Data Delivery Lead London Hybrid Up to £100,000 + Bonus VIQU have partnered with a leading financial services organisation who are seeking a Data Delivery Lead with extensive insurance experience to manage multiple complex data programmes. You will be responsible for the end-to-end delivery of enterprise-scale data initiatives, including platforms, products, and capabilities. Working closely with senior stakeholders and cross-functional teams, you will ensure data solutions are delivered iteratively, reliably, and in line with business priorities, unlocking the full value of the organisation s data estate. Key Responsibilities of the Data Delivery Lead: Lead the delivery of multiple complex data programmes, ensuring alignment with strategic business and data objectives. Plan, oversee, and govern programme delivery, including scheduling, dependencies, risk management, and change control. Manage the incremental release of data capabilities across enterprise platforms. Identify, assess, and mitigate risks, interdependencies, and issues across multiple programmes. Act as the primary liaison for senior stakeholders across business, technical, and operational functions. Drive adoption of Agile delivery practices, embedding iterative and scalable approaches. Lead engagement and change management for new data capabilities, ensuring smooth transitions into operational use. Apply insurance domain expertise to ensure solutions comply with regulatory frameworks and risk management standards. Collaborate with data engineers, architects, and product managers to deliver coordinated, high-quality data outcomes. Key Requirements of the Data Delivery Lead: Proven experience managing the end-to-end delivery of multiple complex data programmes. Strong background in insurance or regulated financial services. Experience setting up or delivering enterprise data platforms. Hands-on knowledge of cloud platforms such as Azure and Databricks. Experience with analytics and BI tools such as Power BI. Familiarity with data management principles and tools such as Microsoft Purview or Ataccama. Excellent stakeholder management and communication skills at senior levels. Strong understanding of Agile delivery methodologies and programme governance. Apply now to speak with VIQU IT in confidence, or contact Katie Dark via the VIQU IT website. Do you know someone exceptional? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more opportunities, follow us on IT Recruitment. Data Delivery Lead London Hybrid Up to £100,000 + Bonus
May 27, 2026
Full time
Data Delivery Lead London Hybrid Up to £100,000 + Bonus VIQU have partnered with a leading financial services organisation who are seeking a Data Delivery Lead with extensive insurance experience to manage multiple complex data programmes. You will be responsible for the end-to-end delivery of enterprise-scale data initiatives, including platforms, products, and capabilities. Working closely with senior stakeholders and cross-functional teams, you will ensure data solutions are delivered iteratively, reliably, and in line with business priorities, unlocking the full value of the organisation s data estate. Key Responsibilities of the Data Delivery Lead: Lead the delivery of multiple complex data programmes, ensuring alignment with strategic business and data objectives. Plan, oversee, and govern programme delivery, including scheduling, dependencies, risk management, and change control. Manage the incremental release of data capabilities across enterprise platforms. Identify, assess, and mitigate risks, interdependencies, and issues across multiple programmes. Act as the primary liaison for senior stakeholders across business, technical, and operational functions. Drive adoption of Agile delivery practices, embedding iterative and scalable approaches. Lead engagement and change management for new data capabilities, ensuring smooth transitions into operational use. Apply insurance domain expertise to ensure solutions comply with regulatory frameworks and risk management standards. Collaborate with data engineers, architects, and product managers to deliver coordinated, high-quality data outcomes. Key Requirements of the Data Delivery Lead: Proven experience managing the end-to-end delivery of multiple complex data programmes. Strong background in insurance or regulated financial services. Experience setting up or delivering enterprise data platforms. Hands-on knowledge of cloud platforms such as Azure and Databricks. Experience with analytics and BI tools such as Power BI. Familiarity with data management principles and tools such as Microsoft Purview or Ataccama. Excellent stakeholder management and communication skills at senior levels. Strong understanding of Agile delivery methodologies and programme governance. Apply now to speak with VIQU IT in confidence, or contact Katie Dark via the VIQU IT website. Do you know someone exceptional? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more opportunities, follow us on IT Recruitment. Data Delivery Lead London Hybrid Up to £100,000 + Bonus
The Senior AI Software Engineer is a core technical role within the AI Lab. This person helps design and build the foundation that AI solutions are built on, bringing engineering depth, an eye for systems thinking, and a commitment to quality that raises the bar for the whole team. You will make an impact by: Contributing to system design and feasibility assessments for new AI initiatives, helping evaluate technical approaches, surface risks, and shape solution direction ahead of development. Helping maintain and evolve development and coding standards across the Lab, ensuring AI work produced by the firm is consistent, clean, and built to last. Implementing enterprise integration patterns that connect AI solutions to RSM's wider technology ecosystem in a secure and scalable way. Building and maintaining automation frameworks that improve the speed and reliability of development, testing, and deployment. Applying appropriate architectural patterns and scalability models when designing solutions, with an awareness of how choices made today affect maintainability tomorrow. Participating in technical reviews, offering constructive input on designs and code produced by peers and contributing to a culture of engineering rigour. Designing and developing AI solutions end-to-end across the Lab's core platforms - Copilot Studio, Azure AI Foundry, Intellixcore, and more - from initial design through to production delivery. Producing clear technical documentation, architectural diagrams, and reusable assets that help the wider team build confidently and consistently. Supporting junior engineers and graduates with day-to-day technical guidance, code review, and practical problem-solving. What we are looking for:The ideal candidate is a capable, hands-on engineer with a growing interest in how AI systems are designed and structured at scale - someone who takes quality seriously and brings considered thinking to every build. Key attributes include: Solid experience designing and delivering AI or data-driven solutions in a professional context, with involvement in architectural or system-level decisions. Working knowledge of enterprise AI platforms - ideally Copilot Studio, Azure AI Foundry, or Intellixcore - or equivalent cloud and AI tooling, with the ability to get up to speed quickly. A good grounding in software engineering principles, including system design, API and integration patterns, and security fundamentals. Solid programming skills, with practical experience in Python and SQL used in AI and data engineering contexts; comfortable working across both code-first and low-code platforms. Comfortable working within governance or compliance-aware environments, understanding the importance of building responsibly without losing momentum. Ability to produce technical documentation and diagrams that are accessible to both engineering colleagues and non-technical audiences. Strong communication and collaboration skills, with the confidence to raise technical concerns, contribute to design discussions, and support teammates effectively. What we can offer you:We recognise that our people are our most important assets. That's why we offer a flexible reward and benefits package that will help you have a fulfilling experience, both in and out of work. Hybrid and Flexible working 26 Days Holiday (with the option of purchasing additional days) Lifestyle, Health, and Wellbeing, including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team UNFORTUNATELY THIS ROLE DOES NOT SPONSOR Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
May 27, 2026
Full time
