and scale. The toolkit youll use Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A More ❯
within a microservices architecture Solving complex problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform What Youll Bring: Experience in working on Defence and Government projects Ideally security cleared More ❯
end solutions Drive continuous improvement and innovation across the engineering organisation Skills 5+ years of experience as a Software Engineer building modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices testing More ❯
end solutions Drive continuous improvement and innovation across the engineering organisation Skills 5+ years of experience as a Software Engineer building modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices testing More ❯
a real impact in a rapidly growing team, while working on cutting-edge AI technology. What You'll Work On: Design and implement scalable backend systems using Python (FastAPI, Flask, or Django) Integrate AI-generated code into production-ready services Take ownership of projects from idea to production collaborating across product and AI teams Experiment with LLM- and agentic-coding More ❯
and ensure alignment with business goals. Your responsibilities: Lead the design and architecture of complex Python applications, considering scalability, performance, and maintainability. Evaluate and select appropriate Python frameworks (Django, Flask, FastAPI, etc.) based on project requirements. Create detailed technical design documents, including system diagrams, data flow, and API specifications. Ensure application security, performance, and scalability. Collaborate with cross-functional teams … best practices. Strong command of Python syntax, data structures, object-oriented programming. Proficiency in database design and optimization techniques. Expertise in at least one popular Python web framework (Django, Flask, FastAPI). Understanding of RESTful APIs and web application design principles and Design Patterns. Proven track record of designing and developing large-scale Python applications. Experience in leading technical discussions More ❯
