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Digital Marketing Manager (PPC & SEO)
Remote (UK) with monthly meetups
Up to £50,000

This is an excellent opportunity to take ownership of a high-impact digital marketing function within a growing eCommerce-led business. You will play a key role in rebuilding and scaling paid search and SEO performance, with the autonomy to shape strategy and drive measurable commercial outcomes.

The Company
They are a UK-based online-first business operating within a specialist B2B and consumer-facing sector. Their platform brings together a wide range of products from multiple suppliers, creating a streamlined purchasing experience for customers. With a strong focus on digital growth, they are investing in in-house expertise to enhance performance marketing and drive long-term scalability. The business offers a collaborative, technology-enabled environment with access to strong internal data and analytics capabilities.

The Role
You will lead PPC and SEO strategy, taking ownership of performance and growth across key digital channels. Responsibilities include:

• Managing and optimising Google Ads activity, including Performance Max and Shopping campaigns
• Owning the development and execution of a scalable PPC strategy focused on revenue, ROAS and lead quality
• Leading SEO direction across product categories, working cross-functionally with content, development and product teams
• Improving attribution, tracking accuracy and data reliability using tools such as GA4 and server-side tracking
• Integrating CRM and tracking data into campaign optimisation and reporting
• Managing product feeds and platforms such as Google Merchant Centre and Search Console
• Analysing performance data to uncover insights and drive continuous improvement
• Delivering clear, commercially focused reporting aligned to profitability and growth objectives
• Acting as the internal subject matter expert, with scope to shape future team growth

Your Skills & Experience
You will bring strong hands-on experience across performance marketing and analytics, including:

• Proven capability managing PPC campaigns across Google Ads, including Search, Shopping and Performance Max
• Strong understanding of SEO strategy within product-led or eCommerce environments
• Experience optimising campaigns towards commercial outcomes such as revenue, profit and lead quality
• Solid analytics expertise, including GA4, attribution and conversion tracking
• Experience working with CRM or tracking data (e.g. Salesforce) to enhance performance
• Ability to manage product feeds and optimise large catalogues
• Strong analytical mindset with the ability to translate data into actionable insight
• Confidence working independently in a remote environment with ownership of results

What They Offer

• Private medical insurance and wellbeing support
• Enhanced family benefits and additional perks
• Clear progression into a leadership role as the function expands
• Opportunity to shape and build a high-performing digital marketing capability

How to Apply
If you are interested in this Digital Marketing Manager (PPC & SEO) role, please apply with your CV to discuss further.

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Senior CRO Developer

Location: London, Hybrid (2-3 days per week in office)
Salary: Up to £60,000
Sponsorship: Not available

Digital optimisation agency specialising in analytics, SEO and experimentation is looking for a Senior CRO Developer to join their growing team.

This is a key role within a fast-paced CRO function, building and deploying A/B tests across a range of client websites.

Role overview:

• Build and deploy A/B and multivariate tests for multiple clients

• Work closely with CRO and optimisation teams on experimentation delivery

• Support ongoing optimisation of conversion performance across client accounts

• Occasionally client-facing to support technical delivery discussions

• Work as part of a small CRO development team, taking ownership of builds

Key requirements:

• Strong experience in CRO / experimentation development (agency experience preferred)

• Hands-on experience with tools such as Optimizely, VWO or similar

• Comfortable working in a high-output environment (c. 20 tests per month expectation)

• Strong technical understanding of web development and testing frameworks

• Ability to work independently and manage workload across multiple clients

Fast-growing, award-winning agency offering strong exposure to experimentation at scale and a high-performance optimisation environment.

Find out more and apply via the link below!

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Senior Marketing Manager

Location: London (Hybrid – 2 days per week in office)
Salary: Up to £65,000 + bonus (c. £70,000 OTE)
Sponsorship: Not available

Global education business looking for a Senior Marketing Manager to lead pan-destination marketing strategy and campaigns across international markets.

