At a Glance
- Tasks: Lead the design and deployment of innovative AI solutions in a hands-on role.
- Company: Join 167 Solutions, a leader in tech recruitment for AI and technology.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a pioneering team driving significant AI innovation.
- 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.
Tech Lead 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 Tech Lead
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or tech conferences. You never know who might be looking for a Tech Lead like you, and personal connections can often lead to job opportunities.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your AI projects, GitHub repositories, or even blog posts about your insights in the field. This will help you stand out and show potential employers what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and machine learning. Be ready to discuss your past projects and how you’ve tackled challenges. Remember, it’s not just about technical skills; show your leadership qualities too!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that dream job! We’re always on the lookout for exceptional talent, and applying directly helps us get to know you better. Don’t miss out on the opportunity to join an innovative team!
We think you need these skills to ace Tech Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Tech Lead role. Highlight your expertise in AI, machine learning, and cloud technologies, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this position. Share your passion for AI and how your previous experiences have prepared you to lead innovative projects.
Showcase Your Projects:Include specific examples of AI solutions you've designed or led. We want to see your hands-on experience and how you've driven impactful results in your past roles.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. This way, we can easily track your application and get back to you quicker!
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 technologies like AWS. This will show that you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Leadership Skills
As a Tech Lead, you'll need to demonstrate your ability to lead teams and influence technical strategy. Prepare examples of how you've successfully led projects or mentored others in the past. Highlight your experience in driving engineering best practices and delivering complex AI programmes.
✨Prepare for Technical Questions
Expect to face some tough technical questions during the interview. Brush up on your Python skills, model evaluation techniques, and MLOps pipelines. Practising coding challenges or discussing your approach to problem-solving can help you feel more confident when tackling these questions.
✨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. Showing that you understand the ethical implications of AI and how to build secure systems will set you apart from other candidates.
