At a Glance
- Tasks: Lead the design and implementation of cutting-edge AI solutions in a dynamic team.
- Company: Join Rentokil Initial, a leader in innovative AI technology.
- Benefits: Enjoy competitive salary, hybrid working, and a rewarding employee benefits scheme.
- Other info: Be part of a diverse and inclusive team that values your unique perspective.
- Why this job: Make a real impact by shaping the future of AI across global operations.
- Qualifications: Expertise in AI orchestration, machine learning, and cloud computing required.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Rentokil Initial to hire for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems.
The primary goals of the team include:
- Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions.
- Collaborating with the Data Platform team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI.
- Creating and operating a company-wide agentic AI solution platform to help scale up AI capabilities across all functions and regions.
- Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform.
- Supporting, governing, and enabling company-wide adoption of emerging AI technologies.
We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands-on enough to solve complex engineering bottlenecks. You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation.
Responsibilities
- Technical Leadership & Engineering: Design Agentic Systems, drive delivery by designing and building agentic solutions, define Engineering Excellence, and partner closely with our GCP and Data Engineering teams.
- AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance.
- Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer-facing AI assets.
Team Mentorship & Delivery: Act as a technical mentor to a team of intermediate and junior AI Engineers, collaborate with the AI Product Owner and Business Analysts, and shift the team's focus from sandboxed proof-of-concepts (PoCs) to reliable, resilient applications deployed to production.
Evolve AI Maturity: Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification, and tool selection.
Requirements
- Experience: Expert-level experience building complex LLM-powered systems and multi-agent workflows, deep practical understanding of machine learning algorithms, and strong proficiency in designing optimized ELT/ETL pipelines.
- Hands-on experience: With Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS).
- MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes.
- Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent.
Knowledge & Skills
- Autonomy: Works with high autonomy under broad strategic guidance.
- Influence: Exerts major technical influence across the organization, partners, and peers.
- Complexity: Manages diverse, highly complex, and unpredictable technical challenges.
- Business Skills: Advises executives on AI trends, risks, and tools.
Technical Expertise & Tools: Advanced proficiency in Python and SQL.
Relevant Qualifications
- Desirable: Google Cloud Certified Cloud Engineer, Google Cloud Certified Professional Data Engineer / Cloud AI Engineer.
- Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production-grade commercial AI systems is highly valued.
Benefits: Competitive salary and bonus scheme, hybrid working, Rentokil Initial Reward Scheme, 23 days holiday plus 8 bank holidays, Employee Assistance Programme, Death in service benefit, Healthcare, Free parking.
At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.
To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process.
At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role.
Principal Data Scientist - AI, MLOps & GenAI Lead in Southgate employer: Hackajob Ltd
JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.
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