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Platform Engineer - Data & AI Infrastructure

Location: Remote / UK-based
Type: Full-time

You must have strong Databricks and Unity Catalog experience

Skills / Approaches:

• Proven experience with Terraform for Azure infrastructure as code.

• Strong knowledge of GitHub Actions and general CI/CD principles.

• Hands-on experience with Azure Private Link and Private Link Service.

• Expertise in Databricks and Unity Catalog for data governance.

• Solid understanding of Azure Policy and compliance enforcement.

• Strong background in identity and access management, including OAuth and federated credentials.

• Deep understanding of Azure security best practices, including Defense in Depth, BCDR, and high availability.

If you meet these requirments please send me a copy of your CV to a.otoole@tenthrevolution.com

Job Title:

SIAM Service Manager

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Role Purpose:

Design and implement a robust service architecture across a multi-supplier , ensuring seamless integration of ITIL processes, ticket flows, and end-to-end SLAs. This role drives governance, service transition, and continual improvement while maintaining operational excellence.

The support scope will cover L3 and L4 resolver groups. L1 and L2 are out of scope.

• This role will develop architecture for L3 and L4 and define alignment with L1 and L2 managed by MoD.
• ITSM tool configuration is out of scope for the client
• SIAM will be owned by the client, and this role will operate within that framework.

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Key Responsibilities:

1. Service Architecture & Design

• Define and implement service architecture for integrated services.
• Establish ITIL-aligned processes (Incident, Problem, Change, Release, Configuration, Request Fulfilment) using IBM standard ITIL documentation adapted for Deeams requirements.
• Design ticket flows across suppliers and ensure integration with ITSM tools (e.g., ServiceNow).
• Set up end-to-end SLAs and OLAs, including reporting dashboards for performance tracking.

2. Service Transition

• Lead onboarding of new environments into support, including operational readiness checks, runbook creation, and supplier alignment workshops.
• Coordinate testing and acceptance for new or changed services.

3. Governance & Reporting

• Operate SIAM governance framework:
  • Monthly service reviews with suppliers.
  • SLA/KPI reporting and trend analysis.
  • Risk and compliance audits.
• Maintain escalation paths and RACI matrices.

4. Continual Service Improvement (CSIP)

• Develop CSIP plans to optimise processes, improve SLA adherence, and enhance customer experience.
• Drive automation and efficiency improvements across ITSM workflows.

5. Stakeholder & Supplier Management

• Act as the central point of contact for service integration issues.
• Facilitate collaboration between Nordcloud, SixWorks, Cohesive, IBM, and internal teams.
• Provide clear reporting to senior leadership on service health and improvement initiatives.

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Required Skills:

• Strong experience in SIAM and multi-supplier environments.
• Expertise in ITIL v4 and ITSM platforms (ServiceNow preferred).
• Proven ability to design service architecture, ticket flows, and SLA frameworks.
• Excellent governance, reporting, and stakeholder management skills.

Desirable:

• Cloud infrastructure knowledge (AWS, OpenShift).
• Familiarity with secure/government environments.
• Experience in contract and commercial management

Please send me your CV if you're interested

Job Title:



SIAM Service Manager


Role Purpose:



Design and implement a robust service architecture across a multi-supplier , ensuring seamless integration of ITIL processes, ticket flows, and end-to-end SLAs. This role drives governance, service transition, and continual improvement while maintaining operational excellence.

The support scope will cover L3 and L4 resolver groups. L1 and L2 are out of scope.

• This role will develop architecture for L3 and L4 and define alignment with L1 and L2 managed by MoD.
• ITSM tool configuration is out of scope for the client
• SIAM will be owned by the client, and this role will operate within that framework.

Key Responsibilities:



1. Service Architecture & Design

• Define and implement service architecture for integrated services.
• Establish ITIL-aligned processes (Incident, Problem, Change, Release, Configuration, Request Fulfilment) using IBM standard ITIL documentation adapted for Deeams requirements.
• Design ticket flows across suppliers and ensure integration with ITSM tools (e.g., ServiceNow).
• Set up end-to-end SLAs and OLAs, including reporting dashboards for performance tracking.

