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 tech recruitment for innovative AI and technology firms.
- Benefits: Attractive salary, hybrid work model, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving AI innovation and enterprise transformation.
- Why this job: Shape the future of AI while working with top industry talent on impactful projects.
- 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 Industry Manager (m/w/d) 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 commitment to employee growth is evident through our investment in cutting-edge AI projects, offering you the chance to lead transformative initiatives while working alongside industry experts. With a hybrid work model and competitive benefits, we provide a dynamic environment where your contributions will have a meaningful impact on the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Industry Manager (m/w/d)
✨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. You never know who might have the inside scoop on job openings or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This is your chance to demonstrate what you can do beyond just a CV. Share it on platforms like GitHub or your personal website.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world scenarios. Practice explaining complex concepts in simple terms. Remember, they want to see how you think and solve problems, so be ready to showcase your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience with AI and cloud technologies, and let us help you land that dream job!
We think you need these skills to ace Technical Industry Manager (m/w/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI, machine learning, and cloud technologies to grab our attention!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Technical Industry Manager role. Share your passion for AI and how your past experiences align with our mission at 167 Solutions.
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work with AI solutions, especially those involving Generative AI or cloud-native architectures.
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 this exciting opportunity!
How to prepare for a job interview at 167Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, especially around Generative AI and Large Language Models. Be ready to discuss your experience with building and deploying AI solutions, as well as any specific projects you've worked on that relate to the job description.
✨Showcase Your Leadership Skills
Since this role involves leading teams and influencing technical strategy, prepare examples of how you've successfully led projects or teams in the past. Highlight your mentoring experiences and how you've driven engineering best practices.
✨Understand Their Business
Research 167 Solutions and the pioneering organisation they’re supporting. Understand their mission, values, and the kind of AI solutions they are developing. This will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your Python skills, cloud technologies, and MLOps pipelines. Be ready to explain your thought process when designing scalable AI systems and how you ensure compliance with responsible AI principles.
