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- Tasks: Design and implement tools for Machine Learning and Large Language Models.
- Company: Join a leading Ed-Tech company impacting 600 million users globally.
- Benefits: Enjoy a hybrid work model with competitive pay of £400 to £500 PD.
- Why this job: Be part of innovative projects in AI and generative technology.
- Qualifications: Must have strong Python skills and experience with chatbots and microservices.
- Other info: Start ASAP with a two-stage remote interview process.
The predicted salary is between 72000 - 108000 £ per year.
An excellent opportunity has arisen with a global brand for a Contract Machine Learning Engineer. This role focuses on natural language processing and network analysis, leveraging open-source software in a highly collaborative environment. You’ll contribute to building, maintaining, and enhancing their data science capabilities within the organization.
Role and Responsibilities:
- Design, develop, and evaluate machine learning models, with a focus on natural language processing
- Translate business challenges into data science solutions and communicate complex findings to stakeholders
- Collaborate in a cross-functional team by sharing ideas, conducting code reviews, and enhancing internal data science tools
- Identify opportunities where machine learning can support data-driven decision making
- Foster a diverse and inclusive culture by working across departments and contributing to knowledge sharing
- Strong proficiency in Python and Graph Databases
- Experience with core data science libraries such as Scikit-Learn, Pandas, PyTorch/TensorFlow
- Solid understanding of machine learning and NLP techniques
- Familiarity with version control systems (Git/GitHub), Python package management, unit testing, and code reviews
- Hands-on experience with data exploration and visualization tools like Pandas, Matplotlib, Bokeh, Plotly, or Tableau
- Exposure to cloud platforms such as AWS
- Experience working collaboratively in multidisciplinary teams alongside machine learning and software engineers
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Machine Learning Engineer employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Python and the specific tools mentioned in the job description, like Jupyter, Pandas, and Fast API. Highlight any projects where you've implemented machine learning models or worked with large language models.
✨Tip Number 2
If you have experience with online chat systems or chatbots, be ready to discuss this in detail during your interview. Prepare examples of how you've contributed to these projects and the impact they had.
✨Tip Number 3
Familiarize yourself with the concepts of generative AI and embeddings, as these are essential for the role. Be prepared to discuss how you've applied these concepts in real-world applications.
✨Tip Number 4
Since the role involves a hybrid work model, be ready to discuss your flexibility and how you can effectively collaborate in both remote and in-office settings. This will show your adaptability and commitment to the team.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Python and microservices. Include specific projects where you've implemented machine learning models or worked with tools like Jupyter, Pandas, and Fast API.
Craft a Strong Cover Letter: In your cover letter, emphasize your experience with online chat systems or chatbots, particularly voice applications. Discuss your understanding of deploying LLMs in production environments and your interest in generative AI.
Showcase Relevant Projects: If you have experience with Terraform, Helm, or Kubernetes, mention any relevant projects. Highlight your contributions to real-world applications using generative AI and large language models.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Prepare examples of how you've used machine learning tools and techniques in past roles, especially in relation to the job description.
How to prepare for a job interview at Intec Select
✨Showcase Your Hands-On Experience
Be prepared to discuss your practical experience with Python and the specific tools mentioned in the job description, such as Jupyter, Pandas, and Fast API. Highlight any projects where you've implemented machine learning models or worked with large language models.
✨Demonstrate Your Understanding of LLMs
Since deploying and supporting large language models is crucial for this role, make sure you can explain your understanding of LLMs and their applications. Discuss any relevant projects or experiences that showcase your expertise in this area.
✨Prepare for Technical Questions
Expect technical questions related to machine learning, microservices, and AI-related services. Brush up on key concepts and be ready to solve problems or provide insights during the interview to demonstrate your technical proficiency.
✨Express Your Interest in Generative AI
Since an interest in generative AI is a must-have, be sure to articulate your passion for this field. Share any relevant experiences or projects that highlight your engagement with generative AI technologies and their real-world applications.
