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Associate Director, Qualitative Research

Up to £65,000 + 11.5% Annual Bonus (Paid Quarterly)
London (Southwark) – 2 days per month if outside M25

I’m hiring an Associate Director, Qualitative Research for a global healthcare research business with an outstanding reputation across pharmaceuticals, healthcare, biotech, and life sciences.

This is a brilliant opportunity for an experienced research operations leader who enjoys managing people, delivering high-quality client work, and helping research teams perform at their best. The role sits within a large, established qualitative research function and combines leadership, client management, and operational delivery.

The company

Part of a globally recognised healthcare group, this business supports many of the world’s leading pharmaceutical, biotech, healthcare, and life sciences organisations with research, recruitment, data collection, and engagement services.

They combine the feel of a specialist healthcare research consultancy with the backing, reach, and stability of a global organisation operating across more than 200 markets worldwide.

The role

This is a senior leadership role within the Qualitative Research division.

You’ll report into the Head of Qualitative Research and lead a team of Project Management professionals responsible for delivering complex healthcare research programmes.

Importantly, this is not a research design or insights role.

Instead, the focus is on:

• Team leadership
• Project delivery
• Operational performance
• Client relationship management
• Commercial delivery
• Process improvement

You’ll act as the senior escalation point for both clients and project teams, ensuring projects are delivered on time, within budget, and to a consistently high standard.

What you’ll be doing

Team Leadership

• Lead, mentor, and develop a team of 4-5 Project Managers.
• Manage resource allocation, utilisation, and team performance.
• Support career development, coaching, and succession planning.
• Help build a high-performing, collaborative culture.

Client & Commercial Management

• Build and maintain strong relationships with healthcare research clients.
• Act as a senior escalation point on complex projects.
• Ensure client expectations are met and exceeded.
• Support profitability, project performance, and account growth.

Operational Delivery

• Oversee qualitative healthcare research projects from an operational perspective.
• Ensure projects are delivered on time and within budget.
• Monitor team KPIs and operational performance.
• Improve delivery processes and ways of working.

Strategic Contribution

• Partner with senior leadership on operational improvements.
• Help shape the future growth of the qualitative function.
• Contribute to continuous improvement initiatives across the wider business.

What they’re looking for

Essential

• 5+ years’ experience within the market research industry.
• Strong project management and operational delivery experience.
• Previous people management experience.
• Experience managing client relationships and stakeholders.
• Strong communication and stakeholder management skills.
• Ability to manage workloads, KPIs, budgets, and delivery.
• Experience operating in fast-paced, project-led environments.

Strongly Preferred

• Healthcare market research experience.
• Experience leading project management or operations teams.
• Exposure to pharmaceutical, healthcare, biotech, life sciences, or patient research projects.

Typical backgrounds

• Associate Director
• Project Director
• Senior Project Director
• Client Services Manager
• Research Operations Manager
• Operations Director (Research)
• Healthcare Research Programme Manager

Why this role?

• Lead an established team within a highly respected healthcare research business.
• Manage and develop a team of experienced project professionals.
• Work with some of the world’s leading healthcare and pharmaceutical organisations.
• Strong balance of leadership, operational delivery, and client engagement.
• Backed by a global organisation with excellent stability and growth.
• Flexible working approach for candidates outside London.

Location & Flexibility

London (Southwark)

• Standard expectation: 2 days per week in the office if inside the M25
• For candidates based in the Midlands or North, the business can offer a more flexible arrangement of approximately 2 days per month in London.

Package

• Up to £65k
• 11.5% annual bonus (paid quarterly)
• Hybrid/flexible working
• Strong career progression
• Healthcare and wellbeing benefits
• Global business with excellent long-term opportunities

Interview Process

Stage 1: Teams interview with senior leadership

Focus on:

• Leadership experience
• Team management
• Client ownership
• Operational delivery
• Career motivations

Final Stage: In-person presentation exercise assessing:

• Communication skills
• Stakeholder management
• Commercial thinking
• Executive presence
• Client-facing capability

This role would suit someone who enjoys leading people, improving operations, and building strong client relationships while remaining close to project delivery in a healthcare research environment.

