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- Tasks: Design and develop cutting-edge AI products that impact millions in HealthTech.
- Company: Join a leading HealthTech start-up with a collaborative and supportive culture.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Work alongside brilliant minds in a dynamic and innovative environment.
- Why this job: Be part of an exciting journey in real-time AI technology and make a difference.
- Qualifications: Experience in AI/ML, Python, and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are working with an industry-leading HealthTech start-up who are building a state of the art, real-time AI agent. To assist them in this genuinely exciting phase of growth, they’re looking for an experienced AI Engineer to join them on a permanent basis.
As an AI Engineer, you will be hands-on and work across end-to-end design, development, architecture and optimization of multi-agent LLM systems. This role will require advanced reasoning approaches, RAG Engineering and evaluation-driven development in order to ship production-grade Python services with strict latency requirements.
The business is working on real-time AI agent technology within the HealthTech space that has the ability to impact millions across Europe. They have a very collaborative and supportive work environment, where you will work alongside some brilliant minds!
Key experience and skills required:
- Experience in building production grade, AI products within start-ups
- Expertise with Python services using FastAPI/Pydantic
- 3 years’ AI/ML experience
- Excellent collaboration and communication skills
For further information and immediate consideration, please get in touch.
AI Engineer in Bradford employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Bradford
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech space, especially those working on AI products. Use LinkedIn or industry events to connect and chat about your passion for AI engineering.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and FastAPI. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role.
✨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 AI Engineer in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI products. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working in HealthTech and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Collaboration Skills: Since we value teamwork, mention any experiences where you’ve successfully collaborated with others. Whether it’s in a start-up or a larger company, we want to know how you work with brilliant minds!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Stott and May
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially around real-time AI agents and LLM systems. Be ready to discuss your previous projects and how you've tackled challenges in building production-grade AI products.
✨Show Off Your Python Skills
Since the role focuses on Python services, be prepared to demonstrate your expertise with FastAPI and Pydantic. You might even want to bring examples of your code or projects that highlight your ability to optimise for latency requirements.
✨Collaboration is Key
This company values teamwork, so be ready to share experiences where you've successfully collaborated with others. Highlight your communication skills and how you've contributed to a supportive work environment in past roles.
✨Ask Smart Questions
Prepare thoughtful questions about the company's AI projects and their future direction. This shows your genuine interest in the role and helps you understand how you can contribute to their exciting growth phase.