2. Service Transition

• Lead onboarding of new environments into support, including operational readiness checks, runbook creation, and supplier alignment workshops.
• Coordinate testing and acceptance for new or changed services.

3. Governance & Reporting

• Operate SIAM governance framework:
  • Monthly service reviews with suppliers.
  • SLA/KPI reporting and trend analysis.
  • Risk and compliance audits.
• Maintain escalation paths and RACI matrices.

4. Continual Service Improvement (CSIP)

• Develop CSIP plans to optimise processes, improve SLA adherence, and enhance customer experience.
• Drive automation and efficiency improvements across ITSM workflows.

5. Stakeholder & Supplier Management

• Act as the central point of contact for service integration issues.
• Facilitate collaboration between Nordcloud, SixWorks, Cohesive, IBM, and internal teams.
• Provide clear reporting to senior leadership on service health and improvement initiatives.

Required Skills:

• Strong experience in SIAM and multi-supplier environments.
• Expertise in ITIL v4 and ITSM platforms (ServiceNow preferred).
• Proven ability to design service architecture, ticket flows, and SLA frameworks.
• Excellent governance, reporting, and stakeholder management skills.

Desirable:

• Cloud infrastructure knowledge (AWS, OpenShift).
• Familiarity with secure/government environments.
• Experience in contract and commercial management

Fully Remote

Inside IR35

January/February Start Date

Please send me your CV if you're interested

Role - Senior Data Engineer - Azure - Databricks

Location - Remote (UK Based)

Start Date - 5th of January (interviews next week)

Rate - Market Rates (Outside IR35)

Contract Length - 6 Months initially (Will extended based on good performance)

The role is Outside IR35 & Fully remote (Uk Citizens only)



Description:

We've partnered an award winning SME Data Consulting firm.with a unique opportunity. They have won a large contract, looking for 4-6 Azure Data Engineer, with extensive Azure and Databricks experience.

They only hire the based Data consultants, with a strong consulting background, high level communication skills are paramount!

We are conducting interviews from next week, however the start date isn't until the 5th of January.



Please share your CV if you are interested

Role: SIAM Service Manager

MUST have current SC and BPSS (any that have lapsed will not be considered)

Deep expertise in multi-vendor service architecture is also a MUST HAVE


Role Purpose:



Design and implement a robust service architecture across a multi-supplier , ensuring seamless integration of ITIL processes, ticket flows, and end-to-end SLAs. This role drives governance, service transition, and continual improvement while maintaining operational excellence.

The support scope will cover L3 and L4 resolver groups. L1 and L2 are out of scope.

• This role will develop architecture for L3 and L4 and define alignment with L1 and L2 managed by MoD.
• ITSM tool configuration is out of scope for the client
• SIAM will be owned by the client, and this role will operate within that framework.

Key Responsibilities:



1. Service Architecture & Design

• Define and implement service architecture for integrated services.
• Establish ITIL-aligned processes (Incident, Problem, Change, Release, Configuration, Request Fulfilment) using client standard ITIL documentation adapted for Deeams requirements.
• Design ticket flows across suppliers and ensure integration with ITSM tools (e.g., ServiceNow).
• Set up end-to-end SLAs and OLAs, including reporting dashboards for performance tracking.

2. Service Transition

• Lead onboarding of new environments into support, including operational readiness checks, runbook creation, and supplier alignment workshops.
• Coordinate testing and acceptance for new or changed services.

3. Governance & Reporting

• Operate SIAM governance framework:
  • Monthly service reviews with suppliers.
  • SLA/KPI reporting and trend analysis.
  • Risk and compliance audits.
• Maintain escalation paths and RACI matrices.

4. Continual Service Improvement (CSIP)

• Develop CSIP plans to optimise processes, improve SLA adherence, and enhance customer experience.
• Drive automation and efficiency improvements across ITSM workflows.

