At a Glance
- Tasks: Lead the development of cutting-edge Generative AI systems and deliver impactful 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: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be a core technical leader shaping the future of AI with real-world impact.
- Qualifications: 3+ years in Generative AI or applied ML, with cloud experience on AWS/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.
Head of Medical Technology 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 hybrid working model allows for flexibility while ensuring that our team members are integral to shaping the future of Generative AI. With a strong focus on employee growth, we provide ample opportunities for professional development and hands-on experience in cutting-edge technology, making this an ideal environment for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Medical Technology in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI and ML systems. 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 your technical knowledge and problem-solving skills. Be ready to discuss your hands-on experience with RAG architectures and cloud-native solutions. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Medical Technology in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of Medical Technology role. Highlight your experience with Generative AI, cloud-native solutions, and any hands-on engineering projects you've led. We want to see how your skills align with what we're looking for!
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 the perfect fit for our team. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially around RAG architectures, vector databases, and cloud platforms like AWS and GCP. We love seeing concrete examples of how you've applied these skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 167Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest Generative AI technologies and tools. Brush up on your experience with RAG architectures, vector databases, and cloud platforms like AWS and GCP. Being able to discuss specific projects where you've implemented these technologies will show your hands-on expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've translated complex business problems into deployable AI solutions. Think of examples where you’ve worked directly with clients to deliver impactful results. This will demonstrate your ability to bridge the gap between technical and business needs.
✨Be Ready for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practice coding problems related to Generative AI and be prepared to explain your thought process. This will highlight your problem-solving skills and your ability to think on your feet.
✨Emphasise Collaboration and Leadership
Since this role involves leading a team and working collaboratively, be ready to share your experiences in managing projects and guiding teams. Discuss how you foster collaboration while maintaining autonomy, as this balance is crucial in a hybrid working environment.
