At a Glance
- Tasks: Lead the design and deployment of innovative AI solutions in a hands-on role.
- Company: Join a pioneering tech consultancy transforming businesses with AI.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving significant AI innovation.
- Why this job: Shape the future of AI while working with industry leaders and cutting-edge technology.
- Qualifications: Strong background in AI, machine learning, and software engineering required.
The predicted salary is between 140000 - 170000 £ per year.
Location: London / South West UK (Hybrid)
Salary: £140,000 - £170,000 + Benefits
Type: Permanent
About 167 Solutions
167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We partner with innovative start-ups, scale-ups and enterprise organisations that are transforming the way businesses operate through artificial intelligence, automation and modern software engineering.
The Opportunity
We are supporting a pioneering organisation that is building next-generation AI capabilities and looking for an experienced AI Technical Lead to drive the design, development and deployment of enterprise-scale AI solutions. This is a hands-on leadership role where you will shape technical strategy, influence architecture decisions and lead the delivery of cutting-edge AI products from concept through to production. You will work closely with executive stakeholders, product teams, engineers and data specialists to build scalable, secure and responsible AI systems that create measurable business impact.
The successful candidate will combine strong software engineering foundations with deep expertise in machine learning, Generative AI, cloud technologies and modern AI infrastructure.
- Leading the technical direction of AI and Machine Learning initiatives across multiple business functions
- Designing, developing and deploying production-grade AI solutions
- Building and optimising Large Language Model (LLM) applications, RAG architectures and Agentic AI systems
- Developing speech-to-text, voice AI and accessibility-focused AI solutions
- Creating intelligent conversational experiences using modern AI frameworks
- Architecting scalable cloud-native AI platforms within AWS environments
- Building and maintaining robust MLOps pipelines and model governance frameworks
- Leading technical discovery workshops and AI strategy discussions
- Ensuring AI solutions are secure, compliant and aligned with responsible AI principles
- Mentoring AI Engineers, Machine Learning Engineers and Data Scientists
- Driving engineering best practice including CI/CD, testing, monitoring and observability
Technical Experience Required
- Artificial Intelligence & Machine Learning
- Strong commercial experience designing, training, evaluating and deploying Machine Learning models
- Experience with Generative AI and Large Language Models
- Building Retrieval Augmented Generation (RAG) platforms
- Agentic AI and autonomous workflow development
- NLP, speech recognition and conversational AI solutions
- Fine-tuning and optimisation of AI models
- Model evaluation, monitoring and governance
- Python (essential)
- Vector Databases (Pinecone, Weaviate, ChromaDB or similar)
- AWS (essential)
- Data & Engineering
- SQL and NoSQL databases
- Data Warehousing and Data Lake architectures
- ETL and Data Pipeline development
- Monitoring and Observability platforms
- Leading AI, Machine Learning or Software Engineering teams
- Delivering complex AI programmes from concept to production
- Experience developing Voice AI platforms
- Accessibility-focused AI solutions
- Experience with multimodal AI models
- Knowledge of Responsible AI frameworks
- Experience building customer-facing AI products at scale
Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related discipline. Equivalent commercial experience will also be considered.
This is an opportunity to join a business making significant investment in AI innovation and enterprise transformation. You will have the autonomy to influence strategy, shape technical direction and build AI solutions that deliver real-world impact while working alongside some of the brightest minds in the industry. If you're passionate about Generative AI, cloud-native architecture, voice technologies and leading high-performing engineering teams, we'd love to hear from you.
167 Solutions – Connecting exceptional AI talent with exceptional opportunities.
Head of Medical Technology employer: 167Solutions
At 167 Solutions, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Located in the vibrant tech hub of London/South West UK, we offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth in the rapidly evolving field of AI. Join us to work alongside industry leaders and contribute to groundbreaking projects that make a tangible impact on businesses and society.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Medical Technology
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and tech space. Attend meetups, webinars, or industry events to meet potential employers and showcase your passion for AI. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those related to AI and machine learning. Use platforms like GitHub to share your code and demonstrate your expertise. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with AI solutions. We want to see how you can lead and innovate in this space!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and gives you another chance to reiterate why you’re the perfect fit for the job.
We think you need these skills to ace Head of Medical Technology
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Technical Lead. Highlight your experience with machine learning, cloud technologies, and any leadership roles you've held. 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 AI and how your background makes you the perfect fit for this role. 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 in Python, AWS, and any experience with Generative AI or Large Language Models. 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 a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at 167Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially Generative AI and Large Language Models. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
As a Head of Medical Technology, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've mentored engineers or led technical discussions, and be ready to explain your approach to driving engineering best practices.
✨Understand the Business Impact
It's crucial to connect your technical expertise with business outcomes. Think about how your AI solutions have created measurable impacts in previous roles and be prepared to share specific examples during the interview.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI strategy, their approach to responsible AI, and how they envision the future of AI in their organisation. This shows your genuine interest and helps you assess if it's the right fit for you.
