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- Tasks: Lead the design and deployment of innovative AI solutions using Python and AI frameworks.
- Company: A leading AI and technology company based in Manchester.
- Benefits: Continuous learning, career development, and a supportive work culture.
- Why this job: Join a passionate team and innovate in the exciting field of AI.
- Qualifications: Strong proficiency in Python and experience with TensorFlow or PyTorch.
- Other info: Ideal for individuals eager to make an impact in AI.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI and technology company in Manchester seeks an AI Solutions Lead to spearhead the design and deployment of innovative AI solutions. This role requires strong proficiency in Python and experience with AI frameworks like TensorFlow and PyTorch. The ideal candidate will work closely with senior team members to define strategies and guide the AI project lifecycle.
Opportunities for continuous learning, career development, and a supportive work culture are integral to the role, making it an ideal fit for passionate individuals looking to innovate in AI.
Lead AI Scientist – Foundation Models & LLMs in Manchester employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Scientist – Foundation Models & LLMs in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working with foundation models and LLMs. Attend meetups or webinars, and don’t be shy about asking for informational interviews – it’s all about making connections!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, TensorFlow, and PyTorch. This is your chance to demonstrate your expertise and passion for AI solutions, so make sure it’s easily accessible when you’re chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI concepts and be ready to discuss your experience with the project lifecycle. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for passionate individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves!
We think you need these skills to ace Lead AI Scientist – Foundation Models & LLMs in Manchester
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how passionate you are about innovative solutions and how you can contribute to our mission.
Highlight Relevant Experience: Make sure to showcase your experience with Python and AI frameworks like TensorFlow and PyTorch. We’re looking for candidates who can hit the ground running, so don’t hold back on your skills!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that align with the job description. We love seeing how you connect your background to what we do!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with us!
How to prepare for a job interview at IBM
✨Know Your AI Frameworks
Make sure you brush up on your knowledge of TensorFlow and PyTorch. Be ready to discuss specific projects where you've used these frameworks, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand the Project Lifecycle
Familiarise yourself with the AI project lifecycle. Be prepared to discuss how you would define strategies and guide projects from conception to deployment, highlighting any relevant experiences you've had in previous roles.
✨Emphasise Continuous Learning
This role values continuous learning, so be ready to talk about how you keep your skills sharp. Mention any courses, workshops, or personal projects that showcase your passion for innovation in AI.
