Unity Talent Solutions
Software Engineer

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Software Engineer
Software Engineer
(Remote with occasional travel to London)
About the Role
Our client is a venture-backed AI medtech spinout with academic origins and recent pre-seed investment. They’re developing software that analyses standard 12-lead ECGs to detect diseases before symptoms appear. Their AI models have been validated across four continents and are progressing through FDA 510(k) and EU MDR clearance.
This is an early engineering hire reporting to the Head of Software Engineering, working directly on the production platform that integrates AI models into clinical workflows.
You’ll take ownership of key technical areas across the full stack, including:
- Backend services & APIs
- Cloud infrastructure
- Clinician-facing web portals
- DevOps (CI/CD, IaC, monitoring, security)
No prior medical device experience is required; the team will train you on the regulatory aspects (IEC 62304, EU MDR, FDA compliance).
Responsibilities
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Build and maintain production-grade backend services (Python/Flask or Django) for clinical AI inference and data processing.
- Develop clinic-facing and admin web portals.
- Manage cloud infrastructure on Google Cloud Platform (GCP), including:
- CI/CD pipelines
- Infrastructure as Code (IaC)
- Monitoring & observability
- Ensure security controls align with medtech and healthcare data compliance (GDPR, UK Data Protection Act).
- Collaborate with the AI research team on model deployment, scaling, and performance.
- Design and implement ECG data ingestion pipelines, including:
- Integration with Electronic Health Records (EHRs)
- Support for HL7, FHIR, and DICOM standards.
- Contribute to regulatory documentation and adhere to the IEC 62304 software lifecycle process.
Requirements
Essential
- 2+ years of professional software engineering experience, with hands-on work in production environments.
- Strong expertise in Python (preferably with Flask or Django).
- Practical experience with Google Cloud Platform (GCP), including:
- Infrastructure orchestration
- Cloud-native development
- CI/CD pipelines.
- Solid understanding of:
- Testing (unit, integration), version control (Git), and code review best practices.
- A BSc/MSc in Computer Science or equivalent qualifications.


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Nice to Have
- Experience with React/TypeScript for frontend development.
- Familiarity with:
- Regulated medical software standards (IEC 62304, ISO 13485).
- Healthcare data interoperability (HL7, FHIR, DICOM).
- Knowledge of ML libraries (TensorFlow, PyTorch) or MLOps pipelines (e.g., Google Vertex AI, MLflow).
- Experience with:
- Cybersecurity principles (e.g., compliance frameworks for medical devices).
- Data protection laws (GDPR, UK Data Protection Act).
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