AI platforms (AWS, Azure, GCP). Broad knowledge of various ML algorithms including supervised, unsupervised, and deep learning. Strong problem-solving and effective communication skills. Qualifications: Bachelors or Mastersdegree in Computer Science, Data Science, Machine Learning, Engineering, or related field. Benefits: 25 days annual leave plus bank holidays Performance-based bonus scheme linked to individual, team, and More ❯
API development and data integration techniques. Practical experience with deploying AI models on-premise and utilizing open-source frameworks such as Hugging Face and LangChain. Qualifications: Bachelors or Mastersdegree in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Benefits: 25 days annual leave plus a flexible benefits allowance of £660 per annum. Discretionary performance More ❯
communicate technical ideas and insights · Work with technical and non-technical stakeholders To be considered for the AI Engineer you will:· Have a degree or Master'sdegree · 1-2 years of experience within AI roles Have experience in Machine Learning, NLP, and GenAI Be proficient in Python and data libraries Maintain previous More ❯
negotiation skills, with a knack for consultative selling. Strong technical acumen coupled with significant commercial insight, allowing for effective bridging of business goals with technical solutions. Qualifications: Bachelors degree in Information Technology, Computer Science, Engineering, Business Information Systems, or a related field. Advanced degrees (MSc, MBA) with a focus on technology management or enterprise solutions are advantageous. Benefits More ❯
