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Norton Blake
Machine Learning Engineer
£80k
- £110k
London
In office
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Description
Machine Learning Engineer, ML Engineer, Hybrid, up to 110k
London (Hybrid - 5 days a month)
£80,000 - £110,000 depending on experience
My client, a RegTech leader, is looking for a Machine Learning Engineer to join a growing AI/ML team working on cutting-edge NLP, search, and classification problems. This is a chance to shape and productionise ML solutions that directly impact a global user base in financial services.
What You’ll Do
Design, build, and productionise ML/NLP models for large-scale SaaS products and APIs
Write clear, modular, testable Python code and deploy via modern CI/CD pipelines
Improve performance and scalability of models, data ingestion, cleaning, and pipelines
Explore new ML/NLP techniques and keep the team up to date with research trends
Propose cloud architectures and ensure robust ML operations (MLOps)
Collaborate through code reviews, knowledge sharing, and documentation
What We’re Looking For
Strong experience working with textual data and NLP
Proven ability to write clean, testable Python code
Familiarity with SQL and NoSQL/graph databases
Hands-on experience with ML/DL frameworks (eg PyTorch, TensorFlow, Hugging Face)
End-to-end cloud deployment experience (AWS, GCP, or Azure)
Solid grasp of data structures, modelling, and cloud-based architecture
A systems thinker with a passion for MLOps best practices
Strong maths/stats grounding and ability to collaborate with research-oriented colleagues
Please apply for more information
Machine Learning Engineer, ML Engineer, Hybrid, up to 110k
Role tech stack
AWS
TensorFlow
Python
PyTorch
SQL
Norton Blake
Machine Learning Engineer
£80k - £110k
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