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- Tasks: Lead the development of cutting-edge AI solutions and mentor a talented team.
- Company: Join Kainos, a forward-thinking tech company focused on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in AI while collaborating with industry experts.
- Qualifications: Experience in AI/ML deployment, strong Python skills, and cloud platform expertise.
- Other info: Fast-paced environment with a culture of continuous learning and innovation.
The predicted salary is between 36000 - 60000 £ 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 Newcastle upon Tyne employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in Newcastle upon Tyne
✨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 Newcastle upon Tyne
Some tips for your application 🫡
Showcase Your Experience: When writing your application, make sure to highlight your experience with deploying AI/ML solutions. Use specific examples that demonstrate your skills in prompt engineering and model evaluation. We want to see how you've tackled real-world challenges!
Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it's necessary, and make sure your passion for AI shines through. We appreciate straightforward communication, so let us know why you're excited about this role!
Tailor Your Application: Don’t just send a generic application! Tailor it to the Lead AI Engineer position by aligning your skills with the job description. Mention your experience with cloud platforms like Azure and AWS, and how you’ve implemented responsible AI practices.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Kainos!
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 model evaluation. Be ready to discuss specific projects where you've deployed these technologies, as this will show your hands-on experience.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve software engineering best practices like CI/CD and testing.
✨Understand Responsible AI
Familiarise yourself with responsible AI principles and ethical considerations. Be prepared to discuss how you've implemented these in past projects, as this will highlight your commitment to trustworthy AI solutions.
✨Be a Team Player
Highlight your interpersonal skills and experiences working in teams. Share examples of how you've mentored junior developers or collaborated with colleagues to solve complex problems, as this aligns with the culture of innovation and continuous learning they value.
