Head of AI and Optimisation
Logik Source, Newtown, Cambridge
Head of AI and Optimisation
Salary not available. View on company website.
Logik Source, Newtown, Cambridge
- Full time
- Permanent
- Onsite working
Posted 2 days ago, 27 Aug | Get your application in today.
Closing date: Closing date not specified
Job ref: f52895d18fd8411085f062469e5d328d
Location ref: Newtown, Cambridge
Full Job Description
About the role Based between London and Cambridge, this hybrid opportunity (3 days per week) focuses on the development of disruptive technologies for HPC, AI/ML technologies for real-time imaging. We are looking for someone to develop algorithms to optimise metaheuristic optimisation and to develop and test code. Responsibilities
- Develop and optimise algorithms for metaheuristic optimisation.
- Develop and test code.
- Apply AI/ML techniques.
- Build and maintain cloud-based data pipelines for large-scale test data processing for data centres. Qualifications
- Good relevant degree or PhD.
- Proficiency in algorithm software development using Python, C++ or C#.
- Passion for AI with up-to-date knowledge of current approaches and industry trends.
- Experience in metaheuristic optimisation.
- Experience with AI/ML techniques.
- Exposure to cloud-based data pipelines for large-scale data processing. The successful candidate could be a fresh PhD graduate or someone with extensive experience. We offer a wide salary band, so please apply if you have any experience in metaheuristic optimisation or AI-lead experience. This role can flex between the two. Benefits include excellent benefits, share options, flexible working and a bonus. Employment Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Design
- Industries: Semiconductor Manufacturing; IT System Testing and Evaluation; Appliances, Electrical, and Electronics Manufacturing
Good relevant degree or PhD. - Proficiency in algorithm software development using Python, C++ or C#.
- Passion for AI with up-to-date knowledge of current approaches and industry trends.
- Experience in metaheuristic optimisation.
- Experience with AI/ML techniques.
- Exposure to cloud-based data pipelines for large-scale data processing. The successful candidate could be a fresh PhD graduate or someone with extensive experience. We offer a wide salary band, so please apply if you have any experience in metaheuristic optimisation or AI-lead experience. This role can flex between the two.