SonicJobs Logo
Left arrow iconBack to search

Principal ML Engineer

Identify Solutions
Posted 4 days ago, valid for 7 days
Location

Bristol, City of Bristol BS6 5EX

Salary

£52,000 - £62,400 per annum

info
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

info
  • The job is for a Principal Machine Learning Engineer located in a hybrid setting in Bristol, requiring three days on-site work per week.
  • This is a 6-month contract position with a daily rate of £550-650, classified as outside IR35.
  • The role involves leading the development of machine learning models for constrained edge environments and mentoring a small team.
  • Candidates must have proficiency in Python, Docker, and experience with large language models, while knowledge of edge computing is desirable.
  • Applicants must also be eligible to gain SC Clearance to apply for this position.

Location: Hybrid - Bristol - 3 days on siteDuration: 6 months (potential for extension)Rate: £550-650 per day (Outside IR35)

We are looking for a Principal Machine Learning Engineer to lead the development of an innovative product in a fast-paced, start-up style environment. Working in a small team of four, you will combine hands-on technical development with client-facing solutions architecture. Your focus will be on optimising advanced models for deployment in environments with limited computing resources, addressing key challenges in edge computing.

Responsibilities:

  • Design, develop, and optimise machine learning models for constrained edge environments.
  • Act as the technical lead, mentoring team members and ensuring high-quality delivery.
  • Collaborate with clients to define requirements and guide architecture.
  • Transition cloud-based models to low-resource, real-world deployments.

Essential Experience:

  • Proficiency in Python, Docker, and data storage tools (e.g., Redis).
  • Expertise in large language models (LLMs), RAG techniques, and fine-tuning.

Desirable Skills:

  • Knowledge of speech technologies, edge computing, or defence/military sectors.

This is a 6-month contract role offering the chance to work on a high-impact project.To apply for the positon you must be eligible to gain SC Clearance.Apply now to help shape the future of machine learning deployment.

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.