Data Architect
Dallas / $170000 - $190000 annum
INFO
SALARY:
$170000 - $190000
LOCATION
Dallas
Permanent
Principal Data Architect
Location: Dallas
Work Model: Hybrid
Compensation: Up to 190K
The Opportunity
We are looking for a Principal Data Architect to help define the evolution of a large-scale enterprise data architecture-from understanding and documenting the current environment to designing and implementing the target state.
This is a highly influential, hands-on architecture role for someone who can operate across strategy and execution.
You will assess complex existing data ecosystems, identify gaps and constraints, define practical target-state architectures, and establish the reusable patterns, templates, and reference architectures that engineering teams will build upon.
This is not a role for an architect who only produces diagrams or slideware.
The successful candidate will be comfortable making detailed technical recommendations, validating architectural decisions, testing code and pipelines, and working directly with engineering teams to ensure that the architecture works in practice.
The role will help shape a modern data platform capable of supporting batch, near-real-time, and real-time data workloads, with increasing adoption of AI-driven capabilities including RAG, vector databases, and agentic AI.
A representative use case includes supporting highly time-sensitive and data-intensive business domains such as market risk, where data quality, latency, reliability, governance, and architectural scalability are critical.
What You'll Do
Assess the Current State
- Analyze and document existing enterprise data architectures, platforms, pipelines, integrations, and data flows.
- Establish a clear baseline understanding of current architecture, existing patterns, technical debt, gaps, and constraints.
- Identify opportunities to simplify, standardize, automate, and improve reliability across the data ecosystem.
- Work with engineering and business stakeholders to understand how data is currently produced, transformed, governed, and consumed.
- Evaluate existing technical decisions and identify areas requiring modernization or redesign.
Define the Target State
- Design future-state data architectures aligned to business objectives and long-term technology strategy.
- Define practical interim architectures and transition states rather than assuming an immediate move from current state to an idealized end state.
- Create phased migration roadmaps that balance business value, cost, technical risk, dependencies, and delivery timelines.
- Present strategic execution options to senior technical and business stakeholders.
- Clearly communicate trade-offs between competing approaches and make actionable recommendations.
Establish Reusable Architecture Patterns
- Develop reference architectures for:
- Batch data processing
- Near-real-time data processing
- Real-time and low-latency data flows
- Event-driven architectures
- Data integration and transformation
- Data quality and governance
- AI-enabled data platforms
- Create reusable patterns, templates, standards, and architectural guidance that engineering teams can adopt.
- Promote consistency across teams while allowing appropriate flexibility for different business and technical requirements.
- Establish architectural principles and patterns that can scale across multiple domains and use cases.
Partner With Engineering
- Work closely with Data Engineering, Software Engineering, Platform Engineering, Product, Data Science, and AI teams.
- Translate business objectives and product requirements into scalable technical architectures.
- Provide detailed technical recommendations rather than purely conceptual designs.
- Review and challenge proposed technical approaches.
- Validate architectural decisions through hands-on technical investigation, proof-of-concepts, code reviews, and pipeline testing.
- Where appropriate, contribute directly to implementation and technical validation.
- Ensure architecture is practical, implementable, observable, secure, and scalable.
Enable Automation and Engineering Excellence
- Promote automation across data architecture and engineering workflows.
- Establish reusable CI/CD patterns for data pipelines and platform components.
- Encourage infrastructure-as-code, automated testing, deployment automation, and repeatable engineering practices.
- Help teams move from manually managed processes toward standardized and automated platforms.
- Define patterns that enable engineering teams to build and deploy data products efficiently and reliably.
Drive Governance and Data Quality
- Help define and implement enterprise data governance principles.
- Establish patterns for data quality, lineage, ownership, observability, and lifecycle management.
- Partner with stakeholders to improve the reliability, trustworthiness, and accessibility of enterprise data.
