Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Python Developer - AI & LLM

iO Associates
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

C++/Python Developer (Machine Learning)

Staff Machine Learning Engineer (Competitive + Equity) at VC-backed AI logistics platform

Data Scientist Python Software - London

Computer Vision Tech Lead

Data Engineer

Data Engineer

Job Title: Lead Developer - HealthTech (LLMs, Python, Generative AI)
Location:Belfast, hybrid
Type:Full-time

iO Associates have partnered with a Tech for Good Start-Up working on an application that will have a positive impact across multiple industries. The app is already in use and adding value to thousands of users, and this additional round of funding has allowed for a team to be built to take the app to the next level.

The business have developed a number of LLMs and are using generative AI to bring together large health data sets to produce something to allow individuals to hit their peak performance. You will be working on further developing software, integrations and Large Language models to harness tech for good.


Role Overview:As the Lead Developer, you will be responsible for designing, developing, and deploying a state-of-the-art health application utilizing Large Language Models (LLMs), Python, and Generative AI. You will work closely with the product manager, CTO, and other developers to create a seamless and intuitive user experience that addresses real-world challenges.


Key Responsibilities:

Lead the design and development of the app. Implement and optimize LLMs and generative AI algorithms to deliver personalized health insights and recommendations. Collaborate to define and prioritize features and enhancements. Mentor and guide junior developers, fostering a culture of continuous learning and innovation. Stay up-to-date with the latest advancements in AI, machine learning, and health tech.


Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development, with a strong focus on Python. Proven expertise in working with LLMs and at least a keen interest Generative AI. Demonstrated ability to lead and mentor a development team. Excellent problem-solving skills and a passion for innovation.


Join the team in their mission to transform the health sector with innovative technology. Apply today and be part of a team that's making a difference!

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.