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- Tasks: Design and implement real-world AI solutions that drive business impact.
- Company: Dynamic tech consultancy focused on delivering practical AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and collaborate with top engineers.
- Qualifications: Strong skills in Python or R, SQL, and modern ML frameworks required.
- Other info: Join a fast-paced environment with exciting projects and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Join a growing tech consultancy that helps enterprise clients actually ship real-world AI – not just slides and PoCs. You’ll sit at the heart of their complex data and GenAI projects, working with sharp engineers and ambitious customers who want AI that works.
The role:
- Own the end-to-end design of ML and Generative AI solutions, from problem framing through to production.
- Work with messy, large-scale structured and unstructured data to build models that move real business metrics.
- Lead the design of RAG-style architectures (embeddings, dense search) and advanced NLP/NLU applications.
- Partner closely with pre‑sales and delivery teams to scope opportunities and shape solution architecture.
- Communicate clearly with both engineers and execs, turning complex science into simple, commercial stories.
What we’re looking for:
- Strong hands‑on background in Python or R, SQL, and modern ML frameworks, with deep experience across core ML (regression, classification, clustering, recommendation, feature engineering).
- Proven experience with NLP / NLU and practical use of Generative AI tools (e.g., ChatGPT) and prompt engineering.
- Ability to read research papers, implement algorithms and turn ideas into working PoCs and scalable systems.
- A consulting mindset: comfortable in ambiguity, great at breaking down problems, and confident collaborating with cross‑functional teams and senior stakeholders.
We need this hire to start mid January latest so please only apply if you are able to start immediately or with a short notice period!
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
AI Architect employer: Futureheads Recruitment | B Corp™
Contact Detail:
Futureheads Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that AI Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, and Generative AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex data challenges and turned them into successful AI solutions. Remember, they want to see your consulting mindset in action!
✨Tip Number 4
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. Don’t miss out on this opportunity!
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the AI Architect role. Highlight your hands-on experience with Python, R, and SQL, and don’t forget to showcase your work with NLP and Generative AI tools. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past projects, especially those involving complex data and AI solutions. Keep it engaging and make it clear why you want to join our team.
Showcase Your Problem-Solving Skills: In your application, demonstrate your consulting mindset by discussing how you've tackled ambiguity in previous roles. We love candidates who can break down complex problems and communicate their solutions clearly, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Futureheads Recruitment | B Corp™
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, R, SQL, and the latest ML frameworks. Brush up on your knowledge of NLP/NLU and Generative AI tools like ChatGPT. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar with the theory but can apply it in real-world scenarios.
✨Master the Art of Communication
You’ll need to explain complex concepts to both engineers and execs, so practice simplifying your explanations. Prepare to share examples of how you’ve turned intricate science into straightforward, commercial stories. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you approach ambiguous problems and break them down into manageable parts. Think of specific examples from your past work where you’ve successfully tackled challenges in AI projects. This will highlight your consulting mindset and ability to collaborate with cross-functional teams.
✨Prepare for Real-World Applications
Since this role involves shipping real-world AI solutions, come prepared with examples of your previous projects. Discuss how you’ve worked with messy, large-scale data and the impact your models had on business metrics. This will help the interviewers see your practical experience and how you can contribute to their goals.