- Ensure data governance and quality are integrated into the architecture and development lifecycle rather than treated as afterthoughts.
AI and Emerging Technology
AI is an important part of the organization's future data architecture.
You are not expected to have deep production experience with every emerging AI technology. However, you should understand how modern AI capabilities fit into broader enterprise data ecosystems.
Relevant areas include:
- Retrieval-Augmented Generation (RAG)
- Vector databases and vector search
- Embeddings and semantic retrieval
- Model integration and AI data pipelines
- Agentic AI architectures
- Model Context Protocol (MCP)
- Data architectures supporting AI applications
- AI-driven automation and intelligent workflows
You should be able to reason about questions such as:
- Where should AI capabilities sit within the broader enterprise architecture?
- How should data be structured, governed, and made available to AI systems?
- When is a vector database appropriate?
- How should real-time and batch data support AI applications?
- How can AI capabilities be integrated into existing enterprise platforms without creating isolated point solutions?
- What architectural patterns are required to support scalable RAG and agentic systems?
The most important requirement is the ability to understand the direction of travel and make sound architectural decisions as the technology evolves.
CONTACT
Mark Turp
Principal Recruitment Consultant
SIMILAR
JOB RESULTS
Senior Data Analyst
London
£70000 - £72000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Copilot said:
Senior Data Analyst
London (Hybrid) – Up to £72,000
The Opportunity
We’re partnering with a fast-growing, innovation-led business seeking a Senior Data Analyst to join its central data function.
This is a highly visible role where you’ll work closely with senior stakeholders across finance, sales, operations, and executive leadership to deliver actionable insights that drive strategic decision-making. You’ll play a key role in shaping analytics capabilities, improving reporting, and helping the business maximise value from its data.
Key Responsibilities
- Analyse data from multiple sources to identify trends, risks, and opportunities
- Deliver actionable insights and recommendations to business stakeholders
- Design and develop reports, dashboards, and analytics solutions
- Present complex findings clearly to technical and non-technical audiences
- Partner with senior stakeholders to understand business needs and priorities
- Collaborate with data engineering and technology teams to improve analytics capabilities
- Support data governance, quality, and reporting standards
- Help drive a data-led culture across the business
- Contribute to strategic analytics roadmaps and continuous improvement initiatives
What We’re Looking For
- 7+ years’ experience in analytics, with at least 3 years in a senior analyst role
- Strong SQL skills and experience working with large datasets
- Experience delivering commercially impactful insights
- Strong understanding of data governance and data quality principles
- Experience with BI and data visualisation tools such as Power BI
- Knowledge of Python or R is advantageous
- Ability to translate complex data into clear business recommendations
- Excellent stakeholder management and communication skills
- Strong commercial awareness and problem-solving ability
- Experience working closely with data engineering and technology teams
Ways of Working
- Hybrid working environment
- Cross-functional exposure across multiple business areas
- Close collaboration with senior leadership and executive stakeholders
- Opportunity to influence strategic business decisions
- Fast-paced, high-growth environment with strong focus on innovation
Benefits
- Competitive salary and bonus potential
- Hybrid and flexible working
- Career development and progression opportunities
- Exposure to high-impact business initiatives
- Collaborative and supportive culture
- Opportunity to work with modern data and analytics technologies
- Strong focus on professional growth and continuous learning
How to Apply
If you’re a commercially minded Senior Data Analyst who enjoys turning data into strategic business decisions, we’d love to hear from you.
Apply with your CV or message me directly!
To Apply for this Job Click Here
Senior Data Analyst
London
£65000 - £72000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Data Analyst
London. £70,000 – £80,000 + benefits
This is an opportunity to join a growing, data-driven business where analytics has a direct influence on strategic decision-making. You’ll work closely with senior leadership, help shape key business initiatives, and play a central role in delivering high-impact analytics projects that drive commercial performance.