The Senior AI Software Engineer is a core technical role within the AI Lab. This person helps design and build the foundation that AI solutions are built on, bringing engineering depth, an eye for systems thinking, and a commitment to quality that raises the bar for the whole team. You will make an impact by: Contributing to system design and feasibility assessments for new AI initiatives, helping evaluate technical approaches, surface risks, and shape solution direction ahead of development. Helping maintain and evolve development and coding standards across the Lab, ensuring AI work produced by the firm is consistent, clean, and built to last. Implementing enterprise integration patterns that connect AI solutions to RSM's wider technology ecosystem in a secure and scalable way. Building and maintaining automation frameworks that improve the speed and reliability of development, testing, and deployment. Applying appropriate architectural patterns and scalability models when designing solutions, with an awareness of how choices made today affect maintainability tomorrow. Participating in technical reviews, offering constructive input on designs and code produced by peers and contributing to a culture of engineering rigour. Designing and developing AI solutions end-to-end across the Lab's core platforms - Copilot Studio, Azure AI Foundry, Intellixcore, and more - from initial design through to production delivery. Producing clear technical documentation, architectural diagrams, and reusable assets that help the wider team build confidently and consistently. Supporting junior engineers and graduates with day-to-day technical guidance, code review, and practical problem-solving. What we are looking for:The ideal candidate is a capable, hands-on engineer with a growing interest in how AI systems are designed and structured at scale - someone who takes quality seriously and brings considered thinking to every build. Key attributes include: Solid experience designing and delivering AI or data-driven solutions in a professional context, with involvement in architectural or system-level decisions. Working knowledge of enterprise AI platforms - ideally Copilot Studio, Azure AI Foundry, or Intellixcore - or equivalent cloud and AI tooling, with the ability to get up to speed quickly. A good grounding in software engineering principles, including system design, API and integration patterns, and security fundamentals. Solid programming skills, with practical experience in Python and SQL used in AI and data engineering contexts; comfortable working across both code-first and low-code platforms. Comfortable working within governance or compliance-aware environments, understanding the importance of building responsibly without losing momentum. Ability to produce technical documentation and diagrams that are accessible to both engineering colleagues and non-technical audiences. Strong communication and collaboration skills, with the confidence to raise technical concerns, contribute to design discussions, and support teammates effectively. What we can offer you:We recognise that our people are our most important assets. That's why we offer a flexible reward and benefits package that will help you have a fulfilling experience, both in and out of work. Hybrid and Flexible working 26 Days Holiday (with the option of purchasing additional days) Lifestyle, Health, and Wellbeing, including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team UNFORTUNATELY THIS ROLE DOES NOT SPONSOR Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Senior Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and looking to hire a Senior Software Engineer with experience of working on the development of cloud databases. The business processes large-scale market data and delivers historical datasets and analytics products to institutional clients globally. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities Design, analysis and implementation of features in the data distribution platform. Ensure system reliability by implementing company and industry best practices. Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications. Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing. Evaluate and adopt relevant technologies and tools Key Requirements Degree in computer science or other STEM degree plus relevant programming experience. 6+ years of experience in software engineering, with proficiency programming in Python on Linux. Experience working with AWS and Docker. Experience with Databricks and/or Snowflake Desired, but not essential: Experience with C/C++ or Java Knowledge of database optimisation and administration
May 27, 2026
Full time
Senior Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and looking to hire a Senior Software Engineer with experience of working on the development of cloud databases. The business processes large-scale market data and delivers historical datasets and analytics products to institutional clients globally. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities Design, analysis and implementation of features in the data distribution platform. Ensure system reliability by implementing company and industry best practices. Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications. Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing. Evaluate and adopt relevant technologies and tools Key Requirements Degree in computer science or other STEM degree plus relevant programming experience. 6+ years of experience in software engineering, with proficiency programming in Python on Linux. Experience working with AWS and Docker. Experience with Databricks and/or Snowflake Desired, but not essential: Experience with C/C++ or Java Knowledge of database optimisation and administration
Senior Software Engineer - TypeScript / Next.Js / SQL A growing technology-led business is rebuilding and modernising the core system including billing, invoicing, reconciliation, integrations, operational workflows, reporting, customer tooling, and internal platforms. These systems sit at the heart of the organisation and directly influence revenue, operational efficiency, customer trust, and commercial decision-making. This role is suited to someone who enjoys solving complex operational and data problems, and who takes ownership of outcomes rather than simply delivering tickets. Strong engineering judgement, systems thinking, and an appreciation for correctness are essential in an environment where mistakes can have meaningful downstream impact. AI-assisted development is already central to the engineering workflow. Tools such as Claude Code and Cursor are actively used day-to-day, and senior engineers are expected to use them confidently and pragmatically. What You ll Be Responsible For Designing and evolving business-critical systems across operations, finance, integrations, and customer workflows Leading technical investigations into workflows, operational issues, integrations, and data discrepancies Partnering closely with finance, operations, support, engineering teams, and customers to solve complex business problems Leading technical and operational discussions with customers over calls and video meetings Building systems that are accurate, auditable, explainable, scalable, and maintainable Driving improvements in reliability, observability, documentation, and engineering standards Using AI-assisted development tools to accelerate delivery while maintaining engineering quality and judgement Helping shape technical direction, architecture, and long-term platform decisions What They re Looking For Essential Strong TypeScript experience across frontend and backend systems Deep experience with Next.js, NestJS, and modern backend architecture Strong SQL and data modelling skills, ideally PostgreSQL Experience building and maintaining business-critical systems where correctness, auditability, and operational reliability matter Strong understanding of distributed systems, data flows, reconciliation logic, and failure handling Comfortable working through operational exceptions, edge cases, and complex integrations Excellent communication skills with both technical and non-technical stakeholders Highly Desirable Go experience, particularly in backend systems, infrastructure, concurrency-heavy workloads, or performance-sensitive services Experience in logistics, shipping, or supply chain operations Background in billing, invoicing, payments, finance, audit, or compliance-heavy environments Familiarity with cloud infrastructure, APIs, and data-heavy integrations Hands-on experience with AI tooling such as Claude Code or Cursor as part of daily engineering workflows Salary & Benefits Up to £75,000 depending on experience 25 days holiday + bank holidays Flexible working arrangements - 3 days office / 2 days remote Opportunity to shape systems critical to business operations Interested? Please Click Apply Now! Senior Software Engineer - TypeScript / Next.Js / SQL
May 27, 2026
Full time
Senior Software Engineer - TypeScript / Next.Js / SQL A growing technology-led business is rebuilding and modernising the core system including billing, invoicing, reconciliation, integrations, operational workflows, reporting, customer tooling, and internal platforms. These systems sit at the heart of the organisation and directly influence revenue, operational efficiency, customer trust, and commercial decision-making. This role is suited to someone who enjoys solving complex operational and data problems, and who takes ownership of outcomes rather than simply delivering tickets. Strong engineering judgement, systems thinking, and an appreciation for correctness are essential in an environment where mistakes can have meaningful downstream impact. AI-assisted development is already central to the engineering workflow. Tools such as Claude Code and Cursor are actively used day-to-day, and senior engineers are expected to use them confidently and pragmatically. What You ll Be Responsible For Designing and evolving business-critical systems across operations, finance, integrations, and customer workflows Leading technical investigations into workflows, operational issues, integrations, and data discrepancies Partnering closely with finance, operations, support, engineering teams, and customers to solve complex business problems Leading technical and operational discussions with customers over calls and video meetings Building systems that are accurate, auditable, explainable, scalable, and maintainable Driving improvements in reliability, observability, documentation, and engineering standards Using AI-assisted development tools to accelerate delivery while maintaining engineering quality and judgement Helping shape technical direction, architecture, and long-term platform decisions What They re Looking For Essential Strong TypeScript experience across frontend and backend systems Deep experience with Next.js, NestJS, and modern backend architecture Strong SQL and data modelling skills, ideally PostgreSQL Experience building and maintaining business-critical systems where correctness, auditability, and operational reliability matter Strong understanding of distributed systems, data flows, reconciliation logic, and failure handling Comfortable working through operational exceptions, edge cases, and complex integrations Excellent communication skills with both technical and non-technical stakeholders Highly Desirable Go experience, particularly in backend systems, infrastructure, concurrency-heavy workloads, or performance-sensitive services Experience in logistics, shipping, or supply chain operations Background in billing, invoicing, payments, finance, audit, or compliance-heavy environments Familiarity with cloud infrastructure, APIs, and data-heavy integrations Hands-on experience with AI tooling such as Claude Code or Cursor as part of daily engineering workflows Salary & Benefits Up to £75,000 depending on experience 25 days holiday + bank holidays Flexible working arrangements - 3 days office / 2 days remote Opportunity to shape systems critical to business operations Interested? Please Click Apply Now! Senior Software Engineer - TypeScript / Next.Js / SQL
