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- Tasks: Lead the development of advanced AI/ML models and innovative solutions.
- Company: Join a cutting-edge tech team pushing the boundaries of AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Inclusive workplace with a focus on collaboration and innovation.
- Why this job: Make a real impact in the AI field with your expertise.
- Qualifications: Senior-level experience in AI/ML and strong programming skills in Python.
The predicted salary is between 70000 - 90000 £ per year.
Our client is seeking a Senior AI/ML Engineer to lead the development and deployment of advanced machine learning models and AI-driven solutions. This is a unique opportunity to join an innovative team focused on pushing the boundaries of applied artificial intelligence and large-scale model optimization.
Role and Responsibilities:
- Lead initiatives involving fine-tuning or distillation of large-scale models for specialized tasks
- Design, build, and optimize multi-agent architectures (e.g., LangGraph, AutoGen, crewAI) to enable distributed AI functionality
- Develop and implement multimodal systems integrating text, image, and audio inputs
- Contribute to AI-first features that incorporate feedback loops, human-in-the-loop systems, or adaptive behaviors
- Engage with research and open-source communities through publications or contributions to leading AI projects
Requirements:
- Senior-level experience with a proven track record in AI/ML model development and deployment
- Strong programming skills in Python with experience using frameworks such as TensorFlow, PyTorch, and Scikit-learn
- Advanced knowledge in Deep Learning, NLP, and LLM fine-tuning, including hands-on work with Hugging Face Transformers
- Demonstrated experience deploying LLMs (e.g., OpenAI, Anthropic, Mistral) into large-scale production environments
- Proficiency with cloud and MLOps tools (AWS, Azure, GCP, MLflow, Kubeflow, containerization)
- Solid understanding of distributed systems and data engineering principles
- Strong knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems
- Excellent problem-solving skills, analytical mindset, and ability to work independently on complex technical challenges
- Strong communication skills and fluency in English
Senior AI/ML Engineer in London employer: Cavendish Professionals
Contact Detail:
Cavendish Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large-scale models or multimodal systems. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI/ML concepts. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Senior AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI/ML Engineer role. Highlight your experience with AI/ML model development, especially any work with large-scale models and frameworks like TensorFlow or PyTorch. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our innovative team. Don’t forget to mention any contributions to open-source projects or publications in the field.
Showcase Your Projects: If you've worked on interesting AI projects, make sure to include them in your application. Whether it's deploying LLMs or developing multimodal systems, we love seeing real-world applications of your skills. Share links or descriptions that demonstrate your expertise!
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 role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Cavendish Professionals
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and frameworks mentioned in the job description, especially Python, TensorFlow, and PyTorch. Brush up on your knowledge of LLMs and their deployment, as you might be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex technical challenges you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical mindset and how you approached problem-solving in AI/ML contexts.
✨Engage with the Community
Demonstrate your involvement in the AI/ML community by mentioning any publications, open-source contributions, or collaborations. This shows your passion for the field and your commitment to staying updated with the latest advancements.
✨Communicate Clearly and Confidently
Strong communication skills are key, especially when discussing complex topics. Practice explaining your work in simple terms, as you may need to convey technical concepts to non-technical stakeholders. Confidence in your delivery can make a big difference!