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Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You’ll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role

• Own and develop the MLOps infrastructure supporting AI services.
• Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
• Deploy and manage ML workloads on Kubernetes and cloud platforms.
• Implement CI/CD, observability, and monitoring across production systems.
• Develop infrastructure using Terraform, Bicep, or similar IaC tools.
• Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.

Your Skills & Experience

• Strong Python software engineering skills.
• Commercial MLOps experience in production environments.
• Hands-on Kubernetes expertise.
• Experience with workflow orchestration platforms.
• Infrastructure as Code and CI/CD experience.
• Understanding of production ML, NLP, or AI systems.

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Data Operations Manager
London (Hybrid) | Up to £55,000 + Benefits

The Company
They are a well-established and fast-growing insights organisation with an international presence and a strong reputation for delivering high-quality data-driven projects. Their teams combine research expertise, technology, and operational excellence to help clients make informed business decisions. With significant investment in automation and modern data infrastructure, they offer an environment where innovation and continuous improvement are actively encouraged.

The Role
You will be responsible for managing and improving operational delivery across a range of quantitative research and data programmes.
Key responsibilities include:

• Delivering survey scripting, data processing, reporting operations, and workflow automation
• Designing, maintaining, and improving operational tools and automated processes
• Managing delivery priorities and resource allocation across multiple projects
• Identifying and mitigating delivery risks before they impact project outcomes
• Implementing and strengthening quality assurance and governance processes
• Acting as an escalation point for complex technical delivery challenges
• Working closely with stakeholders to communicate technical issues in a clear and commercially focused way
• Supporting the continuous improvement of operational frameworks, automation, and delivery standards

Your Skills & Experience

• Strong experience within market research, research operations, data processing, or a similar environment
• Hands-on survey scripting experience using platforms such as Decipher, Qualtrics, Forsta, Dimensions, or equivalent
• Experience managing quantitative data workflows and reporting outputs
• Strong data cleaning, transformation, and data management capabilities
• Knowledge of automation workflows, APIs, and process optimisation
• Exposure to tools such as SPSS, Q, DisplayR, or similar analytical platforms
• Excellent stakeholder management and communication skills
• Commercial awareness and the ability to balance quality, timelines, and operational efficiency
• Experience with Python, SQL, JavaScript, or other automation technologies is highly desirable

How to Apply
If you are interested in this Data Operations Manager opportunity, apply now to discuss the role in more detail.

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A Senior Pricing Analyst opportunity within a data-led business where pricing decisions have a direct impact on commercial performance. You’ll work across pricing, analytics, and business teams to improve segmentation, monitor performance, and support pricing strategy.

The Company
They are a customer-focused organisation investing in their pricing and analytics capability. Data plays a key role in business decisions, with teams working closely together to drive performance and improve customer outcomes. They offer a collaborative environment with opportunities to develop technical and commercial skills.

The Role
You will support the development and delivery of pricing strategies across a large customer portfolio.
Responsibilities include:

• Developing and refining pricing and customer segmentation models
• Analysing performance data to identify trends, risks, and opportunities
• Monitoring pricing performance and portfolio outcomes
• Producing analysis to support pricing decisions and business strategy
• Working with stakeholders across commercial, product, and analytics teams
• Presenting insights and recommendations to both technical and non-technical audiences

Your Skills & Experience

• SQL/Python and experience in pricing, commercial analytics, revenue management, or a related analytical role
• Background in insurance, telecommunications, gambling, travel, or another consumer-focused industry
• Strong analytical and problem-solving skills
• Ability to communicate insights clearly to stakeholders
• Experience working with customer, product, or pricing data

What They Offer

• Salary up to £55,000
• Annual bonus
• Hybrid working

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Director of Analytics

Location: 100% Remote within the United States
Compensation: Up to $220,000 base salary + 15% annual bonus
Work Authorization: Must be a U.S. Citizen or Green Card holder. Sponsorship is not available.

About the Opportunity

A growing organization is seeking a Director of Analytics to lead the strategy, architecture, and delivery of a highly visible enterprise analytics platform. This is a hands-on leadership role for someone who has personally built and scaled modern data and analytics solutions while leading high-performing teams.

You’ll oversee a team of Analytics Engineers responsible for the full data lifecycle, including data ingestion, warehousing, semantic modeling, BI enablement, and customer-facing analytics solutions. This role offers the opportunity to shape the future of a rapidly evolving analytics function and influence business decisions at an executive level.

What You’ll Do

• Define and execute the analytics platform strategy and long-term roadmap.
• Lead the design and delivery of scalable analytics products, reporting solutions, and self-service data capabilities.
• Oversee modern cloud-based data architecture, data modeling, and analytics engineering best practices.
• Partner with executive stakeholders to translate business objectives into data-driven solutions.
• Build, mentor, and grow a high-performing analytics engineering team.
• Establish standards around data governance, quality, observability, security, and operational excellence.
• Drive adoption of modern development practices including CI/CD, version control, testing, and infrastructure automation.

What We’re Looking For

Leadership Experience

• 10+ years of experience in Analytics Engineering, Data Engineering, or related fields.
• 5+ years leading and developing analytics or data engineering teams.
• Proven success delivering enterprise-scale analytics products and data platforms.
• Experience hiring, mentoring, and growing technical teams.

