Regular Social Events - Seasonal & Cultural, • Equity Inclusion & Diversity initiatives which include employee resource groups & regional inclusion council, • 25 days holiday in addition to bank holidays, • Annual Incentive Plan (company performance bonus), • Multi brand discount up to 50% off - Coach and Kate Spade, • Private Healthcare with health assessment (Bupa), • Bupa rewards - Financial wellbeing support and wellness discounts, • Private Dental Cover, • Free 24/7 support for family building, fertility and menopause with Maven, • Eyecare vouchers, • Employee Assistance Program, • Employer Pension Contribution, • Gym discount, • Interest free season ticket loan, • Cycle to work scheme At Tapestry, we are committed to building a diverse & inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that's ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team. Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Visit Tapestry, Inc . #J-18808-Ljbffr

We're looking for a creative visionary to join us as VM Manager on a fixed-term contract! We are looking for you to bring innovation and exciting ideas to brand projects and campaigns. The ideal candidate will have a proven track record in executing creative experiential VM with excellent project management skills. Key deliverables will be 'out of home' creative projects that deliver engaging experiences to customers and drive brand awareness, as well as commercial brand projects that drive revenue, underpinned by an always on category focus to drive growth. All contributions will align (both directly and indirectly) to executing the EU VM strategy. Collaboration and relationship building skills will be key to working closely with our internal global partners, external retail partners and suppliers, as well as colleagues of all levels across different teams in the business. • Set, drive and deliver the creative, experiential strategy in line with the broader EU strategy to ensure all experiential activity is strategically planned and designed to deliver against objectives., • Independent management of the creative process to ensure we deliver exceptional creative quality by translating global designs for EU specific projects through clear briefing, managing artworkers and feeding back creatively to bring flair to projects with care and attention to detail., • Execute innovative and world class experiential projects from ideation and design through to delivery in store, across and not limited to pop ups, promotional sites, brand launches, and even online. Projects will have strong impact, make meaningful connections with customers and drive commercial and brand success., • Lead as a brand expert be the EU regions brand expert, protecting brand image across all channels and online and within projects to ensure consistency and best image., • Own your CPA ensuring projects are on track and all stages accounted for, ability to give in depth project updates and manage expectations or flag where necessary., • Confident presenting designs / prototypes to management for approval to progress projects at critical stages, receive feedback and put into action., • Manage planograms and assortments across all experiential projects in collaboration with sales and marketing., • Creative trailblazer through collaboration and influencing stakeholders in the business to ensure the EU is first to market with best-in-class retail concepts that reflect our brand identity., • Build and maintain strong relationships internally with the wider EU team and our global partners across VM, SD, Brand, Legal and Procurement, as well as externally with retailers., • Engaging suppliers to ensure are working with the best partners, using the best production processes and materials to deliver quality projects., • VM budget contributor through forecasting your department stores NPD, experiential budget, recording spend, raising and tracking POs, monthly reviews and quarterly forecasting rounds you will always looking for cost efficiencies and ensuring spend is focused on the right thing, at the right time, in the right place., • Prop & stock management you will oversee the storage, movement and maintenance of the experiential VM kit., • Sustainability champion to positively impact Charlotte Tilbury - when we feel our most BEAUTIFUL, we conquer the world. We also need the world, OUR WORLD, to feel it's most beautiful too. To CARE for it. To be mindful and to make sustainable choices in all VM projects., • You will report directly into our wonderful Head of VM, EU., • You will work closely alongside the EU Marketing team, PR, Global, in region agencies; as well as cross functionally with the wider EU Function., • You have strong, demonstrable VM experience at a manager level in a similar role; ideally within Beauty/Retail., • High attention to detail and project management. Must be able to manage multiple projects simultaneously with short and long lead times to meet deadlines, with the ability to juggle different pressing priorities with ease., • Experience working with vendors and understanding of fabrication and production processes., • Ability to interpret the business needs and developing a concept/solution to suit their purpose., • You have experience with a range of design packages; Adobe (Photoshop, illustrator, indesign) + 3D sketchup (desirable). Microsoft powerpoint and Excel., • People focused - you are a strong and inspiring leader, with the ability to empower, coach and develop., • Experienced project manager with a commercial mind set being key, with a creative flair!, • Excellent collaboration and communication skills with forecasting and budget management experience, • Confident managing multiple stakeholders of all levels, you can influence with ease!, • Use innovation and creative disruption to redefine briefs and continue to disrupt the market. Ability to balance design, with operational needs and budget objectives resulting in exceptional designs and an improved customer experience., • An impressive portfolio and a passion for outstanding creative work., • Have a strong interest in fashion, cosmetics, retail and product., • You are a strong collaborator and work well in a fast paced environment; you can pivot with ease, bringing a positive attitude!, • An excellent communicator, you can effectively articulate your point of view and know how to build strong cross functional relationships., • You work well under pressure, you can ruthlessly prioritise and know how to influence up and work in an agile environment., • Have exceptional organisational and prioritising skills, with great attention to detail and is results-driven., • Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves, • We're a hybrid model with flexibility, allowing you to work how best suits you, • 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday, • Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey, • Financial security and planning with our pension and life assurance for all, • Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues, • Bring your fury friend to work with you on our allocated dog friendly days and spaces, • And not to forget our generous product discount and gifting! #J-18808-Ljbffr

Miista is looking for a London-based senior strategic and creative role accountable for global brand awareness, engagement, campaign delivery, community growth, and third-party media presence. Grow Miista’s global relevance and demand through a distinctive, connected brand strategy spanning campaigns, organic channels, community, press, earned media, partnerships and physical activation. You are an experienced and creatively ambitious Marketing and Branding Manager responsible for how Miista is understood, encountered and talked about around the world. This senior role sits at the intersection of brand strategy, campaigns, content, press, media, community and cultural activation. Your central mission is to build sustained awareness and meaningful engagement while converting Miista’s creative point of view into disciplined, globally coherent marketing programmes. You will set the narrative, lead the critical path and coordinate internal teams and external partners across owned, earned, shared and physical touchpoints, working closely with the E-commerce Trading Manager to connect demand creation with measurable commercial growth. • Own and evolve Miista’s global brand and marketing strategy, translating business ambitions into clear audiences, narratives, priorities, investment choices and measurable plans., • Define how campaigns, organic channels, community, press, earned media, partnerships and physical activity work together to build awareness, consideration, engagement and advocacy., • Protect and strengthen Miista’s positioning, distinctiveness, visual identity and tone of voice across markets and touchpoints., • Identify cultural, audience and market opportunities that can grow relevance without diluting the brand., • Present strategy, investment requirements, risks, progress and recommendations clearly to senior leadership., • Lead the global campaign calendar from strategic brief through launch and review, connecting product stories, cultural moments, editorial themes and market priorities., • Set campaign objectives, audiences, narrative, channel roles, creative requirements and success measures in partnership with Creative Direction and the E-commerce Trading Manager., • Own the cross-functional critical path, ensuring briefs, decisions, assets, approvals, partners, events and channel adaptations are delivered to a high standard and on time., • Coordinate local and global activity so campaigns feel coherent while remaining relevant to each market and community., • Run structured campaign reviews that combine brand, engagement, media and commercial learning., • Drive the global press and third-party media engagement strategy, building sustained relationships and relevance across fashion, design, culture and adjacent fields., • Own earned-media strategy and the operating plan for press outreach, editorial opportunities, product placement, interviews, features, seeding and cultural partnerships., • Set the brand narrative and strategic brief for third-party media activity, including appropriate brand-media partnerships, while the E-commerce Trading Manager owns performance-media execution and optimisation., • Manage PR, communications and specialist partners with clear objectives, target lists, budgets, deliverables and evaluation., • Ensure press, media and partners have accurate, timely access to brand materials, product stories and digital catalogue assets, working with E-commerce and Wholesale., • Track the quality, relevance, reach and sentiment of coverage, responding quickly to opportunities and reputational risks., • In partnership with creative direction, implement the creative strategy for Miista’s organic brand channels, including social (organic and paid), editorial and other relevant owned platforms., • Translate brand and campaign strategy into channel-specific narratives, formats, publishing rhythms and community interactions., • Partner with Creative Direction, Content, Design and e-commerce production teams to brief and develop distinctive, platform-native work rather than simply repurposing assets., • Maintain high standards of visual consistency, editorial expression, tone of voice, accessibility and cultural relevance., • Guide content planning through insight and experimentation while resisting short-term trends that do not serve the brand., • Own the global community-branding strategy and make community participation a pivotal element of brand and business growth., • Define priority communities, their motivations and the value Miista can create through dialogue, access, collaboration, storytelling and shared experiences., • Develop ambassador, creator, customer and cultural-network programmes that deepen affinity and generate credible advocacy., • Create listening and response practices that surface audience insight, emerging conversations, opportunities and risks., • Work with the E-commerce Trading Manager to connect community engagement with CRM, customer journeys and long-term value without reducing community to a sales channel., • Lead activations, brand initiatives and physical marketing across stores, pop-ups, events, installations, collaborations and culturally relevant formats., • Develop concepts and briefs that express Miista’s point of view, create participation and extend coherently into digital channels., • Own partner selection, scope, budgets, timelines, permissions, production standards and evaluation for brand activations., • Connect physical moments with press, creators, organic content, community and appropriate customer journeys before, during and after each activation., • Balance creative ambition with operational feasibility, commercial purpose and responsible use of resources., • Establish a global measurement framework for awareness, reach, consideration, engagement, earned-media quality, community health and brand impact., • Combine media, audience, cultural and customer insight to improve strategy, creative work and investment decisions., • Manage marketing budgets, agencies, freelancers and partners with clear accountability and transparent evaluation., • Build shared priorities and effective working practices across Brand, Creative, E-commerce, Retail, Wholesale, Merchandising, PR and Customer Service., • Create a culture of creative ambition, critical thinking, accountability and continuous learning., • Growth in global brand awareness, consideration, direct demand and audience relevance., • Quality, authority, reach and sentiment of press and earned-media coverage., • Campaign reach, engagement, effectiveness and delivery against the agreed critical path., • Organic-channel audience quality, engagement, content performance and brand consistency., • Community participation, advocacy, creator relationships and actionable audience insight., • Impact and quality of activations, partnerships and physical marketing programmes., • Contribution of brand activity to qualified traffic, customer growth and commercial outcomes., • Delivery against budgets, strategic priorities and global or local marketing plans., • Significant experience in a senior brand marketing, communications, integrated marketing or campaign role, ideally within fashion, footwear, luxury, design, beauty, culture or another brand-led consumer business., • A strong record of building a distinctive brand across international markets and multiple customer touchpoints., • Deep understanding of brand strategy, campaign development, organic social, editorial content, press, earned media, partnerships and community-led growth., • Demonstrable experience leading complex campaign critical paths from brief to launch and evaluation., • Strong creative judgement and the ability to translate a brand identity into effective, channel-appropriate work., • Established experience managing PR, media, creative, or specialist agencies and constructively challenging partners., • Experience creating activations, events, collaborations or physical marketing initiatives that extend into digital engagement., • Ability to connect brand and audience measures with customer behaviour and commercial objectives., • Experience managing budgets, partners and multiple concurrent global workstreams., • Excellent storytelling, stakeholder management, communication, prioritisation and leadership skills., • Cultural curiosity and the ability to balance global consistency with local relevance., • Experience within an independent, founder-led or creatively distinctive international brand., • Established relationships across relevant press, editorial, creator, cultural or industry networks., • Experience with social-listening, media-monitoring, audience-insight and brand-measurement platforms., • Experience integrating stores, pop-ups, wholesale partners or events into a global brand programme., • Understanding of digital commerce, CRM and performance marketing sufficient to build effective joint plans with trading teams. Protects distinctiveness and makes disciplined choices about where and how Miista should show up. Connects a clear long-term direction with original, culturally relevant execution. Turns ambition into decisions, dependencies, deadlines and high-quality delivery. Builds relationships and participation rather than treating audiences as passive reach. Understands how brand growth, demand, investment and customer value connect. Tracks shifts in fashion, design, media and behaviour with judgement rather than trend chasing. Creates alignment across creative, commercial, retail, wholesale and operational teams. Communicates clearly, raises standards and brings internal and external partners with them. Designed in London — Made in Spain — EU Sourced and Produced Miista upends the exclusionary practices of the fashion industry to show how we’re actually living now. Over the last ten years we are proud to have built a brand that through craft, our community, the risks we’ve taken and a sometimesbizarre willingness to laugh at ourselves, has made an elegant commitment to the alternative. A dedication to the opposite thing. What does that mean? That we’re happy to sacrifice profit and to subvert problematic fashion trends for women to create a product that has personality in addition to aesthetic value. A product that knows women don’t really shop using the search words ‘pretty’ now. If we were your friend, Miista would be the odd one at school who grew up and got an attitude and a sense of confidence. You know when it’s a Miista. #J-18808-Ljbffr

