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 Colchester employer: 167Solutions
167 Solutions is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the AI Technical Lead role based in London/South West UK. With a strong focus on employee growth, you will have the opportunity to lead cutting-edge AI initiatives while collaborating with top-tier professionals in the field. The company offers competitive salaries, comprehensive benefits, and the chance to make a tangible impact in the rapidly evolving AI landscape, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technical Lead in Colchester
✨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 showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your AI projects, especially those involving Generative AI and cloud technologies. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've driven AI initiatives and made architectural decisions in past roles.
✨Tip Number 4
Don't forget to apply through our website! We’re all about connecting the right talent with the right opportunities, so make sure your application stands out and showcases your passion for AI.
We think you need these skills to ace AI Technical Lead in Colchester
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 role. Let us know what excites you about working with cutting-edge technology.
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 love to see real examples of your work and the impact it had.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications 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 the latest trends in AI and machine learning, especially around Generative AI and Large Language Models. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves leading teams and making architectural decisions, prepare examples of how you've successfully led projects or teams in the past. Highlight your mentoring experiences and how you've influenced technical strategies.
✨Understand the Business Impact
Be prepared to discuss how your AI solutions have driven measurable business impact. Think about specific projects where your work has contributed to business growth or improved processes, and be ready to share those stories.
✨Engage with Stakeholders
This role requires collaboration with various stakeholders. Practice articulating how you would translate technical requirements into actionable plans for non-technical audiences. Show that you can bridge the gap between tech and business effectively.
