AI & Automation Data Engineer - Build Scalable Intelligence

Artificial Intelligence & Automation Data Engineer

Location: United Kingdom

Ref: REF4155A

Job Function: Information Technology

Responsibilities

• Establish, manage, and evolve the company's Data, AI and Automation processes, supporting senior management in developing and achieving the organisation's strategic plan.
• Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard across Smiths Group and its divisions.
• Solution innovative ways to organise AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques.
• Provide leadership on the implementation of security & authorisations best practices for accessing AI and Automation solutions.
• Work proactively with internal and key business partners to deliver analytic AI models through projects and BAU.
• Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing.
• Manage and distribute workloads to the D&A team members, balancing their strengths and career aspirations.
• Take a leading role in the growth of the team and support the development of D&A and Divisional team members through coaching and mentoring.
• Develop Data, AI and automation solutions; test, deploy, and maintain intelligent systems.
• Collaborate with data scientists and other engineers to integrate AI into broader system architecture.
• Stay current with AI trends and suggest improvements to existing systems and workflows.
• Create a Roadmap that delivers the vision and embeds capabilities for master/reference data, data quality management, data cataloguing, data governance, and traceability.
• Develop and manage data platform, data management, and tooling and access controls for all users.
• Provide business-focused data-related guidance across data architecture, governance, and integration.
• Ensure all D&A deliveries are performance assessed and can execute within acceptable response times.
• Lead on the development and maintenance of dashboards, forms, and tools for non-technical users.
• Implement and regularly review existing data management policies.
• Collaborate across Smiths divisions to discuss data problems and support project specification development.
• Support the creation of Data Analytic Models and Data Visualisations (e.g. PowerBI) within the Azure platform.
• Own and govern the code promotion process for Analytic Models and Visualisation code sets.
• Organise, store and analyse data efficiently while upholding security standards.
• Manage PowerBI Licences, Gateways and Microsoft Visual Studio installed in Smiths.
• Develop documentation and training material for applications.
• Evaluate, design, implement and support new requirements or database changes.
• Design and develop new analytics/models using new data sets.
• Provide technical oversight for integrating new technology into existing data standards.
• Monitor and analyse information and data systems to discover enhancement opportunities.
• Ensure the integrity, confidentiality, and security of all developed solutions.
• Establish rules and procedures for data sharing with upper management and external stakeholders.
• Create and enforce policies for effective data management.
• Support others in the daily use of data systems and ensure adherence to legal and company standards.
• Provide regular progress reports to your manager on BAU activities and project deliverables.
• Regularly provide accurate availability/capacity reports for the D&A team.
• Act as a mentor to new super users within the Divisions using PowerBI technology.
• Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team.

Qualifications

• Educated to degree level or equivalent.
• Experience with machine learning, deep learning, NLP, and computer vision.
• Proficiency in Python, Java, and R.
• Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
• Experience in Data Science techniques and methodologies.
• Excellent problem-solving skills and ability to work in a team environment.
• Thorough understanding of data security, management, and administration principles.
• Proficient at digesting and analysing large amounts of data.
• Excellent understanding of data administration and management functions.
• Experience in working with offshore and onshore support models.
• Experience in working with information technology.
• Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc).
• Good knowledge of SQL language and simple analysis techniques.
• Technical experience in On-Premise and Public Cloud Data Services.
• Understanding of Big Data technologies (Hadoop, Spark).
• Able to create rich visualisations that represent underlying datasets.
• Business functional knowledge to relate processes to underlying data.
• ERP experience and implementations (nice to have).
• Excellent organisational and project management skills.
• Passionate and curious about new technology and the tech industry.
• Excellent verbal and written communication skills.
• General understanding of PaaS Concepts - ideally in MS-Azure Cloud.

Diversity & Inclusion

We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.

At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website.