Studio Coordinator |North West London | Up to £32,000 DOE Hours: Monday to Friday, 9:00am - 5:30pm Working pattern: Studio-based, five days per week We're working with a fast-growing, product-led business looking to appoint an organised and proactive Studio Coordinator to join its in-house marketing and content team. This is a fantastic opportunity to become a key part of a busy, high-volume creative studio, working closely with two in-house photographers to deliver high-quality e-commerce and creative content. You'll take ownership of the studio's day-to-day operations, coordinating workflows, managing shoot schedules and ensuring projects are delivered efficiently, on time and to a consistently high standard. This role would suit someone who thrives in a fast-paced environment, enjoys bringing structure to creative processes and takes pride in keeping everything running smoothly behind the scenes. The Role As Studio Coordinator, you'll be at the heart of studio operations, ensuring people, products and projects are organised effectively to support the delivery of outstanding creative content. Your responsibilities will include: Overseeing the end-to-end studio workflow, ensuring projects progress smoothly and deadlines are met. Coordinating and scheduling shoots, managing the studio calendar and production critical path. Working closely with two in-house photographers to plan and deliver content efficiently. Managing product samples, stock tracking and asset accountability throughout the production process. Liaising with internal teams, including buying, merchandising and marketing, to align priorities and manage content requirements. Coordinating image workflows with external retouching agencies, ensuring assets are delivered to the required standards. Maintaining accurate file structures, version control and asset delivery processes. Booking models and freelancers, supporting casting and coordinating shoot requirements. Raising purchase orders and assisting with production cost tracking. Monitoring studio KPIs, including output, turnaround times and overall performance. Identifying opportunities to streamline workflows, improve processes and increase studio efficiency. Sourcing props, garments and other creative materials required for shoots. About You We're looking for someone who is highly organised, detail-oriented and comfortable managing multiple priorities within a fast-moving creative environment. You'll ideally have: At least two years' experience in a studio, creative production or similar environment. Excellent organisational skills, with the ability to coordinate multiple projects and deadlines simultaneously. Strong communication skills and confidence working with a range of internal stakeholders and external partners. A proactive, solutions-focused approach, with the ability to remain calm and effective under pressure. A hands-on, team-oriented attitude and a genuine willingness to get involved. A good understanding of creative production processes and studio workflows. Commercial awareness and experience working towards deadlines, targets and performance measures. A strong eye for product presentation, fashion and visual consistency. Confident IT skills and the ability to learn new systems quickly. Proficiency in Microsoft Excel, Word and PowerPoint. The Opportunity This is an excellent opportunity to join a growing business with a busy in-house studio producing a varied range of e-commerce and creative content, including still life, model and video shoots. You'll play an integral role in shaping the way the studio operates, bringing structure and efficiency to the production process while working alongside a creative team committed to delivering high-quality content. If you're an organised, driven individual who enjoys the balance of creative production and operational coordination, we'd love to hear from you. BH37669 TPBN1_UKTJ

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler,by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen. We’re home to the UK’s largest choice of properties and are the go-to destination for millionsof people planning their next move, reading the latest industry news, or just browsing what’s on the market. Reports to: Engineering Manager, Core Search The role At Rightmove, millions of people use our products at some of the most important moments in their lives. As a Senior Software Engineer II, you’ll play a key role in building the tools, systems and experiences that help keep the UK’s favourite property platform moving forward. You’ll join a collaborative, high-performing engineering community where autonomy, curiosity and continuous improvement are part of everyday life. Working closely with Product, Design and Engineering colleagues, you’ll help solve meaningful problems at scale, delivering software that is reliable, maintainable and loved by its users. We’re passionate about modern engineering practices, continuous delivery and building quality in from the start. Whether it’s shaping architecture, mentoring engineers or exploring new technologies, you’ll have the freedom and support to make a genuine impact. A note from your manager: Help millions of people find the right property faster. Join our collaborative Search team, where you’ll build intelligent, intuitive discovery experiences, experiment with new technologies, and shape how users explore and connect with homes they’ll love. What you’ll be doing • Building and evolving products using a modern technology stack including TypeScript, React, Express, Node.js, Kubernetes and GitLab, • Delivering high-quality software that can be released safely and frequently to production, • Partnering with Product, Design and Engineering teams to solve complex, real-world challenges, • Influencing technical direction and helping shape the work that goes into each sprint, • Designing scalable, resilient systems alongside Architects and Principal Engineers, • Contributing to engineering communities, standards and best practices across Rightmove, • Coaching and mentoring fellow engineers, helping others grow and develop, • Collaborating through code reviews and technical discussions to continuously improve quality, • Experimenting with new technologies and approaches that help us work smarter and deliver more value We’d love to hear from you if… • You enjoy solving complex technical problems and finding simple, elegant solutions, • You’re passionate about software quality and advocate for testing and automation, • You have strong experience with React, TypeScript and modern web application development, • You care about performance, scalability and creating great user experiences, • You’re comfortable influencing technical decisions and driving engineering excellence, • You enjoy mentoring others and helping teams succeed together, • You’re naturally curious, always looking to learn and improve, • You take ownership, value collaboration and celebrate team success Our Approach to AI At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind. Despite our growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include: • Wecreatevalue… by delivering results and building trust with partners and consumers., • Wethinkbigger… by acting with curiosity and setting bold aspirations., • Wecaredeeply… by being real, having fun, and valuing diversity., • Wemovetogether… by being one team - internally collaborative, externally competitive., • Wemakea difference… by focusing on delivering measurable impact. We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 89% of Rightmovers saying we’re a great place to work , we’re clearly doing something right!** ** • Cash plan for dental, optical and physio treatments., • Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan., • 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes., • Contributory stakeholder pension., • Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life., • Competitive compensation package., • Paid leave for maternity, paternity, adoption & fertility., • Travel Loans, Bike to Work scheme, Rental Deposit Loan., • Charitable contributions through Payroll Giving and donation matching., • Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more., • We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. #J-18808-Ljbffr

This is a fantastic opportunity for Electricians with a minimum of a recognised Level 3 Electrical Installation Qualification to join Marshall Land Systems (https://marshalladg.com/) performing the assembly, installation and build of electrical systems and communication systems within deployable infrastructure containerised products based at their new site in Merthyr Tydfil (postcode is CF48 4DR). Assessment days are due to take place early September and there are contract and permanent roles available. 40 hours a week 7am - 4pm Monday - Thursday & 7am - 1pm Friday Core Responsibilities The role involves but is not limited to the following Electrical Build and Installation Manufacturing and installing electrical circuits and communication systems into mobile workspaces and various electrical products and equipment. Execute a range of wire-related tasks, including: Looming, Crimping, Braiding, Soldering, Wire cutting, preparation and termination, Cable identification, Fibre Optic installation Quality and Compliance Ensure all work complies with BS 7671 (IET Wiring Regulations), internal quality standards and standardisations. Follow company production procedures and engineering instructions precisely. Complete assigned work within the allocated time while maintaining accuracy and quality. Reference IPC-A-620 Requirements and Acceptance for Cable and Wire Harness Assemblies when installing cable harnesses and looms. Health, Safety & Environment Work in line with MADG Health and Safety Management Systems. Ensure a clean and safe working environment is maintained in accordance with 5S principles. Use all required PPE correctly and report any H&S concerns immediately to your Team Leader, Supervisor or Manager. Continuous Improvement Engage actively in continuous improvement activities, including Lean principles and 5S practices. Maintain organisation and efficiency within the work area to support productivity and compliance. Participate in production meetings when required to support communication and workflow. Administration & Communication Accurately log job bookings and progress using the IFS ERP system. Maintain documentation such as Build Record Cards required for traceability, quality control, and production tracking. Ensure all supplementary compulsive training is completed in a timely fashion Expectations and Standards Demonstrate a high level of attention to detail and commitment to delivering quality work. Operate as a collaborative member of the production team, supporting colleagues and contributing to team goals. Be adaptable to varying project requirements and flexible with tasks as directed by management. Proactively raise any issues that may affect quality, safety, or delivery timescales. Adhere to BS 7671 IET Wiring Regulations Understand IPC-A-620 Requirements and Acceptance for Cable and Wire Harness Assemblies Required Competencies A minimum of a recognised Level 3 Electrical Installation Qualification. Ability to interpret and work from engineering drawings, electrical schematics, and technical documentation. Proficient in electrical wiring and fitting techniques relevant to the role. Familiarity with working in a production or assembly environment with high standards of safety and quality. About Marshall Land Syttems Based in the UK, with operations in Canada, Marshall Land Systems specialises in the design and production of deployable operational infrastructure and mission support for humanitarian, defence and security operations across the globe. Other core services include the integraion of complex systems into a range of vehicles for use by the military and security services including explosive ordnance disposal and battlefield ambulances all underpinned by a full in-life managed service provision to ensure customers‘ equipment is available where and when they need it Recognising the RESTRICTED nature of the work suitable candidates will be baseline level (BPSS) clearable or eligible for this level of clearance TPBN1_UKTJ

