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- Tasks: Build cutting-edge AI systems and develop innovative workflows in a dynamic team.
- Company: Join a global innovation-led organisation with a focus on AI technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make an impact by working on groundbreaking AI projects and technologies.
- Qualifications: Degree in relevant field and strong Python engineering experience required.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Our client is a global innovation‑led organisation looking for a Senior AI Engineer to join their cutting‑edge AI Incubator team on a 12 month contract.
Skills and Requirements:
- Degree in Computer Science, Data Science, Machine Learning, or a related field
- Strong Python engineering experience with a focus on production‑grade systems
- Hands‑on experience with LLMs, RAG pipelines, semantic search, and agentic workflows
- Exposure to graph‑based systems (knowledge graphs, graph data science, GNNs such as GCN/GAT)
- Solid understanding of machine learning, deep learning, and applied data science
- Experience with vector databases, embeddings, and retrieval strategies (lexical, vector, hybrid)
- Familiarity with APIs, microservices, and cloud platforms (Azure, AWS, or GCP)
- Knowledge of software engineering best practices (CI/CD, testing, version control)
- Strong problem‑solving skills and ability to work in fast‑paced, ambiguous environments
Role and Responsibilities:
- Build end‑to‑end AI systems, taking ideas from concept to production
- Design and implement agentic workflows, retrieval pipelines, and reasoning systems
- Develop graph‑enabled AI capabilities, including knowledge graph integration
- Build and optimise search and retrieval systems using vector and hybrid approaches
- Integrate LLMs into scalable applications, including fine‑tuning and evaluation
- Develop and maintain APIs and backend services for AI‑driven solutions
- Build and manage ETL/ELT pipelines to support data and model performance
- Implement observability, logging, and monitoring for reliability and performance
- Collaborate with cross‑functional teams including architects, product, and UX
- Follow best engineering practices with clean, testable code and agile delivery
Senior AI Engineer employer: Cavendish Professionals
Contact Detail:
Cavendish Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on 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 related to AI, machine learning, and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and problem-solving scenarios. Practice coding challenges and be ready to discuss your past projects in detail, especially those involving LLMs and graph-based systems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with Python, LLMs, and any relevant projects that showcase your skills in building production-grade systems.
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 aligns with the responsibilities of the role. Don’t forget to mention your problem-solving skills!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, real-world examples can really set you apart.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Cavendish Professionals
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss production-grade systems. Familiarise yourself with LLMs, RAG pipelines, and graph-based systems, as these are key areas for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in fast-paced environments. Think about challenges you've faced with machine learning or data science projects and how you overcame them.
✨Understand the Company’s Vision
Research the organisation's AI Incubator team and their recent innovations. Being able to discuss how your skills align with their goals will show that you're genuinely interested and invested in the role.
✨Practice Your Communication Skills
Since collaboration is key, practice explaining complex technical concepts in simple terms. This will help you connect with cross-functional teams during the interview and demonstrate your ability to work well with others.