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- Tasks: Lead the design and deployment of AI solutions that drive business insights.
- Company: Join a forward-thinking company transforming industries with AI technology.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI technologies.
- Qualifications: Advanced degree in STEM and strong Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
As an Applied AI Lead in our cross-functional team you will use your advanced applied research, AI engineering and data science expertise to drive and lead complex initiatives across the Corporate Functions including Risk, Finance, Compliance and Legal. You will collaborate closely with technology and business partners to source, analyse and integrate diverse data; develop and evaluate models; architect, implement and deploy software solutions to public cloud infrastructure benefiting over 200k employees across the lines of business. You’ll solve business problems by building systems to surface insights from a wide and ever-increasing range of data sources including news, company filings, non-government organisation reports and market data. You’ll care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centred on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure.
Job responsibilities:
- Lead the design, build and deployment of impactful end-to-end AI solutions surfacing actionable insights for many business groups as part of a diverse team.
- Drive and participate in exciting research and development activities for new and existing AI products, setting technical direction and standards.
- Engage with stakeholders to understand and translate business requirements into robust technical solutions.
- Oversee the complete product and software development lifecycle, including architecture, design, coding, testing, peer review, continuous integration and deployment, and validation.
- Mentor and guide junior team members, fostering a culture of technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshops.
Required qualifications, capabilities, and skills:
- Advanced degree (Master’s or PhD) in a STEM subject (including Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics).
- Extensive practical research experience and a proven track record of applying AI and adjacent techniques to solve real-world problems in industry or academia.
- Strong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest).
- Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills.
Preferred qualifications, capabilities, and skills:
- Experience applying large language models in agentic systems in industry.
- Practical experience with graph technologies including databases and graph analytics frameworks.
- Experience in natural language processing (NLP) and its applications.
- User interface design and development experience using React.
- Exposure to public cloud technologies and microservice deployment.
- Experience in the financial services industry.
Applied AI Lead in Glasgow employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Lead in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and LLMs. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and case studies related to AI solutions. Practice makes perfect, so get a friend to quiz you!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team and contributing to exciting AI initiatives.
We think you need these skills to ace Applied AI Lead in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Applied AI Lead role. Highlight your advanced research, AI engineering, and data science expertise, and don’t forget to mention any relevant projects or technologies you've worked with.
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 your background makes you a perfect fit for our team. Be sure to connect your experiences to the specific responsibilities mentioned in the job description.
Showcase Your Technical Skills: Since this role requires strong Python programming skills and familiarity with various AI tools, make sure to include specific examples of your work with these technologies. Mention any projects where you've applied large language models or developed AI solutions.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at JPMorganChase
✨Know Your AI Stuff
Make sure you brush up on your knowledge of applied AI, especially around Large Language Models and Generative AI. Be ready to discuss specific projects where you've used these technologies and how they solved real-world problems.
✨Showcase Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your expertise. You might be asked to solve a coding problem or explain how you've used libraries like pandas or PyTorch in past projects.
✨Engage with Stakeholders
Be prepared to talk about how you've previously engaged with stakeholders to translate business requirements into technical solutions. Share examples that highlight your communication skills and ability to lead teams.
✨Highlight Your Mentorship Experience
If you've mentored junior team members before, make sure to mention it! Discuss how you've fostered a culture of technical excellence through knowledge sharing and collaborative work, as this is key for the role.