Software jobs in Regno Unito

Department: Analytics

Employment Type: Permanent

Location: Birmingham/Leeds

Reporting To: Quantitative Development Manager

Compensation: Circa £54,000

• Design, develop, and deploy secure and scalable AI and ML solutions, ensuring alignment with organisational priorities and standards.
• Improve and maintain existing tools and models; enhancing accuracy, data ingestion, and user experience.
• Responsible for contributing to the development of reusable frameworks, engineering standards, and documentation that guide sustainable AI development.
• Work collaboratively with analysts, subject matter experts, and stakeholders to translate business needs into technically sound solutions
• Acts as a key technical partner to analysts and business teams, supporting knowledge transfer and model interpretability.
• Create and maintain clear, high-quality technical documentation and user-facing material.

• A good first degree or higher in a highly numerate subject (e.g. computer science, engineering, mathematics, or data science).
• Minimum 2 years’ experience in Python development, including use of scientific and data libraries such as NumPy, pandas, SciPy, or PySpark.
• Experience working with machine learning frameworks and libraries such as scikit-learn, PyTorch, TensorFlow, or similar.
• Strong grasp of object-oriented software engineering principles, with a focus on maintainability and scalability.
• Experience with version control tools, particularly Git, in collaborative development environments.
• Understanding of core data structures, algorithms, and model performance trade-offs.
• Familiarity with modern MLOps and model lifecycle practices, including reproducibility, testing, and deployment.
• Knowledge of responsible AI practices, data governance, and ethical implications of ML development.
• Strong communication skills, with the ability to explain complex technical ideas to non-technical audiences clearly and effectively.
• An adaptable and curious mindset with a proactive approach to problem-solving and learning.
• Familiarity with cloud platforms such as Azure, AWS, or GCP is desirable.

• Annual performance based bonus, up to 10%
• 25 days annual leave, plus eight bank holidays
• Up to 8% pension contribution
• Financial support and time off for study relevant to your role, plus a professional membership subscription
• Employee referral scheme (up to £1500), and colleague recognition scheme
• Family friendly policies, including enhanced maternity leave and shared parental leave
• Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
• Three paid volunteering days a year
• Season ticket loan and cycle to work schemes
• Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
• Employee resource groups