Solus Accident Repair Centres
Birchanger, Hertfordshire
Overview Hybrid with 2 days in our Stansted office. We are looking for an expert to lead the way in the innovation of the data analysis tools, automation and infrastructure within our Microsoft technology stack for our Award-Winning Accident Repair Network. Our mission is to develop the tools and technology that enable our teams to get our customers back to normal and we are often looking to cutting edge solutions to achieve this. The candidate will be reporting into our Platform Manager and working with our Systems Architect and Product Team to not only lead in the development of automation and Power Platform solutions for our business but also to support our bespoke award-winning IT system; as such this role is fundamental to our growth and success. Responsibilities As a Senior Azure Cloud Engineer, you will support and enable the Microsoft Technology Stack through IT Change, troubleshoot IT Problems, following ITIL v4 guidelines in this cutting edge and highly secure environment. You will support our technical environment, which includes Microsoft technologies, Meraki networking, SaaS solutions (including our own bespoke workshop management system) with much of the access managed by Single Sign-on (SSO). You will be passionate about technology and understand business systems and solutions. Work with the Systems Architect to design, implement, and maintain solutions within our Microsoft Technical Stack. Work with stakeholders to devise improvements to their teams' processes with Power Platforms and automation. Assist with IT Change and Problem Management following ITIL v4 guidelines, using advanced troubleshooting and problem-solving skills and working closely with internal colleagues and external suppliers in resolving issues promptly. Support IT governance, ensuring security best practises and disaster recovery plans are followed and raise concerns, risks and cyber incidents to the IT leadership team. Maintain detailed documentation for system configuration, procedures and troubleshooting and work with the Helpdesk team to remove blockers to resolve incidents and process service requests. Provide guidance and support to the wider IT team on infrastructure design and build and provide information regarding system/device performance and error logs. Must be able to commute to the Stansted office as this role is hybrid 2 days a week in the office. Be innovative in exploring new technologies that can help develop skills and competencies in the business and for individuals. What do I need to know? Cloud Platform Engineering Be able to design, implement and maintain Azure infrastructure across compute, storage, networking, and identity services. Be able to manage and maintain secure, scalable, and highly available cloud platforms aligned to the Azure Well-Architected Framework. Know how to implement and maintain Azure landing zones, subscriptions, and management groups. Security, Governance & Resilience Ensure platforms comply with security, compliance, and governance standards (e.g. RBAC, Key Vault, network security, logging). Apply best practices for cost control, monitoring, and operational resilience. Be able to support DR, backup, and business continuity designs across Azure workloads. Collaboration & Architecture Work closely with solution architect, product team, and security teams to align cloud solutions with business needs. Provide input into Technical Design Authority, Change Steering Groups, architecture reviews, and project delivery. Produce and maintain clear technical documentation. Qualifications Strong hands-on experience with Microsoft Azure, including: Azure Virtual Networks, VMs, Storage, Azure AD. PaaS services (App Services, Functions, Logic Apps, SQL, etc.). Monitoring and logging (Azure Monitor, Log Analytics). Scripting skills using PowerShell, Azure CLI, Bash, or Python. Good understanding of networking, security, and identity in cloud environments. Minimum three years' experience in a similar role. Experience of working within the ITIL v4 or 5 frameworks. Relevant Apprenticeship or higher education. Any of the following qualifications would be advantageous: Microsoft Azure Administrator Associate AZ-104 Microsoft Azure Developer Associate AZ-204 Microsoft Azure Network Engineer Associate AZ-700 Microsoft Azure Solutions Architect Expert AZ-305 Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
May 27, 2026
Full time
Overview Hybrid with 2 days in our Stansted office. We are looking for an expert to lead the way in the innovation of the data analysis tools, automation and infrastructure within our Microsoft technology stack for our Award-Winning Accident Repair Network. Our mission is to develop the tools and technology that enable our teams to get our customers back to normal and we are often looking to cutting edge solutions to achieve this. The candidate will be reporting into our Platform Manager and working with our Systems Architect and Product Team to not only lead in the development of automation and Power Platform solutions for our business but also to support our bespoke award-winning IT system; as such this role is fundamental to our growth and success. Responsibilities As a Senior Azure Cloud Engineer, you will support and enable the Microsoft Technology Stack through IT Change, troubleshoot IT Problems, following ITIL v4 guidelines in this cutting edge and highly secure environment. You will support our technical environment, which includes Microsoft technologies, Meraki networking, SaaS solutions (including our own bespoke workshop management system) with much of the access managed by Single Sign-on (SSO). You will be passionate about technology and understand business systems and solutions. Work with the Systems Architect to design, implement, and maintain solutions within our Microsoft Technical Stack. Work with stakeholders to devise improvements to their teams' processes with Power Platforms and automation. Assist with IT Change and Problem Management following ITIL v4 guidelines, using advanced troubleshooting and problem-solving skills and working closely with internal colleagues and external suppliers in resolving issues promptly. Support IT governance, ensuring security best practises and disaster recovery plans are followed and raise concerns, risks and cyber incidents to the IT leadership team. Maintain detailed documentation for system configuration, procedures and troubleshooting and work with the Helpdesk team to remove blockers to resolve incidents and process service requests. Provide guidance and support to the wider IT team on infrastructure design and build and provide information regarding system/device performance and error logs. Must be able to commute to the Stansted office as this role is hybrid 2 days a week in the office. Be innovative in exploring new technologies that can help develop skills and competencies in the business and for individuals. What do I need to know? Cloud Platform Engineering Be able to design, implement and maintain Azure infrastructure across compute, storage, networking, and identity services. Be able to manage and maintain secure, scalable, and highly available cloud platforms aligned to the Azure Well-Architected Framework. Know how to implement and maintain Azure landing zones, subscriptions, and management groups. Security, Governance & Resilience Ensure platforms comply with security, compliance, and governance standards (e.g. RBAC, Key Vault, network security, logging). Apply best practices for cost control, monitoring, and operational resilience. Be able to support DR, backup, and business continuity designs across Azure workloads. Collaboration & Architecture Work closely with solution architect, product team, and security teams to align cloud solutions with business needs. Provide input into Technical Design Authority, Change Steering Groups, architecture reviews, and project delivery. Produce and maintain clear technical documentation. Qualifications Strong hands-on experience with Microsoft Azure, including: Azure Virtual Networks, VMs, Storage, Azure AD. PaaS services (App Services, Functions, Logic Apps, SQL, etc.). Monitoring and logging (Azure Monitor, Log Analytics). Scripting skills using PowerShell, Azure CLI, Bash, or Python. Good understanding of networking, security, and identity in cloud environments. Minimum three years' experience in a similar role. Experience of working within the ITIL v4 or 5 frameworks. Relevant Apprenticeship or higher education. Any of the following qualifications would be advantageous: Microsoft Azure Administrator Associate AZ-104 Microsoft Azure Developer Associate AZ-204 Microsoft Azure Network Engineer Associate AZ-700 Microsoft Azure Solutions Architect Expert AZ-305 Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
Location: London (3 days in office, per week) Length: 6 months Determination Status: Inside I535 Start Date: June 8th (ideally) I'm looking to speak with London-based Senior Data Engineers with plenty of experience building pipelines and data warehouses to support in the end-to-end delivery of an enterprise data platform for a (re)insurance business. Tech Stack: Strong skills in DBT & Snowflake AWS Cloud Native Skills Familar with CI/CD Power BI / Tableau Nice to have: Matillion / SNP / Glue / Fivetran NoSQl (Cosmos / DynamoDB experience) Reinsurance domain knowlege or relevant Lloyd's & London Insurance experience. Please apply now, and reach out to Adam Akhtar at Opus for futher information.
