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Conversion Rate Optimization (CRO) Manager

London – Hybrid (2 days per month)

Competitive salary plus benefits

This is an opportunity to lead customer experience optimisation at scale, shaping digital journeys that directly impact revenue and customer satisfaction across multiple markets. You will take ownership of experimentation strategy and deliver measurable commercial outcomes in a data-led environment that values innovation and continuous improvement.

The Company

They are a well-established organisation operating in a digital-first, customer-centric industry, serving millions of customers across international markets. With a strong reputation for service excellence and a focus on continuous innovation, they invest heavily in technology, data, and customer experience. Their collaborative culture brings together teams across product, marketing, and engineering to drive meaningful change. They offer a flexible working model designed to support both performance and wellbeing.

The Role

You will lead the end-to-end customer experience optimisation strategy, owning performance across digital journeys and driving improvements through experimentation and insight.

• Own and optimise the full digital customer journey with accountability for conversion, revenue, and customer experience outcomes
• Develop and execute a data-led experimentation and CRO strategy to improve conversion, retention, and ancillary performance
• Use analytics, user research, and behavioural data to identify opportunities and prioritise impactful changes
• Partner with engineering, UX, and commercial teams to deliver A B testing and scalable optimisation initiatives
• Define and track key CX performance metrics, reporting insights and recommendations to senior stakeholders
• Champion a culture of experimentation, leveraging emerging technologies and AI to enhance performance
• Collaborate with cross-functional teams across multiple locations to deliver a unified optimisation roadmap

Your Skills and Experience

• Strong commercial experience in customer experience optimisation, CRO, or digital product environments
• Proven ability to deliver data-driven experimentation strategies that impact conversion and revenue
• Expertise in analytics and testing tools such as Google Analytics, Tableau, Optimizely, VWO, or similar
• Solid understanding of front-end implementation, tracking, and experimentation frameworks
• Knowledge of UX and personalisation principles with a focus on customer-centric design
• Experience managing multiple initiatives and stakeholders in a fast-paced environment
• Strong communication skills with the ability to translate insight into actionable strategy

What They Offer

• Competitive salary and benefits package
• Flexible, remote-first working model with limited office requirements
• Opportunity to work on high-impact projects across multiple brands and markets
• A collaborative and innovative environment with strong career progression opportunities
• Exposure to advanced experimentation, personalisation, and AI-led optimisation

How to Apply

If you are keen to drive customer experience optimisation and deliver measurable impact, please apply with your CV to learn more.

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LEAD DATA ENGINEER (Azure)

Uo to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK’s most recognisable cultural organisations as they embark on a major data transformation programme. You’ll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.

THE COMPANY:

Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.

THE ROLE:

You will take ownership of designing, building and evolving the organisation’s modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
Key responsibilities include:

• Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
• Building scalable and reliable data pipelines using a Medallion architecture approach
• Designing robust data models and semantic layers across multiple business domains
• Establishing engineering best practices, governance frameworks and development standards
• Managing and developing a small team of data engineers
• Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
• Enabling high-quality downstream reporting, analytics and Power BI semantic models
• Supporting long-term data innovation and AI initiatives across the organisation

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong expertise in dimensional data modelling and semantic layer design
• Hands-on experience with Microsoft Fabric and/or Azure Data Services
• Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
• Strong stakeholder management and communication skills
• Previous experience managing, mentoring or leading teams, with at least two direct reports

THE BENEFITS:

You will receive a salary up to £75,000 dependent on experience, alongside a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Data Operations Manager

up to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK’s most innovative insurance brands, where you can take ownership of Data Operations across a large-scale, business-critical data environment supporting analytics, machine learning, engineering and architecture teams.

THE COMPANY:

This insurance company is continuing to invest heavily in its data platforms, cloud technologies and data-driven customer experience and are now looking for a Data Operations Manager to take ownership and ensure the organisation’s data platforms remain reliable, scalable and compliant.

