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.
About us: Intuitive.AI is one of the fastest-growing Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.
Intuitive Superpowers:
- DataOps & AI/ML
- Cloud Native, AppSecOps, DevSecOps
- Cloud Migration & Transformation
- Cloud FinOps
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
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 Stockport 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 Stockport
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Amazon Bedrock or RAG architecture. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI security and MLOps, and be ready to discuss your past experiences in detail.
✨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 love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Principal Data Scientist/ AI-ML Engineer in Stockport
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with AI/ML and any relevant projects you've worked on. We want to see how your skills align with what we're looking for, so don't hold back!
Tailor Your Application:Take a moment to customise your application for the Principal Data Scientist/AI-ML Engineer role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This shows us you’re genuinely interested in the position.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for our team!
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. Plus, it’s super easy!
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.
