Senior/Principal AI & Data Engineer

Remote
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AI Summary

We're hiring a Senior/Principal AI & Data Engineer to help shape how intelligence is built into a sophisticated SaaS platform. This hands-on, product-focused role involves designing and building production-grade ML and data-driven features. Strong commercial experience with Python and a proven track record of building real-world ML or AI-driven features are required.

Key Highlights
Designing and building production-grade ML and data-driven features
Working closely with product and engineering to embed AI into real-world use cases
Experimenting with and implementing agentic/autonomous AI workflows
Key Responsibilities
Designing and building production-grade ML and data-driven features
Working closely with product and engineering to embed AI into real-world use cases
Experimenting with and implementing agentic/autonomous AI workflows
Developing and maintaining data pipelines and model workflows
Contributing across the stack where needed (APIs, services, integrations)
Improving performance, scalability, and reliability of AI systems
Technical Skills Required
Python Applied ML Data Modelling Experimentation Agentic Workflows Orchestration Tools Data Pipelines Transformation Structured Data Systems
Benefits & Perks
Equity included as part of the package
Fully remote within the UK
Nice to Have
Java / backend systems
Full-stack environments

Job Description


We’re partnered with a fast-scaling SaaS business building a sophisticated platform used by enterprise organisations to make smarter, data-led decisions across complex environments.



They’re now hiring a Senior / Principal AI & Data Engineer to help shape how intelligence is built into the product, from machine learning models through to emerging agentic workflows


.
This is not a “pure research” role, it’s hands-on, product-focused, and ideal for someone who enjoys taking ideas from concept to productio


n.
What You’ll Be Do

  • ingDesigning and building production-grade ML and data-driven featu
  • resWorking closely with product and engineering to embed AI into real-world use ca
  • sesDeveloping and maintaining data pipelines and model workfl
  • owsExperimenting with and implementing agentic / autonomous AI workfl
  • owsContributing across the stack where needed (APIs, services, integratio
  • ns)Improving performance, scalability, and reliability of AI syst


ems
Tech & Environ

  • mentCore: Python (machine learning, data science, AI workfl
  • ows)AI/ML: Applied ML, data modelling, experimenta
  • tionAutomation / Agents: Agentic workflows, orchestration tools (e.g. n8n or simi
  • lar)Data: Pipelines, transformation, structured data sys
  • temsBonus Exposure: Java / backend systems, full-stack environm



ents

What They’re Looki

  • ng ForStrong commercial experience with Python in a data/AI/ML c
  • ontextProven track record of building real-world ML or AI-driven features (not just note
  • books)Experience working with data pipelines and production s
  • ystemsInterest or hands-on exposure to agentic workflows / AI auto
  • mationAbility to work across teams and take ownership of end-to-end de


livery
Why Thi

  • s Role?Work on genuinely interesting AI problems, not just surface-level f
  • eaturesOpportunity to shape how AI is embedded into a growing
  • productStrong engineering culture with real ow
  • nershipEquity included as part of the
  • packageFully remote within


the UK
If you’re building AI systems that actually get used - and want to push further into modern workflows like agents and automation - this is worth a conversation. Apply directly or drop me a message for more


details.

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