Role overview:

• Own and deliver multi-market marketing strategy and campaigns

• Develop customer journey frameworks and messaging

• Lead integrated campaigns across multiple channels and regions

• Work closely with cross-functional teams to drive performance and consistency

• Use data and insight to optimise campaign performance

Requirements:

• 5+ years marketing experience in a fast-paced environment

• Strong experience delivering integrated campaigns

• Hands-on and strategic mindset

• Strong stakeholder management skills

• Data-driven approach

High-impact role with ownership of international marketing strategy and execution.

Find out more and apply via the link below!

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SEO Manager

Location: London (Hybrid – 3 days in the office)
Salary: Up to £60,000 + bonus

Sponsorship: Not available

We’re partnering with a well-known retail brand to hire an SEO Manager to own and drive its organic search strategy across multiple eCommerce websites.

This is a unique opportunity to build and shape an in-house SEO function, taking ownership of both strategy and execution while influencing key stakeholders across Digital, eCommerce and Technology.

Key responsibilities:

• Own and deliver the organic search strategy across multiple websites.

• Lead technical SEO, on-page optimisation, keyword research and site audits.

• Monitor rankings, traffic and organic revenue, identifying growth opportunities.

• Work closely with Content, Digital and Development teams to implement SEO best practices.

• Stay ahead of Google algorithm updates, AI search and emerging GEO trends, translating changes into clear business actions.

What we’re looking for:

• Strong in-house SEO experience, ideally within eCommerce or retail.

• A broad SEO skillset across technical, on-page and content optimisation.

• Commercial mindset with the ability to influence stakeholders and drive change.

• An interest in AI search, LLMs and the future of organic search (GEO).

• Confident communicator who enjoys taking ownership and making an impact.

This is a fantastic opportunity to join a business investing heavily in digital growth, where you’ll have the autonomy to build the SEO roadmap and make a genuine commercial impact from day one.

Find out more and apply via the link below!

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Senior Digital Product Analyst

Location: London (1 day per week in the office)
Salary: Up to £80,000
Sponsorship: Not available

We’re working with a fast-growing B2B SaaS company looking for a Senior Digital Product Analyst to join their Product & Analytics team.

This is an opportunity to play a key role in shaping product decisions through data, partnering closely with Product, Design and Engineering teams to define success metrics, measure product performance and deliver actionable insights.

Key responsibilities:

• Lead GA4 implementation via Google Tag Manager, including data layer management.
• Analyse product performance and user behaviour using SQL.
• Manage GA4 data pipelines into Snowflake via GCP.
• Measure the impact of product releases through experimentation and A/B testing.
• Build dashboards and communicate insights to influence product strategy.

Key requirements:

• Strong product analytics experience within a SaaS business.
• Hands-on GA4 and Google Tag Manager implementation experience.
• SQL proficiency.
• Experience with Snowflake and GCP.
• Experience with a data visualisation tool (ThoughtSpot, Tableau, Power BI, Looker, etc.).
• Confident stakeholder management and strong commercial mindset.

This is a fantastic opportunity to join a collaborative, data-driven team where you’ll have real influence on product strategy and business performance.

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ML Engineer
New York City or Remote. $200,000 to $240,000 base plus equity and benefits.
This is a rare opportunity to join a very early stage AI startup and take full ownership of building a critical machine learning system from the ground up. You will design and deliver the core training and remediation loop that ensures AI systems behave safely and reliably in production, giving you genuine 0 to 1 engineering scope with immediate impact.
The Company
They are an early stage AI business focused on improving the safety and reliability of AI systems in production environments. Their platform continuously tests AI applications, detects unsafe or unintended behaviour, and deploys targeted fixes. Operating at the intersection of machine learning, security, and infrastructure, they are tackling a rapidly growing challenge as organisations scale their use of AI. With a small, highly technical team, they offer close collaboration with leadership and significant ownership from day one.
The Role

