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- Tasks: Design and build intelligent AI agents for complex workflows using cutting-edge LLM techniques.
- Company: Join a global leader in Insurance and Fintech with a focus on innovation.
- Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
- Other info: Stable environment with exciting projects and a strong commitment to ethical AI.
- Why this job: Make a real impact on how millions interact with insurance products through AI.
- Qualifications: Expertise in Python, AI/ML frameworks, and experience with MLOps and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a high-caliber AI Engineer to join a global leader in the Insurance and Fintech space. You won't just be building chatbots; you will be designing and orchestrating Autonomous Agentic Systems that reason, plan, and execute complex workflows.
This is a unique opportunity to work at the intersection of Generative AI and robust software engineering, applying cutting-edge LLM techniques to high-stakes, real-world data.
What You'll Be Doing
- Agentic System Design: Build intelligent AI agents capable of autonomous task execution using LLMs and advanced reasoning frameworks.
- LLM Specialization: Implement RAG (Retrieval-Augmented Generation) pipelines and fine-tune models using PEFT/LoRA to create domain-specific insurance experts.
- Production Engineering: Design and maintain robust ETL/ELT pipelines and manage the lifecycle of models using Docker, Kubernetes, and CI/CD.
- Responsible AI: Ensure our systems are trustworthy by implementing quantifiable metrics for bias detection, explainability, and privacy.
- Performance Tuning: Optimize data workflows for maximum scalability and cost-efficiency.
Insurance Domain experience is an added advantage.
Your Technical Toolkit
- AI/ML: Expert proficiency in Python, PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI.
- Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems.
- Infrastructure: Proven track record in MLOps, containerization (Docker/K8s), and cloud platforms (Azure/AWS).
- Ethical AI: A deep understanding of AI fairness, transparency, and regulatory compliance within a financial context.
Why This Role?
- Impact: Your work will directly influence how millions of customers interact with insurance products.
- Innovation: Work with the latest LLM architectures (Llama 3.2, Qwen, etc.) in a production environment.
- Stability & Growth: Join a stable, globally recognized institution that is aggressively investing in its AI roadmap for 2026 and beyond.
Inżynier ds. Automatyzacji in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Inżynier ds. Automatyzacji in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 and ML. This is your chance to demonstrate your expertise in Python, PyTorch, and all those fancy frameworks you've been working with.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with LLMs and production engineering. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Inżynier ds. Automatyzacji in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the job description. We want to see how your background in AI/ML and software engineering aligns with the role of an ML Engineer.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how you can contribute to our team. Be specific about your experience with LLMs and autonomous systems, as this will grab our attention!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially in areas like RAG pipelines or MLOps.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. This helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Randstad Technologies
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical toolkit mentioned in the job description. Brush up on Python, PyTorch/TensorFlow, and any GenAI frameworks like LangChain or LlamaIndex. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in AI/ML projects, especially around building autonomous systems or optimising data workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your critical thinking and problem-solving abilities.
✨Understand Responsible AI
Familiarise yourself with concepts of AI fairness, transparency, and regulatory compliance, particularly in the financial context. Be prepared to share your thoughts on how to implement quantifiable metrics for bias detection and explainability in your projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI roadmap, the team’s current projects, or how they ensure the ethical use of AI. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.