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Implementation Engineer - £60,000 - Remote

Location: Remote (UK-based)
Salary: Competitive + Benefits

About the Role
My client is seeking a Software Implementation Engineer to lead the successful delivery and configuration of a compliance-focused software platform for global clients. This is a hands-on role where you will manage end-to-end implementation projects, ensuring systems are tailored to meet customer requirements and industry best practices.

Key Responsibilities

• Manage and execute implementation plans and work packages
• Gather and document client requirements, configuring systems accordingly
• Develop User Acceptance Testing scripts and oversee testing phases
• Deliver client training sessions and create supporting documentation
• Provide post-implementation support and drive continuous improvement
• Report and resolve software changes or bugs within project timelines

What We're Looking For

• Strong technical skills in SQL, HTML/CSS, Excel VBA
• Experience with software implementation and support
• Familiarity with supply chain planning/ERP systems
• Knowledge of product compliance regulations (e.g., RoHS, REACH, WEEE, Conflict Minerals)
• Experience with PLM systems such as PTC Windchill, Teamcenter, Oracle Agile, or SAP PLM
• Excellent communication skills and ability to work autonomously
• Exposure to ASP.NET/C# development preferred

Head of Engineering - AI‑Driven Tech Organisation - Remote

Salary: Up to £150,000
Location: Remote (UK)
Job Type: Permanent



About the Role

A rapidly scaling technology business at the forefront of AI‑assisted engineering is looking for an experienced Head of Engineering to lead three core technical areas: Web, Data, and Data Science. This role is perfect for someone excited by modern engineering practices, greenfield product development, and organisations that use AI as a core part of how they build software. If you enjoy problem‑solving in non‑traditional ways, thrive in a friendly and informal culture, and want to work with cutting‑edge AI tools (including ChatGPT and Gemini), this is an exceptional opportunity.



What You'll Be Doing

• Leading Web, Data, and Data Science teams across a large engineering organisation
• Managing multiple senior direct reports and developing strong leadership capability
• Driving engineering delivery, process quality, and technical standards
• Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications
• Working closely with the C-suite on engineering strategy and org development
• Embedding AI‑driven development workflows (70% of code is generated using AI tools)
• Supporting the build of entirely greenfield products and systems.

Key Requirements:

• Web teams
• Data engineering teams using distributed technologies (e.g., Spark)
• Data Science / ML teams

• Leadership experience over multi‑discipline engineering teams
• Strong soft‑skills leadership: coaching, clarity, communication
• Experience in high‑growth, fast‑changing environments
• A passion for AI, experimentation, and innovative engineering approaches

Why This Role Stands Out:

• Entirely greenfield work across new products and platforms
• Ultra‑modern tech stack and engineering culture
• Company is far ahead of the industry in AI adoption
• Opportunity to work with AI tools daily
• Startup mindset

AI Security Engineer - Up to £67,500 - Hybrid

Purpose of the Role

To develop, implement and maintain security solutions that safeguard organisational systems and sensitive information. The role focuses on securing AI and GenAI capabilities across the enterprise, ensuring innovation is delivered safely, responsibly and in line with regulatory and security standards.

Key Accountabilities

• 
  
  Provide subject matter expertise on security systems, cryptographic engineering patterns and AI security best practices.
• 
  
  Design, develop and implement protocols, algorithms and software applications to protect sensitive data and systems.
• 
  
  Manage and protect secrets, ensuring secure generation, storage and lifecycle management.
• 
  
  Conduct security audits to monitor, identify and assess vulnerabilities across infrastructure and software; support response activities for potential security incidents.
• 
  
  Identify advancements in cryptography, AI security and emerging technologies to drive innovation and adoption of enhanced security controls.
• 
  
  Collaborate with developers, data scientists, security teams and business stakeholders to ensure solutions align with business objectives, policies and regulatory requirements.
• 
  
  Develop, implement and maintain Identity and Access Management (IAM) solutions and privileged access controls.
• 
  
  Lead the GenAI security portfolio within SISO, embedding secure-by-design principles into AI product development and deployment.