• Build and own end to end training and remediation pipelines for AI systems, from signal detection through to deployment and monitoring
• Develop reinforcement learning and preference optimisation workflows, including approaches such as DPO and RLHF
• Translate behavioural issues into structured training data and deploy effective model improvements
• Create scalable evaluation and testing systems to ensure fixes perform reliably in production
• Work across multiple models and deployments, turning one off fixes into reusable tooling
• Improve system performance, reliability, and efficiency as the product evolves

Your Skills & Experience

• Strong commercial experience in machine learning engineering, with deep expertise in Python and PyTorch
• Proven ability to train, fine tune, and deploy models in production environments
• Hands on experience with reinforcement learning or preference optimisation techniques such as DPO, RLHF, or PPO
• Strong understanding of end to end ML pipelines, from data preparation through to monitoring
• High standards for code quality, architecture, and readability
• Comfortable operating in an early stage environment with ambiguity and ownership
• Experience designing evaluation systems or working on AI safety, trust, or security is beneficial

What They Offer

• Base salary between $200,000 and $240,000, with flexibility for the right candidate
• Meaningful early stage equity package
• Comprehensive benefits including healthcare, retirement, and generous holiday allowance
• The opportunity to build a core platform from scratch and shape technical direction
• Close collaboration with founders and engineering leadership

How to Apply
To find out more or apply for this ML Engineer role, please get in touch with your updated CV.

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Senior AI Platform Engineer

up to £130,000 + Benefits
Remote (UK based)

This is a great opportunity to join a high‑growth organisation where you can take ownership of building an AI‑driven platform that powers next‑generation design systems and agentic workflows.

THE ROLE:

You will take ownership of building and evolving AI‑powered platform capabilities, working across product, platform, and AI layers. Key responsibilities include:

• Designing and building agentic workflows that interact with codebases, documentation, and design systems
• Developing orchestration layers and AI systems that transform structured and unstructured data into scalable capabilities
• Building reliable, production‑ready AI features using modern LLM frameworks and retrieval systems
• Creating APIs and integrations that connect AI capabilities with external tools
• Collaborating closely with product and design to deliver high‑quality, user‑focused solutions end‑to‑end

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Building production‑grade AI systems, including agent workflows and orchestration layers
• Working with LLM frameworks (e.g. LangChain or similar), retrieval systems, and AI platforms
• Full‑stack engineering across frontend, backend, and platform layers
• Strong React experience with modern patterns (hooks, component architecture)
• A product‑focused mindset with a passion for user experience and high‑quality delivery

THE BENEFITS:

You will receive a salary of up to £130,000 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.

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Principal Engineer (AI)
£150,000 – £170,000 + benefits
London (Hybrid)
This is a great opportunity to join a high‑growth, PE‑backed organisation where you can take ownership of building and scaling an AI‑native data platform from the ground up.

THE COMPANY:

The group’s mission is to unify their businesses into a single, powerful data platform, creating comprehensive global datasets. With strong funding and a clear acquisition strategy, they are building a category‑defining B2B data business.

THE ROLE:

You will take ownership of building and rapidly iterating on core platform features as part of a highly agile engineering team. Key responsibilities include:

• Developing and shipping working prototypes within days
• Building and improving data platform components and internal tools
• Turning complex data assets into user‑ready products
• Collaborating with senior engineers and leadership on architecture decisions
• Helping modernise and scale early‑stage prototypes into production systems

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong experience in Python, SQL, and TypeScript
• Hands‑on software engineering experience
• Proven ability to build and deliver products quickly in fast‑paced environments
• Experience working with data‑heavy systems or platforms
• Solid understanding of modern engineering practices

THE BENEFITS:

You will receive a salary of £150,000 – £170,000 depending on experience, along with a comprehensive benefits package and the opportunity to shape a high‑impact AI platform from day one.

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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Founding AI Engineer

Fort Worth, TX (4 Days Onsite – Non-Negotiable)
Compensation: Up to $300,000 Base + Meaningful Equity

About the Opportunity

We are partnering with a well-capitalized, publicly traded company undergoing a significant AI-driven transformation. The organization operates in a highly data-rich environment and is making a substantial long-term investment in artificial intelligence, software development, automation, and intelligent decision systems.

