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- Tasks: Build and scale innovative AI systems for a lifestyle platform.
- Company: Exciting early-stage start-up in London with strong backing.
- Benefits: Competitive salary up to £150K plus equity and growth opportunities.
- Other info: Collaborative environment focused on high-quality user experiences.
- Why this job: Join a pioneering team shaping the future of AI-driven experiences.
- Qualifications: Strong Python skills and experience with AI systems or LLMs.
The predicted salary is between 43200 - 72000 £ per year.
We’re partnering with a very early stage, well backed start-up building what they describe as an AI native lifestyle platform, using LLMs, agent based workflows and real time data to deliver highly personalised recommendations across travel, health, dining and experiences.
- Build and scale backend systems using Python and Django
- Work with RAG style systems and context heavy data pipelines
- Improve performance across APIs, background jobs and data processing
- Collaborate closely with product and design to ship high quality user experiences
Strong software engineering fundamentals across system design, architecture and data structures.
Solid hands on experience with Python and backend development.
Experience working with LLMs, AI systems or agent based workflows in production.
Product mindset with a focus on usability, performance and real world impact.
AI / Machine Learning Specialist in London employer: Albert Bow
Contact Detail:
Albert Bow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / Machine Learning Specialist in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space on LinkedIn or at meetups. You never know who might have a lead on that perfect role or can give you insider info about the company.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Django, and LLMs. This will help you stand out and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and architecture concepts. Practice coding challenges related to backend development to ensure you're ready to impress during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI / Machine Learning Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python and backend development experience, especially with LLMs and AI systems, to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of your work with agent-based workflows or data pipelines to grab our attention.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any portfolio showcasing your backend systems or AI applications. We love seeing practical examples of your skills in action.
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 Albert Bow
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and Django, as these are crucial for the role. Brush up on your understanding of LLMs and agent-based workflows, and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've improved performance in APIs or data processing. Think about challenges you've faced and how you tackled them, as this will demonstrate your strong software engineering fundamentals.
✨Collaborate Like a Pro
Since collaboration with product and design teams is key, be ready to talk about your experience working cross-functionally. Highlight any projects where you’ve contributed to user experience improvements and how you approached those collaborations.
✨Emphasise Your Product Mindset
This role requires a focus on usability and real-world impact. Be prepared to discuss how you prioritise user needs in your work and provide examples of how your contributions have led to tangible results in previous roles.