Data Scientist - up to £450/day Outside IR35 - Hybrid

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.Responsibilities for the AI Engineer:Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer:Strong proficiency in Python with extensive experience using AI, ML and NLP librariesHands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluationPractical experience with core Generative AI frameworks and agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering full-stack AI or ML systems within enterprise environmentsStrong understanding of advanced agent architectures, reasoning systems and autonomous workflowsExcellent communication and stakeholder management capabilityExperience supporting proposals, client-facing discussions or technical presentationsIf you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence

Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities.This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment.Responsibilities for the Senior GCP Platform Engineer:Design, build and support scalable Google Cloud infrastructure and platform solutionsDevelop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform CloudCurate and manage enterprise-grade GCP cloud products and servicesBuild automation workflows and tooling using Python scriptingSupport and optimise GKE, Kubernetes and Istio Service Mesh environmentsAudit and improve existing Terraform modules and state managementImplement secure, policy-driven infrastructure using Sentinel / OPASupport CI/CD integration and deployment automation across cloud platformsEnforce governance, compliance and security controls across GCP environmentsCollaborate with engineering teams to improve cloud adoption and operational efficiencyEssential Skills for the Senior GCP Platform Engineer:Strong experience across GCP Cloud Engineering and DevOpsStrong hands-on experience with Terraform / Terraform CloudExperience with Python scripting and automationExperience with GKE, Kubernetes and Istio Service MeshExperience with CI/CD tooling including; Jenkins, Harness & GitHubExperience implementing Policy as Code using Sentinel or OPAStrong understanding of secure cloud governance and GCP organisational policiesGCP and Terraform certifications highly beneficialDesirable Skills for the Senior GCP Platform Engineer:Experience acting as a GCP Cloud SMEExperience guiding cloud architecture and platform strategyExposure to cloud engineering platforms such as BackstageExperience within large-scale enterprise cloud transformation programmesIf you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.

Senior OT Security Engineer Salary: up to £85,000 + Bonus + Benefits Location: Royal Leamington Spa - 3/week Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior OT Security Engineer to support and enhance cyber security across large-scale industrial and manufacturing environments.This Senior OT Security Engineer role will focus on strengthening OT security posture, improving visibility across operational technology environments, and optimising enterprise OT security tooling with a strong focus on the Armis Centrix platform.Responsibilities for the Senior OT Security Engineer:Manage and optimise the Armis Centrix platform across plant and OT environmentsReview and improve OT security architecture, collector deployment and asset coverageStandardise and enhance Armis configurations aligned to best practicesTune alerts, reduce false positives and improve threat visibilityImprove asset inventory, vulnerability management and reporting accuracyDesign and implement new OT threat detection use casesDevelop reporting across assets, vulnerabilities and OT threatsCollaborate with plant teams, vendors and security stakeholders to align operational and security requirementsSupport incident management, automation and OT security operations processesEssential Skills for the Senior OT Security Engineer:Strong experience within OT / ICS Security environmentsHands-on experience with the Armis Centrix platform or similarStrong understanding of PLC, DCS, MES and SCADA systemsStrong knowledge of OT network infrastructure and architectureExperience with vulnerability management and security operations within OT environmentsUnderstanding of security technologies including: IAM, EDR, Firewalls, PKI, DLP, DAMExperience with SIEM technologies such as: Google Chronicle, Splunk ES & QRadarExperience with log source integration, correlation rules and parser developmentStrong stakeholder engagement and communication skillsDesirable Skills for the Senior OT Security Engineer:Experience within manufacturing, utilities, healthcare or energy sectorsExposure to AWS or cloud operationsExperience supporting global industrial environmentsExperience within Agile delivery environmentsIf you are an experienced OT Security professional looking to work across complex industrial environments with modern OT cyber technologies, this role offers strong technical ownership and exposure to enterprise-scale security operations.

Job title: Infrastructure Engineer Location: Leicester - 3 days a week onsite Salary: Up to £45,000 + Benefits Start date: ASAP Working hours: 9:00am - 5:30pm - 1 in 4 weeks on-call We are partnering with a highly reputable organisation seeking an Infrastructure Engineer to assist in delivering a large onprem to cloud migration (Azure). The Infrastructure Engineer position offers a variety of responsibilities, with no two days being the same, giving you the opportunity to broaden your technical skill set to become a well-rounded IT professional.The Infrastructure Engineer position is a technical, delivery-focused role within a hybrid environment. You will act as an escalation point for the 1st and 2nd Line team, support day-to-day infrastructure operations, resolving complex technical issues and contributing to the stability and continuous improvement of their environment.Furthermore, alongside the opportunity to work on a range of projects the 3rd Line Engineer will have the chance to progress into a team leader as they increase the team. Essentials - Infrastructure Engineer:Eligible for SC ClearanceNetworkingFirewallsWindows ServerOffice 365 / ADIntune -Virtualisation Desirables - Infrastructure Engineer:AzurePowerShellLinuxHyper-VIf you're a motivated Infrastructure Engineer looking for a new challenge, please apply with your most up to date CV.

