At a Glance
- Tasks: Shape generative AI for real-world products in a dynamic AI Lab.
- Company: Global organisation at the forefront of content and technology.
- Benefits: Up to £120,000 salary, strong benefits, and hybrid working.
- Other info: Join a collaborative team culture with opportunities for growth.
- Why this job: Make a real impact on innovative AI-driven projects with senior visibility.
- Qualifications: Experience with large language models, NLP, and Python skills.
The predicted salary is between 120000 - 120000 € per year.
London, hybrid working (3 days in office), Up to £120,000 plus benefits
If you are excited by the idea of shaping how generative AI is applied to high-quality, real-world products, this role offers the chance to do exactly that. You will join a newly formed AI Lab where experimentation is encouraged, quality matters, and your work will have clear visibility and impact from day one.
The Company
They are a well-established, global organisation operating at the intersection of content, technology, and insight. With a strong reputation for quality and trust, they are investing heavily in generative AI as a core capability. The business operates at international scale and is now building new AI-driven products designed to influence how audiences engage with complex information.
The Role
- Build, fine-tune, and deploy LLM-powered systems used in customer-facing products
- Develop models that capture and reproduce a distinct editorial tone and style
- Design and evaluate retrieval-augmented generation pipelines using structured content
- Support experimentation in real-time generation, personalisation, and multimodal use cases, including audio
- Work closely with product, engineering, and editorial stakeholders to translate ideas into working solutions
- Contribute to a fast-moving, experimental environment where iteration and learning are central
Your Skills & Experience
- Strong hands-on experience working with large language models and NLP systems
- Practical experience fine-tuning models using techniques such as supervised fine-tuning or prompt tuning
- Strong Python capability and familiarity with modern LLM tooling and frameworks
- Experience building or working with RAG pipelines and model evaluation approaches
- Confident communicator, comfortable collaborating with non-technical stakeholders
- A curious, exploratory mindset with a strong focus on output quality and real-world impact
What They Offer
- Salary up to £120,000 plus a strong benefits package
- The opportunity to work on a flagship AI initiative with senior visibility
- A high-impact role in a small, dedicated AI Lab with genuine influence over technical direction
- Hybrid working with a central London office and a collaborative team culture
How to Apply
Apply now to discuss how this Senior AI Engineer role could be the next step in your AI and generative technology career.
Senior AI Engineer - NLP, Finetuning and Multimodal in London employer: Harnham
As a Senior AI Engineer at this well-established global organisation, you will thrive in a dynamic and innovative environment that prioritises quality and experimentation. With a strong commitment to employee growth, the company offers a competitive salary, a robust benefits package, and the unique opportunity to work on cutting-edge AI initiatives in a collaborative London-based team. Join us to make a meaningful impact in shaping the future of generative AI while enjoying the flexibility of hybrid working.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - NLP, Finetuning and Multimodal in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. 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 LLMs and NLP systems. This will give potential employers a taste of what you can do and how you approach real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨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 Senior AI Engineer - NLP, Finetuning and Multimodal in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with large language models and NLP systems, as well as any relevant projects that showcase your ability to fine-tune models.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how you can contribute to our AI Lab. Share specific examples of your work with generative AI and how it aligns with our mission to create high-quality products.
Showcase Your Communication Skills:Since you'll be collaborating with non-technical stakeholders, it's important to demonstrate your communication skills. Use clear and concise language in your application to show us that you can bridge the gap between technical and non-technical teams.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Harnham
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of natural language processing and large language models. Be ready to discuss your hands-on experience with these technologies, especially any fine-tuning techniques you've used. This will show that you're not just familiar with the concepts but have practical skills to back them up.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Think about times when you had to design or evaluate retrieval-augmented generation pipelines. Highlight your thought process and the impact of your solutions to demonstrate your ability to contribute to their experimental environment.
✨Communicate Clearly with Non-Techies
Since this role involves collaborating with product and editorial teams, practice explaining complex technical concepts in simple terms. You want to show that you can bridge the gap between technical and non-technical stakeholders, making it easier for everyone to work together towards a common goal.
✨Embrace the Experimental Mindset
This company values iteration and learning, so come prepared to discuss how you've embraced experimentation in your past roles. Share examples of how you've adapted your approach based on feedback or new insights, and express your enthusiasm for working in a fast-paced, innovative environment.