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen. We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market. Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers. You’ll be joining our growing Data Engineering & Infrastructure team, a collaborative, high-performing group of engineers that uses this data to build the infrastructure that powers the UK’s favourite property site. In this role, you will take ownership of the systems and infrastructure that ingest, process, and serve data across Rightmove. You will be responsible for the infrastructure, tooling, and engineering practices that power our data ecosystem, including data ingestion, orchestration, storage, and the developer experience for data producers and consumers. You will bring strong hands‑on expertise to our GCP-based data platform, design reusable patterns and tools, write robust Python and SQL, and deploy infrastructure with Terraform, while influencing the standards and technical decisions that the wider data engineering team works to. As a Senior Data Engineer, you will be a technical leader and multiplier within the data platform team. You will own the infrastructure, frameworks, and internal tooling that power Rightmove’s data ecosystem. You will contribute to the technical direction for how data is ingested, processed, and served across the business, and consistently apply and promote engineering best practices that raise the quality of the team’s work. Join an inclusive and collaborative engineering culture where you'll work alongside talented engineers, tackle complex technical challenges, and continue to grow your skills. You'll leverage a modern GCP stack and apply your data engineering expertise to build products and services used by millions across the UK every day. • Define the technical approach to our most complex and ambiguous data challenges, setting direction where others would wait for clarity, making high-quality architectural decisions, and ensuring the right trade‑offs are made for the long-term health of the platform, • Own the end‑to‑end technical leadership of cross‑functional projects, from shaping requirements with product owners and domain teams through to delivery. Take accountability for outcomes, not just the engineering contribution, • Design and build data platform infrastructure and internal tooling, contributing to the architectural direction for how teams across Rightmove work with data, • Own the design and evolution of reusable batch and real‑time data ingestion and processing frameworks, ensuring they are reliable, scalable, and serve the needs of teams across the business, • Manage infrastructure, security and code deployment with Terraform and CI/CD pipelines, • Optimise performance, scalability, and cost efficiency of our data platform, • Champion engineering best practices across the team, including testing, documentation, and observability, share knowledge and support others through code reviews and technical discussions, helping raise the bar and embed standards in how the team works, • Partner with engineers, data scientists, and analytics teams to enable self‑service data workflows, acting as a technical enabler and setting the patterns others follow, • Has a strong track record of delivering significant impact in data engineering or data platform engineering, with deep experience building and operating large‑scale, cloud‑based data platforms, • Thrives in ambiguity, able to define the problem, identify the right technical approach, and drive complex cross‑functional projects to completion without needing fully formed requirements, • Is a strong Python and SQL engineer, with mastery of software engineering fundamentals, and is able to raise the standard across the team, • Has deep, hands‑on experience with GCP (or comparable cloud platforms) and managing infrastructure as code with Terraform, and can influence how the team approaches cloud engineering, • Has a strong track record of designing, building, and operating production‑grade data pipelines and real‑time processing frameworks at scale, • Has built and managed CI/CD pipelines for data and infrastructure, and can lead the team in adopting reliable, automated deployment practices, • Has a track record of raising the technical bar across the team through introducing better practices, leading technical reviews, and driving engineering improvements that outlast individual projects, • Has knowledge of GDPR and data security best practices, • Understands data storage, data modelling principles, best practices and tools (e.g. dbt), • Communicates with clarity and confidence, able to lead design discussions, articulate technical trade‑offs to non‑technical stakeholders, and build alignment across teams, • Is curious, self‑directed, and proactive, identifying problems before they are assigned, and drives improvements to the platform without being asked Our vision is to give everyone the belief that they can make their move. We aim to make moving simpler by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen. We're home to the UK's largest choice of properties, and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market. Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include: • Wecreatevalue…by delivering results and building trust with partners and consumers., • Wethinkbigger…by acting with curiosity and setting bold aspirations., • Wecaredeeply…by being real, having fun, and valuing diversity., • Wemovetogether…by being one team - internally collaborative, externally competitive., • Wemakea difference…by focusing on delivering measurable impact. We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right! • Cash plan for dental, optical and physio treatments., • Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan., • 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes., • Contributory stakeholder pension., • Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life., • Competitive compensation package., • Paid leave for maternity, paternity, adoption & fertility., • Travel Loans, Bike to Work scheme, Rental Deposit Loan., • Charitable contributions through Payroll Giving and donation matching., • Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more., • We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home‑based positions, different working arrangements apply - full details will be shared during the recruitment process. *As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.*At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success., We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. By applying, you confirm that you are aged at least 18 or over andthat you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process. Find Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you. We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions. At ASOS, machine learning is a core part of how millions of customers discover products, engage with our brand and shop every day. We're looking for a Senior Machine Learning Engineer to join our Customer & Martech team. In this role, you'll help build and scale machine learning products that support customer growth, marketing effectiveness, pricing and personalisation. You will work with some of ASOS's richest datasets, including customer behaviour, transactions, marketing interactions and product data, turning these into production-grade machine learning systems that deliver measurable value for customers and the business. Working alongside Applied Scientists, Data Engineers and Machine Learning Engineers, you'll contribute across the full lifecycle of machine learning products, from ideation and experimentation through to deployment, monitoring and optimisation. Whether improving customer retention, optimising marketing investment, supporting intelligent pricing decisions or helping build the next generation of customer experiences, you'll work on complex challenges at significant scale. • Design, build and operate machine learning systems that support customer engagement, marketing effectiveness, pricing and commercial decision-making., • Own the end-to-end engineering lifecycle of machine learning products, including data ingestion, feature engineering, deployment, monitoring and optimisation., • Productionise advanced machine learning solutions and ensure they operate reliably at ASOS scale., • Partner closely with Applied Scientists to translate research and experimentation into scalable production systems., • Help shape the future of our MLOps platform by contributing to engineering best practices, operational excellence and platform capabilities., • Build reusable tooling, frameworks and infrastructure that accelerate machine learning delivery and reduce operational overhead., • Influence technical direction and architectural decisions across machine learning products and platforms., • Mentor colleagues and support high standards of engineering quality, reliability and scalability. This is an opportunity to work on machine learning products used by millions of customers, leveraging rich datasets across customer behaviour, marketing, pricing and ecommerce. You'll collaborate with Applied Scientists, Machine Learning Engineers and Data Engineers to solve complex challenges at the intersection of machine learning, software engineering and large-scale data systems, while seeing the direct impact of your work on customer experience and commercial outcomes. You'll also help shape the future of ASOS's machine learning platform and engineering standards in an environment where machine learning is a core business capability. We recognise that people may not meet every requirement listed above. If your experience is relevant to the role and you believe you could contribute to the team, we encourage you to apply. • Experience building, deploying and operating machine learning systems in production environments., • Strong software engineering fundamentals, including expertise in Python and modern engineering practices., • Experience building scalable batch and real-time machine learning pipelines in cloud environments., • Strong understanding of MLOps principles, including model deployment, monitoring, CI/CD, observability and operational excellence., • Experience working with large-scale data processing technologies such as Spark., • Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost or similar technologies., • Experience designing reliable APIs, services and platforms that support machine-learning-powered products., • Ability to work through ambiguity and lead complex technical initiatives., • Experience in customer intelligence, marketing optimisation, pricing, forecasting or personalisation., • Experience building feature platforms, ML platforms or shared machine learning infrastructure., • Exposure to experimentation frameworks, causal inference or measurement platforms., • Experience mentoring engineers and influencing technical direction beyond your immediate team., • A track record of delivering machine learning solutions that generated measurable customer or commercial outcomes. What's in it for you? • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you. We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions. At ASOS, machine learning is a core part of how millions of customers discover products, engage with our brand and shop every day. We're looking for a Senior Machine Learning Engineer to join our Customer & Martech team. In this role, you'll help build and scale machine learning products that support customer growth, marketing effectiveness, pricing and personalisation. You will work with some of ASOS's richest datasets, including customer behaviour, transactions, marketing interactions and product data, turning these into production-grade machine learning systems that deliver measurable value for customers and the business. Working alongside Applied Scientists, Data Engineers and Machine Learning Engineers, you'll contribute across the full lifecycle of machine learning products, from ideation and experimentation through to deployment, monitoring and optimisation. Whether improving customer retention, optimising marketing investment, supporting intelligent pricing decisions or helping build the next generation of customer experiences, you'll work on complex challenges at significant scale. • Design, build and operate machine learning systems that support customer engagement, marketing effectiveness, pricing and commercial decision-making., • Own the end-to-end engineering lifecycle of machine learning products, including data ingestion, feature engineering, deployment, monitoring and optimisation., • Productionise advanced machine learning solutions and ensure they operate reliably at ASOS scale., • Partner closely with Applied Scientists to translate research and experimentation into scalable production systems., • Help shape the future of our MLOps platform by contributing to engineering best practices, operational excellence and platform capabilities., • Build reusable tooling, frameworks and infrastructure that accelerate machine learning delivery and reduce operational overhead., • Influence technical direction and architectural decisions across machine learning products and platforms., • Mentor colleagues and support high standards of engineering quality, reliability and scalability. This is an opportunity to work on machine learning products used by millions of customers, leveraging rich datasets across customer behaviour, marketing, pricing and ecommerce. You'll collaborate with Applied Scientists, Machine Learning Engineers and Data Engineers to solve complex challenges at the intersection of machine learning, software engineering and large-scale data systems, while seeing the direct impact of your work on customer experience and commercial outcomes. You'll also help shape the future of ASOS's machine learning platform and engineering standards in an environment where machine learning is a core business capability. We recognise that people may not meet every requirement listed above. If your experience is relevant to the role and you believe you could contribute to the team, we encourage you to apply. • Experience building, deploying and operating machine learning systems in production environments., • Strong software engineering fundamentals, including expertise in Python and modern engineering practices., • Experience building scalable batch and real-time machine learning pipelines in cloud environments., • Strong understanding of MLOps principles, including model deployment, monitoring, CI/CD, observability and operational excellence., • Experience working with large-scale data processing technologies such as Spark., • Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost or similar technologies., • Experience designing reliable APIs, services and platforms that support machine-learning-powered products., • Ability to work through ambiguity and lead complex technical initiatives., • Experience in customer intelligence, marketing optimisation, pricing, forecasting or personalisation., • Experience building feature platforms, ML platforms or shared machine learning infrastructure., • Exposure to experimentation frameworks, causal inference or measurement platforms., • Experience mentoring engineers and influencing technical direction beyond your immediate team., • A track record of delivering machine learning solutions that generated measurable customer or commercial outcomes. What's in it for you? • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

