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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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Our client is seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions. You have deep experience with statistical modeling, machine learning, and experimentation. You’re collaborative, business-savvy, and known for delivering results that move the needle. Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers.

What You’ll Do

Modeling & Advanced Analytics: Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges. Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.

Data Exploration: Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.

Qualifications & Experience

-7+ years of professional experience in data science, statistics, and applied machine learning.

-Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies.

-Building and deploying Data Mesh architectures.

-Strong experience in AWS tools and infrastructure and cloud

-AI and data tools essential.

-Experience in working in other cloud environments (GCP, or Azure) would be an advantage.

-Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks.

-Proven track record in statistical modeling, time series forecasting, NLP, or optimization.

-Experience designing and analyzing controlled experiments (A/B testing, uplift modeling).

-Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering.

-Experience with tools such as Databricks, SageMaker, and Snowflake is essential. Experience of Palantir would be an advantage.

-AWS cloud certifications or ML specialization credentials are an advantage.

Core Competencies

-Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically.

-Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy.

-Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy.

-Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes.

–Communication – Explains technical results clearly and persuasively to diverse audiences.

Tech stack

AWS, Python, TensorFow/PyTorch, Data Mesh, Databricks, SageMaker, Snowflake

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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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BI Architect

8 month fixed term contract

£95,000 – prorated for the duration of the contract

Fully remote

This is an opportunity to join a fast growing, global technology business at a pivotal stage of its data journey. You will play a key role in rebuilding and modernising reporting capability, working closely with stakeholders across the organisation to shape how data is used to drive decisions.

The Company

They are a global research technology platform operating at significant scale, supporting data driven decision making across multiple markets. With a strong international footprint and a growing analytics function, the business is investing heavily in modern data tooling and best practice. Their culture is collaborative, product focused and impact driven.

The Role

• Lead the migration and rebuild of datasets and reports across the business.
• Partner with users to run interviews and workshops to understand reporting and analytics requirements.
• Design and deliver clear, scalable dashboards using modern BI tools.
• Work closely with backend and analytics teams to ensure data models meet business needs.
• Influence best practice in reporting, documentation and stakeholder engagement.

Your Skills and Experience

• Strong SQL capability in a commercial analytics environment.
• Hands on experience with Power BI, Looker, Omni or similar modern BI tools.
• Proven ability to gather requirements directly from non technical stakeholders.
• Experience working with evolving data models and reporting migrations.
• Exposure to dbt or semantic layers is beneficial but not essential.
• Able to start at short notice.

What They Offer

• Competitive salary and benefits package.
• High impact role with ownership over critical reporting rebuilds.
• Exposure to modern data tooling and large scale datasets.
• Clear progression within a growing data and analytics function.

Please note we cannot offer sponsorship for this position.

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