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    Senior Consulting Engineer - London, United Kingdom - Oxford Knight

    Oxford Knight
    Oxford Knight London, United Kingdom

    3 weeks ago

    Default job background
    Full time
    Description

    Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI.

    Alongside developing and provisioning the platform, you'll also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions.


    As an engineer in the ML Technology team, you'll help to develop a cutting-edge platform, collaborating closely with company-wide teams and individuals to deeply understand their needs and guide them in leveraging the platform.

    Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements.


    Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space.

    The Technology


    Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively.

    They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development.


    Because of the small team size and the dynamic nature of the business, technology choices are not static and team members can explore new technologies freely.

    This means you will be able to shape the technology landscape and have a high impact early on.

    They are actively engaged with the broader technology community.

    They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology
    They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it.

    They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work.

    Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches
    Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

    As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.

    Technology and Business Skills

    Substantial quant development engineering experience
    A knowledge of a modern data-science stack
    Demonstrable programming experience, ideally in Python, Java, (C++ desirable)
    Experience of the challenges of dealing with large data sets, both structured and unstructured
    Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB.
    Proficient on Linux

    An excellent understanding of financial markets and instruments
    Prior experience of working with financial market data
    Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
    Relevant mathematical knowledge, e.g. statistics, time-series analysis.

    Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
    Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
    Demonstrable passion for technology e.g. personal projects, open-source involvement
    Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
    able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike
    Work-Life Balance and Benefits


    Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter.


    They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave.

    Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
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