The Company
They are an established organisation operating across multiple locations in the UK, with a strong focus on innovation, customer experience, and operational excellence. Data is at the heart of their decision-making, and they continue to invest in their analytics capabilities to support business growth. Their analytics team works closely with data engineering and senior stakeholders to deliver insights that create measurable business value. You will be joining a collaborative and highly visible team with strong executive support.
The Role
- Deliver end-to-end analytics projects, from stakeholder engagement and requirements gathering through to insight delivery.
- Develop and optimise complex SQL queries within a modern cloud data environment.
- Design and build Power BI dashboards and reporting solutions that support business decision-making.
- Analyse large and complex datasets to identify trends, opportunities, and actionable recommendations.
- Partner with senior stakeholders across commercial, finance, operations, and technology teams.
- Present analytical findings to both technical and non-technical audiences, including senior leadership.
- Support the development of data-driven decision making across the organisation.
- Collaborate with data engineering teams to ensure high-quality, reliable analytics outputs.
- Contribute to data quality, governance, and continuous improvement initiatives.
Your Skills & Experience
- Strong commercial experience in data analytics within a business-facing environment.
- Advanced SQL skills, including experience with CTEs, window functions, and complex data modelling.
- Strong Power BI development experience, including dashboard creation and data visualisation.
- Experience working within Microsoft and Azure-based data environments.
- Ability to communicate complex analytical concepts clearly to senior stakeholders.
- Proven experience delivering impactful insights that influence business decisions.
- Strong stakeholder management and relationship-building capabilities.
- Experience working alongside data engineering teams and contributing to cross-functional projects.
- Knowledge of DAX, Azure Data Factory, semantic layers, Python, or R would be beneficial.
What They Offer
- Salary of £70,000 – £80,000 depending on experience.
- Competitive benefits package.
- Exposure to C-suite and executive stakeholders.
- Opportunity to work on large-scale analytics initiatives with significant business impact.
- Collaborative data and technology environment.
- Clear opportunities for professional development and career progression.
How to Apply
If you are a commercially minded Senior Data Analyst with strong SQL and Power BI experience, apply now to discuss this opportunity in more detail.
To Apply for this Job Click Here
Business Systems Analyst
Long Beach
$90000 - $110000
+ Advanced Analytics & Marketing Insights
PermanentLong Beach, California
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Business Systems Analyst
Location: Long Beach, CA – 5 days onsite
Title: Business Systems Analyst
Compensation: Competitive base salary + benefits
A company in the industrial/logistics space is seeking a Business Systems Analyst to support and improve core business applications across a complex, multi-terminal environment. This role is highly hands-on and will focus on application support, Dynamics 365 rollout activities, reporting, SQL-based troubleshooting, vendor coordination, and process improvement.
The ideal candidate can support live systems, troubleshoot data and application issues at the root-cause level, and help drive implementations, upgrades, and process standardization across the business. Experience with Microsoft Dynamics 365 is strongly preferred, while familiarity with Acumatica and Snowflake is a plus.
Responsibilities
- Administer and support core business applications, including Dynamics 365, Acumatica, reporting platforms, and internal systems.
- Serve as the primary point of contact for application and data support issues, including troubleshooting, issue resolution, and escalation management.
- Support the ongoing rollout of Dynamics 365 across the business, including testing, user support, and coordination with internal teams and vendors.
- Use SQL and relational database knowledge to diagnose system and data issues, support ad hoc requests, and identify root causes.
- Partner with stakeholders on reporting and data needs across Power BI, Sigma, and SSRS environments.
- Coordinate data flows between operational systems and reporting platforms.
- Gather and document business and technical requirements for enhancements, upgrades, and process improvements.
- Create and maintain SOPs, user guides, and support documentation.
- Work with external vendors and consultants on integrations, support issues, and system changes.
- Identify opportunities for process improvement and automation, including Agentic AI use cases where appropriate.
Qualifications
- Bachelor’s degree in Business Administration, MIS, Computer Science, or a related field, or equivalent experience.
