Senior AI Engineer

  • Full Time
  • London
  • Location: London
  • Salary: £90000 - £120000 per annum + benefits

Website Be Technology

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Job Title: Senior AI/ML Engineer

Location: London/Cambridge (hybrid)

Salary: £90-120k

About Us:

I’m currently working with an industry pioneer who are looking for an exceptional AI Engineer as they continue to build the most comprehensive AI ecosystem ever! Specialising in cutting-edge solutions that drive innovation, they are committed to pushing the boundaries of AI technology and delivering impactful solutions to clients across various sectors.


  • 25 days annual leave + bank holidays
  • 1 Personal day
  • Flexible working environment
  • Workplace childcare scheme
  • Private health scheme
  • Health shield cashback scheme
  • Pension scheme
  • Group income protection
  • Casual work environment with team outings and social events

Position Overview:

They are currently seeking a talented AI Engineer to join their fast-paced, dynamic team. In this role, you will be a key member of the team, further developing LLM systems and working alongside world class engineers and researchers from various disciplines.


  • Research and Development: Stay updated with the latest advancements in AI, specifically focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). Develop and implement innovative solutions to improve existing systems or create new ones.
  • Model Training and Integration: Train and integrate machine learning models, with a particular focus on LLMs. Utilise techniques such as transfer learning and fine-tuning to adapt pre-trained models to specific tasks or domains.
  • Engineering: Apply strong coding skills in Python to develop and maintain robust, scalable systems. Follow object-oriented design principles and best practices to ensure code quality and maintainability.
  • Collaboration and Communication: Effectively communicate with team members and stakeholders to gather requirements, share progress updates, and collaborate on solving challenging problems. Contribute to a positive and collaborative team environment.
  • MLOps and Deployment: Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems.
  • Deploy ML models into production environments.


  • Master’s or PhD in Computer Science, Engineering, or a related field.
  • 5+ years’ experience with Python with strong coding skills
  • Familiar with object-orientated design methodology and application development in Python
  • Proficiency with ML, LLMs, PyTorch
  • Experience with Transformer models and modern ML techniques
  • Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment.


  • Experience with MLOps & Docker.

How to Apply:

If you are passionate about AI technology and possess the skills and experience required for this exciting opportunity, please submit your CV today!

Keywords: AI Engineer, ML Engineer, Machine Learning, Artificial Intelligence, Python, PyTorch, LLMs, MLOps, Docker

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