At a Glance
- Tasks: Create innovative AI solutions for diverse enterprise challenges and collaborate with clients.
- Company: Leading AI data foundry driving advancements in technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a dynamic team committed to making a real impact in AI.
- Why this job: Shape the future of AI while tackling complex problems that matter.
- Qualifications: 3+ years in AI engineering, strong coding skills, and a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).
The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
You will:
- Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
- Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
- Have experience gathering business requirements and translating them into technical solutions
- Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
- Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases
- Be able and willing to multi-task and learn new technologies quickly
Ideally you'd have:
- A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals
- Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
- Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
Nice to haves:
- Strong knowledge of software engineering best practices
- Have built applications taking advantage of Generative AI in real, production use cases
- Familiarity with state of the art LLMs and their strengths/weaknesses
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Applied AI Engineer, Enterprise employer: Gravity Engineering Services Pvt Ltd.
At Scale, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge AI technologies, empowering you to tackle complex challenges while making a meaningful impact across various industries. Join us to be part of a diverse team dedicated to shaping the future of AI, where your contributions are valued and celebrated.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer, Enterprise
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those at Scale. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built any cool AI projects or have experience with machine learning models, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills, especially in Python. Practice solving problems on platforms like LeetCode or HackerRank to get into the right mindset.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Scale team.
We think you need these skills to ace Applied AI Engineer, Enterprise
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Applied AI Engineer role. Highlight your experience with machine learning, cloud technologies, and any relevant projects that showcase your problem-solving skills. 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 AI and how your background aligns with our mission at Scale. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in Python and cloud environments like AWS or GCP. We love seeing examples of your work, so if you have any projects or code samples, include them in your application!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around generative AI and machine learning models. Be ready to discuss how you've applied these technologies in real-world scenarios, as this will show your depth of knowledge and passion for the field.
✨Understand the Business Needs
Before the interview, take some time to research Scale and its clients. Understand their business challenges and think about how your skills can help solve them. This will allow you to tailor your answers and demonstrate that you're not just technically savvy but also business-minded.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical problems you've solved in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you articulate your thought process and highlight your ability to tackle ambiguity effectively.
✨Get Comfortable with Code
Since you'll be expected to write and debug code, practice coding problems in Python before your interview. Familiarise yourself with common libraries like NumPy and Pandas, and be prepared to discuss your coding experience in cloud environments like AWS or GCP.
