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- Tasks: Lead technical direction in NLP and machine learning projects, optimising search algorithms and workflows.
- Company: Innovative AI-first tech company with a focus on advanced solutions.
- Benefits: Stock options, 25 days leave, pension contributions, and flexible working.
- Other info: Hybrid work model with excellent training and development opportunities.
- Why this job: Shape the future of AI while solving complex problems with cutting-edge technology.
- Qualifications: 8+ years in engineering/data science, strong Python skills, and NLP experience.
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 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
✨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 NLP and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to ML and NLP, and be ready to discuss your past experiences in detail.
✨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 who are eager to join our innovative team.
We think you need these skills to ace Quality Scientist
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 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 practical examples!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team!
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 share specific examples of projects you've worked on, especially those involving TensorFlow or PyTorch.
✨Show Your Leadership Skills
Since this role involves technical leadership, think about times when you've led a project or initiative. Be ready to explain how you made decisions, optimised processes, or improved performance in previous roles. This will show that you can take charge and drive improvements.
✨Understand the Company’s Tech Stack
Familiarise yourself with the tools and technologies mentioned in the job description, like Elasticsearch or AWS. If you have experience with these, highlight it during the interview. If not, do a bit of research to understand how they work and be ready to discuss how you could apply them.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to demonstrate your knowledge about the industry.