AI/ML Engineer Jobs

Our client, an innovative AI and Data company, is hiring a Head of Research to join the team in New York. The successful candidate will transform unique consumer-generated data streams into a gold standard for AI training and evaluation by shaping the company's research strategy, collaborating directly with leading AI labs, and establishing the organization as a recognised authority in audio data research and evaluation science.


Responsibilities

• Define and drive the company's AI research strategy, focusing on data evaluation, AI oversight and generative AI innovation.

• Develop strategic partnerships with leading AI research labs, academic institutions and industry experts.

• Build AI-assisted evaluation frameworks to measure, validate, and enhance audio and multimodal datasets.

• Translate emerging AI research advancements into scalable data solutions and production-ready capabilities.

• Position the organization as a recognized leader in audio AI, speech intelligence and AI evaluation science.

• Design and execute rigorous machine learning experiments, benchmarks and evaluation methodologies to support next-generation AI models.

• Represent the company across the global AI research ecosystem, building relationships with researchers, partners and technical communities.

• Collaborate with product and engineering teams to define AI data strategies, research priorities and innovation roadmaps.

Skillset

• Proven track record of impactful AI/ML research focused on data evaluation, generative AI or AI oversight.

• Deep expertise in audio, speech or multimodal AI systems, with strong understanding of emerging research trends.

• Experience working with frontier AI models, training pipelines and evaluation frameworks.

• Strong knowledge of AI evaluation methodologies, benchmarking and AI-assisted evaluation approaches.

• Experience designing and executing rigorous machine learning experiments using Python and PyTorch.

• Ability to translate complex AI research concepts into scalable, production-ready data solutions.

• Strong understanding of data quality, dataset development and evaluation strategies for AI model improvement.

• Proven ability to build relationships with leading AI researchers, technical partners and industry stakeholders.

• Strong communication skills with the ability to represent research concepts and technical insights to diverse audiences.

• Founder mindset with the ability to operate independently, drive innovation and deliver impact in a fast-moving environment.

Benefits

• Salary: $250k - $300k

• Comprehensive benefits package.

Our client, an innovative AI and Data company, is hiring a Data Operations Lead to join the team in New York. The successful candidate will own the end-to-end data lifecycle, shaping data operations, developing scalable processes, managing external partners and ensuring the highest standards of dataset quality to deliver high-quality, production-ready datasets for leading AI research teams.


Responsibilities

• Own the end-to-end delivery of high-quality AI training datasets, from raw audio data collection through to production-ready outputs.

• Collaborate with AI research teams and external partners to define, manage and deliver dataset requirements.

• Support the development and execution of commercial data agreements, ensuring successful delivery against customer expectations.

• Design, build and optimize operational workflows across transcription, annotation, quality assurance and dataset production.

• Develop robust data quality frameworks, acceptance criteria and validation processes to maintain delivery standards.

• Lead outsourced and international data operations teams, ensuring quality, efficiency and timely delivery.

• Partner with engineering teams to enhance data pipelines, tooling and operational scalability.

• Identify and implement improvements to increase dataset quality, reliability and operational efficiency.

• Serve as a key liaison between customers, internal stakeholders, engineering teams and external vendors.

• Contribute to the company's data strategy and help scale data operations as the organization grows.

Skillset

• Minimum of 5 years of experience building and scaling data operations, data pipelines or AI/ML data workflows.

• Proven experience working with audio, speech or multimodal datasets within AI or machine learning environments.

• Strong track record managing external data partnerships, dataset delivery and AI training data programs.

• Experience leading global or outsourced teams focused on data annotation, transcription and quality assurance.

• Strong understanding of data quality frameworks, validation processes and operational performance metrics.

• Technical proficiency across data pipelines, cloud infrastructure and AI/ML workflows.

• Knowledge of digital audio fundamentals, including sample rates, voice activity detection (VAD) and audio processing formats.

• Experience developing or managing AI training datasets for applications such as ASR, TTS, speaker identification or conversational AI.

• Familiarity with audio processing and data tools such as Librosa, FFmpeg, SoX, torchaudio, and cloud platforms including AWS, GCP or Azure.

• Entrepreneurial mindset with the ability to thrive in a fast-paced environment, take ownership and make decisions with limited information.

Benefits

• Salary: $180k - $220k

• Comprehensive benefits package.

Our client, an AI-driven healthcare company focused on personalizing patient care, is hiring a Member of Technical Staff to join their team remotely. The successful candidate will help build and scale the AI and data systems powering next-generation primary care solutions, working closely with the core platform from day one while helping shape both the technical architecture and overall product direction.


Responsibilities

• Build and optimize AI agent workflows capable of complex reasoning, tool use and decision-making.

• Design guardrails, fallback mechanisms and escalation pathways to ensure safe patient-facing AI experiences.

• Develop and launch AI-powered product features from concept through to production.

• Improve retrieval systems to deliver accurate, traceable and explainable medical information.

