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Staff Machine Learning Engineer

TieTalent

Greater London

On-site

GBP 150,000 - 200,000

30 days ago

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Join a leading entertainment organization as a Staff Machine Learning Engineer, where you'll design and deploy cutting-edge AI systems. This role offers a unique opportunity to work on innovative solutions such as large language models and generative AI while mentoring junior engineers. You'll collaborate with diverse teams and stay at the forefront of machine learning advancements. If you're passionate about AI and eager to make a significant impact in the interactive entertainment space, this is the perfect opportunity for you.

Advanced degree in a relevant STEM field is required.
Strong programming skills in Python, TensorFlow, and PyTorch.

Design and deploy machine learning and AI models for various business problems.
Mentor junior engineers and collaborate with cross-functional teams.

Python

TensorFlow

PyTorch

Machine Learning Techniques

AI Communication Skills

Advanced Degree in STEM

AI Systems

Large Language Models

Computer Vision

Staff Machine Learning Engineer - Leading Entertainment Organization

We have been a long-term partner of a renowned household name within the Interactive Entertainment space. This company is seeking to hire a Staff Machine Learning Engineer to drive the technical capabilities of their team.

Key Responsibilities:

Design, develop, and deploy various machine learning and AI-based models.
Work on a wide range of business problems to implement state-of-the-art AI systems such as large language models, generative AI, computer vision, etc.
Mentor and guide junior machine learning engineers.
Stay up-to-date with the latest advancements in machine learning and AI.
Collaborate with cross-functional teams to implement complex ML/AI products and communicate effectively with senior leadership.

Requirements:

An advanced degree in a relevant STEM field.
Strong skills in programming languages like Python, TensorFlow, PyTorch, etc.
A proven track record of delivering large-scale machine learning products.
Expertise in various machine learning and AI techniques, specifically across large language models, computer vision, and audio.
Excellent communication skills.
A background working in well-known tech companies (Meta, Google, etc.).

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