• Full-time We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you. We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions. At ASOS, machine learning is a core part of how millions of customers discover products, engage with our brand and shop every day. We're looking for a Senior Machine Learning Engineer to join our Customer & Martech team. In this role, you'll help build and scale machine learning products that support customer growth, marketing effectiveness, pricing and personalisation. You will work with some of ASOS's richest datasets, including customer behaviour, transactions, marketing interactions and product data, turning these into production-grade machine learning systems that deliver measurable value for customers and the business. Working alongside Applied Scientists, Data Engineers and Machine Learning Engineers, you'll contribute across the full lifecycle of machine learning products, from ideation and experimentation through to deployment, monitoring and optimisation. Whether improving customer retention, optimising marketing investment, supporting intelligent pricing decisions or helping build the next generation of customer experiences, you'll work on complex challenges at significant scale. What you'll be doing: • Design, build and operate machine learning systems that support customer engagement, marketing effectiveness, pricing and commercial decision-making., • Own the end-to-end engineering lifecycle of machine learning products, including data ingestion, feature engineering, deployment, monitoring and optimisation., • Productionise advanced machine learning solutions and ensure they operate reliably at ASOS scale., • Partner closely with Applied Scientists to translate research and experimentation into scalable production systems., • Help shape the future of our MLOps platform by contributing to engineering best practices, operational excellence and platform capabilities., • Build reusable tooling, frameworks and infrastructure that accelerate machine learning delivery and reduce operational overhead., • Influence technical direction and architectural decisions across machine learning products and platforms., • Mentor colleagues and support high standards of engineering quality, reliability and scalability. This is an opportunity to work on machine learning products used by millions of customers, leveraging rich datasets across customer behaviour, marketing, pricing and ecommerce. You'll collaborate with Applied Scientists, Machine Learning Engineers and Data Engineers to solve complex challenges at the intersection of machine learning, software engineering and large-scale data systems, while seeing the direct impact of your work on customer experience and commercial outcomes. You'll also help shape the future of ASOS's machine learning platform and engineering standards in an environment where machine learning is a core business capability. We recognise that people may not meet every requirement listed above. If your experience is relevant to the role and you believe you could contribute to the team, we encourage you to apply. • Experience building, deploying and operating machine learning systems in production environments., • Strong software engineering fundamentals, including expertise in Python and modern engineering practices., • Experience building scalable batch and real-time machine learning pipelines in cloud environments., • Strong understanding of MLOps principles, including model deployment, monitoring, CI/CD, observability and operational excellence., • Experience working with large-scale data processing technologies such as Spark., • Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost or similar technologies., • Experience designing reliable APIs, services and platforms that support machine-learning-powered products., • Ability to work through ambiguity and lead complex technical initiatives., • Experience in customer intelligence, marketing optimisation, pricing, forecasting or personalisation., • Experience building feature platforms, ML platforms or shared machine learning infrastructure., • Exposure to experimentation frameworks, causal inference or measurement platforms., • Experience mentoring engineers and influencing technical direction beyond your immediate team., • A track record of delivering machine learning solutions that generated measurable customer or commercial outcomes. What's in it for you? • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

Our mission is to make second-hand the first choice, and we’re looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania’s first unicorn! Today, our headquarters remain in Vilnius, and we’ve grown with offices across Europe, supported by a team of over 2,000 people. As Staff / Senior Staff Security Engineer in Vinted Pay, you will be the staff-level security engineer inside our regulated payments business - and the person who makes Vinted Pay’s security posture match its growth. Vinted Pay is a rare security problem in the best sense: a fintech scaling across multiple European licences at marketplace speed, where security cannot be a compliance checklist or an isolated engineering task - it has to be built into the core financial architecture. Its attack surface spans multi-region AWS infrastructure, payment pipelines and payment pages, wallets holding members’ money, the cardholder and personal data behind them, and a regulatory perimeter - PCI DSS, DORA, Bank of Lithuania and FCA rules - that rises every year. Working at staff / senior staff level as an individual contributor embedded in the Payments Engineering leadership team, you will own the security of that whole estate. Vinted Security runs a federated model: the central team sets thresholds and provides core services (pentesting, threat intelligence, SSDLC tooling, compliance), while each business unit owns local execution. Vinted Pay already owns part of its local execution; your job is to lead and scale it - this is not a policy or audit role, it is an engineering role with a mandate: translate regulatory requirements into technical guardrails and drive practical controls alongside Vinted Pay’s platform and software engineers. You will work directly with Vinted Pay’s Director of Engineering and functionally with the Vinted Security senior team and your security peers in Marketplace, Vinted Go, and Platform. This is a build role with room to grow: you start hands-on, closing the highest-impact gaps yourself and setting direction for the security work already under way, and as the function matures you will shape and functionally lead Vinted Pay’s security engineering capability. • Own the Vinted Pay security roadmap end to end: assess the estate, prioritise by real attack paths, and drive risks to closure - a multi-quarter roadmap that shapes how Vinted Pay defends its infrastructure and payment assets, rather than reacting to the next audit., • Turn regulation into engineering: map PCI DSS, DORA, and Bank of Lithuania and FCA requirements into practical, automated security controls and engineering guardrails - compliance as a by-product of how Vinted Pay builds, not a parallel workstream., • Find and close the operational blind spots: run deep technical reviews of our AWS infrastructure, payment pipelines, SIEM and logging, and vulnerability management tooling (e.g. Wiz), and fix what you find - prioritised by exposure, not by finding count., • Own PCI DSS and data protection architecture: payment page isolation, script monitoring, data encryption, and least-privilege access across multi-region environments - and turn those controls into evidence that stands up to assessors and regulators., • Lead cross-functional security initiatives across Payments Platform, Payments Engineering, and Group Security, and drive them to delivery - whether execution sits with partner teams or you have to write the code yourself., • Act as the technical arm of Vinted Pay’s security accountable: maintain the risk register, prepare mitigation-or-acceptance decisions against centrally set thresholds, and represent Vinted Pay in the group’s security governance., • Embed secure development into Payments engineering so security lands at design time rather than after deployment, and raise the security fluency of Vinted Pay engineers so risk-based decisions happen well without you in the room - security as a delivery enabler, not a gate., • Strong hands-on security engineering experience on a real engineering foundation - you have built or run large production systems, and you can threat-model a payment flow, find the attack path yourself, and drive or build the fix., • Experience in regulated payments or fintech - you have worked under PCI DSS and a financial regulator (FCA, Bank of Lithuania, CSSF, or equivalent) and know how their requirements become controls engineers actually run., • A staff- or principal-level track record - you have defined, led, and delivered major, company-wide technical initiatives, and you set security direction through software design on high-scale, distributed systems rather than from the outside., • The range to move across the four archetypes of staff engineering - tech lead, architect, solver, right hand - picking the one the domain needs together with the Director of Engineering, not the one you prefer., • A way of working that engineers respect: evidence over assertions, attack paths over checklists, guardrails over gates., • Demonstrated ability to influence without authority and translate technical risk into business consequence for senior audiences, internal and external., • Comfortable in our stack – Ruby on Rails, Go, MySQL, Temporal, AWS, SIEM and CSPM tooling – or eager to learn it, with a real interest in security and privacy as a field and the appetite to keep growing as an engineer and leader., • Excellent written and spoken English., • Advantage: experience building and running systems at massive scale (2+ million requests per minute), deep knowledge of observability tooling (Kibana, Grafana, Prometheus), and a passion for introducing new practices., • Advantage: AWS security depth (IAM, KMS, multi-account and multi-region architecture), or hands-on CSPM (e.g. Wiz) and SIEM engineering., • Advantage: privacy engineering experience, or offensive security background or certifications (e.g. OSCP). If this role excites you but you don’t tick every box, we’d still like to hear from you. • The opportunity to benefit from our share options programme, • 25 working days of holiday, • Newest MacBook models, • Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture, • Confidential Employee Assistance Program (EAP) for you and your family, • Comprehensive Medical Insurance, • Group Life and Income Protection Insurance, • A matched pension scheme up to a set limit, • Access to a discounted gym membership plan, • Lunch benefit per working day, • Frequent team-building events, • A personal monthly budget for shopping on Vinted Workation policy Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it’s 21 days worldwide. This can be combined with time off for vacation or personal time. Individual learning budget Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development. Hybrid work Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person. Equal opportunity We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match! The annual gross salary range for this position is: £97,800—£169,100 GBP #J-18808-Ljbffr

Knitwear Designer - High Street Fashion Retailer London An established and successful high street fashion retailer, renowned for its timeless menswear and womenswear collections, is seeking a talented Knitwear Designer to join its growing Design team. This is an exciting opportunity for an experienced designer with a strong background in womenswear knitwear to play a key role in shaping future collections. Reporting directly to the Head of Design, you will be responsible for the design and development of knitwear ranges, working closely with the wider Design, Product and Merchandising teams. Taking ownership of your product area, you will drive the creative direction of the category, ensuring collections are trend-led, commercially relevant and aligned with the brand's vision. Key Responsibilities: Design and develop commercially successful knitwear collections across womenswear. Research seasonal trends, yarns, stitches, techniques, colour palettes and trims to create innovative and customer-focused ranges. Produce detailed technical packs and specifications for supplier development. Work closely with Product teams throughout the development process, attending fit sessions and reviewing samples to ensure quality and fit standards are met. Manage product development in line with critical path deadlines. Liaise with overseas suppliers and factories regarding yarn sourcing, sampling, garment construction and production issues. Collaborate cross-functionally with Design, Buying, Merchandising and Technical teams to deliver commercially successful collections. About You: Previous Knitwear Design experience at Designer, Senior Designer or equivalent level within a premium, lifestyle or high street fashion brand. Strong technical knowledge of knitwear construction, yarns, gauges and manufacturing techniques. Proven experience creating detailed technical packs and design specifications. Experience working closely with overseas factories and suppliers throughout the development process. Excellent understanding of garment fit, construction and product development. Strong commercial awareness combined with a keen eye for trends. Excellent communication and presentation skills. Proficient in Adobe Illustrator, Adobe InDesign and Microsoft Office. The Opportunity: This is a fantastic opportunity to join a growing retailer during an exciting period of expansion. In return, the successful candidate will receive a competitive salary, excellent benefits package and the opportunity to contribute to the continued success of a well-established fashion retailer. BH36282 TPBN1_UKTJ

