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Machine Learning / Data Science Engineer Lead
TN United Kingdom
Oxford
On-site
GBP 60,000 - 100,000
Full time
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Job summary
An innovative firm is looking for a Machine Learning Lead to spearhead application development in Oxford. This role requires a Neural Data Scientist with a robust academic background and hands-on experience in C++, Python, and Matlab. You will design and build scalable machine learning products, develop architectures, and conduct tests to push the boundaries of technology. Join a forward-thinking team that values creativity and expertise, where your contributions will shape the future of machine learning applications. If you're passionate about leveraging data to create impactful solutions, this is the perfect opportunity for you.
Qualifications
- Extensive academic and industrial experience in machine learning.
- Strong background in programming languages like C++, Python, and Matlab.
Responsibilities
- Design and deliver scalable machine learning-driven products.
- Develop machine learning architecture and conduct experiments.
Skills
Education
Tools
Job description
Machine Learning Lead required to join an application development team in Oxford, England. Our client is seeking a Neural Data Scientist with extensive academic and industrial experience in research and development, and a strong background in C++, Python, and Matlab. The role involves working on semantic modeling, deep learning, machine learning, data visualization, and statistical analysis.
Key Responsibilities:
- Designing, building, delivering, maintaining, and supporting scalable machine learning-driven products.
- Developing machine learning architecture, including layer surgery and hyperparameter tuning, across various frameworks.
- Conducting machine learning tests and experiments.
Key Skills:
- Experience with sports and animation tools and techniques.
- Knowledge of computer vision, Jira, Bash, Python, Matlab, Big Data Analysis, C++, VHDL.
- Experience with .NET Framework, Unity3D, OpenGL.
- Relevant academic Ph.D. qualification in Machine Learning.
If you believe you possess the relevant experience as described above, please apply with an updated CV. We will contact you for more details.
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