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 products from day one.
- 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 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
✨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 set you apart from the crowd.
✨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 by the right people. 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with large language models and NLP systems. 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 excited about the role and how you can contribute to our AI Lab. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Technical Skills:Don’t forget to mention your Python capabilities and any experience with fine-tuning models. We’re looking for hands-on experience, so include specific examples that demonstrate your expertise in these areas.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your knowledge of large language models and NLP systems. Be ready to discuss your hands-on experience with fine-tuning models and any specific projects you've worked on. This will show that you're not just familiar with the theory but have practical skills to back it up.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, especially when it comes to building or evaluating RAG pipelines. Use specific examples to illustrate your thought process and how you arrived at effective solutions. This will demonstrate your ability to think critically and adapt in a fast-moving environment.
✨Communicate Clearly
Since you'll be collaborating with non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and concisely, ensuring everyone understands your contributions. This will highlight your confidence and communication skills.
✨Embrace Curiosity
Show your exploratory mindset by discussing recent trends in generative AI and how they could apply to the role. Bring up any innovative ideas you have for real-world applications of AI technology. This will reflect your passion for the field and your commitment to quality output.