ASOS seeks a Senior Engineering Lead to build and lead its AI engineering team for FinTech and Fashion Tech. You will line-manage AI engineers, write code when needed, and own end-to-end delivery of production AI solutions that automate complex finance and commerce processes. You’ll work with central AI policy, drive architectural standards, and ensure scalable, secure implementations while mentoring engineers and collaborating with stakeholders across Finance, Commercial, Buying and #J-18808-Ljbffr

We are a collective of disrupters and doers, of creatives and scientists, with a mission to reimagine the world of beauty. Since inception, our vertically integrated structure, including our own laboratories, manufacturing, retail stores, and brand infrastructure, have enabled us to rapidly identify opportunities and deliver quality. Home to The Ordinary, NIOD, AVESTAN, and other emerging brands, our goal is to create with purpose. We were founded on the principle of doing everything that others don’t. Because normal gets you nowhere. We are DECIEM, The Abnormal Beauty Company. We are growing rapidly and we’re looking for someone who shares this vision and wants to grow with us! As the Global Product Marketing Manager at DECIEM, you will play an integral role in supporting the global team across all aspects of Product Marketing for NIOD, and with additional scope to work on The Ordinary. This highly varied role will see you managing NPD concepts, helping to shape new product launches, collaborating cross-functionally to bring products to market with unique, engaging propositions, and provide ongoing management support to our extensive portfolio. You will own and manage key Product Marketing resources and processes, while also cultivating close relationships with a wide range of functional partners, including R&D, Finance, Creative, Brand and Partnerships, to ensure timely and effective communication of product information across teams. • 5+ years of Product Marketing experience, ideally in global beauty or CPG, including product briefs and messaging strategies. Experience partnering with Legal and Regulatory teams., • Brief Creation, Approval and Presentation: Develop and present detailed, relevant product briefs to Senior Leadership, Global Brand, Regions, Creative and Packaging Design teams for each project., • Product Claims, Messaging and Positioning: Leverage a strong understanding of the beauty, skincare and wellness industries, partnering with Scientific teams to develop product positioning, packaging copy, clinical efficacy claims and other product copy, securing the appropriate Regulatory and Legal approvals., • Pricing and Cost Strategies: Partner with Supply Chain and Finance teams to approve target costs and final product pricing in line with portfolio and competitor benchmarks., • Packaging Approval: Provide Product Marketing recommendations and feedback to the Packaging and Scientific teams., • Global Brand Campaign Support: Support global campaign development as the Product Marketing lead, providing guidance on product positioning, claims and competitors where relevant., • Timeline Management: Own Product Marketing tasks within the wider project timeline, collaborating with Product Development & Launch Managers to confirm deadlines, provide status updates, and proactively communicate priority shifts and risks., • Product Sample Management: Manage the distribution and tracking of NPD product samples, ensuring timely availability for cross-functional teams in collaboration with Demand Planning, Production and Customer Experience as needed., • Product Data Management: Own the collection and communication of product data, maintain up-to-date files, and act as a point of contact for data-related enquiries., • Commercial Innovation: Support the development of Commercial Innovation strategies, including annual Holiday Sets lineups, regional feedback collection and reporting on previous sales performance. Transversal Portfolio Management • Lead ad-hoc approval and communication of new product claims and messaging for legacy NIOD and The Ordinary products; maintain key Product Marketing reference documents, including pricing spreadsheets, claims documents and process templates; support day-to-day and ad-hoc tasks; and analyse product performance metrics, including sales data, customer feedback and market share, to inform future product development and marketing decisions., • 5+ years of experience in a product marketing management or equivalent role, ideally with a global brand in beauty or CPG, with experience developing product briefs and messaging strategies. Experience working with legal and regulatory teams being an asset., • Strong ability to manage, initiate, and monitor simultaneous projects, including timeline tracking, solid organization, time management skills, and a successful track record in delivering results, meeting goals, and responding quickly to changing priorities in a fast-paced environment., • Strategic Thinking & Creative Capability: Self-starter who thrives on solving complex problems, writing a strategic brief from a blank page, and demonstrating a high level of business acumen, a future-thinking mindset, an unyielding curiosity, and an in-depth understanding of the beauty industry with knowledge of trends in other industries like fashion, health and wellness., • Excellent written and verbal communication skills, excelling at relationship development and management across diverse departments and differing levels of seniority, while being a confident public speaker and presenter of ideas in both large and small, casual and formal settings., • Showing a deep connection to DECIEM’s values of Kindness and Doing Good. There’s a lot of good stuff that comes along with being a DECIEM team member. Here’s a few of our favourite perks and benefits, in no particular order… • Generous Vacation, • Work from anywhere 4 weeks per year., • A hybrid work model (for applicable roles)., • Summer Friday’s - get off at 1pm all summer long! (for applicable roles)., • Unlimited access to an Employee Assistance Program that includes mental health care, mindfulness programs, and more., • A generous discount on DECIEM products for you, your family, and your friends. We are a People first company that lives by our core values to… • Play in the grey., • Be the rabbit. These values continue to guide us in all that we do. Along the way, we’ve been honoured to win some pretty incredible awards, including a CEW Achiever Award, Best Skincare Brand at Sunday Times Style Beauty Awards, and Most Popular Sustainable Brand by The Cosmetify Index Global. We’re still blushing! DECIEM’s objective is to build growth and do good things while prioritizing people, animals, and the Earth. Our Sustainability strategy is focused on fighting climate change, improved waste management, responsible packaging, responsible sourcing and product lifecycle, and water conservation. In 2020, DECIEM established the Good Fund to support both large and grassroots charities in response to global events. DECIEM is committed to diversity, equity, and inclusion (DEI) by creating meaningful, measurable change in the lives of our team members and in the communities where we operate. Achieving equality is critical to DECIEM and our future. You can learn more about our DEI commitment in our open letter, " Belonging is the Destination, Change is the Journey ". DECIEM is an equal opportunity employer. We prohibit discrimination based on age, colour, disability, national origin, race, religion, sex, gender, sexual orientation, and any other legally protected class in accordance with applicable federal, provincial and local laws. We are also committed to creating and maintaining an inclusive and accessible workplace. If you are contacted to be part of our recruitment process and require accommodation, please let us know. #J-18808-Ljbffr

Our Wimborne UK business unit is looking for up to 3 System Engineers to join their flagship development programme, supporting Rolls-Royce SMR. This opportunity is for someone who wants to be part of a once-in-a-generation programme for a UK-based engineering company to design, development, and deploy, reactor protection instrumentation of the highest safety classification for an international fleet of commercial nuclear reactors. As a Systems Engineer, you will operate as a key member of the project team bringing experience in safety/systems engineering to the team. You will also support bid work by scoping the systems engineering tasks for the proposed work. Location: Wimborne, UK • Supporting the safety/systems engineering aspects of projects, • Drafting and estimating the systems engineering aspects of bid work, • Applying appropriate systems engineering practice on project, • Generating and maintaining high quality systems documentation and gaining formal review approval for release, • Use of systems engineering tools for requirements management, design modelling etc, • Supporting representations of project systems engineering to the project or customer community, • Advising or mentoring less-experienced team members, including graduates or apprentices, on systems engineering matters, • Supporting other engineering or related disciplines as required, e.g. design, production or test, • Contribution to ongoing development and improvement of engineering/business processes, • Any other relevant duties as and when required, • Degree (or equivalent) qualified engineer, preferably in electrical/electronic engineering, • Chartered or Incorporated Engineer with membership (or working towards membership) of a relevant institution would be an advantage, • Experience of safety/systems engineering or design and in a safety regulated industry, • Knowledge of safety system design in accordance with IEC 61508 or similar safety standards (IEC 61513, IEC 61226), • Good knowledge of systems engineering processes, standards and methodologies (e.g., IEC 15288, UML), • Good knowledge of DOORS for requirements management, • Ability to communicate effectively across a broad range of technical and business disciplines within industry Our Values Environmental, Social and Governance Curtiss-Wright Wimborne, a Business Unit of Curtiss-Wright Nuclear, is a global engineering and design manufacture leader with just over six decades of experience designing for heavily regulated markets, such as nuclear, aerospace, oil and gas, and more. We develop sensors and instrumentation and control solutions for harsh environments and mission critical applications when safety and reliability matter. We focus on our customers’ success in every step of our process from sales engagement, quality, delivery, and customer service. Our customers trust us and know our commitment to safety is our top priority. Over 95 years of growth, Curtiss-Wright is an integrated, market-facing global diversified industrial company and remains a technology leader through this legacy of innovation. Through three well-balanced segments – Aerospace & Industrial, Defense Electronics and Naval & Power, we remain focused on advanced technologies for high performance platforms and critical applications. Diversity, commitment to excellence and dedication to the spirit of pioneering innovation continue to drive the employees of Curtiss-Wright. Our Values What makes a world-class organization? It all begins with core values that provide a strong foundation for success. Simple in theory, the values of Curtiss-Wright are reflected in every aspect of our operations. To our employees, these are more than words on a wall – we all take these values to heart in our relationships with our customers and each other. • Leadership We lead based on vision and strategic direction, empowering employees to reach goals through thoughtful and decisive action., • Customer Focus We are committed to achieving total quality by meeting our customers’ expectations and delivering products and services in a timely fashion., • Teamwork & Trust Working in a spirit of trust and collaboration, we actively encourage employees to contribute their ideas and innovations to keep our company moving forward., • Respect for People We believe that people are our most valuable asset and will always do the right thing in our dealings and interactions with all employees., • Integrity We will act with the highest integrity in all of our business relationships and strategic partnerships. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, sexual orientation, gender identity, physical or mental disability, age, ancestry, legally protected medical condition, family care status, marital status, religion, veteran status, national origin, or any other legally protected status. If you require accommodation during the recruitment process, please contact Talent Acquisition. For US Applicants: EEO is The Law – click here for more information. If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request. • Opportunity: As part of the Curtiss-Wright team, you have the opportunity each day to transform the way customers do business, as well as transform your career. Our entrepreneurial environment provides you with excellent experiences that enable you to develop your skills through stretch assignments and the opportunity to work with the best talent in the industry. You will have the opportunity to contribute from day one!, • Challenging Work: The work we do here is not only challenging, but it is meaningful to our customers, our employees and the communities in which they live and work. You are given the chance to work on some of the most advanced technology projects in the world. Now that something to be proud of!, • Collaborative Environment: The teamwork among our exceptionally talented people enables us to deliver some of the most advanced solutions to our customers. #J-18808-Ljbffr