May 27, 2026
Contractor
Location: London (3 days in office, per week) Length: 6 months Determination Status: Inside I535 Start Date: June 8th (ideally) I'm looking to speak with London-based Senior Data Engineers with plenty of experience building pipelines and data warehouses to support in the end-to-end delivery of an enterprise data platform for a (re)insurance business. Tech Stack: Strong skills in DBT & Snowflake AWS Cloud Native Skills Familar with CI/CD Power BI / Tableau Nice to have: Matillion / SNP / Glue / Fivetran NoSQl (Cosmos / DynamoDB experience) Reinsurance domain knowlege or relevant Lloyd's & London Insurance experience. Please apply now, and reach out to Adam Akhtar at Opus for futher information.
Senior Automation Test Engineer Contract - Rate (D.o.E) Sheffield - Hybrid (up to 3 days in office) Role Summary We are looking for a highly skilled Automation Test engineer with expertise in Identity and Access management (IAM) back-end validation. Skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on testing secure, scalable identity and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications. Using an automation first approach, you will collaborate closely with tech leads, Cloud Security, DevOps, and Application Engineering teams to thoroughly test robust IAM, identity lifecycle workflows, and secure service integrations that support enterprise-level cloud and Identity operations. Key Responsibilities Build and maintain an automated test framework and suites for API, event, and graph-based services (Python/PyTest). Define and execute test plans/cases/data aligned to requirements and technical specs; maintain FR/NFR traceability. Validate IAM concepts and access models (RBAC/ABAC/ReBAC/PBAC) and test decision points "as code" (policy-as-code). Perform API automation, contract testing, and replay/reprocessing scenarios. Validate graph data (nodes/relationships/hop logic) and event lineage/change behaviour. Experience in Neo4J is preferred. Produce regulatory evidence as required; support entry/exit criteria and test governance activities. Create/manage Jenkins pipelines to manage tests executions and reporting as part of CI/CD. Log, track, and drive defects through triage to closure (JIRA/ Zephyr); communicate progress to stakeholders. Collaborate with Cloud Security, DevOps, and Engineering teams; contribute to improving testability and quality. Skills required Deep IAM domain knowledge Solid experience of at least 3 years in a senior automation role, skilled in creating frameworks with strong coding experience e.g Java, Playwright, Python, Typescript, Cypher, Scala and API tooling (such as Insomnia, Apidog or Postman) Graph and event-driven validation Automation-first test experience Layered test architecture Risk-based test prioritisation RBAC / ABAC / ReBAC / PBAC OPA / Rego policy testing Policy explainability validation REST API automation, API Gateway testing, Batch ETL testing Consumer-driven contract testing Replay and reprocessing testing Graph data validation (Neo4j) Containerised test execution Cloud testing approaches and methodology, especially GCP, but also AWS, Azure, Entra, Ali Cloud and other systems such as ServiceNow, AD, ADLDS Some knowledge of JMeter, Gatling, LoadRunner, NeoLoad or similar tools for load, stress, and volume testing including any licensing requirements, configuration, dashboards and reporting Experience of testing graph database management systems (GDBMS) Graph platform engineering, Neo4j Basics GDBMS Performance Analysis Testing functions and decision points "As Code", such as Policy as code Extensive experience using JIRA and Xephyr tooling Good experience of executing defined test plans including coordination, tracking and reporting Positive team player working as part of the overall test team, Any exposure to SailPoint IdentityIQ, Identity warehousing, and working with protocols and formats for data ingestion such as SCIM, REST API, LDAP, OIDC and CSV DevOps & CI/CD Integration - Experience of GitOps Repos. Ability to integrate automation tests into GitLab CI/CD pipelines and implement shift-left testing practices Pub Sub and MQ
May 27, 2026
Contractor
Senior Automation Test Engineer Contract - Rate (D.o.E) Sheffield - Hybrid (up to 3 days in office) Role Summary We are looking for a highly skilled Automation Test engineer with expertise in Identity and Access management (IAM) back-end validation. Skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on testing secure, scalable identity and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications. Using an automation first approach, you will collaborate closely with tech leads, Cloud Security, DevOps, and Application Engineering teams to thoroughly test robust IAM, identity lifecycle workflows, and secure service integrations that support enterprise-level cloud and Identity operations. Key Responsibilities Build and maintain an automated test framework and suites for API, event, and graph-based services (Python/PyTest). Define and execute test plans/cases/data aligned to requirements and technical specs; maintain FR/NFR traceability. Validate IAM concepts and access models (RBAC/ABAC/ReBAC/PBAC) and test decision points "as code" (policy-as-code). Perform API automation, contract testing, and replay/reprocessing scenarios. Validate graph data (nodes/relationships/hop logic) and event lineage/change behaviour. Experience in Neo4J is preferred. Produce regulatory evidence as required; support entry/exit criteria and test governance activities. Create/manage Jenkins pipelines to manage tests executions and reporting as part of CI/CD. Log, track, and drive defects through triage to closure (JIRA/ Zephyr); communicate progress to stakeholders. Collaborate with Cloud Security, DevOps, and Engineering teams; contribute to improving testability and quality. Skills required Deep IAM domain knowledge Solid experience of at least 3 years in a senior automation role, skilled in creating frameworks with strong coding experience e.g Java, Playwright, Python, Typescript, Cypher, Scala and API tooling (such as Insomnia, Apidog or Postman) Graph and event-driven validation Automation-first test experience Layered test architecture Risk-based test prioritisation RBAC / ABAC / ReBAC / PBAC OPA / Rego policy testing Policy explainability validation REST API automation, API Gateway testing, Batch ETL testing Consumer-driven contract testing Replay and reprocessing testing Graph data validation (Neo4j) Containerised test execution Cloud testing approaches and methodology, especially GCP, but also AWS, Azure, Entra, Ali Cloud and other systems such as ServiceNow, AD, ADLDS Some knowledge of JMeter, Gatling, LoadRunner, NeoLoad or similar tools for load, stress, and volume testing including any licensing requirements, configuration, dashboards and reporting Experience of testing graph database management systems (GDBMS) Graph platform engineering, Neo4j Basics GDBMS Performance Analysis Testing functions and decision points "As Code", such as Policy as code Extensive experience using JIRA and Xephyr tooling Good experience of executing defined test plans including coordination, tracking and reporting Positive team player working as part of the overall test team, Any exposure to SailPoint IdentityIQ, Identity warehousing, and working with protocols and formats for data ingestion such as SCIM, REST API, LDAP, OIDC and CSV DevOps & CI/CD Integration - Experience of GitOps Repos. Ability to integrate automation tests into GitLab CI/CD pipelines and implement shift-left testing practices Pub Sub and MQ
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
May 27, 2026
Full time
