Machine Learning Engineer - Mid Level.

  • technology
  • permanent
  • Cambridge

The client is in the process of developing groundbreaking software that leverages blockchain technology to deliver AI solutions involving multiple stakeholders. As a Mid Level Machine Learning Engineer, you will play a pivotal role at the confluence of AI and blockchain, contributing to the evolution of machine learning while prioritizing privacy, security, and sovereignty.

Key Responsibilities:

  • Engage as a crucial team member in advancing Large Language Model (LLM) based systems.
  • Conduct research, training, and integration of ML models, with a particular focus on Large Language Models and Reinforcement Learning.

Essential Skills & Experience:

  • Bachelor's in Computer Science (Master's or PhD preferred) or related field.
  • Enthusiasm for learning and integrating cutting-edge ML solutions.
  • Proficient in Python coding with a passion for software engineering.
  • Familiarity with object-oriented design and Python application development.
  • Experience and understanding of Recommender systems.
  • Knowledge of PyTorch, Hugging Face, and other ML libraries/tools.
  • Strong familiarity with modern ML models and techniques, including transformers and LLMs.
  • Excellent communication skills and a collaborative team-oriented approach.

Additional Experience With:

  • MLOps.
  • Building and designing recommender systems.
  • Deploying ML systems into production.
  • Docker.
  • Vector databases/Elasticsearch.

Benefits:

  • Highly competitive salaries based on ability and experience.
  • Bonus Scheme.
  • 25 days holiday, additional personal day, paid bank holidays, and the option to buy extra holidays.
  • Flexible working arrangements for a healthy work-life balance.
  • Pension, Life Insurance, and Private Health Care.
  • Health Care Cash Back Scheme.
  • Auto-enroll salary sacrifice pension plan with a 5% employer contribution.
  • Group Income Protection and Group Life.
  • Cycle to work scheme.

Please note, this is a hybrid role based in Cambridge, and sponsorship is not available. Join us in shaping the future of AI and blockchain technology!

Mae Hunter