We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS. Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences. You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers. Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS. • Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences., • Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes., • Deploy and optimise batch and real-time machine learning models serving millions of customers., • Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS., • Improve system performance, reliability, observability and scalability across the machine learning lifecycle., • Contribute to technical design decisions, architecture discussions and engineering best practices., • Mentor and support other engineers through coaching, collaboration and knowledge sharing., • Help strengthen technical practices across the team and the wider machine learning community at ASOS., • Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams. We're interested in candidates who bring experience in several of the following areas. We recognise that skills and expertise can be developed through a variety of experiences and career paths. • Experience designing, building and deploying machine learning systems in production environments., • Strong understanding of machine learning engineering principles and modern software engineering practices., • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar., • Experience training and optimising models using large datasets and distributed compute infrastructure., • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains., • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management., • Experience building reliable, observable and scalable services in cloud environments., • Comfortable providing technical leadership and mentoring other engineers., • Strong collaboration and communication skills, with experience working in cross-functional product teams., • Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products. We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We're proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND-01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. We are looking for a Senior CMF Designer to own colour, materials, and finish across our robot programmes. As the Industrial robot moves from Beta into Gamma production, CMF definition becomes a dedicated, full-time responsibility. Your primary focus will be the Industrial wheeled robot, covering tooling-ready specification, supplier management, and production sample governance. You will also contribute early CMF thinking to our other robot platforms as they develop at the early stages. You will be the first dedicated CMF hire at Humanoid, working within a multi-discipline Design Team across multiple robot platforms. • Own CMF direction across all robot programmes, from early concept through to production-ready specification., • Develop CMF strategy as an integrated part of the team's overall design direction; working with design leads to ensure material and finish decisions reflect and reinforce the product's broader design intent., • Develop and maintain material libraries, finish standards, and sample archives relevant to robotics manufacturing contexts., • Define and document CMF specifications with the precision required for engineering handoff, colour, texture, durability, finish codes specifications etc…, • Work closely with Industrial Designers, Fashion Designers and UX Designers to ensure material decisions reinforce, not contradict, the product's form language and functional context., • Collaborate with manufacturing partners and suppliers to validate material feasibility within programme timelines and cost envelopes., • Lead CMF reviews, presenting direction clearly to design leads and senior stakeholders., • Contribute to garment/soft goods material decisions where CMF and wearable design intersect., • Build the CMF process from the ground up ; standards, workflows, review cadences & governance., • A designer who treats material choice as a communication decision., • 7+ years of CMF experience, ideally with complex manufactured products: robotics, automotive, consumer electronics, medical devices, or industrial equipment., • Deep knowledge of materials, surface finishes, coatings, and manufacturing processes relevant to high-spec electromechanical products., • Experience producing CMF specifications for engineering teams, not just mood boards for stakeholders., • The confidence to defend a material direction and the rigour to back it up with process, technical trade offs and physical evidence., • Comfort operating in ambiguity as you'll be defining the function as much as executing within it., • Familiarity with soft goods or wearable materials is a plus, not a prerequisite., • Based in London, 5 days a week., • Competitive equity: stock options with meaningful upside as we scale., • 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown)., • Private healthcare, including virtual and in-person care., • Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings., • Free daily breakfast, catered lunch, and snacks in-office., • Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics., • Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one. #J-18808-Ljbffr

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. At ASOS, we're building the next generation of AI-powered Search and Discovery experiences for millions of customers worldwide. Our Search & Recommendations team develops the platforms, infrastructure and machine learning systems that power personalised product discovery, ranking, retrieval and recommendation experiences across ASOS. We operate high-scale production systems that enable data scientists and ML engineers to rapidly develop, deploy and monitor machine learning solutions in a reliable, scalable and cost-effective way. We're looking for a Senior Machine Learning Engineer - with strong Engineering experience - who enjoys solving complex engineering challenges at scale. This role is ideal for someone with a strong software engineering/MLOps, distributed systems or platform engineering background who wants to work at the intersection of machine learning and production infrastructure. As a Senior Engineer, you'll be responsible for designing, building and operating the platforms and services that enable machine learning models to be trained, deployed and served reliably across ASOS. You'll work closely with Applied Scientists, Software Engineers, Data Engineers and Product Managers to create the tooling, infrastructure and deployment frameworks that power recommendation systems, search relevance, personalisation and emerging AI applications. This is a highly engineering-focused role with an emphasis on cloud-native systems, platform architecture, automation, observability and operational excellence. • Design and build scalable machine learning platforms and infrastructure supporting model training, deployment and serving., • Develop highly available backend services that power recommendation, search and personalisation experiences for millions of customers., • Build and maintain CI/CD pipelines for machine learning and data products., • Design batch and real-time inference architectures using modern cloud-native technologies., • Improve reliability, resilience and performance across ML workloads through monitoring, observability and automation., • Build tooling and frameworks that enable data scientists and ML engineers to deploy models safely and efficiently., • Own production services, infrastructure and operational excellence practices, including incident management and root cause analysis., • Optimise distributed compute workloads and resource utilisation across cloud environments., • Drive Infrastructure-as-Code adoption and platform standardisation across machine learning systems., • Contribute to architectural decisions across recommendation, search and AI platforms., • Mentor engineers and promote software engineering best practices across the organisation., • Help shape ASOS's long-term machine learning platform strategy. We're interested in candidates who bring experience across modern software engineering, distributed systems and machine learning infrastructure. We recognise that expertise can be developed through a variety of backgrounds, including Backend Engineering, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, MLOps or Machine Learning Engineering. We'd love to see experience in several of the following: • Strong software engineering fundamentals with experience designing and building production systems at scale., • Experience developing distributed systems, microservices or high-throughput backend platforms., • Strong programming skills in Python, Java, Kotlin, Go, Scala or similar languages., • Experience building and operating services in AWS, Azure or GCP environments., • Hands-on experience with Kubernetes, containerisation and cloud-native technologies., • Experience implementing CI/CD pipelines and automated deployment processes., • Knowledge of Infrastructure-as-Code tools such as Terraform, Pulumi or CloudFormation., • Experience with monitoring, alerting and observability tooling., • Experience building reliable, resilient and scalable systems with a focus on performance and operational excellence., • Experience working with data-intensive systems, streaming technologies or large-scale distributed processing platforms., • Exposure to machine learning systems, model serving, feature stores, training infrastructure or MLOps practices., • Experience supporting recommendation systems, search platforms, personalisation engines or other customer-facing data products is advantageous., • Comfortable providing technical leadership, mentoring engineers and influencing architectural direction., • Strong collaboration and communication skills, with experience working in cross-functional product teams., • Experience supporting large-scale model training and inference workloads., • Knowledge of vector search, ranking systems, retrieval architectures or recommendation platforms., • Exposure to LLMs, Generative AI and production AI systems., • Experience building internal developer platforms, engineering enablement tooling or shared capabilities used across multiple teams., • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

Company DescriptionWe're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you.We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions.Job DescriptionOverview We’re looking for an Engineer - Endpoint Experience to join the Endpoint Experience team we are building within Workplace Experience, part of Digital Foundation. The team owns how ASOS manages its estate of employee devices (laptops, workstations, phones, and tablets): how security policy reaches every device, how changes are proven safe before they roll out, how applications are packaged and offered to ASOSers, how we measure whether the service works, and which devices we buy in the first place. ASOS is investing in endpoint engineering as an in-house capability. We want raising patch compliance, rolling out new tools to ASOSers (for example AI tooling for every employee), and evolving our device platforms to be routine engineering work we control end to end, rather than projects with long lead times. You will help build the foundations that make device management a product with version control, automated testing, staged rollouts, and clear metrics, and you will help evaluate the major device vendors and management platforms as we evolve our estate. This is a hands-on engineering role in a growing team. You will work with senior engineers who will support your development, and you will own meaningful pieces of the platform end to end: building pipelines, writing automation, packaging applications, running device evaluations, and instrumenting the metrics that tell us how we are doing. Our device management platforms today are Intune for Windows and Jamf for Apple devices. The role reports to the Engineering Manager for Endpoint Experience and works closely with Cyber Security, Developer Productivity, IT Support, Finance, and Procurement. The team is not a first-line support function: first response and device handover stay with IT Support, and servers are owned by Workplace Infrastructure (on-premises) and Developer Infrastructure (cloud). Purpose of the Role The Engineer - Endpoint Experience exists to help make the ASOS device estate secure by default, predictably reliable, and measurably good to use. Today, too much of what happens to a device between purchase and retirement is manual, slow to change, and hard to see. The team’s job is to make it engineered: every change versioned and reviewed, proven safe on a representative cohort before it reaches everyone, and visible in metrics that tell us whether employees are better off. Key Responsibilities Configuration & Compliance Build and maintain the pipelines that take device configuration and the security policy authored by Cyber Security as versioned code and deploy it through Intune and Jamf, and the automation that detects and reports drift Build and operate the automation that keeps patch compliance at the required level and reports it transparently Build and maintain endpoint security configurations and compliance baselines, implementing device controls defined by Cyber Security through Intune and Jamf. Build the device side of joiners-movers-leavers automation, from day-one provisioning to leaver device recovery and wipe Safe Change Build and operate the test harness that validates policy, OS, application, and configuration changes against representative device cohorts before fleet-wide rollout, including staged rings, health checks, and rollback, and keep those cohorts healthy and representative Measurement & Continuous Improvement Instrument device telemetry and build the dashboards that show service health, compliance, time to provision, change failure rate, support demand, and employee satisfaction Help run the regular cadence of employee feedback, investigate incidents and change failures, fix root causes, and feed learnings back into the harness and pipelines The ASOS App Store Package, test, and publish applications to the self-service catalogue and to automated deployments, keep them current with security updates prioritised, and retire software no longer needed or licensed Package and maintain the curated developer toolset with Developer Productivity, so that a new engineer’s machine is ready to build and ship on day one Automate repetitive packaging and update work so that employees can find and install what they need without a ticket Device Estate Governance Run structured evaluations of candidate devices with real users, collect performance, reliability, and satisfaction data, and write up the results Maintain device standards and employee personas, ensuring hardware, applications and device configurations remain aligned to business requirements, while supplying the data (device age, failure rates, cost) that informs lifecycle and refresh decisions. Cross-Functional Collaboration Work day to day with IT Support so that changes reaching the fleet are understood and supportable, and with Cyber Security engineers on translating requirements into tested device policy Share what you learn across Digital Foundation through documentation and demos What Success Looks Like Pipelines and automation you own running reliably, with runbooks others can follow, and your changes reaching the fleet through the harness with a low change failure rate Dashboards that colleagues across Workplace Experience and its stakeholders trust and use Applications you package reaching the fleet reliably, with employees able to self-serve rather than raise tickets Device evaluations that produce clear, evidence-based write-ups that inform purchasing decisions Visible growth in your ownership and technical scope over your first year QualificationsAbout You You have solid experience managing modern devices and want to move from operating tools to building the platform behind them. You are curious about how a fleet of devices can be managed like a production system, you enjoy automating things others do by hand, and you care about the people who use the devices you manage. AI assistants are a normal part of how you work, and you use them wherever they get you to a goal faster or better. You likely bring: Hands-on experience with Microsoft Intune or Jamf Pro, ideally both, managing Windows or macOS devices in an enterprise environment Scripting and automation skills in PowerShell, Python, or shell, and some experience with version control and CI pipelines, or a strong desire to apply them to endpoint management An understanding of how endpoint security controls, compliance requirements, identity, and conditional access translate into device configuration Experience packaging and deploying applications and OS updates, and dealing with what happens when they go wrong Comfort with telemetry and data: building a dashboard, spotting a trend, and explaining what it means Fluency with AI-assisted ways of working, and an appetite to keep learning what they can do Clear written communication, and the habit of asking why a process exists before automating it Why This Role Matters Every ASOS employee depends on devices that are secure, reliable, and stay out of their way. How we manage that estate determines how quickly we can respond to a new threat, how much time IT Support spends firefighting, and how much we spend on hardware. This role builds the foundations that let us move quickly on all three at once, with evidence rather than guesswork. We believe being together in person helps us move faster, align more effectively, and build stronger teams. Our approach to working together includes spending at least two days a week in the office to support collaboration, decision-making, and shared ownership. Additional InformationWhat's in it for you?Competitive salary, pension, and private medical care schemePerformance related bonusFlex benefits allowance - which you can chose to take as extra cash, or use towards other benefits25 days paid annual leave + an extra day for your birthdayEmployee discount (hello ASOS discount!)Tech Develops - our internal tech focussed skills development programme to focus on your personal growth as a technologistOpportunity to represent ASOS at industry leading eventsOpportunity to help shape and drive our DE&I initiatives in Tech (like our WIT movement and Diversity mentoring in Tech)Opportunity to make an impact from day one and work with the latest in cutting edge of technologySummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Retail

