Machine Learning Researcher Statistics Python AI

Client Server; Cambridge; Hybrid; GBP 76,500 - 93,500; Full time

Benefits offered by this job

Private Health Care

Life Assurance

Up to 6% employer pension contribution

25 days holiday

Job summary

A high successful SaaS tech company in Cambridge is seeking a Machine Learning Researcher (PhD Statistics Python AI R&D) to develop new tools and techniques for probabilistic models. The role involves conducting independent research and contributing to product development in the automotive sector. Competitive salary of up to £85k alongside benefits such as private health care and life assurance. Candidates should hold a PhD and have a strong background in machine learning and Python programming.

Qualifications

• Educated to PhD level in Artificial Intelligence or Machine Learning.
• Published at least two research papers on relevant topics.
• Experience applying research to real-world problems.

Responsibilities

• Develop your own research programme.
• Engage in team collaborations to meet research goals.
• Contribute to product development and customer research projects.

Skills

Bayesian optimisation

Machine Learning

Python numerical programming

Probabilistic modelling

Education

PhD in relevant discipline

Tools

NumPy

TensorFlow

PyTorch

Job description

Machine Learning Researcher (PhD Statistics Python AI R&D) Cambridge / WFH to £85k

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 high 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 Machine Learning Researcher (PhD Statistics Python AI R&D) 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.