At a Glance
- Tasks: Join our AI Research Team to tackle real-world challenges in Natural Language Processing.
- Company: Be part of a cutting-edge company pushing the boundaries of artificial intelligence.
- Benefits: Enjoy a hybrid work model with flexible remote options and collaborate with top experts.
- Why this job: Contribute to groundbreaking innovations that impact millions and shape the future of technology.
- Qualifications: PhD in ML/AI or related field, strong foundation in Mathematics and Machine Learning required.
- Other info: First-author publications in prestigious conferences are a plus; exceptional teamwork skills needed.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Are you passionate about pushing the boundaries of artificial intelligence? Do you thrive on solving complex challenges and developing cutting-edge solutions. We are seeking a talented Natural Language Processing (NLP) Engineer to join a AI Research Team and contribute to ground-breaking innovations in AI.
What You’ll Do:
- Conduct cutting-edge research to tackle real-world AI challenges.
- Develop high-quality code and documentation to ensure reproducible and impactful research.
- Review state-of-the-art research papers and create prototype solutions that redefine what’s possible.
- Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community
Who You Are:
- A PhD holder in ML/AI, Computer Science/Engineering, or a related field.
- A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning.
- Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods.
- First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI).
- Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy).
- Comfortable working in Linux environments and collaborating in a hybrid team setup.
- Exceptional communication, teamwork, and problem-solving skills.
Why Join Us?
- Be part of a team that’s at the forefront of AI research, developing solutions that impact millions of users worldwide.
- Work in a dynamic and innovative environment where your ideas can shape the future of technology.
- Enjoy a hybrid working model with 3 days onsite at our office and 2 days remote.
- Collaborate with leading experts in the field and contribute to projects that push the boundaries of what AI can achieve.
Machine Learning (NLP) (Hybrid) employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning (NLP) (Hybrid)
✨Tip Number 1
Network with professionals in the AI and NLP fields. Attend conferences, webinars, or local meetups to connect with experts and learn about the latest trends. This can help you gain insights into what we value at StudySmarter and potentially lead to referrals.
✨Tip Number 2
Engage with our content on social media and professional platforms like LinkedIn. Share your thoughts on recent advancements in NLP or AI research. This not only showcases your passion but also helps you get noticed by our team.
✨Tip Number 3
Prepare to discuss your previous research and projects in detail during interviews. Be ready to explain your methodologies, challenges faced, and how you overcame them. This will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Familiarise yourself with our current projects and research focus areas. Tailor your discussions to align with our goals and show how your experience can contribute to our mission. This will help you stand out as a candidate who is genuinely interested in joining us.
We think you need these skills to ace Machine Learning (NLP) (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Machine Learning and Natural Language Processing. Include specific projects, publications, and technologies you've worked with that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and NLP. Discuss how your background and skills make you a perfect fit for the role, and mention any specific projects or research that relate to the company's work.
Highlight Publications: If you have first-author publications, ensure they are prominently featured in your application. Mention the conferences or journals where your work has been published, as this demonstrates your expertise and commitment to the field.
Showcase Technical Skills: Clearly list your programming skills and familiarity with relevant libraries like PyTorch or SciKit. Provide examples of how you've used these tools in past projects, especially in relation to the responsibilities outlined in the job description.
How to prepare for a job interview at Microtech Global Ltd
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any publications you've contributed to, especially those in top-tier conferences. This will demonstrate your expertise and commitment to advancing the field of AI.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your programming skills, particularly in Python, Java, or C++. Be ready to discuss your experience with Machine Learning libraries like PyTorch or SciKit, as well as any hands-on projects you've completed.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to tackle real-world AI challenges.
✨Emphasise Team Collaboration Skills
Since the role involves working in a hybrid team setup, be sure to highlight your teamwork and communication skills. Share examples of how you've successfully collaborated with others on projects, as this will show that you're a good fit for their dynamic environment.