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Senior Full-Stack Engineer builds and evolves an AI-driven healthcare platform, integrating AI to improve clinical operations while ensuring scalable, reliable software.
Build AI-powered healthcare tools that turn clinician-patient conversations into verified documentation using speech-to-text and LLMs.
Design and automate ML pipelines using Python, MLflow, and cloud-native DevOps tools to deploy, monitor, and scale machine learning models in production.
Builds and deploys AI-powered financial advice features while owning scalable AWS infrastructure and CI/CD pipelines.
Designs and maintains scalable cloud infrastructure (AWS, Kubernetes, Terraform) for an AI startup’s platform, focusing on CI/CD, automation, and operational reliability while shaping the company’s Platform Engineering capabilities.
Senior backend engineer building core CRM and finance services for a PropTech startup using Python/FastAPI and agentic AI workflows.
Lead backend engineer building scalable APIs and systems in a hybrid role, mentoring engineers and shaping platform standards for an AI-focused product.
Builds and deploys AI compute products across multi-cloud environments, collaborating with agents and stakeholders to develop, test, and ship secure, cloud-native code solutions.
Builds production AI platforms and workflows by integrating LLMs, agents, and AI tools into scalable software systems, prioritizing clean architecture and maintainable code.
Build and modernise backend services for a regulated trading platform using Go and Java, shaping architecture for order processing and data pipelines while ensuring compliance and leveraging AI tools.
Build and maintain AI-enhanced .NET backend services in C# for real-world products, working hybrid in Newcastle.
Senior Product Manager at Lucid Software to lead AI-driven visual collaboration tools, building generative AI features and agentic workflows for teams using cutting-edge AI technologies.
Senior engineer building and deploying production-grade generative AI solutions for investment workflows, including retrieval pipelines, agents, and responsible-AI systems.
Build and scale distributed backend systems powering millions of daily customer interactions using Go, microservices, and cloud infrastructure at a CPaaS platform.
Builds AI/GenAI agentic solutions for real-world business challenges, designing scalable production systems and collaborating with cross-functional teams to prototype and deploy innovative AI products.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
AeroVect is seeking an MLOps Software Engineer to build and maintain data pipelines, manage large-scale sensor datasets, and optimize training workflows for autonomous ground handling systems. The role involves developing tooling to support perception engineers using Python, ROS2, and cloud infrastructure.
Leads product strategy for a life sciences AI data platform, defining scalable data products for clinical AI and pharma use cases while collaborating with engineering and data science teams.
Site Reliability Engineer focused on ensuring vLLM’s AI inference engine operates reliably, scalably, and with minimal downtime by designing resilient systems, improving observability, and driving incident response improvements.
Build and deploy full-stack AI applications for public-sector clients, integrating Python/Node.js/React with cloud infrastructure and LLM-driven systems.
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