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    Senior Machine Learning Engineer - London, United Kingdom - Rightmove

    Rightmove
    Rightmove London, United Kingdom

    3 weeks ago

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    Description
    Senior Machine Learning Engineer

    As a Senior Machine Learning Engineer, you will be part of our newly formed cross-functional squads that consist of people from different job functions across Rightmove including Machine Learning Engineers, Data Scientists, Software Developers, Machine Learning Ops Engineers, and a Product Owner.

    They sit within the Data and Analytics Team, which is part of the Product Development organisation and plays a pivotal role in delivering exciting solutions.

    Last year Rightmove launched a project called RAID (Rightmove AI Discovery) which was an opportunity to successfully explore, experiment and innovate with generative AI.

    The outputs from RAID, combined with the prioritised Hackathon ideas have contributed to our future product roadmaps and we are looking for a Senior Machine Learning Engineer to build efficient, data-driven AI systems that advance both our prediction automation and generative AI capabilities.

    We are proud to be a team that is currently growing and enriching its data and data science capabilities to deliver effective and impactful solutions in an industry that is exciting, interesting, relevant, and challenging.

    You will be taking an active part in our AI platform - driving the development, implementation and scale-up of algorithms for measurable impact across the business, and creating the tools, frameworks and infrastructures that enables the acceleration of both delivery and optimisation of machine learning and generative AI products.

    Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. A typical week as a Senior Machine Learning Engineer might involve

    Leading the effort to design, build, implement, and scale the end-to-end architecture for traditional machine learning and generative AI models.

    Collaborating with data engineers and software engineers to build scalable and reliable infrastructure, as part of our unified data platform (Data Hive) that supports diverse machine learning workloads.

    Working with large datasets, clean and pre-process data, and engineer features to make them suitable for machine learning models.

    This may involve data cleaning, normalization, and handling missing values.
    Acting as a bridge between data scientists who may not have the experience of building scalable systems, and backend engineers who may lack experience with machine learning or generative AI based systems
    Actively engage in all aspects of model development, from ideation and experimentation to deployment
    Collaborating with senior management and key stakeholders in identifying and prioritising actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business and, hence, enhancing Rightmove's capability to achieve goals and objectives
    Provide support to various data projects and OKRs such as contributing to the exciting data engineering development of Rightmove's unified data platform - Data Hive
    Accomplished and driven Senior Machine Learning Engineer who also has a good understanding of large language models and generative AI
    Translate the latest research into high-performing systems and models that can be practically applied to enhance user experience
    Foster an obsession with quality and engineering excellence through automated repeatable processes
    Experience of MLOps and GenAIOps frameworks and standards for robust embedding of machine learning and large language models
    Has good knowledge of data structures, data modelling and software architecture
    Help shape the future of AI at Rightmove by providing valuable feedback and contributing to tool improvements
    Has a relentless passion to learn more and go deep into machine learning and generative AI concepts
    Maintain best practices for model development including deployment process, documentation, and coding standards
    Analyse user needs, understand where the gaps are, and contribute to leading change across Rightmove to adopt data science practices
    Curious and has a creative mind coupled with first rate critical thinking skills
    Ongoing professional development in machine learning and AI domains is expected
    A Bachelors degree, MSc or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning, or related STEM field
    ~5+ years of relevant machine learning and data engineering experience within a fast-paced complex business setting
    ~ Expertise in understanding and implementing generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and autoregressive models like Transformers
    ~ Professional experience in SQL and Python beyond scripting; deployment experience overseeing end to end ML lifecycle.
    ~ Worked on projects involving the simultaneous generation of multiple types of data, such as images and text, pushing the boundaries of what generative models can achieve
    ~ Even if you can't say 'yes' to all of the above, but are self-motivated and passionate about data then get in touch.
    #
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