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Lead Marketing Analyst

£65,000-£75,000 + Bonus + Equity

Fully Remote in The UK

Are you a commercially minded marketing & growth analytics professional who enjoys getting beyond day-to-day campaign reporting and answering the bigger questions around where a business should invest to unlock its next stage of growth? If yes – this could be the role for you!

The Company

A fast-growing, global consumer marketplace is redefining pet care and travel, connecting pet owners with a trusted community of sitters across more than 140 countries. The business has built a highly engaged global community and has ambitious plans for its next phase of growth. With a product that customers genuinely love and a rapidly evolving data function, this is an opportunity to join a business at a particularly exciting point in its journey. Growth is a major focus, and the Analytics team is evolving to play an increasingly strategic role in helping the business understand what is driving performance, where the biggest opportunities sit and where investment should be focused. You’ll have an unobstructed view across the business, working at the intersection of Marketing, Growth and Product to help unlock the next stage of growth.

The Role

As the Lead Growth Analyst, you’ll sit within the Marketing Analytics function, which is increasingly evolving into a broader Growth Analytics team. This is not a traditional Marketing Analytics role focused purely on campaign performance or channel reporting. You’ll take a much broader view of growth, working across Marketing and Product to identify, analyse and size the biggest opportunities available to the business. You’ll lead complex analytical workstreams from end to end; framing ambiguous business questions, exploring the data, developing a clear point of view and turning your findings into actionable recommendations. A key part of the role will be understanding how different parts of the customer journey and business come together to drive growth. You’ll work across acquisition, customer behaviour, conversion, advocacy, organic growth and experimentation, helping stakeholders make better commercial and investment decisions. This is a senior individual contributor position with no formal line management responsibility, although you’ll be expected to coach and support other analysts and help raise the analytical standard across the team.

You’ll be responsible for:

• Leading end-to-end analysis on the business’s most important growth questions
• Identifying and sizing opportunities across Marketing, customer journeys and Product
• Understanding what is driving changes in growth performance, proactively investigating risks and opportunities
• Working across acquisition, conversion, customer behaviour and longer-term growth
• Supporting major commercial and investment decisions through robust analysis
• Bringing together channel performance, customer behaviour and experimentation to understand what is driving results
• Working on larger, cross-functional growth initiatives rather than simply analysing individual campaigns
• Supporting experimentation and A/B testing to assess new initiatives and measure their impact
• Helping develop approaches to improve how the business makes marketing investment decisions
• Contributing to projects around customer advocacy and organic growth
• Exploring opportunities at the intersection of Marketing and Product
• Building clear growth narratives and translating complex analysis into actionable recommendations
• Influencing senior stakeholders and ensuring analytical recommendations translate into measurable business impact
• Supporting wider commercial questions, including forecasting, pricing and scenario analysis where relevant to growth
• Building scalable analytical approaches that improve the speed and quality of decision-making
• Coaching and mentoring other analysts within the team

There are a number of exciting projects planned over the next 12 months, including developing a marketing spend rulebook, understanding how to grow customer advocacy and organic growth, and identifying opportunities where Marketing and Product can work together more effectively to drive business growth.

Your Skills & Experience

The ideal candidate will bring broad Growth, Marketing or Commercial Analytics experience and be comfortable operating beyond the boundaries of a traditional channel-focused analytics role. I am looking for someone who can take an ambiguous question, structure the analysis independently and develop a clear, commercially minded recommendation.

Key requirements:

• Significant experience within Growth or Marketing Analytics
• Strong experience working in a digital, consumer, marketplace, subscription or technology-led environment
• Advanced SQL skills
• Experience using Python or R for analysis
• Strong understanding of customer acquisition, funnel performance and growth
• Experience analysing customer journeys across multiple stages of the funnel
• Experience working with cohort analysis, lifecycle performance, conversion and longer-term customer journeys
• Strong understanding of the interaction between Marketing and Product
• Experience with experimentation and A/B testing
• Knowledge of marketing effectiveness and measurement approaches, such as MMM, incrementality testing and attribution
• The ability to independently structure and lead complex or ambiguous analytical projects
• Strong commercial judgement and the ability to translate analysis into clear recommendations
• Excellent stakeholder management and communication skills
• The ability to influence senior stakeholders without formal authority
• Experience coaching or mentoring other analysts would be highly desirable

Product Analytics experience would be beneficial, particularly for candidates who have worked closely with Product teams and understand how product and marketing decisions can come together to drive growth. Candidates from start-ups, scale-ups, consumer technology, marketplaces or product-led businesses would be particularly relevant, although strong candidates from consulting or more traditional commercial environments will also be considered.

