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For Companies At a Glance
- Tasks: Lead large-scale Generative AI projects and collaborate with diverse teams.
- Company: Join a leading financial institution at the forefront of technology innovation.
- Benefits: Enjoy hybrid working, competitive day rates, and potential for contract extension.
- Why this job: Make a major impact on groundbreaking AI projects and push the boundaries of technology.
- Qualifications: Expertise in AI, Machine Learning, and Generative AI is essential.
- Other info: Opportunity to work with cutting-edge technologies and a dynamic team.
The predicted salary is between 43200 - 72000 £ per year.
Lead AI Engineer Generative AI London Overview: Leading financial institution searching for a Generative AI Engineer to join an impressive, bleeding-edge Technology team that converts ambitious concepts and brings them to life by engineering cutting-edge products and deploying them on a global scale! As a Generative AI Engineer, you will be involved in worldwide Generative AI and LLM integrations and transformations. Opportunity for major impact on project zero-to-one. Join an innovative team pushing the boundaries of AI! Keywords: Engineering, AI, Machine Learning, Generative AI, Prompt Engineer Details Day rate: £800- Inside IR35 Start date: ASAP Duration: end date 31/10/2025 (highly likely to be extended) Hybrid working – 3 days/week in the office The Team: The team’s primary focus lies in cutting-edge technology and engineering fields, including generative AI, cloud computing, cybersecurity, contemporary application stacks, open-source solutions, and the latest advancements within the Kubernetes ecosystem. Responsibilities of a Generative AI Engineer: You’ll be at the helm of large-scale GenAI projects, collaborating with diverse teams to deliver strategic outcomes. Your technical expertise will guide architectural designs, assess technologies, and ensur…
Lead AI Engineer employer: McGregor Boyall Associates
Contact Detail:
McGregor Boyall Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in Generative AI and LLM technologies. Being well-versed in these areas will not only boost your confidence but also demonstrate your passion and commitment to the field during discussions.
✨Tip Number 2
Network with professionals in the AI and machine learning community. Attend relevant meetups, webinars, or conferences to connect with like-minded individuals and industry leaders who can provide insights and potentially refer you to opportunities.
✨Tip Number 3
Showcase your hands-on experience with projects related to Generative AI. Whether through personal projects, contributions to open-source, or previous work, having tangible examples of your skills will set you apart from other candidates.
✨Tip Number 4
Stay updated on the latest trends in cloud computing and cybersecurity as they relate to AI. Understanding how these fields intersect will enhance your ability to contribute to the team and align with the company's innovative goals.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead AI Engineer position. Understand the key responsibilities and required skills, especially in Generative AI and Machine Learning, to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Generative AI, LLM integrations, and any large-scale projects you've led. Use specific examples that demonstrate your impact and technical expertise.
Showcase Technical Skills: Clearly outline your technical skills related to AI, cloud computing, and contemporary application stacks. Mention any relevant tools or technologies you are proficient in, such as Kubernetes or open-source solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your passion for AI and innovation. Explain why you want to join this particular team and how you can contribute to their ambitious projects.
How to prepare for a job interview at McGregor Boyall Associates
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with generative AI, machine learning, and cloud computing. Highlight specific projects where you've led the development of AI solutions, focusing on your role in architectural design and technology assessment.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to tackle complex challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing how you approached and solved real-world problems in previous roles.
✨Familiarize Yourself with the Latest Trends
Stay updated on the latest advancements in generative AI and related technologies. Be ready to discuss how these trends can impact the financial sector and how you envision integrating them into existing systems.
✨Emphasize Collaboration and Teamwork
Since the role involves working with diverse teams, share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and your ability to work in a hybrid environment.
