National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Staff Platform Engineer Job in Greater London

Salt
Greater London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (GenAI)

Machine Learning Engineer

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist...

CTPHQ - Data Engineer - Grade H/J - Data Science Unit - 1892378, - Ref:1892378 Before you apply[...]

Staff Platform Software Engineer

My client are a leading online retailer. We are seeking several Staff Level Platform / Software Engineers for them

What is the Opportunity

This opportunity lies in a key strategic area to lead digital innovation and improve upon personalisation of campaigns for customers, which drives growth across all digital channels using customer data, AI (Artificial Intelligence) and ML capabilities and journey orchestrators. You will be part of one of the Product Engineering teams that focuses on the following:

* Build and drive tech strategy to scale platforms to personalise customer journeys across various channels

* Enabling collaboration and ML Ops practices in designing data pipelines with Data Science team members.

* Scaling Client and Server-side experimentation using A/B testing platforms across digital channels experience.

* Driving and automating campaigns through campaign management tools and personalizing user journeys.

You should apply if you

Design and drive important, high-visibility initiatives that boost the platform’s resilience and scalability across multiple teams. Lead and guide others through architectural decisions for new and existing distributed, high-throughput, real-time systems. Spot potential system risks and trends in reliability and produce solutions to tackle them. Solve problems collaboratively, communicating decisions through tech talks and white-boarding sessions. Coach, mentor and develop less experienced engineers. Promote a high-performance culture, technical excellence, values, trust, collaboration, and improved ways of working within the team and the wider software engineering community Excellent communication skills, both written and spoken and able to adjust to different audiences. Ability to provide constructive feedback to team members. Cares about the business and the bigger picture strategy for the Product group.

What you need to succeed

Proficient experience building highly scalable service applications with Python and experience in one of Typescript, Java, Kotlin. Experience with DevSecOps: you build it, secure it and run it Expertise with microservice architectures and a DDD (Domain Driven Design) mindset Experience with containerisation tooling such as Kubernetes and Docker Advocate and experience in Continuous Integration and Continuous Delivery Solid understanding of event-driven architecture and technology. A strong understanding of cloud infrastructure platforms and services. Experience with monitoring and observability platforms such as New Relic and Dynatrace Should have worked in a dynamic and agile environment

Package

Hybrid Working Industry-leading pension of up to 12% contribution Bonus up to 40% 20% discount Learning days once a month, Tech/Ed days once a quarter and Hackathon every other quarter A range of well-being support (including free counselling and a virtual GP for you and your immediate family) 25% off gym memberships, access to online fitness classes and discounts for complementary health services, such as nutrition and lifestyle coaching
National AI Awards 2025

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.