The Benefits

• Up to £75,000
• Bonus
• Equity

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Director of Data Research
Remote (UK/EU) | £100,000 – £150,000 + Bonus
This is a rare opportunity for a senior data leader to shape the future of a growing data research function within a fast-scaling technology business. Sitting at the intersection of data science, research, commercial strategy, and innovation, you will lead the discovery, validation, and evaluation of new datasets that directly influence the company’s product offering and growth strategy.
The Company
They are a fast-growing data and technology business that helps clients make smarter decisions through proprietary datasets, advanced analytics, and market intelligence. Operating internationally, they work with complex real-world datasets to generate valuable commercial insights for customers. Following a period of strong growth, they are investing heavily in expanding their research capabilities and developing new data-driven products.
The Role
As Director of Data Research, you will lead the strategy and development of a specialist research function focused on discovering, evaluating, and validating new data sources.
Your responsibilities will include:

• Defining and executing the data research strategy alongside senior leadership.
• Leading complex data discovery and evaluation projects from hypothesis through to recommendation.
• Assessing the commercial value, quality, and scalability of new datasets.
• Developing robust methodologies for data validation, statistical analysis, and research quality standards.
• Working closely with data acquisition and commercial teams to assess potential data investments.
• Applying techniques such as time series analysis, correlation analysis, hypothesis testing, and feature engineering.
• Identifying new opportunities to create valuable data products and customer insights.
• Managing and developing members of the Data Research team while raising technical standards across the function.
• Driving the use of AI and advanced analytical techniques to improve research efficiency and quality.
• Acting as a key stakeholder across Technology, Product, and Commercial functions.

Your Skills & Experience

• Strong experience within Data Research, Data Science, Analytics Research, Alternative Data, or related fields.
• Proven experience evaluating, validating, and extracting value from new and unstructured datasets.
• Strong Python skills and a solid statistical background.
• Experience with data discovery, feature engineering, and transforming messy datasets into scalable analytical assets.
• Demonstrable experience leading open-ended research projects from concept through to business recommendation.
• Experience managing or mentoring technical teams and setting research standards.
• Strong commercial judgement and the ability to assess the value and impact of potential data investments.
• Excellent stakeholder management and communication skills.
• Experience within alternative data, financial data, investment research, consulting, SaaS, or data-focused technology environments would be advantageous.

What They Offer

• Salary between £100,000 and £150,000.
• Annual bonus opportunity of up to 25%.
• Fully remote working environment with optional access to a central London office.
• Private healthcare.
• Pension scheme.
• Remote working allowance for home office setup.
• Opportunity to build and shape a growing research function.
• Significant exposure to senior leadership and business-critical decision making.
• Strong long-term progression opportunities within an expanding technology business.

If you are interested please feel free to apply below.

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Applied AI Researcher (Generative AI & Dataset Strategy)

Overview

A rapidly growing technology organisation is seeking an Applied AI Researcher to bridge the gap between cutting-edge generative AI research and large-scale data development. The successful candidate will assess the strengths and weaknesses of state-of-the-art image and video generation models and determine how targeted datasets can be designed to improve model performance.
This role is ideal for a researcher with hands-on experience building or working with generative AI systems who also understands the critical relationship between training data quality, composition, and model outcomes. While the position is not responsible for training production models, it plays a key role in defining the data needed to advance them.