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The AMOS Platform Manager (AMOS) is accountable for the end-to-end product management of the AMOS maintenance platform within the Operations domain, ensuring it delivers measurable business value, operational stability, and strategic alignment across the Group. Operating as part of the Architecture & Product Delivery teams, the role owns the product vision, roadmap, backlog prioritisation, and value realisation for AMOS, working closely with architecture, engineering, operations, and business stakeholders. The Product Manager ensures AMOS is managed as a strategic operational product, balancing regulatory compliance, operational reliability, and continuous improvement while aligning with enterprise architecture standards and transformation objectives. Your responsibilities Product Ownership & Strategy Own and evolve the AMOS product vision and roadmap, aligned to operational priorities, architecture direction, and Group strategy. Translate operational needs into clear product outcomes, ensuring AMOS supports standardised, scalable maintenance processes across OpCos. Act as the single point of accountability for AMOS product decisions within Architecture & Product Delivery. Backlog & Value Management Define, maintain, and prioritise the AMOS product backlog, balancing regulatory, operational, technical, and transformation demands. Ensure backlog items are clearly defined with measurable outcomes and acceptance criteria. Track and report on value, benefits, and KPIs, ensuring delivery aligns to agreed objectives and funding expectations. Architecture & Delivery Alignment Work closely with Enterprise, Solution, and Data Architects to ensure AMOS changes align with architectural standards and target-state designs. Collaborate with delivery teams to support agile and incremental delivery, participating in planning, reviews, and retrospectives. Ensure dependencies across platforms, integrations, and data are actively managed. Operations & Stakeholder Engagement Act as the primary interface between Operations, Maintenance teams, IT delivery, and architecture. Engage senior operational stakeholders to validate priorities, manage expectations, and ensure adoption of delivered capabilities. Represent AMOS in governance, planning, and prioritisation forums within Architecture & Product Delivery. Run & Change Balance Work closely with Operations and Service Management to ensure service stability, performance, and compliance. Prioritise change requests alongside live-service needs, ensuring minimal disruption to critical maintenance operations. Support continuous improvement initiatives and operational optimisation enabled by AMOS. Your skills, experience and qualifications Essential Strong experience in AMOS Cloud Platform Management Strong understanding of product lifecycle management, backlog prioritisation, and value-driven delivery. Experience working with complex operational systems in regulated environments. Proven ability to work across architecture, delivery, and business stakeholders. Strong communication, influencing, and decision-making skills. Desirable Exposure to aviation, asset-intensive, or safety-critical operations. Familiarity with enterprise architecture governance and platform-led delivery models. Experience working in SAFe or agile product environments. Operates as part of a product-led, architecture-aligned delivery model. Balances strategic roadmap ownership with hands-on engagement in delivery and operations. Focuses on outcomes and value, not just feature delivery What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
May 27, 2026
Full time
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The AMOS Platform Manager (AMOS) is accountable for the end-to-end product management of the AMOS maintenance platform within the Operations domain, ensuring it delivers measurable business value, operational stability, and strategic alignment across the Group. Operating as part of the Architecture & Product Delivery teams, the role owns the product vision, roadmap, backlog prioritisation, and value realisation for AMOS, working closely with architecture, engineering, operations, and business stakeholders. The Product Manager ensures AMOS is managed as a strategic operational product, balancing regulatory compliance, operational reliability, and continuous improvement while aligning with enterprise architecture standards and transformation objectives. Your responsibilities Product Ownership & Strategy Own and evolve the AMOS product vision and roadmap, aligned to operational priorities, architecture direction, and Group strategy. Translate operational needs into clear product outcomes, ensuring AMOS supports standardised, scalable maintenance processes across OpCos. Act as the single point of accountability for AMOS product decisions within Architecture & Product Delivery. Backlog & Value Management Define, maintain, and prioritise the AMOS product backlog, balancing regulatory, operational, technical, and transformation demands. Ensure backlog items are clearly defined with measurable outcomes and acceptance criteria. Track and report on value, benefits, and KPIs, ensuring delivery aligns to agreed objectives and funding expectations. Architecture & Delivery Alignment Work closely with Enterprise, Solution, and Data Architects to ensure AMOS changes align with architectural standards and target-state designs. Collaborate with delivery teams to support agile and incremental delivery, participating in planning, reviews, and retrospectives. Ensure dependencies across platforms, integrations, and data are actively managed. Operations & Stakeholder Engagement Act as the primary interface between Operations, Maintenance teams, IT delivery, and architecture. Engage senior operational stakeholders to validate priorities, manage expectations, and ensure adoption of delivered capabilities. Represent AMOS in governance, planning, and prioritisation forums within Architecture & Product Delivery. Run & Change Balance Work closely with Operations and Service Management to ensure service stability, performance, and compliance. Prioritise change requests alongside live-service needs, ensuring minimal disruption to critical maintenance operations. Support continuous improvement initiatives and operational optimisation enabled by AMOS. Your skills, experience and qualifications Essential Strong experience in AMOS Cloud Platform Management Strong understanding of product lifecycle management, backlog prioritisation, and value-driven delivery. Experience working with complex operational systems in regulated environments. Proven ability to work across architecture, delivery, and business stakeholders. Strong communication, influencing, and decision-making skills. Desirable Exposure to aviation, asset-intensive, or safety-critical operations. Familiarity with enterprise architecture governance and platform-led delivery models. Experience working in SAFe or agile product environments. Operates as part of a product-led, architecture-aligned delivery model. Balances strategic roadmap ownership with hands-on engagement in delivery and operations. Focuses on outcomes and value, not just feature delivery What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
This is an exciting new opportunity to shape the future of technology and digital capability across five South West charities. We are seeking an exceptional Regional Chief Technology Officer who is motivated by both challenge and purpose; someone who can harness technology to make a tangible difference to how our faith-based charities support church communities. Working across Bath & Wells, Bristol, Exeter, Salisbury and Truro, this role offers a rare platform to influence at scale. The successful candidate will lead a region-wide programme of digital transformation and process optimisation, helping modernise systems, strengthen cyber resilience and unlock efficiencies that release resources for mission and ministry. This is not technology for its own sake. We are looking for someone who combines strategic insight with practical delivery; a leader who can translate complex technical possibilities into real-world improvements for staff, clergy and volunteers. You will play a key role in shaping the responsible adoption of emerging technologies, including AI, while ensuring strong governance, security and compliance. Please note that, whilst the role will be primarily home-based, the post-holder will be required to travel regularly across the Southwest region, with an onsite presence in each organisation at least once per month. Responsibilities Strategic Leadership: Develop, articulate, and implement a shared digital transformation and technology strategy that is directly aligned with the overarching mission and strategic goals of the five dioceses. Act as the principal technology advisor to the Diocesan Secretaries and their senior leadership teams. Process Mapping & Optimisation: Lead a comprehensive, collaborative review of key administrative and operational processes within the Diocesan Boards of Finance (DBFs) and in parishes where appropriate. Use process mapping techniques to identify inefficiencies, bottlenecks, and areas for improvement, and then design and implement optimised workflows. AI & Responsible Innovation: Actively research, evaluate, pilot, and implement appropriate AI and automation tools to enhance efficiency, support fundraising, and improve service delivery. Ensure all innovation is undertaken responsibly, ethically, and with a clear focus on tangible benefits. Stakeholder Management & Engagement: Build and maintain strong, collaborative relationships with a diverse range of stakeholders across all five dioceses, including clergy, staff, and volunteers. Foster a culture of digital literacy and champion the benefits of change in a clear, accessible, and empathetic manner. Project & Change Management: Oversee the full lifecycle of technology and process improvement projects, from initial conception and business case