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Data Engineering Manager

London (Covent Garden – 4 x week) £100,000 to £120,000

This is a unique opportunity to join a high-performing value creation team within a private equity environment, where data sits at the centre of commercial decision-making. You will play a key role in shaping how portfolio businesses leverage data, analytics, and AI to drive measurable growth, working across strategy and hands-on delivery.

The Company

They are a specialist private equity firm focused on investing in lower mid-market businesses. Their model centres on driving value through operational improvement, with a dedicated internal team focused on data, analytics, and AI initiatives across the portfolio. The environment is collaborative, commercially driven, and offers strong exposure to senior stakeholders across multiple businesses.

The Role

You will work across a portfolio of companies, delivering impactful data projects from inception through to implementation.

• Partner with senior leadership including C-suite stakeholders to define data strategies and priorities
• Design and build modern data platforms, including ingestion pipelines and scalable architectures
• Deliver data collection, transformation, and analytics frameworks to support business growth
• Identify and implement high-value analytics and AI use cases
• Translate commercial challenges into technical solutions with clear business outcomes
• Balance hands-on engineering work with strategic input across multiple projects
• Operate as a trusted voice of authority across both technical and non-technical teams

Your Skills and Experience

• Strong commercial experience in data engineering within complex or fast-paced environments
• Advanced SQL and Python, with end-to-end ownership of data pipelines and architecture
• Experience designing and delivering modern data platforms and ingestion frameworks
• Strong understanding of analytics and how data drives business value
• Ability to communicate effectively with senior stakeholders and influence decision-making
• Experience working across both strategy and delivery, with a pragmatic approach
• Exposure to AI or machine learning use cases is beneficial
• Comfortable working across multiple projects and adapting to different business contexts

What They Offer

• High-impact role with exposure to senior leadership and strategic initiatives
• Strong work-life balance with a collaborative and supportive culture
• Office based in Covent Garden with a hybrid model (four days in office)
• Opportunities to work across diverse industries and complex data challenges
• Clear progression opportunities within a growing function

How to Apply

If you are interested in this role, please submit your application for consideration.

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I’m hiring an Analytics Engineer on a 12‑month maternity cover FTC for a purpose‑driven digital health organisation.

This is a hands‑on, high‑impact role focused on owning the modelling layer of a modern data stack – ensuring critical pipelines continue to deliver as the business scales.

The company

A fast‑growing digital healthcare provider working with NHS trusts, insurers, and private healthcare organisations.

They’re building a modern data platform to support clinical outcomes and operational performance, with a strong focus on“data for good” and real‑world impact.

The role

You’ll step into a Senior Analytics Engineering seat, taking ownership of core dbt models and pipelines that underpin business‑critical reporting and billing processes.

This role is central to ensuring continuity – keeping momentum on existing builds while contributing to new modelling work.

What you’ll be doing

• Own and deliver in‑flight data projects (including billing automation pipelines)
• Build and maintain dbt models (fact tables, dimensions, metric layers)
• Design and enforce strong data modelling standards (star schema, grain, metadata discipline)
• Review SQL and dbt work from analysts, supporting best practice and quality
• Work closely with data engineering on pipeline workflows (bronze → silver → gold)
• Ensure clean documentation and handover at the end of the contract

Tech stack

• dbt (core focus)
• SQL & Python
• Databricks / modern lakehouse architecture
• Power BI + semantic layer for reporting

What you bring

Must‑haves

• Strong hands‑on dbt experience (modelling, testing, review)
• Advanced SQL skills
• Strong understanding of data modelling (star schema, grain, dimensions/facts)
• Experience working in modern cloud data environments
• Ability to review and improve other analysts’ work

Nice to have

• Databricks / lakehouse experience
• Experience with finance / billing data
• Experience in regulated environments (healthcare, finance, etc.)

What they’re looking for

• A confident, independent analytics engineer
• Someone comfortable stepping into an existing setup and adding value quickly
• Strong attention to quality, documentation, and best practice
• Comfortable working in a collaborative, low‑ego environment

Why this role

• High ownership of a critical part of the data platform
• Work on meaningful projects in a mission‑driven organisation
• Modern tech stack with strong engineering practices
• Fully remote, flexible working
• Opportunity to leave a lasting impact on how the platform is built

Interview process

• Initial conversation (technical + fit)
• Short SQL/dbt test
• Final technical + values interviews

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Analytics Engineer – 12 Month Fixed Term Contract

£70,000 – £90,000

Fully Remote

This is an opportunity to join a mission-driven organisation at a pivotal stage in its data journey. You will take ownership of a modern analytics stack while shaping how data supports real-world outcomes at scale. This role offers autonomy, meaningful impact, and the chance to work in a collaborative, purpose-led environment.