This is not a research role.

This is an opportunity for a highly capable AI Engineer to build production-grade AI products that solve real business problems, influence strategic decisions, and ultimately become core to the company’s competitive advantage. The successful candidate will work directly with executive leadership and have a meaningful role in shaping the company’s AI roadmap from the ground up.

Why This Role Stands Out

Most AI jobs today focus on prototypes, experimentation, and proof-of-concepts.

This role is different.

You’ll be responsible for building AI systems that are actively used, trusted, and integrated into day-to-day operations. You’ll have the autonomy to identify opportunities, architect solutions, deploy production applications, and see the direct impact of your work across the business.

For engineers who enjoy operating at the intersection of:

• AI Agents
• LLM Infrastructure
• Full-Stack Product Development
• Data Systems
• Model Fine-Tuning
• Automation & Workflow Design

this is a rare opportunity to build something meaningful from an early stage.

What You’ll Be Building

AI Products & Agentic Systems

• Design and deploy AI agents that automate complex workflows.
• Build production-ready LLM applications for internal and external users.
• Develop agent orchestration frameworks and AI-powered decision-support systems.
• Create scalable architectures that move beyond demos into real-world business applications.

Generative AI Infrastructure

• Implement RAG pipelines and vector database architectures.
• Develop evaluation frameworks to measure model performance and reliability.
• Fine-tune and customize models using LoRA and modern adaptation techniques.
• Work with open-source and commercial LLM ecosystems.

Full-Stack Product Development

• Develop backend services and APIs in Python.
• Build user-facing applications using modern frontend frameworks such as React and TypeScript.
• Create intuitive interfaces that make AI useful for technical and non-technical users alike.

Data & Platform Engineering

• Design scalable data architectures and database-backed applications.
• Connect AI systems with operational and business data sources.
• Ensure applications are observable, maintainable, secure, and performant in production environments.

What We’re Looking For

We are interested in builders.

The ideal candidate has experience taking an idea from concept to deployment and can comfortably operate across multiple layers of the stack.

Core Requirements

• Strong professional software engineering experience in Python.
• Experience building production-grade AI applications.
• Hands-on experience with:
  • AI Agents
  • RAG architectures
  • Vector databases
  • LangChain, LangGraph, or similar frameworks
  • LoRA fine-tuning workflows
  • LLM evaluation methodologies
• Experience developing APIs, backend services, and scalable systems.
• Strong understanding of application security and software architecture.
• Demonstrated ability to build software that real users depend on.

Bonus Points

• React and TypeScript expertise.
• Experience serving or self-hosting open-source models.
• Experience with GGUF, Safetensors, or model optimization workflows.
• Background in distributed systems, platform engineering, or MLOps.
• Startup mentality with a bias toward execution and ownership.

Who Thrives Here

This environment is best suited for engineers who:

• Move quickly without sacrificing quality.
• Prefer ownership over bureaucracy.
• Want direct access to business leaders and decision-makers.
• Enjoy turning ambiguity into working products.
• Are excited by the opportunity to build AI systems that become mission-critical to an organization.

You’ll be joining a team that views AI as a strategic advantage-not a side project.

Location Requirement

This role is based in Fort Worth, Texas and requires onsite presence four days per week.

This requirement is non-negotiable. The company believes the strongest outcomes come from close collaboration between engineering, operations, and leadership teams, and has intentionally built an onsite-first culture around innovation and execution.

Compensation

• Base salary up to $300,000
• Meaningful equity participation
• Long-term wealth creation opportunity
• Executive visibility and influence
• Opportunity to help define the future direction of AI within the organization

Confidential Search

This search is being conducted on a confidential basis. Further company details will be shared with qualified candidates during the interview process.