5. Stakeholder & Supplier Management

• Act as the central point of contact for service integration issues.
• Provide clear reporting to senior leadership on service health and improvement initiatives.

Required Skills:

• Strong experience in SIAM and multi-supplier environments.
• Expertise in ITIL v4 and ITSM platforms (ServiceNow preferred).
• Proven ability to design service architecture, ticket flows, and SLA frameworks.
• Excellent governance, reporting, and stakeholder management skills.

Desirable:

• Cloud infrastructure knowledge (AWS, OpenShift).
• Familiarity with secure/government environments.
• Experience in contract and commercial management

Fully Remote

Inside IR35

6 months contract

January/February Start Date

Please send me your CV if you're interested

Technical Delivery Lead - GCP
Location: London 3 days a week/ Leeds 2 days a month
Employment Type: Fixed Term Contract OR Umbrella Contract
Business Unit: Banking / Data Management

A global data and AI-driven transformation company is seeking an experienced Technical Delivery Lead to oversee the delivery of a scalable, enterprise-grade data platform on Google Cloud Platform (GCP). This role is ideal for a strategic leader who excels in coordinating cross-functional teams and aligning technology initiatives with business outcomes.

Role Overview
The Technical Delivery Lead will manage the end-to-end delivery life cycle of GCP-based data initiatives. This includes orchestrating teams, managing dependencies, and ensuring alignment with modern data principles and cloud best practices. The role emphasises leadership, stakeholder engagement, and proactive risk management rather than hands-on engineering.

Key Responsibilities

• Lead delivery of GCP-based data platform projects, ensuring strategic alignment and timely execution
• Coordinate cross-functional teams including data engineers, architects, QA, and DevOps
• Manage project phases from design through deployment, maintaining delivery velocity and quality
• Facilitate retrospectives and feedback sessions to drive continuous improvement
• Collaborate with architects to evolve technical roadmaps and ensure platform scalability
• Maintain transparent communication with stakeholders and PMO, identifying risks early
• Champion Agile methodologies and governance frameworks across delivery streams
• Mentor team members and promote a culture of accountability and collaboration

Required Experience

• 10+ years in technology delivery, data engineering, BI, or architecture
• Minimum 3 years as a Delivery Lead or Technical Lead for cloud data projects (GCP preferred)
• Strong understanding of Agile/Scrum, DevOps, CI/CD, and cloud-native delivery models
• Familiarity with GCP services such as BigQuery, Dataflow, Cloud Composer, and Pub/Sub
• Knowledge of modern data architectures including lakehouse, ELT, and schema design
• Awareness of compliance frameworks such as GDPR, HIPAA, and RBAC
• Excellent leadership, communication, and stakeholder management skills
• Bachelor's degree required; Master's preferred

Either £110k or Umbrella at £550/day Inside

Eligibility
Applicants must already be eligible to work in the United Kingdom

If you meet these requirements, please send me a copy of your CV

Contract Opportunity: Azure Security Architect - GenAI Focus

Location: Remote (Sweden)
Type: Freelance / Contract
Start Date: Immediate
Duration: 4 months

We're working with a forward-thinking organisation that's scaling its AI capabilities on Microsoft Azure. As part of a strategic initiative, they're looking for a Security Architect with deep hands-on experience in Azure cloud security and Generative AI (GenAI) deployments.

This is a technical, delivery-focused role for someone who thrives in complex environments and can translate security strategy into actionable architecture and implementation plans.