THE ROLE:

This role is highly stakeholder-facing and focuses on operational leadership rather than hands-on engineering. You’ll oversee third-party suppliers and offshore teams, manage incidents and service performance, drive governance initiatives and ensure data products are delivered effectively across the business.
Key responsibilities include:

• Leading Data Operations across a complex cloud and data ecosystem
• Managing suppliers, offshore teams and support resources
• Driving incident management, service improvements and SLA performance
• Ensuring environments remain scalable, compliant and fit for purpose
• Overseeing data pipeline reliability and operational performance
• Supporting deployment, release and change management processes
• Providing regular operational reporting and KPI tracking to senior stakeholders
• Working closely with Data Engineering, Machine Learning and Architecture teams to ensure seamless data delivery
• Maintaining governance, audit and regulatory compliance standards
• Supporting the migration and evolution of large-scale data platforms across GCP and AWS environments

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data Operations, Data Engineering Operations or Data Platform Management
• Leading technical teams, suppliers and offshore resources
• Incident management, service delivery and operational governance
• Stakeholder management across both business and technology functions
• Delivering technology and data change programmes within complex organisations
• Managing data environments, deployments and release processes
• Building operational frameworks, reporting packs and performance metrics
• Working within regulated industries such as Insurance, Financial Services, Healthcare or similar
• Experience with GCP and large-scale SQL Server environments
• Exposure to Spark, Kafka, SSIS and Power BI
• Experience supporting Machine Learning environments and data products

THE BENEFITS:

You will receive a competitive salary up to £75,000 depending on experience, alongside an outstanding benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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£85,000 + Benefits
London (4 days per week in the office)
This is a fantastic opportunity to join a rapidly scaling SaaS business where you can build and lead the Data Engineering function from the ground up whilst remaining hands-on with cutting-edge data and AI initiatives.

THE COMPANY:

The business works with major enterprise clients across Financial Services, Retail, Telecommunications, Travel and Healthcare. This is an exciting opportunity to join at a pivotal stage of growth and have a genuine impact on the future direction of the business.

THE ROLE:

You will take ownership of the Data Engineering function, driving technical excellence, engineering best practice and team growth whilst leading the development of scalable, cloud-based data solutions.
Key responsibilities include:

• Building and leading the Data Engineering function, defining standards, processes and ways of working.
• Managing, mentoring and developing a growing team of Data Engineers.
• Designing and delivering scalable ETL/ELT pipelines across operational, analytical and AI data environments.
• Owning data architecture, modelling strategy, CI/CD processes and deployment governance.
• Driving adoption of AI-enabled engineering practices to improve development efficiency, quality and scalability.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Previous experience leading and line-managing Data Engineering teams.
• Advanced SQL and Python development skills.
• Consultancy experience
• Building and optimising ETL/ELT pipelines within modern cloud environments.
• Data modelling, dimensional modelling and modern data architecture principles.
• CI/CD, Git, DevOps practices and cloud platforms including Azure, AWS and/or GCP.

THE BENEFITS:

You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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Azure Cloud Engineer

Up to £60,000
Oxfordshire (Hybrid – 1 day per week)

This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.

THE COMPANY:

This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.

THE ROLE:

You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:

• Designing, building, and maintaining Azure cloud infrastructure
• Acting as a subject matter expert, providing architectural guidance and solution design
• Supporting internal consultants with cloud solutioning and infrastructure recommendations
• Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
• Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
• Driving a code-first approach with Infrastructure-as-Code and automation
• Leading on cloud integrations, including Azure Integration Services
• Supporting governance, security, compliance, backup, and recovery processes
• Contributing to AI-driven and innovation-focused internal projects
• Mentoring junior engineers and setting technical standards across the team

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on Microsoft Azure engineering and architecture
• Designing scalable, secure cloud solutions end-to-end
• Infrastructure-as-Code (ideally Bicep or Terraform)
• Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
• Cloud automation using PowerShell and Azure CLI
• Strong stakeholder engagement and communication skills
• Security, governance, and compliance within cloud environments

THE BENEFITS:

You will receive a salary up to £60,000 depending on experience, along with a comprehensive benefits package