development through to delivery, user training, and final handover. Employ robust project management methodologies to ensure projects are delivered on time and within budget. Qualifications, Training & Experience: Proven and extensive senior technology leadership experience (e.g., CTO, Head of IT, Director of Digital Transformation) with clear evidence of strategic impact. Relevant degree (or equivalent) in a technology-related discipline, with appropriate professional certifications in technology, architecture, project or change management, and membership of a relevant professional body. Strong track record in business process mapping, analysis and re-engineering delivering measurable efficiency gains. Practical experience evaluating, procuring and implementing modern technology solutions, including cloud platforms (e.g., Microsoft 365), CRM systems and data analytics tools. Experience in the charity, non-profit or similarly complex, values-driven sector is highly desirable. Demonstrable experience of, or well-informed and practical interest in, the responsible and ethical application of AI and automation in an organisational context. Significant experience in technology strategy, budget management, vendor negotiation and delivery of complex, multi-stakeholder programmes. Competencies & Behavioural requirements: Exceptional communicator and translator: Able to convey complex technical concepts in clear, accessible language and influence a wide range of non-technical stakeholders with confidence. Strategic yet pragmatic thinker: Sees the big picture and aligns technology with organisational priorities, while remaining hands-on and focused on practical, value adding solutions. Collaborative and emotionally intelligent leader: Builds trust and consensus across diverse stakeholders and cultures, leading change with empathy, credibility and sensitivity. Resilient and delivery-focused: Proactive and self-motivated, with the drive and discipline to deliver complex, multi-year programmes and achieve measurable outcomes. Culturally astute and values-aware: Demonstrates understanding of, and respect for, the Church of England s context, governance and ethos, navigating the environment with diplomacy and good judgement. Our benefits include : Generous company pension A comprehensive health & wellbeing programme, inlcuding an Employee Assistance Programme Paid volunteering & study leave allowace Company events Home working
May 27, 2026
Full time
This is an exciting new opportunity to shape the future of technology and digital capability across five South West charities. We are seeking an exceptional Regional Chief Technology Officer who is motivated by both challenge and purpose; someone who can harness technology to make a tangible difference to how our faith-based charities support church communities. Working across Bath & Wells, Bristol, Exeter, Salisbury and Truro, this role offers a rare platform to influence at scale. The successful candidate will lead a region-wide programme of digital transformation and process optimisation, helping modernise systems, strengthen cyber resilience and unlock efficiencies that release resources for mission and ministry. This is not technology for its own sake. We are looking for someone who combines strategic insight with practical delivery; a leader who can translate complex technical possibilities into real-world improvements for staff, clergy and volunteers. You will play a key role in shaping the responsible adoption of emerging technologies, including AI, while ensuring strong governance, security and compliance. Please note that, whilst the role will be primarily home-based, the post-holder will be required to travel regularly across the Southwest region, with an onsite presence in each organisation at least once per month. Responsibilities Strategic Leadership: Develop, articulate, and implement a shared digital transformation and technology strategy that is directly aligned with the overarching mission and strategic goals of the five dioceses. Act as the principal technology advisor to the Diocesan Secretaries and their senior leadership teams. Process Mapping & Optimisation: Lead a comprehensive, collaborative review of key administrative and operational processes within the Diocesan Boards of Finance (DBFs) and in parishes where appropriate. Use process mapping techniques to identify inefficiencies, bottlenecks, and areas for improvement, and then design and implement optimised workflows. AI & Responsible Innovation: Actively research, evaluate, pilot, and implement appropriate AI and automation tools to enhance efficiency, support fundraising, and improve service delivery. Ensure all innovation is undertaken responsibly, ethically, and with a clear focus on tangible benefits. Stakeholder Management & Engagement: Build and maintain strong, collaborative relationships with a diverse range of stakeholders across all five dioceses, including clergy, staff, and volunteers. Foster a culture of digital literacy and champion the benefits of change in a clear, accessible, and empathetic manner. Project & Change Management: Oversee the full lifecycle of technology and process improvement projects, from initial conception and business case development through to delivery, user training, and final handover. Employ robust project management methodologies to ensure projects are delivered on time and within budget. Qualifications, Training & Experience: Proven and extensive senior technology leadership experience (e.g., CTO, Head of IT, Director of Digital Transformation) with clear evidence of strategic impact. Relevant degree (or equivalent) in a technology-related discipline, with appropriate professional certifications in technology, architecture, project or change management, and membership of a relevant professional body. Strong track record in business process mapping, analysis and re-engineering delivering measurable efficiency gains. Practical experience evaluating, procuring and implementing modern technology solutions, including cloud platforms (e.g., Microsoft 365), CRM systems and data analytics tools. Experience in the charity, non-profit or similarly complex, values-driven sector is highly desirable. Demonstrable experience of, or well-informed and practical interest in, the responsible and ethical application of AI and automation in an organisational context. Significant experience in technology strategy, budget management, vendor negotiation and delivery of complex, multi-stakeholder programmes. Competencies & Behavioural requirements: Exceptional communicator and translator: Able to convey complex technical concepts in clear, accessible language and influence a wide range of non-technical stakeholders with confidence. Strategic yet pragmatic thinker: Sees the big picture and aligns technology with organisational priorities, while remaining hands-on and focused on practical, value adding solutions. Collaborative and emotionally intelligent leader: Builds trust and consensus across diverse stakeholders and cultures, leading change with empathy, credibility and sensitivity. Resilient and delivery-focused: Proactive and self-motivated, with the drive and discipline to deliver complex, multi-year programmes and achieve measurable outcomes. Culturally astute and values-aware: Demonstrates understanding of, and respect for, the Church of England s context, governance and ethos, navigating the environment with diplomacy and good judgement. Our benefits include : Generous company pension A comprehensive health & wellbeing programme, inlcuding an Employee Assistance Programme Paid volunteering & study leave allowace Company events Home working
Senior Platform Engineer, AWS £90k + bonus + equity + benefits, Remote (UK) Our scale-up digital marketplace client is looking for a hands-on Senior Platform Engineer to join a growing team, working directly with the Head of Platforms to build and scale a modern AWS environment. This is a great opportunity for someone who enjoys owning infrastructure, solving real engineering problems, and working across the full platform life cycle in a lean, high-impact environment. The role Building and operating AWS infrastructure Leading cloud migrations and platform improvements Writing Infrastructure as Code (Terraform, Pulumi, or OpenTofu) Improving monitoring & observability (Datadog) Developing CI/CD pipelines (GitHub, CircleCI) Supporting engineers with deployments and new services What we're looking for Strong Platform Engineering experience Deep AWS knowledge Infrastructure as Code expertise Python Scripting skills CI/CD experience (GitHub, CircleCI) Comfortable working in a fast-moving, evolving environment Nice to have Background in Back End/software engineering Experience in scaling organisations Location: Remote (UK-based, quarterly meetups) Sound like you? Please get in touch.