Key Responsibilities

• Evaluate emerging generative AI models, research publications, technical reports, and new architectural approaches.
• Identify performance limitations in image and video generation systems and determine the data needed to address those shortcomings.
• Design dataset strategies, including structure, taxonomy, metadata standards, annotation requirements, and quality controls.
• Translate research insights into actionable specifications for product and data teams.
• Partner with commercial stakeholders to understand market demands and customer requirements.
• Collaborate with technical researchers and external AI partners on data-related initiatives.
• Support dataset development efforts from concept through delivery, including operational planning and execution.
• Balance strategic research activities with practical dataset design and implementation work.

Required Qualifications

• 2+ years of relevant experience in machine learning, computer vision, generative AI, or related fields.
• Hands-on experience developing, training, evaluating, or contributing to generative AI or foundation models.
• Strong understanding of how dataset composition and quality impact model performance.
• Direct experience with image-generation technologies; exposure to video-generation systems is highly desirable.
• Knowledge of model evaluation methodologies, error analysis, and dataset design principles.
• Ability to read and interpret research papers and convert findings into practical solutions.
• Strong communication and stakeholder management skills.
• Experience working across research, product, and business functions.

Preferred Qualifications

• PhD in Computer Science, Computer Vision, Machine Learning, or a closely related discipline.
• Experience within organisations developing advanced generative AI systems.
• Background in visual AI domains such as image generation, video generation, synthetic data, or multimodal systems.
• Applied research experience with a track record of delivering business-impacting outcomes rather than solely academic publications.

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Agentic AI Software Engineer

Overview

We’re partnering with an organisation investing heavily in AI-driven products and intelligent automation. This position is ideal for a software engineer who began their career in full-stack development and has since specialised in designing, building, and deploying AI agents in production environments.
This is not an AI-assisted coding role. We are seeking someone who has personally built and deployed AI agents, agent orchestration frameworks, and agentic workflows that interact with enterprise systems, APIs, and business processes.
The successful candidate will become the primary builder of AI agents within a growing AI engineering function, delivering high-value initiatives and shaping the future of enterprise AI capabilities.

Compensation, Location & Logistics

• Salary: Up to $180,000
• Bonus: Up to 15% annual bonus
• Relocation Assistance: $10,000 relocation package available
• Work Model: Hybrid
• Location: Houston, TX
• Office Requirement: 4 days per week on-site
• Remote Flexibility: Candidates outside a 50-mile radius may be eligible for a reduced on-site requirement of approximately 4 days per month
• Sponsorship: Not available

Interview Process

1. Initial recruiter screening
2. Online technical assessment
   • Coding evaluation
   • LLM and AI fundamentals assessment
3. Technical interview with AI Engineering leadership
   • Deep dive into agent architecture, product delivery, and real-world use cases
4. Final on-site panel interview with technical and business stakeholders

What We’re Looking For

Essential Background

• Minimum 3+ years of full-stack software engineering experience
• Minimum 3+ years of hands-on AI agent development experience
• Strong track record building and deploying production-grade AI agents
• Experience designing agentic workflows beyond prompt engineering or AI coding assistants
• Deep understanding of:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agent orchestration
  • Tool calling
  • Agent memory and context systems
  • AI evaluation and monitoring frameworks
• Strong frontend and backend development expertise
• Experience integrating AI systems with APIs, databases, enterprise applications, and external services

Ideal Candidate Profile

You likely started your career as a software engineer and evolved into AI engineering, spending recent years focused on designing, building, and operating intelligent agents in production rather than simply consuming AI tools.
You understand how to architect systems where AI can reason, retrieve information, interact with tools, and complete business workflows safely and effectively.

Key Responsibilities

Agentic AI Development

• Design and build AI agents capable of reasoning through complex business workflows
• Develop support agents that can understand user intent, maintain context, retrieve information, and take meaningful actions
• Create multi-step agentic workflows leveraging LLMs, APIs, business logic, enterprise systems, and knowledge sources
• Design memory, context, retrieval, and personalisation frameworks
• Implement guardrails, evaluation methodologies, fallback mechanisms, and human-in-the-loop processes
• Optimise agent performance across accuracy, latency, reliability, cost, and task completion metrics

