At a Glance
- Tasks: Design and develop cutting-edge AI solutions that transform businesses.
- Company: Join a high-growth tech consultancy focused on AI innovation.
- Benefits: Competitive salary, hybrid work model, and career progression opportunities.
- Other info: Collaborative culture with significant investment in emerging technologies.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 3+ years in software engineering with AI or ML experience.
The predicted salary is between 80000 - 120000 £ per year.
Location: London (Hybrid - 2-3 days per week onsite)
Salary: £80,000 - £120,000 + 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 work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance.
We are currently supporting a high-growth organisation seeking an experienced AI Engineer to join their expanding AI function and help build next-generation intelligent products and services.
The Opportunity
This is an exciting opportunity for an AI Engineer who enjoys solving complex problems and building production-ready AI solutions that deliver measurable business value. Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice technologies and advanced data-driven applications.
Key Responsibilities
- Design, develop and deploy AI and Machine Learning solutions into production environments
- Build and optimise Generative AI applications using Large Language Models (LLMs)
- Develop Retrieval Augmented Generation (RAG) architectures and AI agents
- Build speech-to-text, voice AI and accessibility-focused solutions
- Create intelligent chatbots, virtual assistants and conversational AI platforms
- Develop APIs and microservices to support AI applications
- Build scalable data pipelines for AI model training and inference
- Fine-tune, evaluate and optimise machine learning models
- Collaborate with software engineering teams to integrate AI capabilities into existing products
- Monitor model performance and implement continuous improvement processes
- Ensure AI solutions are secure, scalable and compliant with governance standards
- Participate in technical design sessions and contribute to architectural discussions
Technical Skills Required
- Artificial Intelligence & Machine Learning
- Commercial experience developing Machine Learning solutions
- Experience working with Large Language Models (LLMs)
- Knowledge of Generative AI technologies
- RAG (Retrieval Augmented Generation) implementation experience
- NLP and Conversational AI development
- Model training, testing and evaluation
- Prompt Engineering and AI workflow optimisation
Programming & Frameworks
- Strong Python development skills
- PyTorch
- TensorFlow
- Scikit-Learn
- LangChain
- LangGraph
- Hugging Face
- FastAPI
- REST APIs
Data Technologies
- SQL
- NoSQL Databases
- Data Modelling
- ETL Development
- Data Pipeline Engineering
- Vector Databases such as Pinecone, Weaviate or ChromaDB
Cloud & DevOps
- Experience with at least one major cloud platform: AWS (preferred), Bedrock, SageMaker, Lambda, ECS / EKS, S3
- Or experience within: Microsoft Azure, Google Cloud Platform (GCP)
- Additional experience with: Docker, Kubernetes, Git, CI/CD Pipelines, Terraform (desirable)
What We're Looking For
- Strong software engineering foundations
- Passion for AI and emerging technologies
- Experience delivering solutions in production environments
- Ability to work collaboratively across engineering and business teams
- Strong problem-solving and analytical skills
- Excellent communication skills
- Desire to learn and stay ahead of rapidly evolving AI technologies
Desirable Experience
- Voice AI solutions
- Speech Recognition technologies
- Accessibility-focused AI applications
- Agentic AI systems
- Multi-modal AI platforms
- MLOps and model monitoring
- Real-time AI inference systems
- Enterprise AI deployments
Education & Experience
- Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering or related discipline
- Equivalent commercial experience considered
- Typically 3+ years of software engineering experience with exposure to AI, Machine Learning or Data Science projects
What's On Offer?
- Salary between £80,000 - £120,000
- Hybrid working model
- Exposure to cutting-edge AI technologies
- Opportunity to work on enterprise-scale AI initiatives
- Clear progression into Senior AI Engineer or AI Technical Lead roles
- Collaborative and innovative engineering culture
- Significant investment in AI and emerging technology
If you're passionate about Generative AI, Machine Learning, Voice AI, Agentic Systems and building technology that genuinely transforms businesses, we'd love to hear from you.
AI Lead Engineer employer: 167 Solutions
At 167 Solutions, we pride ourselves on being an exceptional employer, offering a dynamic hybrid work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through clear progression paths into senior roles, alongside significant investment in cutting-edge AI technologies that empower our team to tackle complex challenges and deliver impactful solutions. Join us to be part of a forward-thinking culture where your passion for AI can truly thrive.
StudySmarter Expert Advice🤫
We think this is how you could land AI Lead Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether it's a chatbot you built or a machine learning model you optimised. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. Practice common interview questions and think about how your experience aligns with the role of an AI Lead Engineer.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm and makes it easier for us to connect you with the right roles.
We think you need these skills to ace AI Lead Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Lead Engineer role. Highlight your experience with Machine Learning, Generative AI, and any relevant projects you've worked on. 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 a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any AI or Machine Learning projects, make sure to showcase them in your application. Whether it's a GitHub repo or a brief description, we want to see your hands-on experience and problem-solving skills in action.
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 genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at 167 Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and Machine Learning technologies, especially Large Language Models and Generative AI. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some complex problems during the interview. Think about how you would approach designing and deploying AI solutions. Use examples from your experience to demonstrate your analytical skills and how you’ve overcome challenges in previous roles.
✨Collaborate Like a Pro
Since this role involves working with various teams, be prepared to discuss how you collaborate with software engineers, product teams, and data scientists. Share specific instances where teamwork led to successful project outcomes.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
