At a Glance
- Tasks: Lead the design and deployment of innovative AI solutions across multiple business functions.
- Company: Join a pioneering organisation transforming businesses with cutting-edge AI technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with significant autonomy and career advancement opportunities.
- Why this job: Shape the future of AI while working with industry leaders and making a real impact.
- Qualifications: Strong background in AI, machine learning, and leadership experience in tech environments.
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 Wakefield 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 allows for flexibility while providing employees with access to cutting-edge projects in AI and technology, alongside opportunities for professional growth and mentorship from industry leaders. Join us to be part of a pioneering team that is shaping the future of AI solutions and making a tangible impact in various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technical Lead in Wakefield
✨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 expertise.
✨Tip Number 2
Show off your skills! Create a portfolio of your projects, especially those related to AI and machine learning. This will give you a tangible way to demonstrate your capabilities to potential employers.
✨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 and how they relate to the role of an AI Technical Lead.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Technical Lead in Wakefield
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, make sure to include them in your application. Whether it's building AI solutions or leading teams, we want to see concrete examples of your work and impact in the field.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're serious about 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 and machine learning concepts, especially around Generative AI and Large Language Models. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves leading teams and making architectural decisions, prepare examples that highlight your leadership experience. Think about times when you mentored others or drove a project from concept to production.
✨Understand the Company’s Vision
Research the company and its mission in AI innovation. Be prepared to discuss how your skills align with their goals and how you can contribute to their vision of building next-generation AI capabilities.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your expertise with Python, AWS, and MLOps pipelines. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