• Enhance search quality, citation accuracy and data lineage across clinical knowledge systems.

• Rebuild and streamline data pipelines to improve reliability, integrity and freshness of healthcare data.

• Develop low-latency voice AI systems for clinical intake, triage and patient follow-up interactions.

• Build monitoring, analytics and observability systems to track AI performance, reliability and production health.

• Fine-tune foundation and multimodal models using clinical datasets to improve safety, accuracy and user experience.

• Create robust evaluation and training frameworks, including automated testing and human-in-the-loop feedback systems.

Skillset

• Strong software engineering skills with a focus on Python development.

• Proven experience designing and deploying production-grade AI/ML systems.

• Solid understanding of PostgreSQL, including JSONB structures and vector-based search capabilities.

• Experience working with AWS and distributed cloud architecture.

• Practical experience integrating LLM APIs and delivering AI-driven product features.

• Familiarity with frameworks and tooling such as PyTorch, Hugging Face, vLLM, Axolotl or similar technologies.

• Experience developing AI agents, autonomous workflows or RAG-based systems.

• Exposure to voice AI, multimodal applications or medical imaging technologies is a plus.

• Comfortable operating across infrastructure, backend engineering and product-focused workflows.

• Strong analytical, troubleshooting and systems-thinking skills.

Benefits

• Salary: $220k - $250k.

• Equity.

Our client, a global AI and Data organisation, are hiring a Senior Full Stack Engineer to join their team in Dublin. The successful candidate will design, develop and maintain full-stack applications, including AI agent solutions, APIs and microservices, as well as implement real-time monitoring systems and deliver enterprise-grade solutions.


Responsibilities

• Design, build and maintain full-stack applications using Python (backend) and React.js (frontend).
• Contribute to technical direction and strategy across all development phases.
• Develop AI agent solutions, including orchestration, workflow management and decision-making systems.
• Implement APIs and microservices to support AI agent communications and data exchange.
• Create real-time features for agent monitoring, logging and performance tracking.
• Troubleshoot and resolve technical issues across the full stack.
• Write clean, secure and maintainable code.
• Uphold software quality standards and mentor team members.
• Operate in an agile/DevOps environment with CI/CD pipelines.
• Explore and leverage AI tools to enhance innovation, efficiency and quality across the software development lifecycle.

Skillset

• Bachelor's or Master's degree in Engineering or similar.
• Minimum 5 years of experience in application development and support.
• Proficient in Python with experience in frameworks such as FastAPI, Django or Flask.
• Advanced React.js skills, including hooks, Redux/Context API and TypeScript/JavaScript.
• Experience designing RESTful APIs and working with AI/ML libraries (e.g. LangChain, OpenAI API, Bedrock).
• Familiarity with cloud platforms (AWS, Azure, GCP), containerisation (Docker, Kubernetes) and infrastructure-as-code (Terraform/CDK).
• Strong grasp of algorithms, data structures and design patterns.
• Hands-on experience with CI/CD pipelines and automation.
• Excellent communication and collaboration skills.

Benefits

• Salary: €90k - €110k.

• Generous bonus.

• Private healthcare and Life assurance.

• Pension scheme.

• Flexible hybrid working model.

Interested? Contact kylec@alldus.com to learn more.


**Please Note** Applicants must have the right to work in the Republic of Ireland. Sponsorship is not offered by our client.

Our client, a growing Digital Transformation Consulting organisation, is hiring a Full Stack Engineer to join the team in Dublin, Ireland. The successful candidate will play a pivotal role in shaping and delivering modern applications, integrating AI-driven agents and enabling scalable cloud deployments within a fast-paced, innovation-led environment.


Responsibilities

• Design, develop and maintain full stack applications using Python and React.js.

• Build and integrate AI-powered features, including agent workflows and decision-making logic.

• Design and deliver RESTful APIs and microservices.

• Implement real-time monitoring, logging and performance tracking solutions.

• Identify, troubleshoot and resolve issues across the full stack.

• Work closely with product, design and engineering teams to deliver high-quality solutions.

• Write clean, secure and maintainable code in line with best practices.

• Contribute to Agile and DevOps processes, including CI/CD pipelines.

• Evaluate and adopt AI tools to enhance development efficiency.

Skillset

• Bachelor's degree in engineering, computer science or similar.

• At least 3 years of proven experience in software development and application support.

• Strong expertise in Python, with experience in frameworks such as FastAPI, Django or Flask.

• Advanced proficiency in React.js, including hooks, state management and modern JavaScript/TypeScript.

• Demonstrated experience designing and building RESTful APIs.

• Practical experience working with AI/ML tools (e.g. LangChain, OpenAI API, Bedrock).

• Hands-on experience with Docker, Kubernetes and containerised environments.

• Experience using AWS or a similar cloud platform.

• Solid understanding of algorithms, design patterns and core computer science principles.

• Strong communication skills with the ability to collaborate effectively across teams.