At a Glance
- Tasks: Lead AI architecture and delivery, shaping innovative solutions in a fast-paced environment.
- Company: Join a pioneering tech firm at the forefront of AI engineering.
- Benefits: Equity participation, competitive salary, and opportunities for professional growth.
- Other info: Engage with global AI leaders and contribute to cutting-edge projects.
- Why this job: Make a real impact by influencing AI strategy and collaborating with top-tier labs.
- Qualifications: Deep experience in AI/ML, strong Python skills, and excellent communication abilities.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a Tech Lead with deep experience in AI/ML to shape architecture and lead delivery in a rapidly evolving domain. This role is ideal for a senior engineer from a leading AI lab or Big Tech, or an exceptional researcher ready to step into a high-impact leadership position. This is a foundational leadership role with equity participation, offering significant upside.
Key Responsibilities
- Architecture & Build
- Define and lead system architecture (back-end, APIs, and lightweight front-end systems)
- Build scalable AI assurance platforms integrating open-source testing and evaluation frameworks
- Deliver portable, production-ready solutions across cloud environments (AWS, Azure, GCP)
- Design evaluation frameworks for foundation models and AI agents
- AI Model Testing & Assurance
- Build, evaluate, and stress-test models for fairness, robustness, explainability, and governance
- Develop benchmarking pipelines, automated evaluation systems, and continuous monitoring infrastructure
- Produce audit-ready artefacts, dashboards, and reports for regulators, clients, and standards bodies
- Client Relationships & Communication (Critical)
- Act as a technical bridge between engineering, clients, and regulators
- Lead client-facing engagements, pilots, and workshops with senior stakeholders
- Translate complex AI governance frameworks into clear, actionable engineering solutions
- Build long-term relationships with enterprise clients, financial institutions, and public sector organisations
- Communicate technical concepts effectively to both technical and non-technical audiences
- Collaboration with Global AI Leaders
- Partner with teams and ecosystems connected to leading AI labs
- Engage with frameworks shaped by organisations like OECD and evolving global standards
- Contribute to the long-term technical roadmap of AI assurance platforms
Skills & Experience
- Proven track record building, training & evaluating AI/ML models
- Experience with AI testing, assurance, or evaluation tools strongly preferred
- Strong Python skills and familiarity with modern ML frameworks (e.g. PyTorch, TensorFlow)
- Cloud experience (AWS, Azure, or GCP) including deployment and scaling of AI systems
- Familiarity with Responsible AI frameworks (EU AI Act, NIST AI RMF)
- Hands-on experience with explainability and fairness tools (e.g. SHAP, LIME, AIF360, ART)
- Excellent communication skills and client-facing experience
- Strong documentation and stakeholder management abilities
- Intellectual curiosity, ownership mindset, and ambition to grow into senior leadership
Why Join
- Direct exposure to top-tier AI labs, regulators, and enterprise clients
- Opportunity to own architecture, influence strategy, and build from zero to one
- Equity participation aligned with company growth
Tech Lead - AI Engineering in Slough employer: T3
Join a pioneering company at the forefront of AI engineering, where you will have the opportunity to shape innovative architectures and lead impactful projects in a collaborative environment. With direct exposure to leading AI labs and enterprise clients, our culture fosters intellectual curiosity and offers significant equity participation, ensuring that your contributions are recognised and rewarded. We prioritise employee growth through mentorship and engagement with global AI leaders, making this an exceptional place for those looking to advance their careers in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Lead - AI Engineering in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space, especially those at leading labs or big tech companies. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your AI projects and contributions. When you get the chance to meet potential employers, let your work speak for itself.
✨Tip Number 3
Be ready for technical discussions! Brush up on your knowledge of AI frameworks and tools. You might be asked to solve problems on the spot, so practice makes perfect.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your approach to highlight how your skills align with our mission in AI engineering.
We think you need these skills to ace Tech Lead - AI Engineering in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your AI/ML expertise and any relevant projects you've led, as we want to see how you can shape our architecture.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this Tech Lead role. Share your passion for AI and how your background aligns with our mission at StudySmarter. Be genuine and let your personality shine through!
Showcase Your Communication Skills:Since this role involves client relationships and technical communication, make sure to demonstrate your ability to explain complex concepts clearly. Use examples from your past experiences where you successfully communicated with both technical and non-technical audiences.
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’re considered for this exciting opportunity. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at T3
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI/ML. Be prepared to discuss your experience with specific frameworks like PyTorch or TensorFlow, and have examples ready that showcase your ability to build and evaluate models.
✨Showcase Your Leadership Skills
This role is all about leadership, so be ready to talk about your past experiences leading teams or projects. Highlight how you've acted as a bridge between technical and non-technical stakeholders, and share any successful client engagements you've led.
✨Prepare for Technical Questions
Expect deep technical questions related to system architecture and AI assurance platforms. Brush up on your knowledge of cloud environments like AWS, Azure, or GCP, and be ready to explain how you would design evaluation frameworks for AI models.
✨Communicate Clearly and Confidently
Since you'll need to communicate complex concepts to various audiences, practice explaining your ideas in simple terms. Use clear examples to demonstrate your points, and don’t shy away from asking clarifying questions if needed during the interview.
