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SENIOR CRM EXECUTIVE – 9-Month Maternity Cover

SALARY – UP TO £40,000

REMOTE – UK (Can ne hybrid in London/Leicester if needed)

The Company

This role is with a fast-growing membership business with over 4 million members and 15,000+ partners, providing exclusive discounts!

The Role

As a Senior CRM Executive, you’ll help bring campaigns to life for millions of members. Reporting into the Lifecycle Lead, you’ll play a hands-on role in building and delivering engaging CRM journeys across email, SMS, push, and in-app channels using Braze.

The day-to-day:

• Build, schedule, and optimise automated and ad-hoc CRM campaigns
• Write and edit engaging copy that drives clicks and conversions
• Create reusable templates and ensure designs are on-brand
• Support lifecycle journeys across onboarding, renewal, and win-back
• Manage tagging, segmentation, and dynamic content for personalisation
• Monitor campaign performance and contribute to reporting and test plans

About You

• Prior CRM or email marketing experience
• Confident using either Braze or Iterable
• Comfortable writing short, clear, and engaging copy
• Detail-oriented, organised, and proactive in managing multiple campaigns
• A team player who enjoys working in a collaborative, mission-driven business

The Process

• Stage 1: Introductory chat with the Lifecycle Lead
• Stage 2: Task + final interview

BENEFITS

• Salary up to £40,000
• Hybrid/Remote working

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HEAD OF ENGINEERING

Up to £130,000 + BENEFITS

Remote UK based

This is a rare opportunity to lead engineering at scale while working on genuinely complex technical challenges. You’ll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients.

THE COMPANY:

This is a business built on innovation, stability, and genuine technical excellence. Recently recognized for cutting-edge GenAI data work, they’re operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology.

THE ROLE:

• Own and execute the engineering roadmap
• Drive architectural decisions for distributed data processing, ML pipelines, and web architecture
• Ensure systems can scale to handle massive datasets and evolving ML workloads
• Champion best practices around testing, observability, incident response, and documentation
• Set standards for AI-assisted development practices at scale

YOUR SKILLS AND EXPERIENCE:

• Lead multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps

• Understanding how ML models are delivered, deployed, and maintained in production
• Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration
• Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there are some fantastic extra benefits.

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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Senior Media Consultant

£55,000

London

The Company

We are a global marketing and data consultancy helping organisations optimise their digital investment through data, technology, and expert insight. With teams across Europe, the US and Asia, they partner with well‑known international brands on large‑scale digital transformation and media effectiveness projects.

The Role:

This opportunity is to step into a highly consultative Senior Media role where you will shape paid search strategy for major global brands while expanding your skill set across analytics, measurement, and advanced Google Marketing Platform tools. If you are looking to move beyond hands‑on activation and into strategic problem‑solving, this role offers that next step.

* Lead paid search and PPC strategy using Google Ads and related ad‑tech platforms.

* Advise clients directly, translating complex media insights into clear, actionable recommendations.

* Support the delivery of forecasting and dashboarding projects for key global clients.

* Identify optimisation opportunities across keyword strategy, campaign structure and audience targeting.

* Work closely with analytics specialists to integrate media measurement, attribution, and GA‑based reporting.

* Contribute to cross‑channel strategies across search, social, and programmatic platforms.

* Help evolve internal media capability within a team currently strong in analytics.

Your Skills and Experience:

Our UK team is growing, with a strong focus on bridging analytics with media strategy to drive measurable business outcomes. We need an individual with an analytics background, good communication, and consulting skills to take the lead with clients.

• Strong commercial experience in paid search, PPC or programmatic activation.
• Hands‑on use of advertising platforms such as Google Ads, DV360, Campaign Manager, SA360 or Meta Ads Manager.
• Experience advising clients and communicating insights in a clear, commercial way.
• Exposure to multi‑market campaigns or consumer brands.
• Understanding of cross‑channel strategy, media testing and audience‑led planning.
• Working knowledge of Google Analytics and media measurement concepts such as attribution or incrementality.
• Familiarity with dashboarding tools such as Looker, Power BI or Tableau.
• A proactive, detail‑driven and curious approach to problem‑solving.

What They Offer

* Hybrid working in London.

* Opportunity to broaden your expertise into analytics, measurement and GMP.

* Exposure to major global brands and high‑impact digital transformation projects.

* Clear progression within a growing media and analytics consulting team.

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Data Analyst

London – Hybrid (2 days in office)
£50,000 + benefits

THE COMPANY
A fantastic opportunity to join a leading agency specialising in youth‑focused, socially impactful marketing. With 20+ years’ experience and a network of 125k+ teachers and community partners, they deliver multi‑channel campaigns that influence and inspire young people across the UK.

