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Marketing Data Analyst
London | £80,000 + Benefits | Hybrid (3 days in office) | 12-13 month FTC
This is a unique opportunity to join a highly regarded digital-first business in a role focused on marketing and customer analytics. Sitting within an established analytics function, you will work closely with performance marketing stakeholders to drive insight, optimise campaigns and influence commercial decisions. The role offers strong exposure to senior stakeholders and the chance to work with large-scale customer data in a fast-moving environment.
The Company
They are a global, technology-led business with a strong digital presence and a long-standing reputation for innovation. With a large and diverse customer base, they generate significant volumes of behavioural and marketing data that underpin decision making across the organisation. Data and analytics are central to their strategy, with continued investment in tools, people and capability. The business offers a collaborative and fast-paced culture, distinct from traditional organisations in its sector.
The Role

• Analyse marketing campaign performance across digital channels to deliver actionable insights
• Support customer acquisition, retention and engagement strategies through data-driven recommendations
• Partner closely with performance marketing teams to optimise campaigns and improve ROI
• Design and evaluate A/B tests and experimentation frameworks
• Build dashboards and automate reporting to enable self-service analytics
• Act as a key point of contact for marketing analytics, supporting stakeholders with data-driven decision making
• Collaborate with product, engineering and analytics teams to improve data capabilities

Your Skills & Experience

• Strong SQL capability, including experience working with large datasets
• Commercial experience in marketing analytics, particularly digital performance marketing
• Hands-on experience with A/B testing and experimentation
• Familiarity with tools such as Google Analytics or similar web analytics platforms
• Ability to translate data into clear insights for non-technical stakeholders
• Experience working in a technology-led, digital or high-growth environment
• Exposure to modern data tools such as DBT is beneficial but not essential

What They Offer

• Salary of £80,000
• 12 percent flexible benefits allowance
• Hybrid working with three days per week in the office
• Modern central London office location
• Opportunity to influence senior stakeholders and shape marketing analytics strategy
• Exposure to a growing analytics function with potential longer-term opportunities

How to Apply
If you are interested in this Marketing Data Analyst role, please apply with your CV and we will be in touch to discuss further.

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Portfolio Analytics Manager
Watford Junction (Hybrid, 3 days per week) | Up to £89,000 + 10% bonus
This is an exciting opportunity to join a highly visible analytics function during a major business transformation. You will play a key role in shaping how data is used to drive commercial performance, working closely with senior stakeholders across digital, retail, and strategy.
The Company
They are a large, customer-focused organisation operating across both digital and physical channels, currently undergoing significant transformation. With a strong emphasis on data-led decision making, they are investing heavily in analytics to unlock commercial growth and improve customer outcomes. The business fosters a collaborative environment where analytics is central to strategic planning. You will join a team that is evolving its capabilities and influence across the organisation.
The Role
You will sit within a central insight and analytics function, acting as a bridge between data and commercial decision making. Key responsibilities include:

• Working with large, complex datasets to generate actionable insights using SQL and Python
• Translating analysis into clear, commercially relevant recommendations for stakeholders
• Supporting KPI reporting and developing scalable dashboards using Power BI
• Designing and evaluating A/B tests to optimise business performance
• Delivering customer and marketing analytics, including segmentation, cohort analysis, and lifetime value modelling
• Partnering with digital, retail, finance, and strategy teams to influence decision making
• Improving reporting frameworks, metric consistency, and data quality processes
• Navigating ambiguity and incomplete data to provide pragmatic, insight-led solutions

Your Skills & Experience

• Strong commercial experience with SQL and the ability to work with large, complex datasets
• Experience using Python or similar tools for analysis and automation
• Proficiency in Power BI or other dashboarding tools
• Background in customer or marketing analytics, including segmentation and test and learn methodologies
• Ability to translate data into clear business recommendations and influence stakeholders
• Experience working across multiple data sources in complex environments
• Strong analytical thinking with a proactive and collaborative approach

What They Offer

• Salary up to £89,000 plus 10% bonus
• Hybrid working model with flexibility
• High-impact role with exposure to senior leadership
• Opportunity to shape analytics capabilities within a transforming business
• Broad cross-functional exposure across both digital and physical channels
• A collaborative environment that supports growth and development

How to Apply
Apply now with your CV to learn more about this opportunity.