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PHP Developer

Birmingham (Hybrid, 2 days per week) | Up to £50,000

Looking to work on a major platform transformation using modern PHP technologies? This is an opportunity to join a growing development team building and enhancing business-critical internal applications within a collaborative engineering environment.

The Company
An established financial services business investing heavily in its technology estate. They are replacing third-party software with scalable in-house platforms and are growing their engineering capabilities across development, data and QA.

The Role
You will:

• Develop and enhance applications using PHP and Laravel
• Contribute to a greenfield internal platform
• Build and integrate APIs
• Work closely with SQL Developers and QA Engineers
• Write clean, secure and maintainable code
• Participate in testing, code reviews and releases

Your Skills & Experience

• Strong commercial PHP and Laravel experience
• JavaScript knowledge
• API integration experience
• Experience with relational databases
• Understanding of testing and software quality practices
• Strong debugging and problem-solving skills

Nice to have:

• Vue.js or Inertia.js
• CI/CD or DevOps exposure
• Docker experience

What They Offer

• Up to £55,000 salary
• Hybrid working, 2 days in Birmingham
• Greenfield development projects
• Modern technology stack
• Strong collaboration and learning opportunities

How to Apply
Apply now to find out more about this PHP Developer opportunity.

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Data Engineer

Eindhoven, The Netherlands

Salary: 5k a month + holiday

If you’re looking for a role where you can shape an entire data function from the ground up, this is a rare opportunity to make a lasting impact. Joining a fast-growing SaaS business operating in the healthcare space, you’ll be the first dedicated Data Engineer, owning the design, build, and evolution of the company’s data platform in a truly greenfield environment.

The Company

They are a scaling SaaS organisation with a strong product offering and growing international customer base. With data becoming increasingly central to business decision-making and product development, they are investing in building modern data capabilities from scratch. This is an opportunity to influence architecture, technology choices, and best practices from day one. You’ll work closely with stakeholders across the business while helping establish the foundations for a future data team.

The Role

You will take ownership of the company’s data engineering capability, designing and delivering a scalable data platform that supports analytics, reporting, and future data initiatives.

Responsibilities include:

• Designing and building a modern cloud-based data platform from the ground up
• Developing robust ETL and ELT pipelines to ingest, transform, and manage data from multiple SaaS applications and operational systems
• Establishing data modelling standards and scalable data architecture
• Owning data quality, reliability, governance, and monitoring processes
• Partnering with product, engineering, finance, and commercial teams to understand business requirements
• Creating the foundations for self-service analytics and reporting
• Evaluating and selecting appropriate tools, technologies, and frameworks
• Supporting the longer-term growth and maturity of the company’s data function

Your Skills & Experience

• Strong commercial experience as a Data Engineer within a modern cloud environment
• Expertise building data pipelines and data platforms from scratch
• Advanced SQL skills and strong data modelling capabilities
• Experience with cloud platforms such as AWS, Azure, or GCP
• Hands-on experience with modern data stack technologies, including tools such as Snowflake, Databricks, BigQuery, Redshift, dbt, or equivalent
• Strong Python or similar programming skills
• Experience working with SaaS product data and multiple third-party integrations
• Ability to operate independently and take ownership in a standalone Data Engineering role
• Strong stakeholder management and communication skills
• Passion for building scalable, maintainable, and well-documented data solutions

What They Offer

• Salary of €55,000 – 60,000 depending on experience
• Meaningful equity or share incentive opportunity
• Hybrid working model based in Amsterdam
• Comprehensive benefits package
• Significant autonomy and ownership from day one
• Opportunity to define data strategy, architecture, and best practices
• Clear progression path into a future Lead Data Engineer or Head of Data position as the function grows
• Exposure to senior leadership and direct influence on business decisions

How to Apply

If you’re a Senior Data Engineer who enjoys building data platforms from scratch and wants to play a pivotal role in a growing SaaS business, apply today to find out more.

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SENIOR FULL STACK DEVELOPER
£70,000 – £85,000
LONDON

This is an exciting opportunity for a Senior Full Stack Developer to join a growing technology business that is investing heavily in its platform and engineering capabilities. You’ll play a key role in rebuilding and enhancing a modern cloud-based platform, working across the full software development lifecycle while helping to shape technical decisions and mentor other engineers.

