This role involves providing expertise in data engineering, AI/ML, and analytics to support the development of automated agricultural systems, focusing on data strategies, technical leadership, and stakeholder engagement.
Job purpose
Provide specialist data engineering, AI/ML and analytics expertise to support ventures developing autonomous or automated agricultural systems. This includes field robotics, mechatronic systems, airborne platforms (e.g., UAVs), and automation workflows across horticulture and field settings. Ensures data-led technologies are integrated, validated and evidenced appropriately across trials, working collaboratively across TTD, and ensuring interoperability, standards and data quality throughout delivery. Undertake horizon scanning to ensure that new data/AI technologies, companies and opportunities are identified and evaluated.
Team Purpose:
Shape the organisations’ data & AI roadmap and ensure technical expertise informs SME progression, facility development and programme delivery. Enabling ventures to validate performance, generate trusted operational data, and accelerate commercial adoption of robotics solutions.
This is a hybrid role based at our tech site at Cranfield. Travel to other sites might be required occasionally
Shape the organisations’ data & AI roadmap and ensure technical expertise informs SME progression, facility development and programme delivery. Enabling ventures to validate performance, generate trusted operational data, and accelerate commercial adoption of robotics solutions.
This is a hybrid role based at our tech site at Cranfield. Travel to other sites might be required occasionally
Key Responsibilities
· Support technology businesses with their data/AI development and commercial value propositions, aligning with sector and commercial realities and linking them to relevant expertise.
· Provide insight to define data strategies and evidence plans for trials (capture, metadata, quality, benchmarking), working collaboratively with the Trials and Facilities teams.
· Maintain and grow specialist and sector knowledge, staying at the forefront of developments in the UK and internationally and utilising this knowledge to set strategic direction, support technology businesses and create partnerships.
· Provide insight to define data strategies and evidence plans for trials (capture, metadata, quality, benchmarking), working collaboratively with the Trials and Facilities teams.
· Maintain and grow specialist and sector knowledge, staying at the forefront of developments in the UK and internationally and utilising this knowledge to set strategic direction, support technology businesses and create partnerships.
Strategic Responsibilities:
· Technical leadership: Advise businesses on ETL/ELT, data models, geospatial workflows and AI readiness, and lead technical aspects of product development in programme and project work where data is core.
· Stakeholder engagement: Demonstrate sector leadership in engaging across the agri-tech ecosystem, building and maintaining strong relationships with key stakeholders and contributing to national data standards and interoperability discussions.
· Data analysis: Understand, interpret and present technical data to generate clear, defensible insight for ventures and to support the development of data/AI technologies.
· Horizon scanning: Identify new technologies and businesses to engage with, supporting the development of new strategy and/or business opportunities.
· Technical leadership: Advise businesses on ETL/ELT, data models, geospatial workflows and AI readiness, and lead technical aspects of product development in programme and project work where data is core.
· Stakeholder engagement: Demonstrate sector leadership in engaging across the agri-tech ecosystem, building and maintaining strong relationships with key stakeholders and contributing to national data standards and interoperability discussions.
· Data analysis: Understand, interpret and present technical data to generate clear, defensible insight for ventures and to support the development of data/AI technologies.
· Horizon scanning: Identify new technologies and businesses to engage with, supporting the development of new strategy and/or business opportunities.
Operational Responsibilities:
· Design and review data flows for trials, to ensure benchmark-ready datasets are created for businesses.
· Build or guide pipelines (e.g. FME Flow/Form, Python-based automation) and geospatial data processes (e.g. PostGIS) where needed; diagnose schema, performance and integration issues.
· Work across the wider TT&D team to enhance our capabilities and identify new opportunities.
· Contribute to evidence frameworks (benchmarking, inputs to TEA/LCA) and to e.g. AI data labelling and computer-vision workflows.
· Deliver/contribute expertise to commercial and CR&D projects as required.
· Support the delivery of technical events such as technology demonstrations in an engaging and professional manner.
Leadership / People Responsibilities:
· Sector leadership function with respect to data & AI
· Design and review data flows for trials, to ensure benchmark-ready datasets are created for businesses.
· Build or guide pipelines (e.g. FME Flow/Form, Python-based automation) and geospatial data processes (e.g. PostGIS) where needed; diagnose schema, performance and integration issues.
· Work across the wider TT&D team to enhance our capabilities and identify new opportunities.
· Contribute to evidence frameworks (benchmarking, inputs to TEA/LCA) and to e.g. AI data labelling and computer-vision workflows.
· Deliver/contribute expertise to commercial and CR&D projects as required.
· Support the delivery of technical events such as technology demonstrations in an engaging and professional manner.
