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!