Associate Engineer (Graduate Entry Role)

3 нед. назад

35k GBP / yearUnited KingdomEuropeJuniorHybrid

aws

Graduate engineering role focused on AI, data, and cloud with hands-on experience in AWS solutions relevant to government and enterprise.

Обязанности

Build AI agents: design, prototype, and deploy agentic solutions using Python, large language models (LLMs), and AWS services, guided by experienced engineers.
Work with data: prepare and integrate data from internal systems, and evaluate rigorously whether your solutions actually work.
Ship to a standard: move solutions from prototype towards production, with proper testing, monitoring, and documentation.
Write like a professional: produce clear technical documentation, decision records, and status updates.
Work commercially: record your time accurately, work in Agile and Kanban rhythms, and take part in stand-ups, reviews, and retrospectives.
Use AI well: use Claude in your day-to-day work, and learn when to trust AI output and when to verify it. That judgement matters even more in regulated settings.

Условия

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
Interview Process 1. Screening call with our Talent Acquisition team 30 minutes 2. 1st Interview - 30 minute remote interview with Egnineer 3. 2nd Interview - 60 minute remote scenario based interview with members of the team 4. 3rd Interview - 60 minute in person interview with members of our Leadership Team
are proud to be an equal opportunity employer, committed to equal opportunities regardless of gender identity, sexual orientation, race, ancestry, age, marital status, disability, parental status, religion or medical history.
If you require reasonable adjustments during the recruitment process or within the workplace, please let us know when you speak to our Talent Acquisition team or contact talent@.com at the earliest opportunity.

Другое

Associate Enigneer Location: Central London – Hybrid 4 days per week onsite.
Salary: £34,000
SC Clearance Requirements: Due to working with a number of government bodies, SC clearance is required for our customer facing teams. You do not need active SC clearance as we will undertake checks upon you joining, but you must be eligible to pass SC clearance.
Why you should join us At , you’ll be part of a consultancy at the forefront of cloud transformation, trusted by government, defence, and enterprise organisations to deliver complex AWS solutions that make a real national impact. From modernising public services to securing critical infrastructure, the work you do will matter far beyond technology.
We combine the agility of a startup with the credibility of an AWS Advanced Partner, creating a high-trust, high-performance culture where self-starters thrive and every voice is heard. You’ll work closely with senior leadership and cloud experts, shaping meaningful projects and driving innovation.
By joining us, you’ll accelerate your personal and professional development through hands-on experience with cutting-edge cloud solutions. You’ll learn directly from experts while contributing to some of the UK’s most ambitious cloud programmes, gaining exposure and influence you wouldn’t find in a larger consultancy.
This is a graduate engineering role for people who want to build a career in AI, data, and cloud. You will join as an Associate Engineer, working on live problems from the start and developing towards SFIA Level 3 across core engineering skills within your first year. SFIA is the Skills Framework for the Information Age, the industry standard we use to measure engineering capability.
You will start alongside a graduate entry cohort and share the same in-person onboarding: our Welcome to and Consulting Skills sessions. From day one you build your network and your consulting craft with peers going through the same experience. Your development is structured around real delivery, mentoring, and company-sponsored certifications.
You will not be left to figure it out alone. You will have several lines of support working together.
A line manager who owns your day-to-day work and your development.
A dedicated mentor for pastoral support, separate from your line manager, so you always have someone in your corner.
An executive project sponsor (CCO, CRO, CPO, or COO) who oversees the scope and quality of your first project.
A cohort you onboard alongside, including our Level 6 apprentices, so you have peers from the start.
A funded route to certification for both AWS and Anthropic industry standard qualifications ensuring your career gets off on the right track.
Degree: a strong degree (preferably 2:1 or above, or a Master’s) in Data Science, Computer Science, or a closely related discipline.
Aptitude: solid programming ability, ideally in Python, and a real interest in AI, data, and cloud engineering.
Motivation: the drive to build a professional engineering career and the discipline to develop quickly on live work.
Behaviours: clear, honest communication, a collaborative attitude, and the willingness to ask for help and act on feedback.
Security clearance: you must be eligible for, and willing to undergo, Developed Vetting (DV). We run the checks when you join. DV carries UK nationality and residency requirements, so you will need to meet those to be considered.
Hands-on experience building with LLMs or AI agent frameworks, even from study or personal projects.
Exposure to Python, a cloud platform (AWS, Azure, or GCP), Docker, or Linux.
Evidence that you finish what you start: a project, a dissertation, or a side interest pursued to a good standard.
An interest in how AI is used responsibly in settings where you cannot take outputs at face value.