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LLM Application Developer

Method Resourcing
Posted 20 days ago, valid for 7 days
Location

Kidlington, Oxfordshire OX5 2XY

Salary

the role is offering up to £80,000 + equity & benefits and is offered on a 3 day in-office model in oxfordshire

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job is for an LLM Application Developer at a BioTech start-up focused on AI in Oncology and Bioinformatics.
  • Candidates should have strong Python skills, experience with ML libraries like TensorFlow and PyTorch, and enterprise-level experience in developing LLM applications.
  • NLP experience and a solid understanding of the Software Development Life Cycle (SDLC) are also required, with prior work on BioTech datasets being highly desirable.
  • The position offers a salary of up to £80,000 plus equity and benefits, with a hybrid working model in Oxfordshire.
  • Applicants should have commercial experience in the relevant areas and are encouraged to apply for immediate consideration.

Python | LLM | Application Development | NLP | SDLC | Machine Learning

LLM Application Developer

Up to £80,000 + Equity & Benefits

Oxfordshire - Hybrid working

Method Resourcing have partnered with a BioTech start-up who are at the forefront of AI-powered innovation in Oncology and Bioinformatics.

They are currently looking for an LLM Application Developer to join their growing team to develop their LLM infrastructure and applications to be used both internally, as well as external clients.

For this role, we are looking for someone who can demonstrate commercial experience in the following areas:

  • Strong Python experience - including ML libraries such as TensorFlow and PyTorch
  • Enterprise level experience with developing LLM Applications - Ideally training bespoke models
  • NLP Experience
  • Strong understanding and experience with the SDLC
  • Previous experience working with BioTech datasets (Highly desirable)

The role is offering up to £80,000 + Equity & Benefits and is offered on a 3 day in-office model in Oxfordshire.

So, if you want to be leading the charge in AI-powered Research and Development in Oncology, please apply now for immediate consideration!

Python | LLM | Application Development | NLP | SDLC | Machine Learning

LLM Application Developer

Up to £80,000 + Equity & Benefits

Oxfordshire - Hybrid working

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.