Product and Machine Learning Engineer

Job title: Product and Machine Learning Engineer

Company: Nesta

Job description: We are recruiting for a Product and Machine Learning EngineerAbout NestaWe are Nesta, the UK’s innovation agency for social good. We design, test and scale solutions to society’s biggest problems. Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet.For over 20 years, we have worked to support, encourage and inspire innovation. We work in three roles: as an innovation partner working with frontline organisations to design and test new solutions, as a venture builder supporting new and early stage businesses, and as a system shaper creating the conditions for innovation.Harnessing the rigour of science and the creativity of design, we work relentlessly to change millions of lives for the better. Find out more at .The RoleNesta’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 mindAn 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 environmentPrevious experience developing LLM driven solutions/applicationsEvidence of developing/contributing to open source softwareExperience of working in the public or third sector, or a start-up environment.The TeamThe 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 moreLocation: This role is based in London Blackfriars, hybrid working arrangement with a minimum of two days in the officeTerm: PermanentHours: 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.Making an applicationTo apply for this role, please submit your application before 8:00am on the 27th of May 2024.Interviews will take place w/c 3rd of June 2024.At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results.We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop.This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful.We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements.Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you’d like to explore.

Expected salary:

Location: London

Job date: Fri, 10 May 2024 05:51:23 GMT

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