- 5 years of relevant experience in application support, business systems analysis, project delivery, process documentation, and/or reporting.
- Experience supporting business-critical applications in a live environment.
- Strong working knowledge of SQL and relational databases.
- Experience with Power BI and other reporting platforms.
- Experience with Microsoft Dynamics 365 or a similar ERP/CRM platform strongly preferred.
- Familiarity with Acumatica is a plus.
- Familiarity with Snowflake or data warehouse concepts is a plus.
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Data Scientist
£45000 - £50000
+ Data Science & AI
PermanentMerseyside
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Data Scientist
£45,000-£50,000
Merseyside (Hybrid – 3x Days a Week in Office)
Looking for a Data Science role where your models will actually make it into production? This is an opportunity to join a major UK retail business at a pivotal stage in its Data Science and AI transformation. With a new loyalty programme launching and significant investment into customer analytics, the business is building a scalable Data Science capability focused on real commercial impact
THE COMPANY
This established UK retail brand is investing heavily across Data Science, analytics, and AI as part of a wider business transformation. The organisation is moving away from ad-hoc analytics and building a modern Data Science function capable of supporting customer personalisation, forecasting, and smarter commercial decision-making at scale. The culture is collaborative, pragmatic, and delivery-focused, with a strong emphasis on getting models into production and creating measurable business value.
THE ROLE
You’ll join a growing Data Science team, working closely with the Lead Data Scientist alongside analytics, engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models.
Projects include:
- Customer segmentation
- Customer Lifetime Value (CLTV) modelling
- Demand forecasting
- Propensity modelling
- Targeted promotions and campaign optimisation
- Data Science initiatives linked to a major new loyalty programme
The team are still early in their Data Science journey, making this an excellent opportunity for someone who enjoys building scalable solutions and helping shape best practices.
YOUR SKILLS & EXPERIENCE
The business are open to strong Advanced Analytics candidates looking to transition further into Data Science
- Strong Python experience
- Experience building predictive or customer-focused models
- A practical and commercially minded approach to Data Science
Nice to have:
- Cloud exposure (GCP or Azure)
- Experience with Vertex AI or Azure ML
THE BENEFITS
- Up to £50,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
To Apply for this Job Click Here
SEO Manager
London
£40000 - £45000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
SEO Manager
£40,000 – £45,000
London (Hybrid)
THE COMPANY
This is an opportunity to join a major UK retail group operating across sports, fashion and lifestyle, with a portfolio of high-profile brands and a rapidly growing eCommerce function! SEO is a business-critical channel here, with strong visibility across the wider organisation, influencing teams across commercial, trading and buying, not just digital marketing; you’ll be joining a fast-paced, high-performance environment with significant investment in digital and access to best-in-class tools and agency support!
THE ROLE
You’ll take ownership of SEO performance for a flagship retail site, driving organic growth across a high-traffic, high-revenue platform. This is a hands-on role where you’ll be expected to hit the ground running, working across technical SEO, content optimisation and strategy delivery.
Key responsibilities include:
- Owning SEO performance (rankings, traffic, revenue)
- Delivering and executing SEO strategy across technical and on-site optimisation
- Identifying growth opportunities through keyword and performance analysis
- Managing site health (technical SEO, crawlability, indexing)
- Collaborating with internal stakeholders across multiple business functions
- Managing agency relationships and output
- Reporting on performance and KPIs
- Supporting and developing junior team members
YOUR SKILLS AND EXPERIENCE
- Strong SEO experience with ownership of a site or key areas
- Comfortable working in a fast-paced, high-autonomy environment
- Experience across technical and content SEO
- Strong stakeholder management skills
Tools:
- Screaming Frog (essential)
- Google Search Console
- GA4
- Botify (nice to have)
- Pi Datametrics
Background:
- eCommerce experience preferred
- Open to strong agency candidates
- Best suited to someone hands-on and delivery-focused
THE BENEFITS
- £40,000-£45,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
To Apply for this Job Click Here
Head of Research
£80000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentNottinghamshire
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Head of Research
£80,000-£100,000
Nottinghamshire (Hybrid – 3x Days a Week in Office)
This is a rare opportunity to take ownership of a qualitative insight function within a large, established brand communications business, moving into a senior leadership role with real scope: leading a team, shaping capability, and working on globally recognised brands, all within a unique environment that blends insight, creativity, and strategy!
