data & AI
Diversity Report
DIVERSITY GUIDES 2022
An in-depth look into diversity within Data & AI, we have been carrying out primary research for a number of years to create annual diversity guides.
Download our previous editions, which have given us unrivalled insight into where the industry currently stands in its push for a more representative workforce.
They are here to highlight where the industry can improve, how it can improve and to help make those improvements.
USA DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
EU DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
UK DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
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Bloomreach Contractor
London
£450 - £450
+ Digital Analytics
ContractLondon
To Apply for this Job Click Here
Contract Bloomreach CRM Consultant / Campaign Specialist
Overview
A boutique consultancy founded by three partners is seeking a hands-on Bloomreach CRM Consultant / Campaign Specialist to support increasing client demand across multiple projects. The business has an established partnership with Bloomreach and requires an experienced contractor who can quickly add value within client accounts, particularly around customer journey creation and campaign execution.
The Role
You will work closely with the founders and client teams to help build, optimise and manage customer journeys within the Bloomreach platform. This is a hands-on delivery role, requiring strong technical knowledge of how customer journeys, scenarios and campaign automation are configured and executed.
The successful contractor will be responsible for setting up and managing push, email and automated customer journeys, ensuring campaigns are effectively designed, implemented and monitored.
Key Responsibilities
- Build and optimise customer journeys and scenarios within Bloomreach.
- Configure and manage automated email and push notification campaigns.
- Work extensively within Bloomreach Scenario Builder.
- Understand and utilise aggregates, customer data and segmentation capabilities.
- Support client projects from design through to deployment.
- Collaborate directly with consultancy founders and client stakeholders.
- Potentially participate in client-facing meetings, providing best practice guidance and platform expertise.
Required Experience
- Proven commercial experience using Bloomreach Engagement.
- Strong hands-on knowledge of Scenario Builder and journey orchestration.
- Experience building email and push notification journeys.
- Good understanding of customer data, segmentation, triggers and aggregates.
- Ability to independently deliver campaigns and automated journeys.
- Previous experience in a client-facing consulting or agency environment.
- Strong stakeholder communication skills.
Clients
Initial support will focus on:
- Funky Pigeon
- Butlin’s
Contract Details
- Contract Length: Initial 2-month engagement
- Commitment: 1-2 days per week
- Location: Fully remote
- Rate- £450 day all-inclusive
- Interview Process: One-stage interview
To Apply for this Job Click Here
SRE Staff
Paris
€90000 - €110000
+ Data Engineering
PermanentParis, Île-de-France
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SRE Staff
Paris (Hybride) | 90 000 € à 110 000 € + Bonus trimestriel
Vous souhaitez rejoindre une entreprise technologique en forte croissance où les enjeux d’infrastructure sont au cœur de la stratégie produit ? Ce poste de Staff Site Reliability Engineer offre l’opportunité de travailler sur une plateforme à fort trafic, tout en jouant un rôle clé dans les décisions techniques, l’architecture et l’accompagnement des équipes.
L’Entreprise
Cette entreprise technologique connaît une croissance soutenue et investit fortement dans la scalabilité et la fiabilité de sa plateforme. Son environnement technique traite un volume important de requêtes chaque jour et fait face à des défis croissants liés à la performance, à la disponibilité des services et à l’optimisation des coûts cloud.
Dans le cadre du renforcement de son équipe Infrastructure, elle recrute plusieurs profils seniors afin d’accompagner ses ambitions de croissance et l’évolution de sa plateforme.
Le Poste
En tant que Staff Site Reliability Engineer, vous serez un référent technique au sein de l’équipe Infrastructure. Vous combinerez expertise technique, accompagnement des équipes et influence sur les orientations stratégiques de la plateforme.
