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They are a research and analytics consultancy that delivers insight to organisations across the public, private, and not-for-profit sectors. Their work combines research, analytics, and technology to help clients understand people, markets, and communities. The business is continuing to grow and is investing in senior talent to support both client delivery and commercial development.
The Role
You will:

• Lead strategic client relationships and act as a senior point of contact
• Manage and grow existing accounts by identifying new opportunities
• Prepare proposals and responses to research briefs and RFPs
• Oversee the delivery of quantitative and qualitative research projects
• Review analysis, reports, and presentations before client delivery
• Ensure projects are delivered to agreed quality, budget, and timeline requirements
• Support project teams by managing risks and resolving delivery challenges
• Coach and develop Research Managers and consultants
• Work with internal teams to improve processes and the use of technology and AI tools

Your Skills & Experience

• Strong experience leading research, insight, or analytics projects
• Quantitative research expertise with experience overseeing full project lifecycles
• Ability to translate data into clear recommendations for stakeholders
• Experience managing client relationships and growing accounts
• Track record of developing proposals and responding to complex briefs or RFPs
• Strong project management and organisational skills
• Experience managing and developing researchers or consultants
• Commercial awareness and an understanding of project profitability
• Excellent communication and presentation skills
• Interest in improving ways of working through technology and AI

How to Apply
If you are interested in this Associate Director opportunity and have experience in research, insight, or analytics consulting, please apply to find out more.

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Senior Product Engineer
London (Hybrid, 3 days)

Join a well-funded AI startup building a behavioural intelligence platform for financial services. As an early engineering hire, you’ll play a key role in shaping the product, architecture, and engineering culture while working closely with founders and senior leadership.

The Company
They are developing an AI-powered platform that helps organisations better understand customer behaviour and decision-making. With strong early customer traction and enterprise PoCs underway, they are now scaling their product and engineering capability.
The Role

• Build and scale LLM-enabled product features from concept to production
• Design APIs, backend systems, and AI-powered workflows
• Improve model quality through evaluation, monitoring, and guardrails
• Optimise token usage, performance, and cost efficiency
• Collaborate on product strategy, roadmap, and architecture
• Help establish engineering best practices as the team grows

Your Skills & Experience

• Strong product engineering background
• Experience building and launching an LLM-powered product
• Backend expertise, ideally with Node.js and TypeScript
• Experience with APIs, cloud infrastructure, and scalable systems
• Comfortable operating with autonomy in an early-stage environment
• Strong communication and stakeholder management skills

What They Offer

• £115,000 to £140,000 base salary
• Meaningful equity package
• Hybrid working in London
• Significant ownership and autonomy
• Opportunity to shape a product and engineering function from an early stage

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AI/ML Engineer

Amsterdam, Netherlands

78,000 + Benefits

This is an opportunity to join a growing AI and Data function where you’ll help move AI use cases from concept into production, delivering measurable business impact. You’ll work across the full solution lifecycle, combining software engineering, machine learning, data integration, and modern AI technologies to build products that solve real business challenges.

The Company

Our client is a well-established international organisation investing heavily in AI, data, and digital innovation. They are focused on building scalable AI-powered products that enhance customer experiences and improve operational efficiency. The business combines the stability of an established organisation with the agility and ambition of a modern technology-focused environment. AI is a strategic priority, offering the opportunity to work on impactful initiatives with strong visibility across the organisation.

The Role

As an AI/ML Engineer, you will design, develop, and deploy production-grade AI solutions that deliver tangible business value.

Responsibilities include:

• Building and scaling AI-powered applications and backend services using Python
• Developing AI assistants, agent workflows, and orchestration frameworks using modern LLM technologies
• Translating business requirements into reliable, secure, and production-ready AI solutions
• Integrating enterprise data sources into AI products and services
• Collaborating with data, engineering, and business stakeholders to deliver end-to-end solutions
• Creating reusable components, tools, and frameworks to accelerate future AI development
• Developing and maintaining automated testing and evaluation frameworks for AI applications
• Supporting containerised deployments, CI/CD pipelines, and operational best practices
• Monitoring solution performance and driving continuous improvement after deployment
• Ensuring solutions align with security, privacy, and responsible AI standards

