Associate Engineer – Graduate Entry Role

Cloudscaler

Graduate engineer building AI agents, data solutions, and AWS cloud systems at Cloudscaler, a UK cloud transformation consultancy. Developing production-ready solutions through mentoring, live client work, and funded industry certifications.

Posted 8/5/2026full-timeLondon • 🇬🇧 United KingdomEntry Level💰 £34,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong programming skills in Python and experience with AI agents and LLMs, while effectively utilizing AWS services for solution deployment. Exhibits a commitment to professional development in data science and cloud engineering within regulated environments.

Highest-signal resume keywords

Python ProgrammingAI Agent DevelopmentAWS ServicesAgile MethodologiesDeveloped Vetting (DV) Eligibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI AgentsLLMsData IntegrationSolution Performance EvaluationTechnical DocumentationAgile PracticesKanbanCloud EngineeringProject Completion

Soft Skills

Clear CommunicationCollaborative AttitudeMotivation for Career DevelopmentWillingness to Ask for HelpAbility to Act on Feedback

Tools & Technologies

AWSAzureGCPDockerLinux

Industry Keywords

Responsible AIRegulated SettingsData ScienceComputer ScienceClient Consulting

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformLinuxPython

About the role

Key responsibilities & impact

Build, prototype, and deploy AI agents and agentic solutions using Python, LLMs, and AWS services
Prepare and integrate data from internal systems and rigorously evaluate solution performance
Move solutions from prototype toward production with testing, monitoring, and documentation
Produce technical documentation, decision records, and status updates
Record time accurately and participate in Agile and Kanban practices, stand-ups, reviews, and retrospectives
Use Claude in day-to-day work and verify AI outputs appropriately, especially in regulated settings
Develop toward SFIA Level 3 across core engineering skills within the first year
Participate in live client problems, mentoring, in-person onboarding, and consulting-skills sessions

Requirements

What you’ll need

A strong degree, preferably 2:1 or above or a Master’s, in Data Science, Computer Science, or a closely related discipline
Solid programming ability, ideally in Python
Genuine interest in AI, data, and cloud engineering
Motivation to build a professional engineering career and develop quickly on live work
Clear, honest communication and a collaborative attitude
Willingness to ask for help and act on feedback
Eligibility for and willingness to undergo Developed Vetting (DV)
Ability to meet DV UK nationality and residency requirements
Hands-on LLM or AI agent framework experience is advantageous
Exposure to Python, AWS, Azure, GCP, Docker, or Linux is advantageous
Evidence of completing a project, dissertation, or side interest to a good standard
Interest in responsible AI use in regulated settings
Right to work in the UK

Benefits

Comp & perks

Discretionary bonus
Discretionary security clearance bonus for those holding certain clearance
Periodic offer of share options schemes
25 days’ annual leave
5 additional days per year towards training, certifications, or charity work
Option to buy additional annual leave up to 5 days per year
Public holidays opt-out scheme, the option to work on public holidays creating the flexibility to enjoy your time off when it suits you
Certifications and training expensed
Life Assurance
Long Term Disability cover
Employee Assist Programme for employee advice and support (including legal and counselling helpline)
Health, Mental Health, Wellbeing, Financial and Legal support
24/7 GP access
Pension auto-enrolment and contribution
Employee referral scheme
Client referral scheme
Cycle to work scheme
Travel expenses policy
Funded route to AWS and Anthropic certifications