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Machine Learning Engineer - Bioimage Data & Agentic Systems

Dataflight
Oxford
1 month ago
Applications closed

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Machine Learning/AI Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer, London

Machine Learning Engineer, London (Basé à London)

Machine Learning Engineer - Up to £150k + Equity

The Challenge: 80 Hours or 1 Hour?

Advanced 3D microscopes generate terabytes of data daily, with a single scan taking over 80 hours to analyze. This massive data bottleneck is holding back critical research into cancer, Alzheimer's, and other diseases. At Dataflight, we're breaking that barrier. Our core technology, the Adaptive Particle Representation (APR), cuts data size and processing time by over 10x, turning an 80-hour problem into a 1-hour one.

We are building the world's first agent-first data platform to unlock the full potential of 3D imaging-based discovery. We're looking for a pioneering AI Engineer to join us as employee #3 and lead the creation of intelligent agents that can see, reason about, and interact with complex biological data.

What You'll Do

  • Pioneer Agentic AI: Own and lead the development of all AI-driven features, from internal automations to powerful user-facing tools.
  • Explore & Prototype: Work directly with the founders in a fast-paced environment to rapidly build and test proofs-of-concept for new use-cases.
  • Build & Deploy: Take successful prototypes and transform them into robust, production-ready services integrated into our cloud platform.
  • Shape the Product: Go beyond the code to contribute to product strategy, user experience, and the technical roadmap, ensuring we're building what matters.
  • Drive Innovation: Stay at the cutting edge of the AI landscape and champion the integration of new, state-of-the-art technologies into our platform.

Who You Are

  • An Agent Architect: You've gone beyond simple API calls. You have demonstrable experience designing, building, and deploying sophisticated agent-based systems or complex LLM-powered applications. You think deeply about agent reliability, tool use, and reasoning.
  • A "Get Shit Done" Pioneer: You are a highly independent and resourceful engineer who thrives in the ambiguity of a startup. You can take a visionary goal and drive it from concept to a deployed, high-quality product.
  • A Curious Innovator: You're excited by the challenge of applying cutting-edge AI to a completely new domain. You dream about what's possible and have the skills to build it.
  • A Strong Python Engineer: You have deep expertise in Python and the modern AI stack (e.g., PyTorch, LangChain/LlamaIndex, etc.).
  • Bonus Points: You have experience with computer vision (CNNs/ViT), C++, ML tranining, scientific or cloud computing, web-app development (JS), back-end development, WASM, 3D bio-imaging, or have worked with large-scale, multi-modal data.

Why Join Dataflight? A Unique Founding Opportunity.

  • Define the Future as Employee #3: You will be a foundational pillar of our company. You'll have unparalleled influence, autonomy, and the opportunity to shape our product, culture, and technical direction from the ground up.
  • Join a Deeply Technical & Experienced Team: Our co-founders have over a decade of experience in this space, with a proven track record in previous startups, building cloud SaaS products, and deep expertise across software engineering and machine learning.
  • Solve a Problem That Matters: Your work will directly accelerate research into curing diseases. You'll build the tools that help scientists make discoveries that were previously impossible.
  • Career-Defining Work: The systems you build will be novel and at the cutting-edge of applied AI. This is an opportunity to do career-defining work and become a recognized leader in the application of AI to scientific discovery.
  • Well-Funded & Supported: We are backed by Innovate UK smart grant and seed investment from the Wyss Center for Bio and Neuroengineering, giving us a solid runway to achieve our ambitious vision.

Ready to Build the Future?

If you're an ambitious AI Engineer excited by this challenge, we would love to hear from you.

National AI Awards 2025

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