Databricks Solution Architect (Azure / Lakehouse) Salary: Up to £90,000 + Bonus + Benefits Location: Reading - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms.This Databricks Solution Architect role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment.Responsibilities for the Databricks Solution Architect:Design and implement scalable Lakehouse, warehouse and enterprise data architecturesBuild and optimise ETL / ELT pipelines using Azure DatabricksDesign data solutions using Azure Data Lake, Azure Data Factory and cloud storage servicesLead greenfield Lakehouse framework implementationsDefine conceptual, logical and physical data modelsEstablish data governance, security and compliance standardsImplement partitioning, clustering and optimisation strategies for performance and scalabilityCollaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutionsContribute hands-on development using PySpark, SQL and PythonSupport CI/CD and DevOps practices using Git-based version controlPresent architectural designs to governance and review forumsEssential Skills for the Databricks Solution Architect:Strong experience designing ETL / ELT pipelines using Azure DatabricksHands-on experience with Azure Data Lake and Azure Data FactoryStrong experience implementing Lakehouse architecture in greenfield environmentsStrong knowledge of data modelling and enterprise data architectureExperience implementing data governance, metadata and security frameworksExperience working across enterprise-scale cloud data landscapesStrong understanding of performance optimisation and data management strategiesExperience with PySpark, SQL and Python SparkDesirable Skills for the Databricks Solution Architect:Strong stakeholder management and communication skillsExperience working within Agile delivery environmentsExperience collaborating with large cross-functional delivery teamsRetail industry experience beneficialIf you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.

Oracle Fusion HCM Techno-Functional Lead Salary: up to £120,000 + Benefits Location: UK Wide - Remote / Hybrid Travel: Occasional travel to Belfast (typically 1-2 times per month, expenses covered) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Oracle Fusion HCM Techno-Functional Lead to play a key role within a major Oracle transformation programme.This Oracle Fusion HCM Techno-Functional Lead role will act as the bridge between Oracle HCM configuration teams and technical delivery teams, ensuring business requirements are translated into scalable reporting, integration and platform solutions across the Oracle Fusion ecosystem.Responsibilities for the Oracle Fusion HCM Techno-Functional Lead:Lead the Oracle HCM workstream across reporting, integrations and technical solution deliveryProvide functional expertise across Oracle Fusion HCM modules including Core HR, Talent, Payroll and BenefitsTranslate business requirements into scalable Oracle reporting and integration solutionsWork closely with technical teams delivering integrations, reports and PaaS extensionsLead customer workshops to gather requirements and align stakeholdersMap existing reporting catalogues to Oracle Fusion reporting capabilitiesIdentify reporting and integration gaps and define appropriate solutionsCollaborate with functional and technical teams to support successful implementation deliveryPromote Oracle best practices and minimise unnecessary customisationSupport risk management, issue resolution and governance activities across the HCM workstreamEssential Skills for the Oracle Fusion HCM Techno-Functional Lead:Strong experience with Oracle Fusion HCM implementationsStrong techno-functional knowledge across modules such as; Core HR, Talent Management, Absence Management, Benefits, PayrollStrong knowledge of Oracle reporting tools including: OTBI, BI Publisher, HCM Analytics, ERP AnalyticsExperience with: HCM Loader (HDL), HCM Extracts, HCM REST APIs, Atom FeedsExperience designing integrations and technical solutions within Oracle FusionStrong stakeholder engagement and workshop facilitation skillsStrong analytical and problem-solving capabilityExperience supporting testing, configuration and solution validation activitiesDesirable Skills for the Oracle Fusion HCM Techno-Functional Lead:Experience delivering Oracle Fusion transformation programmes within large enterprise environmentsExperience working closely with offshore or distributed delivery teamsExperience with Oracle PaaS extensions and broader Oracle Cloud technologiesStrong understanding of reporting governance and enterprise data managementIf you are an experienced Oracle Fusion HCM specialist looking to influence large-scale transformation programmes while combining functional and technical expertise, this role offers strong visibility, ownership and long-term impact.

