A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning naturallanguageprocessing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch More ❯
City of London, Greater London, UK Hybrid / WFH Options
Deloitte
and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯
technical solutions working with business, technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around naturallanguageprocessing Proven track record of building and leading high-performance technology teams, and an ability to attract and retain talented individuals An inspirational leader, capable of More ❯
Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to Chinmaye.ramnath@james-chase.com More ❯
functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on experience in … industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If More ❯
