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Software Engineer — Full Stack & Cloud

Technology
upLYFT
London, United Kingdom£40,000 - £55,000 /year3 weeks agoUntil 07/04/2026
On-site

Job description

Role: Software Engineer - Full Stack & Cloud Location: London, UK

How to apply: email support@uplyftwearables.com - we do not accept easy apply. About upLYFT upLYFT is building movement intelligence through wearable technology. We combine smart clothing, embedded sensing and software to help people understand how they move across performance, rehabilitation and health. The role

This is a core engineering hire. You'll own the full product stack — backend, mobile, web, cloud infrastructure, and ML deployment. This is not a narrow feature role. We need someone who is very strong in scalable backend software engineering, comfortable across full stack product development, and able to work closely with cloud services and machine learning deployment in production.

You should be the kind of engineer who can move from backend architecture, to APIs, to deployment pipelines, to mobile or web integration, and solve problems without waiting to be told what to do next.

This role is ideal for someone who likes pace, ownership and technical breadth, and who has shipped real products before. What you will do

Own and build core parts of the product stack across backend, cloud and application layers

Design and implement scalable backend systems, APIs and infrastructure

Work across web and mobile product surfaces, including integration with Android, iOS and web platforms

Support deployment and monitoring of machine learning systems in production

Build robust data flows, services and cloud architecture to support streaming and sensor-driven products

Improve reliability, observability, CI/CD and development velocity across the stack

Work closely with product, hardware and data teams to turn prototypes into production-ready systems

Solve problems quickly and pragmatically in a fast-moving startup environment What matters most in this role

Scalable backend software engineering

Cloud services and deployment

ML for scale and cloud development

Signal processing intuition and affinity for bioengineering What we are looking for

Strong Python for maintainable, production-grade code

Hands-on experience training and evaluating machine learning models, ideally on sequential or time series data

Familiarity with ML pipeline or workflow orchestration tools

Understanding of experiment tracking and model versioning practices

MLflow experience is a strong plus

Experience with cloud storage and compute

Working knowledge of deployment pipelines and CI/CD

Strong backend architecture and API design

Experience working across web platforms

Comfort working with mobile stacks, including Android and iOS integrations

Familiarity with Kotlin, Java and iOS development environments

Ability to operate across the product stack rather than staying in one layer only How we work

We want engineers who are comfortable owning problems, making decisions, and shipping fast without losing engineering quality. This role suits someone who thrives in ambiguity, likes building from first principles, and wants direct influence over the product and technical direction. You should be excited by the idea of working on hard technical problems across sensing, software, cloud and machine learning in one stack. Why join upLYFT

Work on genuinely hard products at the intersection of wearables, software and movement intelligence creating break through technology. Join a very fast-moving London startup with real technical ambition and product depth.

25 days paid holiday + bank holidays.

Backed to win – Supported by top UK & HK VCs who love big, audacious health-tech bets. Salary

£40,000-£55,000 + equity, in-person, London. How to apply

We do not accept easy apply. Please email support@uplyftwearables.com with the subject line “Software Engineer”. Please include a CV and a cover letter including relevant projections/products shipped.

Keywords
PythonMachine LearningCloud ServicesBackend ArchitectureAPI DesignCI/CDAndroidiOSKotlinJavaSignal ProcessingBioengineeringSoftware EngineeringFull StackCloud InfrastructureMachine Learning DeploymentBackend SystemsAPIsMobile IntegrationWeb DevelopmentData FlowsCloud ArchitectureExperiment TrackingModel VersioningMLflowAndroid DevelopmentiOS Development

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