Retail jobs in London - Page 2Crear alertasSin experiencia

Hays are proudly working with one of the UK's most recognisable brands to help them find a retail design manager. As a key member of the experience design team, the Retail Design Manager will be r.

You know who you are, the kind of person who lives to see others happy.You may have walked a similar path before, but your spirit is ready for a role Front of House, where many things are happening at the same time.So, we hope youre up for bringing your spark and big smile to the newest addition to

Kick Start Your Sales Career: Entry Level Customer Sales Assistant - London (.Full-time equivalent availability required.Based in London, our client is currently recruiting bubbly and ambitious Entry Level Customer Sales Assistants with full-time availability, due to portfolio expansion and high cli

Youll also enjoy great responsibility while the Store Manager is absent, taking ownership of the store and leading by example to support your colleagues. Independently manage the store in the absence of the Store Manager. As a Deputy Store Manager at Lidl, youll be cool, calm and collected, getting

We are seeking an experienced Retail Manager to lead and develop our retail operations across five sites, including restaurants, coffee shops, vending, smart markets, and hospitality/events. Retail Manager - Watford. Lead multi-site retail operations, ensuring compliance with br

So what qualities does a Store Manager need to join KAUAI?. Maintains appropriate stock levels through ordering, receiving and rotation processes. Performs regular stock-take procedures and readily addresses variances.

Customer Sales Representative - Central London - Full Time Equivalent. Seeking a Sales opportunity but dont have enough experience?. Working in retail or sales but feeling held back by limited growth and earning potential?.

March 2026 in line with National Living Wage (applies to all, including those under the age of 21).Staff accommodation is available at a rate of £69.Are you looking for a fun and varied job in hospitality? YHA Grinton Lodge are looking for a Hos.

We strive to build a culture that respects and celebrates the unique talents, beliefs, backgrounds, and abilities of all our team members. We know that a friendly face makes all the difference, so we look for people who are passionate about delivering excellent customer service, at all levels, to

Full-time Team Member vacancy at GAIL's!.If you love interacting with customers daily and giving service with a smile, then please read on!.We are looking for Team Members who have a.GAIL’s family and want to learn more.With no day being the same, you must be.Team Member who is always on time and

Sales and Customer Service Associate - Immediate Starts Available (No Experience Required).

You will be the face of our store, ensuring every customer experience is fun, educational, and rewarding.

Joinus at Accor,wherelife pulseswithpassion!.

We are currently looking for a Sales Advisor who will report directly to the Sales Manager. Sales Advisor - Bexleyheath, London. Applicants should have demonstrable abilities of working within a customer service/sales environment and have a track record of achieving targets.

We are excited to be recruiting for a.Basinghall Ave, London EC2V 5DD.Monday - Friday 40 hours per week, 7:00am - 3:30pm.To invent and create menus that are in line with client and customer needs.To produce food in a timely fashion to ensure smooth service to the customers.To enjoy the food you prod