Your Skills & Experience

• Strong commercial experience building production-grade applications in Python
• Expertise with FastAPI, Pydantic, and API-based architectures
• Experience developing LLM-powered applications using technologies such as OpenAI, LangChain, and LangGraph
• Strong understanding of prompt engineering, agent orchestration, tool calling, and structured outputs
• Experience working with Databricks, SQL, data pipelines, and enterprise data integration
• Knowledge of automated testing and quality assurance practices for AI applications
• Experience with Docker, Azure DevOps, CI/CD, and cloud-based environments
• Understanding of software engineering best practices, including maintainability, observability, and scalability
• Ability to work effectively with both technical and non-technical stakeholders
• A collaborative mindset and passion for delivering high-quality AI products

What They Offer

• €78,000 base salary depending on experience
• Annual bonus and comprehensive benefits package
• Hybrid working environment
• Exposure to cutting-edge AI and machine learning technologies
• Opportunity to work on high-impact, enterprise-scale AI initiatives
• Strong career progression within a growing AI and Data function
• Collaborative and innovative technology culture

How to Apply

If you’re an AI/ML Engineer looking to build and scale production AI solutions in a forward-thinking environment, apply today to learn more about this opportunity.

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Head of Data Engineering

Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits

This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.

The Company

They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.

The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.

The Role

You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.

Responsibilities include:

• Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
• Defining and executing the data engineering roadmap in partnership with senior leadership
• Driving delivery across platform development, data migrations, and modernisation initiatives
• Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
• Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
• Developing cloud-based data platforms that support analytics, reporting, and AI use case
• Managing stakeholder relationships across technology, product, analytics, and business teams
• Ensuring platform reliability through monitoring, incident management, and operational governance
• Supporting hiring, team development, and succession planning within the engineering function
• Championing best practices across Data Engineering, DataOps, and platform operations

Your Skills & Experience

• Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
• Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
• Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
• Experience building and scaling engineering teams while maintaining high technical standards
• Ability to lead architectural discussions and make informed technical decisions
• Experience implementing CI/CD, automation, testing, and DataOps best practices
• Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
• Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
• Familiarity with governance, security, and compliance requirements within enterprise environments
• A hands-on leadership style with the ability to support technical teams when needed

What They Offer

• Salary between €110,000 and €150,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Flexible and hybrid working arrangements
• Opportunity to shape and scale an entire Data Engineering function
• Significant exposure to senior leadership and strategic decision-making
• Clear progression towards Director-level and broader Data & AI leadership responsibilities
• The chance to influence the organisation’s long-term data and AI strategy

How to Apply

If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.

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Senior Manager, Data & Analytics

Base salary: $165,000 – $200,000

Bonus: Included

Hybrid (2 days per week in office)

Overview

We are partnering with a data-driven consumer business seeking a Senior Manager, Data & Analytics to lead a multidisciplinary data team and act as a strategic partner to senior leadership.

This is a highly visible leadership position combining team management, stakeholder engagement, analytics, business intelligence, and data strategy. The successful candidate will help shape how data is used across the organisation, driving better decision-making through actionable insights and scalable analytical capabilities.

This role would suit an experienced analytics leader who enjoys operating in a player-coach capacity, balancing strategic leadership with hands-on involvement where needed.

The Opportunity

You will lead a small team spanning multiple data disciplines and serve as the primary point of contact for data and analytics across the business.

The role requires someone who can translate complex business questions into analytical solutions, influence senior stakeholders through evidence-based recommendations, and build a high-performing data function that supports commercial growth and operational effectiveness.

Success in this position will come from the ability to combine strong leadership, commercial acumen, analytical thinking, and technical credibility.

Key Responsibilities

Leadership & Team Development

• Lead, mentor, and develop a multidisciplinary team covering analytics, business intelligence, reporting, and data management.
• Establish clear ownership, priorities, and accountability across the team.
• Foster a culture of continuous improvement, collaboration, and delivery excellence.
• Act as a player-coach, providing guidance while remaining close enough to the work to unblock challenges and support key initiatives.

Business Partnership

• Partner directly with senior business stakeholders to understand priorities and strategic objectives.
• Translate business needs into actionable data and analytics initiatives.
• Provide thought leadership and challenge assumptions through data-driven insights.
• Influence decision-making through effective communication and storytelling.

