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Lead Machine Learning Engineer
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Lead Machine Learning Engineer
Lead Machine Learning Engineer – Retail
x2 days per week in a central London office (hybrid)
About the Company
We’re working with a fast-scaling AI organisation that partners with large product and platform-led businesses to deliver machine learning systems supporting:
- Personalisation
- Demand forecasting
- Operational resilience
Their work helps clients:
- Enhance customer experience
- Optimise fulfilment and logistics
- Make smarter, data-driven decisions
This is a senior-level technical role with plenty of scope to shape:
- Architecture
- Tooling
- Delivery practices
across impactful applied AI projects.
Responsibilities
Technical Leadership
- Lead the design and development of robust machine learning platforms that power core business functions across multiple client environments
- Set technical strategy across projects, driving execution on:
- Model development
- Deployment workflows
- Infrastructure
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Collaboration & Scope
- Collaborate with:
- Engineers
- Product teams
- Stakeholders
- Translate high-level objectives into scalable ML solutions
- Manage project scoping, delivery plans, and define best practices around ML system design
Tooling & Engineering Growth
- Build shared tools and frameworks to support:
- Consistency
- Reusability
- Engineering function scale
- Mentor engineers across levels
- Contribute to hiring, capability building, and tooling decisions
Client & Commercial Engagement
- Act as the senior point of technical contact
- Help clients understand:
- Trade-offs
- Solution architecture
- Provide guidance throughout delivery lifecycle
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Requirements
Experience
- Strong experience leading end-to-end ML engineering projects, ideally with:
- Exposure to customer-centric, high-traffic environments
- Real-world experience working with:
- Docker
- Kubernetes
- Production ML pipelines
Technical Skills
- Proficiency in:
- Python
- Hands-on experience with ML frameworks such as:
- PyTorch
- TensorFlow
- Scikit-learn
- Familiarity with:
- Cloud-based deployment workflows
- Infrastructure management (AWS, Azure, GCP)
Soft Skills
- Strong communication skills, comfortable engaging across:
- Technical teams
- Commercial teams
- Executive teams
- Pragmatic and detail-oriented
- Ability to balance experimentation with reliable, scalable delivery
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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