Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Senior Data Engineer Location: Solihull - Hybrid Contract: 3 months with possible extension. Rate: 550 - 650 inside umbrella Purpose Design, build and assure scalable, secure data products and pipelines across Azure, AWS and Databricks. Lead data integration design, technical decisions and best practices, while mentoring engineers and enabling high-quality analytics, BI and data science outcomes. Reporting & Collaboration Reports to Lead Data Engineer with oversight from Head of Data Operations & Engineering Works across Data Science, Analytics, Architecture, Cyber, Product and Delivery teams Acts as a senior technical lead, guiding engineers and influencing cross-team decisions Key Responsibilities Lead design and delivery of scalable batch & streaming data pipelines and products Define and assure enterprise-aligned data integration architectures Optimise cloud platforms (Azure, AWS, Databricks) for performance and cost Build and own ETL/ELT pipelines using PySpark, SQL and orchestration frameworks Automate and modernise legacy data processes with reusable patterns Design robust data models (Delta Lake, schema evolution, metadata, lineage) Ensure data security, governance, and compliance (access control, encryption, lifecycle) Provide technical leadership, mentoring and design reviews Collaborate with stakeholders to translate complex technical decisions clearly Support strategic roadmap, tooling and continuous improvement initiatives Core Skills & Expertise Data Engineering Advanced PySpark and SQL, performance tuning and best practice coding Data modelling (conceptual, logical, physical) and integration design Data quality, testing frameworks and automated validation Strong data analysis, profiling and insight delivery Cloud & Platforms Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda, EMR, Lake Formation Databricks: Delta Lake, Unity Catalog, Structured Streaming, MLflow SQL Server stack (SSIS, SSRS) Engineering Practices CI/CD for data platforms and Infrastructure-as-Code (Terraform/Bicep) Git, monitoring and alerting tools Data governance, lineage and observability frameworks Leading technical design assurance and reviews Qualifications & Experience Degree (or equivalent) in Computer Science or related field Experience in enterprise-scale data engineering Relevant certifications (Azure, AWS, Databricks) desirable Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
25/06/2026
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Senior Data Engineer Location: Solihull - Hybrid Contract: 3 months with possible extension. Rate: 550 - 650 inside umbrella Purpose Design, build and assure scalable, secure data products and pipelines across Azure, AWS and Databricks. Lead data integration design, technical decisions and best practices, while mentoring engineers and enabling high-quality analytics, BI and data science outcomes. Reporting & Collaboration Reports to Lead Data Engineer with oversight from Head of Data Operations & Engineering Works across Data Science, Analytics, Architecture, Cyber, Product and Delivery teams Acts as a senior technical lead, guiding engineers and influencing cross-team decisions Key Responsibilities Lead design and delivery of scalable batch & streaming data pipelines and products Define and assure enterprise-aligned data integration architectures Optimise cloud platforms (Azure, AWS, Databricks) for performance and cost Build and own ETL/ELT pipelines using PySpark, SQL and orchestration frameworks Automate and modernise legacy data processes with reusable patterns Design robust data models (Delta Lake, schema evolution, metadata, lineage) Ensure data security, governance, and compliance (access control, encryption, lifecycle) Provide technical leadership, mentoring and design reviews Collaborate with stakeholders to translate complex technical decisions clearly Support strategic roadmap, tooling and continuous improvement initiatives Core Skills & Expertise Data Engineering Advanced PySpark and SQL, performance tuning and best practice coding Data modelling (conceptual, logical, physical) and integration design Data quality, testing frameworks and automated validation Strong data analysis, profiling and insight delivery Cloud & Platforms Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda, EMR, Lake Formation Databricks: Delta Lake, Unity Catalog, Structured Streaming, MLflow SQL Server stack (SSIS, SSRS) Engineering Practices CI/CD for data platforms and Infrastructure-as-Code (Terraform/Bicep) Git, monitoring and alerting tools Data governance, lineage and observability frameworks Leading technical design assurance and reviews Qualifications & Experience Degree (or equivalent) in Computer Science or related field Experience in enterprise-scale data engineering Relevant certifications (Azure, AWS, Databricks) desirable Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
