Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Back End Developer

Aquent
Greater London
11 months ago
Applications closed

Related Jobs

View all jobs

C++/Python Developer (Machine Learning)

Data Scientist

Senior Machine Learning Engineer, Data for Embodied AI

Machine Learning Engineer - Autonomy

Machine Learning Engineer, Controllable GAIA

Senior Machine Learning Engineer, Scaling World Models

Job Title:Back End Engineer

Client Location:London(Hybrid)

Starting:Asap

Pay Rate:£285 per day(PAYE Inside IR35)

Duration:9 months


Regional Flexibility:

  • Goal of this project is to set up AWS infrastructure.
  • Work with internal teams to develop new code, edit existing code, build metrics and back end services, drive project from end to end.
  • For all services in scope, a list of similar tasks to be executed. The work includes migration to JDK17, automation of AWS infrastructure creation, removing internal and external dependencies to non-supported services, and demonstrating success by spinning up the services in the new region and passing integration and non-regression tests. The migration of data is not in scope.


Deliverables

For every service, we consider the task accomplished if all of the following acceptance criteria are met.

1. Service is migrated to Java Development Kit (JDK) 17 and AWS 2.0 SDK.

2. Service is optimized for AWS Graviton (building locally for ARM).

3. AWS infrastructure creation is fully automated through CDK (Cloud Development Kit). Contractors are not expect (at least

initially) to develop net-new CDK code, but rather extend existing ones.

4. AWS services not available in the target region are replaced by alternative AWS services

5. Sentry (internal single-sign-on technology on deprecation path) is not used anymore

6. Load balancers are migrated from NetScaler to Tardigrade (technologies based on AWS)

7. Service is spun up in AWS Zaragoza Region and all pipeline tests are executed and pass.


Skills

Candidates are expected to have 2 years of experience in 4 out of the 5 following domains.

 Java Backend Development

 Infrastructure Automation (CloudFormation, CDK)

 AWS

 Networking

 DevOps Experience.


Client Description:

Our Client is a FTSE 100, multinational technology company no longer known for just one thing. Their areas of expertise include e-commerce, cloud computing, digital streaming, artificial intelligence, original entertainment… the list goes on. Despite being primarily digital, their aim is to be the most customer-centric company in the world.


Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.