Applied AI Lead

Fairygodboss

Glasgow

On-site

GBP 120,000 - 190,000

Full time

14 days+

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Job summary

J.P. Morgan is seeking an Applied AI Lead to drive and lead complex initiatives across corporate functions. The role combines applied research, AI engineering and data science to architect and deploy AI solutions that benefit multiple business groups in a cloud-based environment.

You will lead end-to-end development, guide a cross-functional team, and mentor junior engineers while collaborating with business partners to translate needs into robust, scalable systems using Python and AWS.

Qualifications

  • Advanced degree in a STEM subject with strong research experience applying AI and related techniques to real-world problems.
  • Strong Python programming skills and familiarity with the Python data science stack (Pandas, NumPy, Scikit-learn, PyTorch).
  • Proven ability to lead technical teams and manage stakeholders with effective communication.

Responsibilities

  • Lead design, build and deployment of end-to-end AI solutions surfacing actionable insights for multiple business groups.
  • Drive and participate in R&D activities for new and existing AI products, setting technical direction.
  • Engage with stakeholders to translate business requirements into robust technical solutions.
  • Oversee the complete product and software development lifecycle, including architecture, design, coding, testing, CI/CD and validation.
  • Mentor and guide junior team members, fostering technical excellence through knowledge sharing.

Skills

Python
Leadership
Stakeholder mgmt
Data science
Research
Communication

Education

PhD or MSc in STEM

Tools

Pandas
NumPy
Scikit-learn
PyTorch
AWS
Docker

Job description

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 & evaluate models; architect, implement & 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
ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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