What You'll Be Doing

• Assess and enhance the security posture of GenAI and AI platforms built on Azure
• Design secure, scalable cloud architectures aligned with business and compliance needs
• Define and implement a road map for security uplift across Azure services
• Collaborate with engineering teams to embed secure-by-design principles into the development life cycle
• Identify and mitigate GenAI-specific risks

What You'll Deliver

• Architecture review and recommendations
• Security uplift strategy and road map
• Implementation plan for security controls
• Secure SDLC guidelines
• GenAI risk assessment and mitigation framework

What We're Looking For

• Proven experience as a Security Architect in Azure environments
• Strong command of Azure-native security tools (e.g., Defender, Sentinel, Key Vault, RBAC)
• Hands-on experience with GenAI platforms (e.g., Azure OpenAI, Azure AI Studio)
• Ability to implement security controls
• Relevant certifications (e.g., AZ-500, SC-100, SC-300)
• Familiarity with compliance frameworks (ISO 27001, NIST, GDPR)

Join a forward-thinking team dedicated to building cutting-edge AI-powered products. As an AI Engineer, you'll play a key role in designing and deploying scalable solutions using modern frameworks and cloud technologies. You'll collaborate with cross-functional teams including product managers, data engineers, software developers, and AI specialists to bring innovative ideas to life.

Key Responsibilities:

• Contribute to the development and deployment of scalable AI solutions across various product lines.
• Work closely with stakeholders to translate business needs into technical implementations.
• Build and optimise GenAI architectures using industry-leading tools and frameworks.
• Develop solutions leveraging cloud-based AI services, particularly within the Azure ecosystem (e.g., Azure OpenAI).
• Support the implementation and refinement of Retrieval-Augmented Generation (RAG) systems, including embedding strategies and indexing techniques.
• Assist in managing evaluation pipelines and frameworks using tools such as Langfuse.
• Document and share best practices related to GenAI and Agentic AI architectures.

Required Skills and Experience:

• Solid background in software engineering or machine learning engineering, with hands-on experience in real-world projects.
• Proven ability to design and deploy production-grade Generative AI solutions.
• Strong programming skills in Python.
• Experience with cloud AI platforms, preferably Azure or AWS.
• Familiarity with GenAI tools and both open-source and commercial LLMs.
• Understanding of advanced AI architectures such as Agentic AI and RAG (including GraphRAG).
• Proficiency with frameworks like LangChain, LlamaIndex, and evaluation tools such as Langfuse.

Position: Analytics Engineer



Location: London (hybrid 3 times a week)
Department: IT
Type: 3 months rolling contract
Outside IR35


The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making.


Key Responsibilities

• Design and build data products, with proficiency throughout the data lifecycle.
• Develop robust data models through close collaboration with business users and the engineering team.
• Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks.
• Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management.
• Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning.
• Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis.
• Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers.
• To work independently and to manage multiple data tasks in a fast-paced environment
• Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making
• Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes.

Requirements

• At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role
• Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies.
• Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks.
• Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP.
• Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting
• Solid understanding of relevant data governance, data quality, and data security best practices
• Strong problem-solving skills, and the ability to think critically and analytically
• High experience in documentation and data dictionaries
• Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
• Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders

Please can you send me a copy of your CV if you're interested

Data Scientist - Contract


This position involves developing AI and data science solutions to address key business challenges in the insurance sector. The work includes close collaboration with underwriters, product managers, and other stakeholders to ensure meaningful business impact. Projects may include building a digital high net worth insurance product or a portfolio analysis tool.

Key Responsibilities
* Participate in all phases of the software development lifecycle
* Design and document solutions following internal delivery frameworks
* Adhere to coding, testing, and design standards and best practices
* Collaborate with testing teams during product testing and user acceptance
* Support deployment activities across environments
* Provide regular updates on progress, risks, and issues
* Troubleshoot and resolve operational issues promptly
* Pursue certifications to enhance software engineering skills

Candidate Profile
* Familiarity with the insurance industry
* Proficiency in Python for traditional data science
* Experience with generative AI tools, especially Gemini
* Knowledge of cloud platforms such as Azure or GCP
* Ability to interpret technical design documentation
* Strong communication skills across disciplines
* Experience working in Agile environments
* Effective time management and prioritisation
* Strong analytical and problem-solving capabilities
* Comfortable working in fast-paced, ambiguous settings
* Holds a degree in Information Technology or Computer Science

London 2 days a week
Outside IR35
Need someone immediately available

Please send me a copy of your CV is you're interested