At a Glance
- Tasks: Lead the development and fine-tuning of cutting-edge AI models for real-world applications.
- Company: Join a rapidly growing software organisation focused on AI innovation.
- Benefits: Competitive salary up to £120,000, bonuses, and flexible remote work options.
- Other info: Opportunity to mentor a team and drive AI capabilities from the ground up.
- Why this job: Shape the future of AI while working on impactful projects with senior leadership exposure.
- Qualifications: Experience in fine-tuning AI models and strong Python skills required.
The predicted salary is between 120000 - 120000 € per year.
Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles
Paying up to £120,000 + bonus + benefits
Permanent
Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments.
What You'll Be Doing
- Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches
- Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case
- Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability
- Building and scaling a suite of fine-tuned models to support multiple product use cases
- Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles
- Working closely with data, domain and product teams to translate real-world requirements into model behaviour
- Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically
- Driving models through to production environments, ensuring robustness, scalability, and performance
Experience Required
- Proven experience fine-tuning machine learning / LLM models in production environments
- Strong track record of deploying AI models at scale and understanding real-world failure modes
- Hands-on experience with Generative AI / LLM architectures and frameworks
- Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B)
- Experience working in cloud environments (AWS preferred)
- Ability to operate as a player-coach, combining deep technical expertise with leadership
- Pragmatic mindset, comfortable working in ambiguous, evolving environments
- Excellent communication skills, with the ability to engage senior stakeholders and influence direction
Why Join
- Opportunity to build and shape a core AI capability from the ground up
- Work on real-world AI use cases where accuracy and trust genuinely matter
- Highly visible role with direct exposure to senior leadership and strategic initiatives
- Join a business making significant long-term investment in AI-driven innovation
If you're interested in learning more, please reach out to Jacob Ferdinand.
AI Models Lead in London employer: Experis
Join a forward-thinking software organisation that prioritises innovation and employee development, offering a unique opportunity to lead the creation of cutting-edge AI models in a hybrid work environment. With a strong focus on collaboration and mentorship, you'll be part of a dynamic team that values your expertise while providing ample opportunities for professional growth and direct engagement with senior leadership. Enjoy competitive compensation, bonuses, and benefits as you contribute to impactful AI solutions in a supportive and evolving workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Models Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models you've fine-tuned, or any relevant work. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI model development and deployment. Practice explaining your thought process and decision-making in past projects to impress those interviewers.
✨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 AI Models Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Models Lead role. Highlight your experience with fine-tuning machine learning models and any relevant projects you've worked on. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for this role. Be sure to mention specific technologies or methodologies you've used that align with what we're looking for.
Showcase Your Projects:If you've worked on any interesting AI projects, don't hesitate to include them in your application. Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It helps us understand your hands-on experience better!
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. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Experis
✨Know Your AI Models Inside Out
Make sure you’re well-versed in the specific AI models mentioned in the job description, like Mistral and Qwen. Be ready to discuss your experience with fine-tuning and deploying these models, as well as any challenges you've faced in production environments.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team of ML Engineers, prepare examples of how you've led teams in the past. Highlight your ability to balance hands-on technical work with leadership responsibilities, and be ready to discuss how you foster collaboration and growth within your team.
✨Demonstrate Your Pragmatic Mindset
The company values a pragmatic approach to working in evolving environments. Think of examples where you've successfully navigated ambiguity or adapted your strategies based on changing requirements. This will show that you can thrive in their dynamic setting.
✨Engage with Real-World Applications
Be prepared to discuss how your work has impacted real-world applications of AI. Share specific use cases where accuracy and trust were crucial, and explain how you ensured your models met production-grade quality and reliability.
