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- Tasks: Lead the development of advanced machine learning and NLP solutions in a dynamic AI environment.
- Company: Join an innovative AI-first technology company shaping the future of intelligent search.
- Benefits: Enjoy stock options, 25 days leave, flexible work, and training opportunities.
- Other info: Hybrid role with 3 days onsite in London, offering excellent career growth.
- Why this job: Make a real impact by driving AI initiatives and improving search performance.
- Qualifications: 8+ years in engineering/data science, strong Python skills, and NLP experience required.
The predicted salary is between 80000 - 100000 £ per year.
An innovative AI-first technology company is looking for a Staff Applied Scientist to take a technical leadership role in building advanced machine learning and NLP solutions. The company develops cutting-edge platforms that leverage large language models and machine learning to answer complex research questions through intelligent search and automated workflows. As the organisation continues to scale its AI capabilities, they are looking for someone to lead and shape the technical direction of their data and NLP initiatives.
The Role
As a Staff Applied Scientist, you will act as the technical lead for data and NLP initiatives, driving improvements across search, machine learning models, and AI-driven workflows. Responsibilities include:
- Improving search performance (precision and recall)
- Optimising search algorithms to deliver fast and accurate results
- Designing and implementing agentic AI workflows powered by LLMs
- Building and maintaining scalable data pipelines
- Leading technical decision-making across ML and NLP projects
Requirements
- 8+ years of commercial engineering and/or data science experience
- Experience in technical leadership or leading ML initiatives
- Strong Python programming skills
- Commercial experience with machine learning
- Experience working in Natural Language Processing (NLP)
- Experience training ML models using TensorFlow and/or PyTorch
- Experience with search databases (e.g. Elasticsearch, OpenSearch)
- Experience with cloud platforms (e.g. AWS)
- Willingness to work 3 days per week onsite in London
Benefits
- Stock option plan
- 25 days annual leave
- Pension contributions
- Flexible working arrangements
- Training and development opportunities
If you’re interested in applying advanced AI and NLP techniques to solve complex problems and want to play a key role in shaping a growing AI platform, we’d love to hear from you.
Quality Scientist I employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quality Scientist I
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and NLP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in technical roles like Staff Applied Scientist.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Quality Scientist I
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and NLP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since we’re looking for someone with strong Python skills and experience with ML frameworks like TensorFlow or PyTorch, make sure to mention specific projects where you’ve used these technologies. We love seeing real-world applications!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Stuff
Make sure you brush up on your Python programming skills and be ready to discuss your experience with machine learning and NLP. Be prepared to dive deep into your past projects, especially those involving TensorFlow or PyTorch.
✨Show Your Leadership Skills
Since the role involves technical leadership, think of examples where you've led ML initiatives or made significant decisions in your previous roles. Highlight how you drove improvements in search performance or optimised algorithms.
✨Understand the Company’s Tech Stack
Familiarise yourself with the tools and platforms mentioned in the job description, like Elasticsearch or AWS. Being able to discuss how you've used these technologies in your work will show that you're a great fit for their tech environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current data and NLP initiatives. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.