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- Tasks: Develop and deploy cutting-edge AI/ML solutions in a dynamic financial environment.
- Company: Global financial services firm based in Glasgow, known for innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on global business with your AI/ML expertise.
- Qualifications: Degree in a relevant field and experience with Python, TensorFlow, and cloud platforms.
- Other info: Collaborative team culture with exciting challenges and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
A global financial services firm in Glasgow is looking for an Applied AIML Engineer to develop and deploy machine learning solutions. You will collaborate with cross-functional teams to design state-of-the-art AI/ML products, ensuring reliable and efficient model deployment.
Candidates should have a degree in a relevant field and experience with Python, TensorFlow, and cloud platforms. This role offers a challenging environment where your skills can directly impact global business.
Applied AI/ML Engineer — LLMs & GenAI in Production in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI/ML Engineer — LLMs & GenAI in Production in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend local meetups. 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/ML projects, especially those using Python and TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding machine learning concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Applied AI/ML Engineer — LLMs & GenAI in Production in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, TensorFlow, and cloud platforms. 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/ML and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you can fit into our dynamic environment.
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 Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python, TensorFlow, and any cloud platforms you've worked with. Be ready to discuss specific projects where you've used these technologies, as well as the challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your teamwork experience. Think about times when you successfully collaborated with others to design or deploy AI/ML products and how you contributed to the team's success.
✨Understand the Business Impact
Research the global financial services firm and understand how AI/ML can impact their business. Be prepared to discuss how your skills can help improve their operations or customer experience, showing that you’re not just a techie but also a strategic thinker.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of machine learning concepts and deployment strategies. Practice explaining complex ideas in simple terms, as you may need to communicate your solutions to non-technical stakeholders.
