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        Search Relevance Engineer - US

        Xcede
        United States
        REMOTE US / UK / EU
        Search Relevance Engineer - REMOTE US/UK/EU - Eastern time preferred - About the role - We are looking for an experienced Search Relevance Engineer to help shape and optimise the search experience for millions of users. This role sits at the intersection of engineering and data science, focusing on search relevancy, ranking models, and query understanding. You will work closely with Product, Engineering, DevOps, and Data teams to design and deliver strategic projects that directly impact customer experience. What youll be doing * Fine-tuning keyword search (including BM25), query expansion, and retrieval methods (ANN dense retrieval, sparse retrieval, semantic search). * Applying techniques such as entity/name density recognition, query understanding, query rescorers, and learning-to-rank models. * Experimenting with embeddings and vector search to improve personalisa
        Search Relevance Engineer - REMOTE US/UK/EU - Eastern time preferred - About the role - We are looking for an experienced Search Relevance Engineer to help shape and optimise the search experience for millions of users. This role sits at the intersection of engineering and data science, focusing on search relevancy, ranking models, and query understanding. You will work closely with Product, Engineering, DevOps, and Data teams to design and deliver strategic projects that directly impact customer experience. What youll be doing * Fine-tuning keyword search (including BM25), query expansion, and retrieval methods (ANN dense retrieval, sparse retrieval, semantic search). * Applying techniques such as entity/name density recognition, query understanding, query rescorers, and learning-to-rank models. * Experimenting with embeddings and vector search to improve personalisa
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        Machine Learning Engineer - LLMs / Generative AI - They're seeking a Machine Learning Engineer to help transform cutting-edge research into production-grade systems. We're working with a pioneering tech organisation driving the next wave of generative AI. * Designing and scaling infrastructure, workflows, and tools to power Large Language Models (LLMs). * Partnering with researchers to overcome challenges in agent-generated code. * Building frameworks for annotation, training, and model development at scale. * 4+ years' experience in ML/AI (LLMs, recommender systems, data mining, or similar). * Proven hands-on work with LLM agents / generative AI. * Strong coding in Python with PyTorch / TensorFlow. * Advanced debugging, experimentation, and optimisation skills. * Master's or PhD in Computer Science, AI, ML, or related field. * Resear
        Machine Learning Engineer - LLMs / Generative AI - They're seeking a Machine Learning Engineer to help transform cutting-edge research into production-grade systems. We're working with a pioneering tech organisation driving the next wave of generative AI. * Designing and scaling infrastructure, workflows, and tools to power Large Language Models (LLMs). * Partnering with researchers to overcome challenges in agent-generated code. * Building frameworks for annotation, training, and model development at scale. * 4+ years' experience in ML/AI (LLMs, recommender systems, data mining, or similar). * Proven hands-on work with LLM agents / generative AI. * Strong coding in Python with PyTorch / TensorFlow. * Advanced debugging, experimentation, and optimisation skills. * Master's or PhD in Computer Science, AI, ML, or related field. * Resear
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        PREMIUM
        Role Machine Learning Engineer Are you a talented Machine Learning Engineer eager to make an immediate impact on exciting projects? * 3+ years of hands-on experience as a Machine Learning Engineer or similar role. * Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. * Proficiency in Python and/or R for developing machine learning models. * Proven track record of designing and deploying machine learning models in production environments. * Excellent analytical skills, with the ability to troubleshoot and optimize complex machine learning workflows. With Myn, you gain a trusted partner dedicated to helping Machine Learning professionals excel in their careersconnecting you with forward-thinking employers and impactful projects. * Collaborate with cross-functional teams, including data scientists, softwa
        Role Machine Learning Engineer Are you a talented Machine Learning Engineer eager to make an immediate impact on exciting projects? * 3+ years of hands-on experience as a Machine Learning Engineer or similar role. * Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. * Proficiency in Python and/or R for developing machine learning models. * Proven track record of designing and deploying machine learning models in production environments. * Excellent analytical skills, with the ability to troubleshoot and optimize complex machine learning workflows. With Myn, you gain a trusted partner dedicated to helping Machine Learning professionals excel in their careersconnecting you with forward-thinking employers and impactful projects. * Collaborate with cross-functional teams, including data scientists, softwa
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        Key skills: Snowflake, DBT, SQL, Python, AWS and Kimball - The Client who are in the process of migrating to SnowFlake therefore require extra support. As a result, they require someone from a strong SQL & Python development background with excellent working knowledge of Data Build Tool (DBT). You will be undertaking aspects of the development lifecycle and be experienced in data modeling, process design, development, and testing. And whilst this company is going through a large-scale migration, this will present you with an opportunity to be at the cutting edge of data engineering. - SnowFlake (ideally certified) - AWS cloud experience essential, relating to data tooling and development - Working knowledge of Data Build Tool (DBT). L
        Key skills: Snowflake, DBT, SQL, Python, AWS and Kimball - The Client who are in the process of migrating to SnowFlake therefore require extra support. As a result, they require someone from a strong SQL & Python development background with excellent working knowledge of Data Build Tool (DBT). You will be undertaking aspects of the development lifecycle and be experienced in data modeling, process design, development, and testing. And whilst this company is going through a large-scale migration, this will present you with an opportunity to be at the cutting edge of data engineering. - SnowFlake (ideally certified) - AWS cloud experience essential, relating to data tooling and development - Working knowledge of Data Build Tool (DBT). L
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