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- Tasks: Develop innovative AI tools and techniques for real-world applications in the automotive sector.
- Company: Leading SaaS tech company focused on AI and machine learning solutions.
- Benefits: Competitive salary up to £85k, private healthcare, life assurance, and generous holiday.
- Why this job: Join a cutting-edge team and make a real impact on sustainable automotive technology.
- Qualifications: PhD in relevant field with published research in machine learning or statistics.
- Other info: Flexible work-from-home options and a commitment to diversity and inclusion.
The predicted salary is between 60000 - 85000 £ per year.
Are you a tech savvy, PhD educated, Machine Learning Researcher looking for an opportunity to work on complex and interesting systems at the cutting edge of AI technology? You could be progressing your career working on real‑world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.
As a Machine Learning Researcher you will work fairly independently, developing your own research programme, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields. You will actively engage in team collaborations to meet research goals and report your research findings both internally and externally. You’ll use your research to contribute to product development and customer research projects as well as contributing to the company's open source libraries.
Location / WFH: You’ll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time.
About you:
- You’re educated to PhD level in a relevant discipline i.e. Artificial Intelligence, Machine Learning
- You have published at least two research papers on Machine Learning, Statistics or optimisation on NeurIPS, AISTATS, ICML (ICLR, AIAA, COLT, ECML, IEEE)
- You have experience of applying research to real‑world problems
- You have an advanced knowledge of decision making techniques e.g. Bayesian optimisation, bandits, reinforcement learning, active learning and/or probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc.
- You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch
- Ideally you will have an interest in the automotive sector and sustainability
What’s in it for you:
- Competitive salary – to £85k
- Private Health Care
- Life Assurance
- Up to 6% employer pension contribution
- 25 days holiday
Apply now to find out more about this opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Machine Learning Researcher Statistics Python AI - Client Server in Cambridge employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher Statistics Python AI - Client Server in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research papers and projects. Use platforms like GitHub to share your code and demonstrate your expertise in Python and machine learning techniques. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Bayesian optimisation and probabilistic modelling. Practice explaining complex concepts in simple terms, as you'll likely need to communicate your ideas clearly to non-technical stakeholders.
✨Tip Number 4
Don’t forget to follow up! After an interview, send a quick thank-you email to express your appreciation for the opportunity. It shows your enthusiasm and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Machine Learning Researcher Statistics Python AI - Client Server in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your PhD and relevant research experience. We want to see how your skills in Machine Learning and Statistics align with the role, so don’t hold back on showcasing your publications and projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Research Impact: When detailing your research, focus on the real-world problems you've tackled and the impact of your work. We’re keen on how your contributions can translate into product development and customer projects, so make that clear!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Jobster
✨Know Your Research Inside Out
Make sure you can discuss your published papers and research in detail. Be prepared to explain your methodologies, findings, and how they relate to real-world applications, especially in the context of AI and machine learning.
✨Showcase Your Technical Skills
Brush up on your Python programming skills, particularly with libraries like NumPy, TensorFlow, and PyTorch. Be ready to demonstrate your understanding of decision-making techniques and probabilistic models during the interview.
✨Engage with the Team Spirit
Since collaboration is key in this role, think of examples where you've successfully worked in a team. Highlight how you contributed to achieving research goals and how you can bring that collaborative spirit to their projects.
✨Express Your Passion for the Automotive Sector
Show genuine interest in the automotive industry and sustainability. Research current trends and challenges in these areas, and be ready to discuss how your work can contribute to innovative solutions in this field.