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.Responsibilities for the AI Engineer:Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer:Strong proficiency in Python with extensive experience using AI, ML and NLP librariesHands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluationPractical experience with core Generative AI frameworks and agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering full-stack AI or ML systems within enterprise environmentsStrong understanding of advanced agent architectures, reasoning systems and autonomous workflowsExcellent communication and stakeholder management capabilityExperience supporting proposals, client-facing discussions or technical presentationsIf you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence

Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities.This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment.Responsibilities for the Senior GCP Platform Engineer:Design, build and support scalable Google Cloud infrastructure and platform solutionsDevelop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform CloudCurate and manage enterprise-grade GCP cloud products and servicesBuild automation workflows and tooling using Python scriptingSupport and optimise GKE, Kubernetes and Istio Service Mesh environmentsAudit and improve existing Terraform modules and state managementImplement secure, policy-driven infrastructure using Sentinel / OPASupport CI/CD integration and deployment automation across cloud platformsEnforce governance, compliance and security controls across GCP environmentsCollaborate with engineering teams to improve cloud adoption and operational efficiencyEssential Skills for the Senior GCP Platform Engineer:Strong experience across GCP Cloud Engineering and DevOpsStrong hands-on experience with Terraform / Terraform CloudExperience with Python scripting and automationExperience with GKE, Kubernetes and Istio Service MeshExperience with CI/CD tooling including; Jenkins, Harness & GitHubExperience implementing Policy as Code using Sentinel or OPAStrong understanding of secure cloud governance and GCP organisational policiesGCP and Terraform certifications highly beneficialDesirable Skills for the Senior GCP Platform Engineer:Experience acting as a GCP Cloud SMEExperience guiding cloud architecture and platform strategyExposure to cloud engineering platforms such as BackstageExperience within large-scale enterprise cloud transformation programmesIf you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.

Senior OT Security Engineer Salary: up to £85,000 + Bonus + Benefits Location: Royal Leamington Spa - 3/week Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior OT Security Engineer to support and enhance cyber security across large-scale industrial and manufacturing environments.This Senior OT Security Engineer role will focus on strengthening OT security posture, improving visibility across operational technology environments, and optimising enterprise OT security tooling with a strong focus on the Armis Centrix platform.Responsibilities for the Senior OT Security Engineer:Manage and optimise the Armis Centrix platform across plant and OT environmentsReview and improve OT security architecture, collector deployment and asset coverageStandardise and enhance Armis configurations aligned to best practicesTune alerts, reduce false positives and improve threat visibilityImprove asset inventory, vulnerability management and reporting accuracyDesign and implement new OT threat detection use casesDevelop reporting across assets, vulnerabilities and OT threatsCollaborate with plant teams, vendors and security stakeholders to align operational and security requirementsSupport incident management, automation and OT security operations processesEssential Skills for the Senior OT Security Engineer:Strong experience within OT / ICS Security environmentsHands-on experience with the Armis Centrix platform or similarStrong understanding of PLC, DCS, MES and SCADA systemsStrong knowledge of OT network infrastructure and architectureExperience with vulnerability management and security operations within OT environmentsUnderstanding of security technologies including: IAM, EDR, Firewalls, PKI, DLP, DAMExperience with SIEM technologies such as: Google Chronicle, Splunk ES & QRadarExperience with log source integration, correlation rules and parser developmentStrong stakeholder engagement and communication skillsDesirable Skills for the Senior OT Security Engineer:Experience within manufacturing, utilities, healthcare or energy sectorsExposure to AWS or cloud operationsExperience supporting global industrial environmentsExperience within Agile delivery environmentsIf you are an experienced OT Security professional looking to work across complex industrial environments with modern OT cyber technologies, this role offers strong technical ownership and exposure to enterprise-scale security operations.

Job title: Infrastructure Engineer Location: Leicester - 3 days a week onsite Salary: Up to £45,000 + Benefits Start date: ASAP Working hours: 9:00am - 5:30pm - 1 in 4 weeks on-call We are partnering with a highly reputable organisation seeking an Infrastructure Engineer to assist in delivering a large onprem to cloud migration (Azure). The Infrastructure Engineer position offers a variety of responsibilities, with no two days being the same, giving you the opportunity to broaden your technical skill set to become a well-rounded IT professional.The Infrastructure Engineer position is a technical, delivery-focused role within a hybrid environment. You will act as an escalation point for the 1st and 2nd Line team, support day-to-day infrastructure operations, resolving complex technical issues and contributing to the stability and continuous improvement of their environment.Furthermore, alongside the opportunity to work on a range of projects the 3rd Line Engineer will have the chance to progress into a team leader as they increase the team. Essentials - Infrastructure Engineer:Eligible for SC ClearanceNetworkingFirewallsWindows ServerOffice 365 / ADIntune -Virtualisation Desirables - Infrastructure Engineer:AzurePowerShellLinuxHyper-VIf you're a motivated Infrastructure Engineer looking for a new challenge, please apply with your most up to date CV.