We are currently recruiting for a full-time Customer Service Team Lead position to join our Customer Experience team based at our Notting Hill offices. bloobloom was created to change the way people buy their glasses by rebuilding the entire experience. In a market populated by dinosaurs, we’re putting design and technology back at the heart of the process of buying a pair of glasses, making the journey fun and exciting without costing a small fortune. At bloobloom, we also want the right choice to be as easy as wearing a great pair of glasses. That’s why we only partner with ethical factories, are climate-neutral certified, and donate a pair to someone in need for every pair we sell. We love our customers and want to make a personal connection with everyone who reaches out to us. Beyond the statement, our team has the freedom and means to get creative and go beyond meeting basic customer expectations in each and every conversation. Our goal is simple. 100% WOW. If you have a cool personality and want to work with other awesome individuals for a great company this is the job for you! Key Responsibilities: • Answer customers' enquiries on all channels, including live chat, email, telephone, and social media platforms, • Demonstrate exceptional product knowledge as well as accurately explain features and benefits of bloobloom lenses and frames, • Oversee the complete lifecycle of orders and provide consistent after-sales assistance, • Be the voice of the customer and advocate for customer needs/issues cross-departmentally, • Be creative and constantly consider new ways to help us provide the best possible customer service, • Convert customers into bloobloom advocates Who You Are: • You’re a passionate people person and like engaging with customers, • You’re driven and self-motivated - you want to excel at what you do!, • You thrive in a multitasking environment and can organise your time efficiently, • You believe in understanding a customer’s pain, building value and solving problems, • You are a team player who works and engages with others to achieve results, • You are a strategic thinker and like to offer new ideas/solutions to improve things Essential Skills & Experience: • Relevant experience in a communications or customer-facing role, • Educated to university degree level or equivalent, • Fluent English speaker with exceptional verbal, written and general communication skills, • Comfortable in a digital environment, • Previous experience in the Optical industry would be a bonus Key Benefits: • Opportunity to join a fast-growing and ambitious startup, • Work with a friendly team of highly motivated individuals, • Exceptional scope for progression and development, • An environment where you are listened to and can actually have an impact, • Great West London location - 4 min walk to Portobello Road, • Spacious and modern offices, with excellent facilities, • Regular company socials and events, • Perks for employees and up to 10 family members and friends, • Free spectacles and sunglasses for you, and discounts for family and friends, • 22-day Holiday + Bank Holidays, • Competitive salary depending on experience Further Information: • Type of contract: Full-time, office-based, • Location: London, United Kingdom, • Working Hours: 40 hours per week, Monday to Friday

In return we offer an excellent work life balance, support and a fantastic company culture for a business committed to providing healthy food to pupils.At Pabulum, you're important; without our employees we wouldn't be where we are today with.

Join Us as Our First Strategic Merchandising Manager!. Strategic Merchandising Manager. You’ll share your expertise with our teams, training and inspiring them to deliver merchandising that wows our guests.

The Royal Automobile Club is an exclusive world-class private members club, with 2 stunning clubhouses in London and Epsom. The purpose is to increase and grow revenue from the Club Shops and Online ensuring the Club delivers a focused sales and marketing strategy to achieve budgeted revenues. Manag

Store Manager Designate - Dartford / Crayford Area - 39 Hours. Area Manager, and you will be working in one of several stores within the local area. A Designate role is a great way to experience working with different teams and different sized stores to develop your skills as a Store Manager.

This sales agent role involves representing a market leading Greek sock brand. This sales agent position allows you to.

Business Development & Sales Associate.

Zachary Daniels are delighted to be partnered with one of the UK's best performing fashion retailers.

Assistant Quantity Surveyor – Fast Paced Retail & Fit-Out. You’ll be part of a retail and commercial fit-out team delivering high-volume projects for major supermarkets, coffee shops, and restaurants. QS experience in retail, restaurants, commercial fit-out, or another fast-paced sector.

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities • Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML), • Build infrastructure to monitor model performance, data drift, and other key metrics in production, • Develop and maintain tools for model versioning, reproducibility, and experiment tracking, • Optimize model serving infrastructure for latency, scalability, and cost, • Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring, • Collaborate with data scientists to ensure models are production-ready, • Implement security, compliance, and governance practices for ML systems, • Support troubleshooting and incident response for deployed ML systems Required Skills and Experience • Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch, • Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer, • Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI), • Experience with CI/CD pipelines and automation tools such as GitHub Actions, • Understanding of monitoring and logging tools (e.g., NewRelic, Grafana) Desirable Skills and Experience • Prior experience deploying ML models in production environments, • Knowledge of infrastructure-as-code tools like Terraform or CloudFormation, • Familiarity with model interpretability and responsible AI practices, • Experience with feature stores and model registries

