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For Permanent and Contract in London

    Senior Sales Executive - Data

    England, London

    • £80,000 to £100,000 GBP
    • Engineer Role
    • Skills: Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks)
    • Seniority: Senior

    Job description



    Senior Sales Executive - Data & Analytics

    London - Hybrid - Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks) £80k - £100k



    Join a high‑growth, high‑impact data consultancy

    A leading provider of data engineering, analytics, cloud data platforms, and AI‑driven solutions, this organisation partners with mid‑market and enterprise businesses across the UK to help them modernise, transform, and unlock the real value of their data.

    If you're a motivated sales professional who thrives in a fast‑moving, high‑demand environment, this is the ideal place to excel. You'll benefit from the support of world‑class pre‑sales specialists, solution architects, and delivery teams-allowing you to focus on building relationships, driving revenue, and securing exciting new projects.

    This is an opportunity where you can truly make your mark, develop your career, and sell services that clients actively need and value.



    You'll work with:

    In this role, you will be responsible for:
    • Developing new business opportunities across mid‑market and enterprise clients.
    • Managing the full sales lifecycle, supported by strong pre‑sales and delivery teams.
    • Building and nurturing a healthy sales pipeline aligned to revenue targets.
    • Owning and expanding existing accounts through upsell and cross‑sell opportunities.
    • Engaging with senior stakeholders such as Heads of Data, Analytics Managers, and IT Directors.
    • Delivering presentations, solution workshops, proposals, and client discussions.
    • Collaborating closely with marketing, pre‑sales, onshore and offshore delivery teams.
    • Maintaining accurate forecasting, CRM activity, and reporting.




    Benefits

    What's on offer:
    • Competitive salary with performance‑based commissions.
    • Opportunity to sell high‑demand services in data engineering, analytics, and AI.
    • Strong pre‑sales and delivery support so you can focus on client engagement.
    • Clear pathways for career growth and continuous learning.
    • Exposure to leading UK mid‑market and enterprise clients.


    Key Experience

    We're looking for candidates with:
    • 5-7 years of B2B sales experience in Data, Analytics, Cloud, or Digital Services.
    • Experience selling consulting or managed services.
    • Strong understanding of modern data engineering and cloud platforms (Azure, AWS, Snowflake, Databricks - high‑level).
    • Excellent communication and stakeholder management skills.
    • Experience working with pre‑sales and offshore delivery models (desirable).
    • Exposure to enterprise or mid‑market clients within sectors such as Insurance, Public Sector, or BFSI (desirable).


    Ready to take the next step in your sales career?

    This is a high‑impact role in a rapidly growing organisation, don't miss the chance to be part of a leading force in the UK's data and analytics landscape.

    Data Engineer

    England, London

    • £65,000 to £80,000 GBP
    • Consultant Role
    • Skills: Remote - Azure - Databricks - up to £80k
    • Seniority: Senior

    Job description



    Data Engineer

    Remote - Azure - Databricks - up to £80k

    I'm working with a client who are a leading Microsoft consultancy that's growing fast and shaping the future of data. They are continuing to grow, driving innovation and help clients accelerate their cloud transformation journeys. With a pipeline of cutting-edge projects, this is your chance to work at the forefront of cloud data engineering and make a real impact.



    You'll Work With
    • Designing and delivering scalable projects using Databricks, Synapse & Fabric
    • Build and optimise ETL/ELT pipelines and data models with SQL & Python
    • Create advanced Power BI dashboards for actionable insights
    • Implement data lakes and medallion lakehouse architecture
    • Ensure data quality, governance & security across all solutions
    • Collaborate in an Agile environment with cross-functional teams
    • Drive cloud migrations and champion best practices in data engineering


    Benefits
    • Rapid Growth & Exciting Projects - Work on cutting-edge Microsoft Cloud solutions
    • Investment in YOU - Training, certifications & clear career pathways
    • Fully Remote - Home-based contract with travel expenses covered
    • 25 days holiday
    • Private health insurance (after one year)
    • Life assurance (4x base salary)
    • Enhanced parental pay
    • Perkbox, cycle scheme, electric car scheme




    Key experience
    • Strong background in Azure Synapse, Databricks, and/or Microsoft Fabric
    • Expertise in ETL/ELT development using SQL & Python
    • Experience with data lakes and large-scale datasets
    • Solid understanding of BI & data warehousing concepts






    Ready to take the next step in your career? Don't delay, apply now!