Full-Stack Product Development

• Build user-facing applications that enable interaction with AI-powered experiences
• Develop modern frontend applications using frameworks such as React, Next.js, or Angular
• Build backend services and APIs using Python frameworks including FastAPI, Flask, or Django
• Own solutions end-to-end from architecture through deployment
• Ensure scalability, security, reliability, and maintainability of AI-enabled products

RAG, Data & AI Infrastructure

• Develop RAG pipelines that connect agents to structured and unstructured enterprise knowledge
• Build data ingestion and integration pipelines
• Connect AI systems to APIs, databases, workflow engines, and business applications
• Help establish infrastructure supporting agent memory, retrieval, and contextual reasoning
• Maintain high standards for security, reliability, and performance

LLM Engineering

• Integrate and orchestrate leading AI models within production environments
• Develop prompting, retrieval, context management, and tool-selection strategies
• Build conversational AI, intelligent search, document processing, and workflow automation capabilities
• Evaluate model performance, architectures, providers, and costs
• Create monitoring and evaluation frameworks to measure business impact and technical effectiveness

Engineering Excellence

• Implement CI/CD, testing, observability, and monitoring practices
• Establish best practices around software quality, documentation, security, and deployment
• Leverage modern AI engineering tools while maintaining strong engineering discipline
• Stay current with emerging agent frameworks, AI tooling, and industry best practices

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline
• 6+ years of combined software engineering and AI development experience
• Strong full-stack development experience across frontend and backend technologies
• Experience building scalable APIs and distributed applications
• Proven experience building AI agents, agentic workflows, or production LLM applications
• Experience with:
  • LLMs
  • RAG architectures
  • Tool calling
  • Agent orchestration frameworks
  • AI evaluation methodologies
• Experience developing applications using React, Angular, Next.js, or similar frameworks
• Strong Python development experience
• Experience working with cloud-based environments and modern deployment practices
• Experience using AI-enabled development tools responsibly and effectively

Preferred Qualifications

• Experience with Databricks or modern lakehouse platforms
• Experience with GCP or similar cloud environments
• Infrastructure-as-code and DevOps experience
• Experience building enterprise-scale AI products
• Background working within cross-functional Agile teams

What Success Looks Like

• Build and deploy production-ready AI agents that drive measurable business outcomes
• Become the team’s go-to technical expert for agent architecture and orchestration
• Deliver reliable, scalable, and secure AI solutions in enterprise environments
• Help define AI engineering best practices and agent development standards across the organisation

To Apply for this Job Click Here

To Apply for this Job Click Here

Agentic AI Software Engineer

Overview

We’re partnering with an organisation investing heavily in AI-driven products and intelligent automation. This position is ideal for a software engineer who began their career in full-stack development and has since specialised in designing, building, and deploying AI agents in production environments.
This is not an AI-assisted coding role. We are seeking someone who has personally built and deployed AI agents, agent orchestration frameworks, and agentic workflows that interact with enterprise systems, APIs, and business processes.
The successful candidate will become the primary builder of AI agents within a growing AI engineering function, delivering high-value initiatives and shaping the future of enterprise AI capabilities.

Compensation, Location & Logistics

• Salary: Up to $180,000
• Bonus: Up to 15% annual bonus
• Relocation Assistance: $10,000 relocation package available
• Work Model: Hybrid
• Location: Houston, TX
• Office Requirement: 4 days per week on-site
• Remote Flexibility: Candidates outside a 50-mile radius may be eligible for a reduced on-site requirement of approximately 4 days per month
• Sponsorship: Not available

Interview Process

1. Initial recruiter screening
2. Online technical assessment
   • Coding evaluation
   • LLM and AI fundamentals assessment
3. Technical interview with AI Engineering leadership
   • Deep dive into agent architecture, product delivery, and real-world use cases
4. Final on-site panel interview with technical and business stakeholders

What We’re Looking For

Essential Background

• Minimum 3+ years of full-stack software engineering experience
• Minimum 3+ years of hands-on AI agent development experience
• Strong track record building and deploying production-grade AI agents
• Experience designing agentic workflows beyond prompt engineering or AI coding assistants
• Deep understanding of:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agent orchestration
  • Tool calling
  • Agent memory and context systems
  • AI evaluation and monitoring frameworks
• Strong frontend and backend development expertise
• Experience integrating AI systems with APIs, databases, enterprise applications, and external services

Ideal Candidate Profile

You likely started your career as a software engineer and evolved into AI engineering, spending recent years focused on designing, building, and operating intelligent agents in production rather than simply consuming AI tools.
You understand how to architect systems where AI can reason, retrieve information, interact with tools, and complete business workflows safely and effectively.