We are looking for a hands-on Garment Technologist to support a streetwear and sports-influenced apparel collection, with a strong focus on technical execution, fit, fabric choice, and commercial realism. This is a Watford-based, execution-led role, working closely with Design, Product, and Suppliers to ensure garments are right first time — on fit, cost, quality, and delivery. Key Responsibilities • Create, check, and manage tech packs, specs, measurements, and workbooks to a factory-ready standard, • Translate design intent into practical, production-viable garments, • Measure and review samples across proto, SMS, PPS, and pre-production stages, • Support and contribute to fit sessions, issuing clear, decisive fit and construction comments, • Advise on fabric selection, trims, and construction methods with performance, durability, and cost in mind, • Work directly with suppliers on pricing, MOQs, lead times, and technical feasibility, • Flag early any design or fabric choices that will impact FOB cost, margin, or delivery, • Liaise daily with offshore factories to drive speed, accuracy, and consistency, • Ensure garments meet quality, fit, and compliance standards, • Proven experience as a Garment Technologist within streetwear, sportswear, or casual apparel, • Strong technical understanding of garment construction, fit, fabrics, and pattern interpretation, • Experience across jersey, fleece, woven, and casual sportswear categories, • Strong commercial awareness — understands how fabric, fit, and construction affect price and margin, • Comfortable working in a fast-paced, reactive environment, • Confident managing tech packs and factory communication end-to-end, • Highly organised, practical, and delivery-focused, • Strong Excel and MS Office skills UK-based candidates with the right to work only.

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days) Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: • Develop and prototype AI-driven solutions across customer-facing and internal applications., • Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows., • Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering)., • Partner with stakeholders to translate business needs into practical, intelligent systems., • Mentor junior team members and contribute to the evolution of our AI tooling stack. This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value. What You’ll Bring • 3+ years experience in a commercially driven customer environment, • Strong Python skills and solid grounding in AI/ML fundamentals., • Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools., • Knowledge of RAG pipelines, transformers, and modern AI architectures., • Understanding of deployment or MLOps best practices (Azure experience a plus)., • Recent, hands-on experience with applied LLM projects., • Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity • Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years., • Contribute to short-term LLM “quick wins” and longer-term agentic AI development., • Work in a collaborative, supportive environment with senior data leaders., • Help shape how AI transforms both customer experience and business efficiency. Package & Details • Salary: Up to £80,000 + 10% Bonus + 5% Matched Pension, • Hybrid working: 3 days per week in London office (Tues/Weds fixed), • No visa sponsorship available Apply below!

Why Join Hunza G Hunza G is building a generational swimwear brand, powered by timeless design and truly inclusive product. With over four decades of heritage and a rapidly growing global footprint, we are building a brand that is both timeless and culturally resonant. This role offers the opportunity to be at the heart of that journey, shaping how the brand shows up creatively and in the world’s leading media. Overview We are seeking an experienced Technical Product Developer to join our dynamic product team. In this pivotal role, you will be responsible for ensuring the seamless development of high-quality garments, from initial concept to final sample. The ideal candidate will bring a deep understanding of garment construction, fabric properties, and manufacturing processes, along with a keen eye for detail and a passion for innovation. As an integral part of our team, you will collaborate closely with the Creative Director, Design and Production teams to maintain the highest standards of quality and innovation while driving continuous improvement across the product lifecycle. This business is highly collaborative, and therefore you must work well in fast fast-paced environment alongside a fun & friendly team. Core Responsibilities • Lead the creation, development, and continuous refinement of detailed CADs and tech packs, translating initial design briefs into precise, production-ready documents. Ensure clear communication of design intent both visually and technically., • Oversee and manage all sample submissions (prototype, SMS, sealing), ensuring accuracy and quality in alignment with the company’s critical path and commercial calendar. Championing product quality and production viability through continuous assessments and reviews., • Own the product development critical path, proactively managing timelines, risks, and dependencies to ensure all deadlines are met across the collection(s)., • Guide the translation of creative direction into technically feasible and cost-effective prototypes, collaborating closely with Design and Production teams to maintain brand standards and innovation., • Lead all fit sessions, evaluating quality, construction, and functionality. Provide actionable feedback and propose solutions that balance creative direction with technical feasibility and production constraints., • Manage the critical path & samples from initial concept to sealed, ensuring quality standards, all deadlines are met, and proactively reducing potential risks and delays at all stages., • Ensure that new garments are viable for production from a cost and quality perspective through ongoing risk assessments, consistency checks, and functionality reviews., • Liaise with the Design, Production & Merchandising, advising on implications of design and construction changes on margin, timelines, and quality., • Support in the onboarding of new suppliers, ensuring partners align with our standards for technical capability, innovation, and sustainability, along with all development processes & timelines., • Ensure all product testing and compliance requirements are proactively managed, working closely with Production to guarantee materials and finished garments meet required standards., • Contribute to the strategic evaluation and development of Hunza G’s supply base, identifying new opportunities for innovation, speed, and improving margin., • Prioritise own workload in line with Meetings Schedule and Company Critical Path while maintaining good working relationships with all team members and Supplier partners., • Support & manage PD Assistants, while ensuring accurate data management and workflow prioritisation., • Seasonal travel to domestic & International material fairs & Suppliers will be required to align with brand direction and innovation goals. What We’re Looking For • A minimum of 8-10 years’ experience within the industry. Previous experience in both Knitted & Woven products and knowledge of Swimwear and/or lingerie would be very beneficial., • An in-depth understanding of quality assurance, product construction, testing & optimisation., • Existing relationships with Raw Material suppliers and finished goods manufacturers across Europe & North Africa would be extremely beneficial., • Proficient in Adobe InDesign & CAD. Experience in Microsoft Office/Google Sheets would also be highly beneficial., • Demonstrated ability to manage multiple projects at a senior level, balancing strategic oversight with attention to technical detail., • Solution-oriented problem solver, flexible, adaptable and resilient., • A creative mindset and a passion for innovation and continuous improvement., • Strong understanding of cost engineering, margin impact, and scalable production processes., • High level of self-motivation and effective time management skills, confident working to targets and deadlines., • Excellent communication and supplier management abilities, with a proven track record of building strong internal and external relationships., • Knowledge and understanding of PLM would be highly beneficial, but not essential, as full training will be provided.

