Machine Learning Engineer

Robert Half have an exciting opportunity with a fast growing technology company in search of a MLOps Engineer to work alongside an established product and data team on creating robust frameworks and deploy machine learning models into production.

My client is offering a great reward package, including:

• £60,000 to £80,000 experience dependant
• Remote working (offices in London and Edinburgh)
• Flexible working
• Annual success sharing bonus scheme
• No restriction on holiday allowance, trusted to manage workload and time
• Rewards scheme, pension scheme, cycle to work and much more

The role includes:

• Sagemaker machine learning development pipelines
• Implementing monitoring and alerting for production model performance and accuracy
• Model optimization
• Deliver reusable software and modelling artefacts
• Continuous model training and deployment
• Collaborate with product managers, data scientists and engineering teams to integrate machine learning capabilities within the wider product offering

The ideal candidate will have:

• Bachelor's degree or equivalent practical experience.
• Industry experience with machine learning pipelines
• Experience with kubernetes is a desirable
• Experience with one or more of Hive, Kafka, Impala or HDFS is also a desirable
• Working knowledge of AWS (Sage maker or cloudformation is desired)
• Proficiency with python and experience with ML frameworks such as PyTorch and TensorFlow
• The ability to forge strong relationships with clients and team members.
• Prove ability to deliver end-to-end solutions

If you feel this role is for you, please apply and I'll be in touch with you in due course.

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