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- Tasks: Work on cutting-edge AI research and develop innovative NLP applications.
- Company: Join INOVERSE GROUPE, a leader in AI and technology innovation.
- Benefits: Earn up to £75 per hour with hybrid work options.
- Why this job: Be part of a dynamic team pushing the boundaries of technology and AI.
- Qualifications: PhD or Master's in relevant fields; strong skills in Machine Learning and NLP required.
- Other info: Entry-level contract position; UK residents only.
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NLP (Natural Language Processing) ENGINEER
Up to £75 per hour
4-6 month Contract
Location: West London – Hybrid (3 days in office)
A dynamic team of experts pushing the frontiers of technology is seeking an NLP (Natural Language Processing) Engineer. Join a leading global technology firm to drive cutting-edge research and innovation in AI. The company leads advancements in AI, robotics, data intelligence, and next-generation communications with thousands of researchers worldwide.
We are seeking a highly skilled NLP (Natural Language Processing) Engineer for our research and development team. This role is ideal for someone passionate about pushing the boundaries of Natural Language Processing, Large Language Models, and next-generation AI applications.
Skills Required
- Strong knowledge of Machine Learning, NLP, and Deep Learning
- Proficiency in Python and PyTorch
- Experience with PEFT, Prompting, Generative AI, LLMs, Model Privacy, or Model Compression
- Understanding of Transformer-based architectures and model training at scale
Educational Background
- Ideally, a PhD in Computer Science, AI, Machine Learning, or a related field, or current PhD students
- Master\’s degree with extensive relevant research experience considered
- Publications in top-tier ML/AI conferences or journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI)
- Note: Visa sponsorship is not available; only candidates residing in the UK with the right to work will be considered.
Additional Details
- Seniority level: Entry level
- Employment type: Contract
- Job function: Information Technology
- Industry: Software Development
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Natural Language Processing Engineer employer: INOVERSE GROUPE
Contact Detail:
INOVERSE GROUPE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Natural Language Processing Engineer
✨Tip Number 1
Network with professionals in the NLP field. Attend meetups, webinars, or conferences related to AI and machine learning. Engaging with experts can provide insights into the industry and may lead to referrals for the position.
✨Tip Number 2
Showcase your projects and contributions on platforms like GitHub. Highlight any work related to NLP, deep learning, or generative AI. This not only demonstrates your skills but also gives potential employers a tangible look at your capabilities.
✨Tip Number 3
Stay updated with the latest research and advancements in NLP and AI. Follow key publications and authors in the field. Being knowledgeable about current trends can help you stand out during interviews and discussions.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions relevant to NLP. Familiarise yourself with common frameworks like PyTorch and review concepts around transformer architectures to boost your confidence.
We think you need these skills to ace Natural Language Processing Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Machine Learning, NLP, and Deep Learning. Include specific projects or research that demonstrate your proficiency in Python and PyTorch, as well as any relevant publications.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for Natural Language Processing and AI. Mention your understanding of Transformer-based architectures and how your skills align with the requirements of the role at INOVERSE GROUPE.
Highlight Relevant Experience: In your application, emphasise any hands-on experience you have with PEFT, Prompting, Generative AI, and Model Compression. Provide examples of how you've applied these skills in previous roles or research.
Proofread Your Application: Before submitting, carefully proofread your application to ensure there are no errors. A well-presented application reflects your attention to detail and professionalism, which is crucial for a technical role like this.
How to prepare for a job interview at INOVERSE GROUPE
✨Showcase Your Technical Skills
Be prepared to discuss your knowledge of Machine Learning, NLP, and Deep Learning in detail. Highlight specific projects where you've used Python and PyTorch, and be ready to explain your approach to working with Transformer-based architectures.
✨Demonstrate Your Passion for AI
Express your enthusiasm for pushing the boundaries of Natural Language Processing and AI applications. Share any personal projects or research that reflect your commitment to the field, especially if they involve Generative AI or Large Language Models.
✨Prepare for Technical Questions
Expect technical questions related to PEFT, Prompting, Model Privacy, and Model Compression. Brush up on these topics and be ready to provide examples of how you've applied them in your work or studies.
✨Highlight Your Research Experience
If you have publications in top-tier ML/AI conferences or journals, make sure to mention them. Discuss the significance of your research and how it relates to the role, as this can set you apart from other candidates.