THE COMPANY

Our client is an international technology organisation with a large and growing user base, operating across multiple markets globally. Their products combine software, cloud technologies, and connected digital services, creating a highly scalable technology ecosystem serving millions of users. With continued growth and ongoing investment in their platform, they are expanding their engineering team and looking for experienced developers who enjoy solving complex technical challenges while collaborating across multiple business functions.

THE ROLE

Responsibilities include but are not limited to:

• Contribute to the ongoing rebuild and evolution of a modern platform architecture

• Develop scalable full stack applications using Node.js, TypeScript, React/Next.js, and cloud technologies

• Design and build APIs using GraphQL and REST principles

• Work closely with product, mobile, engineering, and business stakeholders to deliver high-quality solutions

• Mentor and support other developers, promoting strong engineering standards and best practices

• Influence technical decisions and contribute to architectural discussions across the platform

• Help improve system performance, scalability, reliability, and maintainability

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience building full stack applications in modern engineering environments

• Expertise with Node.js and TypeScript for backend development

• Experience with React and/or Next.js for frontend development

• Strong understanding of GraphQL, REST APIs, and distributed systems

• Experience with Kafka and event-driven architectures

• Knowledge of AWS, Docker, and cloud-native development practices

• Experience working with PostgreSQL, MongoDB, Redis, or similar database technologies

• Strong communication skills with the ability to engage both technical and non-technical stakeholders

SALARY AND BENEFITS

• £70,000 – £85,000 base salary
• Contributory pension scheme
• Private Medical
• 25 days holiday

HOW TO APPLY

Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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PRINCIPAL DATA ENGINEER
UP TO £110,000
LONDON

This is an opportunity for a Principal Data Engineer to play a key leadership role within a large-scale data environment, working on commercially critical data products that directly influence business performance. Combining hands-on engineering, technical strategy, and people leadership, you will help shape engineering standards while mentoring and growing a talented team of data professionals.

THE COMPANY

Our client is a well-established international organisation undergoing an exciting evolution of its data function. With a complex and mature data estate, they are looking for experienced technical leaders who can drive best practices, influence engineering direction, and contribute to the ongoing development of modern data platforms and products.

THE ROLE

Responsibilities include but are not limited to:

• Provide technical leadership across Data Engineering, Software Engineering, and DevOps practices

• Remain hands-on, investigating complex technical challenges and unblocking delivery teams when required

• Work with AWS, Snowflake, and dbt to support and enhance modern data platforms

• Lead and mentor engineers, helping to develop technical capability across the wider team

• Partner with senior stakeholders across the business to influence technical decisions and priorities

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience within Data Engineering and Software Engineering

• Proven expertise working with AWS, Snowflake, and dbt in modern cloud-based environments

• Experience driving engineering best practices across data platforms, software development, and DevOps.

• Strong people leadership skills, including coaching, mentoring, and developing engineers.

• Comfortable engaging with senior stakeholders and influencing decisions across large organisations.

• Experience working with large-scale data environments and complex enterprise ecosystems.

SALARY AND BENEFITS

• Up to £110,000 base salary
• Contributory pension scheme

HOW TO APPLY

Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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SENIOR CLOUD ENGINEER
£70,000 – £75,000
OXFORD

This is an opportunity to take ownership of AWS capability within a growing consulting business focused on cloud, data, and digital transformation. You’ll play a key role in shaping a greenfield AWS environment while helping the organisation evolve towards a modern multi-cloud platform.

THE COMPANY

Our client is a consulting business with a strong reputation for delivering cloud, data, and digital transformation solutions. They are expanding their AWS capability to support growth across the business. This is an exciting opportunity to help establish and shape AWS best practice from the ground up within a collaborative engineering environment. You’ll join a lean team where you can influence technical direction, drive engineering standards, and make a visible impact on strategic technology initiatives.