THE COMPANY
You’ll join an in-house agency which operates as a collection of specialist teams, delivering integrated work for major clients, including some key flagship relationships which you will be a part of from day 1. The business have long-standing client partnerships and a strong reputation but are now investing in building their external profile and strengthening their insight offering (which is where you come in!)
THE ROLE
This is a Head of Qual-level position, responsible for leading and growing the qualitative research capability.
You will:
* Lead, develop, and expand the Qual team (currently 3, with plans to grow)
* Own and evolve the qualitative research offering
* Deliver high-quality qual work, remaining hands-on where needed
* Partner with Account Directors on key client relationships
* Play a central role across major global accounts
* Introduce new methodologies and innovative approaches
* Contribute to new business and capability positioning
* Work within a matrix structure across insight, creative, and client teams
YOUR SKILLS AND EXPERIENCE
- Strong qualitative research background
- Strong client-facing skills
- Experience working with large, global brands
- Proven team leadership or practice-building experience
- Deep expertise across qualitative methodologies
- Commercial awareness and client-facing confidence
- A credible, senior presence: you are someone able to lead from day one
THE BENEFITS
- £80,000-£100,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
To Apply for this Job Click Here
CRO & AI Experimentation Engineer (Contract)
London
£400 - £440
+ Digital Analytics
ContractLondon
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CRO & AI Experimentation Engineer (Contract)
Agency – Telco Client
London
£400-£440 per day – Onside IR35
This is a unique opportunity to shape how AI-powered customer experiences are tested and deployed at scale. Working within a leading digital agency environment on behalf of a major telco client, you will help define and deliver experimentation frameworks for a new generation of AI products, ensuring innovation improves customer outcomes and commercial performance.
The Company
They are a well-established data, digital and customer experience consultancy that partners with large enterprise organisations to deliver experimentation, optimisation and AI-driven transformation programmes. As AI products become a larger part of the customer journey, they are investing in robust experimentation practices to ensure new features deliver measurable value. This engagement sits at the forefront of AI experimentation, product optimisation and customer experience.
The Role and Deliverables
- Lead the hands-on delivery of experimentation programmes for AI-powered customer products and features
- Design, build and implement testing frameworks for conversational AI, recommendation engines and other AI-driven experiences
- Manage controlled feature rollouts using LaunchDarkly or a similar feature-flagging platform, ensuring customer experience and conversion performance are protected
- Define experiment design, audience targeting and success metrics to assess the commercial impact of AI product changes
- Instrument experiments, tracking and event schemas to capture meaningful behavioural and performance data
- Work closely with product, analytics and delivery teams to evaluate AI variants, customer journeys and feature performance in production environments
Your Skills & Experience
- Strong hands-on experience designing and running experiments in live production environments
- Practical experience with LaunchDarkly or a comparable feature-flagging platform
- Expertise using experimentation and optimisation platforms such as Adobe Target, Optimizely or similar
- Experience rolling out digital products or features through a structured experimentation process
- Ability to evaluate the impact of customer-facing features on conversion, engagement and commercial outcomes
- Experience implementing analytics tracking, event instrumentation and experiment measurement frameworks
- Comfortable working with AI-powered products, conversational experiences, recommendation engines or LLM-driven features
- Strong understanding of CRO principles alongside product experimentation methodologies
- Ability to think strategically about how AI changes traditional experimentation approaches and customer journeys
How to Apply
If you have a background in CRO, product experimentation or growth engineering and are excited by the challenge of measuring and optimising AI-powered customer experiences, please apply with your CV.