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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Senior Decision Scientist
Brighton (Hybrid) | £90,000 Base Salary
This is an exciting opportunity to join a growing Data & Analytics function at a business that is placing data and AI at the heart of its strategy. As a Senior Decision Scientist, you’ll help shape how data is used to drive commercial decisions, improve product experiences, and influence long-term business outcomes. You’ll join at a pivotal time as the organisation evolves its data capability and scales a high-impact team.
The Company
They are a fast-growing, product-led technology business operating internationally, with data and AI playing a central role in their future growth. The organisation has invested heavily in building strong data foundations, creating a mature analytics environment and fostering a culture of experimentation and innovation.
As they continue to scale, they are transforming their data function from a centralised model into embedded product teams, creating greater proximity between data professionals and business decision-making.
The Role
As a Senior Decision Scientist, you will work closely with Product Managers, Engineers, Designers and senior stakeholders to identify opportunities, influence strategy and deliver measurable business impact.
Key responsibilities include:

• Understanding complex business and product challenges through data analysis.
• Identifying, sizing and prioritising commercial opportunities.
• Conducting product analytics to improve customer experiences and business performance.
• Defining success metrics and building frameworks for measuring impact.
• Designing, implementing and analysing A/B tests and experimentation programmes.
• Supporting product teams with insight-driven decision making.
• Delivering data storytelling and recommendations to senior stakeholders.
• Collaborating across analytics, data engineering and data science disciplines.
• Leveraging AI tools and emerging technologies to enhance analysis and product development.

Projects may include recommendation engines, customer personalisation, checkout optimisation, fraud reduction, financial process improvement, customer segmentation and AI-powered product features.
Your Skills & Experience

• Strong experience turning data into commercial recommendations and business outcomes.
• Experience working within product, digital, e-commerce or technology environments.
• Strong analytical capability, including SQL and relevant analytical tooling.
• Experience designing and evaluating experiments, including A/B testing and statistical analysis.
• Commercially minded with the ability to balance rigour and pace.
• Comfortable working through ambiguity and solving open-ended business problems.
• Interest in AI, machine learning and emerging technologies.
• Ability to communicate complex findings clearly to both technical and non-technical audiences.
• Experience with product analytics, opportunity sizing and performance measurement.

What They Offer

• Significant investment in Data & AI capabilities.
• Opportunity to help shape a growing team expanding from 10 to approximately 16 people.
• Dedicated learning and development support.
• Long-term career progression as the Data & Analytics function continues to scale.
• Exposure to cutting-edge AI, experimentation and product development initiatives.
• Collaborative, high-performing and commercially focused culture.

How to Apply
If you’re passionate about using data to influence product strategy, solve complex business challenges and deliver measurable impact, please apply today to learn more about this Senior Decision Scientist

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Head of AI
Remote (East Coast & Midwest USA) | $250,000 – $325,000 base salary + equity
This is a rare opportunity to shape the AI strategy of a high-growth SaaS business at a pivotal stage of its journey. As Head of AI, you will take ownership of a market-leading document intelligence platform, lead a talented AI and machine learning team, and influence product direction at both technical and executive levels.
The Company
They are a rapidly growing, investor-backed software company transforming how complex financial and regulatory data is processed and managed. Their AI-powered platform automates the extraction, interpretation, and delivery of information from highly unstructured documents, helping clients replace manual workflows with scalable digital solutions.
With strong market traction and continued investment in AI innovation, they are expanding their machine learning capability to further strengthen their product offering and develop new intelligent solutions for their customers.
The Role
As Head of AI, you will combine technical leadership with strategic ownership, acting as a hands-on leader for a growing AI and machine learning function.
Responsibilities include:

• Define and execute the organisation’s AI and machine learning strategy
• Lead, mentor, and develop a team of Machine Learning Engineers, MLOps Engineers, and Data Engineers
• Improve and scale a document intelligence platform focused on extracting structured outputs from complex PDFs and financial documents
• Drive best practices across model development, deployment, monitoring, and evaluation
• Work closely with Product, Engineering, and executive stakeholders to align AI initiatives with business goals
• Evaluate and implement modern AI approaches, including LLMs, agentic AI frameworks, RAG systems, embeddings, and proprietary ML models where appropriate
• Establish robust processes that balance innovation, model accuracy, operational efficiency, and reliability
• Contribute technically through architectural decisions, model reviews, experimentation, and proof-of-concept development
• Help shape future AI products and act as a strategic advisor to senior leadership

