Be the future of Bio-Tech
Be part of the most exciting group of companies in Life Sciences
Work with our world-leading partners Neochromosome and Opentrons Labworks
Work within state-of-the-art machine learning and bio engineering
Group personal pension
Internally funded research and development projects
Vitality health insurance
Income protection and life cover
Towergate wellness cash benefit
Zenith is regularly recruiting high-caliber candidates to research, engineering, and product roles. Sign up below to be the first to hear about new opportunities when they become available.
Zenith is made up of Research Scientists, Engineers and Product. Find out about who some of the team are, and what it's like to work with us.
Professor Neil Robertson,
Founder and Chief Executive Officer
Professor Neil Robertson has founded 3 venture backed AI companies and has 20 years top-level experience in creating modern machine learning. He has published more than 100 top computer science papers, was Full Professor and Director of Research at Queen’s University and held the prestigious 1851 Fellowship at Oxford University, Dept. Eng. Science. He was instrumental in the technology vision and implementation of the recently-established £60m global AI centre in Belfast, partnering with Amazon, Dell, NVIDIA and Microsoft.
Co-founder and Chief Technology Officer
Rolf has a rare ability to combine excellent fundamental research skills in AI with an expert knowledge of programming real-world systems. He leads teams to deliver algorithms into products which solve significant problems.
At Zenith Rolf is responsible for pro-actively developing our technology strategy and overseeing all technical aspects and technological resources to deliver tangible results that support the mission of the company.
Rolf is an expert in real-time analytics, software engineering, and machine perception, and has a PhD in Machine Learning and Signal Processing. He has previously been a lead engineer, a primary research investigator, and led R&D at the executive level with responsibility for a team of 50+ global researchers and engineers in a world-leading AI start-up.
He has developed software and algorithms for the UK MoD and other government agencies, financial businesses, and ocean engineering which are in continuous use.
Co-founder and Chief Science Officer
Sankha (aka “Rick”) is a hands-on research leader who thinks deeply about the hardest problems in machine learning and delivers outstanding results on which innovative businesses have been created
Dr Mukherjee is a deep learning pioneer. His doctoral research at Edinburgh developed new deep neural network techniques which led to the co-founding of a high growth tech start-up and landmark publications.
He has previously been the EVP of Research for 4 years leading breakthroughs in machine learning, recruiting and supervising a team of 15 world-class researchers. He was a researcher in neural networks at the world-leading EPFL institute in Switzerland.
As an undergraduate he patented an LED based colorimeter and embedded neural network process.
Prass, ML Software Engineer
Prass, researcher turned engineer
I joined Zenith in 2020 as a senior researcher and came with 10 years of machine learning experience. I was looking for an avenue to create an impact with my skills, so the opportunity to move to Zenith was something I could not resist.
As a researcher, I had been working on quite interesting problems such as synthesis predictions for genomic sequences, with highly intellectual and brilliant colleagues – using machine learning, python, and a pinch of common sense. Unsurprisingly, I noticed the fragmentation and lack of coherence in tooling and libraries for synthetic biology, and the high burden of genomics researchers of productionizing their research. This generated a lot of interest in me to focus on unifying the tooling environment for synth-bio. The leadership at Zenith was highly supportive in me pursuing my interest in a more engineering focussed role, and it was a win-win.
As a senior engineer, I’ve worked on problems such as automating research-to-app development using OpenAPI and docker, developing a new task scheduling system using a lot of fundamental software engineering, and developed an aptitude to observing actionable metrics that can be improved. Today, I work as a part of the product development team, and I’m involved in integrations of our products with the larger Synthbio and Opentrons ecosystem. It is extremely exciting for an engineer to be on a product development team – as you’re the first to receive feedback from your end-user, and you’re the first person that can do anything about it.
Apart from the day-to-day tasks, knowledge sharing sessions at Zenith are intriguing and enjoyable. There were opportunities to mentor juniors, and likewise be mentored by industry veterans. There is a nice culture of continuous learning and experimentation. Additionally, I love serving my trademark Masala Chai, and I love having a community of co-workers who enjoy drinking it!
Robbie, ML Software Engineer
A day in the life of Robbie
Normally, I'll have some tea with everybody downstairs, before we have our daily standup. During this, we briefly describe what we're working on, and whether we have any blockers. The rest of my day can then vary quite a lot, depending on what I'm working on. For example I might need to design something I want to build, which can entail coming up with a system diagram, drawing out my expected classes and their relationships, and designing corresponding interfaces and tests. This will normally also include trying out some interesting new libraries or frameworks.
An important part of my job is to talk with researchers, discussing their pain points and agreeing on deliverables to help make their work simpler. I've been learning a lot from doing this, for example recently we've been discussing how we might use Microsoft DeepSpeed Zero (which uses a lot interesting optimisation techniques) to reduce memory requirements for model training. We also have regular "show and tell" sessions, in which new ideas about the science behind our work are presented. We have a lot of flexibility with how we can structure our days, as well as autonomy over how we work. This makes every day different, and means I'm always learning.
I really enjoy the variety in what I can work on! On any given day I could be: coding, designing, learning new technologies such as AWS SageMaker or Streamlit, or learning about the science behind what we're working on, for example, how DNA De novo synthesis works. It's meant that I've learned a lot, and had many interesting discussions with my colleagues. I also really enjoy the culture - everybody is open to new ideas and willing to try new things out.
Xinshao (Amos), ML Researcher
I have a PhD in machine learning and deep learning. I am keen on solving fundamental machine learning problems and impactful AI applications. Apart from being a Senior Research Scientist at Zenith Ai, I am a Visiting Scholar at University of Oxford. I did my postdoc at University of Oxford and my PhD at Queen's University Belfast.
Xinshao at Zenith
In Zenith, I am enthusiastic about the opportunities to work on AI research for synthetic biology, drug discovery, genome and proteome engineering, which are highly impactful and have the potential to revolutionize life science in the world around us. The most exciting experience for me is that I continue to improve my expertise in AI/ML/DL, and apply them to synthetic biology and directed evolution problems, in collaboration with our well-reputed partners including Opentrons, Neochromosome, and Pandemic Response Lab (PRL).