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, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with exciting projects and excellent career advancement opportunities.
- Why this job: Make an impact in the AI field while collaborating with talented teams.
- Qualifications: Strong Python skills and experience with ML libraries and frameworks required.
The predicted salary is between 36000 - 60000 £ 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 employer: Market Cloud Ltd
Join our dynamic team in London as an AI Engineer with Python, where innovation meets collaboration. We pride ourselves on fostering a supportive work culture that encourages continuous learning and professional growth, offering access to cutting-edge technologies and projects that make a real impact. With a hybrid work model, competitive benefits, and a commitment to employee development, we provide an exceptional environment for talented individuals looking to advance their careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer with Python
✨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 interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with TensorFlow, PyTorch, and other relevant tools.
✨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 about their job search.
We think you need these skills to ace AI Engineer with Python
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 developed ML/DL models. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with AI Frameworks
Since the role involves working with TensorFlow or PyTorch, it’s crucial to have hands-on experience with these frameworks. Prepare to talk about specific projects where you’ve used them, and be ready to explain your approach to model building and optimisation.
✨Showcase Your MLOps Knowledge
Understanding MLOps is key for this position. Be prepared to discuss best practices in model versioning, monitoring, and deployment. If you have experience with tools like MLflow or Kubeflow, make sure to highlight that during the interview.
✨Prepare for Technical Questions
Expect technical questions related to machine learning algorithms, data preprocessing, and feature engineering. Brush up on your knowledge of SQL/NoSQL databases and cloud platforms like Azure, AWS, or GCP, as these are likely to come up in conversation.