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days) Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: • Develop and prototype AI-driven solutions across customer-facing and internal applications., • Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows., • Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering)., • Partner with stakeholders to translate business needs into practical, intelligent systems., • Mentor junior team members and contribute to the evolution of our AI tooling stack. This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value. What You’ll Bring • 3+ years experience in a commercially driven customer environment, • Strong Python skills and solid grounding in AI/ML fundamentals., • Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools., • Experience in RAG pipelines, transformers, and modern AI architectures., • Understanding of deployment or MLOps best practices (Azure experience a plus)., • Recent, hands-on experience with applied LLM projects., • Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity • Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years., • Contribute to short-term LLM “quick wins” and longer-term agentic AI development., • Work in a collaborative, supportive environment with senior data leaders., • Help shape how AI transforms both customer experience and business efficiency. Package & Details • Salary: Up to £80,000 + 10% Bonus + 5% Matched Pension, • Hybrid working: 3 days per week in London office (Tues/Weds fixed), • No visa sponsorship available Apply below!

Technical Controller – Food / Own Brand 📍 Harrow, London | Hybrid 🕒 35 hours per week Total package worth upto £91,000 ✈️ UK travel + occasional Europe Are you a senior food safety & quality leader who wants real influence over a national own-brand portfolio? We’re working with a major UK convenience retail brand to appoint a Technical Controller to lead food safety, quality assurance and compliance across their entire own-label range. This is a high-impact, senior role where you’ll act as the guardian of the brand, setting national standards and leading the technical agenda across multiple regions and supply chains. What we’re looking for • Proven experience leading a QA / Technical function within food or retail, • Strong background across multiple categories (chilled, ambient, frozen, non-food), • Excellent knowledge of food safety, legislation and supplier management, • Comfortable operating in a matrix organisation with senior stakeholder influence, • Food science or relevant technical qualification (HACCP Level 4 desirable), • Retail or own-label experience highly advantageous What you’ll be doing • Owning food safety, QA, compliance and responsible sourcing for the national brand portfolio, • Leading and developing the technical function (with direct reports), • Approving and auditing suppliers across food, non-food and packaging, • Acting as the escalation point for product issues, recalls and crisis management, • Ensuring compliance with UK & EU legislation (HFSS, EPR, packaging, medicines, etc.), • Working closely with internal teams, regional partners and international stakeholders, • Representing the brand with enforcement authorities and external bodies, • Shaping and delivering the Responsible Retailing & CSR strategy This role blends strategy, leadership and hands-on technical expertise. Why consider this role? • National responsibility with genuine influence, • Senior leadership role within a well-established UK brand, • Broad, interesting supply base and stakeholder exposure, • Opportunity to shape standards, policy and long-term strategy

