Graduate Technologist (Birmingham) - September 2027 Start Date
Kainos is hiring a Graduate Technologist (Birmingham) - September 2027 Start Date (United Kingdom). It pays £32k-£35k a year and Level rates it ; you can apply on Level.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Cloud Platforms, Low Code and Machine learning.
- Level files it as an internship.
- Level lists 121 other open roles at Kainos.
- The role was posted within the past week.
AI in this role
Graduate technologist in Birmingham participating in an AI-first training academy and subsequent early careers engineering program.
At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
SALARY: £32,000- £35,000
Graduate / Trainee Technologist
JOB PROFILE DESCRIPTION
MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS
As a Graduate/Trainee Technologist with Kainos, you’ll work on projects that make a real difference to people’s lives – including the lives of people you know.
You’ll start your journey with our AI-first Technologist Academy, where you’ll build strong foundations in modern engineering practices, cloud platforms, quality assurance, low-code development, cyber security and data & AI.
After the academy, you’ll join our Early Careers Programme where you’ll gain hands-on experience across different roles, supported by experienced mentors and real project work. You will also continue to develop your technical, professional and business skills during this time.
At Kainos, we operate in a fast-moving, dynamic environment, so adaptability, curiosity, and a willingness to learn are key. You’ll have the opportunity to work across different teams, projects, and business units, developing the skills to become one of our future technical leaders.
What You’ll Experience
Software Engineering
You’ll learn to design, build, and maintain high-quality software solutions using modern programming languages and frameworks. Expect to work on scalable, secure applications that deliver real value to users.
Test / QA Engineering
You’ll develop skills in automated and manual testing, ensuring the quality and reliability of our solutions. You’ll learn how to embed quality into every stage of the development lifecycle.
Data & AI
You’ll explore how data and AI can transform services, from building data pipelines to applying machine learning and generative AI to solve real-world problems.
Low Code
You’ll use low-code platforms to rapidly deliver business solutions, learning how to combine speed with maintainability and integration best practices.
Platforms
You’ll gain experience in cloud infrastructure, DevOps, and automation, ensuring our solutions are secure, scalable, and performant.
Cyber Security
You’ll learn how to build systems that are protected against the latest Cyber & AI security threats. You’ll learn the techniques attackers use to compromise applications and to defend against them.
Upon Completion
You’ll graduate from the Early Careers Programme with a broad technical foundation and the skills to shape our future. Many of our leaders started their careers this way.
You will be responsible for:
- Contributing to technology solutions that deliver measurable value for customers and users.
- Contributing to the specification, validation, implementation and operation of technology solutions, gradually taking ownership of more complex work as your capability develops.
- Collaborating with team members to understand problems, define requirements, challenge assumptions and contribute to solution design and delivery.
- Learning to use AI-assisted tools responsibly to improve quality, productivity and confidence, while maintaining accountability for delivery outcomes.
- Developing breadth across multiple delivery disciplines, including software engineering, quality assurance, platforms, data, cyber security and low-code technologies, while building deeper expertise over time.
- Seeking feedback and continuously improving your knowledge and skills.
Minimum essential requirements:
- Currently studying towards, or already obtained (within the last 2 years, at point of application), at least a Level 6 bachelor’s degree in a relevant subject.
- Must have unconditional right to work in the UK and be eligible for UK Security Clearance (for further details, see FAQS on website).
- Familiarity with one or more technology domains, such as software development, data, testing, cloud platforms, cyber security or low-code technologies, gained through study, projects or practical experience.
- An understanding of how technology solutions are designed, built, tested, deployed and supported, and awareness of the different activities required throughout the delivery lifecycle.
- Curiosity and a willingness to learn new technologies, tools and ways of working, including AI-assisted delivery approaches.
- The ability to analyse problems, challenge assumptions, identify key information and work with others to develop effective solutions.
- Experience using AI-assisted tools to support learning, creativity or problem-solving.
- The ability to communicate clearly and effectively, adapting your style when working with both technical and non-technical audiences.
- The ability to work effectively as part of a team, seek feedback, share knowledge and contribute positively to collective outcomes.
- Exposure to source control, continuous integration, data processing, cyber security practices or cloud platforms.
Desirable:
- Participation in technology-related activities such as hackathons, competitions, clubs, community initiatives or open-source projects.
THINGS TO KNOW BEFORE APPLYING:
Working Arrangements: Upon joining, you will be expected to work in your contracted office for 5 days per week for the duration of the AI-First Technologist Academy. After which, you will work in a hybrid model with 3 office days each week to support your learning and development with your team. Ensuring you are available to attend the office or client sites when required to do so.
Travel expectations: At Kainos, we work with a diverse range of clients, and some of our projects require travel. If travel were required, we will endeavour to keep this to a minimum and ensure sufficient notice is provided.
Popularity of scheme: We’re looking forward to receiving and reviewing your application. We strongly encourage you to apply early. If a high number of applications are received, this role may close earlier than the advertised deadline. In cases where a large volume of applications is received, the recruitment team will apply enhanced criteria to refine the shortlisting process.
Completing your application: Please note that the application process is two parts, completing a questionnaire and uploading your CV. It is essential that you complete the questionnaire in full, to the best of your ability. We recommend avoiding the LinkedIn quick apply function, as it may alter the format of your CV and exclude important details. Instead, please apply directly via the Kainos Careers website: Your Kainos story starts here
Once the role closes, the Job Description will no longer be accessible. We recommend saving a copy in advance.
TIMELINES*
Closing Date – Friday 23rd October 2026
Assessment Centre – W/C Monday 16th – Wednesday 25th November 2026
Outcomes Communicated – W/C Monday 30th November 2026
Start Date – September 2027
*Dates are subject to change due to business needs
While we use innovative technology to help make our recruitment process efficient and accessible, AI doesn't make hiring decisions. Every application is reviewed by our team, and you'll get to know us by name as we guide you through each stage of your Early Careers journey.
If you have any questions, please get in touch with the Kainos Early Careers Talent Acquisition Team: earlycareers@kainos.com
Embracing our differences
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.
Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.
We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
How we rate this
Graduate Technologist (Birmingham) - September 2027 Start Date at Kainos rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Cloud Platforms hands-on?
- Walk me through how you've used Low Code in your day-to-day work.
- What are the limits of Machine learning that you've run into, and how did you work around them?
- What's a project where you used Generative AI hands-on?
Adapt your resume
- List these exact terms on your resume: Cloud Platforms, Low Code, Machine learning, and Generative AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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