Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative AI solutions and mentor junior engineers.
- Company: Join SmartAssets, a cutting-edge AI platform within Stagwell Marketing Cloud.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of advertising with advanced AI technologies and impactful projects.
- Qualifications: Extensive experience in AI, machine learning, and strong leadership skills.
- Other info: Dynamic team environment with a focus on collaboration and curiosity.
The predicted salary is between 36000 - 60000 £ per year.
SmartAssets is on the lookout for an experienced and innovative Lead AI Engineer to join our dynamic team. In this role, you will take a leadership position in developing and optimizing AI-driven features, guiding junior engineers, and ensuring the robustness and scalability of our AI solutions. You will play a pivotal role in shaping our platform's future by leading new projects and enhancing existing functionalities.
About SmartAssets: Incubated within the Stagwell Marketing Cloud, our AI platform empowers brands and creative agencies to produce high-quality advertising content by providing insight into the effectiveness of their creative choices. As part of the Stagwell Marketing Cloud, we leverage industry-leading technology and enjoy privileged access to agencies across the advertising spectrum.
Our Values:
- Collaboration: We believe that bringing together different and varied expertise delivers results greater than the sum of their parts. Part of collaboration is ensuring we challenge each other constructively. This way we ensure that what we are building is really robust, and that we have mutual understanding and transparency.
- Curiosity: We want to know why an ad works or doesn’t work. We want to get under the skin of what engages an audience and moves them to action. We believe that data is key to the creative process and enables us to really celebrate excellence in advertising. Something not working is still a valuable data point, which we embrace, bringing science into the art of advertising. We want to know what we don’t know.
- Commitment: Bringing innovation to the market requires belief and drive. We have incredible momentum and great backing. We must remain committed to making SmartAssets the success we know it can be, focusing on what clients really need and delivering against that every single day.
Key Responsibilities:
- Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows.
- Collaborate with cross-functional teams to integrate AI technologies with other system components.
- Ensure the scalability, efficiency, and robustness of AI solutions.
- Oversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologies.
- Conduct and participate in code and design reviews to uphold high-quality standards.
- Mentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment.
- Drive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights.
Requirements:
- Extensive experience with version control tools, preferably Git.
- Proficiency in Docker and container orchestration.
- Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience in deploying AI models in a production environment.
- Proven ability to collaborate effectively with cross-functional teams and manage project timelines.
- Exceptional problem-solving skills and meticulous attention to detail.
- Deep understanding of data science fundamentals and experience with statistical analysis.
- Demonstrated experience in leading and mentoring technical teams.
Preferred Skills (Bonuses):
- Experience with cloud computing platforms (GCP) and their AI services.
- Familiarity with front-end technologies for AI-driven application development.
- Advanced understanding of data engineering and the ability to work with large datasets.
Education:
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
Experience:
- Extensive experience in applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcamps.
- Demonstrated leadership experience in AI and machine learning projects.
Note: Successful applicants will receive a coding challenge to evaluate their programming knowledge and skills as outlined in this job description. This step is an essential part of our selection process to ensure a good match with our team's needs and the demands of the role.
AI Engineer in London employer: SmartAssets
Contact Detail:
SmartAssets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're personal, freelance, or from previous jobs. This gives potential employers a tangible look at what you can do and how you think, which is super important for roles like Lead AI Engineer.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. Practice common interview questions and think about how your experience aligns with SmartAssets' values of collaboration, curiosity, and commitment.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the SmartAssets team. Don’t forget to tailor your application to highlight how you fit the role!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with AI and machine learning. We want to see how you've used your skills in real-world projects, so don’t hold back on the details!
Tailor Your Application: Make your application stand out by tailoring it to our job description. Use the same language we do and connect your experiences to the key responsibilities and values we cherish at SmartAssets.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's relevant, and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at SmartAssets
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your experience with libraries like TensorFlow and PyTorch, and have examples of projects where you've deployed AI models in production. This will show that you’re not just familiar with the theory but can apply it practically.
✨Show Off Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to share your leadership experiences. Talk about how you've guided teams in the past, tackled challenges, and fostered a collaborative environment. Highlight specific instances where your guidance led to successful project outcomes.
✨Get Familiar with SmartAssets
Do your homework on SmartAssets and its place within the Stagwell Marketing Cloud. Understand their values of collaboration, curiosity, and commitment. Being able to relate your personal values and work ethic to theirs will demonstrate that you’re a good cultural fit for the team.
✨Prepare for the Coding Challenge
Since there’s a coding challenge as part of the selection process, practice coding problems related to algorithms and data structures. Make sure you’re comfortable with version control tools like Git and container orchestration with Docker. This will help you feel confident and ready to tackle the challenge head-on.
