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- Tasks: Lead the development of advanced AI/ML models and innovative solutions.
- Company: Join a cutting-edge team pushing the boundaries of artificial intelligence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and offers excellent career advancement.
- Why this job: Make a real impact in AI while working with the latest technologies.
- 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 behaviours
- 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
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.
Senior AI/ML Engineer employer: Cavendish Professionals
Contact Detail:
Cavendish Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large-scale models or multimodal systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Stay active in the community! Engage with open-source projects or contribute to research papers. This not only boosts your visibility but also demonstrates your commitment to the field and keeps you updated on the latest trends.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your expertise. Plus, it shows you're genuinely interested in joining our innovative team focused on pushing the boundaries of AI.
We think you need these skills to ace Senior AI/ML Engineer
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 building 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 gives you a chance to explore more about our company culture and values!
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 deep learning, NLP, and LLM fine-tuning, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've deployed AI/ML models, particularly in large-scale environments. Highlight your experience with cloud tools like AWS or Azure, and be ready to explain how you tackled challenges in those projects.
✨Engage with the Community
Demonstrate your involvement in the AI/ML community by mentioning any contributions to open-source projects or publications. This shows your passion for the field and your commitment to staying updated with the latest advancements.
✨Communicate Clearly
Strong communication skills are key, so practice explaining complex concepts in simple terms. Be prepared to discuss how you can work independently on technical challenges while also collaborating effectively with a team.