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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning & AI Engineer - **Company:** 1st Central - **Location:** Haywards Heath, UK (Remote available) - **Experience:** Expert - **Salary:** £85,000.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Data Security, DevOps, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Engineering, Systems Integration, Management of Software Versions, Azure Service Bus, Pytorch, Machine Learning Operations, Azure Synapse Analytics, Stream Analytics, Software Version Control, Data Pipelines, Web Api - **Published:** September 5, 2026 - **Apply:** https://firstcentral.wd3.myworkdayjobs.com/External/job/Manchester/Lead-Machine-Learning---AI-Engineer---10-month-Fixed-Term-Contract_JR103450-1/apply ## About the Role * Azure Cloud & AI Platform Expertise: Deep experience and strong understanding of Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). * Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such as PyTorch and TensorFlow. * MLOps & Production Deployment: Skilled in applying MLOps frameworks within production environments. * Analytical & Problem-Solving Strength: Excellent problem-solving and analytical skills. * Troubleshooting & Technical Diagnosis: Ability to diagnose and troubleshoot problems quickly. * Strong line management: Ability to effectively run and manage a team, motivating for high performance and managing under-performance where necessary, * Extensive experience of building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer. * Experience building integrations between cloud-based systems using APIs. * Experience developing and maintaining ML and AI systems. * Experience of agile ways of working, applied in a data science, machine learning and AI environment. * Experience of designing, or maintaining data software development lifecycles, and continuous integration and deployment (CICD). * Exposure to machine learning and AI methodology and best practices. * Coaching experience. * Experience within financial/insurance services industry advantageous, * Bachelor's or master's degree and/or equivalent professional experience. * Deep experience and strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory). * Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, TensorFlow etc. * Skilled in application of MLOps frameworks within a production environment. * Excellent communication skills, both verbal and written. * Strong time management and organisation skills. * Ability to diagnose and troubleshoot problems quickly. * Excellent problem-solving and analytic skills. Behaviours * Strong stakeholder management. * Leads by example, encouraging others to fulfil their potential. * Embrace, embed and incorporate the company values. * Self-motivated and enthusiastic. * An organised and proactive approach. * Ability to work on own initiative and as part of a team. * A flexible approach and positive attitude. * Strives to drive business improvements to contribute to the success of the business. If you thrive in high-impact environments, want to lead meaningful AI innovation and move fast while doing it, we'd be excited to hear from you. Ready to join us? We're looking for talented people who want to make a real impact for our customers, colleagues and business. Apply today and discover where a career at 1st Central could take you. ## Description * You'll continue to grow and evolve our Machine Learning & AI Engineering standards and frameworks. * You'll design further enhancements to the data pipelines and engineering infrastructure to embed scaled machine learning & AI solutions. * You'll support data science and AI discovery and model development activities, through acquisition and transformation of data. * You'll support model development, with an emphasis on auditability, versioning, and data security. * You'll collaboratively design and implement AI Ops on cloud (Azure). * You'll optimise deployment of ML & AI model scoring code in production services. * You'll use CI/CD pipelines, manage the deployment and version management of large numbers of data science & AI models, supporting customer and operational processes. * You'll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality. * You'll manage the remediation of priority 2, 3 and 4 issues impacting production ML & AI services deployed within the business. * You'll carry out data science & AI model testing, validation and test automation. * You'll support deployment of ML & AI models as API endpoints for consumption within First Central and partner systems. * You'll continually look for how we can evolve and improve our technology, processes and practices. * You'll lead group discussions on system design and architecture and sharing knowledge with the wider engineering community. * You'll collaborate closely with data scientists, data engineers, AI engineers, and the software development team to ensure end to end data science and AI solutions are embedded into business processes. * You'll liaise with senior stakeholders across the business to ensure ML and AI are being used to improve strategic business decisions and identify new areas for improvements * You'll provide coaching, empowerment and support to a team of ML Ops and AI engineers. * You'll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times. * You'll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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