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- Tasks: Create advanced AI solutions using the latest machine learning and generative technologies.
- Company: Join Kainos, a leader in innovative tech with a focus on real-world problem-solving.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for continuous learning.
- Why this job: Make a real impact by transforming business challenges into trustworthy AI solutions.
- Qualifications: Experience in deploying AI/ML solutions and strong Python skills required.
- Other info: Be part of a dynamic team that values innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Main Purpose of the Role & Responsibilities in the Business: As a Senior 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.
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.
- Strong interpersonal skills and team working.
- 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.
- Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.
At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people’s lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow. Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day. Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That’s why we’ve been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.
Senior AI Engineer in London employer: Kainos Group plc
Contact Detail:
Kainos Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving modern frameworks like PyTorch or TensorFlow. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding CI/CD practices. Be ready to discuss your experience with deploying AI solutions and how you've tackled real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI/ML solutions, Python skills, and any cloud platform work you've done. 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 like PyTorch or TensorFlow. We love seeing real examples of your work, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. 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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Kainos Group plc
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks mentioned in the job description. Be ready to discuss your experience with machine learning, generative AI, and any specific projects you've worked on that showcase your skills in deploying AI solutions.
✨Showcase 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 or explain your approach to software engineering best practices like CI/CD and testing. Have examples ready that highlight your proficiency.
✨Talk About Teamwork
This role requires strong interpersonal skills, so be prepared to share experiences where you collaborated effectively with others. Think of specific instances where you mentored team members or contributed to a culture of innovation and continuous learning.
✨Understand AI Ethics
Familiarity with AI security, privacy, and compliance standards is crucial. Be ready to discuss how you ensure responsible AI practices in your work. This could include your approach to model evaluation, monitoring, and adherence to standards like ISO42001.
