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- Tasks: Lead the design and deployment of cutting-edge Generative AI systems.
- Company: Exciting consultancy focused on next-gen AI capabilities.
- Benefits: Competitive day rate, largely remote work, and significant influence in AI innovation.
- Other info: Contract role with excellent opportunities for professional growth.
- Why this job: Shape the future of AI while working on impactful projects.
- Qualifications: Strong experience in Data Science, Machine Learning, and Generative AI.
The predicted salary is between 60000 - 80000 £ per year.
We are supporting an exciting consultancy who are on the lookout for a Generative AI specialist to help shape and deliver next-generation AI capabilities within a large-scale enterprise environment. This is a unique opportunity for a technically strong and research-driven Data Scientist to lead the design, deployment, and optimisation of production-grade GenAI systems.
The successful candidate will work across cutting-edge AI initiatives including LLM development, RAG architectures, AI safety, model monitoring, and responsible AI frameworks. The role combines hands-on engineering with strategic technical leadership, offering significant influence over enterprise AI direction and innovation.
Key Responsibilities- Design and deploy scalable Generative AI and LLM-based solutions
- Develop RAG architectures and advanced prompt engineering frameworks
- Lead Responsible AI initiatives including bias detection and governance frameworks
- Collaborate with senior stakeholders to translate AI research into business value
- Drive experimentation, model optimisation, and production readiness across AI platforms
- Strong commercial experience within Data Science, Machine Learning, or Generative AI roles
- Deep understanding of LLMs, transformer architectures, and modern NLP techniques
- Experience building and deploying RAG-based applications
- Expertise in prompt engineering, fine-tuning, and AI safety methodologies
- Strong Python development skills with experience using frameworks such as PyTorch, TensorFlow, Hugging Face, or LangChain
- Excellent stakeholder engagement and communication skills
- The Details
- Contract Role
- Outside IR35
- Day rate: DOE
- Largely Remote
Generative AI Lead in London employer: SR2 REC LTD
Contact Detail:
SR2 REC LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Data Science fields. Attend meetups, webinars, or even online forums where you can chat with industry experts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Generative AI, LLMs, or any relevant work. This is your chance to demonstrate your hands-on experience and technical prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of RAG architectures and prompt engineering. Be ready to discuss how you've tackled challenges in AI safety and model optimisation. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining the team!
We think you need these skills to ace Generative AI Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Generative AI Lead role. Highlight your expertise in LLMs, prompt engineering, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Generative AI and how your background makes you the perfect fit for this role. Don’t forget to mention specific projects or achievements that showcase your skills.
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to include any relevant programming languages and frameworks you’re proficient in, like Python, PyTorch, or TensorFlow. We love seeing practical examples of your work, so consider linking to your GitHub or portfolio!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at SR2 REC LTD
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI, especially LLMs and transformer architectures. Be ready to discuss your experience with RAG architectures and prompt engineering frameworks, as these are key areas for the role.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python development skills, particularly with frameworks like PyTorch and TensorFlow. You might be asked to solve a technical problem or explain your approach to building and deploying AI solutions, so practice articulating your thought process.
✨Engage with Stakeholders
Since the role involves collaborating with senior stakeholders, think about examples where you've successfully translated complex AI concepts into business value. Be ready to discuss how you can bridge the gap between technical and non-technical teams.
✨Emphasise Responsible AI Practices
Familiarise yourself with responsible AI initiatives, including bias detection and governance frameworks. Be prepared to share your thoughts on AI safety methodologies and how you would implement them in a production environment.