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- Tasks: Lead the development of cutting-edge Generative AI applications and collaborate with cross-functional teams.
- Company: Join a forward-thinking tech company in London with a hybrid work culture.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact in the tech world.
- Qualifications: Strong background in AI/ML, programming in Python, and experience with LLMs.
- Other info: Dynamic environment with excellent career advancement opportunities.
The predicted salary is between 80000 - 100000 £ per year.
Location: London, UK (Hybrid 2 days onsite a week)
Duration: Full Time
Core AI/ML Foundations:
- Strong foundational knowledge in GenAI, Machine Learning (ML modelling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).
Generative AI & LLM Expertise:
- Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.
- Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.
- Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
- Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
- Hands-on experience with agentic framework-based use case implementation.
- Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.
Programming & Data Engineering:
- Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
- Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
- Hands-on experience with various vector databases (e.g., PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.
- Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.
Deployment & MLOps:
- Hands-on experience deploying GenAI-based models to production environments.
- Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.
- Strong expertise in CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.
Cloud & Containerization:
- Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment.
Soft Skills:
- Strong problem-solving abilities, excellent collaboration skills for working effectively with cross-functional teams, and the capability to work independently on complex, ambiguous problems.
Gen AI Lead in London employer: Axiom Software Solutions Ltd
Contact Detail:
Axiom Software Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and GenAI. We love seeing real-world applications, so make sure to highlight your hands-on experience with tools like Hugging Face and Vertex AI.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of RAG pipelines and prompt engineering strategies. We want to see how you think, so be ready to discuss your approach to solving complex problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into the world of generative AI.
We think you need these skills to ace Gen AI Lead in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with GenAI and LLMs in your application. We want to see your hands-on experience and how you've tackled real-world problems using these technologies.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. This shows us you’re genuinely interested in the role.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the position without any hiccups!
How to prepare for a job interview at Axiom Software Solutions Ltd
✨Know Your GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI and LLMs. Be ready to discuss your hands-on experience with models like Google Gemini and OpenAI. Prepare examples of how you've implemented RAG pipelines and any advanced techniques you've used.
✨Show Off Your Programming Skills
Since strong programming proficiency in Python is a must, be prepared to talk about your experience with libraries like Pandas and TensorFlow. You might even want to bring along a project or two that showcases your coding skills and how you've integrated generative AI with enterprise applications.
✨Demonstrate MLOps Knowledge
Familiarise yourself with MLOps principles and be ready to discuss your experience deploying GenAI models. Highlight any CI/CD tools you've used, like Jenkins or Azure DevOps, and explain how you've established robust deployment pipelines in your previous roles.
✨Emphasise Collaboration and Problem-Solving
Soft skills are just as important! Be prepared to share examples of how you've collaborated with cross-functional teams and tackled complex problems independently. This will show that you can not only handle the technical side but also work well with others.