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Senior Full stack Engineer

£80,000 – £100,000

Hybrid – London (3x days per week)

This is a high-impact engineering role within a small, specialist team responsible for accelerating product development across a growing data organisation. You will work at the cutting edge of AI-enabled engineering, building prototypes, tools, and platform components that turn complex data into usable products at speed. If you enjoy autonomy, rapid delivery, and solving ambiguous problems, this role offers immediate visibility and meaningful technical ownership.

The Company

They are a data focused organisation bringing together multiple specialist businesses, each with its own technology stack and domain expertise. Their central technical team is responsible for unifying systems, modernising legacy platforms, and building AI-enabled capabilities that can be leveraged across the group. The environment is highly collaborative, delivery-focused, and driven by experimentation and measurable outcomes.

The Role

You will sit within a small, high-performing technical core, working closely with senior engineering leadership to deliver rapid, tangible results.

• Build internal AI agents and tools that improve productivity and unlock value from group data
• Develop prototypes that validate ideas quickly and can be demonstrated on a weekly basis
• Modernise legacy systems using AI-assisted analysis and development approaches
• Wrap existing systems with clean, scalable APIs to enable wider consumption
• Generate documentation, tests, and migration tooling to support platform evolution
• Contribute to shared data and entity platform development across the organisation
• Continuously improve code quality, leaving systems clearer and more maintainable

Your Skills and Experience

• Strong commercial experience delivering software in fast-paced environments
• Hands-on development capability across Python, TypeScript, and SQL
• Comfortable working with modern AI tooling and agent-based development workflows
• Experience working with data systems, including schema design, data quality, or lineage
• Ability to understand and work across unfamiliar codebases effectively
• Clear communication skills, including writing high-quality pull requests and presenting work
• A proactive, self-directed approach with a focus on delivering outcomes quickly

What They Offer

• Competitive base salary
• Flexible working options across London and remote environments
• High levels of autonomy and ownership from day one
• Exposure to complex data systems and AI-driven engineering challenges
• Opportunity to work in a small, high-impact team with visible output
• Clear progression as the team and platform scale

How to Apply

Apply with your CV to find out more about this AI-Native Software Engineer opportunity. Please note we cannot offer sponsorship for this position

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Staff Engineer

Up to £170,000

Hybrid – London (3x days per week)

This is a rare opportunity to shape the technical backbone of a multi-entity data group undergoing significant transformation. You will operate at the intersection of engineering and strategy, building a unified AI-native data layer while working closely with executive leadership. The role offers high autonomy, direct influence on architectural direction, and the chance to hire and lead a small, high-impact team.

The Company

They are a data-focused organisation with several specialist businesses, each operating its own technology stack and culture. The strategic goal is to unify these into a single, scalable data and AI platform. Backed by investment and growth through acquisition, they are building a modern data intelligence layer that enables better product delivery and commercial performance. The environment is pragmatic, delivery-focused, and driven by technical excellence.

The Role

You will take ownership of building the group’s shared data platform and AI-native architecture. You will contribute both strategically and hands-on, with a strong focus on delivery and impact.

• Design and build a unified data layer, including entity graph, provenance, quality, and APIs
• Deliver production-ready systems and modern APIs that connect data across multiple business units
• Lead the technical integration of acquisitions, including data, access, and observability
• Hire and grow a small team of AI-native engineers, driving a high-performance delivery culture
• Define and document architectural standards and AI engineering practices
• Work closely with senior leadership, contributing to technical strategy and decision-making
• Produce clear documentation and run regular demonstrations of progress

Your Skills and Experience

• Strong commercial experience building data platforms, APIs, or data-led products at scale
• Comfortable writing production code and working across Python, TypeScript, and SQL
• Experience using modern AI tooling or agent-based development approaches
• Ability to quickly understand and assess unfamiliar codebases and systems
• Experience designing scalable architectures across multiple services or business units
• Strong communication skills with the ability to explain technical concepts clearly
• Commercial awareness, including understanding of product value, margins, and customers
• A pragmatic mindset with a focus on delivery, quality, and continuous improvement

What They Offer

• Competitive base salary
• High-impact role with direct visibility to senior leadership
• Opportunity to shape a group-wide data and AI strategy
• Autonomy to build and lead a team from an early stage
• Exposure to acquisition integration and complex data environments
• Collaborative and delivery-focused engineering culture

How to Apply

Apply with your CV to discuss this opportunity in more detail.