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The role of Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for experienced Backend, Full Stack and Platform Engineers to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help build engaging & intuitive app experiences and the event-driven & real-time backend services that power them. You’ll work across our platform, real-time data flows and APIs on a backend designed for scale & flexibility. Responsibilities: • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients, • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • Built modern full-stack applications w/ focus on backend (e.g. Python, Java, Go), • Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (e.g. Kafka, Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Nice to Have: • Experience in web or Android development (e.g. Javascript, Typescript, React.js, Kotlin), • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

AI Prompt Engineering Consultant, Technically Sharp & Systems-Minded Deesign and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways. THE ROLE Prompting & Reasoning Systems • Design, test and optimize prompts for leading frontier models (GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek)., • Apply advanced prompting strategies:, • Chain-of-Thought, ReAct, Tree-of-Thoughts, Graph-of-Thoughts, Program-of-Thoughts, self-reflection loops, debate prompting and multi-agent orchestration (AutoGen/CrewAI)., • Build agentic workflows with tool calling, memory systems, retrieval pipelines and structured reasoning. GenAI Application Engineering • Integrate LLMs into applications using LangChain, LlamaIndex, Haystack, AutoGen and OpenAI s Assistant API patterns., • Build high-performance RAG pipelines using:, • hybrid search, reranking, embedding optimization, chunking strategies and evaluation harnesses., • Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering • Work with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment., • Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores., • Use AI-powered dev tools (GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration., • Implement LLMOps/PromptOps using:, • Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize Phoenix, • Benchmark and evaluate LLM systems using Ragas, DeepEval and structured evaluation suites. Deployment & Infrastructure • Containerize and deploy workloads with Docker, Kubernetes, KNative and managed inference endpoints., • Optimize model performance with quantization, distillation, caching, batching and routing strategies. EXPERIENCE • Strong Python skills, with experience using Transformers, LangChain, LlamaIndex and the broader GenAI ecosystem and prompt engineering experience., • Deep understanding of LLM behavior, prompt optimization, embeddings, retrieval and data preparation workflows., • Experience with vector DBs (FAISS, Pinecone, Milvus, Weaviate, ChromaDB)., • Hands-on knowledge of Linux, Bash/Powershell, containers and cloud environments., • Strong communication skills, creativity and a systems-thinking mindset., • Curiosity, adaptability and a drive to stay ahead of rapid advancements in GenAI. BENEFICIAL • Experience with PromptOps & LLM Observability tools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith)., • Understanding of Responsible AI, model safety, bias mitigation, evaluation frameworks and governance., • Background in Computer Science, AI/ML, Engineering, or related fields., • Experience deploying or fine-tuning open-source LLMs. TECH STACK LLMs: GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.

Senior Technical Manager £65-70k + £7k CA North London I'm currently recruiting for an experienced Senior Technical Manager / Quality Assurance Manager to join a leading food and beverage retailer at their North London office. You will be responsible for leading the QA team to ensure that all food and product safety requirements are met alongside maintaining the high levels of brand quality. Some of your duties will include - · This role is expected to play a key role in helping shape the culture, standards, and strategy across the whole team · Review and develop effective QA processes for the brand, liaising with product development and specifications management partners in support. · Develop collaborative relationships with internal and external stakeholders · Develop and ensure adherence to nationally agreed UK policies. · Ensure appropriate and timely approval of new suppliers for quality assurance and responsible sourcing. · Ensure new and existing supplier conformance to agreed quality standards, managing internal remedial audits and supplier quality and responsible retailing communications. · Ensure product complaints and supplier quality issues are managed and closed out effectively. · Develop, train, maintain and run an effective crisis management process, and deal with issues raised by enforcement authorities. · Manage and develop an effective Finished Good Specifications process · Represent the brand at all relevant external stakeholder meetings associated with Quality, food safety, legislation and responsible retailing, ensuring appropriate deputy in place in support · Develop and deliver on Responsible Retailing strategy and plans. · Lead, develop and support technical team members. Key requirements for the role - • Proven previous QA/ Technical management experience within a fast-moving FMCG / Food environment., • Educated to degree level in Food Science or equivalent with L4 HACCP, • Strong knowledge of the impact of food safety legislation on NPD, • Ability to influence and negotiate effectively., • Able to adapt swiftly in a fast paced, ever changing retail market., • Excellent communication skills and the ability to liaise effectively at all levels If you think you have the right Technical experience and looking for a new opportunity to develop your career with a thriving grocery retailer, then get in touch and apply today