Your Skills & Experience

• Strong commercial experience building and deploying machine learning products within a SaaS environment
• Deep expertise in NLP, document intelligence, and transforming unstructured or semi-structured documents into structured data
• Experience developing solutions involving OCR, document parsing, classification, entity extraction, layout understanding, and document-to-JSON transformation
• Strong Python skills and experience with modern machine learning frameworks such as PyTorch, Hugging Face, and scikit-learn
• Experience deploying production ML systems using cloud-native technologies, containerisation, and orchestration platforms
• Proven ability to lead technical teams while remaining hands-on when required
• Strong understanding of the complete machine learning lifecycle from data preparation through deployment and monitoring
• Experience communicating technical concepts to both technical and non-technical audiences
• Background in financial documents, compliance workflows, tax technology, or regulated environments would be advantageous

What They Offer

• Base salary of $250,000 – $325,000
• Meaningful equity package
• Fully remote working within approved East Coast and Midwest locations
• Comprehensive healthcare and retirement benefits
• Generous holiday allowance and parental leave
• Significant autonomy and influence over AI strategy and technology decisions
• Opportunity to build and scale a high-performing AI team
• Clear progression into a key leadership role within a rapidly growing organisation

How to Apply
If you are an experienced AI leader with a passion for building production-grade machine learning systems and shaping the future of intelligent products, apply today to learn more about this opportunity.

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Chief Scientist – Frontier AI for Scientific Discovery

Location: Remote

Travel: Occasional global travel for team retreats and premier technical conferences

About the Role

Are you a deep AI research leader motivated by mission over margin?

We are recruiting the Chief Scientist for a pioneering non-profit research organization using state-of-the-art AI to decode non-human communication and accelerate scientific discovery.

Reporting directly to the CEO and serving as a key executive team member, you will own the vision, strategy, and leadership of an interdisciplinary research organization. You will bridge the gap between frontier AI foundation models and natural sciences, translating cutting-edge ML research into practical, open-source tools.

If you bring world-class AI expertise, high scientific rigor, and a humble, collaborative mindset, this is a unique chance to shift humanity’s relationship with the natural world.

What You’ll Do

• Lead Scientific Strategy: Steward the multi-year scientific roadmap, aligning large-scale AI research (foundation models, bioacoustics, ML) with biological hypotheses.
• Lead & Build an Interdisciplinary Team: Direct and mentor a team of ~18 brilliant researchers, engineers, postdocs, and contractors across Foundational Modeling, Decoding, and Engineering.
• Drive Strategic Alignment: Partner with executive leadership to integrate research output with organizational strategy, donor engagement, and mission objectives.
• Manage Budget & Operations: Hold full authority over the research function budget and lead staffing design and recruitment.
• External Voice & Partnerships: Represent the organization at top global conferences, cultivate academic/non-profit research partnerships, and oversee a paid postdoc/intern fellowship program.

Must-Haves

• PhD in Computer Science, Machine Learning, Electrical Engineering, Computational Biology, or a closely related field.
• 5+ Years of AI/ML Depth: Substantial experience in an AI research lab or deploying large-scale AI systems (e.g., foundation model development, large-scale training infrastructure).
• Proven Research Leadership: Demonstrated track record of leading research teams, managing senior AI researchers, and setting strategic direction.
• External Credibility & Network: Strong academic/industry reputation with an established network to help recruit top-tier ML talent.
• Mission-Driven Mindset: High emotional intelligence, low ego (“ego-to-talent ratio”), coachable, and excited about working in an “AI for Good” or non-profit research context.

Nice-to-Haves

• Prior experience in Big Tech AI labs (e.g., DeepMind, FAIR, Google Research) or high-growth tech environments.
• Research familiarity with audio AI, speech recognition, computer vision, or bioacoustics.
• Experience applying AI to natural science or field-biology domains.

Why You’ll Love Working Here

• Impact: Work on ground-breaking, fundamental AI problems that directly benefit scientific understanding of the planet.
• Culture: A highly collaborative, low-ego environment grounded in kindness, open-source knowledge sharing, and intellectual honesty.
• Compensation & Benefits: * Base Salary: $300,000 – $350,000 USD
• Perks: Premium healthcare options, home office stipends, and all travel fully paid

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