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  "job_description": "Artificial Intelligence Engineer 💰 Salary: £75,000 - 75,000 per year\n\nAt Stackstudio Digital Ltd. we are looking for a ML, AI engineer!\n\n🛠️ Our tech stack:\nAI, AWS, Azure, Cloud, Docker, GCP, Kubeflow, Kubernetes, Network, Python, Machine-Learning\n\n📝 Rquirements:\n- Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).\n- Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation.\n- Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph).\n- Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).\n- Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services.\n- Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.\n- Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS).\n- Proven experience in full stack development and AI/ML system implementation within enterprise environments.\n- Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design.\n- Excellent communication and stakeholder management skills.\n- Experience working on client proposals and leading technical presentations.\n\n👩‍💻👨‍💻 Your responsibilities are:\n- Design, develop, and maintain end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines.\n- Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready.\n- Work on GenAI, Agentic AI, and classic ML solutions.\n- Integrate AI solutions with existing enterprise systems and ensure seamless operation within the clients technology stack.\n- Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions.\n- Provide technical guidance and mentorship to junior engineers.\n- Lead the implementation of best practices in AI/ML development and deployment.\n- Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions.\n\nView this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on DevITJobs.uk\n\nCategory: ML, AI Developer / Engineer\nLocation address: Trafalgar Square, London, United Kingdom\n\nSalary: £75,000 - 75,000 per year\n\nBenefits & perks that we offer:\n\nStackstudio Digital Ltd. - More about us and the role:\nWe are TCS, consistently voted a Top Employer in the UK and globally. As an Artificial Intelligence Engineer in our London office, working three days onsite, you will bring deep expertise in AI system design to complex enterprise environments. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, and access to extensive training resources and discounts within the larger Tata network. We also promote health & wellness initiatives and sports events, including sponsoring the London Marathon.\n\nAre you looking for ML, AI jobs in London?",
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