Ref: 146555_1776779588
Job description
Senior ML Engineer (Onshore positions)
Strong proficiency in Python, familiarity with popular libraries, and the standard ML Python stack.
Knowledge of frameworks for building complex ML models (e.g. TensorFlow, PyTorch or Keras)
Ability to preprocess and feature engineer data (cleaning, transformation, feature extraction)
Ability to deploy and serve models in prod ready environments (requiring knowledge of containerisation, orchestration, and model serving platforms - docker, Kubernetes, TensorFlow etc).
Familiar with model interpretability and explainability and techniques to interpret and explain model results (e.g. SHAP, LIME) *
Exp in Machine Learning (must be confident about what they're stating).
Familiarity with ML Ops - not just build models but build it in the right way & deploys it as a Machine Learning Operational Platform.
Azure Databricks expertise is a must have
Knowledge of Spark for big data processing
knowledge of common deep learning approaches
Knowledge of ML Flow for lifecycle management (Bonus).
LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
Strong proficiency in Python, familiarity with popular libraries, and the standard ML Python stack.
Knowledge of frameworks for building complex ML models (e.g. TensorFlow, PyTorch or Keras)
Ability to preprocess and feature engineer data (cleaning, transformation, feature extraction)
Ability to deploy and serve models in prod ready environments (requiring knowledge of containerisation, orchestration, and model serving platforms - docker, Kubernetes, TensorFlow etc).
Familiar with model interpretability and explainability and techniques to interpret and explain model results (e.g. SHAP, LIME) *
Exp in Machine Learning (must be confident about what they're stating).
Familiarity with ML Ops - not just build models but build it in the right way & deploys it as a Machine Learning Operational Platform.
Azure Databricks expertise is a must have
Knowledge of Spark for big data processing
knowledge of common deep learning approaches
Knowledge of ML Flow for lifecycle management (Bonus).
LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

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