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    Research Engineer - London, United Kingdom - Unlikely AI

    Unlikely AI
    Unlikely AI London, United Kingdom

    2 weeks ago

    Default job background
    Description

    Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all.

    We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe.

    Based in London, the company was founded by William Tunstall-Pedoe , best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

    As a Research Engineer at Unlikely AI, you'll assist in delivering model prototypes to production.

    You'll play a key role in product delivery and designing and implementing new ML features on our platform, which typically includes managing model deployments and ensuring stability.

    Other projects could include optimising our vector search capabilities.

    You should have a core understanding of ML fundamentals, and be up to date with the latest LLM models to undertake evaluation of new implementations.

    As a growing startup, this role could include projects beyond the scope of this job description therefore we are looking for individuals who are versatile and enthusiastic about learning new skills as our Applied Science team evolves.

    Implementing, deploying, and monitoring deep learning models, including LLMs.

    • Optimising model deployments and designing deep learning model features systems.
    • Conducting comprehensive performance evaluations, focusing on latency and accuracy across different implementations
    • Analysing and inspecting largescale datasets, effectively managing data scalability and integrity.
    Strong coding skills in Python, including the use of PyTorch or TensorFlow.

    • AWS / GCP / Azure)
    • Knowledge of ML model deployment including technologies such as Torchserve, Sagemaker or VertexAI
    • Understanding of modern best practices for agile software development.
    • Experience with building CI/CD workflows.
    • Experience optimising model deployments in terms of latency and throughputInfrastructureascode tools, such as Terraform

    Please note this role is not a pure research role and does not involve the creation of academic literature, but you should be very comfortable with reading and utilising academic papers and applying these concepts in your work.

    We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there


    Compensation:
    Compensation will be through salary and generous share options.

    The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.

    We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information.

    Having a broad mix of people helps us to be the best we can.
    #
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