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- Tasks: Lead the development of cutting-edge AI solutions and mentor a team of tech enthusiasts.
- Company: Join Kainos, a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in AI while collaborating with talented professionals in a dynamic environment.
- Qualifications: Experience in deploying AI/ML solutions and strong Python skills are essential.
- Other info: Fast-paced culture that encourages continuous learning and innovation.
The predicted salary is between 43200 - 72000 £ per year.
hackajob is collaborating with Kainos to connect them with exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures.
Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions while learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction and support as you solve challenging problems together.
Minimum (essential) Requirements
- Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection).
- Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).
- Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker.
- Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data.
- Understanding of responsible AI principles, model interpretability, and ethical considerations.
- Strong interpersonal skills and team working.
Desirable
- Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost).
- Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.
- Contributions to open-source AI projects or research publications.
- Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.
Lead AI Engineer in Guildford employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in Guildford
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and join online forums. The more people you know, the better your chances of landing that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving modern frameworks and cloud solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with customers and mentor junior developers.
✨Tip Number 4
Don't forget to apply through our website! We’re always looking for talented individuals like you to join our team at Kainos. Your next big opportunity could be just a click away!
We think you need these skills to ace Lead AI Engineer in Guildford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with AI/ML solutions, Python skills, and any cloud platform expertise. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include specific projects where you've deployed AI solutions or worked with modern frameworks. This gives us a clear picture of your hands-on experience and how you tackle real-world challenges.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at hackajob
✨Know Your AI Stuff
Make sure you brush up on your knowledge of modern AI/ML solutions, especially around prompt engineering and retrieval-augmented generation. Be ready to discuss your hands-on experience with deploying these technologies in production, as well as how you've monitored their performance using metrics like precision and recall.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. Bring examples of your work that showcase your understanding of software engineering best practices, such as CI/CD and testing. You might even want to do a quick coding exercise during the interview, so practice some common algorithms or data structures beforehand.
✨Talk Cloud and Containers
Familiarise yourself with cloud platforms like Azure and AWS, as well as containerisation tools like Kubernetes and Docker. Be prepared to discuss how you've developed scalable solutions in the cloud and how you’ve used these tools to enhance your projects. Real-world examples will help you stand out!
✨Emphasise Teamwork and Mentorship
As a Lead AI Engineer, you'll be expected to mentor others and foster a culture of innovation. Share experiences where you've collaborated with teams or supported junior developers. Highlight your interpersonal skills and how you approach problem-solving in a team setting, as this will show you're a great fit for their fast-paced environment.
