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Machine Learning Engineer

Method Resourcing
Posted 7 hours ago, valid for 16 days
Location

London, Greater London EC1R 0WX

Salary

£50,000 - £60,000 per annum

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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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  • We are a cutting-edge startup seeking a Machine Learning Engineer with a salary range of £100,000 - £120,000.
  • The ideal candidate should have proven experience in machine learning, including building, testing, and retraining models.
  • Experience with explainability in AI models and exposure to Large Language Models (LLMs) and Generative AI is preferred.
  • Proficiency in Python is essential, along with a background in fast-paced environments like startups.
  • The role involves researching and developing ML models, ensuring transparency in model decisions, and collaborating with existing team members.

Machine Learning Engineer | LLM | ML | Python | Generative AI | Fully Remote | £100,000 - £120,000

About Us

We are a cutting-edge startup building transformative AI-driven solutions. Our team is passionate, forward-thinking, and dedicated to solving some of the most complex challenges in machine learning and generative AI. We are in the process of scaling, and we're looking for a Machine Learning Engineer who thrives in fast-paced environments and isn't afraid to take ownership, make decisions, and learn from them.

If you're excited about shaping the future of AI, are comfortable with ambiguity, and love the idea of working with a team of innovators, this could be the opportunity for you.

What You'll Do:
  • Research, build, test, and retrain ML models to solve real-world problems.
  • Work on Large Language Models (LLMs) and Generative AI projects, contributing to the future of intelligent systems.
  • Develop and implement quality control systems for machine learning pipelines.
  • Explainability is key: Ensure transparency in model decision-making and clearly articulate why and how your models arrive at their conclusions.
  • Collaborate with an existing ML contractor (who knows the ropes) to ensure a smooth transition and integrate your own improvements.
  • Stay flexible, as our ML projects may evolve into new territories, including deeper integration with LLMs.
  • Work in Python to develop and fine-tune models.
  • Contribute to strategic decisions in the ML space, working closely with leadership to ensure alignment with the company's evolving vision.
What We're Looking For:
  • Proven experience in machine learning: You've built, tested, and retrained models before, and you understand the entire lifecycle of machine learning projects.
  • Experience in Explainability: You can communicate how your AI models arrive at their decisions with confidence and clarity.
  • Exposure to LLMs and Generative AI: While you don't need to be an expert, we want someone who's dabbled in the space and is excited to deepen their knowledge.
  • Python proficiency: Strong experience in developing ML models using Python.
  • A background in startups or similar fast-paced environments, with the ability to make and correct decisions quickly.
  • Ambition and curiosity: You're someone who is always looking to level up and expand your horizons.

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.