At a Glance
- Tasks: Lead Data and NLP initiatives, optimising search algorithms and building AI workflows.
- Company: An innovative AI-first tech platform in the intellectual property space.
- Benefits: Competitive salary, stock options, 25 days holiday, and ongoing training.
- Other info: Hybrid work model with a dynamic team and excellent career growth opportunities.
- Why this job: Make a real impact by developing advanced AI systems that tackle complex problems.
- Qualifications: 8+ years in engineering, strong ML and NLP experience, leadership skills.
The predicted salary is between 90000 - 110000 £ per year.
An industry-leading, AI-first technology platform in the intellectual property space is hiring a Staff-Level ML Engineer to lead all Data and NLP initiatives. This company was an early adopter of Large Language Models and is building advanced, agentic AI workflows that autonomously answer complex research questions. The platform combines proprietary ML models with cutting-edge NLP techniques to deliver high-precision search and insights at scale.
The Role
- Own and improve search performance (precision & recall)
- Optimise large-scale search algorithms for speed and relevance
- Design and implement agentic LLM workflows
- Build and maintain robust data pipelines
- Lead model development, training, and deployment
- Provide technical leadership across ML and NLP initiatives
This is a high-impact, hands-on leadership role in a product-driven AI company.
Requirements
- 8+ years of commercial experience in engineering and data science
- Proven technical leadership experience
- Commercial Machine Learning experience
- Deep experience in Natural Language Processing (NLP)
- Experience training models in TensorFlow and PyTorch
- Experience with search databases (Elasticsearch, OpenSearch, etc.)
- Experience with AWS or similar cloud platforms
- Willingness to work 3 days per week onsite in London
What’s on Offer
- Stock Option Plan
- 25 days holiday
- Pension contributions
- Ongoing training & development
If you’re excited about building advanced AI systems that solve complex real-world problems at scale, I’d be keen to speak. Please feel free to message me directly for more details.
Staff ML Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join an innovative AI-first technology platform in London, where you'll lead cutting-edge Data and NLP initiatives as a Staff ML Engineer. With a strong focus on employee growth, the company offers ongoing training, a stock option plan, and a generous holiday allowance, all within a collaborative and dynamic work culture that values your contributions to solving complex real-world problems. Experience the unique advantage of working in a hybrid model, allowing you to balance impactful work with flexibility.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space, especially those who might know someone at the company. A friendly chat can sometimes lead to a referral, which is golden when it comes to landing that interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source ML initiatives, make sure to highlight them. Share links during your conversations or on your LinkedIn profile to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML and NLP knowledge. Dive into common algorithms, frameworks like TensorFlow and PyTorch, and be ready to discuss your past projects. Practice coding challenges to keep your skills sharp!
✨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. So, get your application in and let’s get the conversation started!
We think you need these skills to ace Staff ML Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Staff ML Engineer role. Highlight your experience with NLP, machine learning, and any leadership roles you've held. We want to see how you can contribute to our AI-first technology platform!
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 this position. Don’t forget to mention specific projects or achievements that relate to the job description.
Showcase Your Technical Skills:Since this role involves a lot of technical work, be sure to include relevant projects or experiences that demonstrate your expertise in TensorFlow, PyTorch, and search databases. We love seeing practical examples of your work!
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 shows you’re keen on joining our team at StudySmarter!
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 Machine Learning and NLP knowledge. Be ready to discuss your experience with TensorFlow, PyTorch, and search databases like Elasticsearch. The more you can demonstrate your technical expertise, the better!
✨Showcase 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, especially in ML and data initiatives.
✨Understand Their Tech Stack
Familiarise yourself with the company's tech stack and their approach to AI workflows. Being able to discuss how you would optimise search performance or improve data pipelines will show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future goals. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations.