Databricks Solution Architect (Azure / Lakehouse) Salary: Up to £90,000 + Bonus + Benefits Location: Reading - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms.This Databricks Solution Architect role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment.Responsibilities for the Databricks Solution Architect:Design and implement scalable Lakehouse, warehouse and enterprise data architecturesBuild and optimise ETL / ELT pipelines using Azure DatabricksDesign data solutions using Azure Data Lake, Azure Data Factory and cloud storage servicesLead greenfield Lakehouse framework implementationsDefine conceptual, logical and physical data modelsEstablish data governance, security and compliance standardsImplement partitioning, clustering and optimisation strategies for performance and scalabilityCollaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutionsContribute hands-on development using PySpark, SQL and PythonSupport CI/CD and DevOps practices using Git-based version controlPresent architectural designs to governance and review forumsEssential Skills for the Databricks Solution Architect:Strong experience designing ETL / ELT pipelines using Azure DatabricksHands-on experience with Azure Data Lake and Azure Data FactoryStrong experience implementing Lakehouse architecture in greenfield environmentsStrong knowledge of data modelling and enterprise data architectureExperience implementing data governance, metadata and security frameworksExperience working across enterprise-scale cloud data landscapesStrong understanding of performance optimisation and data management strategiesExperience with PySpark, SQL and Python SparkDesirable Skills for the Databricks Solution Architect:Strong stakeholder management and communication skillsExperience working within Agile delivery environmentsExperience collaborating with large cross-functional delivery teamsRetail industry experience beneficialIf you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.

Oracle Fusion HCM Techno-Functional Lead Salary: up to £120,000 + Benefits Location: UK Wide - Remote / Hybrid Travel: Occasional travel to Belfast (typically 1-2 times per month, expenses covered) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Oracle Fusion HCM Techno-Functional Lead to play a key role within a major Oracle transformation programme.This Oracle Fusion HCM Techno-Functional Lead role will act as the bridge between Oracle HCM configuration teams and technical delivery teams, ensuring business requirements are translated into scalable reporting, integration and platform solutions across the Oracle Fusion ecosystem.Responsibilities for the Oracle Fusion HCM Techno-Functional Lead:Lead the Oracle HCM workstream across reporting, integrations and technical solution deliveryProvide functional expertise across Oracle Fusion HCM modules including Core HR, Talent, Payroll and BenefitsTranslate business requirements into scalable Oracle reporting and integration solutionsWork closely with technical teams delivering integrations, reports and PaaS extensionsLead customer workshops to gather requirements and align stakeholdersMap existing reporting catalogues to Oracle Fusion reporting capabilitiesIdentify reporting and integration gaps and define appropriate solutionsCollaborate with functional and technical teams to support successful implementation deliveryPromote Oracle best practices and minimise unnecessary customisationSupport risk management, issue resolution and governance activities across the HCM workstreamEssential Skills for the Oracle Fusion HCM Techno-Functional Lead:Strong experience with Oracle Fusion HCM implementationsStrong techno-functional knowledge across modules such as; Core HR, Talent Management, Absence Management, Benefits, PayrollStrong knowledge of Oracle reporting tools including: OTBI, BI Publisher, HCM Analytics, ERP AnalyticsExperience with: HCM Loader (HDL), HCM Extracts, HCM REST APIs, Atom FeedsExperience designing integrations and technical solutions within Oracle FusionStrong stakeholder engagement and workshop facilitation skillsStrong analytical and problem-solving capabilityExperience supporting testing, configuration and solution validation activitiesDesirable Skills for the Oracle Fusion HCM Techno-Functional Lead:Experience delivering Oracle Fusion transformation programmes within large enterprise environmentsExperience working closely with offshore or distributed delivery teamsExperience with Oracle PaaS extensions and broader Oracle Cloud technologiesStrong understanding of reporting governance and enterprise data managementIf you are an experienced Oracle Fusion HCM specialist looking to influence large-scale transformation programmes while combining functional and technical expertise, this role offers strong visibility, ownership and long-term impact.

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate