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- Tasks: Join a team to build and scale AI infrastructure for global health applications.
- Company: Leading consumer healthtech platform with a unicorn valuation.
- Benefits: Competitive salary, remote work options, and career growth opportunities.
- Why this job: Impact the health of over 70 million users with cutting-edge AI technology.
- Qualifications: 4+ years in AI/ML systems, proficient in Python and modern ML tools.
- Other info: Dynamic environment with a focus on privacy-first AI solutions.
The predicted salary is between 36000 - 60000 £ per year.
Global consumer healthtech platform.
You will join a specialized AI Platform team to build and scale shared infrastructure enabling safe, efficient AI integration across a massive global product. The role involves fine-tuning large language models, optimizing MLOps pipelines, and developing evaluation frameworks to ensure medical safety and high performance for over 70 million monthly users worldwide.
Location: London, UK
Why this role is remarkable:
- Work on a product with over 500 million downloads, directly impacting the health and wellness of a massive global user base.
- Join a unicorn-valuation organization backed by top-tier global private equity and venture capital firms.
- Lead the transition into a privacy-first, AI-powered future by building the central infrastructure that powers every product team's AI initiatives.
Responsibilities:
- Develop, fine-tune, and optimize proprietary and open-source large language models for domain-specific health applications.
- Design and maintain automated pipelines for model training, evaluation, and deployment across diverse AI workloads.
- Build LLM evaluation frameworks to measure model safety, medical accuracy, and overall performance at scale.
Ideal Candidate:
- Has 4+ years of professional experience building and deploying production-grade AI/ML systems within a cloud environment.
- Possesses deep engineering experience with LLM infrastructure, including fine-tuning techniques like LoRA and SFT.
- Is proficient in Python and modern ML tools such as Databricks, MLflow, and experiment tracking systems.
AI/ML Engineer employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer
✨Tip Number 1
Get to know the company inside out! Research their products, values, and recent news. This will help you tailor your conversations and show genuine interest when you chat with Jack.
✨Tip Number 2
Practice makes perfect! Prepare for potential interview questions related to AI/ML systems and be ready to discuss your experience with LLM infrastructure. The more confident you are, the better!
✨Tip Number 3
Network like a pro! Connect with professionals in the healthtech space on platforms like LinkedIn. You never know who might have insights or opportunities that could lead you to your dream job.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures that Jack can match you with the right opportunities. Plus, it’s all free, so why not give it a go?
We think you need these skills to ace AI/ML Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI/ML systems and any specific projects you've worked on. We want to see how you’ve fine-tuned models or optimised pipelines, so don’t hold back!
Tailor Your Application: Read the job description carefully and tailor your application to match. Use keywords from the description to show us you’re a perfect fit for the role. It’s all about making that connection!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role – we want to understand your experience without getting lost in technical terms.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to connect with you and ensure your application gets the attention it deserves. Plus, Jack is waiting to help you out!
How to prepare for a job interview at Jack & Jill
✨Know Your Models
Make sure you’re well-versed in the large language models relevant to the role. Brush up on fine-tuning techniques like LoRA and SFT, and be ready to discuss how you've applied these in past projects.
✨Showcase Your MLOps Skills
Prepare to talk about your experience with MLOps pipelines. Highlight specific tools you've used, such as Databricks and MLflow, and be ready to explain how you’ve optimised these processes for efficiency and safety.
✨Demonstrate Problem-Solving
Think of examples where you've tackled challenges in AI/ML systems. Be prepared to discuss how you approached these problems, the solutions you implemented, and the impact they had on your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and their approach to medical safety. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals.
