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Data Architect (AI & Advanced Analytics)

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

About the Role

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

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

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

What You’ll Do

Data Architecture & Platform Design

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

Advanced Analytics Enablement

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

Insights & Business Partnership

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

Leadership & Best Practices

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

What We’re Looking For

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

Preferred Qualifications

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

Why Join?

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

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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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The Role

We are looking for a Technical Architect to take joint ownership of two critical dimensions: shaping the architecture of our platform and providing hands-on technical leadership to our engineering team. You will be a key decision-maker in how we build, scale, and evolve our systems – balancing technical excellence with practical delivery.
You will work closely with engineering, AI/ML, and product teams, and you will have a direct impact on the technology roadmap of a fast-growing startup in a highly regulated and meaningful space.

Responsibilities

Systems Architecture

• Design and evolve the overall platform architecture – backend services, ML inference pipelines, and clinical integrations – ensuring scalability, security, and performance.
• Define and enforce architectural patterns, coding standards, and technology decisions with a long-term perspective.
• Evaluate and select technologies, frameworks, and tools, clearly articulating trade-offs to both technical and non-technical stakeholders.
• Ensure architecture decisions account for the regulatory requirements of the medical device space (MDR, FDA SaMD).
• Lead the technical design of integrations with hospital systems (PACS, HIS) using standards such as DICOM and HL7/FHIR.
• Own non-functional requirements: reliability, latency, data privacy (GDPR, HIPAA-aligned), and disaster recovery.

Technical Leadership

• Be the technical reference for the engineering team: code reviews, mentoring, and establishing engineering best practices.
• Collaborate with the AI/ML team on the productionisation of inference models and the optimization of the end-to-end ML pipeline.
• Contribute to sprint planning and technical estimation, helping the team break down complexity into deliverable increments.
• Proactively identify and mitigate technical risks, communicating them clearly before they become blockers.
• Foster an engineering culture centred on quality, automation, observability, and continuous improvement.

Requirements

Must-haves

• 5-8 years of software engineering experience, with at least 2-3 years in architecture or senior technical leadership roles.
• Proven experience designing and operating cloud-native systems on AWS (compute, storage, networking, managed services, IAM).
• Strong background in Python for production environments – APIs, data processing pipelines, and ML model integration.
• Solid understanding of containerisation (Docker) and orchestration in production environments.
• Deep knowledge of distributed systems design principles: microservices, event-driven architecture, API design, and data consistency patterns.
• Experience building CI/CD pipelines and driving DevOps practices across an engineering team.
• Ability to document and communicate architecture decisions clearly, both in writing and in technical discussions.
• Comfortable operating in a startup environment: autonomous, pragmatic, and able to balance ideal solutions with real constraints.

Nice-to-haves

• Experience deploying and optimising ML models in production – including ONNX Runtime or similar inference frameworks.
• Familiarity with medical imaging standards: DICOM, HL7, FHIR.
• Background in regulated environments (MDR, FDA 21 CFR Part 11, ISO 13485, or similar).
• Experience with MLOps practices: model versioning, drift monitoring, and retraining pipelines.
• Knowledge of PHP/Laravel or experience working with and evolving an existing codebase built on it.
• Prior experience in healthtech, medtech, or other highly regulated industries.

What We Offer

• Competitive salary aligned with your experience and the market.
• Hybrid model with real flexibility – we care about outcomes, not hours.
• Direct, visible impact: your work shapes tools that help clinicians make better diagnoses.
• Small, highly skilled team with strong technical autonomy.
• Annual budget for training, conferences, and certifications.
• Freedom to challenge the status quo and propose improvements to how we build things.
• A collaborative, mission-driven environment where engineering is taken seriously.

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Director of Data Center Site Operations (Campus Lead)

Location: Dallas, TX – Remote
Full-Time | Onsite

Salary: up to $275,000 + equity + bonus

Overview

We are seeking a Director of Data Center Site Operations (Campus Lead) to oversee all aspects of operations for a large-scale data center campus. This senior leadership role will be responsible for site-wide performance, uptime, and operational strategy, while leading multiple teams across engineering, facilities, and operations.

