At a Glance
- Tasks: Lead hands-on delivery of Generative AI systems and shape a new Centre of Excellence.
- Company: High-growth consultancy investing in innovative Generative AI solutions.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make a real impact by building cutting-edge AI solutions for clients.
- Qualifications: 3+ years in Generative AI or applied ML, with cloud-native experience.
The predicted salary is between 70000 - 90000 £ 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.
Technical Manager F/H 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 in the rapidly evolving field of Generative AI. Our hybrid working model allows for flexibility while ensuring that our team members are integral to shaping our new Centre of Excellence, with ample opportunities for professional growth and hands-on experience in cutting-edge technology. Join us to be part of a forward-thinking consultancy that values your contributions and invests in your development, all while making a tangible impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Manager F/H in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI. 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 technical questions and real-world scenarios. Practice explaining your thought process when tackling problems, as this is key for roles like Technical Manager.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some exciting opportunities waiting for you, and applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Technical Manager F/H in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Technical Manager 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 detailing your technical skills. Whether it's building RAG pipelines or working with LLM ecosystems, we want to know what tools and technologies you’re comfortable with. This is your opportunity to impress us with your technical prowess!
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, it shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at 167Solutions
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI systems, especially the hands-on aspects like building and deploying them. Be ready to discuss specific projects you've worked on, particularly those involving RAG architectures and vector databases.
✨Showcase Your Cloud Experience
Since this role involves working with AWS and GCP, be prepared to talk about your cloud-native experience. Highlight any projects where you've architected secure and scalable solutions, and don't forget to mention how you managed costs and performance.
✨Demonstrate Your Problem-Solving Skills
This position requires translating business problems into deployable AI solutions. Think of examples where you've done this in the past and be ready to explain your thought process. Use real-world scenarios to illustrate how you approached challenges and delivered results.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of LLMOps and MLOps practices. Brush up on versioning, monitoring, and bias management strategies. Being able to articulate these concepts clearly will show you're the right fit for a hands-on engineering role.
