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Full-time
Hybrid
Posted 3 hours, 1 minute ago
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Job Description
🚀
**Senior Machine Learning Engineer \| Software Engineering Focus**
📍 London (Hybrid) \| 💰 £95k \- £110k \+ Benefits
Omnis Partners is partnering with a leading AI consultancy delivering
**production\-grade AI systems**
to global organisations.
This role is
**firmly engineering\-led**
ideal for someone who started in software engineering and moved into machine learning, not the other way around.
💡
**The Opportunity**
You’ll be building
**robust, scalable ML systems that actually run in production**
, not just models in notebooks.
Think:
**clean code, system design, reliability, and scale applied to machine learning.**
⚙️
**What You’ll Be Doing**
* Leading architecture and design of
**production ML systems.**
* Building
**high\-quality, maintainable software**
for ML applications.
* Developing scalable infrastructure, tooling, and deployment pipelines.
* Driving engineering best practices across ML delivery.
* Working directly with clients to deliver real\-world solutions.
* Mentoring engineers and raising the bar on code quality and design.
🧠 What We’re Looking For
* Strong
**software engineering background (preferable).**
* Expert Python skills with a focus on
**clean, scalable systems.**
* Experience deploying and maintaining ML systems in production.
* Hands\-on with
**TensorFlow or PyTorch.**
* Strong experience with
**cloud (AWS/Azure/GCP).**
* Production experience with
**Docker \& Kubernetes.**
* Comfortable owning systems end\-to\-end in fast\-paced environments.
* **Experience in financial services environments essential.**
🎯
**Why This Role?**
* Engineering\-first culture
**not research\-heavy, not experimental\-only.**
* Work on ML systems that
**scale, ship, and deliver value.**
* High ownership, high impact environment.
* Strong package \+ benefits.
* Flexible / hybrid working.
* Real opportunity to shape how ML is engineered at scale.
Apply if you come from a
**software engineering background and now build ML systems properly in production**
this is exactly that kind of role.
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