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12 Engineering Roles | AI Product Company | Fully Remote UK | £70,000 – £100,000 (DOE) + Equity 

 

 

 

 

 

 

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Executive Hurdles Recruitment is supporting a fast-growing, remote-first AI product company with 12 engineering appointments across machine learning and application engineering.

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The company is building proactive, AI-native applications — bringing intelligence to conversations, tasks and workflows with minimal prompting. Small, high-talent-density team. Broad ownership. Work that reaches real users directly.

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Salary from circa. £70,000 – £100,000 plus equity. Candidates with higher salary expectations are welcome — packages are set around the individual and their experience. No sponsorship available. UK-based candidates only.

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The Roles — Highest to Most Junior

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1. Principal Machine Learning Engineer
Fully Remote UK | No sponsorship

 

The most senior ML role. Own the end-to-end ML execution layer — data, training, fine-tuning, evaluation, inference and deployment. Hands-on leadership at the intersection of research, systems and product.

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  • Built and shipped real ML systems in production — essential

  • Large-model training, fine-tuning and inference — essential

  • GPU-based workloads at meaningful scale — essential

  • Python, PyTorch or JAX | Strong systems fundamentals

 

2. Lead Software Engineer, AI Email App

Fully Remote UK | No sponsorship

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The most senior application engineering role. Own the full engineering strategy across backend, mobile and desktop — turning AI capability into a reliable product. Lead a small, senior engineering team.

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  • Significant experience leading application or product engineering — essential

  • Strong hands-on backend engineering in production — essential

  • Experience building AI-powered products with LLM integration — essential

  • Deep expertise in at least one platform (backend or client)

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3. Staff Machine Learning Engineer
Fully Remote UK | No sponsorship

 

Senior IC role with end-to-end ML ownership across data, training, evaluation, inference and deployment. Work at the intersection of research, systems and product with significant individual ownership.

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  • Experience building and shipping ML systems in production — essential

  • Large-model training, fine-tuning and inference — essential

  • GPU-based workloads at scale — essential

  • Python, PyTorch or JAX | Strong independent technical judgment

 

4. Lead Engineer, Machine Learning
Fully Remote UK | No sponsorship

 

Hands-on ML leadership. Own the execution layer of the AI stack — training pipelines, inference systems, evaluation and deployment — with high individual ownership and production accountability.

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  • Production ML systems experience — essential

  • Large-model training, fine-tuning and inference — essential

  • GPU workloads and strong systems fundamentals — essential

  • Python, PyTorch or JAX | Bias toward shipping and measuring outcomes

 

5. Technical Lead, Machine Learning
Fully Remote UK | No sponsorship

 

Technical ML leadership across the full model lifecycle. Own training pipelines, inference architecture and evaluation systems. Hands-on with production ML and close collaboration with research and product engineering.

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  • Production ML shipping experience — essential

  • Large-model and inference expertise — essential

  • Strong software engineering fundamentals

  • Python, PyTorch or JAX | Comfortable navigating ambiguity independently

 

6. Technical Lead, AI Email App
Fully Remote UK | No sponsorship

 

Technical leadership for application engineering across backend, mobile and desktop. Shape architecture, lead a small senior team and partner with ML leadership to turn model capability into shippable product.

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  • Leading application or product engineering for complex systems — essential

  • Production backend engineering — essential

  • AI-powered product or LLM integration experience — essential

  • Strong cross-platform technical judgment

 

7. Senior Machine Learning Engineer
Fully Remote UK | No sponsorship

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Independent owner of critical ML subsystems in production. Take ambiguous problems, design practical solutions and ship systems that operate reliably. Mentor and review work from other ML engineers.

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  • Built and shipped ML systems with real users — essential

  • End-to-end ownership: data, training, evaluation, inference — essential

  • Production-quality Python | PyTorch or JAX

  • Strong debugging and iteration from real production signals

 

8. Machine Learning Platform Engineer
Fully Remote UK | No sponsorship

 

Build and operate the ML infrastructure and platforms powering the AI stack — from model training and serving through to inference, observability and continuous improvement.

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  • ML infrastructure, platforms or production ML systems experience — essential

  • Model deployment, inference, evaluation or data pipeline experience — essential

  • LLM serving tooling: vLLM, SGLang or TensorRT-LLM — essential

  • Python, PyTorch or JAX | GPU infrastructure | Cloud | Vector databases

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9. Backend Engineer, AI (Agent Systems)
Fully Remote UK | No sponsorship

 

Own the inference and orchestration layer powering every AI interaction in the product. Build and operate production backend systems serving AI-powered features across mobile and desktop clients.

  • Strong backend engineering in production environments — essential

  • High-throughput, low-latency service experience — essential

  • AI inference patterns: LLMs, embeddings, multimodal — essential

  • Python, NodeJS, Kubernetes, Docker | SQL and NoSQL | OpenAI / Anthropic / open-source LLMs

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10. iOS Software Engineer
Fully Remote UK | No sponsorship

 

Own the iOS client experience — how AI feels, responds and performs in users' hands. Build a production-grade iOS application where AI interactions are central and reliability is critical.

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  • 3+ years of iOS development using Swift — essential

  • AI-powered feature integration in mobile apps — essential

  • Async/await, concurrency and background tasks — essential

  • Swift, SwiftUI, SPM | TensorFlow Lite | SQL and NoSQL

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11. Android Software Engineer
Fully Remote UK | No sponsorship

 

Own the Android client experience — how AI feels, behaves and performs on mobile. Build a production Android application where AI interactions are core and reliability matters.

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  • 3+ years of Android development using Kotlin — essential

  • AI feature integration (LLM, vision, speech APIs) — essential

  • Coroutines and Flow — essential

  • Kotlin | TensorFlow Lite | SQL and NoSQL | Published Play Store apps

 

12. Member of Technical Staff, Machine Learning
Fully Remote UK | No sponsorship

 

A foundation ML engineering role for engineers who want to build strong systems judgment by shipping, debugging and iterating on real-world ML. Working on production systems from day one.

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  • Strong ML foundations and neural network architecture knowledge — essential

  • Some hands-on training, fine-tuning or deployment experience — essential

  • Production-quality Python | PyTorch or JAX

  • Curious, coachable and eager to learn from real production systems

 

Interview Process (All Roles)

 

3 to 4 interviews. Evaluated by the technical team. Prompt decisions throughout.

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Apply now or get in touch for a confidential discussion:

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