Junior Machine Learning Engineer
$56.25 - $137 per hourjobright.com
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Job Summary:
Booz Allen Hamilton International (U.K.) Ltd is seeking a Machine Learning Engineer to create innovative solutions for complex challenges in federal healthcare. In this role, you will train, test, deploy, and maintain machine learning models, collaborate with a team of professionals, and guide clients through the landscape of ML algorithms and tools.
Responsibilities:
• Train, test, deploy, and maintain models that learn from data
• Conduct statistical analyses on business processes using machine learning (ML) techniques
• Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
• Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions
• Deliver mentorship, training, and solutions to real world problems
• Process data and information at a massive scale
• Perform A/B testing tasks on statistical models, ML algorithms, and systems
• Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
Qualifications:
Required:
• 2+ years of experience with machine learning engineering, or postdoctoral research for machine learning
• Experience with natural language processing and language models
• Experience with RAG and Generative AI techniques
• Experience with programming in Python, Java, or C++
Preferred:
• Experience with developing software architectures with containerization tools, including Docker and Kubernetes
• Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches
• Experience with databases, including SQL
• Knowledge of AWS, Azure, and GCP
• Ability to work in a Linux environment with Bash Scripting
Company:
BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD is a management consulting company based out of 100 NEW BRIDGE STREET, LONDON, United Kingdom. Founded in , the company is headquartered in LONDON, GB, with a team of 11-50 employees. The company is currently Early Stage.
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Part-time
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