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

Apply Now

Sr. Network Planning Manager , EU SSD-Direct

Amazon UK Services Ltd.
London
1 year ago
Applications closed

Related Jobs

View all jobs

AI & Data Scientist

Sr. Machine Learning Engineer

Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

Sr. Data Scientist to contribute to the development of a Generative AI-powered segmentation tool

Legal Counsel – AI and Machine Learning

Are you excited about solving operational challenges, and want real responsibility and ownership for how your program performs? The Sub Same Day team in AMZL Org is looking for a Principal Planner with a proven record to own part of the delivery program for an exciting new customer offering with faster delivery times.

Please note that this role can be located in London or Luxembourg.

SSD-Direct is at the forefront of last mile and ultra-fast fulfillment/delivery innovation. As Principal Planner on the Delivery team, you’ll have the opportunity to sit at the apex where technology meets operations. We’re looking for a leader capable of diving deep into the operation, formulating key insights, and defining and driving projects to improve our network on behalf of our customers. You will be a key member of the team responsible for collaborating with many partner teams from operations to tech/engineering to find opportunities, and build short term and long term roadmaps to address. The ideal candidate for this role will be highly analytical, creative, motivated, have strong business judgment and a talent for problem solving in a high paced and ambiguous environment.

Responsibilities include:
- Ownership of E2E delivery performance focusing on quality and cost
- Strategic workstream to improve Same Day offering across EU and UK
- Working on out-of-the-box initiatives to holistically improve Speed in EU and UK.
- Responsibility for apprising multiple senior stakeholders (L10+) in the different forums about the program and latest updates.
- Leading Monthly reporting on KPIs and projects in the glidepath.

A successful candidate will demonstrate key skills which will be required:
- Strong analytical and quantitative skills to identify opportunities, estimate improvements, streamline and automate their work.
- Knowledge of operations, continuous improvement and structured problem solving (which may include Lean Six Sigma or Theory of Constraints).
- Ability to earn trust and influence a broad group of stakeholders worldwide to achieve program goals.
- Curiosity and ability to understand complex technical systems and processes.
- Forensic attention to detail.
- Ability to manage multiple, competing priorities simultaneously.
- Ability to work in a nascent, rapidly changing and ambiguous environment.
- Ability to clearly communicate in both written and spoken form to stakeholders at different seniority and in different functions.
- A willingness to roll up your sleeves and do whatever is necessary; the mentality of an owner.


BASIC QUALIFICATIONS

- Prior experience working cross functionally with tech and non-tech teams experience
- Prior program or project management experience
- prior experience of managing, analyzing and communicating results to senior leadership experience
- Bachelor's degree in Supply Chain, Data Science, or Engineering
- Experience implementing repeatable processes and driving automation or standardization
- Experience defining program requirements and using data and metrics to determine improvements


PREFERRED QUALIFICATIONS

PREFERRED QUALIFICATIONS
- Experience delivering projects within scope, time, budget and quality

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.

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.

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.

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.