    Data Engineer

    England, London

    • £50,000 to £65,000 GBP
    • Engineer Role
    • Skills: Data Engineer - Databricks / Fabric - Azure
    • Seniority: Mid-level

    Job description



    Data Engineer - Databricks / Fabric - Azure - Hybrid - London - £50k-£65k

    Are you ready to take your Data Engineering career to the next level? Join one of the UK's fastest-growing consultancies and work on cutting-edge Azure projects, next-gen lakehouse architectures, and enterprise-scale transformation programmes that truly make an impact.

    This is more than just a job, it's a chance to own meaningful projects, accelerate your growth, and become part of a team that's shaping the future of data engineering.



    Why This Role Stands Out
    • Modern Tech Stack: Work hands-on with Azure Synapse, Databricks, and Microsoft Fabric on innovative solutions.
    • Enterprise Impact: Deliver scalable, high-performance data platforms for major organisations across diverse industries.
    • Career Acceleration: Structured training, funded certifications, and clear progression paths, your growth is a priority.
    • Flexibility: London office




    What You'll Do
    • Design and deliver modern data solutions using Databricks, Synapse, and Fabric.
    • Build and optimise ETL/ELT pipelines and data models with SQL & Python.
    • Develop Power BI dashboards that drive insight-led decisions.
    • Implement data lakes and medallion lakehouse architectures.
    • Champion data quality, governance, and security standards.
    • Collaborate in Agile, cross-functional teams on major cloud migration and modernisation projects.




    Looking For
    • Strong experience with Azure Synapse, Databricks, or Microsoft Fabric.
    • Solid SQL & Python skills for ETL/ELT development.
    • Hands-on experience with data lakes and large datasets.
    • Good understanding of BI, data warehousing, and modern data architectures.




    Why You'll Love It Here
    • High-Growth Environment: Be part of a consultancy that's scaling fast and leading the Microsoft data space.
    • Real Impact: Your work will shape enterprise-grade solutions and transformation programmes.
    • Continuous Learning: Certifications, training, and mentorship to keep you ahead of the curve.




    Ready to make your mark?
    Roles like this don't stay open for long, apply now and take the next big step in your career!

    Senior Security Risk Specialist

    England, London

    • £600 to £650 GBP
    • Engineer Role
    • Skills: llms
    • Seniority: Senior

    Job description



    Security Risk Specialist -LLM's



    Location: London
    Department: Security Risk Management
    Reports to: Head of Security Risk Management & Assurance Inside IR35
    Two Days in London
    Must have LLM's

    Overview



    A leading technology‑driven organisation is seeking a Security Risk Specialist to support the design, implementation, and continuous improvement of its security risk management framework. This role will work across a variety of security risk activities, contributing directly to the organisation's overall security posture and the maturity of its risk function.

    This position is well‑suited to a pragmatic, motivated individual with strong experience in security risk management and an interest in modern risk practices, automation, and responsible use of AI technologies.

    Key Responsibilities

    • Operate and enhance the organisation's security risk management framework in alignment with business objectives, industry standards, regulatory requirements, and stakeholder expectations
    • Conduct security risk assessments and support the development of risk mitigation recommendations and tailored treatment strategies
    • Analyse and optimise existing risk management processes, identifying gaps and opportunities for improvement, including automation and tooling
    • Collaborate with cross‑functional teams to embed security risk management processes and advise on risks, controls, and best practices within relevant business contexts
    • Produce, track, and improve security risk metrics and reporting to strengthen visibility and decision‑making
    • Contribute to the development and refinement of security awareness and risk management training materials

