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For Companies At a Glance
- Tasks: Lead AI projects, mentor teams, and develop innovative AI solutions.
- Company: Join ClearRoute, a consultancy focused on Quality Engineering and Cloud Platforms.
- Benefits: Enjoy a hybrid work model and a supportive, inclusive culture.
- Why this job: Shape the future of AI while driving impactful change in organisations.
- Qualifications: Experience in Python, ML frameworks, and cloud platforms is essential.
- Other info: We celebrate individuality and are committed to an inclusive workplace.
The predicted salary is between 43200 - 72000 £ per year.
About Us: We are an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. We want to create a collaborative team to help build ClearRoute. This is an opportunity for you to build a consultancy from the ground up, use your voice to drive change and help transform organisations and problem domains.
About the Role: Many of our customers are struggling with their Route to Live for their AI initiatives; they may have successfully built models, but struggle to package and deploy them to production, or they see the opportunities presented with the new iteration of foundation models but struggle to build the platforms to leverage these transformational tools. To help our customers deliver their AI outcomes, we are seeking an experienced and visionary AI Engineering Lead to help our customers drive their AI strategy, oversee the development of cutting-edge AI solutions, and lead teams of talented engineers. The ideal candidate will have a strong background in data, artificial intelligence, machine learning, and software engineering, along with leadership experience in managing AI-driven projects.
Key Responsibilities:
- Leadership & Strategy: Define and execute the AI roadmap, ensuring alignment with business objectives and be a champion for experiment-based, iterative AI product development.
- Team Management: Lead, mentor, and grow teams of AI engineers and software developers working with our client's data scientists and domain experts.
- AI Development: Architect, develop, and deploy scalable AI platforms and products.
- Collaboration: Work closely with product managers, engineers, data scientists, domain experts and stakeholders to integrate AI into products and services.
- Innovation & Research: Stay updated on the latest AI trends, tools, and best practices to drive innovation.
- Code Review & Quality Assurance: Maintain our high coding standards and ensure the reliability and performance of our clients' AI platforms.
- Stakeholder Management: Cultivate and manage relationships with key clients and partners, ensuring technical alignment with business goals and high levels of satisfaction.
Qualifications & Experience:
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and MLOps.
- Experience with data engineering, big data technologies, and model optimisation.
- Familiarity with NLP, computer vision, or reinforcement learning is a plus.
What Next? ClearRoute is committed to creating an inclusive working environment where people can be themselves at work. We celebrate individuality and our differences. We understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, please let us know by emailing us at . If you see yourself taking on this exciting new opportunity, just click the 'Apply Now' button and submit your CV.
Department: Engineering
Locations: London
Remote status: Hybrid
Employment type: Full-time
AI Engineering Lead employer: ClearRoute
Contact Detail:
ClearRoute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Lead
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss recent advancements or tools during your interview will show that you're not only knowledgeable but also passionate about the field.
✨Tip Number 2
Prepare to showcase your leadership experience. Think of specific examples where you've successfully led a team or project, particularly in AI or software engineering, as this role heavily emphasises team management.
✨Tip Number 3
Network with professionals in the AI and engineering consultancy space. Engaging with industry peers can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Be ready to discuss how you would approach integrating AI into existing products. Think about potential challenges and solutions, as this will demonstrate your strategic thinking and problem-solving skills.
We think you need these skills to ace AI Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, machine learning, and software engineering. Emphasise any leadership roles you've held and projects where you've successfully deployed AI solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your vision aligns with ClearRoute's mission. Mention specific experiences that demonstrate your ability to lead teams and drive AI strategy.
Showcase Relevant Skills: Clearly list your proficiency in Python, TensorFlow, and cloud platforms like AWS or Azure. If you have experience with NLP or computer vision, make sure to highlight that as well.
Prepare for the Interview: Research ClearRoute's recent projects and their approach to AI. Be ready to discuss how you would define and execute an AI roadmap and how you can contribute to building a collaborative team.
How to prepare for a job interview at ClearRoute
✨Showcase Your Leadership Skills
As an AI Engineering Lead, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully managed projects and guided teams in the past, focusing on your leadership style and how it aligns with the company's values.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with Python, TensorFlow, and cloud platforms like AWS or Azure. Highlight specific projects where you’ve architected or deployed AI solutions, showcasing your technical skills and understanding of MLOps.
✨Understand the Business Context
Familiarise yourself with the challenges that companies face in deploying AI initiatives. Be prepared to discuss how you can help clients overcome these obstacles and align AI strategies with their business objectives.
✨Stay Updated on AI Trends
Research the latest trends and innovations in AI, especially in areas like NLP and computer vision. Being knowledgeable about current developments will show your passion for the field and your commitment to driving innovation within the company.