Key Responsibilities

Agentic AI Development

• Design and build AI agents capable of reasoning through complex business workflows
• Develop support agents that can understand user intent, maintain context, retrieve information, and take meaningful actions
• Create multi-step agentic workflows leveraging LLMs, APIs, business logic, enterprise systems, and knowledge sources
• Design memory, context, retrieval, and personalisation frameworks
• Implement guardrails, evaluation methodologies, fallback mechanisms, and human-in-the-loop processes
• Optimise agent performance across accuracy, latency, reliability, cost, and task completion metrics

Full-Stack Product Development

• Build user-facing applications that enable interaction with AI-powered experiences
• Develop modern frontend applications using frameworks such as React, Next.js, or Angular
• Build backend services and APIs using Python frameworks including FastAPI, Flask, or Django
• Own solutions end-to-end from architecture through deployment
• Ensure scalability, security, reliability, and maintainability of AI-enabled products

RAG, Data & AI Infrastructure

• Develop RAG pipelines that connect agents to structured and unstructured enterprise knowledge
• Build data ingestion and integration pipelines
• Connect AI systems to APIs, databases, workflow engines, and business applications
• Help establish infrastructure supporting agent memory, retrieval, and contextual reasoning
• Maintain high standards for security, reliability, and performance

LLM Engineering

• Integrate and orchestrate leading AI models within production environments
• Develop prompting, retrieval, context management, and tool-selection strategies
• Build conversational AI, intelligent search, document processing, and workflow automation capabilities
• Evaluate model performance, architectures, providers, and costs
• Create monitoring and evaluation frameworks to measure business impact and technical effectiveness

Engineering Excellence

• Implement CI/CD, testing, observability, and monitoring practices
• Establish best practices around software quality, documentation, security, and deployment
• Leverage modern AI engineering tools while maintaining strong engineering discipline
• Stay current with emerging agent frameworks, AI tooling, and industry best practices

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline
• 6+ years of combined software engineering and AI development experience
• Strong full-stack development experience across frontend and backend technologies
• Experience building scalable APIs and distributed applications
• Proven experience building AI agents, agentic workflows, or production LLM applications
• Experience with:
  • LLMs
  • RAG architectures
  • Tool calling
  • Agent orchestration frameworks
  • AI evaluation methodologies
• Experience developing applications using React, Angular, Next.js, or similar frameworks
• Strong Python development experience
• Experience working with cloud-based environments and modern deployment practices
• Experience using AI-enabled development tools responsibly and effectively

Preferred Qualifications

• Experience with Databricks or modern lakehouse platforms
• Experience with GCP or similar cloud environments
• Infrastructure-as-code and DevOps experience
• Experience building enterprise-scale AI products
• Background working within cross-functional Agile teams

What Success Looks Like

• Build and deploy production-ready AI agents that drive measurable business outcomes
• Become the team’s go-to technical expert for agent architecture and orchestration
• Deliver reliable, scalable, and secure AI solutions in enterprise environments
• Help define AI engineering best practices and agent development standards across the organisation

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Analytics Executive

Up to £40,000
Remote (UK) | Occasional Travel to London or Birmingham

I’m hiring a Digital Analytics Executive to join a nationally recognised organisation at the heart of one of the UK’s largest consumer sectors.

This is a brilliant opportunity for someone with 1-2 years of Digital Analytics or Web Analytics experience who wants to develop deeper technical analytics skills while working closely with an experienced Digital Analytics Lead and supporting a major analytics transformation programme.

The role

Reporting into the Digital Analytics Lead, you’ll support digital measurement, web analytics, and tracking projects across a large portfolio of digital experiences.