SENIOR SOFTWARE ENGINEER - eDV CLEARED NEW PERMANENT JOB OPPORTUNITY AVAILABLE WITHIN A GLOBALLY LEADING NATIONAL SECURITY COMPANY FOR A SENIOR SOFTWARE ENGINEER WITH eDV CLEARANCE Permanent job opportunity for a Senior Software Engineer Globally leading defence / cyber security company Salary up to £100,000 plus clearance bonus London based organisation in an easily accessible location Permanent Software Engineer To apply please call / or email WHO WE ARE? We are recruiting Senior and Lead Software Engineers to work with a multi-national, industry leading National Security client in central London. Due to the nature of the work you must hold enhanced DV Security Clearance. WHAT WILL THE SENIOR SOFTWARE ENGINEER BE DOING? As a Senior Software Engineer, you will work with an experienced agile team to design and deliver packages of bespoke work, work development teams and liaise with customers. You will work through the entire software development life cycle from requirements capture to R&D, implementation to automation. WE NEED THE SENIOR SOFTWARE ENGINEER TO HAVE . Current enhanced DV clearance Experience with at least one or more of the following: Java, Python, C++, .NET, C#, JavaScript, React Experience mentoring juniors or leading a team Experience / Knowledge of automation IT WOULD BE NICE FOR THE SENIOR SOFTWARE ENGINEER TO HAVE . Cloud based experience Microservice architecture or server-less architecture Big Data / Messaging technologies such as Apache Nifi / MiNiFi / Kafka TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on . I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable please leave a message and either myself or one of my colleagues will respond. By applying for this role you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. SENIOR SOFTWARE ENGINEER - DV CLEARED KEY SKILLS: SENIOR SOFTWARE ENGINEER / SENIOR SOFTWARE DEVELOPER LEAD SOFTWARE ENGINEER / JAVA DEVELOPER / JAVA ENGINEER / LEAD SOFTWARE DEVELOPER / SENIOR SOFTWARE DEVELOPER / DV CLEARED / DV CLEARANCE / DEVELOPPED VETTING / DEVELOPED VETTED / DEEP VETTING / DEEP VETTED / SC CLEARED / SC CLEARANCE / SECURITY CLEARED / SECURITY CLEARANCE
25/06/2026
Full time
SENIOR SOFTWARE ENGINEER - eDV CLEARED NEW PERMANENT JOB OPPORTUNITY AVAILABLE WITHIN A GLOBALLY LEADING NATIONAL SECURITY COMPANY FOR A SENIOR SOFTWARE ENGINEER WITH eDV CLEARANCE Permanent job opportunity for a Senior Software Engineer Globally leading defence / cyber security company Salary up to £100,000 plus clearance bonus London based organisation in an easily accessible location Permanent Software Engineer To apply please call / or email WHO WE ARE? We are recruiting Senior and Lead Software Engineers to work with a multi-national, industry leading National Security client in central London. Due to the nature of the work you must hold enhanced DV Security Clearance. WHAT WILL THE SENIOR SOFTWARE ENGINEER BE DOING? As a Senior Software Engineer, you will work with an experienced agile team to design and deliver packages of bespoke work, work development teams and liaise with customers. You will work through the entire software development life cycle from requirements capture to R&D, implementation to automation. WE NEED THE SENIOR SOFTWARE ENGINEER TO HAVE . Current enhanced DV clearance Experience with at least one or more of the following: Java, Python, C++, .NET, C#, JavaScript, React Experience mentoring juniors or leading a team Experience / Knowledge of automation IT WOULD BE NICE FOR THE SENIOR SOFTWARE ENGINEER TO HAVE . Cloud based experience Microservice architecture or server-less architecture Big Data / Messaging technologies such as Apache Nifi / MiNiFi / Kafka TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on . I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable please leave a message and either myself or one of my colleagues will respond. By applying for this role you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. SENIOR SOFTWARE ENGINEER - DV CLEARED KEY SKILLS: SENIOR SOFTWARE ENGINEER / SENIOR SOFTWARE DEVELOPER LEAD SOFTWARE ENGINEER / JAVA DEVELOPER / JAVA ENGINEER / LEAD SOFTWARE DEVELOPER / SENIOR SOFTWARE DEVELOPER / DV CLEARED / DV CLEARANCE / DEVELOPPED VETTING / DEVELOPED VETTED / DEEP VETTING / DEEP VETTED / SC CLEARED / SC CLEARANCE / SECURITY CLEARED / SECURITY CLEARANCE
EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED
Manchester, Lancashire
Role Summary We are seeking an experienced Enterprise Architect Onsite Lead to drive a strategic Agentic IVR transformation program for a leading banking client on GCP. This role combines deep architectural expertise with strong customer relationship management, acting as a trusted advisor to senior business and technology stakeholders. Key Responsibilities Serve as the primary onsite liaison for banking stakeholders, building strong, trust-based relationships across business, operations, and IT. Lead Agentic IVR architecture design using GCP (CXAS, Dialogflow CX, ADK, Vertex AI, Apigee) for banking use cases such as customer servicing, fraud checks, payments, and loan inquiries. Translate business goals into secure, compliant, and scalable AI-driven conversational solutions. Drive CX transformation and automation strategy aligned with regulatory requirements. Ensure seamless integration with core banking systems, and CCaaS platforms. Establish governance, compliance, and AI guardrails (data privacy, auditability, explainability). Oversee delivery teams ensuring quality, performance, and resilience. Key Skills Strong banking domain expertise (retail, lending, payments, contact center) Expertise in Conversational AI / IVR and GCP architecture Knowledge of Agentic AI, RAG, and API-led integrations Exceptional stakeholder engagement and influencing skills Experience 1218+ years in enterprise architecture / solution design Proven experience in onsite client-facing roles in banking programs Hands-on delivery of IVR / Contact Center / Conversational AI transformations Experience with large-scale digital transformation in regulated environments Track record of engaging executive stakeholders and driving CX initiatives Preferred Qualifications Experience working with Tier-1 banks or financial institutions Strong understanding of banking regulations (e.g., data privacy, PCI-DSS, GDPR equivalents) Exposure to CCaaS platforms (Google CXAS/CES, Genesys, NICE, Amazon Connect) Experience in multi-agent orchestration / agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow CX or equivalent) TOGAF / Enterprise Architecture certifications JBRP1_UKTJ
25/06/2026
Full time
Role Summary We are seeking an experienced Enterprise Architect Onsite Lead to drive a strategic Agentic IVR transformation program for a leading banking client on GCP. This role combines deep architectural expertise with strong customer relationship management, acting as a trusted advisor to senior business and technology stakeholders. Key Responsibilities Serve as the primary onsite liaison for banking stakeholders, building strong, trust-based relationships across business, operations, and IT. Lead Agentic IVR architecture design using GCP (CXAS, Dialogflow CX, ADK, Vertex AI, Apigee) for banking use cases such as customer servicing, fraud checks, payments, and loan inquiries. Translate business goals into secure, compliant, and scalable AI-driven conversational solutions. Drive CX transformation and automation strategy aligned with regulatory requirements. Ensure seamless integration with core banking systems, and CCaaS platforms. Establish governance, compliance, and AI guardrails (data privacy, auditability, explainability). Oversee delivery teams ensuring quality, performance, and resilience. Key Skills Strong banking domain expertise (retail, lending, payments, contact center) Expertise in Conversational AI / IVR and GCP architecture Knowledge of Agentic AI, RAG, and API-led integrations Exceptional stakeholder engagement and influencing skills Experience 1218+ years in enterprise architecture / solution design Proven experience in onsite client-facing roles in banking programs Hands-on delivery of IVR / Contact Center / Conversational AI transformations Experience with large-scale digital transformation in regulated environments Track record of engaging executive stakeholders and driving CX initiatives Preferred Qualifications Experience working with Tier-1 banks or financial institutions Strong understanding of banking regulations (e.g., data privacy, PCI-DSS, GDPR equivalents) Exposure to CCaaS platforms (Google CXAS/CES, Genesys, NICE, Amazon Connect) Experience in multi-agent orchestration / agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow CX or equivalent) TOGAF / Enterprise Architecture certifications JBRP1_UKTJ
