Cloud architect Work, Jobs in Kentish Town, Gtl (with Salaries)

Junior AI Software Engineer
Vodafone —London
- Full-time
- Computer Science
- Engineering
- No degree
Chief Technology, Infrastructure & Product Engineering Officer
AXA —London
- £275,000 - £300,000 a year
- Agile
- AI
- Leadership
AI Engineer (LLMs, Agents & Applied Data Science)
Talan —London
- Full-time
- Hybrid work
- Machine learning
- Travel
- Mentoring
- Employee assistance programme
Quick apply
Cloud Solutions Architect (AWS Infrastructure) UK remote
Genedata —Amersham
- Full-time
- Remote
- AWS
AI Engineer-Anthropic-University/Graduate Level - UK
NewRocket —London
- Remote
- Computer Science
- Engineering
- Master's degree
Quick apply
2d
Professional Services 2nd Line Engineer
Computer Care UK Ltd —Leatherhead
- £36,000 - £44,000 a year
- Weekend availability
- Hybrid work
- SharePoint
- In-person
- Free parking
- Profit sharing
Quick apply
1d
Sr. Frontend Engineer - Graph UI (Hybrid, London)
CrowdStrike —London
- Full-time
- AI
- Communication skills
AI Engineer Apprentice
QA Apprenticeships —Brentwood
- £20,000 - £23,000 a year
- Full-time
- Software troubleshooting
- AWS
- AI
- Paid training
AWS Workspace Engineer- UK Remote
MEDIDATA —London
- AWS
- Communication skills
- Annual leave
Software Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- English
- Java
- Master's degree
- Gym membership
Quick apply
Software Engineers
CGI —London
- Full-time
- Java
- AWS
- Software development
Quick apply
Forward Deployed AI Engineer
Keyrus UK —London
- £87,000 - £105,000 a year
- Hybrid work
- Computer Science
- Engineering
- English
- Employee discount
- Life insurance
Data Engineer 12 month FTC
SmartestEnergy —London
- £60,000 - £68,000 a year
- Hybrid work
- Azure
- Travel
Quick apply
Forward Deployed Engineer
Salesforce —London
- Full-time
- Computer Science
- Salesforce
- Travel
Applied AI Architect, Industries
Anthropic —London
- £165,000 - £190,000 a year
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
- Flexible schedule
10d
Functional Tester
Code First Girls —London
- Full-time
- Remote
- Writing skills
- Communication skills
Quick apply
Cloud Engineers
CGI —London
- Full-time
- AWS
- Computer networking
- Software development
Quick apply
UI Engineer (1 year Fixed Term Contract)
Nice —London
- Hybrid work
- Mentoring
- AI
Chief Enterprise Architect
AXA —London
- £275,000 - £300,000 a year
- AI
- Leadership
- Communication skills
Data Engineer
Ki —London
- Full-time
- Hybrid work
- APIs
- Agile
Quick apply

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Junior AI Software Engineer

Vodafone -
London

Apply Now

Job details

Full-time

Qualifications

CI/CD
Law
Computer Science
Stakeholder collaboration
User stories
Engineering
Software development
APIs
Agile
Multidisciplinary collaboration
Business requirements
AI
Communication skills

Full job description

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.

As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.

We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.

#VOIS #BeUnrivalled #CreateTheFuture

About this Role

We are seeking a Junior AI Software Engineer to work within the Digital&IT team, supporting the design, build and operation of core Digital&IT capabilities. In this role, the candidate will work in cross-functional squads and apply AI-enabled Software Development Life Cycle practices to help analyse existing systems, generate structured specifications, support software delivery and validate AI-generated outputs against engineering standards.

The role is suited to someone with a strong foundation in software engineering, an interest in AI-assisted delivery, and the ability to work collaboratively with engineers, architects and product teams to create reusable engineering artefacts and support incremental, specification-led development.

What you will do

Support the analysis of existing systems to identify business logic, integration patterns and reusable capabilities.
Use AI tools to support analysis of codebases and services, helping identify reusable logic and engineering patterns.
Generate and refine specifications, acceptance criteria and user stories aligned with platform architecture.
Create test scenarios and validation artefacts derived from specifications.
Support the translation of business requirements into implementation-ready engineering artefacts.
Collaborate with developers to ensure alignment between specifications, code and testing outputs.
Validate AI-generated specifications, code suggestions, test scenarios and documentation to ensure accuracy, consistency, security and alignment with engineering standards.
Support responsible AI-SDLC practices by identifying risks such as incomplete logic, security gaps and misalignment between business requirements and implementation.
Contribute to incremental, thin-slice delivery while maintaining traceability between requirements, specifications and implementation.
Assist with the implementation of services, APIs and platform components.
Participate in agile ceremonies including refinement, planning, daily stand-ups and retrospectives.
Contribute to AI-SDLC practices, templates and continuous improvement across D&IT squads.

Who you are

Experience with at least one programming language such as Java, Python, JavaScript or similar.
Understanding of APIs, web services and basic system integration concepts.
Familiarity with modern development workflows including Git and CI/CD fundamentals.
Awareness of AI and Large Language Model (LLM) tools and their application within software development.
Exposure to cloud-native development concepts such as microservices, containers or cloud platforms.
Degree in Computer Science, Engineering, Data Science or equivalent experience.
Understanding of how AI tools can support software engineering, specification development and delivery workflows.
Awareness of responsible AI practices, including validation, traceability, quality assurance and security considerations.
Strong communication and documentation skills.
Ability to collaborate effectively within cross-functional teams.
Curiosity, adaptability and enthusiasm for continuous learning.
Exposure to agile delivery and continuous improvement practices.

Not a Perfect Fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What’s in it for you

Opportunity to work with AI-enabled software engineering practices in a fast-evolving technology environment.
Exposure to specification-led and AI-assisted software delivery methodologies.
Experience working alongside software engineers, architects and product teams.
Development opportunities across AI, cloud-native technologies and modern engineering practices.
Participation in innovative digital transformation programmes within D&IT.

What skills you will learn

AI-assisted software engineering and AI-SDLC methodologies.
System analysis and requirements decomposition techniques.
Specification writing, user story creation and validation processes.
API and service-based architecture design principles.
Traceability between requirements, implementation and testing.
Agile delivery and continuous improvement practices.
Responsible AI usage within software development environments.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.

We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.

With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

Alert

Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. #JDEnhancedByTARA

Follow us on social media and #StayConnected

LinkedIn: VOIS on LinkedIn

Facebook: VOIS on Facebook

Instagram: VOIS on Instagram

Apply Now

Refine Your Search

cloud architect jobs in kentish town, gtl

Junior AI Software Engineer

Chief Technology, Infrastructure & Product Engineering Officer

AI Engineer (LLMs, Agents & Applied Data Science)

Cloud Solutions Architect (AWS Infrastructure) UK remote

AI Engineer-Anthropic-University/Graduate Level - UK

Professional Services 2nd Line Engineer

Sr. Frontend Engineer - Graph UI (Hybrid, London)

AI Engineer Apprentice

AWS Workspace Engineer- UK Remote

Software Engineer

Software Engineers

Forward Deployed AI Engineer

Data Engineer 12 month FTC

Forward Deployed Engineer

Applied AI Architect, Industries

Functional Tester

Cloud Engineers

UI Engineer (1 year Fixed Term Contract)

Chief Enterprise Architect

Data Engineer

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