Applied 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, an AI-driven startup impacting the digital media sector, are hiring a Applied AI Engineer to join their team in Brooklyn, New York. The successful candidate will work directly with the founders to define how creative professionals interact with AI in the generative era, from designing, implementing and scaling the core agentic workflows that enable seamless orchestration of text, image, and video models.


Responsibilities

• Design and build the organization's intelligence layer, agentic systems that power reliable, intuitive and multi-step creative workflows.

• Seamlessly integrate text, image and video models into experiences that creatives trust and enjoy.

• Collaborate closely with product, design and infrastructure teams to develop agentic features that let creatives bring ideas to life while keeping full control.

• Ensure robustness and reliability through evaluation frameworks, memory and retrieval strategies, and sophisticated orchestration across models, APIs and tools.

Skillset

• Minimum of 3 years of engineering experience.

• Hands-on experience building agentic systems (multi-step pipelines, memory-enabled assistants or tool-using agents).

• Strong skills in system evaluation, regression testing and human-in-the-loop validation.

• Expertise in memory and retrieval strategies (vector databases, embeddings, context management).

• Experience orchestrating models, APIs and tools (handling retries, fallbacks and edge cases).

• Comfort reasoning about multi-modal workflows and integrating them into user-facing products.

• Ability to work across the full stack and collaborate with product and design teams.

• A Product-minded mindset, such as valuing usability and creative control as much as technical innovation.

• Experience with creative tools, generative models or node-based interfaces is a bonus.

Benefits

• Salary: $150k - $200k DOE.

• Equity.

• Comprehensive health and dental coverage.

• Gym membership.

Our client, a global data and AI organisation, are hiring a Senior AI Engineer to join their growing team in Dublin. The successful candidate will design, build, and ship production AI systems within a fast-moving AI innovation team alongside data scientists, backend engineers, and delivery leads.


Responsibilities

• Build production-grade AI agent systems end to end, from design to deployment to ongoing support.

• Design agentic workflows with checkpoints, approvals, safe retries and human-in-the-loop steps.

• Architect agents that plan, use tools, manage memory and escalate when needed.

• Build retrieval systems using vector search, reranking, and context assembly for grounded responses.

• Create evaluation frameworks: offline test sets, regression gates, and live monitoring.

• Instrument full observability across agent runs, including cost, latency, and failure tracking.

• Build backend services in Python (FastAPI), working with Postgres, event-driven patterns and production APIs.

• Deploy using Docker, Kubernetes and CI/CD pipelines.

• Collaborate across teams to turn business problems into working AI solutions.

Skillset

• Minimum of 4 years in software engineering, applied ML or applied AI.

• Strong Python skills with solid engineering practices (testing, code review, version control).

• Experience building LLM-powered applications in production.

• Hands-on experience with agentic frameworks (e.g. LangChain, LangGraph, CrewAI, LlamaIndex).

• Experience with vector databases and retrieval systems (e.g. Pinecone, Weaviate, FAISS, Chroma).

• Understanding of agent patterns e.g. ReAct, multi-agent systems, tool use, planning.

• Cloud deployment experience on AWS, Azure or GCP.

• Production mindset with experience in monitoring, governance, automated testing, operational readiness.

• Familiarity with agentic coding tools (Cursor, Claude Code, GitHub Copilot).

Benefits

• Salary: €93k - €110k + Bonus.

• Private healthcare.

• Life assurance and income protection.

• Strong pension.

Interested?

Reach out to kyle@alldus.com to find out more.