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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer: Search Quality - **Company:** Constructor - **Location:** UK (Remote available) - **Experience:** Expert - **Salary:** £80,000.0 - £120,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Airflow, Information Engineering, Information Retrieval, Python (Programming Language), Machine Learning, Performance Tuning, Recommender Systems, SQL Databases, Pytorch, Large Language Models, Apache Spark, Low Latency, Data Pipelines - **Published:** August 11, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5834880899 ## About the Role * Experience with search, information retrieval, or recommendation systems * Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments * Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow) * Experience designing and running A/B tests to validate model impact * Excellent English communication skills * Experience collaborating in cross-functional teams (ranking, product, data engineering) ## Description As a Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware. The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs. Your primary focus will be relevance evaluation and quality improvements: * LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior. * Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant. * Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations. * Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides. * No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means. * Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base., * Work with smart and empathetic people who will help you grow and make a meaningful impact. * Regular team offsite events to connect and collaborate. * Fully remote team - choose where you live. * ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. * ️ Work from home stipend! We want you to have the resources you need to set up your home office. * Apple laptops provided for new employees. * Training and development budget for every employee, refreshed each year. * Maternity & Paternity leave for qualified employees. * Base salary: $80k-$120K USD, depending on knowledge, skills, experience, and interview results * Stock options - offered in addition to the base salary ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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