Jan 10, 2024

Senior Research Engineer (Reinforcement Learning)


Senior Research Engineer (Reinforcement Learning)

London Based (Paddington - at least 2 days per week in office)
Competitive Salary + Package DOE
Flexible Hybrid Working Model

This company is a leading provider of deep learning and reinforcement learning solutions to companies within healthcare, and enterprise size clients.
With their cutting-edge artificial intelligence products and solutions, extensive focus on developing enterprise decision-making systems that solve existing problems across a range of industries using advanced machine learning, reinforcement learning, and deep learning, and their proactive approach to research, this company has recently been acquired at $500m by one of the largest MedTech companies in the world.
They are proud partners of Google DeepMind, Nvidia, Intel, and also world-class universities such as Oxford and Imperial College. 
We are looking for a Senior Research Engineer, able to contribute to solving real-world problems using cutting-edge AI techniques and solutions. 

- Understanding the business problems, identifying, and developing the right AI or cognitive computing technologies to find a solution for those problems.
- Developing industrial solutions (POC, MVP, fully deployed solution) and products using knowledge of significant research fields and expert coding skills 
- Adjusting machine learning and neural network algorithms and architectures to take full advantage of modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Will need to contribute to reporting and presenting the development of projects clearly and efficiently, both internally and externally.
- Will actively collaborate with the Business Development team in the pre-sales activities, including but not limited to presenting the company to new prospective clients, writing decks and proposals, participating in calls and meetings, and representing the company in conferences/events

- M.Sc. or Ph.D. degree in Computer Science, Mathematics, Computational Physics/Chemistry/Engineering or related scientific fields. 
- Must have used deep learning frameworks such as PyTorch, Tensorflow, and/or Keras.
- Understanding and familiarity with reinforcement learning.
- Proficient experience in software engineering (Python, Docker, Linux, Git). Knowledge of C/C++, GoLang and other languages is a strong plus.

- Competitive compensation package subject to seniority.
- Working in small, diverse teams where you can make an impact.
- Cooperation across European and African offices.
- Annual offsite events.

To find out more about the role and how you can support this journey, please apply immediately by sending your CV via the link provided. All applications are treated with absolute discretion, so send your CV now to arrange a confidential discussion.
Cubiq Recruitment is a leading supplier of recruitment and headhunting services into the global high technology, engineering, and manufacturing sectors, and we pride ourselves on delivering a premium recruitment service.
If the position is not entirely suited to your professional experience, location, or financial expectations, please get in touch with a member of our team to find out about other opportunities.
We don’t advertise all of our assignments so register on the Cubiq Recruitment website for job alerts and industry news.
You can also forward the details of this role to any relevant or interested parties and make use of our generous referral reward scheme. Earn up to £1,000 for simply passing a name and contact details!
Both Cubiq Recruitment and our customer are equal opportunities employers and are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

Apply form

Max file size 10MB.
Upload failed. Max size for files is 10 MB.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Get in touch with our consultant

Jack Cartlidge

We want to here from you

Get in touch

Our specialists team are waiting for hear from you whether you're a business looking to hire or looking for your next opportunity!