Engage in Production Engineering tasks, including documentation, new equipment introduction, and process improvements to enhance quality and reduce costs.
Ideal candidates should have experience in manufacturing processes, strong problem-solving skills, and a proactive approach to quality assurance.
Position based in Barnstaple, requiring onsite work 4-5 days a week, offering a salary of up to £32k, depending on experience.
Lead policy initiatives for tax revenue in Wales, influencing public service funding through strategic decision-making and stakeholder engagement.
Ideal candidates possess strong analytical skills, extensive policy experience, and demonstrate a commitment to public service and collaborative working.
Flexible working options based in Cardiff; includes full-time, job share, and a comprehensive Civil Service Pension scheme.
Support care-experienced young people aged 18–25 through practical assistance and emotional guidance in areas like housing, education, and employment.
Ideal candidates should possess experience in social care, excellent interpersonal skills, and a nurturing attitude towards young people.
Full-time position based in Weston-super-Mare, offering 25 days annual leave, increasing to 30 days after five years and the flexibility of a hybrid work model.
Drive transformative change by improving processes and implementing AI-enabled solutions within the IB's Assessment and Operations Office.
Seek candidates with experience in business change, innovation, and implementing efficiency-focused solutions, while fostering a collaborative mindset.
Enjoy hybrid working with 2 days in the office per week in a dynamic and supportive environment, located in Cardiff, The Hague, or Washington.
Contribute to research and development in data science and machine learning for weather and climate modelling, focusing on defined scientific and technical tasks.
The ideal candidate will have experience in data science, strong analytical skills, and a passion for environmental impact and collaboration.
This full-time role is based in Exeter, offering hybrid working options and flexible hours, with a strong emphasis on work-life balance.
Contribute to the development of data science and machine learning for weather and climate modelling, enhancing predictive capabilities and environmental insights.
Ideal candidates will possess a strong background in data science, computational methods, and an eagerness to learn and adapt in a collaborative environment.
Enjoy hybrid working options, with a focus on full-time hours at 37 per week, and a supportive culture committed to environmental impact and inclusivity.