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    Product and Machine Learning Engineer - London, United Kingdom - Nesta

    Nesta
    Nesta London, United Kingdom

    3 weeks ago

    Default job background
    Permanent
    Description

    The Role

    Nesta's Data Science Practice is looking for a Product and Machine Learning (ML) Engineer to join our team. Working closely with Nesta's Data Science, Software Engineering and Design and Technology teams, the Product and ML Engineer will play a key role in increasing the impact of data science across Nesta's 3 missions and BIT, through developing tools, models and data into scalable products. This role may suit data scientists with strong engineering skills or engineers with a strong machine learning background.

    Key Responsibilities:

  • Product development : conceiving, developing, deploying and testing data science driven products, including working as part of a multidisciplinary team to achieve this.
  • Infrastructure development : collaborating with data scientists, data engineers and software engineers to create the tools, frameworks and infrastructure that enables the acceleration of ML/data driven product delivery.
  • Opportunity spotting : identifying areas across the organisation that would benefit from data science enabled products, and designing solutions to achieve impact.
  • Scaling up algorithms : building robust, reproducible pipelines, including model training, deployment and maintenance.
  • Collaboration : Work closely with data scientists, data engineers, analysts and other stakeholders to integrate cutting-edge tools and techniques to improve the scale and robustness of their work.
  • Communication : Understand and articulate trade-offs between different solutions and discuss these with relevant stakeholders to decide pragmatically between a range of options, taking into account factors such as quality, timeliness and impact.
  • Standards : taking an active part in establishing ML standards and driving quality across our digital and data estate, whilst also coaching and upskilling relevant technical staff across the organisation to achieve them.
  • Continuous improvement : Stay updated with the latest trends in ML engineering to drive the evolution of our platforms.

    • Must-Have Skills:

  • A minimum of 3 years working in a related technical role (e.g. Data Scientist, Data Engineer, Software Developer)
  • Experience implementing and deploying machine learning models to be part of digital products or research processes.
  • Comfortable working with several machine learning frameworks (such as PyTorch, scikit-learn, huggingface, spaCy)
  • Ability to write code with testability, readability, edge cases and errors in mind
  • An understanding of software development lifecycles (e.g. system design, MLOps architecture)
  • Familiarity with engineering and DevOps practices (e.g. CI/CD, containerisation)
  • Solid understanding of cloud services and systems.
  • Version control using Git/Github or equivalent.
  • Ability to convert complex data requirements into scalable solutions meeting user/stakeholder needs.
  • Strong communication skills and proven experience collaborating with a diverse range of stakeholders, including non-technical collaborators.
  • Experience with agile methodologies and rapid iteration - you have experience of iteratively developing software solutions and know when to use ML or other approaches to demonstrate user and stakeholder value.

    • Nice-to-Haves:

  • Previous experience in a research or data-intensive environment.
  • Previous experience working in a product focused software development environment
  • Previous experience developing LLM driven solutions/applications
  • Evidence of developing/contributing to open source software
  • Experience of working in the public or third sector, or a start-up environment.

    • The Team

    The post holder will work within Nesta's Data Science Practice. We are a diverse team, of approximately 20 members, which includes data scientists and engineers from backgrounds covering academia, industry and the third/public sector.

    We deliver data science work for all of Nesta's missions and in support of BIT's goals. We are curious about new methods and enthusiastic about working with and learning from people from other disciplines.

    As well as providing data driven solutions, we think critically about data for social impact. This includes identifying who is affected by our work and how, assessing the trade-offs between short- and long-term priorities and the values that are embedded in our work. We strive to balance rigour and integrity in our work, as well as principles such as openness, with the real-world needs of the organisation and wider world.

    Learning and development is a high priority in the team. There are opportunities for collaborative and individual learning and there may also be opportunities to take secondments to other parts of the organisation.

    You can read more about our work on the .

    What we offer:

    Salary: £53,000-66,000 (offers are expected to be made towards the bottom of the band) plus an array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more

    Location: This role is based in London Blackfriars, hybrid working arrangement with a minimum of two days in the office

    Term: Permanent

    Hours: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do.

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