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Join Nesta's quest for social good as a Product and ML Engineer and harness the power of data science to shape a fairer and sustainable future
Overview
Salary £53000 - £66000
Location Blackfriars, London - Hybrid
Nomad Friendly? 
Expires Expires at anytime
Nesta is a beacon for innovation, dedicated to solving societal challenges through ingenuity and collaboration. As the UK's innovation agency for social good, we have a 20-year legacy of fostering solutions for a fair start for children, healthy living, and a sustainable economy. Our work is a unique blend of passion and pragmatism, making a real difference in people's lives and the health of our planet.
- Develop and scale data-driven tools and models as part of Nesta’s Data Science Practice.
- Collaborate with cross-functional teams to enhance the impact of data science on critical social missions.
- Turn sophisticated data and machine learning models into scalable products that drive innovation and change.
- Minimum 3 years in a technical role related to Data Science, Engineering, or Software Development.
- Practical experience in deploying machine learning models as part of digital solutions or research.
- Proficiency in various ML frameworks like PyTorch, scikit-learn, huggingface, spaCy.
- Strong coding practices with a focus on testability and maintainability.
- Knowledge of software development lifecycles and MLOps architecture.
- Familiarity with DevOps practices such as CI/CD and containerisation.
- Understanding of cloud services and systems, and version control with Git/Github.
- Ability to translate complex data needs into scalable solutions that meet user requirements.
- Excellent communication skills and experience in agile, collaborative environments.
The role offers a competitive salary range of £53,000-66,000, with a comprehensive benefits package. Based in London Blackfriars, it encourages a hybrid working style with two office days. This full-time permanent position is also flexible, promoting work-life balance.
About Nesta We 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.
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.
Job requirements 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.
Benefits 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.