Womenswear Fashion Designer | London A brilliant new opportunity has landed with a highly reputable and established fashion business in London, and we're looking for a talented Womenswear Designer to join their creative team. This is a fantastic opportunity for a designer who has built a strong foundation within womenswear and is now ready to take the next step in their career. You'll be joining a supportive, collaborative team where there is plenty of scope to learn, develop and really make your mark across the product. We're looking for someone who is both creatively driven and technically strong - a designer who understands that great product is about so much more than just the initial idea. You'll be involved throughout the full garment development journey, from initial concept and sketch through to sampling and final product. Outerwear and tailoring experience is essential, alongside a strong understanding of garment construction and fit. The Role: Developing creative and commercial womenswear across the collection, with a strong focus on outerwear and tailoring Creating your own detailed tech packs and ensuring designs are communicated clearly to suppliers and factories Producing confident hand/digital sketches and clearly briefing factories on construction, details and how samples should be made Working closely with suppliers throughout the sampling and development process Taking ownership of designs from initial concept through to final production Considering every element of garment development, including construction, fabric, trims, fit and finishing Working collaboratively with the wider design and product teams to develop commercially relevant, high-quality product Contributing creatively to the direction of the wider womenswear collection About You: We're looking for a designer with a few years' industry experience who has developed a strong technical and creative foundation, but who is still hungry to learn and develop. You'll ideally have: Womenswear design experience, ideally within a fast-paced fashion environment Strong outerwear and tailoring experience Excellent understanding of garment construction and the full product development process The ability to create your own accurate, detailed tech packs Strong sketching and communication skills Confidence briefing factories and suppliers clearly and effectively A genuine understanding of what goes into making a garment, rather than being purely concept/creative focused A commercial eye alongside strong creative instincts Great attention to detail and a hands-on approach to product development A willingness to learn, take ownership and grow within a supportive team If you're looking for your next challenge and want the opportunity to really grow as a designer, we'd love to hear from you. 5 days on-site in London. BH37588 TPBN1_UKTJ

A fantastic new opportunity has become available for a commercial Ladies wear Jersey & Woven Designer for a leading supplier to major high street retailers to work on several of their key accounts across multi product ladies wear including casual bottoms. They are seeking an experienced, enthusiastic, and commercial jersey and woven fashion Designer with feminine young to mid-market handwriting. You'll need to be ahead on the trends, a good eye for colour and design, with a solid understanding of woven and jersey fabrications. Confident meeting and presenting to buyers Main responsibilities will include: Create seasonal mood & trend boards with the design team. Design seasonal capsule collections along with key shapes, colour palettes and fabric direction. Research and source new design ideas & fabrics/trims day to day. Design and develop commercial and fashion forward product for range and clients. Attend fabric fairs and inspirational shopping trips. Attend regular design meetings with Sales Manager and customer buying/design teams who you will be liaising regularly with. Daily liaison with with overseas production and merchandising teams in Bangladesh, China and India Person specification: Jersey and woven design background is essential. Experience designing for young to mid-market ladies fashion within a supplier environment Knowledge of working with China, India or Bangladesh production and Factories Commercially savvy with excellent on trend knowledge. Confident when attending customer meetings. Fully computer literate including Photoshop and Illustrator. TPBN1_UKTJ

I am delighted to be recruiting for my client, a leading UK fashion supplier to major retailers and supermarkets, across a diverse range of multi-product womenswear, covering both wovens and jersey . This position will lead the technical function, ensuring product quality, fit, construction, and compliance across all customer accounts. The role will work closely with design, merchandising, and production teams, acting as a key link between the technical and production teams to ensure clear communication and the smooth progression of product from development through to production. The successful candidate will also play an important role in developing and training more junior members of the technical team . The role will work closely with UK and overseas offices and factories to deliver commercially viable, well-executed products across a broad product portfolio. Main Responsibilities will include: Lead, manage, and develop the garment technology team across multi- Product including wovens and jersey Oversee fit, sealing, and product approvals in line with critical path timelines Provide technical expertise across a wide range of multi-product categories Act as a key link between the technical and production teams , ensuring clear communication and that technical requirements are understood and delivered Work closely with design, merchandising, and production teams throughout product development Conduct risk assessments on garment construction, fabrics, trims, and performance Improve and streamline internal technical systems, processes, and ways of working Maintain strong relationships with customers and manage fit meetings, comments, and feedback Resolve production and quality issues in collaboration with overseas teams and factories Ensure all products meet customer standards, brand manuals, testing requirements, and quality expectations Work closely with suppliers and factories to ensure technical standards are maintained throughout production Train, mentor, and develop more junior members of the technical team , helping to build their technical knowledge and confidence Travel to overseas factories when required to review capabilities, support development, and resolve production issues Person Specification: 10+ years' experience in a technical role within apparel, ideally gained within a fashion supplier environment Minimum 5 years' experience in a technical management role Strong experience across multi-product womenswear, including both wovens and jersey Experience working with major UK retailers and supermarkets, with a strong understanding of their technical requirements, fit, sealing processes, and quality expectations Strong understanding of garment construction, fabrics, fit, and manufacturing across different product categories Experience working with overseas factories and suppliers Excellent communication and interpersonal skills , with the ability to liaise effectively between technical, production, design, merchandising, and customer teams A natural leader who can mentor, train, and develop junior members of the team Experience with sustainable products and materials would be desirable Ability to work under pressure and manage multiple priorities to meet critical path deadlines Highly organised with excellent attention to detail Highly competent IT skills To be considered for this role, you must have the right to work in the UK and be based in the UK, with strong experience working with the UK fashion market and major UK retailers. TPBN1_UKTJ

Orbital is an AI-first industrial company building hardware from the atoms up. Our goal is to lead an industrial renaissance to advance critical technologies and secure our planet for generations to come. We’re starting with critical hardware for AI data centers to make them more performant and sustainable. Every Orbital product is invented with our AI platform—uniting AI‑automated hardware engineering with AI‑designed material science to achieve breakthrough real‑world performance. We have an ambitious mission and need excellent people in all our teams—AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital means working in tightly integrated, vertically integrated teams. We’re looking for people who have a love of physical technology, curiosity in AI and a desire to learn. As a Senior Machine Learning Engineer at Orbital, you will architect cutting‑edge AI systems for the multi‑scale design of physical technologies. When we say multi‑scale, we mean it: we build world‑class foundation models for simulating both the microscopic motion of atoms and the macroscopic flow of liquids in 1GW data centers. We then co‑design across these different scales using the ingenuity of our scientists and engineers, augmented with best‑in‑class domain agents. In this role you will set exceptionally high technical standards and drive projects from prototype through to production deployment. First and foremost, we want to work with someone who loves craftsmanship, continual learning, and building systems that scale. We also value low ego and a genuine passion for using AI to solve major global industrial technology challenges. • Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands‑on coding and technical review., • Design robust, well‑engineered systems that others can build upon, balancing research velocity with production requirements., • Drive technical decisions on model selection, training approaches and deployment strategies., • Develop and deploy AI solutions across the entire technology development pipeline—computational chemistry simulations, agentic workflows and beyond., • Rapidly upskill in new technical areas through close collaboration with domain experts (no prior chemistry or materials experience required)., • Demonstrate strong implementation skills through hands‑on development, contributing significantly to the codebase., • Balance research rigour with pragmatic engineering to deliver production‑ready systems at scale., • Design and implement novel ML architectures for complex scientific domains, with work that meets publication standards at top‑tier conferences., • Drive research projects from conception through to deployment, showing initiative and technical depth., • Engage continuously with the latest ML literature, staying current with developments in foundation models, generative AI and scientific machine learning., • ONE of:, • 5+ years of professional experience in ML/AI research or engineering., • A relevant PhD + 2 years of professional experience in ML/AI research or engineering., • Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment., • Strong engineering fundamentals with the ability to write high‑quality, maintainable code and architect robust systems., • A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade‑offs., • An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations., • A genuine interest in building AI systems that enable breakthrough scientific and industrial applications., • Upon reading Hamming’s You and Your Research, you resonate with quotes such as:, • "Yes, I would like to do first‑class work", • "You should do your job in such a fashion that others can build on top of it, so they will indeed say, 'Yes, I’ve stood on so and so’s shoulders and I saw further.'", • "Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class" Experience with physics‑informed or chemistry‑focused AI applications. Experience building or fine‑tuning large language models. Experience with agent‑based systems, tool use or agentic workflows. Contributions to open‑source ML projects or published research. Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise “data” is broad, that’s why we’re keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. • You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications, • Solve end to end data problems/opportunities at scale, • Contributing to solution architecture & design, • Working with our customers to take them on a journey to success bringing their data strategy to life, • Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions, • Contribute to internal initiatives such as; blogs, technical forums, • Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them, • Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production, • Worked with one or more cloud platforms and services (AWS, Azure, GCP), • Extensive hands‑on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation), • Software development experience with one or more languages (e.g. Python, Java, Scala, Go), • Pragmatic approach to solving problems, • Nice to have: keen interest in modern AI/ML techniques, • Fast-growing start-up organisation with huge opportunity for career growth, • Highly competitive salary package along with company bonus, • A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one!, • Financially backed business meaning security and support for new initiatives and global market expansion, • Pick your own Gear! Macbooks, PCs, Accessories!, • Drive your development with a personal learning budget #J-18808-Ljbffr

