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- Tasks: Develop and deploy advanced AI solutions that drive real business impact.
- Company: Global leader in professional services with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join us to shape the future with cutting-edge technology and diverse teams.
- Qualifications: Expertise in machine learning, Python, SQL, and experience with Databricks and Azure ML.
- Other info: Dynamic work environment with a commitment to building a better world.
The predicted salary is between 48000 - 72000 £ per year.
A global leader in professional services is looking for an AI Engineer in London. This role demands expertise in machine learning and deploying advanced LLM solutions that drive business impact.
Candidates should have experience in developing AI applications across various domains such as finance and supply chain, and proficiency in tools like Databricks and Azure Machine Learning. Strong programming skills in Python and SQL are essential.
Join us to build a better working world with cutting-edge technology and diverse teams.
Senior AI Engineer: Enterprise ML & LLM Solutions (London) employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Enterprise ML & LLM Solutions (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving machine learning and LLM solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tools like Databricks and Azure Machine Learning, and don’t forget to highlight your programming prowess in Python and SQL.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to showcase how your skills align with the role of Senior AI Engineer and the impact you can make.
We think you need these skills to ace Senior AI Engineer: Enterprise ML & LLM Solutions (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and LLM solutions. We want to see how your skills in Python, SQL, and tools like Databricks and Azure Machine Learning can drive business impact.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your background in finance or supply chain makes you a perfect fit for this role. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any AI applications, don’t hold back! Share specific examples of projects you've developed, especially those that demonstrate your expertise in deploying advanced solutions. We love seeing real-world impact!
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. Don’t miss out!
How to prepare for a job interview at EY
✨Know Your Tech Inside Out
Make sure you’re well-versed in machine learning concepts and the specific tools mentioned, like Databricks and Azure Machine Learning. Brush up on your Python and SQL skills, as you might be asked to solve coding problems or discuss your previous projects in detail.
✨Showcase Relevant Experience
Prepare to discuss your experience in developing AI applications, especially in finance and supply chain. Have specific examples ready that demonstrate how your work has driven business impact, as this will resonate with the interviewers.
✨Understand the Company’s Vision
Research the company’s mission and values, particularly their focus on building a better working world. Be ready to explain how your skills and experiences align with their goals, and how you can contribute to their diverse teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team you’ll be working with. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you. Consider asking about the challenges they face in deploying LLM solutions or how they measure success in AI projects.
