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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, stability, and growth opportunities in a rapidly evolving field.
- Other info: Work in a dynamic environment with a strong commitment to ethical AI practices.
- 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 Automatyzacji in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Inżynier Automatyzacji in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Inżynier Automatyzacji in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of ML Engineer. Highlight your experience with AI/ML, especially in Python and frameworks like PyTorch or TensorFlow. We want to see how your skills align with the job description!
Showcase Relevant Projects: Include any projects that demonstrate your ability to design and implement Autonomous Agentic Systems or work with LLMs. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 your Python, PyTorch, and TensorFlow skills, and be ready to discuss how you've used them in past projects. Familiarity with LLMs and AI frameworks will definitely give you an edge.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or optimised AI systems. Think about challenges you faced and how you overcame them, especially in areas like performance tuning and responsible AI. This will demonstrate your ability to think critically and innovate.
✨Understand the Insurance Domain
If you have experience in the insurance sector, make sure to highlight it! If not, do some research on how AI is transforming this industry. Being able to speak knowledgeably about the intersection of AI and insurance will show your genuine interest in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of your interview. Inquire about the company’s AI roadmap or how they ensure ethical AI practices. This shows that you’re not just interested in the job, but also in the company’s vision and values.