Special Projects Manager - Software Platform

Scarlet
London
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Engineer

Market Risk Data Scientist / Python Developer - VP

DataOps Engineer-1

Data Scientist - Pricing

Machine Learning Specialist - Computer Vision

Our Philosophy Hastening the transition to universally accessible and affordable healthcare requires a specialised and deeply ambitious approach, to ensure the leading innovators, those pulling forward the future of healthcare, can safely get the best versions of life-changing technology to the people who need it. About this role: This is a role suited to an Operations Manager who enjoys rolling up their sleeves and getting involved in Data Platforms, a Software Engineer who wants to branch out beyond problems in lines of code, or a Data Analyst looking to branch out into Operations work Here at Scarlet, we are the only Notified Body (NB) exclusively designated to perform Conformity Assessments for Software as a Medical Device (SaMD) and Artificial Intelligence as a Medical Device (AIaMD) across the UK and Europe. Where we differ from the more traditional NB is in our internal operations - specifically, our proprietary platform that ingests machine-readable data; leading to a vastly more efficient process of assessing Medical Devices. As a Technical Operations Manager at Scarlet, you will be running point on refining and optimising this platform, which is used by Regulators and our Team. Optimising the platform is a broad area, and the scope of this work means you will be working cross-functionally with Engineers, Regulatory Specialists, Product Owners, and Clinicians. Whilst we have a clear set of problems for you to fix over the first few months in the role, after that you will be responsible for identifying and solving your own problems. If you’re passionate about building the next generation of digital health and are enthused about the prospect of solving technologically complex problems, then this role is for you. Your responsibilities: Commit to becoming the expert on Scarlet’s platform Decompose regulations, standards and guidance documents into efficient, machine-readable processes Run & optimise the aforementioned processes Collaborate with product and engineering to build upon Scarlet's proprietary platform Identify opportunities to harness compliance data to empower broader business functions The key skills: 3 years solving complex software problems Some experience with coding, either formally or through passion projects A thoughtful problem solver who is committed to working from first-principles Excellent written & verbal communication Desirable skills: Experience optimising processes and products within a regulated environment Experience working on SaaS or Platform products An interest or passion for healthtech Someone who also pushes themselves outside of their work to grow The Interview Process At Scarlet, we have built our interview processes to ensure you get to understand the role and Scarlet’s culture fully and to allow us to understand your skills, expertise, and who you are. Here is what to expect: Recruiter Screen with Talent Team - 30 mins Problem Solving Case Interview - 45 mins Project Management Interview - 45 mins Meet the Founders - 2x30 mins Offer Referencing HIRED If you are interested in Scarlet's mission but haven't found a role that aligns with your expertise, please share your CV and a brief introduction to talentscarlet.cc We're constantly building and tackling new problems as we strive to enable the latest medical software to reach patients worldwide, so we will post new roles frequently.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.