At a Glance
- Tasks: Lead the design and deployment of advanced AI systems, focusing on Generative AI.
- Company: A growing tech organisation in secure environments, offering innovative projects.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Active SC Clearance needed; excellent career advancement opportunities await.
- Why this job: Make a real impact by developing cutting-edge AI solutions in a dynamic team.
- Qualifications: Hands-on experience with AI models, LLMs, and machine learning techniques required.
A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes. As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular focus on Generative AI and Large Language Models (LLMs). You'll work across complex datasets and emerging technologies to create scalable, repeatable, and production-ready solutions. You'll collaborate with engineering and technical leadership teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment.
Key Responsibilities
- Design and build advanced AI/ML solutions for complex data-driven challenges
- Develop and optimise Generative AI models and LLM-based applications
- Work with transformer architectures, SLMs, convolutional models, and related AI frameworks
- Build and optimise graph databases to support intelligent data relationships and retrieval
- Design and implement MCP Servers and supporting AI infrastructure
- Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes
- Contribute to AI architecture decisions, experimentation strategies, and technical roadmaps
- Work closely with engineers, architects, and stakeholders within secure environments
- Support optimisation problems and solver-based approaches where required
Experience Required
- Strong hands-on experience building AI models and machine learning solutions
- Commercial experience with:
- Large Language Models (LLMs)
- Small Language Models (SLMs)
- Transformer architectures
- Convolutional models
- Experience designing and optimising graph databases
- Experience building MCP servers
- Proven ability to apply AI and ML techniques to solve complex data problems
- Experience delivering scalable and repeatable AI solutions
- Generative AI (GenAI) experience is essential
Due to the nature of the opportunity and business, applicants need active SC Clearance.
Lead Data Scientist in Farnborough employer: The Talent Locker Ltd.
Join a forward-thinking technology organisation in Farnborough, where innovation meets security. As a Lead Data Scientist, you'll thrive in a collaborative work culture that prioritises employee growth and development, offering competitive daily rates and the flexibility of hybrid working. With a focus on cutting-edge AI technologies and a commitment to fostering talent, this company provides a unique opportunity to make a significant impact in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Farnborough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with AI and ML. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and LLMs. 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. Be ready to discuss your hands-on experience with AI models and machine learning solutions. We want to see how you tackle complex data problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist in Farnborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with Generative AI, LLMs, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 the perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! Whether it's building models or optimising databases, we love seeing real-world applications of your skills. Include links if possible!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The Talent Locker Ltd.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects where you've built or optimised these models, as well as the challenges you faced and how you overcame them.
✨Showcase Your Hands-On Experience
Prepare to talk about your hands-on experience with AI model development and machine learning solutions. Have examples ready that demonstrate your ability to design and implement scalable, repeatable solutions, especially in secure environments.
✨Collaborate Like a Pro
Since this role involves working closely with engineers and technical teams, be prepared to discuss how you've successfully collaborated in the past. Highlight any experiences where you contributed to AI architecture decisions or worked on cross-functional teams.
✨Get Technical with Graph Databases
Familiarise yourself with graph databases and their applications in AI. Be ready to explain how you've designed or optimised these databases to support intelligent data relationships, as this will be crucial for the role.
