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- Tasks: Lead a high-performance AI team and deliver transformative AI solutions.
- Company: Join a leading tech-driven business focused on innovative AI strategies.
- Benefits: Enjoy remote work, competitive salary, bonuses, and potential equity.
- Why this job: Shape the future of AI with real-world impact and cutting-edge technology.
- Qualifications: Deep knowledge in machine learning and proven leadership in AI initiatives required.
- Other info: Opportunity for travel within the UK for client meetings and workshops.
The predicted salary is between 55000 - 70000 £ per year.
Head of AI / AI Architect / AI Team Lead Remote (Candidate must be based in the UK) £65k-£80k + solid bonus + potential for equity.
A leading technology driven business is seeking an exceptional AI leader to shape, scale and take ownership of their AI strategy, both internally and their client offering.
This role sits at the intersection of cutting edge research and enterprise impact, leading the delivery of transformative AI systems across multiple business domains,including LLMs, multimodal AI, generative models, and autonomous agents.
The role is remote working with Adhoc travel within the UK for client meetings, workshops etc.
Your role will involve:
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Building, scaling and leading a high performance team of machine learning engineers, AI researchers, and data scientists, driving end-to-end AI solution delivery.
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Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools like PyTorch, TensorFlow, and Hugging Face.
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Spearheading the development of production ready AI models, from foundational LLMs to custom built cognitive agents, solving real world business challenges.
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Establishing scalable ML/AI pipelines and infrastructure, working closely with data engineering and DevOps functions (Kubernetes, MLflow, Vertex AI, etc.).
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Acting as a thought leader, identifying new AI use cases and communicating technical vision to executive stakeholders and cross-functional teams.
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Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models.
What we need you to have:
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A deep technical grounding in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks.
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Proven track record of leading AI initiatives from R&D to production, including delivery of generative AI applications, custom LLMs, or intelligent agents.
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Strategic mindset with the ability to balance research innovation and commercial value delivery.
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Comfortable operating across cloud environments (GCP, Azure, AWS) and deploying AI/ML systems at scale.
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Strong knowledge of MLOps practices and infrastructure including CI/CD, model versioning, orchestration, and monitoring.
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A collaborative and inspiring leader who brings out the best in technical teams and communicates complex concepts to diverse audiences.
Why This Role Stands Out:
This opportunity will enable you to lead transformative AI products that go beyond dashboards and models,powering real-time automation, autonomous decision making, and LLM-driven innovation.
Join an organisation investing heavily in next-gen AI, with an open mindsetfor experimentation and thought leadership.
AI Lead, AI Team Lead, Head of AI in Saffron Walden employer: Smile Digital Talent Ltd
Contact Detail:
Smile Digital Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead, AI Team Lead, Head of AI in Saffron Walden
✨Tip Number 1
Network with professionals in the AI field, especially those who have experience in leading teams or projects. Attend industry conferences, webinars, and local meetups to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your leadership skills by participating in or leading AI-related projects, either in your current job or through open-source contributions. This hands-on experience will not only enhance your resume but also demonstrate your ability to drive AI initiatives from concept to execution.
✨Tip Number 3
Stay updated on the latest trends and advancements in AI technologies, particularly in areas like LLMs and generative models. Being knowledgeable about cutting-edge research will help you articulate a clear vision for AI strategy during interviews.
✨Tip Number 4
Prepare to discuss ethical AI principles and how you would implement them in your work. Companies are increasingly focused on fairness and transparency, so being able to communicate your approach to these issues will set you apart as a candidate.
We think you need these skills to ace AI Lead, AI Team Lead, Head of AI in Saffron Walden
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI leadership, machine learning, and the specific technologies mentioned in the job description, such as PyTorch and TensorFlow. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's vision. Discuss your experience leading AI initiatives and your strategic mindset, emphasising how you can contribute to their goals.
Showcase Your Technical Skills: Include specific examples of projects where you've implemented AI solutions, particularly those involving generative models or LLMs. Highlight your hands-on experience with cloud environments and MLOps practices to demonstrate your technical expertise.
Prepare for Interviews: Anticipate questions about your leadership style and how you manage cross-functional teams. Be ready to discuss ethical AI principles and how you've championed fairness and transparency in your previous roles.
How to prepare for a job interview at Smile Digital Talent Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with deep learning frameworks like PyTorch and TensorFlow. Highlight specific projects where you've led AI initiatives from R&D to production, especially those involving generative AI applications or custom LLMs.
✨Demonstrate Leadership Skills
As a potential AI leader, it's crucial to illustrate your ability to build and inspire high-performance teams. Share examples of how you've successfully managed diverse technical teams and communicated complex concepts to various stakeholders.
✨Discuss Ethical AI Principles
Given the emphasis on ethical AI in this role, be ready to talk about how you ensure fairness, transparency, and robustness in deployed models. Provide examples of how you've championed ethical practices in your previous work.
✨Prepare for Strategic Discussions
This role requires a strategic mindset, so think about how you can balance research innovation with commercial value delivery. Be prepared to discuss your vision for AI use cases and how they can impact business outcomes.
