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- Tasks: Join us to develop innovative machine learning applications and collaborate with top AI talent.
- Company: Be part of a forward-thinking AI company redefining industry standards with cutting-edge technology.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and comprehensive benefits.
- Why this job: Shape the future of AI while working on technically demanding projects that make a real impact.
- Qualifications: Passion for machine learning; experience in Python and related technologies is a plus.
- Other info: Full training provided to fill any skill gaps; embrace the fast-paced world of AI.
The predicted salary is between 72000 - 108000 £ per year.
Machine Learning Engineer – SaaS – London (Tech stack: 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) 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
Machine Learning Performance Engineer employer: Noir
Contact Detail:
Noir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Performance Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Follow industry leaders on platforms like LinkedIn and Twitter to stay updated on new technologies and methodologies that are relevant to the role.
✨Tip Number 2
Engage in online communities and forums related to machine learning, such as GitHub or Stack Overflow. Contributing to discussions or projects can showcase your expertise and passion for the field.
✨Tip Number 3
Consider building a portfolio of projects that demonstrate your skills with the required tech stack. This could include personal projects or contributions to open-source initiatives, which can be a great conversation starter during interviews.
✨Tip Number 4
Network with professionals in the AI and machine learning space. Attend meetups, webinars, or conferences to connect with potential colleagues and learn more about the company culture at StudySmarter.
We think you need these skills to ace Machine Learning Performance Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in 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 relate to the technologies listed, such as TensorFlow or NLP, and explain how you can contribute to their innovative projects.
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 demonstrate your skills with tools like Docker, AWS SageMaker, or FastAPI.
Highlight Continuous Learning: Mention any courses, certifications, or self-study efforts related to machine learning and AI. This shows your commitment to staying updated in a rapidly evolving field and aligns with the company's focus on innovation.
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 their impact on the industry. Being able to articulate how you can contribute to their innovative projects will show your genuine interest and alignment with their goals.
✨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 will be 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 enthusiasm but also helps you gauge if the company culture aligns with your values.
