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- Tasks: Lead the development of advanced machine learning and NLP solutions.
- Company: Innovative AI-first tech company with a focus on cutting-edge technology.
- Benefits: Stock options, 25 days leave, flexible work, and training opportunities.
- Why this job: Shape the future of AI while solving complex problems in a dynamic environment.
- Qualifications: 8+ years in engineering/data science, strong Python skills, and NLP experience.
- Other info: Hybrid work model with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ 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.
Applied Scientist in London employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 involving 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 related to Python, ML models, and search algorithms. Practice explaining your thought process clearly, as communication is key in technical roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to join our innovative team.
We think you need these skills to ace Applied Scientist in London
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 the role!
Showcase Your Technical Skills: Since this is a technical role, we’d love to see examples of your work with Python, TensorFlow, or PyTorch. If you’ve led any ML initiatives, make sure to mention those too – we’re all about leadership here!
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 CorporationTM
✨Know Your Stuff
Make sure you brush up on your machine learning and NLP knowledge. Be ready to discuss specific algorithms, models, and your experience with tools like TensorFlow or PyTorch. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've led projects or teams in the past. Think about challenges you faced and how you overcame them. This will show that you're not just a tech whiz but also a great leader.
✨Understand Their Tech Stack
Familiarise yourself with the company's tech stack, especially their use of search databases like Elasticsearch or OpenSearch. If you can speak to how you've used similar technologies in your previous roles, it’ll definitely impress them.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects and future direction in AI and NLP. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it’s a great way to engage with your interviewers!