Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 AI/ML deployment, strong Python skills, and a passion for responsible AI practices.
- Other info: Fast-paced culture that encourages 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. 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 Oxford employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in AI. Attend meetups, webinars, or conferences where you can chat with industry folks and get your name out there.
✨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 do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding of AI principles. Practice coding challenges and be ready to discuss your past projects in detail, focusing on how you tackled challenges and delivered results.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talented individuals with amazing opportunities, so make sure you submit your application directly to us for the best chance at landing that Lead AI Engineer role.
We think you need these skills to ace Lead AI Engineer in Oxford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI/ML solutions in your application. We want to see how you've deployed these technologies in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for the Lead AI Engineer role. Use keywords from the job description and relate your past experiences to the responsibilities mentioned. This shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role – we want to understand your journey!
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 makes the whole process smoother for everyone involved.
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 essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be familiar with software engineering best practices like CI/CD and testing.
✨Understand Responsible AI Principles
Kainos values responsible AI practices, so be prepared to discuss ethical considerations and model interpretability. Think of examples from your past work where you ensured that AI solutions were trustworthy and aligned with ethical standards.
✨Be a Team Player
This role involves collaboration and mentoring, so highlight your interpersonal skills. Share experiences where you've worked in a team to solve complex problems or supported junior developers, as this will demonstrate your ability to foster a culture of innovation and continuous learning.