To Apply for this Job Click Here
Technical CRO Consultant (AI-Focused Testing)
City of London
£400 - £440
+ Digital Analytics
ContractCity of London, London
To Apply for this Job Click Here
Technical CRO Consultant, AI Product Experimentation
London, Outside IR35, £400-440/day
This is an opportunity to help shape the rollout of AI-native products at scale. The business is investing heavily in conversational AI, recommendation engines, decisioning tools and agentic AI experiences, and needs a hands-on CRO specialist who can ensure these products deliver measurable commercial impact through robust experimentation and optimisation.
The Company
They are a large, customer-focused organisation undergoing significant digital and AI transformation. Their established experimentation function has strong foundations in traditional testing and optimisation. As AI-powered experiences become a growing part of the customer journey, they are looking to add specialist expertise to bridge the gap between CRO and AI product delivery. This project is expected to evolve as new AI workstreams are uncovered across the organisation.
The Role and Deliverables
- Lead experimentation and conversion optimisation activities across AI-powered digital products and customer experiences.
- Design, implement and evaluate tests for conversational AI, recommendation engines, decisioning tools and other AI-native products.
- Work closely with product, engineering and AI teams to ensure accurate instrumentation, tracking and measurement of performance.
- Use feature flagging and experimentation platforms to understand which experiences, features and AI models are driving commercial outcomes.
- Debug and validate experiment implementations, ensuring data quality and reliable reporting.
- Champion a conversion-focused mindset by challenging assumptions and evaluating the commercial impact of AI product decisions.
Your Skills & Experience
- Strong hands-on experience in Conversion Rate Optimisation (CRO) and digital experimentation.
- Experience testing, optimising or launching AI-powered products, including chatbots, conversational interfaces or LLM-based experiences.
- Practical knowledge of feature flagging platforms tools such as Launch Darkly or Statsig.
- Experience with platforms such as Optimizely, VWO, Adobe Target or similar technologies.
- Comfortable working alongside engineers and technical stakeholders, with the ability to translate business objectives into testable hypotheses.
- Strong understanding of instrumentation, analytics, debugging and experiment measurement.
- Commercially focused, with the ability to connect experimentation outcomes to conversion and business performance.
- Genuine interest in AI technologies and how they influence customer behaviour and digital experiences.
How to Apply
If you have a blend of CRO expertise and hands-on experience working with AI-powered digital products, please apply with your latest CV.
To Apply for this Job Click Here
Actuarial Lead
London
£50000 - £80000
+ Risk Analytics
PermanentLondon
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Actuarial Lead
London, very flexible working (remote based)
Salary 60-80,000
This is a rare opportunity to step into a highly autonomous role where you will own the capital modelling process for a growing insurance business. You will work closely with senior leaders, influence key decisions, and help build in‑house capability as the organisation scales.
The Company
They are a specialist insurer, established but growing and with a collaborative team. They combine a lean structure with strong technical expertise and a culture built around bright, driven people.
The Role
* Lead the maintenance and ownership of capital modelling across the business
* Work closely on reserving and pricing analysis
* Support Solvency II reporting and contribute to broader regulatory work
* Collaborate closely with pricing, actuarial and wider commercial teams to influence decisions
* Drive project work linked to business needs, solving complex problems with analytical approaches
* Play a key role as they transition capital models, solvency processes and actuarial reporting in‑house
Your Skills and Experience
* Strong commercial experience in pricing, capital modelling or reserving
* Part or newly qualified
* Experience in retail insurance
* Motivated, proactive and comfortable working independently in a fast‑paced environment
What They Offer
* Salary between 60-80,000 depending on experience
* Very flexible working, with the option to meet in London occasionally
* Study support for part‑qualified candidates
* High visibility across the business and genuine ownership of key modelling work
To Apply for this Job Click Here
Senior Data Analyst – BI and Insights
London
£60000 - £72000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Data Analyst – BI and Insights
London (Hybrid – 4 days office / 1 day home) £72,000 + Benefits
A leading UK business is looking for a commercially minded Senior Data Analyst to join its growing Data & Analytics function. This is an excellent opportunity to work on high-profile analytics projects, influence business strategy, and partner directly with senior stakeholders across the organisation.
