3 Online Shopping jobs in the United Kingdom
AI Machine Learning Engineer: AI Shopping Agents (Remote)
Posted 25 days ago
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Job Description
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
Requirements
Constructor is seeking an experienced AI Engineer to design and build our Agent Products . In this role, you will focus on developing and rigorously evaluating sophisticated RAG pipelines and agentic workflows that power new ways of shopping. Our LLM-powered agents utilize various tools to interact with customers’ catalogs, enable advanced retrieval, and assist with browsing to answer open-ended user queries. These agents provide high-quality, well-cited answers and deliver exceptional product recommendations.
Responsibilities- Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions
- Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing
- Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations
- Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems
- Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features
- Improve the speed, quality, and efficiency of our AI systems and engineering processes
- Take ownership of systems and designs from conception through to deployment and maintenance
- 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP
- Excellent skills in delivering and communicating business value
- Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions
- Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)
- Direct experience with Retrieval-Augmented Generation (RAG) ; experience building autonomous agents is a strong plus
- Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)
- Solid understanding of ML evaluation methodologies and key IR metrics
- Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks
- Core : Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph
- Data Stores : Vector Databases, DynamoDB, AWS S3, AWS RDS
- Cloud & MLOps : AWS, Databricks, Ray
Benefits
Customer Service Representative
Posted 22 days ago
Job Viewed
Job Description
Position Overview
We're seeking a proactive, empathetic Customer Service Representative to join our team and deliver exceptional support across multiple channels—phone, email, live chat, and face-to-face. You’ll be the trusted voice of our organization, resolving inquiries, processing requests, and representing our values every day.
Key Responsibilities
- Respond to customer inquiries with courtesy and efficiency across platforms (phone, email, chat, social media)
- Process orders, payments, and returns accurately
- Resolve complaints by identifying issues and providing clear, effective solutions
- Collaborate with internal teams to escalate technical or policy-related concerns
- Maintain accurate records of customer interactions and outcomes
- Aim for high first-contact resolution and consistent customer satisfaction
Essential Skills & Attributes
- Excellent written and verbal communication
- Strong empathy, active listening, and patience
- Problem‑solving mindset and ability to stay calm under pressure
- Proficiency with CRM systems and Microsoft Office / Google Workspace
- Ability to multitask and manage time effectively
- Prior customer service or retail experience favored
Work Environment
- Flexible arrangements such as in-office, remote, or hybrid setups depending on team needs
- A supportive, team-oriented culture focused on continuous improvement and quality service
- Opportunities for growth into supervisory or specialist roles with performance recognition
Company Details
Remote Customer Service Specialist
Posted 19 days ago
Job Viewed
Job Description
PC Laptop (No Chromebooks or Mac/Apple Computers)
Hard-Wired Internet Connection (Must have a reliable solid internet
connection)
Headphones With Microphone
We contract with agents within the United States, with the EXCEPTION of: California, Connecticut, Colorado, Illinois, Maryland, Massachusetts, Minnesota, New York, New Jersey, Oregon, Pennsylvania, Vermont, Washington, and Wisconsin.
BenefitsWhat We Offer: ● Competitive remote work compensation package● Flexible work hours to suit your lifestyle● Extensive training and support to excel in your role● Opportunity to grow and advance within the organization● A collaborative and inclusive work culture that values your contributions-Choose Your Own Schedule-Application Process is Automated; No InterviewBe The First To Know
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