Tech stack
Artificial Intelligence
Artificial Neural Networks
Python
Machine Learning
NumPy
Open Source Technology
TensorFlow
Reinforcement Learning
PyTorch
Gaussian
AISTATS
Job description
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.
Requirements
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'll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time., * 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
Benefits & conditions
- Competitive salary - to £85k
- Private Health Care
- Life Assurance
- Up to 6% employer pension contribution
- 25 days holiday
About the company
At Client Server, we are driven by technology but powered by people.
We help businesses across the UK, Europe, and the USA build world-leading engineering and tech teams.
Since 1999, we have partnered with some of the biggest names in technology, from Fintech and Gaming to Crypto and Proprietary Trading, to find people to propel them forward.
Partnering with our Clients
We work with clients ranging from cutting edge technology start-ups to established technology leaders, including software houses, investment banks, hedge funds and consultancies.
We see ourselves as a dedicated part of a client's recruiting arm, with servicing tech roles at the core. Each client is assigned their own Account Manager, who is the first port of call for all hiring and candidate queries. It is their job to know and anticipate a client's needs and ensure only the highest calibre of candidates is presented for their roles.
"Client Server have always found us exceptional candidates - both permanent and freelance - that meet the requirements we give them regarding skillset or rates. It's quality over quantity and they take a huge amount of the leg work out of recruitment by really filtering the pool of potential hires before they get to us."
Working with Top Talent
Partnerships define us. We're proud of the thousands of technologists whose careers we've helped build, often over several years and different jobs.
We regularly work with candidates from all over the world, and have a detailed understanding of the technology market, salaries and range of opportunities available.
"Client Server maintained a high level of professionalism throughout the entire process. Communication was clear, timely, and transparent. In particular, I am the most happiest with how recruiting team demonstrated a thorough understanding of both the job requirements and my qualifications."
Our Commitment to DEI
Client Server is dedicated to building diverse technology teams globally. We see first-hand the benefits of hiring a diverse team and encourage our clients to have regular conversations around diversity to ensure their attitudes reflect our own. We help clients with specific diversity needs by implementing female friendly recruitment processes such as blind hiring and by writing adverts that use female coded words, highlight female friendly benefits, and include DEI statements. We post these adverts on a range of professional channels including smaller DEI websites to build diverse pipelines.
Methods we encourage our clients use to improve DEI:
* Diverse interviewing panels
* Female imagery on websites
* Remote working
* Enhanced maternity
* Returnships
* Hiring females into leadership
In 2023, 18% of our placements were female. We are always striving to improve these figures year on year and will continue to do our part to shrink the diversity gap in tech.
Talking Tech
Are you fascinated by the ever-evolving world of technology and how it's reshaping our lives, industries, and the future as we know it? Welcome to Talking Tech!
In each episode, we explore the latest tech trends, innovations, and breakthroughs that are transforming the way we live, work, and play. We've had episodes about start-up culture, the tech hiring market, diversity, and career development.
Our guests include visionaries, entrepreneurs, engineers, and thought leaders who are shaping the future of tech.
If you're interested in Talking Tech and joining Nick for an episode, please get in touch.