Position: Entry level

Job type: Full-time

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Job content

Do you want to use Big Data, Machine Learning and AI to solve some of the biggest challenges in the Medical sector ? Would you like to be part of a team that is mapping out the immune system of individuals in order to provide new vaccinations and medicines quicker than ever before? Do you want to leverage your ML and AI skills, whilst utilising Python coding and deployment skills with tools like Docker ? Do you want to join a business that could easily become a " Unicorn " as employee no.5/6? So, my client is offering an awesome opportunity for a mid level Engineer to develop a range of skills in ML , Software Engineering and DevOps . You will get exposure to big data, Python libraries within Data Science , containerisation , cloud platforms and be around some super bright individuals. Not only that, but you will be dealing with the company founders almost daily, getting to help shape the technology and the business. They have received recent funding and it is an exciting time to join them. Reasons to apply: Start-up at an exciting stage of growth Good tech under the hood - Data Science, Biology, Cloud, Machine Learning £30-40k salary Make an impact on the business Life saving (potential billions) technology Skills you will learn in the role: Python Development Data Science libraries and understanding Machine Learning Immunology Containerisation with Docker Database skills in SQL Linux and BASH Agile (Scrum/Kanban) If you feel like this role is for you then please do apply immediately for consideration. We will then follow up with a general chat about the role and what it entails. Humand Talent Solutions and their clients and associates do not discriminate on any of the following and any terminology that suggests that should be made aware to our business ASAP. Categories include:
  • gender
  • race
  • religion or belief
  • disability
  • age
  • pregnancy and maternity
  • marriage and civil partnership
  • sexual orientation
  • gender
  • reassignment
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    Deadline: 26-07-2024

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