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS. Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences. You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers. Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS. • Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences., • Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes., • Deploy and optimise batch and real-time machine learning models serving millions of customers., • Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS., • Improve system performance, reliability, observability and scalability across the machine learning lifecycle., • Contribute to technical design decisions, architecture discussions and engineering best practices., • Mentor and support other engineers through coaching, collaboration and knowledge sharing., • Help strengthen technical practices across the team and the wider machine learning community at ASOS., • Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams. We're interested in candidates who bring experience in several of the following areas. We recognise that skills and expertise can be developed through a variety of experiences and career paths. • Experience designing, building and deploying machine learning systems in production environments., • Strong understanding of machine learning engineering principles and modern software engineering practices., • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar., • Experience training and optimising models using large datasets and distributed compute infrastructure., • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains., • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management., • Experience building reliable, observable and scalable services in cloud environments., • Comfortable providing technical leadership and mentoring other engineers., • Strong collaboration and communication skills, with experience working in cross-functional product teams., • Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products., • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS. Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences. You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers. Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS. • Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences., • Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes., • Deploy and optimise batch and real-time machine learning models serving millions of customers., • Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS., • Improve system performance, reliability, observability and scalability across the machine learning lifecycle., • Contribute to technical design decisions, architecture discussions and engineering best practices., • Mentor and support other engineers through coaching, collaboration and knowledge sharing., • Help strengthen technical practices across the team and the wider machine learning community at ASOS., • Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams. We're interested in candidates who bring experience in several of the following areas. We recognise that skills and expertise can be developed through a variety of experiences and career paths. • Experience designing, building and deploying machine learning systems in production environments., • Strong understanding of machine learning engineering principles and modern software engineering practices., • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar., • Experience training and optimising models using large datasets and distributed compute infrastructure., • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains., • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management., • Experience building reliable, observable and scalable services in cloud environments., • Comfortable providing technical leadership and mentoring other engineers., • Strong collaboration and communication skills, with experience working in cross-functional product teams., • Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products. We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We're proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler,by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen. We’re home to the UK’s largest choice of properties and are the go-to destination for millionsof people planning their next move, reading the latest industry news, or just browsing what’s on the market. Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site,and what this means to our customers. You’ll be at the centre of our analytics platform to help drive this, modelling and productionising high‑quality data assets inDBT on BigQuery, and maintaining the semantic layer to power the insights that will impact millions of users. Working closely with a highly collaborative and high-performing team of data engineers, analysts, and product teams, youwill help standardise metrics, elevate data quality, and enable self‑serve analytics so teams can move faster and smarter todrive real business impact. Ultimately, this role would suit an analytics engineer who’s ready to take ownership of building high-quality, well-documented data models, contribute to the development of a scalable analytics layer of a modern data stack, and helpshape how data is used across the UK’s favourite property site. What You’ll Be Doing • Model, build, and productionise robust data assets using dbt and BigQuery, • Maintain and evolve the semantic layer in Looker to support consistent, self-serve analytics, • Ensure data is transformed, tested, and of high quality before consumption by downstream users, • Collaborate with analysts, product managers, and engineers to understand requirements and deliver trusted data models, • Document and expose data assets in a way that is easy to understand and use, • Apply and advocate engineering best practices across analytics codebases, • Maintain the data catalogue and support a single source of truth for analytics, • Analyse workflows and collaborate with data engineers to improve performance and maintainability, • Be proactive in identifying opportunities to reduce complexity and cost across the data platform, • Participate in agile ceremonies, including sprint planning, refinement, and retrospectives We’re Looking for Someone Who • Has 3–5 years of proven experience in analytics engineering or data modelling, working on production-grade datamodels and semantic layers within a large-scale, cloud-based data platform, • Has hands‑on experience with dbt and understands modular data modelling best practices, • Is confident writing and optimising complex SQL queries in BigQuery (or Redshift/Snowflake), • Has experience working with Looker (Core) and maintaining semantic layers (LookML), • Has worked in a production environment where data models are used to power business‑critical reporting anddashboards, • Understands the importance of documentation, testing, and version control (Git) in analytics workflows, • Has experience working in a cloud‑native environment - GCP highly preferred, also AWS, • Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved andenjoys contributing to tech events, • Is proactive, communicative, and comfortable contributing to technical discussions and design decisions, • Brings a collaborative and curious mindset, and enjoys working in cross‑functional teams Despite our growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include: • Wecreatevalue… by delivering results and building trust with partners and consumers., • Wethinkbigger… by acting with curiosity and setting bold aspirations., • Wecaredeeply… by being real, having fun, and valuing diversity., • Wemovetogether… by being one team - internally collaborative, externally competitive., • Wemakea difference… by focusing on delivering measurable impact. We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 89% of Rightmovers saying we’re a great place to work , we’re clearly doing something right! • Cash plan for dental, optical and physio treatments., • Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan., • 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes., • Contributory stakeholder pension., • Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life., • Competitive compensation package., • Paid leave for maternity, paternity, adoption & fertility., • Travel Loans, Bike to Work scheme, Rental Deposit Loan., • Charitable contributions through Payroll Giving and donation matching., • Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more., • We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. #J-18808-Ljbffr

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS. Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences. You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers. Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS. • Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences., • Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes., • Deploy and optimise batch and real-time machine learning models serving millions of customers., • Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS., • Improve system performance, reliability, observability and scalability across the machine learning lifecycle., • Contribute to technical design decisions, architecture discussions and engineering best practices., • Mentor and support other engineers through coaching, collaboration and knowledge sharing., • Help strengthen technical practices across the team and the wider machine learning community at ASOS., • Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams. We're interested in candidates who bring experience in several of the following areas. We recognise that skills and expertise can be developed through a variety of experiences and career paths. • Experience designing, building and deploying machine learning systems in production environments., • Strong understanding of machine learning engineering principles and modern software engineering practices., • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar., • Experience training and optimising models using large datasets and distributed compute infrastructure., • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains., • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management., • Experience building reliable, observable and scalable services in cloud environments., • Comfortable providing technical leadership and mentoring other engineers., • Strong collaboration and communication skills, with experience working in cross-functional product teams., • Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products., • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr

We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter, and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. Join the team responsible for building the data and machine learning products that power customer experiences, marketing effectiveness and commercial decision-making across ASOS. As a Senior Data Engineer in our Customer & Marketing Machine Learning team, you will play a key role in developing the data foundations that enable machine learning models, pricing optimisation, customer analytics, media measurement and marketing decisioning at scale. The team brings together Data Engineers, Machine Learning Engineers and Applied Scientists to deliver end-to-end machine learning products that create measurable business impact. This is an opportunity to work with large-scale customer, marketing and commercial datasets, building robust data solutions that help transform how ASOS understands, engages and serves millions of customers. • Designing and building scalable data pipelines that support machine learning, analytics and data science initiatives., • Developing high-performance data solutions using Python, Spark, Databricks and Azure technologies., • Creating and maintaining datasets that power customer, marketing, pricing and forecasting use cases., • Collaborating closely with Applied Scientists and Machine Learning Engineers to operationalise machine learning models., • Designing data models and architectures that enable reliable, trusted and accessible data across the business., • Improving data quality, observability, lineage and monitoring capabilities across critical data products., • Supporting the delivery of media measurement, customer value, pricing and personalisation initiatives., • Optimising data processing workloads for performance, scalability and cost efficiency., • Driving best practices across software engineering, data engineering and platform development., • Providing technical leadership through design reviews, mentoring and knowledge sharing., • Working with stakeholders across Customer, Marketing and Commercial functions to turn business challenges into scalable data solutions., • Contributing to the long-term evolution of ASOS's machine learning and data capabilities. We're interested in people who can demonstrate many of the following capabilities. If your experience doesn't match every requirement exactly, we still encourage you to apply. You are likely to have: • Significant experience delivering data engineering solutions within cloud-based environments., • Strong expertise in Python and experience developing production-grade data pipelines and data products., • Experience working with Databricks, Spark and distributed processing technologies., • Experience designing and operating large-scale data platforms using Azure, AWS or GCP., • Deep understanding of data modelling, data architecture and modern data engineering principles., • Experience enabling data science, analytics or machine learning workloads through robust data infrastructure., • Strong understanding of CI/CD, Infrastructure as Code, automated testing and observability practices., • Experience working with large-scale customer, marketing, commercial or behavioural datasets., • Proven ability to lead the design and delivery of complex technical solutions from concept through to production., • Experience mentoring engineers and helping shape technical direction within a team., • Strong stakeholder management and communication skills, with the ability to partner effectively with technical and non-technical audiences., • A passion for solving challenging data problems and enabling teams to make better decisions through data.Experience supporting machine learning platforms, MLOps or model operationalisation., • Experience with pricing, marketing analytics, recommendation systems or customer analytics., • Experience working in eCommerce, retail or consumer-facing digital businesses., • Employee discount (hello ASOS discount!), • Employee sample sales, • 25 days paid annual leave + an extra celebration day for a special moment, • Discretionary bonus scheme, • Private medical care scheme, • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits, • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr