Graduate AI ML Engineer

New Yesterday

Responsibilities : # Work closely with the Data Science team to introduce automation and enhancement in their machine learning pipelines.
# Manage the infrastructure and orchestration pipelines needed to automatically train and deploy machine learning models to production.
# Implement solutions to monitor the performance of machine learning models in production over time.
# Collaborate with other technical experts, including Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists.
# Interact with domain experts from various industries to understand and address challenging problems.
# Explore and understand client data related to the problem and communicate findings effectively to clients and stakeholders.

About the candidate:
# A minimum Bachelor's degree in Computer Science or related field is required; a Master's degree in Data Science or Artificial Intelligence is preferred.
# Excellent communication skills; ability to articulate complex information clearly to diverse audiences.
# Strong understanding of computer science concepts (databases, software engineering practices, cloud computing, especially AWS) and data science (machine learning processes).
# Proficiency in Python, including frameworks like PyTorch, TensorFlow, and scikit-learn, with initial knowledge of LangChain, RAG, and CI/CD pipelines.
# A growth mindset, eager to learn and take on new challenges.
# Flexibility for business travel and positive attitude towards working across different client projects.

Reply is an Equal Opportunities Employer committed to diversity and inclusion. We provide equal employment opportunities and prohibit discrimination and harassment of any kind, regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin color, marital status, or parental status. Please inform us of any reasonable adjustments needed during the recruitment process.
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Location:
Plumstead, Greater London
Job Type:
FullTime

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