    Requirements



    Candidates should have:
    • Hands‑on experience in security risk management within a fast‑paced organisation, ideally within the technology or regulated sectors
    • Experience designing, implementing, and improving processes and procedures for security risk management
    • Experience conducting security risk assessments in cloud environments
    • Understanding of technologies and operational practices used by modern agile organisations
    • Experience defining, using, and enhancing security metrics and risk reporting
    • Ability to engage effectively with both technical and non‑technical stakeholders across the business
    • Familiarity with standards such as PCI‑DSS, NIST SP800‑53, NIST CSF, ISO 27001, and SOC 2
    • Practical experience using Large Language Models (LLMs) inday‑to‑day security risk management activities, including:
      • Accelerating risk analysis and documentation
      • Supporting control gap analysis and evidence reviews
      • Assisting with the development of policies, standards, and procedures
      • Enhancing reporting, insights, and stakeholder communication
    • Ability to identify opportunities to responsibly apply automation and AI/LLMs to improve efficiency, consistency, and scalability

    Preferred

    • A blend of consulting and in‑house industry experience
    • Experience implementing enterprise‑grade integrated risk management or GRC solutions
    • Professional certifications such as CISM, CRISC, CISA, CISSP


    Please send me a copy of your CV if you meet the requirements


    Data Migration Engineer

    England, London

    • £400 to £450 GBP
    • Consultant Role
    • Skills: ETL, SQL, SAP, ERP, Delli boomi, mulesoft
    • Seniority: Senior

    Job description



    Data Migration Engineer (Contract)

    12 months contract
    Remote

    Key Requirements: ERP background,strong ETL, must have Dell Boomi

    Role Summary
    We are looking for a hands-on Data Migration Engineer to support a large-scale ERP transition by planning, executing, and validating migration of data from multiple legacy systems into a new enterprise platform. The role requires strong ownership of end-to-end migration activities, ensuring data accuracy, integrity, and compliance throughout the process.

    Key Responsibilities
    • Analyse legacy system data structures and define mapping rules aligned to the new ERP model.
    • Design and execute ETL workflows for data extraction, transformation, and loading.
    • Plan and run trial migrations, validate outputs, and reconcile results against source systems.
    • Drive data cleansing and de-duplication efforts to improve overall data quality before migration.
    • Define and implement archival strategies for legacy data not moved to the new platform.
    • Maintain detailed documentation, validation records, and traceability across all migration activities.
    • Collaborate with cross-functional teams (implementation, validation, QA, and business stakeholders) during preparation, testing, and cutover phases.
    • Support final cutover and stabilization, ensuring smooth transition into the production environment.


    Key Skills & Experience
    • Proven experience in ERP data migration programs (SAP, Oracle, Dynamics, or similar).
    • Strong hands-on expertise in ETL tools, SQL, and data transformation techniques.
    • Experience with data mapping, data quality improvement, de-duplication, and archival processes.
    • Familiarity with integration platforms (e.g., Boomi, MuleSoft, Informatica, Talend, SSIS) and cloud-based ERP environments.
    • Understanding of validation processes, audit readiness, and structured documentation practices.
    • Strong problem-solving ability, attention to detail, and ability to work independently.
    • Good communication skills and ability to work across technical and business teams.


    Expected Outcomes
    • Well-defined data migration strategy and execution plan.
    • Clean, validated, and reconciled data migrated into the new ERP platform.


    Complete documentation, validation artifacts, and migration reports

    This role is suited for someone who can take ownership of migration activities end-to-end, operate with minimal supervision, and bring both technical depth and execution discipline to a complex transformation initiative.



    Please send a copy of your CV if you're interested and have Dell Boomi, ERP and ETL experience

    AI Engineer

    England, London

    • £80,000 to £105,000 GBP
    • Consultant Role
    • Skills: Python, AI, AWS
    • Seniority: Senior

    Job description



    Unlock your potential as an AV

    AI Engineer

    Location: London
    Salary: £105,000

    Are you an experienced engineer with hands‑on expertise in Python, LLMs, and modern cloud technologies? We're looking for a Lead Engineer to join a high-impact Generative AI feature team, building applications used by thousands of colleagues daily. This is a unique opportunity to drive AI innovation at scale within a highly regulated environment.



    About the Role

    As a Lead Engineer, you will design, develop, and enhance software solutions using modern engineering practices. You'll act as an SME within the Generative AI domain, shaping technical direction, guiding others, and influencing both strategy and implementation.

