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 solving 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.
Enterprise AI Engineer: Build AI Solutions for Clients 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 creativity, all while working on transformative projects that shape the future of AI.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Engineer: Build AI Solutions for Clients in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend AI meetups, and connect with Scale employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice coding challenges and be ready to discuss how you've tackled complex issues in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Scale team and the exciting work we do.
We think you need these skills to ace Enterprise AI Engineer: Build AI Solutions for Clients in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of an Applied AI Engineer. Highlight your experience with machine learning, cloud technologies, and any relevant projects that showcase your problem-solving skills.
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 specific about what excites you about the role.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any experience with libraries like numpy and pandas. If you've worked on generative AI applications, make sure to include that too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 these technologies can solve complex problems for clients, as this will show your passion and expertise.
✨Understand the Client's Needs
Before the interview, research the types of clients Scale works with and their specific challenges. Think about how you can tailor your skills to meet those needs, and be prepared to share examples of how you've done this in the past.
✨Show Off Your Coding Skills
Since you'll be writing and debugging code, practice coding problems in Python, especially using libraries like numpy and pandas. Be ready to demonstrate your coding process during the interview, as this will highlight your technical abilities.
✨Be Ready to Collaborate
Collaboration is key in this role, so think of examples where you've worked cross-functionally. Be prepared to discuss how you communicate with different teams and how you gather business requirements to translate them into technical solutions.
