Role Description AssetWatch has a unique opportunity to scale how LLMs, Agents, machine learning, and data science improve customer outcomes, internal productivity, product differentiation, and operational leverage. The Head of AI manages AI workstreams across the company, turns scattered AI experiments into governed and measurable operating capability, and leads the Data Science function. This is AssetWatch's central strategic leadership role, requiring direct, hands-on involvement. The leader must stay close to the field, understand modern AI and data science deeply enough to scope work directly, and help the company adapt as the technology and vendor ecosystem evolves. Reporting to the CEO, the role demands a blend of strategic vision, technical fluency, ethical leadership, and change management skills. What You Will Do - Define and Execute AI Strategy - Partner with executive leadership to define AssetWatch's AI-native vision, operating model, and continue to build our roadmap heading into 2027 and beyond. - Identify where AI can create competitive advantage, drive efficiency, and unlock new customer value, which open new revenue streams. - Keep the strategy current as AI capabilities, tooling, and vendor constraints change. - Lead the AI and Data Science Organization - Build, lead, and develop the team across Machine Learning Engineering, Machine Learning, and AI Engineering. - Recruit, develop, and retain high-performing data scientists, ML engineers, and AI engineers. - Establish clear ROI-based goals, accountability, technical standards, and leadership coverage as the team scales. - Run Intake, Prioritization, and Governance - Clarify incoming requests by outcome, owner, data dependency, business impact, and build-vs-buy path. - Establish guardrails for AI tools, agents, model usage, data access, and acceptable use without slowing down adoption. - Set AI Strategy and OKRs in partnership with senior leadership and translate them into measurable team goals with proven ROI. - Advance ML, MLOps, and Applied AI - Guide development of physics-based models that improve AssetWatch's reliability intelligence, including anomaly detection, ranking, explainability, and alert quality. - Ensure production ML systems are monitored, repeatable, and operationally reliable. - Drive AI engineering work including agentic workflows, internal productivity tools, and customer-facing experiences. - Partner Across the Business - Work with Product and Engineering to turn AI opportunities into scoped bets with clear owners and delivery paths. - Partner with GTM, Customer Success, and Operations to identify high-leverage AI opportunities and improve field workflows. - Collaborate with HR, finance, supply chain, and customer support to implement AI-driven automation. - Measure Impact and Communicate Up - Define how AI impact is measured and connect AI investments to customer outcomes, efficiency, and revenue. - Maintain a clear narrative for the CEO, board, and cross-functional leaders on priorities, progress, and tradeoffs. - Evaluate vendors and tooling; recommend when to build, buy, or combine approaches. Qualifications - 10 or more years leading AI, machine learning, data science, or adjacent data or software technical teams. - Proven track record setting technological strategy in a fast-moving environment and delivering large-scale initiatives. - Experience managing cross-functional teams and partnering with senior executive stakeholders. Requirements - Hands-on fluency with modern AI and data science, enough to scope work, evaluate quality, and challenge assumptions. - Working knowledge of production ML, MLOps, evaluation, governance, and AI systems lifecycle. - Familiarity with state-of-the-art approaches including large language models, agentic architecture, and machine learning. Education - Bachelor's degree in computer science, data science, AI, engineering, or a related field required. - Advanced degree (MSc, PhD, or MBA with technology focus) preferred. NICE TO HAVE - Background in industrial technology, predictive maintenance, manufacturing, IoT, or condition monitoring. - Experience with time-series data, signal processing, anomaly detection, or sensor-driven products. - Experience with AWS, MLOps tooling, cloud data platforms, and enterprise SaaS integrations. Benefits - Competitive compensation package including stock options. - Flexible work schedule. - Comprehensive benefits including retirement plan match. - Opportunity to make a real impact every day. - Work with a dynamic and growing team. - Unlimited PTO.

Role Description Our client is looking to recruit an Artificial Intelligence Productivity Assistant to support employees with the adoption and implementation of AI tools within the business. - Assist internal users with the practical use of approved AI tools for productivity, research, summarisation, drafting, analysis, and workflow support. - Provide basic training, guidance, and hands-on support to help users write better prompts and use AI tools more effectively. - Help users identify appropriate AI use cases in their daily work. - Create simple guides, templates, prompt examples, and internal knowledge articles for common AI tasks. - Support the rollout of AI tools, features, and productivity initiatives across the business. Qualifications - Tertiary Qualification in a Business-Commercial or IT-related field. - This is an entry-level role designed for someone with strong curiosity, communication skills, and an interest in AI, automation, integrations, and business process improvement. Requirements - The role will initially focus on helping users understand how to use AI tools safely and practically, while gradually developing into a more technical role within the Integrations and Automation department. Benefits - Market-related salary, in line with the Graduate-level nature of the role.

Role Description BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence. - Lead the AI team in designing, developing, and implementing AI models and systems. - Collaborate with stakeholders to identify AI opportunities that drive business value. - Guide the team to effectively use machine learning frameworks and tools. - Oversee project lifecycle from research and prototyping to production deployment. - Maintain knowledge of latest trends and advancements in AI and machine learning. - Establish best practices and foster a culture of continuous improvement and innovation. Qualifications - 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering. - 3+ years of experience in a technical leadership or mentoring role. - Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow). - Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes). - Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph. - Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision. - Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production. - Experience with building and deploying Autonomous AI Agents (e.g., using Langchain, langgraph, Crew ai). - Background in edge deployment for Computer Vision models (TensorRT, ONNX). Benefits - Paid Time Off - Performance Bonus - Training & Development

Requisition Number: 2365521 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Develop novel AI approaches for healthcare using both structured and unstructured data - Build and test deep learning and traditional ML models in distributed computing environments - Design and plan experiments, conduct statistical analysis and create data visualizations - Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs - Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards - Develop code and model documentation, patents and publications in scientific conferences and journals - Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions - Stay up to date with latest technologies and literature You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - MS in computer science or related quantitative field and 5+ years of industry/academic experience in AI/ML or a related field OR a PhD and 2+ years of experience - 5+ years of AI/ML experience - 5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow Preferred Qualifications: - Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification - Experience with distributed computing approaches such as Spark - Experience with Snowflake and other relational databases - Experience working on collaborative software projects using GitHub - Proven solid technical communication skills *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #optumaiscience UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.