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Growth Analyst (Marketing & Product)

London (Hybrid) – Up to £80k

The Opportunity

We’re partnering with a fast-growing consumer brand looking for a Growth Analyst to drive smarter decision-making across acquisition, retention, and product growth.

This is a highly strategic role where you’ll act as a key partner to marketing and product teams-turning data into actionable insight that directly shapes growth strategy and commercial outcomes.

Key Responsibilities

• Identify growth opportunities across acquisition, conversion, retention, and lifecycle
• Partner with marketing and product teams to shape strategy and prioritisation
• Analyse funnels, cohorts, campaigns, and customer behaviour
• Design and evaluate experiments (A/B tests, incrementality tests)
• Diagnose performance trends and uncover root causes
• Define and track KPIs for growth initiatives
• Translate complex analysis into clear, actionable recommendations
• Work cross-functionally with data, finance, and engineering teams

What We’re Looking For

• Strong experience in growth, marketing, or product analytics
• Advanced SQL skills and experience working with large datasets
• Experience analysing funnels, experiments, and customer lifecycle
• Knowledge of attribution, channel performance, and marketing analytics
• Strong commercial acumen and ability to influence decisions
• Excellent communication and stakeholder management skills
• Proactive, curious mindset with strong problem-solving ability
• Comfortable working in fast-paced, ambiguous environments

Ways of Working

• Hybrid working (with flexibility and WFH options)
• Highly collaborative, cross-functional environment
• Focus on high-impact, decision-led analytics
• Strong emphasis on experimentation and continuous improvement

Benefits

• Competitive salary + benefits package
• Private health insurance (including dental and optical)
• 26+ days holiday (including birthday) + tenure-based increases
• Work-from-home flexibility + work from anywhere options
• Annual professional development budget
• Pension contributions and enhanced parental leave
• Employee discounts and lifestyle perks
• Regular team socials and a collaborative office culture

How to Apply

If you’re a commercially minded analyst who wants to influence real business decisions and drive growth, we’d love to hear from you.

Apply with your CV or reach out to me!

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Senior Machine Learning Engineer

Location: Remote (USA)

Compensation: Up to $190,000

About the Role

We’re hiring a Senior Applied Machine Learning Engineer to join a high-performing team focused on designing and deploying advanced machine learning systems that power critical decision-making at scale.

This role is ideal for someone with deep expertise in experimentation, statistical evaluation, and production machine learning who enjoys solving complex, ambiguous problems from first principles. You’ll work on high-impact machine learning systems where model performance, scalability, and reliability directly influence business outcomes.

This is a highly technical, research-oriented role with strong ownership across experimentation, model development, and production deployment.

What You’ll Do

Machine Learning Research & Development

Design, prototype, and deploy advanced machine learning models to solve complex decisioning problems

Build and improve multi-model systems and decision frameworks to enhance model performance and robustness

Develop and implement offline evaluation frameworks to assess model performance before production deployment

Design experiments and validation strategies to test hypotheses and improve model effectiveness

Explore and integrate emerging machine learning techniques, tooling, and infrastructure

ML Platform & Infrastructure

Design and build machine learning pipeline components that improve experimentation velocity and production readiness

Work within distributed computing environments to support large-scale model training and evaluation

Improve model monitoring, testing, documentation, and operational reliability across production systems

Partner with engineering teams to improve data pipelines and model deployment workflows

Cross-Functional Collaboration

Partner closely with Product, Engineering, and business stakeholders to translate complex business problems into machine learning solutions

Align technical solutions with product strategy, operational goals, and customer outcomes

Communicate model performance, experimental results, and technical tradeoffs clearly across teams

Technical Excellence

Champion best practices in experimentation, statistical rigor, and machine learning development

Help raise the technical bar across model design, evaluation, and deployment workflows

Mentor peers and contribute to a culture of scientific excellence and continuous improvement

What We’re Looking For

4-6+ years of experience in production machine learning or applied research environments

Strong expertise in Python, SQL, and distributed computing frameworks such as Spark

