Machine Learning Researcher Statistics Python AI

Client Server; Newton-le-Willows; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading tech company in the UK is seeking a Machine Learning Researcher to work on innovative projects within AI technology. Candidates should have a PhD in a relevant field and a strong research background, including published papers. You'll independently develop research on probabilistic models and collaborate with teams to advance product developments. The role offers a competitive salary of up to £85k, private healthcare, life assurance, and generous holiday entitlement, with flexibility for remote working.

Benefits

Competitive salary

Private Health Care

Life Assurance

Up to 6% employer pension contribution

25 days holiday

Qualifications

• PhD level education in Artificial Intelligence or Machine Learning.
• Published research papers on relevant topics.
• Experience applying research to real-world problems.
• Advanced knowledge of probabilistic modelling techniques.
• Competency in Python numerical programming.

Responsibilities

• Develop tools and techniques for probabilistic models.
• Engage in team collaborations to achieve research goals.
• Contribute to product development and customer research projects.

Skills

Machine Learning

Statistics

Python

Bayesian optimisation

Decision making techniques

NumPy

TensorFlow

PyTorch

Education

PhD in a relevant discipline

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 :

• PhD level education in a relevant discipline such as Artificial Intelligence, Machine Learning.
• Published at least two research papers on Machine Learning, Statistics or optimisation on NeurIPS, AISTATS, ICML (ICLR, AIAA, COLT, ECML, IEEE).
• Experience of applying research to real-world problems.
• Advanced knowledge of decision making techniques such as Bayesian optimisation, bandits, reinforcement learning, active learning and / or probabilistic modelling and methods such as Gaussian processes, Bayesian neural networks, Variational inference, etc.
• Experience with Python numerical programming (NumPy, TensorFlow, PyTorch).
• Ideally an interest in the automotive sector and sustainability.

What's in it for you :

• Competitive salary - up 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.