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- Tasks: Lead AI projects, mentor teams, and develop innovative AI solutions.
- Company: Join ClearRoute, a dynamic consultancy focused on Quality Engineering and Cloud Platforms.
- Benefits: Enjoy a hybrid work model, inclusive culture, and opportunities for personal growth.
- Why this job: Be at the forefront of AI innovation and make a real impact in transforming organisations.
- Qualifications: Proficient in Python and ML frameworks; experience in cloud platforms and data engineering required.
- Other info: We celebrate individuality and are committed to an inclusive working environment.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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
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 demonstrate your passion and commitment to the field.
✨Tip Number 2
Showcase your leadership experience by preparing examples of how you've successfully managed teams or projects in the past. Highlighting your ability to mentor and grow talent will resonate well with our values.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms and MLOps. Be ready to explain how you've implemented these technologies in previous roles, as this is crucial for the position.
✨Tip Number 4
Network with professionals in the AI field, especially those who have experience in consultancy. This can provide you with insights into the role and may even lead to valuable connections within our company.
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: Write a cover letter that showcases your passion for AI and your vision for leading teams. Mention specific experiences that align with the responsibilities outlined in the job description, such as managing AI-driven projects or collaborating with cross-functional teams.
Showcase Relevant Skills: In your application, 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 include that as well, as it aligns with the role's requirements.
Highlight Your Leadership Experience: Since the role involves team management, detail your previous leadership experiences. Discuss how you've mentored engineers or led projects, and how you foster collaboration within teams to achieve AI outcomes.
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 engineers in the past. Highlight your leadership style and how it aligns with fostering a collaborative environment.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with Python, TensorFlow, PyTorch, and cloud platforms like AWS or Azure. Prepare to explain how you've used these technologies in previous roles, particularly in deploying AI solutions and optimising models.
✨Understand the Business Context
Familiarise yourself with ClearRoute's mission and the challenges their clients face in AI deployment. Be prepared to discuss how you can align AI strategies with business objectives and drive innovation that meets client needs.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked closely with product managers, data scientists, and other stakeholders. Be ready to discuss how you integrated AI into products and services, and how you handled any challenges that arose during these collaborations.
