At a Glance
- Tasks: Develop cutting-edge NLP models and collaborate with a global team of experts.
- Company: Pioneering business in the creative AI sector transforming film and video access.
- Benefits: Remote work, competitive salary, equity options, and support from major media outlets.
- Other info: Join a close-knit team and unlock exciting career opportunities in AI.
- Why this job: Make a real impact by helping over 300 million viewers access diverse languages.
- Qualifications: PhD-educated or nearing completion with strong Python and NLP engineering skills.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Arrows AI | Machine Learning across the UK and Europe
I’m excited to be partnered with a pioneering business in the creative AI sector that’s transforming film and video access for languages often overlooked by global media companies. This role can be fully remote.
We’re looking for PhD-educated Machine Learning Engineers to join a close-knit, global team of 10 and help develop their cutting-edge LLM. The ideal candidate will have strong Python skills and research experience in NLP engineering, such as with text-to-speech or speech-to-text.
What’s on offer
- Collaborate with other PhD-level experts to build a product that will help over 300 million viewers worldwide
- Remote work with a supportive, international team
- Competitive salary plus equity options
- Backing from major international media outlets and leading universities
Responsibilities
- Develop and contribute to cutting-edge NLP models, including LLM-related work
- Apply Python skills and research experience to NLP engineering tasks (e.g., text-to-speech, speech-to-text)
- Collaborate with a global team to advance product development for language-access features
Qualifications
- PhD-educated in a related field or nearing completion
- Strong Python skills
- Research experience in NLP engineering (e.g., text-to-speech, speech-to-text)
Application
If you are in the final year of your PhD, working in a Research role, or have relevant PhD education, then please send your CV/contact number and let me know a good time to chat.
Referrals are also welcome!
Job details
- Seniority level: Associate
- Employment type: Full-time
- Job function: Information Technology and Research
- Industries: Research Services, Technology, Information and Media, and Software Development
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Natural Language Processing Engineer employer: Arrows
Arrows is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those passionate about media technology. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and advancement, all while working in a vibrant location that encourages innovation and creativity. Join us to lead impactful projects and make a meaningful contribution in the broadcasting sector.
StudySmarter Expert Advice🤫
We think this is how you could land Natural Language Processing Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and NLP fields. Attend virtual meetups or webinars where you can chat with industry experts. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects, especially those involving Python. Share it on platforms like GitHub or even your LinkedIn profile. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common NLP questions and coding challenges. Practice explaining your past projects clearly and confidently. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you who are eager to join our innovative team!
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 Python skills and any relevant NLP research experience. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your PhD work relates to our mission at StudySmarter. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool NLP projects, make sure to mention them! Whether it's text-to-speech or speech-to-text, we love seeing practical applications of your skills. Include links if possible!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Arrows
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of Natural Language Processing, especially the latest trends and technologies. Be ready to discuss your research experience in detail, particularly any projects related to text-to-speech or speech-to-text.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that relate to NLP tasks to showcase your expertise.
✨Collaborate Like a Pro
This position involves working with a global team, so be prepared to discuss your experience in collaborative environments. Share examples of how you've worked with others to achieve common goals, especially in research settings.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future directions in AI. This shows your genuine interest and helps you assess if the company is the right fit for you.