The Company

They are a growing digital health organisation focused on delivering accessible, high-quality support through technology. Operating in a highly regulated environment, they are building robust data capabilities to support both clinical and operational decision-making. With a fully remote model and a collaborative culture, they emphasise flexibility, trust, and meaningful work. Their data platform is evolving rapidly, creating an exciting opportunity to influence its development.

The Role

You will join a small, high-impact data team, taking responsibility for maintaining and extending core analytics pipelines. This is a hands-on role where you will work across modelling, data quality, and platform development.

• Own and maintain analytics models using dbt
• Ensure the reliability of billing and automation pipelines
• Build new data models to support evolving business needs
• Collaborate closely with data engineering on platform development
• Review and improve SQL and dbt models across the analytics function
• Contribute to a modern cloud-based data platform, including lakehouse architecture
• Work autonomously in a fast-moving, evolving environment

Your Skills and Experience

• Strong commercial experience with dbt for data modelling
• Advanced SQL and solid Python capability
• Experience working with modern cloud data platforms or lakehouse environments
• Exposure to Databricks is beneficial
• Ability to operate independently and manage priorities in a small team
• Comfortable working in environments that are still maturing and evolving
• Experience in regulated industries or working with governed data environments is advantageous
• Interest in purpose-driven or health-focused sectors is a plus

What They Offer

• Salary between £70,000 and £90,000 depending on experience
• 12 month fixed-term contract
• Fully remote working with flexible hours
• 30 days holiday plus bank holidays and one volunteering day
• Private health insurance including medical, vision, and wellbeing support
• Home office set-up support
• Optional coworking space access if based near colleagues
• A supportive, collaborative environment with no micromanagement

How to Apply

Please submit your CV to be considered for this opportunity. Please note we cannot consider candidates that require sponsorship.

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Analytics Engineer

Fully Remote (UK based) | £70,000 to £90,000 + benefits | 12 month fixed-term contract

This is an opportunity to step into a high-impact Analytics Engineer role within a modern data team, supporting critical data products during a planned maternity cover. You will play a key role in maintaining and evolving core data models and pipelines, ensuring continuity across business-critical reporting while contributing to new development work.

The Company

They are a fast-growing, fully remote organisation operating in the digital health space, focused on improving outcomes through accessible services and data-led decision making. With a strong social impact mission, they support individuals and organisations with specialist services in a highly regulated environment. Their data function has recently transitioned from early-stage infrastructure into a more mature platform, making this an exciting time to join. Collaboration is remote-first, with optional in-person meet-ups in London.

The Role

You will join a small, high-performing data team, working closely with a Senior Data Engineer and analysts. This role focuses on maintaining momentum across key data initiatives while contributing to ongoing platform development.

• Take ownership of billing and reporting data pipelines, ensuring they remain stable and deliver accurate outputs
• Build, maintain, and optimise dbt models across fact and dimension layers
• Develop new data models to support evolving business requirements
• Work closely with engineering to support data platform workflows across a cloud lakehouse environment
• Review SQL and dbt work from analysts, supporting best practices and production standards
• Operate effectively in a fast-moving environment, taking ownership of deliverables with minimal oversight

Your Skills and Experience

• Strong hands-on experience with dbt, including building and maintaining models
• Advanced SQL skills and experience working with Python in a data context
• Experience working within a modern cloud data platform or lakehouse environment
• Solid understanding of data modelling principles, including star schemas
• Ability to work autonomously and manage priorities in a less structured environment
• Comfortable navigating ambiguity and contributing to evolving data practices

Desirable:

• Experience with Databricks or similar platforms
• Background working with regulated data environments or governance-heavy organisations
• Exposure to billing, finance, or reporting pipelines

What They Offer

• Salary between £70,000 and £90,000
• 12 month fixed-term contract with clear handover period
• Fully remote working with flexible hours
• 30 days annual leave plus bank holidays and one volunteering day
• Private health insurance, including mental health and wellbeing support
• Home office equipment provided
• Optional co-working support for those based near colleagues

How to Apply

Please apply below or send your CV

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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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