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For Companies At a Glance
- 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 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. You will do this whilst 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 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 Ipswich employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in Ipswich
✨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 communicate effectively with both techies and non-techies.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities at Kainos, and applying directly can give you an edge. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Lead AI Engineer in Ipswich
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with deploying AI/ML solutions. We want to see how you've tackled challenges like prompt engineering and model evaluation, so don’t hold back!
Be Specific About Your Tech Stack: Mention the tools and technologies you’ve used, especially if they relate to Python, cloud platforms like Azure or AWS, and containerisation tools. We love seeing candidates who are hands-on with modern tech, so let us know what you’ve worked with!
Emphasise Teamwork and Mentorship: As a Lead AI Engineer, you'll be guiding others, so share examples of how you've supported your colleagues or fostered a culture of learning. We’re all about collaboration here at StudySmarter, and we want to see that in your application.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
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, including 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.
✨Talk Cloud and Containers
Familiarise yourself with cloud platforms like Azure and AWS, as well as containerisation tools like Docker and Kubernetes. Be prepared to discuss how you've developed scalable solutions in the cloud and how you’ve used these tools to manage your AI projects effectively.
✨Emphasise Teamwork and Mentorship
As a Lead AI Engineer, you'll be expected to mentor others and foster a culture of innovation. Share examples of how you've supported junior developers in the past and how you approach collaboration. Highlight your interpersonal skills and any experiences where you've successfully led a team through challenging problems.