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Senior Marketing Manager (Global Campaigns)

UK (Hybrid) – Central London

Up to £65,000

The Opportunity

We’re working with a global education organisation seeking a Senior Marketing Manager to lead high-impact, multi-market campaigns and shape global marketing strategy.

This is a senior, highly visible role where you’ll own pan-regional campaigns, elevate brand consistency, and drive measurable recruitment and commercial outcomes across diverse international audiences.

Key Responsibilities

• Lead global, multi-channel marketing campaigns from strategy through execution
• Define and optimise end-to-end customer journeys across key audiences
• Develop global messaging frameworks, value propositions, and campaign narratives
• Partner cross-functionally with digital, product, content, and regional teams
• Improve campaign performance through insight, data, and experimentation
• Drive marketing quality through frameworks, best practices, and playbooks
• Act as a senior advisor to regional teams to elevate campaign delivery

What We’re Looking For

• Extensive experience in senior marketing roles across multiple markets
• Proven success delivering integrated, multi-channel campaigns
• Strong strategic thinking with hands-on delivery capability
• Excellent stakeholder management in complex, matrix environments
• Strong commercial mindset with experience using data to drive decisions
• Background across brand, digital, content, and customer experience
• Strong copywriting and messaging development skills
• Proactive, solutions-driven mindset with the ability to influence at senior level

Ways of Working

• Hybrid working model
• Highly collaborative, matrix environment
• Balance of strategic ownership and hands-on execution
• Focus on innovation, experimentation, and continuous improvement

Benefits

• Competitive salary + performance-based bonus
• Flexible and hybrid working options
• Opportunities for international exposure and impact
• Ongoing professional development and training
• Collaborative, inclusive culture with strong cross-team support
• Access to modern tools, including AI-enabled marketing capabilities
• Generous annual leave and wellbeing initiatives

How to Apply

If you’re a strategic, commercially-minded marketing leader looking to make a global impact, we’d love to hear from you.

Apply now with your CV or reach out to me!

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Title: Research Engineer, GPU

Location: USA Remote

Compensation: Up to $400k + Equity

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a deeply technical, high-impact role focused on making large-scale AI systems faster, more efficient, and capable of running in real time. You’ll work across the stack, from low-level GPU kernels to distributed training systems, directly influencing what is computationally possible for next-generation AI models.

What You’ll Do

• Optimize training throughput across large GPU clusters, improving efficiency and utilization
• Implement techniques such as mixed precision (FP8, BF16), memory-efficient attention, and checkpointing
• Design and scale distributed training systems (tensor parallelism, FSDP, multi-node setups)
• Profile and optimize inference pipelines for real-time multimodal generation
• Improve latency through CUDA graphing, KV cache optimization, and operator fusion
• Contribute across the stack, from kernel-level optimization to system-level architecture

Requirements

• 4+ years of experience in systems engineering, ML infrastructure, or performance optimization
• Strong experience with GPU programming (CUDA, Triton, or similar)
• Experience with distributed systems and large-scale training (NCCL, model parallelism)
• Familiarity with ML framework internals such as PyTorch or JAX
• Experience with mixed or low-precision techniques (FP8, INT8, BF16)
• Proven experience building and operating scalable, fault-tolerant training systems
• Strong interest in pushing the limits of performance for cutting-edge AI systems

Nice to Have

• Experience with compiler optimizations or model compilation (e.g., PyTorch compile)
• Background working on large multimodal or generative models
• Exposure to real-time inference systems

If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

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Title: Senior Machine Learning Engineer, Media Generation

Location: Remote

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms.

This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You’ll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments.

What You’ll Do

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
• Work across computer vision and graphics to generate meshes, textures, and motion
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
• Integrate ML systems into user-facing creative tools and applications
• Collaborate with product, engineering, and creative teams to ship AI-powered features
• Manage ML infrastructure including datasets, experiments, and deployment pipelines
• Stay up to date with emerging research and apply new techniques to production systems

Requirements

• Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
• 3+ years of experience in machine learning, computer vision, or computer graphics
• Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
• Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
• Solid understanding of 3D graphics, computational geometry, or related areas
• Experience working in cross-functional teams and communicating technical concepts clearly

Nice to Have

• Experience with 3D reconstruction, tracking, or geometry analysis
• Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
• Experience scaling ML models and optimizing training pipelines
• Background in distributed training, data pipelines, and experiment tracking
• Publications or contributions to research or open-source projects

If you’re interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.