Vos principales responsabilités incluront :
- Concevoir et faire évoluer une infrastructure cloud performante, scalable et résiliente sur AWS
- Améliorer la disponibilité, la fiabilité et la performance des systèmes critiques
- Travailler étroitement avec les équipes Engineering pour garantir la stabilité et la qualité des plateformes en production
- Définir et contribuer à la roadmap technique de l’environnement infrastructure
- Participer aux choix d’architecture et aux projets de transformation de la plateforme
- Développer et optimiser les pipelines CI/CD ainsi que les processus d’automatisation
- Accompagner le déploiement et l’évolution des environnements Kubernetes et Terraform
- Piloter des initiatives FinOps afin d’optimiser les coûts cloud et l’efficacité opérationnelle
- Mentoriser et accompagner les ingénieurs SRE et Infrastructure
- Participer à une astreinte rémunérée permettant de garantir la disponibilité des services
Le poste s’articule autour d’environ 60 % de contribution technique directe et 40 % de leadership technique, mentoring et architecture.
Vos Compétences & Expérience
- Solide expérience en Site Reliability Engineering
- Expertise reconnue sur AWS
- Expérience de plateformes à fort trafic ou de systèmes distribués à grande échelle
- Bonne maîtrise de Kubernetes et Terraform
- Expérience dans la mise en place et l’amélioration de pipelines CI/CD
- Capacité à définir des orientations techniques et à influencer les décisions d’architecture
- Expérience dans l’accompagnement et le mentoring d’ingénieurs
- Connaissances des pratiques d’observabilité, de monitoring et de gestion d’incidents
- Sensibilité aux problématiques de FinOps et d’optimisation des coûts cloud
- Excellentes compétences en collaboration avec les équipes techniques et les parties prenantes
Ce Qu’ils Offrent
- Salaire entre 90 000 € et 110 000 €
- Bonus trimestriel
- Organisation hybride avec présence régulière au siège parisien
- Astreintes rémunérées avec compensation complémentaire
- Forte autonomie et impact direct sur les choix techniques
- Perspectives d’évolution vers des responsabilités techniques stratégiques
- Environnement moderne avec des enjeux de scalabilité et de performance à grande échelle
Comment Postuler
Si vous souhaitez contribuer à la construction d’une plateforme à fort trafic tout en combinant expertise technique, architecture et leadership, n’hésitez pas à postuler pour en savoir plus sur cette opportunité de Staff Site Reliability Engineer à Paris.
To Apply for this Job Click Here
Medical Imaging Data Engineer
London
£650 - £700
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Senior Data Engineer
London | £650-£700 Inside IR35
This is an opportunity to join a highly technical engineering team delivering data infrastructure that supports advanced AI, machine learning, and imaging applications. You will work on large-scale cloud-based data platforms, helping to build and optimise production systems that enable complex data processing and analytics workflows.
The Company
They are a global organisation investing heavily in modern data platforms, AI, and cloud technologies to support innovative research and technology initiatives. Their engineering teams work on complex technical challenges involving large-scale datasets, machine learning infrastructure, and cloud-native platforms. They are looking for a Senior Data Engineer to join a collaborative team focused on delivering high-quality, production-ready solutions.
The Role and Deliverables
- Design, build, operate, and automate data pipelines supporting large-scale image and structured datasets.
- Develop scalable data storage, transfer, and transformation solutions on Google Cloud Platform.
- Build and maintain production-grade Python applications and data engineering frameworks.
- Design processes to ingest, harmonise, validate, and monitor complex datasets from multiple sources.
- Work closely with software engineers and machine learning teams to deliver analysis-ready datasets and support AI workloads.
- Contribute to cloud architecture, data quality, monitoring, and operational excellence across multiple engineering projects.
Your Skills & Experience
- Strong commercial experience building production data engineering solutions using Python and SQL.
- Experience designing and maintaining ETL/ELT pipelines and scalable data platforms.
- Strong experience with Google Cloud Platform, including data storage, processing, and orchestration services.
- Capability in SQL schema design, data modelling, and working with complex data structures.
- Experience handling large datasets in cloud environments and delivering reliable, well-engineered solutions.
- Exposure to image data, computer vision, machine learning infrastructure, or related data-intensive workloads is highly desirable.
- Experience with CI/CD, DevOps practices, and cloud-native engineering approaches.
- Comfortable working independently, taking ownership of technical delivery, and operating in environments with evolving requirements.
