Staff Software Engineer

They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products.

The Role

This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches.

You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team., Project Ownership

• Lead the design and delivery of AI/ML initiatives across the full lifecycle
• Build and deploy models, data pipelines, and production systems

Cross-Functional Collaboration

• Work closely with Engineering, Product, and DevOps teams
• Support integration of AI capabilities into wider platforms

Technical Leadership

• Provide guidance on AI/ML frameworks, tools, and best practices
• Contribute to the development of agent-based AI systems and workflows

Mentorship & Communication

• Mentor engineers and support technical development
• Promote strong collaboration across teams

Problem Solving & Optimisation

• Identify and resolve challenges in AI/ML systems
• Improve performance, scalability, and reliability

Governance & Quality

• Ensure high standards around model performance, data quality, and compliance

Documentation & Knowledge Sharing

• Maintain clear documentation and contribute to internal best practices

• 7+ years’ experience in AI/ML engineering, including production systems
• 3+ years in a technical leadership role
• Strong programming skills (e.g. Python or similar)
• Experience with machine learning, data pipelines, and scalable systems
• Knowledge of modern AI approaches, including large language models and agent-based systems
• Experience working with cloud platforms (AWS, GCP, or Azure)
• Understanding of distributed systems and scalable architectures
• Experience with CI/CD, microservices, and MLOps practices
• Ability to mentor and support engineers
• Strong collaboration and communication skills
• Experience working in Agile environments
• Degree in a relevant technical field (or equivalent experience)

Tech Environment (indicative)

• Backend languages (e.g. Python or similar)
• Cloud platforms (AWS / GCP / Azure)
• Containerisation and orchestration tools
• Infrastructure as code
• Observability and ML tooling
• Modern AI/LLM frameworks
• Relational and non-relational databases
• Version control and CI/CD tooling

• Competitive salary
• 25 days’ annual leave + bank holidays
• Sick pay package
• Flexible / remote working
• Enhanced parental leave
• Pension scheme
• Career development opportunities