Job Description Help for Job Description. Opens a new window. Chief Data Officer £160,000

• £180,000 London (Hybrid
• 1 Day per Week in Office) The Company This is a high-growth, private equity-backed financial services organisation.

As part of an ambitious growth strategy, the business is making significant investments across technology, data, and product, creating an exciting opportunity for a senior data leader to shape the future of the organisation's data capabilities. This is a critical executive appointment, with a mandate to modernise the data estate, enhance engineering capability, and maximise the impact of data across the end-to-end customer journey. The Role As Chief Data Officer, you will be responsible for defining and delivering the organisation's data vision while leading a large-scale transformation of its data and analytics function. Working closely with the executive leadership team, you will play a pivotal role in establishing data as a strategic business asset.

Key responsibilities include:

• Reviewing and reshaping the current data function, operating model, and organisational structure.
• Defining and executing a long-term data strategy aligned to business growth objectives.
• Leading the design and implementation of a modern data platform, including data lake and warehousing capabilities.
• Building a scalable, self-service data environment that empowers teams to access and leverage data effectively.
• Driving improvements in data engineering, governance, architecture, and analytics capabilities.
• Partnering with product, technology, and business leaders to embed data-driven decision-making across the organisation.
• Leveraging AI and emerging technologies to improve engineering productivity, accelerate software development, and enhance operational efficiency.
• Leading data initiatives focused on customer onboarding, personalisation, insight generation, and overall customer experience optimisation.
• Establishing best-in-class data practices, ensuring scalability, security, and long-term value creation. Skills & Experience
• Proven experience operating in a senior data leadership role, ideally at Data Director, VP Data, or Chief Data Officer level.
• Strong background within a technology-driven or digitally enabled organisation.
• Demonstrated success building, scaling, or transforming enterprise-wide data functions.
• Deep understanding of data engineering, architecture, cloud platforms, analytics, and modern data ecosystems.
• Experience designing and implementing data lakes, cloud data platforms, and modern warehouse architectures.
• Strong track record of delivering self-service data and reporting capabilities that drive business adoption.
• Credibility operating at both strategic and technical levels, with the ability to challenge and influence stakeholders.
• Hands-on understanding of modern data technologies and engineering best practices.
• Experience with Azure and the Microsoft data ecosystem would be highly advantageous.
• Strong appreciation of AI, automation, and their application to software engineering productivity and business performance.
• Proven ability to collaborate effectively with architecture, engineering, product, and executive leadership teams.
• Commercially minded leader who can balance long-term strategy with practical execution.
• Experience within financial services, fintech, lending, payments, or another regulated environment would be beneficial. View Jobs Senior ML Ops Engineer London £75000
• £85000 + Data Science & AI Permanent London Senior MLOps Engineer £75,000
• £85,000 London (1-2 days a week in office) This is an opportunity to join a growing AI and data-driven organisation where your work will have a direct impact on the development and delivery of advanced machine learning solutions.

You will play a key role in shaping scalable MLOps infrastructure, enabling AI products to operate reliably across a diverse client base while contributing to meaningful, real-world outcomes.

THE COMPANY

They are a mission-led technology business that uses data, machine learning, and advanced analytics to help organisations make better decisions. Their platform combines data engineering, AI, and predictive modelling to generate actionable insights at scale. As they continue to grow, they are investing heavily in their AI capabilities and platform infrastructure, creating an exciting environment for engineers who enjoy solving complex technical challenges.

THE ROLE

As a Senior MLOps Engineer, you will join the platform engineering function, owning and evolving the infrastructure that underpins the organisation's AI services Specifically, you can expect to be involved in the following:

• Designing and maintaining scalable MLOps infrastructure that supports machine learning, NLP, knowledge representation, and AI applications.
• Deploying and managing machine learning models using Azure ML, Azure Kubernetes Service (AKS), and associated cloud technologies.
• Building and maintaining production-grade orchestration pipelines for model training, inference, monitoring, and retraining.
• Developing CI/CD pipelines to automate testing, deployment, and operational processes.
• Implementing observability, monitoring, and alerting frameworks to ensure platform reliability and performance.
• Driving best practice around Responsible AI, governance, transparency, and auditability.
• Collaborating with engineering, delivery, and consulting teams to support the adoption and scaling of AI solutions
• Other key responsibilities & selling points of role.

SKILLS AND EXPERIENCE

The successful Senior MLOps Engineer will have the following skills and experience:

• Strong commercial experience in MLOps, platform engineering, infrastructure engineering, or a related field.
• Advanced Python development skills within production environments.
• Expertise with Azure-native MLOps tools, including model endpoints, pipelines, registries, environments, and compute resources.
• Experience deploying and supporting containerised workloads on Kubernetes.
• Strong knowledge of CI/CD practices using Azure DevOps or similar tooling.
• Experience with infrastructure-as-code technologies such as Terraform, Bicep, or Pulumi.
• Knowledge of monitoring and observability tooling such as Prometheus and Grafana.
• Experience with orchestration platforms including Dagster, Airflow, Prefect, or similar.

BENEFITS

The successful Senior MLOps Engineer will receive the following benefits:

• Salary between £75,000
• £85,000
• depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page. View Jobs Lead AI Engineer London £95000

• £115000 + Data Science & AI Permanent London Lead AI Engineer £95,000
• £115,000 King's Cross, London (1-2 days a week in office) This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact.

You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.

THE COMPANY

They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.

THE ROLE

As a Lead AI Engineer, you will Specifically, you can expect to be involved in the following:

• Own the technical direction, architecture, and implementation of AI systems end-to-end.
• Design and build LLM-powered and agent-based solutions from concept through to production.
• Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
• Make key decisions on models, tooling, i.

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