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Senior Data – AI Architect

Job not on LinkedIn

🔥 7 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on LGC's careers page, not through a job board

First seen by Remote Rocketship 7 minutes ago

Logo of LGC

LGC

1001 - 5000 employees

Founded 1842

🏥 Healthcare

🍽️ Food & Beverage

🏭 Manufacturing

Healthcare • Food & Beverage • Manufacturing

LGC is a global leader in life science tools, partnering with customers to provide innovative solutions for some of the world's most complex challenges. The company specializes in diagnostics and genomics, offering products and services that improve the safety of food, medicines, and the environment. LGC's expertise extends to nucleic acid therapeutics, biosearch technologies, and reference standards, supporting accurate diagnostics and safety compliance. Their commitment to science and public health is evident in their response to global pandemics and contribution to conservation efforts using genotyping technologies. By collaborating with end-user labs, biopharma, and academic institutions, LGC continues to advance precision medicine and enhance global health standards through research, proficiency testing, and the development of new technologies.

📋 Description

• Design and deliver enterprise-wide data architecture strategies supporting business ambitions • Architect scalable, secure and high-performing data solutions across cloud and on-premises environments • Design AI and machine learning solutions addressing business challenges and delivering measurable value • Improve existing infrastructure and optimise performance • Identify opportunities to increase efficiency • Establish data governance, quality, security and compliance frameworks • Partner with business leaders, engineers and data scientists to turn complex requirements into practical solutions • Explore emerging technologies and challenge existing approaches • Help teams remain ahead of technological developments • Mentor technical colleagues and support a culture of collaboration, learning and innovation

🎯 Requirements

• Significant experience in data architecture, data engineering or enterprise technology architecture, including leading large-scale initiatives • Strong experience designing data platforms using AWS, Azure or Google Cloud • Expertise in data modelling, SQL, NoSQL and modern database technologies • Experience with big data technologies such as Apache Spark, Hadoop or distributed computing frameworks • Programming knowledge in Python, Scala, Java or similar languages • Experience architecting AI and machine learning solutions, including deploying models into production • Solid understanding of data governance, security, quality and compliance • Strong problem-solving skills • Ability to communicate technical ideas clearly to a wide range of stakeholders • Ability to influence stakeholders and shape long-term technology decisions

🏖️ Benefits

• Inclusive work environment where everyone can compete and succeed based on their merits • Commitment to valuing applicants and employees for their individual talents • Diversity and non-discrimination commitment

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