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    Data Management Quality Lead - London, United Kingdom - Koodoo

    Koodoo
    Koodoo London, United Kingdom

    1 week ago

    Default job background
    £70,000 - £80,000
    Description

    Koodoo operates a leading digital mortgage platform and brokerage, bridging the gap between potential homeowners and their next mortgage solution.

    We streamline the mortgage process for first-time buyers to experienced remortgagers, facilitating seamless online applications.

    Our collaboration with major UK lenders enhances mortgage product visibility and customer acquisition while powering renowned comparison brands, making us integral in delivering premier mortgage experiences.

    Our innovation in AI-driven mortgage solutions sets us apart, highlighted by our milestone of being the first to pass the CeMAP exam using AI .

    We envision a transparent, effortless, and confident mortgage securing experience for everyone.

    By employing cutting-edge technology and comprehensive insights, we empower consumers on popular comparison platforms and equip lenders with superior technology, driving unparalleled service quality in home financing.

    We listen, we support, we care - for each other, our partners, and customers.

    We're inviting an AI Engineer to lead the quality workstream across all of our AI-based products, which are currently being piloted across major UK lenders and brokers.

    This new position will offer a self-starter with a mix of technical and business experience to build out a new set of procedures and frameworks for evaluating and maintaining quality in AI-based applications.

    Facilitating the building out of human in the loop feedback that scales with volume and complexity.
    Owning and building out canonical data sets.
    Testing the best performing AI architectures.
    Monitoring, alerting and debugging our AI architectures, including but not limited to:
    Developing and monitoring automatic regression testing.
    Own our prompt management systems and data:
    Support implementation teams with best practices and iteration for prompt engineering for business use cases.

    Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency.

    Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions.
    Demonstrated expertise in training and optimising generative models.
    Proven track record of implementing systems and frameworks to monitor quality outputs from non-deterministic systems using data-driven approaches.

    Ability to make translate academic papers, models, algorithms, and research findings into resources that are easily consumed and shared with the wider team.

    Proficient in Python, demonstrating the ability to architect, implement, and optimise code.
    Experience in UK Financial Services technology.
    Advanced degree in machine learning, computer vision, or related field.
    Experience working with machine learning frameworks such as PyTorch, TensorFlow.
    Enrolment into our annual discretionary bonus scheme with a maximum of 20% of base salary.
    Range of benefits to choose from including Private Medical Insurance, Gym Membership, Dental Plan and more.
    Opportunity to collaborate closely with our colleagues in person in our office in India.
    Unlimited growth potential, matching your professional development ambitions.

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