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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 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.
If you would be interested please share your updated CV on yogeshwari.sen@randstaddigital.com with your availability to discuss more about this role.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
ML Engineer in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer in London
✨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 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.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you've tackled challenges in past projects.
✨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 ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML, especially in Python and frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role of an ML Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at the intersection of Generative AI and software engineering. Let us know how your background makes you a perfect fit for this unique opportunity.
Showcase Your Projects: If you've worked on any cool projects involving LLMs or autonomous systems, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 past projects and how you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in ML engineering, especially around designing autonomous systems or optimising data workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Insurance Domain
If you have experience in the insurance sector, make sure to bring it up! If not, do some research on how AI is transforming insurance products. This will show your interest in the role and help you connect your skills to the industry’s needs.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their AI roadmap, team dynamics, or how they ensure responsible AI practices. This shows that you’re genuinely interested in the role and helps you assess if it’s the right fit for you.