Data and AI Developer

TerraQuest

Role: Data and AI Developer

Location: Birmingham in line with our Agile Working Policy. You will need to be able to work from our Birmingham office 2 days per week/office to be attended as often as business needs require.

Salary: Competitive

Who we are...

TerraQuest Solutions Ltd is an award-winning and market-leading specialist provider of planning land property and business solutions. We are an established and trusted organisation that is renowned for its expertise in providing innovative and cost-effective solutions to both public and private sectors. Our team delivers bespoke flexible and efficient services through a process-orientated delivery structure. We pride ourselves on strong customer relationships evidenced by the high proportion of referrals and repeat business.

Why work with us

We are a Living Wage Foundation accredited employer committed to supporting the well-being and development of all our people. With competitive salaries enhanced Family Friendly policies; a fabulous suite of benefits (including: Pension; Life Assurance; Employee Assistance Programme; option to buy additional annual leave in addition to 25 days plus Bank Holidays); true flexibility with our Agile Working approach and superb training and development opportunities we really care about our team!

What we need...

Due to continued investment in data and AI we are looking to recruit a Junior to Midlevel Data and AI Developer to join our growing AI development capability within the Solutions Team.

This role is ideal for an engineer with a strong foundation in software engineering and data who is excited by applied AI and machine learning and wants to grow in a fastevolving technical area. Youll work alongside experienced engineers to help transform highquality data into AIpowered products including conversational and agentbased solutions that deliver real business value.

As TerraQuest scales its AI capability this role offers excellent opportunities for learning progression and exposure to modern AI data and cloud technologies.

What you will be doing

• Working with structured and unstructured data to prepare transform and validate datasets for AI and machine learning solutions.
• Developing and maintaining software components services or functions using C# Python or similar languages to support AIpowered features.
• Training evaluating and iterating on machine learning or AI models applying appropriate techniques with guidance from senior engineers.
• Applying machine learning techniques and basic statistical analysis to help assess and improve AI model performance.
• Integrating AI models and services into applications or workflows ensuring solutions are reliable secure and maintainable.
• Collaborating within agile delivery teams contributing to user stories technical tasks and sprint ceremonies.
• Writing clean testable and welldocumented code and participating in code reviews as part of a collaborative engineering culture.
• Gaining exposure to cloudbased AI services data platforms and MLOps practices as solutions move from experimentation to production.

What we are looking for

Essential knowledge and skills

• A strong foundation in software engineering with experience using C# Python or similar languages.
• Understanding of data concepts including data structures data quality and data transformation.
• Exposure to AI or machine learning concepts such as model training evaluation or promptbased AI solutions.
• Foundational understanding of machine learning and basic statistical analysis and how they are applied in realworld systems.
• Familiarity with working in cloud environments (handson experience is a plus not a requirement).
• Understanding of testing principles and an interest in writing automated tests.
• Experience working in or exposure to agile software development teams.
• Strong problemsolving skills curiosity and a willingness to learn in a rapidly evolving technical space.

Desirable knowledge and skills

• Experience with data engineering tools or pipelines including data ingestion or transformation.
• Exposure to machine learning frameworks or libraries (e.g. scikitlearn PyTorch TensorFlow or similar).
• Familiarity with cloudhosted AI or data services.
• Awareness of MLOps practices such as model versioning evaluation monitoring or deployment workflows.
• Experience applying statistical or machine learning techniques to real datasets.
• Experience working with APIs microservices or eventdriven architectures.
• Interest in responsible AI data governance and ethical use of AI technologies.

Please apply for more information and please do not be put off if you do not have all of the experience and skills required. If you have the majority of skills and relevant experience we would still like to hear from you!

TerraQuest Solutions Ltd is committed to promoting equality of opportunity in all aspects of employment and to creating an inclusive working environment in which individuals are treated with dignity and respect.

We ensure that no job applicant employee or worker receives less favourable treatment on the grounds of age disability gender reassignment marital or civil partnership status pregnancy or maternity race (including colour nationality ethnic or national origin) religion or belief political opinion sex or sexual orientation.

TerraQuest Solutions Ltd operates in compliance with the Fair Employment and Treatment (Northern Ireland) Order 1998. We monitor the composition of our workforce in accordance with the Fair Employment (Monitoring) Regulations (Northern Ireland) 1999 and where applicable submit annual monitoring returns to the Equality Commission for Northern Ireland (ECNI). All monitoring information is held securely and processed under the legal basis of compliance with a statutory obligation in accordance with the UK GDPR and the Data Protection Act 2018. We do not rely on employee consent and ensure all personal data is treated with the utmost confidentiality and integrity.

TerraQuest aims to use this data to help identify and address any patterns of underrepresentation and to inform positive action measures where appropriate fostering a workplace culture that embraces diversity and fair participation.