    You will lead a small team, provide mentorship, conduct code reviews, and drive a culture of technical excellence. This role offers a blend of hands-on engineering, leadership, and strategic input - perfect for someone ready to step into a high-ownership position.



    Key Responsibilities:
    • Build high‑quality, scalable, maintainable Python-based applications.
    • Develop and deploy AI-driven applications, including those using LLMs.
    • Collaborate closely with product, design, and engineering teams.
    • Contribute to solution design, architecture, and secure coding practices.
    • Drive testing best practices and ensure repeatable, reliable deployments.
    • Mentor and guide junior engineers; support ongoing capability development.
    • Lead technical discussions, code reviews, and cross-functional collaboration.
    • Influence decision‑making and contribute to policy/standards.
    • Support risk management, governance, and control requirements.
    • Contribute to the organisation's Generative AI strategy as a subject matter expert.
    • Analyse complex, multi-source data to inform design and decision‑making.
    • Communicate complex or sensitive information clearly to senior stakeholders.




    Required Experience

    To succeed in this role, you should have strong hands-on capability in:
    • Python
    • Working with Large Language Models (LLMs)
    • Cloud technologies, ideally AWS (Bedrock, Lambda, S3, Lex, CloudWatch)
    • Prompt optimisation and evaluation methodologies
    • Strong communication skills, especially in cross-functional environments
    • Mentoring, coaching, or guiding other engineers


    AI Product manager

    England, London

    • £75,000 to £115,000 GBP
    • Manager Role
    • Skills: AI Product manager
    • Seniority: Senior

    Job description



    AI Product Manager - Up to £115,000 - London (Hybrid)

    I am working with a major name in financial services, a global organisation trusted by millions of customers. They are investing heavily in AI and digital transformation, and this role sits right at the centre of that growth.

    We are looking for a Technical Product Owner at VP level to drive the evolution of digital and AI‑powered conversational solutions. This is a fantastic opportunity to shape strategy, influence technical direction, and bring cutting‑edge AI products to life. You will work closely with cross‑functional teams, guide decision‑making, and help define the future of AI-enabled customer experiences.



    You will work with
    • Keeping ahead of emerging technologies and identifying areas to innovate.
    • Playing a crucial role in steering AI-powered conversational capabilities for millions of users.
    • Defining and delivering the technical product vision and roadmap
    • Working with product owners, engineering teams, and key stakeholders to prioritise features and requirements.
    • Leading continuous testing and performance monitoring to drive iterative improvement.


    Benefits
    • Salary up to £115,000
    • Hybrid working model (London-based)
    • Opportunity to shape and lead major AI initiatives
    • Work with modern technology in a forward-thinking environment
    • Clear senior-level career progression
    • High visibility across the organisation






    What they are Looking For
    • Strong experience in technical product management with a strategic, forward-thinking approach.
    • A proven track record working on NLP-based products and AI-driven solutions.
    • The ability to lead, influence, and collaborate with cross‑functional teams at senior levels.


    Ready to?
    • Take control in AI innovation and be central to major digital transformation.
    • Work with cutting-edge technologies in a high-impact environment.
    • Enjoy competitive compensation and a clear path for growth.
    • Be part of a forward‑thinking organisation committed to customer obsession and continuous improvement.




    If you're excited by the idea of shaping enterprise-scale AI products and driving strategic change? Apply now!

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    AI Security Engineer - Up to £100,000 - Hybrid

    England, London

    • £80,000 to £100,000 GBP
    • Engineer Role
    • Skills: AWS, Azure, Python, Bash
    • Seniority: Senior

    Job description

    AI Security Engineer - Up to £100,000 - 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:


    • Advise and influence decision-making, contribute to policy development and take responsibility for operational effectiveness.


    • 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


    • Lead collaborative assignments, guiding cross-functional teams and identifying where additional specialist expertise is required.


    • Provide consultation on complex issues, supporting the resolution of escalated matters.


    • Identify and mitigate risks, strengthening governance and controls through enhanced policies and procedures.


    • Take ownership of risk management and control effectiveness within your remit.


    • 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.

