Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• IT & Cloud Security Governance – Managing security across Google Workspace, Microsoft 365, and SaaS platforms.

• Risk & Compliance Leadership – Ensuring alignment with ISO 27001, Cyber Essentials, and CIS 18.

• AI & Data Security – Driving best practices for AI-first security and compliance.

• Business-Focused Security Strategy – Supporting sales, contracts, and client security due diligence.

• Incident Response & Risk Management – Leading security response planning and mitigation strategies. Collaboration & Stakeholder Engagement – Partnering with engineering, product, and leadership teams to drive security initiatives.

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• Design and develop scalable AI architecture, including LLM integration, APIs, and agentic modules.

• Define the technical roadmap for AI systems, ensuring high availability, security, and performance.

• Collaborate with data scientists, ML engineers, and software engineers to optimise model deployment and infrastructure.

• Establish best practices for AI/ML pipelines, including data ingestion, model training, and inference.

• Research and integrate emerging AI technologies, frameworks, and methodologies. Ensure compliance with regulatory and ethical AI standards.

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• Lead the development and delivery of AI agent modules, ensuring high-quality and business-aligned solutions.

• Act as the primary technical interface for senior business stakeholders, translating business needs into technical requirements.

• Manage and mentor a team of AI/ML engineers, fostering innovation and best engineering practices.

• Architect and implement scalable AI agent systems leveraging LLMs, RAG, reinforcement learning, and autonomous decision-making.

• Ensure seamless integration of AI agents with enterprise applications and existing tech stacks. Drive experimentation, rapid prototyping, and iterative development of AI-driven solutions.