AI/ML Engineer Jobs

Our client, a leading insurance company, are hiring a Senior Data Scientist to join their AI Studio Team in New York. The successful candidate will develop and implement production-ready AI/ML solutions that drive enterprise-wide decision-making, transforming complex data into actionable insights and scalable outcomes.


Responsibilities

• Lead data science initiatives and mentor junior team members.

• Manage projects end-to-end, from data exploration and design through to modelling and delivery.

• Conduct data wrangling, matching and ETL across a wide range of data sources.

• Develop and deploy high-performing predictive models using advanced machine learning and AI techniques.

• Collaborate with Data Engineering and MLOps teams to productionize solutions.

• Ensure data quality, integrity and robustness throughout both development and deployment.

• Apply innovative statistical and mathematical approaches to solve complex business challenges.

• Communicate insights effectively through clear data visualizations and presentations.

• Work closely with stakeholders to identify and deliver data-driven opportunities.

• Contribute to the development of best practices, tools and standards within the data science function.

Skillset

• PhD or Master's degree in Statistics, Computer Science, Engineering, Applied Mathematics or equivalent.

• At least 4 years of hands-on experience in machine learning development.

• A strong foundation in statistical modelling and data analysis.

• Experience with a range of machine learning techniques, including clustering, decision trees, boosting and neural networks.

• A proven track record in experimental design and execution.

• Expertise in data wrangling, including techniques such as fuzzy matching and regular expressions, as well as experience with distributed computing.

• Advanced programming skills in Python.

• A solid understanding of algorithms and machine learning model development.

• Excellent communication skills, with a strong attention to detail and well-developed problem-solving abilities.

• Experience mentoring or leading other data scientists.

Benefits

• Salary: $120k - $195k DOE.

• Comprehensive benefits package.

Our client, a leading insurance company, are hiring a Senior Data Scientist with skills in Agentic AI to join their Data & AI team in New York. The successful candidate will lead the development and deployment of agentic AI systems, large language models and intelligent automation solutions to enhance business operations and elevate customer experiences.


Responsibilities

• Design and implement agentic AI solutions to automate complex workflows, enhance decision-making, and improve both customer and employee experiences.

• Operationalise large language models (LLMs) and generative AI to process and interpret unstructured data, including contracts, claims, medical records and customer interactions.

• Develop autonomous agents and multi-step reasoning systems that integrate seamlessly with core business platforms.

• Collaborate with Data Engineering and AIOps teams to deliver scalable, production-ready AI solutions.

• Apply research in agentic AI, reinforcement learning and reasoning systems to practical use cases across underwriting, claims and risk assessment.

• Work closely with product, engineering and business stakeholders to define use cases and evaluate return on investment.

• Contribute to the Data Science Lab by developing reusable frameworks and promoting best practices.

• Mentor junior data scientists and support the standardisation of AI/ML tools, practices and frameworks.

Skillset

• PhD or Masters Degree in Statistics, Computer Science, Engineering, Applied Mathematics or similar.

• Minimum of 3 years of hands-on experience in AI/ML modelling and development.

• Strong grounding in probability and statistical methods.

• Proficient in Python, with experience using frameworks such as PyTorch, TensorFlow and LangGraph.

• Solid knowledge of machine learning algorithms, optimization techniques and statistical modelling approaches.

• Effective communicator with the ability to collaborate across both technical and business teams.

• Excellent analytical and problem-solving skills, with a high level of attention to detail.

• Proven experience mentoring others and contributing to technical leadership.

Benefits

• Salary: $120k - $195k DOE.

• Comprehensive benefits package.

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.

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.