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- Tasks: Build and optimise AI solutions for enterprise customers using cutting-edge technology.
- Company: Leading UK tech firm at the forefront of Generative AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Shape the future of AI while solving real business challenges.
- Qualifications: Bachelor's in Computer Science and 3 years of client-facing engineering experience.
- Other info: Join a vibrant team and make a significant impact in the tech industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in the UK is seeking a Forward Deployed ML Engineer to work closely with enterprise customers on Generative AI solutions. In this role, you will optimize AI model performance and translate business problems into data-driven solutions.
The ideal candidate must have:
- A Bachelor's degree in Computer Science
- At least 3 years of client-facing engineering experience
- Strong proficiency in Python
- Experience with cloud technologies
- Analytical skills
This role promises a dynamic environment and the opportunity to shape AI's future.
Enterprise GenAI Engineer: Build Production AI Solutions in London employer: Scale
Contact Detail:
Scale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise GenAI Engineer: Build Production AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Enterprise GenAI Engineer: Build Production AI Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, cloud technologies, and any client-facing experience you've had. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Generative AI and how your background makes you a great fit for this role. We love seeing enthusiasm and a clear understanding of the position.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We’re interested in how you've optimised AI models or solved business problems with data-driven solutions. It’s all about demonstrating your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and we can get to know you better. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Scale
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any cloud technologies mentioned in the job description. Be ready to discuss specific projects where you've optimised AI models or solved complex problems, as this will show your hands-on experience.
✨Understand the Business Side
Since this role involves translating business problems into data-driven solutions, do some research on common challenges faced by enterprise customers in the AI space. Prepare examples of how you've successfully addressed similar issues in the past.
✨Showcase Your Client-Facing Experience
With at least 3 years of client-facing engineering experience required, be prepared to share stories that highlight your communication skills and ability to work collaboratively with clients. Think about times when you’ve had to explain complex technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to Generative AI and how they envision the future of AI solutions. This not only shows your interest but also helps you gauge if the company is the right fit for you.