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This is an opportunity to shape how a global digital platform understands and optimises its onsite customer journey. You will play a new role in building a mature product analytics capability, driving actionable insight across end to end user experiences and ensuring data informs every product decision.

The Company
They are a globally recognised organisation operating at the intersection of technology, data, and sustainability. Their platform is used by tens of thousands of businesses to improve operational and social outcomes. With a strong focus on innovation, they are investing heavily in product analytics to better understand customer behaviour and optimise onsite journeys. The culture is collaborative, inclusive, and driven by continuous improvement.

The Role
You will lead onsite customer journey analysis across a complex digital platform, ensuring teams can measure, understand, and improve user interactions.

• Analyse onsite user journeys to identify friction points, drop offs, and opportunities for optimisation
• Define and track key product and customer journey KPIs across acquisition, engagement, and retention
• Implement and manage tracking frameworks using tools such as GA4 and Google Tag Manager
• Partner with Product, Design, and Engineering teams to embed analytics into the product lifecycle
• Deliver A B testing and experimentation to improve onsite conversion and engagement
• Build dashboards and reports to translate customer journey insights into clear business actions
• Support the development of a scalable analytics ecosystem across cloud data platforms
• Mentor and support junior analysts, driving best practices in product analytics

Your Skills and Experience

• Commercial experience in onsite customer journey analysis or product analytics
• Expertise in digital analytics tools such as GA4, Hotjar, or similar platforms
• Hands on experience implementing tracking via Google Tag Manager and data layers
• Experience analysing user behaviour across web platforms and translating insights into action
• Stakeholder management skills with the ability to influence product decisions
• Experience with experimentation, A B testing, and conversion optimisation
• Ability to work in agile environments and solve complex analytical problems

What They Offer

• Hybrid working model based in London
• Opportunity to lead and shape onsite analytics strategy
• Clear progression within a growing data and analytics function
• Comprehensive benefits package

How to Apply
If you are passionate about onsite customer journey analysis, apply now to learn more.

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This is an opportunity to join an analytics team within a leading data-led marketing environment. The role offers strong exposure to digital performance, customer insight, and end-to-end campaign measurement, with clear impact on client strategy and business outcomes.

The Company
They are a global consultancy-style organisation operating at the intersection of data, technology and marketing. Their work focuses on delivering measurable impact through customer-centric insights and advanced analytics. With a strong agency and consulting heritage, they partner with major brands to transform marketing effectiveness and customer experience. They foster an inclusive and collaborative culture, with a strong emphasis on continuous learning and development.

The Role
You will play a role in delivering data-driven insights across digital campaigns and customer journeys.

Responsibilities will include:

• Leading post campaign analysis to evaluate performance and identify optimisation opportunities
• Delivering customer journey reporting across multiple digital touchpoints
• Building and maintaining dashboards using tools such as Power BI or Tableau
• Working with large datasets using SQL and Python to generate insights
• Collaborating with stakeholders to translate business questions into analytical solutions
• Supporting test and learn methodologies, including A/B testing and campaign optimisation
• Mentoring junior analysts and contributing to best practice within the team

Your Skills and Experience

• Commercial experience in marketing analytics within an agency or consultancy environment
• Experience in digital analytics, including web and social performance measurement – GTM, Google Analytics
• Proven ability to deliver post campaign analysis and customer journey insights
• Experience with SQL and Python for data manipulation and analysis
• Experience with data visualisation tools such as Power BI or Tableau
• Understanding of tagging, attribution and digital measurement frameworks
• Stakeholder management skills with the ability to present insights clearly

What They Offert

• Structured learning and development programmes
• Clear progression pathways within a growing analytics function
• Comprehensive benefits package focused on wellbeing and work-life balance

How to Apply
If you are interested in applying your digital analytics expertise in a client-facing, insight-driven environment, please submit your CV to learn more.

