At a Glance
- Tasks: Lead AI initiatives, develop models, and deploy software solutions for diverse business functions.
- Company: Join a forward-thinking company impacting over 200k employees with innovative AI solutions.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on technical excellence.
- Why this job: Make a real difference by solving complex business problems with cutting-edge AI technology.
- Qualifications: Advanced degree in STEM and strong Python skills required.
The predicted salary is between 63000 - 77000 £ 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 & 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.
Applied AI Lead in Glasgow employer: 慨正橡扯
At 慨正橡扯, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of Behavioral Economics and Retirement Research. Our hybrid working model not only offers flexibility but also nurtures a vibrant work culture where employees are encouraged to grow and develop their skills through meaningful projects and leadership opportunities. Join us in Europe, where your expertise will directly contribute to enhancing investor outcomes and shaping impactful business strategies.
