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- Tasks: Design and deploy intelligent AI systems for regulated environments.
- Company: Leading RegTech firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and a supportive team culture.
- Why this job: Shape the future of AI in regulated industries and make a real impact.
- Qualifications: Strong Python skills and experience in AI/ML workflows.
- Other info: Exciting opportunities for career growth and hands-on project ownership.
The predicted salary is between 60000 - 84000 £ per year.
We are seeking an AI Engineer with strong experience in agentic AI workflow automation and machine learning, ideally within RegTech or highly regulated environments. You will design, build, and deploy intelligent systems that orchestrate AI agents, automate complex workflows, and extract value from structured and unstructured data at scale. This role sits at the intersection of AI engineering, software development, and applied machine learning, working closely with product, platform, and data teams.
Key Responsibilities
- Design, build, and deploy agentic AI systems and intelligent workflows for regulated use cases
- Develop automation-first AI pipelines for regulatory processes (e.g. monitoring, reporting, compliance checks)
- Implement multi-agent systems using modern orchestration frameworks (e.g. LangGraph or similar)
- Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection
- Integrate LLMs, generative AI, and traditional ML into scalable, secure applications
- Process real-time, unstructured, and semi-structured data (text, documents, speech, images)
- Collaborate with software engineers to embed AI capabilities into cloud-native, SaaS platforms
- Ensure solutions meet data privacy and security standards (GDPR, CCPA)
- Contribute to architecture decisions, performance optimisation, and AI system monitoring
Required Skills & Experience
- Bachelor's degree or higher in a relevant STEM discipline.
- Strong Python development skills for AI/ML and backend services
- Hands-on experience with agentic AI architectures and autonomous workflows
- Practical experience with AI orchestration frameworks (e.g. LangGraph, LangChain, custom agent frameworks)
- Experience building and deploying machine learning models in production
- Understanding of the AI lifecycle: prompt engineering, workflow orchestration, deployment, evaluation, monitoring
- Experience working with RegTech or regulated environments.
- Solid knowledge of API development, data pipelines, and system integration
- Familiarity with cloud-native architectures and scalable AI systems
Desirable / Nice to Have
- Experience with NLP, OCR, speech-to-text, or document intelligence
- Exposure to computer vision or multimodal AI systems
- Knowledge of real-time data processing and streaming architectures
- Experience with multi-agent systems or intelligent agents in production
- Background in hybrid AI design (rules + ML + generative AI)
What We Offer
- Opportunity to work on cutting-edge AI systems shaping the future of regulated industries
- A hybrid working model with a London-based team
- High-impact role with ownership over core AI workflows and architecture
- Collaborative, engineering-led culture focused on innovation and real-world outcomes
- Competitive salary and benefits package
AI Engineer in London employer: Oscar Associates (UK) Limited
Contact Detail:
Oscar Associates (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Network Like a Pro
Get out there and connect with people in the AI and RegTech space! Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to agentic AI and machine learning. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding AI workflows. Practice common interview questions and be ready to discuss your experience with automation and multi-agent systems. Confidence is key!
✨Apply Through Our Website
Don’t forget to check out our careers page at StudySmarter! Applying directly through our website not only shows your interest but also helps us keep track of your application. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with agentic AI and machine learning, especially in regulated environments. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in RegTech and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's building machine learning models or automating workflows, we want to know what you've done and how it relates to the role. Links to GitHub or project demos are a bonus!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Oscar Associates (UK) Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI and machine learning. Be ready to discuss specific frameworks like LangGraph or LangChain, and how you've used them in past projects. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex workflows or regulatory challenges in previous roles. Highlight your experience in building automation-first AI pipelines and how you ensured compliance with data privacy standards. Real-world examples will make your answers stand out.
✨Collaborate Like a Pro
Since this role involves working closely with product, platform, and data teams, be ready to discuss your collaborative experiences. Talk about how you've integrated AI capabilities into cloud-native applications and worked with software engineers to achieve common goals.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s AI projects and future plans. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to demonstrate your knowledge of the industry!