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Senior Analyst (Marketing Analytics)

South London (Hybrid) – 3 days aweek

From £60-75k

The Opportunity

We’re working with a leading global marketing and customer experience agency looking for a Senior Analyst to join their analytics team.

This role combines hands-on data analysis with client-facing insight delivery-helping businesses make smarter decisions through data and driving measurable marketing performance.

Key Responsibilities

• Deliver end-to-end analytics projects, from data exploration to insight delivery
• Analyse customer, web, and campaign data to improve performance
• Build dashboards and visualisations for self-service reporting
• Work with tools such as SQL, Python, and data visualisation platforms
• Support measurement frameworks and test-and-learn strategies
• Present insights and recommendations to clients and senior stakeholders
• Collaborate with cross-functional teams across data, tech, and marketing
• Mentor and support junior analysts

What We’re Looking For

• 3-5 years’ experience in marketing analytics or data analytics roles
• Strong skills in SQL, Python, and Excel
• Experience with visualisation tools (Power BI, Tableau, Looker)
• Knowledge of web and social analytics tools (GA, Adobe, Brandwatch, etc.)
• Strong understanding of performance measurement and customer journeys
• Experience working in agency or consulting environments (preferred)
• Strong communication and stakeholder management skills
• Curious, proactive mindset with strong problem-solving abilities

Ways of Working

• Flexible hybrid working model
• Collaborative, cross-functional team environment
• Exposure to global brands and varied client challenges
• Strong focus on learning, development, and innovation

Benefits

• Competitive salary + bonus potential
• Flexible working and strong work-life balance culture
• Ongoing learning and development programmes
• Mental health support, coaching, and wellbeing initiatives
• Additional personal and volunteer leave days
• Inclusive, diverse, and supportive working culture
• Private healthcare and wellbeing support

How to Apply

If you’re a data-driven analyst looking to work on high-impact marketing challenges and deliver meaningful insights, we’d love to hear from you.

Apply with your CV or get in touch with me!

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Platform Systems Architect

Dallas, TX (Onsite, 5 days per week)
Base Salary: $200,000 – 225,000

Overview

A technology manufacturer is expanding its infrastructure footprint significantly, investing largely into domestic capacity and digital platform growth. This role is central to building and evolving the internal enterprise platform that supports that expansion.

This position focuses on developing an internal, cloud platform that enables application and engineering teams to build, deploy, and run services across a hybrid environment that spans on premises data centers and public cloud.

The Role

Seeking a senior Platform Systems Architect to define and design the foundational infrastructure platform that internal teams depend on. This is a senior individual contributor role responsible for end to end platform architecture across compute, storage, networking, and core platform services.

You will work across both on premises and public cloud environments to deliver a unified, scalable, and reliable platform. This is a hands-on architecture role, suited for someone who has designed and built large distributed systems, not just documented or managed them.

What You Will Do

• Design end to end platform architectures across compute, storage, networking, and platform services
• Define and maintain enterprise standards, reference architectures, and design patterns
• Architect hybrid environments spanning data centers and public cloud platforms
• Design and support Kubernetes based platforms (OpenShift, Rancher, or similar)
• Drive Infrastructure as Code using Terraform and/or Ansible
• Establish CI/CD, automation, and DevOps platform standards
• Design observability and reliability solutions using tools like Grafana, Prometheus, and ELK
• Partner with engineering teams to modernize legacy systems into distributed architectures
• Provide technical leadership as a senior individual contributor

Required Qualifications

• 7+ years in systems architecture, platform engineering, or infrastructure engineering
• Experience designing and operating large scale distributed systems
• Strong expertise across compute, storage, and networking
• Hands-on Kubernetes experience (OpenShift, Rancher, or equivalent)
• Experience with Terraform and/or Ansible
• Proven hybrid cloud experience (on prem + public cloud)
• Familiarity with CI/CD and DevOps practices
• Experience with observability tools (Grafana, Prometheus, ELK stack)
• Working knowledge of Python or Go

Preferred Qualifications

• Experience building a private cloud or internal platform from the ground up
• Advanced networking experience (EVPN, VXLAN, SDN)
• Experience with data or streaming platforms (Kafka, Spark)
• Knowledge of API gateways, IAM, and platform integration patterns
• Exposure to GPU, AI, or high performance computing workloads
• Hands-on experience with major public cloud platforms

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Senior Account Director (CRM & Client Leadership)

UK (Hybrid/Remote – Bristol area)

Up to £65-70k

The Opportunity

We’re working with a growing customer engagement agency looking for a Senior Account Director to lead key client relationships and drive account growth.