Frontend Developer Up to £70,000 + Bonus Central London – Flexible Hybrid Options Health-Tech A fast-growing healthtech company is seeking a Frontend Developer to help build a user-centric SaaS platform transforming pharmaceutical R&D. You’ll contribute to UI architecture, advance component systems, and collaborate closely with product and design to elevate usability and responsiveness. As a Frontend Developer, you will have: • Strong commercial experience in React with TypeScript, • Exposure to UI/UX principles and design collaboration, • Background in healthtech or data-driven applications, • Bonus: experience with Python/Django or similar frameworks, • Solid grounding in agile best practices and engineering principles, • Strong communication skills and ability to thrive in a cross-functional team Package on offer: • Salary: Up to £70,000 + Discretionary Bonus, • London Office – 3 days per week onsite, • Private Medical Insurance This is a unique opportunity to join a high-performing team making a real impact in the healthtech space.

Overview Our client, a fast-growing, UK-based apparel business operating in the streetwear and sports-influenced casualwear space. The product is trend-driven, youth-led, and commercial, with a strong focus on jersey, fleece, and casual woven categories. The company hires with a long-term mindset and is known for developing and promoting talent from within. It is a supportive, friendly environment where management is hands-on, approachable, and invested in helping people learn, grow, and progress. This is a strong platform for someone who wants stability, responsibility, and career development rather than short-term moves. This is a hands-on role supporting the design and product teams across Watford and London. The focus is technical execution — creating, checking, and amending tech packs and workbooks, and working closely with Designers to ensure accuracy, fit, and production readiness. This role suits a practical, detail-driven Garment Technologist who is comfortable operating independently in a fast-paced environment. Key Responsibilities • Create, check, and amend tech packs to a high standard, ensuring accuracy and clarity for factories., • Maintain and update workbooks, including specs, measurements, construction details, and fit comments., • Work closely with Designers in Watford and London to translate design intent into technically viable garments., • Measure and review samples ahead of fit sessions., • Attend and support fit sessions where required; capture and clearly document fit comments and amendments., • Ensure all fit, spec, and construction changes are correctly actioned and communicated to factories., • Liaise with offshore factories regarding fit, measurements, construction, and quality requirements., • Support pattern amendments in collaboration with Designers and/or factories., • Ensure quality standards are maintained throughout sampling and development stages. Skills & Experience Required • Proven experience as a Garment Technologist (freelance or permanent), ideally with sportswear/streetwear/activewear background., • Strong experience producing and managing tech packs and workbooks end-to-end., • Solid understanding of garment construction, fit, and pattern interpretation., • Experience working with offshore factories., • Confident working directly with Designers and cross-functional teams., • High attention to detail and strong organisational skills., • Able to work at pace and manage multiple styles simultaneously., • Strong written and verbal communication skills., • Proficient in Microsoft Excel and Office., • Experience across multi-product categories (menswear and/or womenswear) is an advantage. Salary: Excellent, based on experience. Location: Watford (with travel to the London office once or twice a week).

