At a Glance
- Tasks: Develop and deploy intelligent AI solutions using Python and cutting-edge ML frameworks.
- Company: Join a forward-thinking tech company in London with a hybrid work model.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career advancement opportunities.
- Why this job: Make an impact by building scalable AI solutions and collaborating with talented teams.
- Qualifications: Strong Python skills and experience with ML libraries and frameworks required.
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 Ltd
Join our dynamic team in London as an AI Engineer, where innovation meets collaboration. We offer a hybrid work environment that fosters creativity and flexibility, alongside opportunities for professional growth through continuous learning and development. With a strong focus on cutting-edge technology and a supportive culture, we empower our employees to make a meaningful impact in the field of AI.
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 and Python. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
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 a good story!
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 see your hands-on experience with model building and deployment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Market Cloud Ltd
✨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 TensorFlow or PyTorch, and be ready to explain the processes you followed for model training and optimisation. Real-world examples will make your answers stand out.
✨Understand MLOps Best Practices
Familiarise yourself with MLOps concepts, including model versioning and monitoring. Be prepared to discuss how you've implemented these practices in past projects. This shows that you not only know how to build models but also how to maintain and improve them over time.
✨Be Ready for Technical Questions
Expect technical questions related to AI integration and data pipelines. Brush up on your knowledge of APIs, especially Flask and FastAPI, and be ready to discuss how you've integrated AI models into applications. This will demonstrate your ability to collaborate effectively with software teams.
