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- Tasks: Architect and implement cutting-edge AI solutions in a hybrid work environment.
- Company: Leading tech firm in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 14-18 years of experience in AI architecture and strong programming skills.
- Other info: Active security clearance preferred; excellent career advancement potential.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK
Employment type: Inside Work, Hybrid – 2/3 days to the office a week
Experience Required: 14-18 Years Industry
Mandatory: Active Security Clearance highly preferred
Technical Stack:
- Prompt Engineering
- Python and PySpark
- MLOps and LLMOps
Responsibilities:
- Experience in architecting, designing and implementing solutions on‑premises, in the cloud and using hybrid models
- Hands‑on experience deploying a variety of generative models
- In‑depth experience in fine‑tuning and customizing pre‑trained AI models with a good understanding of AI data engineering and large data processing patterns and practices
- Develop and deliver upskilling sessions to the customer
- Python and PySpark programming
Certifications – Good to Have:
- Microsoft Certified Solutions Architect Expert (AZ303, AZ304)
- Databricks Professional Certificate in Large Language Models
- Microsoft Certified Azure Solutions Architect Expert
Technical Architect in England employer: PURVIEW
Contact Detail:
PURVIEW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Architect in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who are already working as Technical Architects. They might have insider info on job openings or even refer you directly, which can give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving prompt engineering, Python, and MLOps. This will help potential employers see your hands-on experience and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with deploying generative models and fine-tuning AI models. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes speed up the process and get your application noticed faster.
We think you need these skills to ace Technical Architect in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Technical Architect role. Highlight your experience with prompt engineering, Python, and MLOps. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've architected or implemented solutions, especially in cloud or hybrid environments. We love seeing real examples of your work that demonstrate your expertise!
Highlight Your Certifications: If you have any relevant certifications, like the Microsoft Certified Solutions Architect Expert, make sure to mention them. They can really set you apart from other candidates in our eyes!
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 PURVIEW
✨Know Your Tech Stack
Make sure you’re well-versed in the technical stack mentioned in the job description. Brush up on your skills in Python, PySpark, and MLOps. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience.
✨Showcase Your Architectural Skills
Prepare to talk about your experience in architecting and implementing solutions, especially in hybrid models. Have examples ready that highlight your ability to design scalable systems and deploy generative models, as this is crucial for the role.
✨Understand AI Data Engineering
Dive deep into AI data engineering concepts and large data processing patterns. Be prepared to explain how you’ve fine-tuned and customised pre-trained AI models in past roles. This knowledge will demonstrate your expertise and understanding of the field.
✨Upskilling Sessions Are Key
Since part of the role involves delivering upskilling sessions, think about how you would approach this. Prepare a brief outline of a session you could deliver, focusing on a relevant topic. This will show your ability to communicate complex ideas effectively.
