At a Glance
- Tasks: Lead the development of cutting-edge NLP and search systems using AI technologies.
- Company: AI-first tech platform revolutionising intellectual property research.
- Benefits: Competitive salary, stock options, 25 days holiday, and flexible working.
- Why this job: Make a real impact in AI by developing innovative language models and workflows.
- Qualifications: Strong Python and NLP experience, with skills in ML systems and search technologies.
- Other info: Join a dynamic team with opportunities for ongoing learning and career growth.
The predicted salary is between 72000 - 88000 £ per year.
I'm working with an AI-first technology platform transforming how complex intellectual property research is done using Natural Language Processing, Large Language Models and advanced search systems. They were early adopters of LLMs and are now building agentic AI workflows capable of autonomously answering complex research questions.
The Role
- Improving search relevance and ranking (precision & recall)
- Designing LLM-powered NLP pipelines
- Developing language models and NLP systems for production
- Building and optimising large-scale search infrastructure
- Developing agentic LLM workflows for complex research tasks
- Contributing to the technical direction of NLP and data systems
This is a hands-on role with significant influence on the evolution of the company's AI capabilities.
What they’re looking for
- Strong Python experience
- Commercial Natural Language Processing (NLP) experience
- Experience building production ML/NLP systems
- Experience with TensorFlow or PyTorch
- Experience with search technologies (Elasticsearch, OpenSearch etc.)
- Experience working with large datasets or language systems
- Experience with LLMs or information retrieval systems would be beneficial
Package
- £90,000 – £110,000 salary
- Stock option plan
- 25 days holiday
- Pension contributions
- Flexible working
- Ongoing learning & development
Apply or message me directly if you’d like to learn more.
Staff NLP Engineer 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 Staff NLP Engineer 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 NLP projects, especially those involving LLMs or search systems. 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 coding challenges and be ready to discuss your past projects in detail. We want you to shine!
✨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 seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff NLP Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP, LLMs, and search technologies. 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 you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role is hands-on, make sure to mention your proficiency in Python, TensorFlow, or PyTorch. If you've worked with large datasets or built production ML systems, let us know – we’re keen to hear about your experiences!
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 a few clicks and you’re done!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Know Your NLP Stuff
Make sure you brush up on your Natural Language Processing knowledge. Be ready to discuss your experience with LLMs, search technologies like Elasticsearch, and any production ML systems you've built. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Python Skills
Since strong Python experience is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to NLP and ML. It’s all about showing you can handle the technical demands of the role.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific challenges in improving search relevance or designing NLP pipelines. Think through some real-world scenarios and how you would tackle them. This will show your problem-solving skills and your ability to think critically.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current projects, the tech stack they use, or how they envision the future of their AI capabilities. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.