Principal Software Engineer (Go / AdTech) Location: West Midlands (Hybrid) Salary: Competitive + Bonus + Equity Options Type: Full-time, Permanent Build the Future of eCommerce GrowthWe're partnering with a rapidly scaling SaaS technology company transforming how eCommerce brands acquire, engage and retain customers. Following significant growth and investment, we're looking for a Principal Software Engineer to help shape the next generation of our advertising and marketing technology platform. This is a strategic technical leadership role where you'll influence architecture, mentor engineering teams, and drive the development of high-scale systems processing significant advertising and customer data volumes across multiple digital channels. If you've built AdTech platforms, worked with advertising APIs, and enjoy solving complex distributed systems challenges, we'd love to speak with you. The RoleAs a Principal Engineer, you'll provide technical leadership across multiple engineering teams while remaining hands-on with architecture and critical development initiatives. You'll play a key role in evolving a platform that integrates deeply with major advertising ecosystems, helping merchants optimise campaign performance and maximise customer acquisition ROI. Key Responsibilities Lead the architecture and design of highly scalable cloud-native systems. Drive technical strategy and engineering best practices across the organisation. Build and optimise backend services using Go. Design and develop integrations with major advertising platforms and APIs. Collaborate with Product, Data, and Commercial teams to deliver innovative AdTech capabilities. Mentor senior engineers and contribute to engineering leadership. Champion performance, reliability, security, and observability across the platform. Influence technology decisions and long-term platform evolution. What We're Looking ForEssential Experience Significant experience in a Principal, Staff, Lead, or Senior Software Engineering role. Strong commercial experience with Go (Golang) . Experience building and scaling distributed SaaS platforms. Strong cloud experience, ideally with Google Cloud Platform (GCP) . Experience working within AdTech, MarTech, Performance Marketing, or Digital Advertising environments. Hands-on experience integrating with advertising platforms and APIs. Advertising Platform ExperienceWe're particularly interested in candidates with experience of: Google Ads (highly desirable) Microsoft Advertising / Bing Ads (highly desirable) Meta (Facebook & Instagram Ads) TikTok Ads Other paid media and programmatic advertising platforms Additional Skills Experience with React and modern frontend development. Event-driven and microservices architectures. Data-intensive systems and analytics platforms. CI/CD, Infrastructure as Code, and modern engineering practices. Strong stakeholder management and technical communication skills. Nice to Have Experience within eCommerce technology platforms. Exposure to customer acquisition, attribution, campaign optimisation, or marketing analytics products. Experience operating at hyper-growth scale. Previous involvement in platform modernisation or large-scale technical transformation initiatives. Why Join? Join a genuine high-growth SaaS success story. Work on technically challenging products at significant scale. Influence business-critical architecture and technology decisions. Collaborative, engineering-led culture. Competitive salary, bonus, and equity opportunity. Flexible hybrid working in the West Midlands. If you're passionate about building world-class AdTech platforms and want to play a pivotal role in a scaling technology business, we'd love to hear from you. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
25/06/2026
Full time
Principal Software Engineer (Go / AdTech) Location: West Midlands (Hybrid) Salary: Competitive + Bonus + Equity Options Type: Full-time, Permanent Build the Future of eCommerce GrowthWe're partnering with a rapidly scaling SaaS technology company transforming how eCommerce brands acquire, engage and retain customers. Following significant growth and investment, we're looking for a Principal Software Engineer to help shape the next generation of our advertising and marketing technology platform. This is a strategic technical leadership role where you'll influence architecture, mentor engineering teams, and drive the development of high-scale systems processing significant advertising and customer data volumes across