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- Tasks: Develop and implement advanced machine learning solutions that drive business impact.
- Company: Leading global advisory firm with a focus on AI and technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on impactful projects in a dynamic team.
- Qualifications: Deep understanding of LLMs, AI technologies, and strong collaboration skills.
- Other info: Exciting environment with opportunities to transform ideas into actionable insights.
The predicted salary is between 48000 - 72000 £ per year.
A leading global advisory firm is looking for a highly skilled AI Engineer in Manchester to develop and implement advanced machine learning solutions that drive business impact. The role requires a deep understanding of LLMs and AI technologies, along with experience in data analysis and programming. The ideal candidate will also possess strong collaboration skills and the ability to transform ambiguous requirements into actionable insights. Join this dynamic team and contribute to shaping the future of AI and technology.
Senior AI Engineer — Enterprise ML & LLM Solutions in Manchester employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer — Enterprise ML & LLM Solutions in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI technologies. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to machine learning and be ready to discuss how you've tackled ambiguous requirements in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly shows your enthusiasm for joining our dynamic team.
We think you need these skills to ace Senior AI Engineer — Enterprise ML & LLM Solutions in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing candidates who can transform complex ideas into clear, actionable insights.
Showcase Collaboration Skills: Since this role involves working closely with others, make sure to mention any teamwork experiences. We value collaboration, so share examples of how you've successfully worked in teams to tackle challenges.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss specific projects where you've implemented these technologies, as well as the challenges you faced and how you overcame them.
✨Showcase Your Data Analysis Skills
Prepare to demonstrate your data analysis capabilities. Bring examples of how you've transformed raw data into actionable insights in previous roles. This could involve discussing the tools you used and the impact your analysis had on business decisions.
✨Collaboration is Key
Since this role requires strong collaboration skills, think of examples where you've worked effectively in a team. Be ready to share how you communicated complex AI concepts to non-technical stakeholders and how you contributed to a successful project outcome.
✨Transform Ambiguity into Clarity
Be prepared to discuss how you've handled ambiguous requirements in the past. Think of a situation where you took unclear instructions and turned them into a clear plan of action. This will show your problem-solving skills and ability to adapt in a fast-paced environment.