You’ll gain hands-on exposure to:

• Google Analytics 4 (GA4)
• Google Tag Manager (GTM)
• Tagging implementation
• Data Layers
• Digital Measurement Strategy
• Technical Web Analytics

You’ll also play a key role in supporting a wider transformation programme as the organisation builds out a modern self-service analytics environment.

What you’ll be doing

• Analyse website performance and user behaviour using GA4
• Support GTM implementation, maintenance, and troubleshooting
• Assist with tracking validation and debugging
• Help improve digital measurement frameworks
• Support data layer and tagging projects
• Work with stakeholders to ensure data quality and accuracy
• Contribute to analytics transformation and reporting initiatives
• Partner with the Digital Analytics Lead on more technical analytics projects

What they’re looking for

Essential

• 1-2 years’ experience in Digital Analytics, Web Analytics, or Marketing Analytics
• Hands-on experience with Google Analytics 4
• Experience using Google Tag Manager
• Strong interest in web tracking and digital measurement
• Good communication and stakeholder skills
• Curious mindset and eagerness to learn

Nice to have

• BigQuery
• Databricks
• Data layer exposure
• Tagging implementation experience
• Web analytics consultancy or agency experience

Most importantly

You don’t need deep data layer or advanced tracking experience already.

They’re looking for someone who wants to learn and develop in technical digital analytics and is excited by the opportunity to work alongside an experienced analytics specialist who can support that growth.

Why join?

• Predominantly remote working
• Significant exposure to technical web analytics
• Opportunity to learn data layer implementation and advanced tagging
• Work on a major analytics transformation programme
• Exposure to Databricks and modern analytics technologies
• Strong learning and development opportunities
• Supportive and highly experienced analytics leadership

Package

• Up to £40,000 salary
• Predominantly remote working
• Access to London and Birmingham offices
• Strong development opportunities
• Exposure to modern analytics and tracking methodologies

Interview process

Stage 1

• Teams interview with the Digital Analytics Lead and Head of Analytics

Stage 2

• Live technical task focused on analytics troubleshooting and bug-finding

This role would be ideal for a:

• Digital Analytics Executive
• Web Analyst
• Digital Analyst
• Marketing Analyst
• Junior Web Analytics Consultant
• GA4 Analyst

looking to take the next step into a more technical analytics environment with excellent mentoring and development opportunities.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer | Venture-Backed HealthTech Startup
Cambridge, MA
$200,000 – $220,000 + bonus + equity
4 days per week on-site

Join a well-funded, mission-driven start-up using AI to transform the way serious diseases are detected and monitored.

Having secured over $30M in early-stage funding and backed by leading investors, the company is entering an exciting growth phase as it prepares for its next major funding milestone. Their platform generates personalised health insights over time, with a live product already being used through a dedicated mobile application.

The Role

You’ll be responsible for taking machine learning solutions from concept through to production, working across:

• ML model design, training and deployment
• Infrastructure, scalability and MLOps
• Productionising AI systems
• Monitoring, optimisation and performance improvement
• Collaborating closely with engineering, product and domain experts

This is an engineering-focused role suited to someone who enjoys shipping robust ML systems rather than pure research.

What We’re Looking For

• Strong AI & machine learning and software engineering experience
• Track record of deploying ML models into production
• Experience with cloud infrastructure and MLOps
• Startup mindset and high ownership mentality
• Healthcare, biotech or life sciences experience is beneficial but not essential

Why Join?

• Opportunity to work on technology with meaningful real-world impact
• Backed by an experienced founding team with deep expertise in AI and life sciences
• Over $30M raised to date, providing the resources of a well-funded scale-up with the agility of a startup
• Join at an exciting stage of growth ahead of a major funding event
• High autonomy and influence within a small, highly technical team

Interview Process

1. Introductory conversation with the hiring manager
2. Three technical interview stages
3. Final onsite cultural and team-fit assessment

Ideal for AI engineers who enjoy building and scaling production-grade machine learning systems in a fast-paced, well-funded startup environment.

To Apply for this Job Click Here