Deep understanding of machine learning theory, statistical evaluation, and experimental design

Proven experience designing and building machine learning systems from scratch, from problem definition through production deployment

Strong experience working with large-scale datasets and distributed model training workflows

Experience building robust offline evaluation methodologies and model validation frameworks

Strong foundation in statistics, optimization, or machine learning research

Ability to operate in ambiguous environments and independently drive technical solutions

Preferred Qualifications

PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Experience in risk modeling, trust & safety, anomaly detection, or related decisioning domains

Experience with ensemble methods, ranking systems, or optimization frameworks

Familiarity with modern ML infrastructure and large-scale experimentation systems

Why Join?

This is an opportunity to work on technically challenging machine learning problems at scale, with strong ownership over experimentation, model design, and production systems. You’ll help shape the future of machine learning strategy in a fast-moving, high-impact environment.

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Data Architect (AI & Advanced Analytics)

Location: Remote (USA)
Compensation: $210,000 – $230,000 Base Salary

About the Role

We’re hiring a Data Architect to lead the design and evolution of modern data ecosystems that support advanced analytics, machine learning, and AI-driven decision-making across the business.

This is a senior technical role focused on building scalable data foundations, enabling analytical innovation, and improving how data is structured, governed, and consumed across the organization. You’ll work across data architecture, advanced analytics, and machine learning enablement to support high-impact business initiatives.

This role is ideal for someone who combines strong architectural thinking with hands-on experience supporting modern data and AI workflows.

What You’ll Do

Data Architecture & Platform Design

• Design and implement scalable data architectures that support analytics, machine learning, and operational reporting
• Define data models, storage strategies, and governance frameworks across distributed and cloud-native environments
• Build and improve modern data platform patterns including domain-oriented ownership, federated governance, and scalable data products
• Partner with engineering teams to improve data reliability, accessibility, and lineage across the organization

Advanced Analytics Enablement

• Support the development and deployment of predictive, optimization, and machine learning solutions across multiple business domains
• Build frameworks that improve experimentation, measurement, and analytical rigor
• Help shape data workflows that support production machine learning systems and advanced analytics applications
• Collaborate with teams to improve data quality and readiness for analytical and AI use cases

Insights & Business Partnership

• Analyze complex datasets to uncover trends, opportunities, and performance drivers
• Translate technical findings into strategic recommendations for business and product stakeholders
• Partner cross-functionally with Product, Engineering, Analytics, and Leadership teams to align data architecture with business goals

Leadership & Best Practices

• Establish architectural standards and best practices across data platforms and analytical systems
• Mentor engineers, analysts, and data practitioners across architecture and platform design
• Drive improvements in data governance, quality, and platform scalability
• Evaluate emerging technologies and identify opportunities to improve data systems and analytical capabilities

What We’re Looking For

• 7-10+ years of experience in Data Architecture, Data Engineering, Machine Learning, or Advanced Analytics
• Strong experience designing and implementing modern cloud-based data architectures
• Expertise in Python, SQL, and modern analytical tooling
• Strong understanding of distributed data systems, data modeling, and scalable platform design
• Experience supporting machine learning workflows and production analytical systems
• Strong experience with cloud-native data platforms and storage systems
• Experience with experimentation frameworks, measurement systems, and performance analysis
• Strong communication skills with the ability to work across technical and business teams
• Proven experience influencing data strategy and architectural direction

Preferred Qualifications

• Experience with data mesh, lakehouse, or federated data architectures
• Exposure to modern machine learning platforms and cloud-native AI tooling
• Experience with enterprise-scale analytics platforms and large data ecosystems
• Cloud certifications or advanced analytics certifications are a plus
• Experience in regulated or highly data-sensitive industries is beneficial

Why Join?

This is an opportunity to shape the future of data architecture within a growing organization where data and AI are central to product strategy and business performance. You’ll work on complex technical challenges, influence long-term architecture decisions, and build scalable systems that support the next generation of analytics and machine learning.

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