Salary: Role and experience dependent
CD: not specified
Senior Software Engineer
As a Senior Software Engineer, reporting to a Development Team Leader, you will join a team that comes from a wide range of industries and technology environments. Drawing upon these diverse experiences, you will envision and create our innovative Data Marketplace and new data-driven products and services that leverage shared and linked data.
You are a very experienced and adaptable Data Scientist.
You have a genuine passion for, and interest in, solving societal challenges and seeing your work make a real difference.
You believe that data can make the difference.
You strongly identify with our Values:
- Innovation
- Inspiration
- Integrity
- Interdependence[1]
You are :
- Real-world practitioner experience across a range of disciplines, collaborating with experts in other spaces –
- Bringing a “superpower” to the team – an area of deep expertise in which you will lead our thinking and own solving our problems.
You are:
- Comfortable working face-to-face and remotely as part of a collaborative multi-disciplinary team in a lean and agile environment
- A self-starter
- Able to deal with ambiguity[3]
- An excellent communicator
- Well organised
- Keen to learn and grow through continuous improvement
- A coach for others.
You have the right to work in the UK.
Required skills & experience:
Modern software development practices: Agile, test-driven development, refactoring, continuous integration/continuous delivery (such as Kubernetes, Docker).Cloud: Delivering within cloud services (Azure, AWS or Google Cloud) – we use Azure.
APIs: Developing and using HTTP REST API microservices or GraphQL APIs.
For data engineers and back-end developers: Strong experience of:
- Delivering data platforms with a variety of data stores (e.g. relational, columnar, triplestores, graph databases).
- Designing and building data architectures for performance and integrity.
- Big data processing tools and technologies (e.g. Hadoop, Spark, Kafka, Pachyderm).
For front-end developers: Strong experience with one or more front-end development frameworks such as React, Angular or Vue, in a data-centric environment.
For knowledge engineers: Real-world experience implementing semantic web and linked data concepts.
If you want to join our team as a Senior Software Engineer, please apply either directly to jobs@agrimetrics.co.uk or via our preferred recruiters.
Please note that the CV screen is being done by our Chief Operating Officer, who will really appreciate:
- A tailored, focused application that clearly speaks to the specifics of the company and the role as set out above.
- Clear demonstration of expertise and of value delivered.
Senior Data Scientist
As a Senior Data Scientist, reporting to a Data Science Team Leader, you will join a team with a mix of backgrounds in complex domains like agrifood and life sciences, with skills across computing and statistics. You will develop analytical capabilities, predictive models and data processing pipelines that embed analytics and insights into our, and our customers’, daily operations.
You are a very experienced and adaptable Data Scientist.
You have a genuine passion for, and interest in, solving societal challenges and seeing your work make a real difference.
You believe that data can make the difference.
You strongly identify with our Values:
- Innovation
- Inspiration
- Integrity
- Interdependence[1]
You are :
- Real-world practitioner experience across a range of disciplines, collaborating with experts in other spaces –
- Bringing a “superpower” to the team – an area of deep expertise in which you will lead our thinking and own solving our problems.
You are:
- Comfortable working face-to-face and remotely as part of a collaborative multi-disciplinary team in a lean and agile environment
- A self-starter
- Able to deal with ambiguity[3]
- An excellent communicator
- Well organised
- Keen to learn and grow through continuous improvement
- A coach for others.
You have the right to work in the UK.
Required skills & experience:
Data science competency: Solving market-facing problems using a “superpower” in a priority pattern of AI[1]:
- Recognition (natural language processing, text and other unstructured data)
- Predictive analytics (including machine learning, data assimilation, modelling and statistics)
- Patterns and anomalies, or
- Goal-driven systems.
Programming languages:
- Proficiency in Python and common data processing and modelling libraries such as pandas and TensorFlow. R is a nice-to-have but not a requirement.
- Working alongside data engineers and developers to create production-ready data pipelines.
Data visualisation: Such as Power BI, Tableau or other.
Cloud: Delivering within cloud services (Azure, AWS or Google Cloud) – we use Azure.
If you want to join our team as a Senior Data Scientist, please apply either directly to jobs@agrimetrics.co.uk or via our preferred recruiters.
Please note that the CV screen is being done by our Chief Operating Officer, who will really appreciate:
- A tailored, focused application that clearly speaks to the specifics of the company and the role as set out above.
- Clear demonstration of expertise and of value delivered.