Pioneering AI Research
Building Real-World Impact

Join our research team to explore the frontier of AI and translate cutting-edge methods into real-world impact. You'll contribute to EU-funded research projects, publish your work at top-tier venues, and collaborate with leading academic and industry partners across Europe. This role is ideal for someone who enjoys moving fluidly between scientific exploration and applied engineering.

You'll thrive here if you have a strong academic background in machine learning, deep learning, or a related field (MSc or PhD preferred), experience reading and implementing research papers, and a genuine curiosity about pushing the boundaries of what AI can do. Areas of interest include computer vision, NLP, multimodal learning, and large-scale information fusion.

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We're looking for a Data Engineer to build and maintain the data infrastructure that fuels our analytics, research, and AI products. You'll design scalable pipelines that move and transform data across diverse sources, from real-time streams to historical archives, and ensure it's reliable, accessible, and ready for analysis.

You'll thrive here if you have experience with modern data stacks (Spark, Kafka, Airflow, or similar), strong SQL skills, and a track record of building pipelines at scale. Familiarity with cloud platforms (AWS, GCP, or Azure) and a pragmatic approach to data quality and governance will serve you well.

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Help us turn raw data into clear, actionable insight. As an Analytics Engineer, you'll sit at the intersection of data engineering and analytics, modelling data, building clean datasets, and enabling teams to make decisions backed by trustworthy numbers. You'll work across products and research projects, shaping how data is used throughout the company.

You'll thrive here if you have strong SQL skills, experience with tools like dbt, and a passion for well-structured data. A good eye for visualisation and the ability to communicate insights clearly to technical and non-technical stakeholders will make you stand out.

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We're looking for a Senior Backend Engineer to architect and develop the systems behind our products and research platforms. You'll design APIs, build distributed services, and tackle challenges around scale, performance, and reliability. Expect to work on meaty problems: real-time processing, large-scale data handling, and cloud-native architectures that serve millions of events.

You'll thrive here if you have strong experience with languages such as Python, Java, or Go, a deep understanding of distributed systems, and solid engineering fundamentals (testing, CI/CD, code reviews). Experience with microservices, event-driven architectures, or complex event processing is highly valued.

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Join us to shape the infrastructure that powers our products, research, and data platforms. As a DevOps / Platform Engineer, you'll build and maintain the cloud-native systems our teams rely on daily, from CI/CD pipelines to Kubernetes clusters and observability tooling. You'll help engineering teams ship faster, more safely, and with confidence.

You'll thrive here if you have hands-on experience with Kubernetes, Docker, and infrastructure-as-code tools (Terraform, Pulumi), strong scripting skills, and fluency with at least one major cloud provider. A mindset that blends automation, reliability, and developer experience is exactly what we're after.

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