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- Tasks: Design and develop AI/ML solutions to tackle data management challenges.
- Company: Join J.P. Morgan's innovative Applied AI ML team.
- Benefits: Competitive salary, diverse teams, and career acceleration opportunities.
- Other info: Embrace a collaborative culture focused on innovation and transformation.
- Why this job: Shape the future of data and AI while making a global impact.
- Qualifications: Expertise in AI/ML, Python, and data manipulation required.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Join us to shape the future of data, analytics, and AI at JPMorgan Chase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You’ll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally.
As a Vice President, Applied AI ML Lead in the Firmwide Chief Data Office’s Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning.
Job Responsibilities
- Design and develop AI/ML solutions for data management challenges
- Build prototypes to demonstrate value to stakeholders
- Collaborate with business lines and corporate functions to identify needs
- Partner with engineering and data science teams for solution delivery and integration
- Maintain comprehensive documentation of models, experiments, and processes
- Deliver written, visual, and oral presentations of modeling results to stakeholders
- Stay current with research in LLM, ML, and data science
- Identify and leverage emerging techniques to enhance solutions
Required Qualifications, Capabilities, And Skills
- Formal training or certification in data and AI/ML concepts with expert applied experience
- Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL
- Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher
- Demonstrated ability to solve complex problems with multiple constraints
- Ability to articulate business needs to technical leadership and technical issues to business leadership
- Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders
Preferred Qualifications, Capabilities, And Skills
- Experience using AI agents and copilots to enhance business processes or user experiences
- Experience with data management
The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorgan Chase’s data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Applied AI ML Lead in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI ML Lead in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied AI ML Lead role. Highlight your experience with AI/ML solutions and data management, as this will show us you understand what we're looking for.
Showcase Your Technical Skills: Don’t hold back on your technical expertise! We want to see your experience with Python and SQL, so include specific examples of projects where you've used these skills to solve complex problems.
Be Solution-Oriented: We love a solution-oriented mindset! In your application, share instances where you've identified needs and delivered impactful solutions, especially in collaboration with diverse teams.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at hackajob
✨Know Your AI and ML Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially those relevant to data governance. Be ready to discuss your experience with Python and SQL, as well as any projects where you've tackled complex data challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've solved intricate problems in past roles. Think about specific instances where you identified needs and delivered impactful solutions, and be ready to explain your thought process clearly.
✨Collaborate Like a Pro
Since this role involves working with diverse teams, practice articulating how you've successfully collaborated with engineers, designers, and business leaders. Highlight your ability to bridge the gap between technical and non-technical stakeholders.
✨Present with Confidence
You’ll need to deliver presentations of your modelling results, so practice summarising complex information into clear, engaging narratives. Use visuals if possible, and be prepared to answer questions that demonstrate your depth of understanding.