Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy cutting-edge AI models using Python and top ML frameworks.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong Python skills and experience with ML libraries and frameworks required.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a talented AI Engineer with strong Python expertise to join our team and help build intelligent, scalable AI solutions.
Key Responsibilities:
- Develop, train, and deploy ML/DL models using Python.
- Work with TensorFlow / PyTorch / Scikit‑learn for model building.
- Build data pipelines and perform data preprocessing & feature engineering.
- Integrate AI models into applications via APIs (Flask/FastAPI).
- Optimize models, run experiments, and improve performance.
- Collaborate with data engineers, product, and software teams.
- Follow best practices in MLOps, model versioning & monitoring.
Required Skills:
- Strong knowledge of Python and ML libraries (NumPy, Pandas, Scikit‑learn).
- Experience with deep learning frameworks (TensorFlow or PyTorch).
- Solid understanding of ML algorithms, NLP, and data processing.
- Experience with cloud platforms (Azure / AWS / GCP).
- Knowledge of SQL/NoSQL databases.
Good to Have:
- Experience with LLMs / Generative AI / model fine‑tuning.
- Understanding of MLOps tools (MLflow, Kubeflow, Airflow).
- Experience with Docker/Kubernetes.
AI Engineer with Python in London employer: Market Cloud
Contact Detail:
Market Cloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer with Python in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Python community, 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 involving ML/DL models. Share your GitHub link when you apply; it’s a great way to demonstrate your expertise in Python and relevant libraries.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of ML algorithms. Practice common interview questions related to Python and AI, and don’t forget to explain your thought process during problem-solving!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Tailor your application to highlight your experience with TensorFlow, PyTorch, and any cloud platforms you've worked with.
We think you need these skills to ace AI Engineer with Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python expertise and experience with ML libraries. 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! Tell us why you’re passionate about AI 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 a personal project or something from work, we want to know what you've built and how you approached it.
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 from our team!
How to prepare for a job interview at Market Cloud
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like NumPy, Pandas, and Scikit-learn, as well as any projects where you've used them. Practising coding challenges can also help you demonstrate your proficiency.
✨Showcase Your ML/DL Experience
Prepare to talk about specific machine learning and deep learning models you've developed or deployed. Highlight your experience with frameworks like TensorFlow or PyTorch, and be ready to explain your approach to model training, optimisation, and integration into applications.
✨Familiarise Yourself with MLOps
Since MLOps is a key part of the role, make sure you understand best practices in model versioning and monitoring. Be prepared to discuss any tools you've used, such as MLflow or Kubeflow, and how they helped streamline your workflow.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current AI projects, team dynamics, or how they approach collaboration between data engineers and software teams. This will demonstrate your enthusiasm and engagement.