Senior Machine Learning Engineer

Core Consultants, in synergy with its affiliates KnowledgeWave and Xander, has pioneered a unique approach to AI consulting and engineering. The companies are led by former leaders from KPMG and IBM to deliver measurable outcomes to clients. Founded by a team of engineers, scientists, and consultants, we create modular AI platforms using groundbreaking technology from our global ecosystem of pre-seed to Series A AI disrupters that deliver AI democratisation at scale. Our distinct value proposition is centred on building operational self-reliance creating a new benchmark for how consulting services are sourced and delivered. Core is committed to bringing together experts and emerging talent to collaborate in solving complex data engineering problems and innovating with GenAI. We have nurtured a community-focused delivery model, comprising of ecosystem of scientists, engineers, and subject matter experts to help deliver our mission to make AI simple. Role Overview: We are working with a dynamic European Services leader helping them build out their AI strategy and team. As a consequence we are looking for an ambitious driven passionate Senior Machine Learning Engineer to join their growing team. You will play a lead role designing, developing and deploying AI solutions on a product basis and work to further the progress of the AI and Advanced Analytics team. This includes setting direction and being responsible for Machine Learning projects, collaborating with other data areas, our partners and the wider business to transform AI prototypes into production and having responsibility for the management and improvement of deployed models and data pipelines. Key Results Areas You will be required to: Play a lead role in the design and development of overall AI systems using data science and software engineering best practices and techniques to increase profit, decrease cost and optimise the workflow across the group. Work on a range of projects across the business from Supply Chain to Marketing to positively impact financial performance. Collaborate and direct Data Scientists to turn prototypes into production-grade AI systems, increasing efficiency in the production of outputs and ensuring that the business has the most up-to-date data available upon which to base key decisions. Writing production grade Python and SQL for feature engineering and model pipelines, incorporating best practices such as packaging, unit testing, version control and logging ensure that the software we deliver is of high quality, extensible and reproducible. Collaborate with digital areas to ensure interpretability and reliability of AI systems reducing the need for costly manual intervention. Play a leading role in contributing to and improving overall team standards and best practice to improve the quality and efficiency of how the team operates and our outputs. Innovate to drive best practices for data within the group through use of new technologies, Machine Learning and AI, bringing other areas along with us. Lead on collaborative knowledge sharing and improvements to working practices order to further personal development and data science within the group. Nurture and develop good working relationships with the team, project stakeholders and customers to ensure smooth product delivery. Essential At least 3+ years experience in a hands-on developer role within an AI team. MSc in a relevant discipline (e.g. Computer Science, Data Science, Information technology etc.) or relevant experience. Previous programming experience with data in Python and SQL, ideally in Software Engineering, Data Engineering or Data Science. Knowledge and experience of the Python data & AI stack Knowledge and experience of development and version control tools and workflows (e.g. Git, Feature branch) Experience of MLOps and associated tools such as Azure DevOps/Github, MLFlow, Azure ML Experience working with large datasets/big data architectures; particularly Pyspark / Databricks. Experience deploying container technologies (e.g. Docker, Kubernetes) Experience playing a lead role on technical AI projects. Excellent communication skills with both technical and non-technical audiences High level of accuracy of work and attention to detail. Ability and desire to self-learn and pick up emerging technologies. Positive attitude and outlook and enjoy working as part of a team to share knowledge and ideas. Desirable Experience of Data & AI with Azure, particularly Azure ML Experience working with and deploying LLMs Experience with deploying cloud resources using infrastructure-as-code, particularly Azure/Bicep