Machine Learning Engineer

Diagonal recruitment

Greater London, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Artificial Intelligence Amazon Web Services Application Lifecycle Management Microsoft Azure Python (Programming Language) Machine Learning Tensorflow Standard Sql Software Deployment Reinforcement Learning Cloud Platform System Pytorch

+5 more

Large Language Models Git Scikit Learn Data Analytics Machine Learning Operations

Job description

We work with organisations looking to build, optimise and operationalise machine learning capabilities that create measurable business value. The focus is on production deployment, performance and maintainability rather than experimentation alone.

Role Overview

Develop, train and optimise machine learning models
Evaluate model performance and improve accuracy
Build reusable machine learning pipelines
Support deployment and monitoring of models in production
Collaborate with engineering, product and data teams
Contribute to model governance and lifecycle management

Tools & Technologies (required0

Python
Scikit-learn
PyTorch and/or TensorFlow
MLflow or equivalent
SQL
Git
Cloud environments including AWS, Azure or GCP

Highly preferred

Experience with foundation models
Exposure to reinforcement learning
Knowledge of AI evaluation frameworks

About You

Comfortable balancing experimentation with operational requirements
Data-driven and analytical
Curious but pragmatic
Able to explain technical concepts to non-technical stakeholders

Additional Information & Benefits

Permanent, contract and advisory engagements
Ideal for practitioners who have deployed models into production environments

Requirements

Experience with foundation models
Exposure to reinforcement learning
Knowledge of AI evaluation frameworks, * Comfortable balancing experimentation with operational requirements
Data-driven and analytical
Curious but pragmatic
Able to explain technical concepts to non-technical stakeholders