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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 the Insurance and Fintech space with a focus on innovation.
- Benefits: Competitive contract, flexible work location, and opportunities for professional growth.
- Other info: Stable environment with a strong commitment to ethical AI and future growth.
- Why this job: Make a real impact on how millions interact with insurance products through innovative AI solutions.
- Qualifications: Expertise in Python, AI/ML frameworks, and experience with MLOps and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Type: 12 months Contract
Location: London, UK (2 days per week)
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.
Machine Learning Engineer in City of London employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in City of 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 involving LLMs and AI systems. 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 your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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 Machine Learning Engineer in City of 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, especially if they relate to insurance or fintech.
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 Recruitment
✨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 frameworks like LangChain 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 apply your knowledge practically.
✨Understand the Business Context
Since this role is in the insurance and fintech space, it’s crucial to understand how AI impacts these industries. Research current trends and challenges in insurance tech, and be ready to discuss how your work can influence customer interactions and improve product offerings.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI roadmap, their approach to ethical AI, and how they measure success in their projects. This shows your genuine interest in the role and helps you assess if the company aligns with your values.