Assistant Vice President Expectations

As an AVP, you will:

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  Advise and influence decision-making, contribute to policy development and take responsibility for operational effectiveness.
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  Lead complex initiatives impacting the wider business function, setting objectives and coaching colleagues to deliver high performance.
• 
  
  Demonstrate the LEAD behaviours:
  • 
    
    Listen and be authentic
  • 
    
    Energise and inspire
  • 
    
    Align across the enterprise
  • 
    
    Develop others
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  Lead collaborative assignments, guiding cross-functional teams and identifying where additional specialist expertise is required.
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  Provide consultation on complex issues, supporting the resolution of escalated matters.
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  Identify and mitigate risks, strengthening governance and controls through enhanced policies and procedures.
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  Take ownership of risk management and control effectiveness within your remit.
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  Engage in complex analysis using internal and external data sources to solve problems creatively and effectively.
• 
  
  Communicate complex and sensitive information clearly to technical and non-technical stakeholders.
• 
  
  Influence and engage stakeholders across the organisation to achieve strategic outcomes.

Skills and Experience

To be successful as an AI Security Engineer, you should have:

• 
  
  Strong programming and scripting skills, particularly in Python and Bash.
• 
  
  Strong knowledge of cloud technologies, specifically AWS and Azure.
• 
  
  Strong understanding of API development and API security principles.
• 
  
  Experience implementing and securing Identity and Access Management solutions.
• 
  
  Knowledge of cryptographic principles and secure key management practices.
• 
  
  A solid understanding of security engineering across infrastructure, applications and AI systems.
• 
  
  Good understanding of, or strong interest in, data science methodologies and machine learning concepts.

To apply for this role please submit your CV or contact Dillon Blackburn on 0191 255 1428 or at d.blackburn@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Technical Lead - Data - £70,000

Location: UK - Remote
Employment Type: Full-time, Permanent

About the Role
A Microsoft Partnered Consultancy is looking for a Technical Data Team Lead - to join a dynamic, agile team delivering innovative data solutions for clients. This is a hands-on leadership role where you'll mentor technical consultants, oversee project delivery, and contribute to designing scalable data solutions in cloud environments.

Key Responsibilities:

• Lead and mentor a team of technical consultants, driving engagement and growth.
• Manage resource planning, scheduling, and performance development.
• Collaborate with pre-sales and project teams to scope and deliver data projects.
• Support technical delivery, including cloud migrations, data lakes, and ETL/ELT solutions.
• Ensure best practices and standards are consistently applied across projects.

What We're Looking For

• Proven leadership skills and ability to foster a collaborative team culture.
• Strong hands-on experience in Data Engineering or Data Warehouse development using Microsoft/Azure technologies (Fabric, Databricks, Synapse, Data Factory, SQL Server).
• Expertise in ETL/ELT processes, SQL, and Python.
• Knowledge of data lake implementation and medallion lakehouse architecture.
• Solid understanding of BI, data warehousing concepts, and optimisation techniques for large-scale solutions.

What's on Offer

• Competitive salary and bonus.
• Flexible remote working with occasional travel which is fully expensed
• Holiday allowance and home working support.
• Private health insurance, life assurance, and enhanced parental leave.

Principal AI & Data Architect - Remote - Up to £110,000

A leading Microsoft-focused technology consultancy is seeking a highly experienced Principal AI & Data Architect to drive the design, strategy, and delivery of advanced data and AI solutions across enterprise clients.

This is a senior, hands‑on position for someone who thrives on shaping modern data platforms, influencing C‑suite stakeholders, and guiding teams in the delivery of cutting-edge cloud and AI architectures.



About the Role:

• Lead the architecture and design of large-scale data and AI platforms across the Microsoft ecosystem.
• Define technical standards, best practices, and architectural governance.
• Drive pre-sales engagements, translate business needs into solution architectures, and support bid responses.
• Run workshops with technical and non-technical stakeholders, including C-level leaders.
• Provide technical leadership across delivery programmes and mentor internal teams.
• Collaborate on internal product development and reusable solution assets.

This role combines strategic leadership with hands-on architectural work, contributing directly to customer success and revenue growth.



Key Skills & Experience

• Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric.
• AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI.
• Modern Data Architecture - lakehouse, data mesh, ELT/ETL, MDM, dimensional modelling.
• Microsoft Business Applications - Dynamics 365, Power Platform.
• Delivery & Engineering - DevOps, Agile, CI/CD, governance.