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For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI systems that impact real users globally.
- Company: Fast-scaling organisation at the forefront of AI innovation.
- Benefits: Up to ÂŁ110,000 salary, equity, hybrid work, and extensive perks.
- Other info: Collaborative culture with massive career growth opportunities.
- Why this job: Shape the future of AI with hands-on projects and high ownership.
- Qualifications: Strong Python skills and experience with AI/ML systems required.
The predicted salary is between 110000 - 110000 ÂŁ per year.
Are you ready to build AI that impacts real users and pushes the boundaries of what’s possible with LLMs? Join us and help shape the future of intelligent products across complex, high value domains.
The business is a fast scaling organisation building next generation AI systems used globally. Our teams combine deep technical expertise with a relentless bias for delivery. If you want to work with cutting edge models, own end‑to‑end solutions, and see your work drive meaningful real world outcomes this is the place.
The Opportunity
As an AI Engineer, you will design, build, evaluate, and deploy cutting edge AI capabilities across multiple product lines. You will work on LLMs, agentic frameworks, retrieval systems, evaluation pipelines, and proprietary model improvements. You will collaborate with world class engineers and researchers, turning breakthrough ideas into high impact production systems. This is hands on, high ownership engineering, with huge scope, fast iteration cycles, and the ability to influence the direction of the entire AI roadmap.
What You’ll Work On
- Build and deploy advanced GenAI models
- Design, fine tune, and optimize LLMs, Transformers, and diffusion models.
- Develop intelligent assistants, summarisation tools, document Q&A, code generation, and domain specific reasoning systems.
- Create high scale evaluation & monitoring frameworks
- Build rigorous evaluation pipelines to benchmark models, detect drift, and guide R&D direction.
- Ensure reproducible experimentation, robust deployment, and high quality model delivery.
- Develop powerful retrieval & agentic AI systems
- Implement Retrieval Augmented Generation (RAG), vector search, and context aware pipelines.
- Leverage embeddings, knowledge graphs, and multi-step reasoning agents.
- Take AI from idea → production
- Deploy models into production using modern cloud platforms (AWS/Azure/GCP).
- Build scalable APIs, inference pipelines, and end‑to‑end MLOps workflows (MLflow, Kubeflow, Azure ML, Vertex AI, etc.).
- Shape the future of our AI platform
- Prototype bold new ideas fast. Iterate with a “learn quickly, ship often” mindset.
- Collaborate across engineering, product, and domain experts to identify high impact use cases and refine strategy.
What You Bring
Must‑Haves
- Strong Python engineering skills and experience shipping AI/ML systems into production.
- Hands‑on experience with LLMs, RAG, Transformers, or NLP/IR architectures.
- Experience with prompt engineering, evaluation, and optimisation techniques.
- Comfortable working with cloud infrastructure (AWS/Azure/GCP).
- Knowledge of MLOps workflows and ML tooling.
- Clear communication and a collaborative mindset.
Nice‑to‑Haves
- Experience with LangChain, vector databases (Pinecone, Weaviate etc), or agent frameworks.
- Track record of advanced side projects or research contributions.
- Full stack familiarity (e.g., React, Postgres, TypeScript) is a plus.
Why Join Us?
Impact & Ownership
You will build systems that real customers rely on fast. Your work won’t sit in a lab; it ships to production and shapes our core product.
World Class Culture
High energy, collaborative environment with other exceptional engineers. We reward creativity, curiosity, rigorous thinking, and shipping great work.
Top Tier Compensation + Benefits
- Up to ÂŁ110,000 + meaningful equity
- Pension contributions
- Private medical insurance
- Income protection & life assurance
- Flexibility & Growth
- Hybrid working model
- 25 days holiday + Bank Holidays
- Massive scope for career acceleration in a high growth environment
- Perks that boost performance
- Free Lunch Wednesday’s & Friday’s
- High performance engineering culture
- Access to cutting edge research and tooling
- Annual AI Tools exploration budget
Who You Are
You’re someone who:
- Loves solving hard problems with elegant, scalable solutions
- Works with pace, ownership, and a positive mindset
- Gets energy from turning prototypes into polished, production ready systems
- Wants to build transformative AI, not just talk about it
Important: UK right to work is required (no sponsorship available).
Artificial Intelligence Engineer in City of London employer: HireQ Talent
Contact Detail:
HireQ Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI systems. This gives potential employers a taste of what you can do.
✨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.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Artificial Intelligence Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your Python engineering skills, experience with LLMs, and any hands-on projects you've worked on. We want to see how you can contribute to our cutting-edge AI systems!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for AI and how you can make an impact at StudySmarter. Share specific examples of your work with AI/ML systems and how you’ve tackled challenges in the past. Let your personality shine through!
Showcase Your Projects: If you've got side projects or research contributions, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in AI, especially with technologies like Transformers or MLOps workflows. We love seeing what you can do beyond the usual job scope.
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’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at HireQ Talent
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, Transformers, and other AI architectures. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about any advanced side projects or research contributions you've made. Highlight how these experiences have shaped your skills and understanding of AI systems, especially in production environments.
✨Demonstrate Collaboration Skills
Since this role involves working closely with engineers and researchers, be ready to share examples of how you've successfully collaborated in the past. Emphasise your clear communication style and how it has helped drive projects forward.
✨Get Familiar with MLOps
Understand the MLOps workflows and tools mentioned in the job description, like MLflow and Kubeflow. Being able to discuss how you've used these tools to deploy models will show that you're prepared for the hands-on nature of the role.