Upwork is hiring a Edge Machine Learning and Large Language Model Developer - London - Contract to Hire

Edge Machine Learning and Large Language Model Developer - London - Contract to Hire

Upwork  ·  US  ·  $52k/yr - $62k/yr
over 1 year ago

Position Overview:

We are seeking a skilled and innovative Edge Machine Learning and Large Language Model Developer to join our dynamic team in London. This role focuses on developing and implementing cutting-edge machine learning algorithms and large language models (LLMs) for real-time applications on edge devices.

Key Responsibilities:

Design, develop, and optimize machine learning models, particularly large language models, for deployment on edge devices.

Collaborate with cross-functional teams to integrate ML and LLM solutions into various products and services.

Continuously research and apply the latest techniques in AI, machine learning, and natural language processing to improve model performance and efficiency.

Implement robust testing and validation strategies to ensure the accuracy and reliability of models.

Provide technical leadership and guidance in ML and LLM-related areas.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Proven experience in machine learning and natural language processing.

Strong proficiency in programming languages such as Python, C++, or similar.

Familiarity with machine learning frameworks (TensorFlow, PyTorch) and edge computing platforms.

Excellent problem-solving skills and ability to work in fast-paced environments.

Strong verbal and written communication skills.

Benefits:

Competitive salary and benefits package.

Opportunity to work with cutting-edge technologies in a rapidly evolving field.

Dynamic and supportive work environment.

Professional development and career growth opportunities.

How to Apply:

Interested candidates should submit their resume along with any relevant project/portfolio links to us. We are committed to fostering an inclusive and diverse workplace and encourage applicants from all backgrounds to apply.

Please note that this position requires the candidate to be based in London and may involve occasional travel.

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