Leadership / People Responsibilities:
· Sector leadership function with respect to data & AI
What we are looking for
Essential:
· Postgraduate qualifications in a relevant discipline.
· Proven experience of ETL/ELT and data automation (e.g. FME Flow/Form, Python); strong geospatial skills (e.g. PostGIS).
· Working understanding of ML/computer-vision data pipelines, labelling and annotation requirements and data-quality processes for AI.
· Excellent communication and interpersonal skills, with the ability to engage and influence a diverse range of stakeholders.
· Experience of diagnosing and resolving data engineering issues (schema design, validation, performance, integration).
· Experience in delivering workshops and presentations.
· Strong analytical and problem-solving skills, with a focus on innovative and practical solutions.
· Strong organisational skills and the ability to prioritise tasks effectively when multi-tasking.
· Good teamwork, using a collaborative approach and excellent consultative skills.
· Ability to deliver accurately to tight deadlines and under own initiative.
· Ability to translate technical information for non-technical audiences.
· Postgraduate qualifications in a relevant discipline.
· Proven experience of ETL/ELT and data automation (e.g. FME Flow/Form, Python); strong geospatial skills (e.g. PostGIS).
· Working understanding of ML/computer-vision data pipelines, labelling and annotation requirements and data-quality processes for AI.
· Excellent communication and interpersonal skills, with the ability to engage and influence a diverse range of stakeholders.
· Experience of diagnosing and resolving data engineering issues (schema design, validation, performance, integration).
· Experience in delivering workshops and presentations.
· Strong analytical and problem-solving skills, with a focus on innovative and practical solutions.
· Strong organisational skills and the ability to prioritise tasks effectively when multi-tasking.
· Good teamwork, using a collaborative approach and excellent consultative skills.
· Ability to deliver accurately to tight deadlines and under own initiative.
· Ability to translate technical information for non-technical audiences.
Desirable:
· Understanding of the R&D process, the agri-tech sector, and agricultural datasets/sector geospatial sources.
· Familiarity with MLOps/DataOps and ML training pipelines.
· Exposure to on-prem/hybrid environments (e.g. Hyper-V) and Linux administration.
· A successful history of applying for grant funding and commercial tenders.
· Familiarity with national/international agricultural data‑standards initiatives and interoperability schemes.
· Excellent IT skills and proficient with Microsoft environments, including task management tools.
· Full UK driving licence.
· Understanding of the R&D process, the agri-tech sector, and agricultural datasets/sector geospatial sources.
· Familiarity with MLOps/DataOps and ML training pipelines.
· Exposure to on-prem/hybrid environments (e.g. Hyper-V) and Linux administration.
· A successful history of applying for grant funding and commercial tenders.
· Familiarity with national/international agricultural data‑standards initiatives and interoperability schemes.
· Excellent IT skills and proficient with Microsoft environments, including task management tools.
· Full UK driving licence.
Technical / Professional Competencies:
· Knowledge of data engineering, geospatial data processing, data standards/interoperability, AI/ML and computer-vision data pipelines.
· Technical/analytical capability in data/AI, design and validation.
· Understanding of real-world operational constraints and simulation-to-field workflows.
· Data literacy.
· Stakeholder engagement and customer management skills.
· Communication skills – translating complex analysis for non-technical audiences.
· Knowledge of data engineering, geospatial data processing, data standards/interoperability, AI/ML and computer-vision data pipelines.
· Technical/analytical capability in data/AI, design and validation.
· Understanding of real-world operational constraints and simulation-to-field workflows.
· Data literacy.
· Stakeholder engagement and customer management skills.
· Communication skills – translating complex analysis for non-technical audiences.
Why join us?
You will be part of a pioneering organisation driving innovation in agri-tech, whilst working in a collaborative and forward-thinking environment. There is opportunity to grow and develop within a newly established organisation, plus a range of benefits including:
- 33 days of annual leave with flexible public holidays allocation
- Flexible working hours
- 4x salary life assurance
- EAP with 24/7 helpline and expert advice service (legal, finance, health)
- Pension salary sacrifice scheme availability
- Fees for professional memberships
- Ongoing training and development
If you are ready for a role that truly makes an impact - join us and be part of something meaningful. We’d love to hear from you!
About
Our Strategy and valuesThe UK Agri-Tech Centre is on a clear mission: to accelerate the commercial success of UK agri-tech at scale. We are customer-focused, commercially minded and connect with purpose - helping innovative businesses test and validate their technologies, navigate their commercial journey, and access the markets and supply chains that enable meaningful impact. Everything we do is underpinned by our organisational values: we do the right thing with integrity, accountability and respect for others; we inspire and innovate through curiosity and proactive thinking; we make a difference by focusing on meaningful future impact; and we build and connect through collaboration, trust and strong relationships.
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