Responsibilities

• Lead end-to-end operations for a multi-building data center campus
• Ensure 99.999% uptime and world-class reliability performance
• Oversee site leadership team (managers across operations, critical facilities, and engineering)
• Drive incident management, root cause analysis (RCA), and continuous improvement programs
• Own site-level operating metrics, SLAs, and reporting
• Manage relationships with key vendors, utility providers, and partner organizations
• Partner with global operations, construction, and engineering teams on capacity expansion and upgrades
• Establish and enforce operational standards, safety protocols, and compliance frameworks
• Lead workforce planning, hiring, and leadership development initiatives

Required Skills

• 10-15+ years in data center, critical facilities, or mission-critical operations
• Proven experience leading large-scale sites or multi-site environments
• Deep expertise in electrical and mechanical infrastructure (UPS, generators, switchgear, HVAC/chilled water systems)
• Strong track record of operational excellence, uptime management, and SLA ownership
• Experience managing layered leadership teams (managers + individual contributors)
• Familiarity with capacity planning, infrastructure lifecycle management, and expansion projects
• Strong understanding of regulatory, safety, and compliance standards (OSHA, NFPA, NEC)
• Executive-level communication and stakeholder management skills

Preferred Qualifications

• Experience in hyperscale, cloud, or large colocation environments
• Background in Lean, Six Sigma, or operational excellence methodologies
• Bachelor’s degree in Engineering, Facilities Management, or related field (or equivalent experience)

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

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Director, Data Center Operations (Hyperscale)

Location: Remote within the US
Full-Time | Salary: Up to $300,000

Overview

We are seeking a Director of Data Center Operations to lead multi-site operations across a growing hyperscale footprint. This role will drive uptime, operational excellence, and team leadership across critical environments.

Responsibilities

• Lead end-to-end operations across multiple data center campuses
• Ensure 99.999% uptime and SLA adherence
• Build and lead high-performing teams (managers + engineers)
• Oversee incident management, RCA, and continuous improvement
• Manage vendors and third-party service providers
• Partner with engineering, construction, and capacity planning teams

Required Skills

• 10+ years in data center or critical facilities operations
• Strong expertise in electrical/mechanical infrastructure (UPS, generators, chillers)
• Experience with Tier III/IV environments
• Proven leadership across multi-site operations
• Deep knowledge of SLA management and reliability metrics

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

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DATA ARCHITECT
up to £65,000 + BENEFITS
London (Hybrid)
This is a great opportunity to join a purpose‑driven organisation where you can take ownership of enterprise data architecture and shape how data is structured, governed and leveraged across the business.

THE COMPANY:

This a UK regulator in the health sector and is investing heavily in its digital and data capabilities, particularly across Microsoft D365 and modern data platforms. This is a chance to play a key role in a growing architecture function with real organisational impact.

THE ROLE:

You will take ownership of enterprise and project-level data architecture, driving best practice and governance across the organisation. Key responsibilities include:

• Driving enterprise data modelling and governance through the Data Architecture Framework (DAF)
• Developing conceptual and logical models (UML), taxonomies, ontologies and data glossaries
• Mapping data flows and establishing lineage across the enterprise ecosystem
• Supporting and evolving the Microsoft D365 and downstream medallion data architecture
• Administering and maintaining the model repository with strong version control and quality standards
• Working closely with engineering, governance and business teams to deliver scalable data solutions
• Acting as a champion for data architecture best practice across the organisation

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data architecture experience, or a strong data engineering background with architectural aspirations
• Advanced data modelling (conceptual, logical and physical)
• Experience with modelling tools such as Sparx Enterprise Architect
• Strong understanding of data methodologies (Kimball, transactional, OBT) and when to apply them
• Knowledge of DAMA DMBoK principles and enterprise data governance
• Experience working within a Microsoft stack (Azure, Fabric, D365)

THE BENEFITS:

You will receive a salary of up to £65,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Title: Data Architect
Location: US Remote
Pay: $200k – $230k Base (No Bonus)

Overview:
An innovative, high-growth organisation is seeking a Data Architect to drive advanced analytics and machine learning initiatives across multiple business domains. This role focuses on building scalable data solutions, deploying predictive models, and enabling data-driven decision-making in a collaborative, cloud-first environment.

Responsibilities:

• Design, develop, and deploy predictive and prescriptive models across domains such as customer behaviour, operations, and personalisation
• Apply machine learning, deep learning, and statistical methods to solve complex business challenges
• Lead experimentation initiatives including A/B and multivariate testing, as well as causal inference analysis
• Analyse large, complex datasets to generate insights and inform strategic recommendations
• Communicate technical findings clearly to both technical and non-technical stakeholders
• Collaborate with product managers and cross-functional teams to define data science initiatives
• Partner with engineering teams to build scalable, data-driven applications
• Mentor junior team members and contribute to best practices, tools, and reusable frameworks

Must Have Qualifications:

• 7-10+ years of experience in data science, applied machine learning, or statistics
• Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch
• Hands-on expertise with AWS and cloud-based AI/data platforms
• Experience building and deploying Data Mesh architectures
• Proven ability to productionise models using APIs, pipelines, or ML frameworks
• Experience with tools such as Databricks, SageMaker, and Snowflake

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