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: Inclusive workplace, competitive salary, 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, strong coding skills, and a passion for tech 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
About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
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. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us.
Applied AI Engineer, Enterprise in London 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 that values inclusivity and encourages you to bring your whole self to work, all while contributing to the future of AI.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer, Enterprise in London
✨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 discuss them in interviews. Real-world examples can really impress.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills, especially in Python. Practice common algorithms and data structures, as they often come up in discussions about AI solutions.
✨Tip Number 4
Don't forget to 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 Scale team.
We think you need these skills to ace Applied AI Engineer, Enterprise in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Applied AI Engineer role. Highlight your experience with machine learning, cloud technologies, and any relevant projects that showcase your problem-solving skills.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Include specific examples of your work with Python, data-driven approaches, and any generative AI applications you've built. We want to see how you can tackle complex problems!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point about your qualifications.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 models and their applications. Be ready to discuss how you've used AI to solve complex problems in your previous roles, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous technical challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your analytical thinking and ability to deliver results under pressure.
✨Familiarise Yourself with Scale's Work
Research Scale's projects and clients, especially those related to AI cybersecurity and healthcare. Being able to reference specific projects during your interview will demonstrate your genuine interest in the company and its mission.
✨Practice Coding on the Spot
Since you'll be expected to write and debug code, practice coding challenges in Python before your interview. Use platforms like LeetCode or HackerRank to sharpen your skills, and be prepared to explain your thought process while solving problems.