Analytics & Insights

• Drive analysis across customer, commercial, operational, and financial performance.
• Identify opportunities, risks, trends, and areas for improvement.
• Deliver meaningful recommendations that lead to measurable business outcomes.
• Establish and evolve KPI frameworks that support organisational performance.

Data & Reporting

• Oversee reporting, data quality, governance, and analytical processes.
• Partner closely with technical teams to ensure scalable and sustainable data solutions.
• Improve analytics capabilities, reporting structures, and business visibility into performance.

Innovation & Emerging Technologies

• Support adoption of modern analytical approaches, including AI-enabled tooling and predictive analytics where appropriate.
• Identify opportunities to improve efficiency, scalability, and decision-making through technology.

Required Experience

• 6+ years of experience in Analytics, Business Intelligence, Data Science, or related disciplines.
• Previous people leadership experience, including team development and performance management.
• Experience leading broad data functions rather than a single specialist discipline.
• A proven track record of partnering with senior stakeholders and influencing decisions.
• Experience working within fast-paced, data-rich business environments.

Technical Requirements

• Advanced SQL proficiency.
• Strong experience with modern BI and visualisation platforms such as Looker, Omni, Tableau, Power BI, or similar.
• Understanding of data pipelines, data transformation processes, reporting environments, and data quality principles.
• Ability to collaborate effectively with technical and engineering teams.

Preferred

• Snowflake
• dbt
• Python
• Predictive analytics
• MLOps exposure
• AI-enabled analytics tooling

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Director of AI

Salary: Up to $275,000pa

Location: Remote, US

Function: Artificial Intelligence / Engineering

Level: Director

The Opportunity

We’re partnering with a global, technology-led organization undergoing a major data and AI transformation to hire a Director of AI.

The business operates at significant global scale, serving thousands of customers across 60+ countries, but its AI function is intentionally being built as a small, highly capable team. This is an opportunity to have genuine influence over how AI is deployed across an established organization without inheriting a large, slow-moving structure.

The mandate is ambitious: build AI into both customer-facing products and the way the organization operates internally, with a particular focus on intelligent agents capable of executing real business processes end-to-end.

This is not an AI strategy role where you sit above the technology. You’ll be expected to remain technically credible and hands-on, working alongside engineers on architecture and design while simultaneously setting direction, influencing executives and building the AI function.

What You’ll Own

You’ll partner closely with senior technology leadership to define and execute the company’s AI strategy, including:

• Agentic AI: Design and scale intelligent agents capable of executing complex business processes, including tool access, context management, control flow, error recovery, guardrails and human-in-the-loop decision making.
• AI platforms & architecture: Establish the frameworks, reference architectures and engineering standards that future AI capabilities will be built upon.
• Production AI: Own approaches around RAG, model selection, MCP/A2A integrations, evaluations, regression testing and moving AI systems successfully from pilot into production.
• Customer-facing AI: Build increasingly sophisticated AI capabilities into external products, including intelligent insights and recommendations.
• Operational automation: Identify high-value opportunities where AI can reduce repetitive service work and improve both efficiency and customer experience.
• AI economics: Make informed decisions around model selection, inference costs, model routing, self-hosting and build-versus-buy.
• Governance & security: Ensure AI systems operate within enterprise security, privacy and regulatory requirements, including preparation for the EU AI Act and ISO/IEC 42001.
• AI adoption: Help the wider organization understand how to use AI effectively through education, internal tools and change management.
• Team building: Initially work with a small contractor group before building a focused team of AI and ML Engineers.

What We’re Looking For

This role needs someone who can operate comfortably between the boardroom and the architecture discussion.

You’ll likely bring 10+ years of software engineering leadership experience, including significant experience leading AI transformation at organizational scale. Director of AI JD

Crucially, you should have personally built and shipped production AI systems, rather than only overseeing teams doing the work. Experience with agentic systems, production RAG, agent integrations such as MCP/A2A, evaluation frameworks and production AI architecture will be particularly relevant. Director of AI JD

You should also be comfortable:

• Leading a mixture of permanent engineers and contractors.
• Working directly with executive stakeholders and communicating both the possibilities and limitations of AI.
• Making pragmatic build-versus-buy decisions and managing AI vendors.
• Assessing whether a problem genuinely requires AI or whether a simpler solution would deliver better ROI.
• Operating within enterprise cybersecurity, privacy and AI-governance requirements.
• Working in a fast-moving environment where the technology changes faster than the documentation.