This is a senior leadership role where you’ll combine strategic thinking, commercial ownership, and team leadership to deliver impactful CRM and marketing solutions while ensuring client satisfaction and profitability.

Key Responsibilities

• Lead and grow key client accounts, ensuring strong relationships and commercial success
• Own delivery of projects, ensuring work is on time, on budget, and high quality
• Drive revenue growth through identifying upsell and development opportunities
• Develop strategic campaign briefs and oversee delivery across CRM channels
• Collaborate with cross-functional teams (strategy, design, data, dev, campaign)
• Manage budgets, forecasting, and financial reporting
• Lead post-campaign reviews to optimise performance and processes
• Mentor and develop account team members

What We’re Looking For

• 3+ years’ experience at Account Director level in an agency environment
• Strong experience managing client relationships and leading teams
• Understanding of CRM channels (email, web, app, push) and loyalty principles
• Commercial mindset with experience managing budgets and revenue growth
• Strong strategic thinking and ability to translate business needs into campaigns
• Excellent stakeholder management and communication skills
• Experience working with data to influence marketing decisions

Ways of Working

• Hybrid working model
• Highly collaborative, agency environment
• Leadership role with both strategic and hands-on responsibilities
• Strong focus on innovation, client impact, and team development

Benefits

• Competitive salary + performance-related incentives
• Opportunity to lead high-profile client accounts
• Career progression and leadership development
• Collaborative and creative working culture
• Exposure to integrated CRM, data, and digital projects
• Flexible working arrangements

How to Apply

If you’re a commercially driven Account Director with a passion for client leadership and CRM strategy, we’d love to hear from you.

Apply with your CV or reach out to me!

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Machine Learning Scientist

Remote (USA only)

About the Role

A frontier AI-driven bio-tech company is hiring a Machine Learning Scientist to help develop next-generation foundation models at the intersection of AI and biology.

This is an individual contributor role for a researcher who enjoys taking ideas from concept to experimentation, working on challenging problems, and collaborating with a highly technical team.

Responsibilities

• Design, train, and evaluate state-of-the-art machine learning and foundation models.
• Rapidly prototype and test new research ideas.
• Develop benchmark tasks and evaluation frameworks.
• Collaborate closely with researchers, scientists, and engineers.
• Contribute to publications and technical presentations.

Ideal Background

• PhD in Computer Science, Machine Learning, AI, Physics, Mathematics, Computational Neuroscience, or a related quantitative field.
• Strong publication record at leading conferences such as NeurIPS, ICML, ICLR, CVPR, or equivalent venues.
• Experience building models in PyTorch and conducting original machine learning research.
• Background in foundation models, LLMs, computer vision, multimodal learning, generative AI, robotics, or scientific machine learning.

Biology experience is a plus but not required. Exceptional researchers from computer vision, language modeling, robotics, autonomous driving, and other highly quantitative fields are encouraged to apply.

Why Join?

• Work on cutting-edge machine learning research with real-world impact.
• Collaborate with world-class researchers and scientists.
• Help shape the future of AI-driven scientific discovery.

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PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.

THE COMPANY

A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.

