Role Description The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader responsible for driving the development and execution of our machine learning and broader artificial intelligence initiatives. This individual will lead a team of machine learning engineers, AI engineers, and researchers to build and deploy cutting-edge ML models and AI solutions that create business value and enhance our products and services. The ideal candidate will have a strong technical background in machine learning and artificial intelligence, extensive leadership experience, and a proven track record of delivering impactful enterprise-grade AI solutions. This role requires working closely with business partners while understanding and working within the constraints of the business to maintain a competitive technological edge. - Lead and mentor a team of machine learning and AI engineers, fostering a culture of innovation, continuous learning, and excellence. - Define and execute the comprehensive ML/AI strategy and roadmap, aligning it with the company's overall business objectives and long-term vision. - Oversee the end-to-end development and deployment of machine learning and artificial intelligence models, from ideation and experimentation to production and monitoring. - Collaborate with product, engineering, data platform, and other cross-functional teams to identify new opportunities for leveraging traditional ML and advanced AI. - Stay up-to-date with the latest advancements in machine learning and AI (including Generative AI, Large Language Models, and computer vision), and drive the adoption of new technologies and best practices. - Establish and champion frameworks for responsible AI, ethics, data privacy, and compliance across all model deployments. - Communicate the complex value and business impact of machine learning and AI initiatives to senior leadership, C-suite executives, and other stakeholders. - Influence product and operational roadmaps with actionable data insights and active AI deployments. - Build a strategic learning roadmap based on data observations, strategic imperatives, and developed hypotheses, while managing robust data and feature pipelines. Qualifications - Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field. - 10+ years of experience in machine learning and AI, with a proven track record of building, scaling, and deploying production-level models. - 5+ years of experience leading and managing high-performing machine learning or AI engineering and research teams. - Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs). - Strong programming skills in Python and deep experience with ML/AI frameworks such as TensorFlow, PyTorch, or Hugging Face. - Excellent leadership, communication, and project management skills. - Demonstrated success in building and scaling ML/AI organizations from the ground up, including hiring, budgeting, and tool/vendor selection. - Proven ability to link ML and AI initiatives to P&L outcomes, with experience presenting comprehensive AI strategies to C-suite executives or Board members. - High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). Requirements - Writing, Talking/Hearing on the phone (Continually=67-100% of workday) - Remote/Home office (Continually=67-100% of the workday) - Occasionally, less than 25% travel

Role Description Supporting training department by performing work educating, testing, and coaching new hires to a specified account using curriculum and materials specialized to a particular account. - Conduct new hire training in a classroom setting - Conduct follow-up one-on-one training when necessary - Conduct refresher training sessions - Conduct certification sessions - Attend training meetings - Attend training/quality assurance meetings - Assist training department with any other necessary functions - Conducts phone time when not facilitating a class or assisting with other training duties. Scorecard performance will be monitored. Qualifications - Healthcare Experience Preferred Company Description At Alorica, we only do one thing – make lives better, one interaction at a time. We’re a global leader in customer service and experience, serving the world’s biggest brands with tens of thousands of employees in hundreds of locations around the globe. - Largest minority-owned CX provider - Delivering digital-first, people-centered experiences for some of the world's most respected brands - Helping businesses solve their toughest customer experience challenges for over 25 years - Top Place to Work, serious about creating an environment where people show up as their genuine selves

• Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers. • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production. • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value. • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

Role Description You'll play a key role by: - This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. - Leveraging your deep experience of developing and deploying advanced Machine Learning models to: - Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs. - Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. - Design machine learning solutions that scale globally. - The technical approaches you take to solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. - Justifying and demonstrating effectiveness along the way, ensuring the approach meets our business and customer needs. Qualifications - What we’re doing here at Monzo excites you! - You have a track record of deploying advanced Machine Learning models tackling real business problems with demonstrable impact, preferably in a fast moving tech company. - You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production. - You have a passion for sharing knowledge and raising the technical bar across the team. - You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. - Using advanced ML techniques to ensure Monzo’s customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you. - You have extensive experience writing production Python code and a strong command of SQL. - You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. - You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. - You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ambiguity. - You have strong communication skills and are able to explain complex technical concepts to non-technical stakeholders. - You want to be involved in building a product that you and the people you know use every day, with a product mindset that prioritises customer outcomes and data-informed decisions. - You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. - You’re adaptable, curious and enjoy learning new technologies and ideas. Requirements - Experience in supporting your team in shaping the ML strategy of your area. - Experience working with financial crime, operations and in regulated institutions. - Commercial experience writing critical production code and working with microservices. - Experience in evaluating ML models in live environments such as through A/B tests. Benefits - We’ll help you relocate to the UK. - We can sponsor your visa. - This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). - We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. - £1,000 learning budget each year to use on books, training courses and conferences. - We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. - Plus lots more!