Machine Learning Researcher

Work at the Forefront of AI & ML – Contribute to Cutting Edge Open-Source Libraries – Hybrid in Cambridge

Job Type

Our client has an exciting opportunity for a Machine Learning Researcher to join a team at the forefront of artificial intelligence and machine learning in Cambridge. The role comes with a salary of up to £80,000, many attractive benefits and the chance to progress your career at a thriving company. 

This is an exciting opportunity to join a team at the forefront of artificial intelligence and machine learning. You will work with researchers and engineers to explore innovative ideas that can improve the state of the art in probabilistic modelling and Bayesian optimisation.  

In your first few weeks in this Machine Learning Researcher role, you can expect to: 

  • Develop your research program, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields 
  • Engage in team collaborations to meet research goals and report your research findings both internally and externally 
  • Contribute to internal product development and customer research projects, assisting in the application of cutting-edge machine learning research to real-world problems 
  • Take an active role in the development of open-source libraries. 

The essential skills and experience for this role include a PhD in a technical field or an equivalent level of experience, plus published work in machine learning, statistics, or optimization conferences and/or journals. You will also need: 

  • A background in decision-making (Bayesian optimisation, bandits, reinforcement learning, active learning) and probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc) 
  • Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch). 

As a vital member of the team and in return for your expertise, inclusive approach and commitment, you'll enjoy a salary of up to £80,000 and benefits including stock options scheme (where applicable), private medical insurance, dental cash plan, salary sacrifice electric bike-to-work scheme, subsidised gym memberships, Cambridge Botanic Garden membership and social events, away days, game nights and sports groups. 

We'd love you to apply for this full-time Machine Learning Researcher position in Cambridge, and we're waiting to hear from you. Please contact Jack from Skillsearch at today. 

Here at Skillsearch, we're a recruitment company. In the simplest form, this means we place people at new companies - but it's so much more than that. For the past 30 years, we've been busy helping people (like you) with sought after skills find jobs in the Games, Interactive and Enterprise Systems industries all around the globe. Our company comprises a team of dedicated consultants that work across various niche technologies, including Games, Virtual Reality, AR and XR, Workday, Oracle, Peoplesoft, and eCommerce. We are always exploring other cutting-edge markets. Follow us to see a few of the jobs we're working on, find out which events you can see us at, and keep up with news in the technology, gaming and interactive world. Welcome to Skillsearch! 

Years of experience and salary levels are shown purely as a guide. We will only consider applications from candidates that can demonstrate the skills or experience required for the role.

Please be aware that while we would love to respond to every application we receive, due to high numbers we cannot guarantee this. We do however appreciate any time you invest into the application and will make sure to get in touch should anything in future more closely fit your skillset.

Reference: 14517

Apply for Machine Learning Researcher

Reference: 14517

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Jack Baxter

Interactive Team Lead

Jack heads up our Interactive and Immersive division in our games team and he’s a great fit for the role thanks to his love of all things XR, including *trigger warning* The Metaverse. With a background in recruitment in other industries, Jack decided to move himself, his partner and his daughters from London to the coast and take on a new challenge in an industry he’s passionate about, which is where he found us! If you’re as excited as Jack to be a part of how we’ll make and play games in the future, get in touch with him today!

Europe: +44 (0)1273 287 007

North America: +1 (437) 887 2477

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