At a Glance
- Tasks: Lead a team to develop AI solutions and mentor engineers in a dynamic environment.
- Company: Join the world's largest bank transforming operations with AI/ML.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion in a supportive work culture.
- Why this job: Make a real impact in AI while leading innovative projects and teams.
- Qualifications: 10 years in software engineering and experience in AI systems required.
The predicted salary is between 100000 - 150000 £ per year.
The Applied Artificial Intelligence and Machine Learning (AI/ML) team in Infrastructure Platforms is transforming the operations of the world’s largest bank by advancing how we deliver foundational infrastructure platforms and solutions for our business, both using AI/ML in our work and the creation of AI hosting platforms.
We are looking for an Executive Director to lead the development of a small team of specialists. This team will be responsible for creating horizontal capabilities in the form of APIs, libraries, and thought leadership coupled with practical hands‑on acceleration for key products we are building. We seek a team member with a strong foundation in artificial intelligence and software engineering, along with practical experience leading the development and production operation of AI systems in enterprise environments.
As an Applied AI/ML Director within the Infrastructure Platforms group you will lead a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI advancements.
Job Responsibilities
- Assist our AI teams to directly solve for priority use cases within the domain, leveraging firm‑wide solutions and extending where needed.
- Ensure all our AI/ML solutions have security and data protection at their core.
- Design and build services and libraries that our AI teams want to use and ensure responsible AI engineering is central to how we work.
- Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning.
- Partner across our organisation to advance AI/ML understanding, share learning and embed standards.
- Drive best practice as a community leader and ensure AI practitioners in the firm stay up to date with the latest advances.
Required Qualifications, Capabilities and Skills
- Experience working in multidisciplinary AI engineering teams.
- 10 years software engineering experience including large‑scale production systems.
- Deep understanding of AI fundamentals and practical experience with data analysis and experimental design.
- Recent hands‑on experience training, deploying models and pipelines.
- Familiarity with distributed computing patterns for training, serving, persistence of state.
- Experience in building and leading high‑performing AI teams.
- Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
- Able to influence key decision makers with compelling technical arguments.
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 Director - Executive Director in Glasgow employer: hackajob
As an employer, we pride ourselves on fostering a culture of innovation and excellence within our Applied AI/ML team, where your expertise will directly contribute to transforming the operations of the world's largest bank. Located in a dynamic environment, we offer exceptional growth opportunities, a commitment to diversity and inclusion, and a collaborative atmosphere that encourages continuous learning and mentorship. Join us to lead a talented team of specialists and be at the forefront of AI advancements, making a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI/ML Director - Executive Director in Glasgow
✨Network Like a Pro
Get out there and connect with folks in the AI/ML space! Attend meetups, webinars, or industry conferences. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
Don’t just tell them what you can do—show them! Create a portfolio of your projects, especially those that highlight your AI/ML expertise. We recommend sharing this on platforms like GitHub or even your own website to make it easy for potential employers to see your work.
✨Ace the Interview
Prepare for those interviews by brushing up on both technical and soft skills. We suggest practising common AI/ML interview questions and scenarios. Remember, they want to see how you think and solve problems, so be ready to showcase your thought process!
✨Apply Through Our Website
When you find a role that excites you, 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 genuinely interested in joining our team.
We think you need these skills to ace Applied AI/ML Director - Executive Director in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in AI/ML and software engineering, and don’t forget to showcase any leadership roles you've had. We want to see how you can lead a team of specialists!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Applied AI/ML Director role. Share specific examples of your past achievements and how they relate to the responsibilities listed in the job description.
Showcase Your Communication Skills:Since exceptional communication is key for this role, make sure your application reflects that. Use clear, concise language and avoid jargon where possible. We want to see how you can convey complex ideas simply and effectively!
Apply Through Our Website:Don’t forget to apply 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 serious about joining our team at StudySmarter!
How to prepare for a job interview at hackajob
✨Know Your AI/ML Fundamentals
Make sure you brush up on your understanding of AI fundamentals and recent advancements in the field. Be prepared to discuss how these concepts apply to real-world scenarios, especially in enterprise environments. This will show that you’re not just knowledgeable but also practical in your approach.
✨Showcase Your Leadership Skills
As an Executive Director, your ability to lead and mentor a team is crucial. Prepare examples of how you've successfully led teams in the past, focusing on fostering innovation and continuous learning. Highlight any specific instances where your leadership made a significant impact on project outcomes.
✨Communicate Complex Ideas Simply
You’ll need to convey complex technical concepts to diverse audiences. Practice explaining your past projects or AI solutions in simple terms. This will demonstrate your communication skills and your ability to influence key decision-makers effectively.
✨Prepare for Technical Questions
Expect to face technical questions related to software engineering and AI/ML systems. Review your experience with large-scale production systems, data analysis, and model deployment. Being able to discuss your hands-on experience confidently will set you apart from other candidates.