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Title: AI Engineer

Location: Remote, United States

Compensation: Up to $250,000 + Equity

We’re partnered with a mission-driven healthcare technology company working at the intersection of clinical data and AI. They’re reimagining how complex clinical workflows are automated, with a focus on making high-quality healthcare data more accessible, structured, and actionable. This is a company building something genuinely novel in a space where the stakes are high and the impact is real.

This is a high-impact role where you will lead AI innovation from the ground up. You won’t just be implementing models, you’ll own the full lifecycle of production AI systems, define how clinical data is extracted and structured at scale, and influence the company’s long-term AI direction. The work spans LLMs, computer vision, and mixed-modal approaches in a domain where rigor and accuracy are non-negotiable.

What You’ll Do

• Design, develop, and deploy novel AI/ML systems – with a focus on LLMs and computer vision – to recover, extract, and automate clinical data tasks across diverse data types including medical records, imaging, and clinical reports
• Build robust prototypes and transition them to scalable, near-production-ready code, applying strong software engineering fundamentals throughout
• Design and execute rigorous statistical validation and evaluation frameworks, defining performance metrics and ensuring models meet stakeholder-defined accuracy thresholds
• Own the human-in-the-loop (HITL) lifecycle, ensuring deployed models can continuously improve over time through structured feedback capture
• Partner closely with software engineering to bring proof-of-concept solutions into production, contributing to key architectural decisions along the way
• Proactively identify high-impact AI opportunities across the business and define how advanced capabilities can address them
• Champion best practices for documentation, experimentation, and code quality across the model development lifecycle – and potentially mentor others in doing the same
• Actively evaluate state-of-the-art approaches, bringing innovative ideas and methods to the team
• Apply and uphold healthcare data privacy regulations and ethical standards in all AI development work

Requirements

• MSc or PhD in computer science, engineering, applied mathematics, statistics, or a related field; BSc with equivalent demonstrated experience also considered
• 2-5+ years of relevant experience in AI/ML engineering or data science, with increasing scope and responsibility over time
• Deep hands-on Python expertise; polyglot coder comfortable across modern programming languages
• Significant experience with at least one deep learning framework (PyTorch, TensorFlow, etc.) applied to LLMs or computer vision in production contexts
• Proven knowledge of the healthcare data domain in at least one area: EHR/EMR, clinical imaging, clinical workflows, or clinical research
• Extensive experience with modern cloud compute and storage platforms (AWS, Azure, Databricks, Snowflake, etc.)
• Solid understanding of database technologies (SQL, NoSQL, etc.)
• Strong familiarity with SDLC and agile methodologies
• Ability to independently architect end-to-end solutions and clearly communicate how they deliver business value
• Excellent written and verbal communication skills – including the ability to present complex technical concepts to non-technical stakeholders

Nice to Have

• Experience with computer vision or multimodal model development
• Background in clinical research, regulated healthcare environments, or medical data pipelines
• Familiarity with EDC systems or clinical trial data infrastructure
• Experience designing or improving HITL feedback systems in production
• Exposure to AI evaluation frameworks or quality assessment tooling

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Title: Senior AI Product Engineer
Location: San Francisco, CA (Hybrid)
Compensation: Up to $260,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you’ll help define how AI feels to the customer, not just how it’s built. You won’t own backend infrastructure, instead, you’ll make foundational decisions about how LLMs, agents, and RAG pipelines translate into real product experiences, working across streaming interfaces, agentic workflows, and guided automation in production.

What You’ll Do

• Build AI-powered product features end-to-end, from React/TypeScript UI through Node.js/Python backend, with real-time streaming and human-in-the-loop interaction patterns
• Partner with AI Engineers to define API contracts and output schemas, translating RAG pipelines and agentic workflows into intuitive interactions
• Advocate for the user’s perspective in technical decisions, surfacing where model outputs break down and iterating the product layer accordingly
• Build user-facing feedback loops that capture signal on AI output quality and feed it back to the broader AI team
• Instrument AI features with product-level observability, including latency, engagement, and drop-off, alongside full-stack integration testing
• Establish reusable patterns (streaming hooks, feedback components, AI state management) to accelerate future AI feature development
• Mentor engineers newer to AI product development and contribute to design reviews

