Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to develop cutting-edge machine learning applications using advanced technologies.
- Company: Be part of a forward-thinking AI company reshaping the industry with innovative solutions.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and comprehensive benefits.
- Why this job: Contribute to exciting projects and collaborate with top talent in the AI field.
- Qualifications: Experience in machine learning, Python, and various AI frameworks is preferred; training provided.
- Other info: Applicants must be based in the UK and have the right to work here.
The predicted salary is between 48000 - 90000 £ per year.
We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to collaborate with top talent in the field of artificial intelligence. Their latest AI advancements have redefined industry norms and empowered businesses to implement cutting-edge, personalized, and scalable AI solutions. Leveraging state-of-the-art technology, we are reshaping the landscape of AI, offering innovative models that exceed current industry benchmarks. Come aboard our team and help shape the future of machine learning and AI.
Our client is looking for passionate Machine Learning Engineer candidates with experience in some or all of the following (full training will be provided to fill any gaps in your skill set):
- Machine Learning Engineer
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Keras
- Natural Language Processing (NLP)
- Hugging Face Transformers
- Pandas
- NumPy
- Jupyter Notebooks
- Matplotlib
- Seaborn
- Flask (for building APIs)
- FastAPI
- Docker
- MLflow
- DVC (Data Version Control)
- AWS SageMaker
- Azure Machine Learning
- Google Cloud AI Platform
- TensorFlow Serving
- ONNX (Open Neural Network Exchange)
This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the ground up. The field of artificial intelligence is rapidly advancing, and our clients are emerging as frontrunners in this dynamic market!
Location: London/ Hybrid Working
Salary: £60,000 - £150,000 + Bonus + Benefits
To apply for this position please send your CV to Sunny Bhalla at Noir. Applicants must be based in the UK and have the right to work in the UK.
Machine Learning Engineer (London Area) employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (London Area)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description. Brush up on your skills in Python, TensorFlow, and PyTorch, as well as any other tools listed. Having hands-on experience or projects to discuss can really set you apart during interviews.
✨Tip Number 2
Engage with the AI community online. Join forums, attend webinars, or participate in hackathons related to machine learning. This not only helps you stay updated on industry trends but also expands your network, which could lead to referrals.
✨Tip Number 3
Prepare to discuss real-world applications of machine learning. Think about how you've used ML techniques in past projects or how you would approach a problem using the tech stack mentioned. Being able to articulate your thought process is crucial.
✨Tip Number 4
Research StudySmarter and our role in the AI landscape. Understanding our mission and values will help you align your answers during interviews and show that you're genuinely interested in being part of our team.
We think you need these skills to ace Machine Learning Engineer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills related to machine learning, Python, and the specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention specific projects or experiences that demonstrate your expertise with tools like TensorFlow, PyTorch, or AWS SageMaker, and explain why you want to work with this innovative company.
Showcase Your Projects: If you have worked on any relevant projects, especially those involving the tech stack listed, include them in your application. Provide links to GitHub repositories or portfolios that showcase your work with machine learning models and APIs.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Noir
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the specific technologies mentioned in the job description, such as Python, TensorFlow, and PyTorch. Bring examples of projects you've worked on that demonstrate your proficiency in these areas.
✨Understand the Company’s AI Vision
Research the company’s recent advancements in AI and be ready to discuss how you can contribute to their innovative projects. Showing that you understand their goals will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities in machine learning. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and technologies they use. This shows your genuine interest in the role and helps you determine if the company is the right fit for you.
