At a Glance
- Tasks: Lead the design and deployment of innovative AI solutions that drive business impact.
- Company: Join a pioneering tech consultancy transforming businesses through AI and automation.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on cutting-edge technology and real-world applications.
- Why this job: Shape the future of AI while collaborating with top industry talent.
- Qualifications: Strong background in AI, machine learning, and leadership experience 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. Our focus is simple: connecting the right people with the right opportunities to drive sustainable business growth.
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.
What You'll Be Doing
- 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
- Working closely with product and business stakeholders to translate requirements into technical solutions
- 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
Technologies
- Python (essential)
- PyTorch
- TensorFlow
- Scikit-Learn
- LangChain
- LangGraph
- Hugging Face
- Vector Databases (Pinecone, Weaviate, ChromaDB or similar)
- FastAPI
- REST APIs
- Cloud & Infrastructure
- AWS (essential)
- Bedrock
- SageMaker
- Lambda
- ECS / EKS
- API Gateway
- DynamoDB
- S3
- CloudFormation or Terraform
- Data & Engineering
- SQL and NoSQL databases
- Data Warehousing and Data Lake architectures
- ETL and Data Pipeline development
- Git
- CI/CD
- Docker
- Kubernetes
- Monitoring and Observability platforms
Leadership Experience
You will ideally have experience:
- Leading AI, Machine Learning or Software Engineering teams
- Making architectural and technical decisions within enterprise environments
- Engaging with senior stakeholders and executive leadership teams
- Defining engineering standards and governance processes
- Mentoring and developing high-performing technical teams
- Delivering complex AI programmes from concept to production
Nice to Have
- Experience developing Voice AI platforms
- Accessibility-focused AI solutions
- Experience with multimodal AI models
- Knowledge of Responsible AI frameworks
- Exposure to healthcare, fintech, retail or enterprise SaaS environments
- Experience building customer-facing AI products at scale
Education
Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related discipline. Equivalent commercial experience will also be considered.
Why Apply?
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.
To apply or find out more, contact: 167Solutions.com
AI Technical Lead in London employer: 167Solutions
At 167 Solutions, we pride ourselves on being an exceptional employer that fosters a supportive and collaborative work culture. Our team enjoys flexible working arrangements, competitive remuneration, and ample opportunities for professional development, all within the vibrant setting of a growing FCA-regulated family office. Join us to build meaningful relationships with high-net-worth clients while advancing your career in a dynamic environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technical Lead in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative AI or cloud-native solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications of AI. Be ready to discuss your past projects and how you've tackled challenges in AI development. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Technical Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Technical Lead role. 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 position. Let us know what excites you about the opportunity at 167 Solutions.
Showcase Your Projects:If you've worked on 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. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at 167Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially around Generative AI and Large Language Models. Be ready to discuss your experience with specific technologies like Python, PyTorch, and AWS, as these will likely come up in conversation.
✨Showcase Your Leadership Skills
Since this role involves leading teams and making architectural decisions, prepare examples of how you've successfully led projects or mentored others. Highlight your experience engaging with senior stakeholders and how you’ve influenced technical direction in previous roles.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Brush up on your understanding of MLOps pipelines, model governance, and cloud-native architectures. Practise explaining complex concepts in a way that’s easy to understand, as you may need to communicate with non-technical stakeholders.
✨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 is a hot topic in the industry, so showing that you’re aware of these principles will set you apart from other candidates.