May 27, 2026
Full time
Senior Platform Engineer, AWS £90k + bonus + equity + benefits, Remote (UK) Our scale-up digital marketplace client is looking for a hands-on Senior Platform Engineer to join a growing team, working directly with the Head of Platforms to build and scale a modern AWS environment. This is a great opportunity for someone who enjoys owning infrastructure, solving real engineering problems, and working across the full platform life cycle in a lean, high-impact environment. The role Building and operating AWS infrastructure Leading cloud migrations and platform improvements Writing Infrastructure as Code (Terraform, Pulumi, or OpenTofu) Improving monitoring & observability (Datadog) Developing CI/CD pipelines (GitHub, CircleCI) Supporting engineers with deployments and new services What we're looking for Strong Platform Engineering experience Deep AWS knowledge Infrastructure as Code expertise Python Scripting skills CI/CD experience (GitHub, CircleCI) Comfortable working in a fast-moving, evolving environment Nice to have Background in Back End/software engineering Experience in scaling organisations Location: Remote (UK-based, quarterly meetups) Sound like you? Please get in touch.
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior Data Engineer Overview A senior, hands-on data engineering role within a growing data and analytics team undergoing platform modernisation. The role combines deep technical delivery with strong stakeholder engagement, feature ownership, and mentorship responsibilities. Key Responsibilities Own complex end-to-end ETL pipelines using Python and SQL Design and develop data solutions across a cloud- click apply for full job details
May 27, 2026
Full time
Senior Data Engineer Overview A senior, hands-on data engineering role within a growing data and analytics team undergoing platform modernisation. The role combines deep technical delivery with strong stakeholder engagement, feature ownership, and mentorship responsibilities. Key Responsibilities Own complex end-to-end ETL pipelines using Python and SQL Design and develop data solutions across a cloud- click apply for full job details
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
May 27, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Our award winning Client is a national independently owned building services consultancy delivering high-quality mechanical, electrical and public health (MEP) design solutions across sectors including commercial, residential, healthcare, education and mixed-use developments. The Leeds office plays a key role in delivering technically robust and innovative engineering solutions for projects across the UK. Role Overview The company is looking to hire an experienced BIM Manager to lead and develop BIM strategies across the Leeds office. This is a senior leadership role responsible for overseeing BIM standards, digital workflows, information management, and coordination processes across all projects. The successful candidate will drive best practice in accordance with ISO 19650, support project teams in achieving high-quality digital outputs, and contribute to the wider digital strategy of the business. Key Responsibilities: Strategic & Leadership Lead BIM strategy and digital delivery within the Leeds office. Develop, implement, and maintain office BIM standards and protocols. Ensure compliance with ISO 19650 and project-specific BIM Execution Plans (BEPs). Act as the primary BIM lead for clients and external consultants. Contribute to company-wide digital strategy and innovation initiatives. Project Delivery Oversee BIM implementation across multiple MEP projects. Provide technical guidance on model setup, coordination, and information management. Review federated models and ensure coordination standards are met. Support clash detection processes and multidisciplinary collaboration. Monitor model quality, data integrity, and compliance with company standards. Technical & Systems Management Manage and maintain BIM templates, libraries, and shared parameters. Oversee Common Data Environment (CDE) platforms such as Autodesk Construction Cloud / BIM 360 or Viewpoint. Support development of automation tools (e.g. Dynamo) where appropriate. Drive efficiency improvements through digital workflows and standardisation. Team Development Mentor and develop BIM Coordinators and Technicians. Deliver internal BIM training and upskilling initiatives. Support recruitment and onboarding of digital delivery staff. Promote a culture of collaboration and continuous improvement. Key Requirements: Essential Significant experience in a BIM Manager or Senior BIM leadership role within a building services consultancy. Advanced proficiency in Revit MEP, Navisworks and AutoCAD. Strong working knowledge of ISO 19650, UK BIM Framework and Information management processes. Experience managing CDE platforms. Proven ability to implement and manage BIM standards across multiple projects. Strong leadership, communication, and stakeholder management skills. Understanding of UK building regulations and MEP coordination requirements. Desirable: Experience working across healthcare, commercial, or large-scale residential sectors. Knowledge of 4D/5D BIM processes. Experience with Dynamo or other automation tools. Degree in Building Services Engineering, Digital Construction, or related discipline.
May 27, 2026
Full time
Our award winning Client is a national independently owned building services consultancy delivering high-quality mechanical, electrical and public health (MEP) design solutions across sectors including commercial, residential, healthcare, education and mixed-use developments. The Leeds office plays a key role in delivering technically robust and innovative engineering solutions for projects across the UK. Role Overview The company is looking to hire an experienced BIM Manager to lead and develop BIM strategies across the Leeds office. This is a senior leadership role responsible for overseeing BIM standards, digital workflows, information management, and coordination processes across all projects. The successful candidate will drive best practice in accordance with ISO 19650, support project teams in achieving high-quality digital outputs, and contribute to the wider digital strategy of the business. Key Responsibilities: Strategic & Leadership Lead BIM strategy and digital delivery within the Leeds office. Develop, implement, and maintain office BIM standards and protocols. Ensure compliance with ISO 19650 and project-specific BIM Execution Plans (BEPs). Act as the primary BIM lead for clients and external consultants. Contribute to company-wide digital strategy and innovation initiatives. Project Delivery Oversee BIM implementation across multiple MEP projects. Provide technical guidance on model setup, coordination, and information management. Review federated models and ensure coordination standards are met. Support clash detection processes and multidisciplinary collaboration. Monitor model quality, data integrity, and compliance with company standards. Technical & Systems Management Manage and maintain BIM templates, libraries, and shared parameters. Oversee Common Data Environment (CDE) platforms such as Autodesk Construction Cloud / BIM 360 or Viewpoint. Support development of automation tools (e.g. Dynamo) where appropriate. Drive efficiency improvements through digital workflows and standardisation. Team Development Mentor and develop BIM Coordinators and Technicians. Deliver internal BIM training and upskilling initiatives. Support recruitment and onboarding of digital delivery staff. Promote a culture of collaboration and continuous improvement. Key Requirements: Essential Significant experience in a BIM Manager or Senior BIM leadership role within a building services consultancy. Advanced proficiency in Revit MEP, Navisworks and AutoCAD. Strong working knowledge of ISO 19650, UK BIM Framework and Information management processes. Experience managing CDE platforms. Proven ability to implement and manage BIM standards across multiple projects. Strong leadership, communication, and stakeholder management skills. Understanding of UK building regulations and MEP coordination requirements. Desirable: Experience working across healthcare, commercial, or large-scale residential sectors. Knowledge of 4D/5D BIM processes. Experience with Dynamo or other automation tools. Degree in Building Services Engineering, Digital Construction, or related discipline.
Data Engineer Location: Manchester Working: Remote Salary: Up to 80k Are you a Data Engineer who enjoys solving complex technical challenges while helping others grow? We're looking for a Senior Data Engineer to play a key role in shaping and delivering scalable, reliable, and high-performing data solutions that power decision-making across the business. This is an opportunity to combine deep technical expertise with leadership, working at the heart of a growing data function where your ideas, experience, and technical judgement will have a genuine impact. You'll be responsible for designing and building robust data pipelines, data models, and warehouse solutions while collaborating closely with analytics, product, and platform teams. You'll also act as a mentor to other engineers, helping to establish best practices, improve engineering standards, and drive a culture of quality and continuous improvement. This role is ideal for someone who enjoys remaining hands-on while taking ownership of larger initiatives, influencing technical direction, and helping teams deliver complex projects successfully. What you'll be doing You'll design and maintain scalable data models and semantic layers, build reliable batch and streaming data pipelines, and ensure data is accurate, trusted, and readily available for business users. You'll lead the delivery of complex data engineering projects, working across multiple teams to solve challenging problems and improve the performance, reliability, and cost efficiency of our data platforms. Working with modern cloud technologies, you'll help optimise warehouse and lakehouse environments, improve data governance and security, and establish engineering standards that enable the team to scale effectively. You'll also play an important role in mentoring colleagues through code reviews, technical coaching, and knowledge sharing, helping to raise capability across the wider engineering team. What we're looking for You'll bring strong experience in modern data engineering practices, including data modelling, ETL/ELT development, orchestration frameworks, cloud-based data platforms, and data quality management. You will be comfortable working with technologies such as dbt, Airflow, PostgreSQL, cloud warehouses or lakehouses, and modern data architecture patterns. Most importantly, you'll be someone who enjoys ownership, takes pride in building reliable solutions, and can balance technical excellence with practical delivery. You'll be a strong communicator who can work effectively with both technical and non-technical stakeholders and help translate business requirements into scalable data solutions. Why join us? This is an opportunity to join a collaborative environment where data is central to business success. You'll have the autonomy to solve meaningful problems, influence engineering standards, work with modern technologies, and help shape the future of the data platform while continuing to develop your own technical and leadership skills. If you're looking for a role where you can combine hands-on engineering with technical leadership and make a measurable impact, we'd love to hear from you.
May 27, 2026
Full time
Data Engineer Location: Manchester Working: Remote Salary: Up to 80k Are you a Data Engineer who enjoys solving complex technical challenges while helping others grow? We're looking for a Senior Data Engineer to play a key role in shaping and delivering scalable, reliable, and high-performing data solutions that power decision-making across the business. This is an opportunity to combine deep technical expertise with leadership, working at the heart of a growing data function where your ideas, experience, and technical judgement will have a genuine impact. You'll be responsible for designing and building robust data pipelines, data models, and warehouse solutions while collaborating closely with analytics, product, and platform teams. You'll also act as a mentor to other engineers, helping to establish best practices, improve engineering standards, and drive a culture of quality and continuous improvement. This role is ideal for someone who enjoys remaining hands-on while taking ownership of larger initiatives, influencing technical direction, and helping teams deliver complex projects successfully. What you'll be doing You'll design and maintain scalable data models and semantic layers, build reliable batch and streaming data pipelines, and ensure data is accurate, trusted, and readily available for business users. You'll lead the delivery of complex data engineering projects, working across multiple teams to solve challenging problems and improve the performance, reliability, and cost efficiency of our data platforms. Working with modern cloud technologies, you'll help optimise warehouse and lakehouse environments, improve data governance and security, and establish engineering standards that enable the team to scale effectively. You'll also play an important role in mentoring colleagues through code reviews, technical coaching, and knowledge sharing, helping to raise capability across the wider engineering team. What we're looking for You'll bring strong experience in modern data engineering practices, including data modelling, ETL/ELT development, orchestration frameworks, cloud-based data platforms, and data quality management. You will be comfortable working with technologies such as dbt, Airflow, PostgreSQL, cloud warehouses or lakehouses, and modern data architecture patterns. Most importantly, you'll be someone who enjoys ownership, takes pride in building reliable solutions, and can balance technical excellence with practical delivery. You'll be a strong communicator who can work effectively with both technical and non-technical stakeholders and help translate business requirements into scalable data solutions. Why join us? This is an opportunity to join a collaborative environment where data is central to business success. You'll have the autonomy to solve meaningful problems, influence engineering standards, work with modern technologies, and help shape the future of the data platform while continuing to develop your own technical and leadership skills. If you're looking for a role where you can combine hands-on engineering with technical leadership and make a measurable impact, we'd love to hear from you.
Senior Bioinformatics Developer - Synthetic Biology We are searching for a senior bioinformatics developer for our biology-based tech client in Cambridge. This is a newly created role with plenty of opportunity to grow and earn more responsibilities as the company expands. You will be developing complex bioinformatic algorithms that categorise huge amounts of data that is being produced by the company's latest product. The company's product is at the intersection of science and engineering which means it will be a truly multidisciplinary team of fellow scientists and engineers, all working together on this ground-breaking product. You will be utilising your software skills to design and develop sequencing tools and algorithms which will integrate with lab systems and support tools, as well as searching for and validating open source bioinformatics tools. You will also build an understanding of user lab processes and workflows and help develop cloud-based workflows to support the biology and chemistry research teams. This is a great opportunity to join a company and make a real difference with your knowledge and experience, leading bioinformatics projects from day one. We are looking for senior scientists who have developed code in Python coupled with experience in the bioinformatics field. This will be complemented by an engineering or science related degree and experience with cloud computing. Any prior knowledge of experimental NGS data would be advantageous to your application, as would hands-on knowledge of Bash. The client is offering competitive salaries as well as a comprehensive benefits package that includes share options and a variety of other benefits. For more information, please call Matthew Lowdon of Newton Colmore Consulting on (phone number removed) or make an application and one of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices and biotechnology field. We help our clients find the expert engineers and scientists they need to develop and commercialise ground-breaking technologies. Key words: Data Scientist, Machine Learning, Bioinformatics, Medical Devices, Engineering, Physics, ISO 13485, Biotechnology
May 26, 2026
Full time
Senior Bioinformatics Developer - Synthetic Biology We are searching for a senior bioinformatics developer for our biology-based tech client in Cambridge. This is a newly created role with plenty of opportunity to grow and earn more responsibilities as the company expands. You will be developing complex bioinformatic algorithms that categorise huge amounts of data that is being produced by the company's latest product. The company's product is at the intersection of science and engineering which means it will be a truly multidisciplinary team of fellow scientists and engineers, all working together on this ground-breaking product. You will be utilising your software skills to design and develop sequencing tools and algorithms which will integrate with lab systems and support tools, as well as searching for and validating open source bioinformatics tools. You will also build an understanding of user lab processes and workflows and help develop cloud-based workflows to support the biology and chemistry research teams. This is a great opportunity to join a company and make a real difference with your knowledge and experience, leading bioinformatics projects from day one. We are looking for senior scientists who have developed code in Python coupled with experience in the bioinformatics field. This will be complemented by an engineering or science related degree and experience with cloud computing. Any prior knowledge of experimental NGS data would be advantageous to your application, as would hands-on knowledge of Bash. The client is offering competitive salaries as well as a comprehensive benefits package that includes share options and a variety of other benefits. For more information, please call Matthew Lowdon of Newton Colmore Consulting on (phone number removed) or make an application and one of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices and biotechnology field. We help our clients find the expert engineers and scientists they need to develop and commercialise ground-breaking technologies. Key words: Data Scientist, Machine Learning, Bioinformatics, Medical Devices, Engineering, Physics, ISO 13485, Biotechnology
