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- 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 in a rapidly advancing field with top talent.
- Qualifications: Passion for machine learning; experience in Python and related technologies preferred.
- Other info: Full training provided to fill any skill gaps; applicants must be UK-based.
The predicted salary is between 72000 - 108000 £ 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: £90,000 - £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 employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Follow industry leaders on platforms like LinkedIn or Twitter, and engage with their content to stay updated. This will not only enhance your knowledge but also give you talking points during interviews.
✨Tip Number 2
Build a portfolio showcasing your projects related to machine learning. Use platforms like GitHub to share your code and demonstrate your skills with tools like TensorFlow, PyTorch, and scikit-learn. A strong portfolio can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI field by attending meetups, webinars, or conferences. Engaging with others can lead to valuable connections and insights about job openings that may not be advertised widely.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and machine learning problems. Websites like LeetCode or HackerRank can help you sharpen your skills. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace Machine Learning Engineer
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 Natural Language Processing.
Showcase Your Projects: If you have worked on any machine learning projects, include them in your application. Provide links to GitHub repositories or portfolios that showcase your work with relevant technologies such as Docker, AWS SageMaker, or Google Cloud AI Platform.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
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 scenarios. Practice explaining your thought process clearly and concisely, as this is crucial in demonstrating your analytical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This not only shows your interest but also helps you gauge if the company is the right fit for you.