They’re building out a newly formed Marketing & Communications function – and are now hiring an experienced Data Analyst to drive performance insight, optimise campaigns, and shape data‑led decision making.

THE ROLE

As a Data Analyst, you will own strategic reporting across digital, CRM and multi‑channel marketing activity. You’ll translate business goals into measurable KPIs, deliver forecasting, and provide insight to improve campaign effectiveness.

You’ll work closely with internal teams, senior stakeholders, and the Head of NSP Data & Performance, and will mentor a Data Executive.

Key responsibilities include:

• Delivering cross‑channel performance insight and optimisation recommendations.
• Building dashboards in Power BI or Looker Studio.
• Forecasting marketing metrics and supporting budgeting models.
• Managing data quality, segmentation, and CRM data hygiene.
• Ensuring consistent, accurate attribution and campaign evaluation.

YOUR SKILLS & EXPERIENCE

Essential:

• 5+ years’ experience in data, marketing analytics, or performance analysis (agency experience preferred).
• Strong SQL, Excel, and Python or R.
• Proven track record building dashboards (Power BI / Looker Studio).
• Experience forecasting, evaluating campaign performance, and interpreting marketing KPIs.
• Ability to work with CRM, web, and social data.
• Excellent communication and storytelling skills, with the ability to simplify complex insight.

Highly desirable:

• Forecasting / predictive modelling (time‑series, response modelling, churn).
• Experience building KPI frameworks tied to marketing performance.
• Experience coaching junior team members.

Qualifications:

• Degree in a quantitative field (Maths, Statistics, Data Science, Economics, Marketing Analytics, etc.).
• Certifications such as Google Analytics, Power BI, Tableau, CIM (preferred).

HOW TO APPLY

If you want to help shape data‑driven marketing that positively impacts young people across the UK, apply now.

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SENIOR MARKETING ANALYTICS MANGER

LONDON

£90,000

This is an exciting opportunity to take on a highly influential Senior Marketing Analytics Manager role with substantial ownership. You will lead the measurement strategy for a large, complex UK marketing budget, working hands-on across MMM, incrementality, attribution and advanced performance analysis. This role offers genuine autonomy to shape how marketing investment is evaluated and optimised.

The Company
We are a well-established organisation focused on strengthening their marketing effectiveness capability. Operating in a fast-paced and competitive market, we are investing in deeper analytics to better understand channel performance and improve return on spend. They already partner with an MMM agency and are now building internal expertise to drive stronger ownership, faster decision making and an elevated test and learn culture.

The Role

You will lead MMM, attribution and incrementality, using SQL and Python (a plus) to deliver clear, commercial insights and shape optimisation decisions. Ideal for someone who wants real ownership, strong visibility and impact across marketing effectiveness.

• Own the marketing analytics agenda for the UK, our largest and most strategically important market.
  * Lead hands-on measurement across MMM, attribution and incrementality.
  * Evaluate the impact of a significant marketing budget and guide optimisation decisions.
  * Use SQL to extract, validate and analyse large datasets across multiple channels.
  * Build, run and interpret incrementality tests, with Python as an advantage for experimentation and modelling.
  * Deliver clear commercial insights to senior stakeholders, shaping planning, investment and strategy.

Your Skills and Experience
* Strong commercial experience in marketing analytics with a focus on effectiveness and measurement.
* Hands-on experience with MMM, attribution and incrementality testing.
* Strong SQL skills for data manipulation and performance analysis.
* Python experience is a plus, particularly for running experiments or building measurement tools.
* Able to work autonomously, prioritise effectively and take ownership of complex workstreams.
* Confident communicating insights to senior stakeholders.

What We Offer
* Salary up to £90,000 plus benefits.
* A role with significant ownership and influence over measurement in their biggest market.
* Exposure to senior stakeholders and strategic decision making.
* A supportive environment that values analytical development and innovation.

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Job Title: Front-End Software Engineer – React & Python

Location: Eindhoven

Type: Full-Time

About the Company:

A leading global media and marketing organization, the company is focused on leveraging data, AI, and technology to deliver intelligent, scalable solutions for clients worldwide. The company combines deep industry expertise with advanced technology to transform how brands connect with audiences.

Role Overview:

The organisation are seeking a talented Front-End Software Engineer to join its internal technology team. The role will focus on building and maintaining modern, scalable web applications using React for the front-end and Python for backend services. The engineer will work closely with cross-functional teams to deliver high-quality, production-ready software that supports critical business operations.