THE ROLE

Responsibilities include but are not limited to:

• Lead the design, build and evolution of AWS cloud infrastructure
• Establish AWS architecture standards, security best practices and platform capabilities
• Build AWS Landing Zones and scalable cloud foundations
• Build and maintain CI/CD pipelines
• Collaborate with non-technical and technical stakeholders
• Mentor junior engineers

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience designing, building and supporting cloud solutions within AWS environments
• Expertise across AWS architecture, cloud networking, security and platform engineering
• Expertise in Terraform and Infrastructure as Code
• Experience building and maintaining CI/CD pipelines
• Strong scripting and automation skills
• Excellent stakeholder management and communication skills

SALARY AND BENEFITS

• £70,000 – £75,000 base salary
• Contributory pension scheme

HOW TO APPLY

Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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Senior Data Scientist
London | £75,000 – £85,000

This is an excellent opportunity for a Senior Data Scientist to join a growing technology business at a key stage of its journey. You’ll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes.

The Company
They are a data-driven SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data Science capability and product innovation.

The Role

• Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
• Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring
• Partner with Product, Engineering, and commercial teams to deliver scalable analytical solutions
• Translate complex findings into clear, actionable recommendations for stakeholders
• Support the development of data science standards, validation frameworks, and best practices
• Mentor junior team members and contribute to a collaborative data science culture

Your Skills & Experience

• Strong commercial experience in Data Science and Machine Learning
• Advanced Python and SQL skills with experience building production-ready models
• Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques
• Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality
• Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows
• Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations

How to Apply
If you’re interested in this Senior Data Scientist opportunity, please apply with your CV for immediate consideration.

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Data Engineering Manager

100% Remote – United States
Salary: Up to $220,000 base + Comprehensive Benefits
U.S. Citizens or Green Card Holders Only
No Sponsorship Available Now or in the Future

A rapidly growing technology organization focused on delivering advanced data and analytics solutions is seeking a Data Engineering Manager to lead a team responsible for building scalable, cloud-based data platforms and customer data integration solutions. This is a fully remote leadership opportunity where you’ll drive technical strategy, mentor engineers, and help shape the future of a modern data ecosystem.

What You’ll Be Doing

• Lead and develop a high-performing Data Engineering team, providing mentorship, coaching, and technical direction.
• Oversee the design and delivery of scalable data platforms, ELT pipelines, and data integration frameworks.
• Drive modernization initiatives across data architecture, tooling, automation, and engineering practices.
• Partner with business and technical stakeholders to translate complex requirements into scalable solutions.
• Establish engineering standards, best practices, and quality processes to improve reliability and maintainability.
• Lead efforts around data quality, validation, observability, profiling, and monitoring capabilities.
• Evaluate emerging technologies, including AI-enabled solutions, to improve engineering productivity and automation.
• Build and execute data roadmaps that support both customer needs and long-term platform growth.

What We’re Looking For

• 12+ years of data engineering experience with increasing ownership and leadership responsibilities.
• 5+ years of experience managing or leading data engineering teams, including mentoring and developing engineers.
• Strong hands-on expertise with SQL, Python, ELT pipelines, and modern data architectures.
• Experience with orchestration and transformation tools such as Airflow, Astronomer, Dagster, dbt, or similar technologies.
• Proven background designing scalable data platforms and modernizing legacy environments.
• Experience working with complex, imperfect data from multiple sources and building standardized data models.
• Strong understanding of data quality, governance, validation, and monitoring practices.
• Excellent communication skills with the ability to influence technical and business stakeholders.
• Healthcare, public sector, SaaS, or highly regulated industry experience is highly beneficial.

Why This Opportunity?

• 100% remote within the U.S.
• Opportunity to lead critical data initiatives with significant business impact.
• High visibility role influencing technology strategy and platform direction.
• Collaborative, growth-oriented culture with strong executive support.
• Competitive compensation, bonus potential, and comprehensive benefits package.

Location: Fully Remote (U.S.)
Work Authorization: U.S. Citizen or Green Card Holder required. No sponsorship available.
Employment Type: Full-Time, Permanent

Confidential search being conducted by a recruiting partner on behalf of our client.