Technical Expertise

• Deep experience with Snowflake and modern cloud data platforms.
• Strong knowledge of AWS, Azure, and/or GCP data services.
• Expertise with dbt, data modeling, semantic layers, and analytics engineering practices.
• Advanced SQL skills and strong proficiency with Python.
• Experience with modern BI tools such as Looker, Power BI, Tableau, or similar platforms.
• Familiarity with orchestration tools such as Airflow, Fivetran, Informatica, or equivalent technologies.
• Understanding of CI/CD, Git-based development workflows, and DevOps concepts.

Additional Preferred Experience

• Experience building customer-facing or embedded analytics solutions.
• Knowledge of data governance, security, and regulatory compliance frameworks.
• Exposure to technologies such as Docker, Kubernetes, Terraform, or similar infrastructure tools.
• Familiarity with AI/ML-enabled analytics products and data-driven decision platforms.

Why This Role?

This is an opportunity to join a company making significant investments in modernizing its analytics ecosystem. The successful candidate will have the ability to influence technical strategy, build a best-in-class analytics organization, and deliver high-impact data products that drive measurable business outcomes.

Schedule Expectations

• Most days begin around 8:00 AM Pacific Time.
• Occasional meetings may be scheduled as early as 6:00 AM Pacific Time to support distributed teams and business needs.

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Senior Pricing Analyst
London (Hybrid) | Up to £60,000

If you’re looking for a role where your analytical expertise can directly influence commercial performance, this is an excellent opportunity to join a highly data-driven organisation investing heavily in its pricing and analytics capabilities. You’ll work on complex pricing challenges, collaborate with senior stakeholders, and see the tangible impact of your work across the business.

The Company
They are a well-established consumer-focused organisation undergoing significant growth and transformation. Data, analytics, and innovation sit at the heart of their strategy, with substantial investment in pricing, technology, and decision-making capabilities. They foster a collaborative environment where new ideas are encouraged and analytical thinking is highly valued. This is an opportunity to join a team that is committed to continuous improvement and long-term development.

The Role
You will play a key role in developing and enhancing pricing strategies that drive business performance and support profitable growth.
Responsibilities include:

• Designing and improving pricing segmentation across customer groups and products
• Analysing portfolio and segment performance to identify commercial opportunities and emerging risks
• Building and maintaining monitoring frameworks to assess pricing effectiveness
• Delivering actionable insights and recommendations to support strategic decision-making
• Collaborating with underwriting, product, commercial, and data teams to optimise pricing performance
• Supporting testing, experimentation, and continuous enhancement of pricing methodologies
• Communicating complex analytical findings clearly to both technical and non-technical stakeholders

Your Skills & Experience

• Strong commercial experience in pricing, modelling, analytics, or quantitative analysis
• Understanding of pricing principles, segmentation methodologies, and performance monitoring
• Proficiency in analytical and data tools such as Python, SQL, R, or SAS
• Ability to interpret complex datasets and translate findings into business recommendations
• Strong stakeholder management and communication skills
• A proactive and inquisitive approach to problem-solving
• Experience working within a fast-paced, data-led environment

How to Apply
If you’re interested in this Senior Pricing Analyst opportunity, apply today to discuss how your experience aligns with the role and learn more about the next steps.

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Senior Data Engineer

Amsterdam | €80,000+ Bonus + Benefits

This is an exciting opportunity for a Senior Data Engineer to join a well-established retailer operating at scale across multiple markets. You’ll play a key role in shaping a modern data platform, enabling data-driven decision-making, and delivering impactful solutions that support both customer and commercial outcomes.

The Company

They are a leading retail business with a strong digital presence and a commitment to innovation. Operating in a fast-paced environment, they leverage data to optimise operations, enhance customer experiences, and support strategic growth. The organisation is investing heavily in its data capabilities, making this an excellent time to join and contribute to a growing data function.

The Role

As a Senior Data Engineer, you will help design, build, and optimise scalable data solutions across the business.

Responsibilities include:

• Designing and developing robust data pipelines for batch and real-time data processing
• Building and maintaining cloud-based data platforms and data warehouses
• Supporting the delivery of analytics, reporting, and machine learning initiatives
• Improving data quality, governance, monitoring, and observability across the platform
• Collaborating with Data Analysts, Data Scientists, Product teams, and business stakeholders
• Driving best practice in data engineering, architecture, and platform performance
• Contributing to technical strategy and mentoring colleagues within the data team
• Identifying opportunities to improve efficiency through automation and scalable engineering solutions

Your Skills & Experience

• Strong commercial experience as a Data Engineer or Senior Data Engineer
• Advanced SQL skills and strong capability in Python
• Experience building and maintaining modern cloud data platforms, ideally on Azure, AWS, or GCP
• Expertise in data modelling, ETL/ELT development, and data warehousing concepts
• Experience with orchestration and workflow tools such as Airflow or similar technologies
• Knowledge of modern data architecture principles and scalable distributed systems
• Experience working with large, complex datasets in a commercial environment
• Strong stakeholder management and communication skills
• Ability to work collaboratively across technical and non-technical teams
• Passion for data, continuous improvement, and delivering business value

What They Offer

• Salary of €80,000 depending on experience
• Performance-related bonus
• Competitive pension contribution
• Hybrid working model based in Amsterdam
• Generous annual leave allowance
• Learning and development budget
• Opportunity to influence a growing data platform and technical roadmap
• Clear career progression within a mature and expanding data function
• Supportive and collaborative working environment

How to Apply

If you’re a Senior Data Engineer looking for an opportunity to build scalable data solutions and have a real impact within a data-driven retail business in Amsterdam, please apply with your CV for further information.

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