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For Companies At a Glance
- Tasks: Lead AI initiatives, develop models, and deploy software solutions for diverse business functions.
- Company: Join a forward-thinking company that values diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic team atmosphere await you.
- Why this job: Make a real impact using cutting-edge AI technologies in a collaborative environment.
- 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 & evaluate models; architect, implement & deploy software solutions to public cloud infrastructure benefiting over 200k employees across the lines of business. You will 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 will 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 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. 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 Lead in Glasgow employer: hackajob
Contact Detail:
hackajob 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 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 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. Practising with a friend can help you articulate your thought process clearly.
✨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!
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 mention specific examples of how you've solved real-world problems using AI.
Showcase Your Technical Skills: Since this role requires strong Python programming skills and familiarity with various AI tools, make sure to list these prominently in your application. If you have experience with LLMs, NLP, or cloud technologies, definitely include that too!
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 hackajob
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially around Large Language Models and Generative AI. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical experience and understanding.
✨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. Practice coding challenges beforehand to boost your confidence!
✨Engage with Stakeholders
Be prepared to talk about how you've engaged with stakeholders in previous roles. Think of examples where you translated business requirements into technical solutions. This shows your ability to communicate effectively and understand the bigger picture.
✨Highlight Team Leadership
As a potential lead, you'll need to showcase your leadership skills. Share experiences where you've mentored junior team members or led a project. Emphasise your approach to fostering a culture of collaboration and technical excellence within your team.