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- Tasks: Lead and shape advanced machine learning and NLP solutions in a dynamic AI environment.
- Company: Innovative AI-first tech company with a focus on cutting-edge platforms.
- Benefits: Stock options, 25 days leave, pension contributions, and flexible working.
- Other info: Join a collaborative team and enjoy excellent training and development opportunities.
- Why this job: Make a real impact by solving complex problems with advanced AI techniques.
- Qualifications: 8+ years in engineering/data science, strong Python skills, and NLP experience.
The predicted salary is between 70000 - 90000 £ 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.
Junior 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 Junior 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 technical questions and case studies relevant to the role. Practice explaining your thought process clearly, as communication is key in technical leadership positions.
✨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 seen by the right people.
We think you need these skills to ace Junior 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 a perfect fit for our team. Let us know what excites you about the role!
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 practical examples!
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!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. The interviewers will likely want to dive deep into your technical knowledge, so be prepared to explain your past projects and how you've applied NLP techniques.
✨Showcase Your Leadership Experience
Since the role involves technical leadership, think of examples where you've led ML initiatives or made significant decisions in previous roles. Be ready to discuss how you drove improvements in search performance or optimised algorithms, as this will demonstrate your capability to lead data and NLP projects.
✨Familiarise Yourself with Their Tech Stack
Research the company’s use of large language models and their approach to AI-driven workflows. Understanding their tech stack, including any specific databases like Elasticsearch or cloud platforms like AWS, will show that you're genuinely interested and can hit the ground running.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their current challenges in search performance or how they envision the future of their AI capabilities. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.