At a Glance
- Tasks: Design AI/ML architecture and implement cutting-edge generative AI capabilities.
- Company: Fast-growing tech company recognised for innovation and excellence in cloud solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Work with leading enterprises and enjoy a collaborative, innovative environment.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Expertise in AI/ML, Amazon Bedrock, and strong problem-solving skills.
The predicted salary is between 80000 - 100000 £ per year.
Intuitive.AI is one of the fastest-growing Cloud & SDx solution and services companies supporting enterprise customers on a global scale. We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals.
About the job:
- Start date: Immediate
- Position Type: Full Time
- Location: Remote across UK (London Preferred)
Description:
Design and implement the AI/ML architecture and GenAI capabilities for our platform. Build RAG pipelines grounded in the Knowledge Graph. Develop and optimize prompts for specification authoring, test case generation, and impact analysis agents. Implement MLOps practices for model evaluation, versioning, and deployment. Design AI security controls including IP protection, grounding checks, and guardrails. Integrate Amazon Bedrock (Claude models), Knowledge Bases, and AgentCore Runtime into production workflows.
Skills:
- Amazon Bedrock (Claude, Titan Embeddings, Knowledge Bases) — Level 5 (Authority)
- RAG Architecture & Prompt Engineering — Level 5 (Authority)
- Amazon SageMaker (MLOps, Pipelines, Evaluation) — Level 4 (Advanced)
- Agent Frameworks (Strands SDK, MCP, AgentCore) — Level 4 (Advanced)
- AI Security (Guardrails, PII redaction, IP protection) — Level 3 (Advanced)
Responsibilities:
- AI/ML Architecture Design and MLOps
- Advanced NLP and Generative AI Capabilities
- AI Security and IP Protection Integration
- RAG pipeline: Bedrock KB + Neptune GraphRAG + OpenSearch vector search
- Agent development: Spec Co-Pilot, Test Case Co-Pilot, Impact Analysis agents
- Model evaluation framework: quality metrics, cost tracking, grounding validation
Principal Data Scientist/ AI-ML Engineer in Wolverhampton employer: Intuitive.ai
At Intuitive.AI, we pride ourselves on being a leading employer in the tech industry, offering a dynamic remote work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values creativity and problem-solving. Join us in London or remotely across the UK, and be part of a team that is shaping the future of AI and cloud solutions while enjoying the benefits of a fast-paced, award-winning company.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist/ AI-ML Engineer in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or contributions. We love seeing real-world applications of your expertise, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends. Confidence is key, so let your passion for AI/ML shine through!
✨Tip Number 4
Don’t forget to 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 talented individuals like you to join our team at Intuitive.AI.
We think you need these skills to ace Principal Data Scientist/ AI-ML Engineer in Wolverhampton
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI/ML architecture and MLOps in your application. We want to see how you can bring your expertise to our team, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for the Principal Data Scientist role. Use keywords from the job description to show us you’re the perfect fit for what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your achievements.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Intuitive.ai
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Amazon Bedrock and RAG architecture. Brush up on your knowledge of MLOps practices and AI security controls, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've designed AI/ML architectures or implemented MLOps. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your contributions led to measurable outcomes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Intuitive.AI’s approach to AI security and their current projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
✨Demonstrate Your Passion for AI/ML
Share your enthusiasm for AI and machine learning during the interview. Discuss any recent trends or innovations in the field that excite you, and relate them back to how they could benefit Intuitive.AI’s goals and projects.