The Role
You’ll be responsible for delivering end-to-end analytics projects, developing insights that drive commercial decisions, and creating impactful reporting and dashboards. Working closely with Data Engineering, you’ll help shape how data is used across the business while gaining regular exposure to senior leadership and C-suite executives.
Key Responsibilities
- Develop and optimise SQL queries within a modern Azure data environment
- Build and enhance Power BI dashboards and reporting solutions
- Partner with stakeholders to define business requirements and analytics roadmaps
- Translate complex data into clear commercial insights and recommendations
- Present findings and influence decision-making at senior leadership level
- Support strategic business initiatives through data-driven analysis
Experience Required
- 4+ years’ experience in Data Analytics
- Advanced SQL skills, including CTEs and Window Functions
- Strong Power BI experience
- Experience working within a Microsoft/Azure data environment
- Excellent stakeholder management and communication skills
- A commercial mindset and ability to translate data into business value
Desirable
- DAX knowledge
- Azure Data Factory experience
- Power BI backend knowledge
- Experience working with semantic data models
What’s On Offer?
- £72,000 base salary plus benefits
- High visibility role with regular exposure to senior leadership
- Opportunity to work on major business transformation and customer insight programmes
- Collaborative, data-driven culture
- Modern hybrid working environment in Central London
If you’re a strong SQL and Power BI professional who enjoys partnering with stakeholders and driving business impact through data, we’d love to hear from you.
To Apply for this Job Click Here
CRO Developer
Manchester
£50000 - £60000
+ Digital Analytics
PermanentManchester, Greater Manchester
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CRO Developer
£50,000 – £60,000
Hybrid – Manchester (3x days per week)
This is a rare opportunity to join a growing digital business where experimentation sits at the heart of decision making. With strong investment in CRO and testing, you will play a key role in creating, deploying, and analysing experiments across high traffic digital platforms. This position offers the chance to make a direct commercial impact while working with modern experimentation tools and technologies.
The Company
They are an established digital performance business operating across multiple international markets. Through a portfolio of proprietary digital platforms, they manage and optimise the full customer journey from acquisition through to conversion. Their data-driven approach to growth has created a strong culture of experimentation, with significant opportunities to improve customer experiences through testing. Continued expansion has led to investment in building internal CRO and experimentation capability.
The Role
As a CRO Developer, you will be responsible for building, implementing, and maintaining A/B tests and experiments across a range of digital products. You will work closely with analysts, marketers, designers, and stakeholders to translate hypotheses into live experiments that drive measurable business results.
- Build and deploy A/B and multivariate tests using HTML, CSS, and JavaScript
- Develop high-quality experiment code across websites and digital platforms
- Work with CRO and product stakeholders to turn testing ideas into live experiments
- Implement personalisation and experimentation campaigns using leading CRO tools
- Ensure experiments are technically robust, performant, and accurately tracked
- Debug, troubleshoot, and optimise testing implementations
- Collaborate with analytics teams to support experiment measurement and reporting
- Contribute to experimentation best practices, processes, and governance
- Identify technical opportunities to improve customer journeys and conversion performance
Your Skills & Experience
- Strong commercial experience as a CRO Developer, Front End Developer, or Experimentation Developer
- Hands-on experience building and deploying experiments using HTML, CSS, and JavaScript
- Experience with CRO and experimentation platforms such as Optimizely, VWO, AB Tasty, Convert, Dynamic Yield, or similar
- Strong understanding of A/B testing methodologies and experimentation principles
- Experience working with web analytics and performance measurement tools
- Ability to write clean, efficient, and maintainable front-end code
- Understanding of customer journeys, user behaviour, and conversion optimisation
- Comfortable working closely with technical and non-technical stakeholders
- Experience within performance marketing, ecommerce, lead generation, or high traffic digital environments is beneficial
What They Offer
- £50,000 – £60,000 base salary
- Bonus scheme
- Hybrid working model with flexibility
- Opportunity to help shape a growing experimentation function
- Exposure to high traffic digital products and large-scale testing programmes
- Strong career progression opportunities
- Collaborative and data-driven environment
How to Apply
If you are a CRO Developer with experience building and deploying experiments using HTML, CSS, and JavaScript, apply now to learn more about this opportunity.