- Familiarity with AI-assisted software development tools or agentic engineering approaches would be advantageous.
How to Apply
If you’re an experienced Senior Data Engineer with strong Python, SQL, GCP, and data platform expertise, and you’re interested in working on cutting-edge AI and data engineering projects, please apply today.
To Apply for this Job Click Here
Data Scientist/AI Engineer
Amsterdam
€70000 - €78000
+ Data Science & AI
PermanentAmsterdam, North Holland
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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.
To Apply for this Job Click Here
Head of Data Engineering
Amsterdam
€100000 - €130000
+ Data Engineering
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
Senior Data Engineer | Computer Vision
London
£600 - £782
+ Computer Vision
ContractLondon
To Apply for this Job Click Here
Senior Data Engineer
£782/day (Inside IR35) | 12-Month Contract | London (2 Days Onsite)
Overview
Clinical Platforms team is seeking a Senior Data Engineer to help build and maintain the data and cloud infrastructure that powers large-scale medical imaging and AI/ML initiatives across the business.
This is a highly technical engineering role sitting at the intersection of Data Engineering, Cloud Engineering, Machine Learning Infrastructure and Computer Vision. You’ll be responsible for designing, building and supporting production-grade data platforms that enable researchers and scientists to work with complex imaging datasets and AI-driven workflows.
The team is looking for a hands-on engineer with strong Python, SQL and Google Cloud Platform (GCP) experience who can take ownership of technical solutions from design through to production.
What You’ll Be Doing
- Designing and building scalable data pipelines and cloud-based data platforms
- Developing and maintaining data infrastructure supporting medical imaging and AI/ML workloads
- Building ETL/ELT pipelines and data integration frameworks
- Managing large-scale datasets across cloud environments
- Supporting infrastructure used to deploy and run machine learning and computer vision solutions
- Designing data models and database schemas for complex datasets
- Monitoring, troubleshooting and optimising production systems
- Collaborating with engineers, researchers and data scientists across multiple projects
Key Skills & Experience
Essential
- Strong commercial experience with Python development
- Advanced SQL and data modelling expertise
- Strong Google Cloud Platform (GCP) experience
- Experience designing and delivering production-grade data platforms
- Strong understanding of systems architecture and cloud infrastructure
- Experience building end-to-end data engineering solutions
- Proven track record delivering engineering projects into production
Highly Desirable
- Computer Vision or Image Processing experience
- Exposure to Machine Learning platforms and infrastructure
- Experience working with image datasets at scale
- PyTorch, OpenCV, NumPy or related technologies
- BigQuery and wider GCP ecosystem experience
- Familiarity with AI-assisted development tools such as Cursor, Claude Code or GitHub Copilot
Nice to Have
- Medical imaging experience
- DICOM or PACS exposure
- Healthcare, biotech or pharmaceutical industry experience
Ideal Background
We’re open to candidates from a variety of backgrounds, including:
- Senior Data Engineers
- Data Platform Engineers
- Machine Learning Engineers
- ML Platform Engineers
- Computer Vision Engineers
- AI Engineers
- Software Engineers with strong cloud and data engineering experience
The key requirement is strong, hands-on commercial engineering experience and the ability to design, build and support complex production systems.
Why Join?
- Work on cutting-edge AI and medical imaging initiatives
- Join a highly technical engineering team within GSK’s Clinical Platforms function
- Contribute to platforms supporting drug discovery and clinical research
- Opportunity to work across Data Engineering, ML Infrastructure and Computer Vision projects
- Long-term 12-month contract with strong extension potential
Contract Details
- Role: Senior Data Engineer
- Contract Length: 12 Months
- Rate: Up to £782/day
- IR35 Status: Inside IR35
- Location: London
- Working Pattern: 2 Days Onsite Per Week
If your background sits across Data Engineering, Cloud Platforms and Machine Learning infrastructure, I’d be happy to share further details.