THE ROLE

Hands-on engineering and AI work across the platform:

• Build agentic GenAI workflows using internal datasets
• Develop marketing and growth systems: email delivery, personalization, engagement tracking
• Create commercial AI models to understand user behavior and engagement
• Collaborate across product and engineering teams
• End-to-end coding, system design, and customer validation

YOUR SKILLS & EXPERIENCE

• Backend: Python, Django or Flask or FastAPI
• Frontend: React
• Cloud/Infrastructure: AWS
• Databases: PostgreSQL
• AI/ML: OpenAI; knowledge of agent systems helpful
• Experience with large-scale data and knowledge systems is a plus
• Comfortable working in a lean, high-ownership environment

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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Forward Deployed Engineer

San Francisco, CA (Hybrid)

A high-growth AI company is hiring Forward Deployed Engineers to work directly with enterprise customers on rapidly building and deploying AI-driven solutions.

This is a highly product-oriented engineering role focused on solving real customer problems quickly. The team is looking for engineers who thrive in fast-paced environments, enjoy working closely with customers, and can rapidly prototype and ship solutions using modern AI tooling.

What You’ll Be Doing

• Partner with customers to understand workflows and business challenges.
• Rapidly build MVPs and proof-of-concepts.
• Work cross-functionally with engineering and product teams.
• Help shape and productionize successful customer solutions.

What They’re Looking For

• Strong product sense and customer empathy.
• Ability to operate independently and move quickly.
• Engineers who are resourceful, curious, and highly execution-oriented.
• Experience in startup or high-growth environments.

To Apply for this Job Click Here

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Vice President, AI / Machine Learning Engineering

We’re partnering with a highly regarded AI team building products used by hundreds of thousands of users every day.

This is not a research role. They’re looking for engineers who can take an idea on Thursday and have a production-ready solution in users’ hands by Monday.

The team is building AI-powered products across:

• Enterprise chatbots and conversational AI
• Agent frameworks and workflow automation
• Text-to-code applications
• Natural language interfaces for databases
• Internal AI productivity tools at massive scale

They’re looking for engineers with:

• Strong AI/ML engineering experience
• Deep understanding of LLMs and foundation models
• Experience building applications with LLM APIs
• AWS, Kubernetes and distributed systems experience
• Strong software engineering and system design fundamentals
• The ability to operate autonomously and deliver end-to-end solutions

Ideal candidates are full-stack ML engineers who can prototype, build, deploy and scale products independently. A background in NLP, Computer Vision or advanced AI research is highly valued, but the ability to ship production systems is what matters most.

Why Join?

• Build AI products used by hundreds of thousands of users globally
• Work on some of the most visible AI initiatives within the organization
• Operate with significant autonomy and ownership
• Partner directly with senior leadership on high-priority initiatives
• See your work deployed at scale and delivering measurable impact from day one
• Join a team of exceptional engineers focused on turning cutting-edge AI into production-ready products

To Apply for this Job Click Here

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Senior Machine Learning Engineer (Applied ML)

About the Company

Our client is a high-scale consumer technology company leveraging machine learning, advanced analytics, and large-scale data systems to optimize user experiences and drive meaningful business impact. Their products reach millions of users globally, providing an opportunity to work on ML systems at significant scale.

The Role

They are hiring a Senior Machine Learning Engineer to own and improve production machine learning models that directly impact key business metrics. This is a highly applied ML role focused on model performance, experimentation, feature engineering, and continuous optimization-not ML infrastructure.

You’ll work with large-scale datasets to improve prediction, ranking, recommendation, and optimization systems, partnering closely with Product, Data, and Engineering teams to deliver measurable outcomes.

What They’re Looking For

• 5+ years of experience in Machine Learning Engineering, Applied ML, or Data Science
• Strong hands-on Python and SQL skills
• Experience building, deploying, and improving production ML models
• Experience working with large-scale datasets
• Strong understanding of feature engineering, model optimization, and experimentation
• Experience with recommendation systems, ranking, personalization, Ad Tech, search, marketplace optimization, or similar large-scale ML problems
• Ability to operate independently, take ownership, and drive technical decisions

Why Join?

• Work on high-impact ML systems serving millions of users
• Own and improve models that directly influence product performance and revenue
• Join a mature engineering environment with strong data infrastructure already in place
• Operate as a senior individual contributor with significant ownership and impact

Location

Remote within the following states: California, Washington, Texas, Arizona, Utah, Nevada, New Jersey, New York, and Oklahoma.

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