Location: Hybrid (Oxford / London)
Market-leading compensation – Committed to matching or exceeding market-rate salaries.
This is a firm who are dedicated to applying artificial intelligence technology to solve some of humanity’s biggest challenges. From climate change to healthcare, food security to ethical AI use, this is a rare chance to work on mission-driven AI research with some of the brightest minds in the field.
You’ll be joining one of Europe’s best-funded AI research centres, collaborating with top talent, including those from the likes of Google DeepMind, to build data infrastructure that powers AI solutions across a number of industries and use-cases.
Why this role?
* Tangible, impact-driven work that tackles real-world issues
* An elite team where you’ll work alongside AI pioneers & industry leaders
* Top compensation – the firm is matching or beating UK-based competitors’ salaries
Your responsibilities
* Building scalable, high-performance data platforms that support AI research and large-scale computation.
* Collaborating with AI researchers, data scientists, and software engineers to ensure seamless data integration and infrastructure reliability.
* Optimising data pipelines and storage solutions to improve performance, cost efficiency, and scalability.
* Developing innovative tools and systems that enable AI-driven initiatives across sustainability, healthcare, robotics, and more.
* Mentoring team members, fostering collaboration, and driving best practices in data engineering.
What you bring:
* Extensive experience in data engineering, including building and optimising data pipelines and distributed systems using Airflow, Dagster, or Kedro.
* Expertise in cloud platforms such as AWS, GCP, or Azure, along with modern data technologies like Spark, Kafka, or Hadoop.
* Proficiency in programming languages such as Python, Scala, or Java, with the ability to write efficient, scalable code.
* Experience working with AI/ML-driven platforms and understanding how data systems integrate with machine learning pipelines.
* Ability to work cross-functionally in high-performing teams, collaborating with AI researchers and engineers.
* Passion for applying AI and data solutions to human-centric challenges.
If you're an experienced data engineer who wants to work on AI for good alongside the brightest minds in the field, apply today.
For information on this and other opportunities in this sector, reach out directly.