At a Glance
- Tasks: Lead the design and deployment of cutting-edge AI solutions in a hands-on role.
- Company: Join 167 Solutions, a leader in AI recruitment and innovation.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a pioneering team driving significant AI transformation.
- Why this job: Shape the future of AI while working with top industry talent.
- 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.
Technical Manager F/H employer: 167Solutions
At 167 Solutions, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. Our hybrid work model offers flexibility while providing employees with access to cutting-edge projects in AI and technology, alongside competitive salaries and comprehensive benefits. We are committed to employee growth, offering mentorship and opportunities to lead transformative AI initiatives that make a tangible impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Manager F/H
✨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 applying for roles.
✨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 past experiences in detail. We recommend doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to each role and highlight how your experience aligns with the job description. Let’s get you that dream job in AI!
We think you need these skills to ace Technical Manager F/H
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Technical Lead role. Highlight your expertise in machine learning, cloud technologies, and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for this role. Be sure to mention specific experiences that demonstrate your leadership and technical skills.
Showcase Your Projects:If you've worked on any AI or machine learning projects, don’t hold back! Include links or descriptions of your work that showcase your ability to design and deploy AI solutions. We love seeing real-world applications of your skills.
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 what we do at StudySmarter!
How to prepare for a job interview at 167Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and the specific technologies mentioned in the job description. Be ready to discuss your experience with Generative AI, LLMs, and cloud platforms like AWS. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Leadership Skills
Since this role involves leading teams and influencing technical strategy, prepare examples of how you've successfully led projects or mentored others in the past. Highlight your ability to drive engineering best practices and how you've contributed to the success of AI initiatives in previous roles.
✨Prepare for Technical Questions
Expect to face some technical questions or even a coding challenge related to Python or AI model deployment. Practise explaining your thought process clearly and concisely, as communication is key in a leadership role. Don't hesitate to ask clarifying questions if needed during the interview.
✨Align with Responsible AI Principles
Familiarise yourself with responsible AI frameworks and be prepared to discuss how you ensure compliance and security in your AI solutions. This shows that you understand the ethical implications of AI and are committed to building systems that are not only effective but also responsible.
