At a Glance
- Tasks: Lead the development of cutting-edge Generative AI systems and collaborate with clients on real-world solutions.
- Company: Join a high-growth consultancy investing in innovative AI technologies.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on innovation and collaboration.
- Why this job: Make a tangible impact in the AI space while shaping the future of technology.
- Qualifications: 3+ years in Generative AI or applied ML, with cloud experience on AWS or GCP.
The predicted salary is between 80000 - 100000 £ per year.
Location: UK (Hybrid – 1–2 days per week onsite)
Employment Type: Permanent
167 Solutions is partnering with a high-growth consultancy making a significant multi-year investment into Generative AI. You will be one of the core technical leaders, responsible for hands-on delivery from day one, while also helping shape a new Generative AI Centre of Excellence (CoE).
This is a 24/7 hands-on engineering role, building, testing, deploying, and iterating production-grade GenAI systems at enterprise scale. You will help define the technical direction, tooling, and engineering standards while actively writing code and shipping solutions.
- Design, build, and deploy Generative AI systems end to end – from use-case discovery through to production.
- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and enterprise data sources.
- Work extensively with open-source and commercial LLM ecosystems, including Hugging Face models and tooling.
- Implement prompt engineering, evaluation frameworks, and performance optimisation strategies.
- Architect secure, scalable GenAI solutions on AWS and GCP.
- Apply LLMOps / MLOps practices: versioning, monitoring, cost control, bias, and drift management.
- Work directly with clients to translate business problems into deployable AI solutions, not slide decks.
- Contribute to building internal IP, accelerators, and reusable frameworks as the CoE scales.
Minimum 3 years’ experience building and deploying Generative AI or applied ML systems. RAG architectures and vector databases. Cloud-native experience across AWS and/or GCP. Experience operating at Senior / Lead / Manager level, or as the go-to GenAI engineer on projects. Enterprise-scale builds with real users, real data, and real impact. Hybrid working that balances autonomy with collaboration.
Tech Lead in London employer: 167Solutions
At 167 Solutions, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge Generative AI projects, providing you with the opportunity to lead impactful initiatives while enjoying the flexibility of hybrid working. Join us to be part of a forward-thinking team where your contributions directly shape the future of AI solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who are already working in Generative AI. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on projects in Generative AI. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in Generative AI. Be ready to discuss your experience with RAG architectures and vector databases, and how you've tackled real-world problems using these technologies.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate tech leads who want to make an impact. Plus, applying directly can sometimes speed up the process and get your application in front of the right people faster.
We think you need these skills to ace Tech Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Tech Lead role. Highlight your hands-on experience with Generative AI, cloud platforms like AWS or GCP, and any leadership roles you've held. We want to see how you can contribute to our exciting projects!
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 a perfect fit for our team. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills:In your application, don't shy away from diving into the technical details. Talk about the tools and technologies you've used, especially around RAG architectures and LLMOps practices. We love seeing candidates who can get into the nitty-gritty of their work!
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 the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at 167Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around Generative AI, RAG architectures, and cloud platforms like AWS and GCP. Brush up on your coding skills and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Hands-On Experience
Since this role is all about hands-on delivery, prepare to share detailed examples of your past work. Talk about how you’ve built, tested, and deployed AI systems, and be ready to dive into the nitty-gritty of your engineering processes and decision-making.
✨Understand the Business Context
This position requires translating business problems into AI solutions. Research the company’s clients and their industries, and think about how your technical skills can solve real-world issues. Be prepared to discuss how you would approach client interactions and project requirements.
✨Prepare for Collaborative Scenarios
Given the hybrid working model, demonstrate your ability to collaborate effectively, even when working remotely. Think of examples where you’ve successfully worked in a team, especially in a leadership capacity, and how you’ve balanced autonomy with collaboration.
