My client, a top Tier bank in the UK, are seeking a Senior Machine Learning Engineer to work on a large scale Data Transformation programme. The Core purpose of role is to provide technical leadership and strategic direction to ensure delivery whilst helping create the vision and delivery plan for ML and A.I tools as well as ML Ops capability. Strong experience as a Machine Learning Engineer Hands-on experience in implementing, deploying and maintaining machine learning models at scale in Python, Scala, .NET or similar languages. Comfortable working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, scikit-learn, Strong understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD, containerisation) - specifically ML Ops principles, techniques and tooling Experience accessing and combining data from multiple sources and building data pipelines in a cloud environment, using large scale data computation technologies such as Apache Spark. An advanced degree in Computer Science, Machine Learning etc Strong communication skills are a must, as you will be working collaboratively across the organisation with technical and non-technical stakeholders. **Please apply if you have the above skill set** IND_PC1 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
My client, a top Tier bank in the UK, are seeking a Senior Machine Learning Engineer to work on a large scale Data Transformation programme.
The Core purpose of role is to provide technical leadership and strategic direction to ensure delivery whilst helping create the vision and delivery plan for ML and A.I tools as well as ML Ops capability.
Strong experience as a Machine Learning Engineer Hands-on experience in implementing, deploying and maintaining machine learning models at scale in Python, Scala, .NET or similar languages.
Comfortable working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, scikit-learn, Strong understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD, containerisation) - specifically ML Ops principles, techniques and tooling Experience accessing and combining data from multiple sources and building data pipelines in a cloud environment, using large scale data computation technologies such as Apache Spark.
An advanced degree in Computer Science, Machine Learning etc Strong communication skills are a must, as you will be working collaboratively across the organisation with technical and non-technical stakeholders.
**Please apply if you have the above skill set** IND_PC1 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.