To Apply for this Job Click Here
Senior ML Engineer
£550 - £600
+ Data Science & AI
ContractEngland
To Apply for this Job Click Here
Senior ML Engineer (LLM & GenAI)
UK Remote | Outside IR35
Day Rate: £550-£600 per day
6-Months
This is an opportunity to join an innovative healthcare technology business on a greenfield GenAI and LLM Engineering programme. You’ll play a key role in building production-grade AI systems that support clinical and research workflows, working on LLM observability, RAG pipelines, evaluation frameworks, and scalable ML platforms within a highly data-driven environment.
The Company
They are a fast-growing healthcare technology organisation using advanced machine learning, proprietary data, and AI-driven products to improve preventative healthcare and research outcomes. Their multidisciplinary teams work across machine learning, software engineering, clinical science, and product development to deliver innovative solutions at scale. Operating in a regulated environment, they are investing heavily in the next generation of GenAI capabilities and production ML infrastructure.
The Role and Deliverables
- Build and productionise LLM, GenAI, and RAG-based applications using proprietary healthcare and research datasets.
- Develop observability and monitoring frameworks covering prompts, inference quality, latency, cost, and model performance.
- Create robust evaluation frameworks combining automated scoring, LLM-as-a-judge approaches, and human feedback loops.
- Deliver production-ready RAG and agentic AI workflows with version control, testing, deployment, and rollback capabilities.
- Partner with MLOps, Data Science, and Research teams to ensure AI systems are scalable, reliable, and compliant.
- Contribute to AI platform strategy, including model serving architecture, infrastructure decisions, and GPU utilisation.
Your Skills & Experience
- Strong experience building and deploying production machine learning systems within healthcare, life sciences, biotech, pharma, or bioresearch environments.
- Hands-on experience developing LLM, GenAI, RAG, or agent-based applications.
- Strong Python engineering skills with experience using PyTorch and modern ML tooling.
- Experience with LangChain, LangGraph, LlamaIndex, DSPy, or similar LLM orchestration frameworks.
- Strong MLOps experience including MLflow, model versioning, experiment tracking, monitoring, and production deployment.
- Experience working with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or Databricks Vector Search.
- Cloud experience across AWS, Azure, or GCP, alongside containerisation and orchestration technologies including Docker and Kubernetes.
- Familiarity with Infrastructure as Code tools such as Terraform.
- Experience operating machine learning solutions within regulated or research-led environments.
How to Apply
If you have a proven track record delivering production LLM and GenAI solutions within healthcare, biotech, or research environments, please apply with your latest CV.
To Apply for this Job Click Here
ML Engineer
London
£600 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
ML Engineer
£600 to £650 per day
London
Inside IR35
Hybrid, 2 days per week in the office
This is an opportunity for an ML Engineer to work on high-scale, real-time machine learning systems, with a strong focus on deploying and operationalising models in live online environments. The role is mainly deployment focused, with additional involvement across machine learning, recommendation systems and LLMs.
The Company
They are a major digital organisation operating high-traffic online platforms, with machine learning playing an important role in the customer experience. Their teams are developing and deploying ML solutions across recommendations, ranking, pricing and product retrieval. This assignment sits within a specialist recommendations team working on live, production ML systems.
The Role and Deliverables
- Deploy and productionise machine learning models within live, online environments.
- Build and support real-time ML systems across recommendations, ranking and pricing.
- Develop MLOps processes to support reliable model deployment and operation.
- Work with ML technologies including TensorFlow, PyTorch and MLflow, with flexibility around the wider technology stack.
- Support LLMOps and the deployment of open-weight LLMs for product retrieval and data processing.
- Work alongside ML specialists to take models from development into scalable production environments.
Your Skills & Experience
- Strong ML experience with a clear focus on deploying ML models into production.
- Strong knowledge of real-time, online or high-throughput machine learning systems.
- Experience working with recommendation, ranking, retrieval or similar production ML systems.
- Hands-on capability with TensorFlow, PyTorch, MLflow or comparable ML tooling.
- Strong understanding of ML deployment, productionisation and operational ML infrastructure.
- Experience with LLMOps or deploying LLMs into production environments would be highly beneficial.
How to Apply
If you are an ML Engineer with strong production deployment experience and have worked with real-time machine learning systems, apply to find out more.
To Apply for this Job Click Here
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