Key Responsibilities:

• Design, develop, and maintain responsive, user-friendly web applications using React.
• Collaborate with backend engineers working in Python to integrate APIs and services.
• Ensure code quality through testing, code reviews, and adherence to best practices.
• Optimize applications for performance, scalability, and maintainability.
• Work closely with product managers, designers, and stakeholders to translate requirements into technical solutions.
• Contribute to improving internal development processes, CI/CD pipelines, and deployment workflows.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong experience with React, modern JavaScript (ES6+), and front-end frameworks.
• Experience with Python and building backend services or APIs.
• Familiarity with version control systems (e.g., Git) and CI/CD workflows.
• Understanding of web performance, accessibility, and responsive design principles.
• Strong problem-solving skills and ability to work collaboratively in a fast-paced environment.

Preferred:

• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with TypeScript, Node.js, or full-stack development.
• Previous experience in media, advertising, or marketing technology is a plus.

Why Join:

• Work at the intersection of media, data, and technology within a global organization.
• Opportunity to develop production-grade software that impacts core business operations.
• Collaborative, innovative, and inclusive culture with opportunities for continuous learning and growth

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Senior Software Engineer, Machine Learning

$170,000-$215,000 + bonus & benefits

Remote – U.S., UK, or Canada

About the Company

We’re a remote-first product and engineering organization building AI-powered tools that help teams work better together, explore ideas, and make more informed decisions. Our focus is on augmenting human creativity and collaboration, not replacing it, by embedding intelligent systems directly into everyday workflows.

We operate at the intersection of applied machine learning, thoughtful product design, and scalable systems, with a strong emphasis on shipping production AI that delivers real value. The team is globally distributed, highly collaborative, and driven by ownership and impact.

About the Role

We’re hiring a Senior Machine Learning Engineer to design and ship production AI systems that support collaboration and decision-making at scale. This role blends applied ML, product development, and scalable infrastructure, with meaningful ownership over user-facing features.

What You’ll Do

• Build and deploy generative AI and RAG systems used in real workflows

• Develop data pipelines for training, evaluation, and continuous improvement

• Create human-in-the-loop processes to improve model quality

• Partner with product and engineering on user-facing AI features

• Collaborate on training, inference, monitoring, and deployment

What We’re Looking For

• 5+ years building and shipping production ML systems

• Strong Python with PyTorch or TensorFlow

• Experience with LLMs, embeddings, retrieval, or ranking systems

• Comfortable owning systems end-to-end and mentoring others

Nice to Have

• MLOps or ML infrastructure experience

• Experience working on creative or collaboration-focused ML products

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About the Role

We are looking for a Data Analytics Engineer who sits at the intersection of data engineering and analytics. In this role, you will transform raw, messy data from vehicles, APIs, and operational systems into clean, reliable datasets that are trusted and widely used-from engineering teams to executive leadership.

You will own data pipelines end to end and build dashboards that surface insights, track performance, and help teams quickly identify issues.

What You’ll Do

• Build and maintain ETL pipelines that ingest data from diverse internal systems into a centralized analytics warehouse
• Work with unique and high-volume datasets, including vehicle telemetry, sensor-derived signals, logistics data, and system test results
• Write efficient, well-structured SQL to model and prepare data for analysis and reporting
• Design, build, and maintain dashboards (e.g., Grafana or similar) used to monitor system performance and operational health
• Partner closely with engineering, operations, and leadership teams to understand data needs and deliver actionable datasets
• Explore internal AI- and LLM-based tools to automate analysis and uncover new insights

What You’ll Need

• Strong hands-on experience with Python and data libraries such as pandas, Polars, or similar
• Advanced SQL skills, including complex joins, window functions, and query optimization
• Proven experience building and operating ETL pipelines using modern data tooling
• Experience with BI and visualization tools (e.g., Grafana, Tableau, Looker)
• Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect
• High-level understanding of LLMs and interest in applying them to data and analytics workflows
• Strong ownership mindset and commitment to data quality and reliability

Nice to Have

• Experience with ClickHouse or other analytical databases (e.g., Snowflake, BigQuery, Redshift)
• Background working with vehicle, sensor, or logistics data
• Prior experience in autonomous systems, robotics, or other data-intensive hardware-driven domains

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What You’ll Do

• Own and evolve the metrics platform, including schemas, storage layouts optimized for high-volume writes and fast analytical reads, and clear versioning strategies
• Build and maintain a framework for writing and running metrics, including interfaces, examples, local execution, and CI compatibility checks
• Design and implement testing systems for metrics and pipelines, including unit, contract, and regression tests using synthetic and sampled data
• Operate compute and storage systems in production, with responsibility for monitoring, debugging, stability, and cost awareness
• Partner with metric authors and stakeholders across development, analytics, and QA to plan changes and roll them out safely

