3 of 3 Remote Distributed Applications Jobs in the City of London

pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a … disciplines , working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with Kubernetes , AWS , and modern cloud infrastructure . Proficiency with More ❯

pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a … disciplines , working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with Kubernetes , AWS , and modern cloud infrastructure . Proficiency with More ❯

pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a … disciplines , working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with Kubernetes , AWS , and modern cloud infrastructure . Proficiency with More ❯