Technical Solutions Engineer – Deep-Tech AI (RetailTech / PoS Vision AI) London (Hybrid – 1 day onsite) £80–90k + Bonus + Equity We’re partnering with one of London’s most exciting deep-tech AI scale-ups, pioneers of on-device, self-training AI now deployed across 1,000+ Tier 1 retail stores. Their edge platform powers real-time computer vision and PoS automation across global retail estates. They’re hiring a Technical Solutions Engineer, not a TAM, not a PM, not an implementation role. Think: deep troubleshooting, edge deployments, distributed systems, containers, logs, Linux, cloud, and full technical ownership of AI models running across thousands of PoS devices. If you love pulling systems apart, debugging across multiple layers, and being the technical face of a cutting-edge AI product, this is for you. What You’ll Be Doing • Own the technical success of enterprise deployments across thousands of PoS + edge devices, • Troubleshoot end-to-end: AI model behaviour, device integrations, networks, cloud infra, on-device performance, • Analyse logs, metrics and telemetry (Grafana, Metabase) to pinpoint root cause, • Work hands-on with Linux, SQL, Docker, AWS/GCP/Azure, • Lead pilots, rollouts and on-device testing across major retail estates, • Collaborate with Engineering, ML, and Product to improve reliability + performance, • Manage incidents from first alert to identifying product-level bugs, • Translate complex technical issues into clear, actionable guidance for enterprise retail clients, • Act as the dedicated technical point of contact for strategic accounts Ideal Background You’re a hands-on, client facing, technical support engineer with real ownership experience in live customer environments, ideally within RetailTech (SaaS), PoS systems, edge AI, computer vision, or IoT. You understand: • Edge ML pipelines (training, validation, orchestration), • Retail IT infrastructure (PoS, SCO, store networks), • Integration frameworks (APIs, SDKs, cloud-edge sync) Technical Requirements Strong troubleshooting across: • SQL, • Linux / OS-level commands, • Docker / containers, • Cloud (AWS, GCP, Azure), • Log analysis, performance monitoring, • Diagnosing issues across AI models, integrations, networks, device hardware, cloud layers Highly relevant backgrounds: • Technical Support Engineer (L2/L3), • Solutions Engineer, • Platform Support Engineer / SRE-lite, • Deeply technical TAM (SaaS/AI/IoT), • Experience with distributed systems, edge devices, IoT or ML/AI environments Why Join • Work across AI, PoS vision, hardware, cloud, edge, distributed systems, • Massive technical variety, no two issues look the same, • Direct input into product decisions, • Equity with meaningful upside, • Real-world impact across thousands of retail devices globally, • Perfect for engineers who want customer-facing work without sacrificing technical depth Interested? If you’re a strong technical trouble shooter who thrives on autonomy, complex systems, and customer-facing support engineering in the world of RetailTech and PoS AI, we’d love to speak with you.

We are a leading provider of Retail stocktaking, merchandising and supply chain management service.

Otis is growing and we are recruiting to cover London Territory. The main goal is growing the renovation business and securing a second service life for customer and Otis.

Assistant Quantity Surveyor – Fast Paced Retail & Fit-Out. You'll be part of a retail and commercial fit-out team delivering high-volume projects for major supermarkets, coffee shops, and restaurants.

Managing a team, processing all retail banking functions (cashiers, CDD/EDD, debit/credit cards, payments etc) for the London branch.

Role: Assistant Store Manager / Location: Epsom / Salary: £29,627 per annum (OTE £32,589) plus benefits / Hours of work: 40 hours per week - 5 out of 7 days, working a mixture of early and late shifts covering the stores opening and closing times.

Title: Restaurant and Bar Team Member.Hours: 35 hours p/w over 5 days (Weekend availability is essential).Days holiday including bank holidays.

Store Manager - Central London | Fashion & Accessories Retail | Salary Up to £40,000 + Excellent Benefits & Career Progression. Are you a dynamic and driven retail leader with a passion for fashion? This is an exciting opportunity to become the Store Manager of a flagship location in the heart of C

Area Sales Representative – South UK.Our client is the leading wood panel board manufacturer, with their UK operations being based in Wrexham, North Wales.They are known for delivering exceptional products and creating long-lasting relationships with their clients.With a strong history of grow

Assistant Merchandiser | Established - Senior | Fashion | Central London | 3:2 Hybrid Working | £32,000 - £38,000.

We are looking for an experienced, commercial Retails/Sales Area Manager to play a key role in ensuring the smooth running of a small cluster of self-storage location.