Find machine learning engineer Jobs in sandyford, d

Senior Software Engineer - (Clinical AI) - Ireland
Heidi —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Work from home
1d
Director, Data Science & Agentic AI
Novartis —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- English
- Research
Senior Software Engineer - Pricing Analytics
Bloomberg —Dublin, County Dublin
- Computer Science
- Java
- No degree
Sr Data Engineer
Mifinity —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- SQL
- AWS
- Free parking
Quick apply
Staff Software Engineer, Ruby on Rails
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
Cloud Support Consultant
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- DevOps
Quick apply
Senior Software Engineer, Java
Telnyx —Dublin, County Dublin
- Remote
- Computer Science
- Java
- No degree
Quick apply
Senior Business Analyst
American International Group UK Limited, Ireland Branch & AIG Europe S.A. (Ireland Branch) —DUBLIN 1, County Dublin
- Full-time
- System design
- SQL
- Bachelor's degree
Quick apply
5d
Staff Insights Applications Engineer
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
Senior Product Engineer - AI Platform
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Python
- Annual leave
- Work from home
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
AI & Data - Agentic AI Engineer - Manager
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- System design
- Gym membership
Senior Product Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- JavaScript
- No degree
- Annual leave
- Work from home
Senior Staff Customer Engineer – Automotive AI
Sonatus —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
Quick apply
Engineering and Core Technology Manager, Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Graduate Opportunity - Consultant in GenIA (Located in San Francisco Office)
Sia —Dublin, County Dublin
- Full-time
- Engineering
- English
- Master's degree
- Life insurance
Quick apply
ASIC Digital Design Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Principal Engineer, Grid Insights Lead
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
2d
Senior Azure DevOps Engineer (MLOps)
Version 1 —Dublin, County Dublin
- €75,000–€95,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
- Employee assistance program
- Employee discount
Quick apply

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Senior Software Engineer - (Clinical AI) - Ireland

Heidi -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Benefits

Work from home

Qualifications

CI/CD
Law
React
Google Cloud Platform
Master's degree
AWS
AI
TypeScript
Python

Full job description

Who is Heidi?

Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.

We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.

Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.

Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.

We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?

The Role

Working closely with the Product Lead, you will be an Engineer who operates at the intersection of core product development and clinical application.

This role requires formal medical training and real clinical experience. Your clinical background will directly inform how we design, evaluate, and ship AI features that support real-world care delivery. Experience working on clinical AI products is highly valued, as you’ll be shaping systems that must perform safely in production environments.

What you’ll do:

Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows.
Operationalise Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments.
Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behaviour, prompting strategies, and audio handling.
Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimising latency, so clinicians have a seamless conversational experience.
Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters.

What we will look for:

Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction.
Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature.
Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer.
Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently.
Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild.
Medical degree with clinical experience, and ideally experience working on clinical AI products

What do we believe in?

Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.

Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.
Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.
Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.
Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.

Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.

Why you should Join Heidi

Real product momentum. We're not trying to generate interest, we're channeling it.
Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create.
Unmatched impact. Play a pivotal role at a critical growth moment - working on a product that delivers tangible, real-world value to clinicians and patients every day.
Work alongside world-class talent. Join a team of operators and builders who've scaled unicorns.
Your health, covered. Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend.
Global parental leave. 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility.
Fertility support. £7,000 one-off payment, eligibility applies.
Learning & development. £700 per year for courses, books, memberships, conferences and more.
Home office budget. £500 one-off to set up a workspace you actually want to work in.
Recharge days after major milestones and busy periods so you can reset and come back strong.
Work from anywhere for up to 4 weeks per year, wherever the world takes you.
Clinical leave. 10 days per year for eligible clinical roles to maintain accreditation and requirements.
Flexibility that works. A hybrid environment, with 3 days in the office.

Heidi’s commitment to Diversity, Equity and Inclusion

Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all.

Apply Now

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machine learning engineer jobs in sandyford, d

Senior Software Engineer - (Clinical AI) - Ireland

Director, Data Science & Agentic AI

Senior Software Engineer - Pricing Analytics

Sr Data Engineer

Staff Software Engineer, Ruby on Rails

Cloud Support Consultant

Senior Software Engineer, Java

Senior Business Analyst

Staff Insights Applications Engineer

Senior Product Engineer - AI Platform

Data Analytics and AI Team Lead

AI & Data - Agentic AI Engineer - Manager

Senior Product Engineer

Senior Staff Customer Engineer – Automotive AI

Engineering and Core Technology Manager, Security

Graduate Opportunity - Consultant in GenIA (Located in San Francisco Office)

ASIC Digital Design Architect

Principal Data Scientist

Principal Engineer, Grid Insights Lead

Senior Azure DevOps Engineer (MLOps)

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