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- Tasks: Develop cutting-edge research programs and tools for probabilistic models in AI.
- Company: Leading SaaS tech company based in Cambridge with a focus on innovation.
- Benefits: Competitive salary up to £85k, private healthcare, life assurance, and generous holidays.
- Why this job: Join a pioneering team and make a real impact in the field of AI and machine learning.
- Qualifications: PhD in AI or Machine Learning with published research and advanced decision-making skills.
- Other info: Exciting opportunities for career growth in a dynamic and collaborative environment.
The predicted salary is between 51000 - 85000 £ per year.
A leading SaaS tech company in Cambridge is seeking a Machine Learning Researcher with a PhD in AI or Machine Learning. You will develop research programs and tools for probabilistic models while contributing to product development and customer projects.
The ideal candidate will have published research papers and advanced knowledge in decision-making techniques.
This role offers a competitive salary up to £85k, private healthcare, life assurance, and generous holiday allowance.
ML Researcher (PhD) - Statistics, Python, AI in Cambridge employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Researcher (PhD) - Statistics, Python, AI in Cambridge
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in the AI and ML fields. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your work! Create a portfolio of your research papers and projects. Having a solid online presence, like a personal website or GitHub, can really help us stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and decision-making techniques. Practice explaining your research in simple terms, as you might need to communicate complex ideas to non-experts.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings and it’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace ML Researcher (PhD) - Statistics, Python, AI in Cambridge
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your published research papers in your application. We want to see how your work aligns with our focus on probabilistic models and decision-making techniques.
Tailor Your CV: Customise your CV to reflect the skills and experiences that match the job description. We’re looking for someone with a strong background in AI and Machine Learning, so make that shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for machine learning and how you can contribute to our projects and product development.
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 us!
How to prepare for a job interview at Jobster
✨Know Your Research Inside Out
Make sure you can discuss your published research papers in detail. Be prepared to explain your methodologies, findings, and how they relate to the role. This shows your depth of knowledge and passion for the field.
✨Brush Up on Python and AI Techniques
Since the job requires advanced knowledge in Python and AI, practice coding problems and be ready to demonstrate your skills. Familiarise yourself with relevant libraries and frameworks that are commonly used in machine learning.
✨Understand Probabilistic Models
As you'll be developing tools for probabilistic models, ensure you can articulate the principles behind them. Prepare to discuss how you've applied these models in past projects and their impact on decision-making.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions about their current projects, team dynamics, or future directions in AI. This not only shows your interest but also helps you gauge if the company is the right fit for you.