What You’ll Need

• Strong experience using Python in production, including asynchronous programming (e.g., asyncio, aiohttp, FastAPI)
• Advanced SQL skills, including complex joins, window functions, CTEs, and query optimization through execution plan analysis
• Solid understanding of data structures and algorithms, with the ability to make informed performance trade-offs
• Experience with databases, especially PostgreSQL (required); experience with ClickHouse is a strong plus
• Understanding of OLTP vs. OLAP trade-offs and how schema and storage decisions affect performance
• Experience with workflow orchestration tools such as Airflow (used today), Prefect, Argo, or Dagster
• Familiarity with data libraries and validation frameworks (NumPy, pandas, Pydantic, or equivalents)
• Experience building web services (FastAPI, Flask, Django, or similar)
• Comfort working with containers and orchestration tools like Docker and Kubernetes
• Experience working with large-scale datasets and data-intensive systems

Nice to Have

• Ability to read and make small changes in C++ code
• Experience building ML-adjacent metrics or evaluation infrastructure
• Familiarity with Parquet and object storage layout/partitioning strategies
• Experience with Kafka or task queues
• Exposure to basic observability practices (logging, metrics, tracing)

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Engineering Manager, Enterprise Security

Fully Remote – USA

$200,000 – $250,000

The Opportunity

My client is expanding their Enterprise Security product line and are looking for a technical leader to build and scale the engineering team behind it. This group develops the security capabilities that enterprise IT leaders rely on to approve, deploy, and trust our platform.

You’ll lead the development of high-impact features such as data loss prevention, audit logging, SIEM integrations, encryption controls, and data governance capabilities. These products are directly tied to large enterprise deals and long-term revenue growth.

This role combines hands-on technical leadership with team building and product ownership. You’ll shape the roadmap, define success metrics, and ensure we deliver enterprise-grade security features that meet the highest standards of reliability and compliance.

What You’ll Own

Technical Direction & Delivery

• Drive architecture and technical strategy for enterprise security products.
• Contribute meaningfully to the codebase while guiding engineering standards and quality.
• Deliver key roadmap milestones, including advanced DLP capabilities and real-time SIEM integrations.
• Ensure security services meet strict uptime, compliance, and audit requirements.

Team Leadership & Growth

• Build and develop a high-performing engineering team focused on enterprise security.
• Establish clear ownership, execution standards, and performance expectations.
• Create clarity in ambiguous spaces and guide the team toward measurable outcomes.

Product & Business Impact

• Partner closely with Product to define and prioritize initiatives based on enterprise customer needs.
• Align engineering efforts with adoption, deal velocity, and revenue impact.
• Help shape Enterprise Security as a distinct and strategic product area within the broader platform.

What You Bring

• Proven experience building enterprise security products for IT administrators and security leaders (e.g., DLP, SIEM integrations, audit systems, access controls, encryption, compliance tooling).
• Strong understanding of enterprise buyers, compliance requirements, and the operational expectations of security products.
• 5+ years of hands-on software engineering experience, ideally in modern web stacks (Node.js/TypeScript, React, or similar).
• 2+ years of experience managing and mentoring engineers, with a history of delivering complex, high-impact systems.
• Comfort operating in high-visibility environments where reliability and trust are non-negotiable.
• Experience leveraging AI tools to accelerate development workflows or a strong interest in adopting them.
• Excellent remote collaboration skills, with experience leading distributed teams through clear documentation and async communication.

Nice to Have

• Experience working with enterprise compliance frameworks such as SOC 2, FedRAMP, or GDPR.
• Familiarity with integrations across enterprise security ecosystems (e.g., SIEM platforms and monitoring tools).
• Background in companies evolving from SMB-focused offerings to enterprise-scale solutions.

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Machine Learning Engineer – GenAI (Remote)

Location: Remote (U.S.)
Compensation: Up to $250K

The Role

We’re looking for a product-minded Machine Learning Engineer to help take GenAI ideas from zero to one. This role is for someone who enjoys ambiguity, thinks in terms of user impact, and knows how to turn early concepts into real, shipped AI products.

You’ll sit at the intersection of ML engineering, product strategy, and execution, owning problems end-to-end – from defining what to build to deploying it in production.

What You’ll Do

• Build, fine-tune, and deploy GenAI, LLM, and RAG-powered features used by real customers.

• Own 0→1 product development, translating fuzzy ideas into shipped ML systems.

• Partner closely with product, design, and engineering to define requirements, success metrics, and tradeoffs.

• Prototype quickly, run experiments, and iterate based on real user feedback.

• Take models from notebook to production, owning pipelines, deployment, and monitoring.

• Help shape product direction by connecting ML capabilities to business and user outcomes.

What You’ll Bring

• 4+ years of experience building and deploying machine learning systems.

• Hands-on experience with GenAI / LLMs (RAG, embeddings, prompt design, fine-tuning).

• Strong product intuition – experience working closely with PMs or owning product decisions yourself.

• Proven experience delivering early-stage or 0→1 products.

• Strong Python skills and experience with modern ML frameworks.

• Excellent communication skills and comfort explaining technical tradeoffs to non-technical partners.

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