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Senior Agentic AI Engineer (Full Stack)
$160,000-$180,000
4 days/week on-site

Overview

We are seeking a senior software engineer with a strong full-stack background who has evolved into AI engineering and agent development. This role focuses on building, deploying, and optimising intelligent agents and AI-driven workflows that interact with enterprise systems, data sources, and users.
The successful candidate will have hands-on experience developing production-grade AI applications using large language models (LLMs), retrieval-augmented generation (RAG), agent orchestration frameworks, and modern software engineering practices. This position is centred on designing and building AI agents rather than purely traditional application development.

Key Responsibilities

AI Agent Development

• Design and develop AI agents capable of reasoning across complex business processes and interacting with tools, APIs, and enterprise systems.
• Build intelligent support and workflow automation agents that understand intent, retrieve information, and execute tasks.
• Develop agentic workflows combining LLMs, structured data, business logic, external services, and retrieval mechanisms.
• Create memory, context, and personalisation capabilities to improve agent effectiveness.
• Implement guardrails, monitoring, evaluation frameworks, escalation paths, and human oversight mechanisms.
• Measure and improve agent performance across quality, reliability, latency, utilisation, and cost metrics.

Full-Stack Application Development

• Build user-facing applications that enable interaction with AI-powered experiences.
• Develop modern frontend applications using frameworks such as React, Angular, Next.js, or comparable technologies.
• Create backend services, APIs, orchestration layers, and integration services using Python-based frameworks.
• Translate advanced AI capabilities into practical business applications and intuitive user experiences.
• Own solutions end-to-end from architecture through deployment and support.

Data & AI Infrastructure

• Build and maintain data ingestion, integration, and transformation pipelines.
• Develop and support retrieval-augmented generation (RAG) solutions and enterprise search capabilities.
• Design systems supporting context management, retrieval, memory, and personalisation.
• Integrate AI solutions with databases, APIs, analytics platforms, and enterprise applications.
• Ensure data quality, security, reliability, and scalability across AI systems.

LLM Engineering

• Integrate and orchestrate large language models within production environments.
• Design prompting strategies, retrieval approaches, tool-calling frameworks, and multi-step workflows.
• Build AI-powered capabilities including conversational assistants, document intelligence, semantic search, and workflow automation.
• Evaluate models, architectures, and AI platforms for performance, reliability, business fit, and cost efficiency.
• Establish monitoring and evaluation methodologies for production AI solutions.

Engineering Excellence

• Leverage AI-assisted development tools to improve engineering productivity while maintaining high code quality standards.
• Stay current with emerging AI frameworks, tooling, and industry best practices.
• Implement CI/CD, testing, observability, security, and production monitoring practices.
• Support reliable deployment and ongoing optimisation of AI-enabled applications.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• 8+ years of professional software engineering experience.
• Strong full-stack development experience across frontend and backend technologies.
• Proven experience building and maintaining RESTful APIs and backend services.
• Experience working with data-intensive applications and enterprise integrations.
• Hands-on experience developing AI agents, autonomous workflows, or LLM-powered applications.
• Strong understanding of LLMs, RAG, tool usage, orchestration frameworks, and AI application architectures.
• Experience integrating AI systems with APIs, databases, enterprise platforms, and third-party services.
• Frontend experience with React, Angular, Next.js, or similar frameworks.
• Experience using AI-assisted development tools within software delivery workflows.
• Experience designing agent memory, retrieval, context, evaluation, or reasoning systems.
• Strong understanding of cloud-native application development and deployment.

Preferred Qualifications

• Experience with modern data-platform or lakehouse architectures.
• Experience deploying applications on public cloud platforms.
• Experience with CI/CD pipelines, infrastructure automation, and cloud operations.
• Experience working within agile software delivery environments.
• Experience building highly scalable enterprise applications.

What Success Looks Like

• Demonstrates an AI-first engineering mindset focused on intelligent workflows rather than simple AI integrations.
• Comfortable operating across software engineering, AI, data, and infrastructure domains.
• Balances innovation with reliability, observability, governance, and security.
• Strong product mindset with a focus on measurable business outcomes.
• Effective communicator who collaborates with technical and non-technical stakeholders.
• Thrives in fast-moving environments where requirements and technologies evolve rapidly.

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