To Apply for this Job Click Here
Staff Machine Learning Engineer
Palo Alto
$260000 - $310000
+ Data Science & AI
PermanentPalo Alto, California
To Apply for this Job Click Here
Staff Machine Learning Engineer
Location: Palo Alto, CA | On-site 5 days a week
About the Role & Team
Are you ready to bridge the gap between cutting-edge AI research and production-grade software engineering at massive enterprise scale?
As an Staff Machine Learning Engineer, you will play a crucial role in ensuring the smooth operation and optimization of LLM-aided AI products. The team sits within the central Chief Data and Analytics Office, at the intersection of Computer Science and Computer Engineering, building scalable LLM-based products, reusable back-end APIs, and AI infrastructure powering 320,000+ employees organization-wide.
In this role, you will lead the design and delivery of production architectures, accelerating ML adoption across the business and taking internal capabilities from 0 to 80% in days rather than months.
Why Join?
- Massive Scale & Impact: Build tools (Chatbots, Text-to-Code, SQL agents, workflow automation) used by hundreds of thousands of users. Releases can touch 100,000+ users in week one, saving up to 30% of working time for operational teams.
- High Visibility: Report directly to executive leadership with direct Operating Committee confidence and high-profile ownership.
- Entrepreneurial Culture: Move fast in a startup-like environment backed by enterprise resources-tackle open problems on Thursday and deliver production-ready solutions by Monday.
- Top-Tier Talent: Collaborate with leading scientists and engineers from top tech labs and research institutions.
Key Responsibilities
- Architect & Deploy: Combine vast data assets with cutting-edge LLMs and Multimodal LLMs, leading the design and delivery of production architectures.
- Bridge Science & Systems: Bridge scientific research and software engineering, requiring deep expertise in both domains.
- Scalable Infrastructure: Collaborate closely with cloud and SRE teams to design modular, reusable back-end APIs built for scalability.
- Ownership & Strategy: Act as a “Responsible Owner” for ML services in enterprise environments, writing clear, concise OKRs aligned with business expectations.
Required Qualifications
- Education: PhD in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics).
- Hands-on Engineering: Experience in an individual contributor role in ML engineering
- Distributed Systems: Hands-on experience in implementing distributed, multi-threaded, and scalable applications (using frameworks such as Ray, Horovod, DeepSpeed, etc.) and cloud/container environments (AWS, Kubernetes, Fargate).
- Core Fundamentals: Solid understanding of the fundamentals of statistics, optimization, and ML theory (focusing on NLP and/or Computer Vision), combined with excellent CS fundamentals and SDLC best practices.
Preferred Qualifications
- LLM Optimization: Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models.
- Prompt Engineering & Reasoning: Hands-on knowledge of Chain-of-Thought, Tree-of-Thought, and Graph-of-Thought prompting strategies.
- Microservices & Orchestration: Experience designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) and constructing batch/streaming microservices exposed as gRPC and/or GraphQL endpoints.
Compensation & Package
- Target Base Compensation: $260,000-$310,000 + Bonus + Equity
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