Particularly Interesting Experience

Experience building ML models from the ground up, a strong data science foundation, multi-tenant customer-facing AI products, workflow automation platforms such as n8n, or AI within travel, hospitality or logistics would all be advantageous.

Why Consider It?

This is a chance to join at an unusually interesting point: the foundations are already being built, executive sponsorship for AI is strong, but the AI organization itself is still at the beginning of its journey.

You won’t inherit a finished strategy or a 50-person team. You’ll inherit real production problems, an aggressive roadmap and the opportunity to build a small AI function capable of having an outsized impact across a global business.

If you’re an AI leader who still wants to build, challenge assumptions and ship, rather than simply manage from a distance, we’d be interested in speaking with you.

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Senior Platform Architect
$165,000 – $190,000
Hybrid 3-4 days/week onsite

Overview

A growing technology and professional services organization is seeking a Senior Platform Architect to define and lead the technical vision for enterprise digital platforms. This role is responsible for establishing cloud, application, integration, and data architecture standards while partnering closely with engineering teams to ensure solutions are scalable, secure, cost-effective, and operationally resilient.
The ideal candidate has successfully led the architecture of large-scale production environments, understands the tradeoffs required to support high user volumes and complex workloads, and can demonstrate experience guiding platforms from initial design through ongoing operations.

Key Responsibilities

• Own and evolve the target-state architecture across cloud, application, data, and integration domains.
• Design and implement secure, scalable cloud environments using modern landing zone strategies, network segmentation, private connectivity, governance controls, and industry-recognized architecture frameworks.
• Define API, interoperability, and integration standards across distributed systems, including event-driven architectures and enterprise messaging platforms.
• Establish data architecture patterns supporting both operational and analytical workloads using cloud-native storage, relational databases, and large-scale analytics platforms.
• Define and govern non-functional requirements including system availability, performance targets, recovery objectives, throughput expectations, and cost efficiency metrics.
• Ensure architectural decisions align with security, compliance, governance, and regulatory requirements.
• Lead architecture reviews, resolve technical design conflicts, and provide implementation guidance to engineering teams.
• Drive observability, monitoring, incident readiness, and post-incident architectural improvements.
• Produce architecture documentation, decision records, diagrams, and technical standards for stakeholders and delivery teams.
• Advise leadership on platform investments, technology selection, cost optimization, and build-versus-buy decisions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, GIS, or a related technical discipline. Equivalent experience may be considered.
• Minimum 7 years of experience in platform architecture, solution architecture, or large-scale systems design.
• Active Secret security clearance required.
• Demonstrated experience serving as the lead architect for production systems supporting large user populations or other highly available, mission-critical environments.
• Deep hands-on expertise with Microsoft Azure, including:
  • Azure Kubernetes Service (AKS)
  • App Service
  • Azure Functions
  • Microsoft Entra ID
  • Networking, storage, and managed data services
• Experience designing API and integration architectures, including authentication, versioning, contract management, and backward compatibility strategies.
• Strong knowledge of data architecture principles, including modeling, partitioning, governance, and access control.
• Experience establishing architectural standards, governance processes, and secure scalable design practices.
• Ability to translate business requirements into technology strategy, architecture decisions, and implementation guidance.
• Strong communication and documentation skills with experience presenting architectural recommendations to technical and non-technical audiences.

Preferred Qualifications

• Experience operating within regulated government or highly compliant cloud environments.
• Azure Solutions Architect Expert certification or equivalent experience.
• Experience supporting geospatial or location-based technology platforms and interoperable service standards.
• Infrastructure-as-Code expertise using Terraform or Bicep.
• Experience building CI/CD practices using platforms such as Azure DevOps or GitHub Actions.
• Proven record of leading post-incident reviews and driving platform improvements.
• Experience mentoring senior engineers and developing organizational architecture practices.

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