Requirements

• 7+ years of software engineering experience with a proven track record shipping full-stack features in production, including 2+ years on AI-powered product features
• Strong proficiency in React and TypeScript, with experience building responsive UIs that handle async, streaming, and real-time data
• Solid Python and Node.js skills, with experience integrating APIs from LLM providers and orchestration frameworks
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, and structured outputs in production
• Familiarity with agent frameworks (LangGraph, LangChain, or custom runtimes) and building product surfaces on agentic workflows
• Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and UIs that handle progressive or uncertain outputs
• Strong product sense and a track record of cross-functional collaboration with AI/ML engineers, PMs, and designers

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Senior Marketing Manager
This is an excellent opportunity to shape global marketing strategy and lead campaigns that deliver measurable growth across multiple markets. You will play an important role in aligning brand, digital and campaign activity while influencing senior stakeholders and improving marketing effectiveness at scale.

The Company
They are a globally operating organisation with a strong presence across international markets. Their marketing function is designed to balance global consistency with local market relevance, enabling teams to deliver insight-led campaigns. The business places strong emphasis on collaboration, data-driven decision making, and continuous improvement. You will be joining a forward-thinking environment that supports innovation and career growth.

The Role

• Lead the development and delivery of integrated, multi-channel marketing campaigns across global markets
• Own and optimise the end-to-end customer journey across key audience segments to improve engagement and conversion
• Develop scalable messaging frameworks aligned to wider business objectives
• Partner with cross-functional teams including digital, content, product marketing and design to ensure cohesive delivery
• Provide strategic guidance to regional marketing teams to improve campaign quality and consistency
• Use insight, experimentation and performance data to inform decisions and enhance outcomes
• Drive alignment across teams in a complex, matrix environment to ensure consistent brand execution

Your Skills and Experience

• Commercial experience delivering integrated marketing campaigns across multiple markets or functions
• Proven ability to manage campaigns from concept through to execution and optimisation
• Strategic thinking combined with a hands-on approach
• Confident stakeholder management and influencing skills in matrix organisations
• Experience working across brand, digital, content and customer experience
• Strong analytical skills with the ability to use data to guide decisions
• Excellent communication and copywriting skills for international audiences
• Proactive, solutions-focused mindset with strong ownership and judgement

What They Offer

• Competitive salary and benefits package
• Opportunity to shape global marketing strategy and campaign direction
• Exposure to senior stakeholders and cross-functional leadership
• A collaborative and innovative working environment
• Clear opportunities for progression

How to Apply
Apply now to find out more and take the next step in your marketing career.

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Senior Analytics Engineer

Location: Remote

Salary: $150-170k base

We’re partnering exclusively with a fast-growing SaaS company to find a Senior Analytics Engineer to join their data team. This is a high-impact, high-autonomy role sitting at the intersection of data engineering and analytics, perfect for someone who takes pride in building data foundations that the whole business relies on.

What You’ll Be Doing

• Designing and building dimensional data models in Snowflake that underpin analytics across the business
• Developing and optimising dbt models to turn raw source data into clean, trusted datasets
• Partnering with analysts and business stakeholders to translate their needs into scalable data solutions
• Implementing data quality checks and owning the reliability of analytics datasets
• Contributing to data governance including PII handling, metadata management, and documentation
• Supporting strategic analytics across customer journeys, revenue metrics, and product usage
• Mentoring junior team members and championing best practices

What We’re Looking For

The company runs a best-in-class modern data stack built around Snowflake, dbt, and Monte Carlo, with data flowing in from Salesforce, HubSpot, Recurly, and core product databases. The team is evolving toward an AI-enabled, domain-oriented data organisation, so there’s real scope to shape the architecture, not just maintain it.

Essential:

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL: complex queries, CTEs, window functions
• Strong hands-on dbt experience
• Snowflake (or equivalent cloud warehouse: BigQuery, Redshift)
• Solid understanding of dimensional modelling and data warehouse design patterns
• Experience with SaaS metrics: MRR, churn, CLV etc.
• Python for data work or automation
• Familiarity with data orchestration tools (Airflow / MWAA)
• Comfortable working remotely and cross-functionally with distributed teams

Nice to have:

• Experience with reverse ETL tools such as Hightouch
• Exposure to BI tools (Hex preferred)
• Understanding of data mesh or domain-oriented architecture concepts

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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