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    AI Lead - Associate Director

    England, London

    • £100,000 to £115,000 GBP
    • Manager Role
    • Skills: AI, ML, Data Science
    • Seniority: Senior

    Job description



    Senior Manager - Artificial Intelligence

    £100,000-£115,000 | Hybrid | 3 days per week in London office

    My client, a leading organisation in the financial services sector, is seeking a Senior Manager of AI to drive the development and delivery of next‑generation AI solutions for major insurance clients. This is an opportunity to shape complex transformation programmes, influence senior stakeholders, and lead high‑performing multidisciplinary teams working at the forefront of data, AI and emerging technologies.

    The Role

    In this position, you'll act as a strategic partner to clients-helping them uncover opportunities, define AI‑enabled solutions, and ensure successful delivery from start to finish. You'll oversee both the technical and commercial aspects of engagements, owning project outcomes while guiding teams across data science, engineering, product, and business analysis.

    Salary and Benefits
    • Competitive salary of up to £115,000
    • Hybrid working - 3 days per week in London-based office
    • 26 days annual leave plus bank holidays
    • Company bonus scheme
    • Additional cash benefits
    • Private medical care
    • And many more


    Key Responsibilities
    • Work closely with senior insurance stakeholders to understand business challenges and design AI‑driven solutions.
    • Lead business development activities including client relationship building, proposal development and strategic growth initiatives.
    • Manage and mentor teams delivering data science, generative AI, and machine‑learning‑based products.
    • Oversee end‑to‑end project delivery, ensuring alignment with timelines, budgets and agreed scope.
    • Promote responsible AI by implementing strong data privacy, security and ethical governance frameworks.
    • Communicate progress, risks and insights clearly to both technical and non‑technical audiences.
    • Stay ahead of market trends, emerging tools and evolving AI capabilities.


    Essential Experience
    • Significant experience within the insurance industry, with strong knowledge of sub‑sectors and business models.
    • Proven track record delivering production‑grade AI solutions at scale.
    • Ability to independently shape go‑to‑market propositions and translate business problems into technical strategies.
    • Strong delivery and project management expertise.
    • Deep understanding of AI technologies, including generative AI.
    • Demonstrated leadership of diverse, multidisciplinary delivery teams.
    • Hands‑on experience working within agile environments.

    AI Engineer

    England, London

    • Negotiable
    • Consultant Role
    • Seniority: Senior

    Job description



    Lead Engineer

    Location: London
    Salary: £105,000

    Are you an experienced engineer with hands‑on expertise in Python, LLMs, and modern cloud technologies? We're looking for a Lead Engineer to join a high-impact Generative AI feature team, building applications used by thousands of colleagues daily. This is a unique opportunity to drive AI innovation at scale within a highly regulated environment.



    About the Role

    As a Lead Engineer, you will design, develop, and enhance software solutions using modern engineering practices. You'll act as an SME within the Generative AI domain, shaping technical direction, guiding others, and influencing both strategy and implementation.

    You will lead a small team, provide mentorship, conduct code reviews, and drive a culture of technical excellence. This role offers a blend of hands-on engineering, leadership, and strategic input - perfect for someone ready to step into a high-ownership position.



    Key Responsibilities:
    • Build high‑quality, scalable, maintainable Python-based applications.
    • Develop and deploy AI-driven applications, including those using LLMs.
    • Collaborate closely with product, design, and engineering teams.
    • Contribute to solution design, architecture, and secure coding practices.
    • Drive testing best practices and ensure repeatable, reliable deployments.
    • Mentor and guide junior engineers; support ongoing capability development.
    • Lead technical discussions, code reviews, and cross-functional collaboration.
    • Influence decision‑making and contribute to policy/standards.
    • Support risk management, governance, and control requirements.
    • Contribute to the organisation's Generative AI strategy as a subject matter expert.
    • Analyse complex, multi-source data to inform design and decision‑making.
    • Communicate complex or sensitive information clearly to senior stakeholders.




    Required Experience

    To succeed in this role, you should have strong hands-on capability in:
    • Python
    • Working with Large Language Models (LLMs)
    • Cloud technologies, ideally AWS (Bedrock, Lambda, S3, Lex, CloudWatch)
    • Prompt optimisation and evaluation methodologies
    • Strong communication skills, especially in cross-functional environments
    • Mentoring, coaching, or guiding other engineers