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Jobs(38,923)/Software Engineer Role(2,536)/Ground Truth Labs (1) - Software Engineer
Ground Truth Labs

Ground Truth Labs - Software Engineer

Remote - UK1mo ago
RemoteEMEABiotechnologyCloud ComputingSoftware EngineerReportingGCPMySQLAzurePython

Requirements

• Essential • Essential • Strong software engineering experience across backend and frontend systems, with the ability to build and ship end-to-end products and internal tools. • Experience designing and building APIs, application services and data-intensive systems in production. • Hands-on experience working with databases and data pipelines, including designing schemas and handling messy real-world data. • Experience building systems that work across multiple data modalities, or with complex and evolving datasets. • Comfortable working in cloud environments and deploying production infrastructure or services on at least one major cloud provider. • Ability to work independently, take ownership and make progress in ambiguous, fast-moving environments. • A practical, builder mentality: you are comfortable getting stuck in, solving problems from first principles, and wearing multiple hats when needed. • UK-based or willing to relocate to the UK, with the ability to travel to London regularly. • Experience working with high-resolution image data, medical data, scientific data, or other large and complex datasets. • Experience building OCR, document extraction or other pipelines for unstructured records and reports. • Experience across both relational and non-relational databases. • Experience with infrastructure-as-code, CI/CD and cloud-native data services. • Experience working in an early-stage startup or similarly high-ownership environment. • Familiarity or an interest in healthcare, biotech, digital pathology, or machine learning-enabled products. • Experience with our chosen flavour tech-stack (Python, MySQL, GCP, Azure) • Opportunity • Opportunity • This is an opportunity to join a small, high-calibre team and take ownership of foundational engineering work at a pivotal stage of company growth. • You will work alongside talented machine learning scientists and engineers to build the platform that supports our research, partner delivery, and future products. The role is especially well suited to someone who enjoys building from the ground up, moving quickly, and having tangible impact across an organisation and field. • Working environment • Working environment • We primarily work remotely with a strong emphasis on efficient processes that enable high-quality work across asynchronous teams. At the same time, we recognise the importance of spending time together in person to share knowledge, solve hard problems, and build strong working relationships. We therefore expect this role to involve regular travel to London and Oxford. Indicatively, a typical month may involve 2-8 in-person days. • As a team, we value: • Concise and engaged communication - we communicate clearly to work effectively in a remote setting. • Pride in high-quality work - we pay attention to detail and deliver to the highest standard. • A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies • Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths. • Equality • Equality • We welcome applications from all of society. We are committed to equal employment opportunity regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and parental; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. • Impact • Impact • This is an opportunity to join a rapidly growing startup in the AI space and make a real impact in the field of blood cancer. • We are looking for software engineers who are thoughtful, rigorous, and committed to building reliable systems that matter. If you care about quality, ownership, and shipping robust products in fast-moving environments, we would love to hear from you. • Please note that when you submit an application, your data will be processed in line with our privacy policy.

Responsibilities

• Contribute production development across the core application stack, including backend services, APIs, data workflows and user-facing internal tools. • Design and build systems to ingest, organise and serve complex, multi-modal datasets, including high-resolution whole slide images, tabular clinical data and unstructured reports. • Develop robust ETL and processing pipelines to support onboarding of new collaborator datasets quickly and reliably. • Build thoughtful internal tools and interfaces that enable machine learning scientists and other technical users to access clean, well-structured data fast. • Contribute to schema and application design for evolving data models, where new data sources and formats must be integrated over time. • Collaborate closely with machine learning scientists and engineers to support model development, deployment and evaluation workflows. • Make critical architectural decisions across application, database and infrastructure layers, balancing speed, flexibility, reliability and scale. • Help develop and operate our cloud-based platform and data infrastructure, with a practical, cloud-agnostic mindset. • Work in a hands-on way across the stack, debugging issues, improving developer workflows and shipping pragmatic solutions in a small-team environment.

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