multiple digital channels. If you've built AdTech platforms, worked with advertising APIs, and enjoy solving complex distributed systems challenges, we'd love to speak with you. The RoleAs a Principal Engineer, you'll provide technical leadership across multiple engineering teams while remaining hands-on with architecture and critical development initiatives. You'll play a key role in evolving a platform that integrates deeply with major advertising ecosystems, helping merchants optimise campaign performance and maximise customer acquisition ROI. Key Responsibilities Lead the architecture and design of highly scalable cloud-native systems. Drive technical strategy and engineering best practices across the organisation. Build and optimise backend services using Go. Design and develop integrations with major advertising platforms and APIs. Collaborate with Product, Data, and Commercial teams to deliver innovative AdTech capabilities. Mentor senior engineers and contribute to engineering leadership. Champion performance, reliability, security, and observability across the platform. Influence technology decisions and long-term platform evolution. What We're Looking ForEssential Experience Significant experience in a Principal, Staff, Lead, or Senior Software Engineering role. Strong commercial experience with Go (Golang) . Experience building and scaling distributed SaaS platforms. Strong cloud experience, ideally with Google Cloud Platform (GCP) . Experience working within AdTech, MarTech, Performance Marketing, or Digital Advertising environments. Hands-on experience integrating with advertising platforms and APIs. Advertising Platform ExperienceWe're particularly interested in candidates with experience of: Google Ads (highly desirable) Microsoft Advertising / Bing Ads (highly desirable) Meta (Facebook & Instagram Ads) TikTok Ads Other paid media and programmatic advertising platforms Additional Skills Experience with React and modern frontend development. Event-driven and microservices architectures. Data-intensive systems and analytics platforms. CI/CD, Infrastructure as Code, and modern engineering practices. Strong stakeholder management and technical communication skills. Nice to Have Experience within eCommerce technology platforms. Exposure to customer acquisition, attribution, campaign optimisation, or marketing analytics products. Experience operating at hyper-growth scale. Previous involvement in platform modernisation or large-scale technical transformation initiatives. Why Join? Join a genuine high-growth SaaS success story. Work on technically challenging products at significant scale. Influence business-critical architecture and technology decisions. Collaborative, engineering-led culture. Competitive salary, bonus, and equity opportunity. Flexible hybrid working in the West Midlands. If you're passionate about building world-class AdTech platforms and want to play a pivotal role in a scaling technology business, we'd love to hear from you. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
Senior IT Security Engineer SOC Engineer Southend on Sea, Essex £70,000 + benefits Full-Time Permanent Hybrid Are you an experienced SOC Engineer looking to play a key role in a small infrastructure team? We're working with a well-established, technology-led organisation who are investing in their cyber capability and looking for an IT Security / SOC Engineer to play a key role in protecting their systems, infrastructure, and data. This is a hands-on position where you'll contribute to threat detection, incident response, and continuous security improvement across the business. What You'll Be Doing Monitoring and analysing security events (SIEM, endpoints, networks) Investigating incidents, performing root cause analysis and remediation Identifying vulnerabilities and driving proactive security improvements Acting as the go-to escalation point for security issues Supporting compliance with security standards and best practice Working closely with IT and wider teams to embed security across systems What We're Looking For Experience in a cybersecurity / IT security role Strong knowledge of security tools (SIEM (Sentinel), EDR/XDR, firewalls, IDS) Experience working in a SOC/NOC or similar environment Good understanding of security frameworks (ISO 27001, NIST, GDPR etc.) Ability to investigate threats and respond to incidents effectively Bonus points for: Security certifications (Security+, CEH, CISM, CISA) Scripting/automation experience (e.g. PowerShell) What's On Offer Flexitime + early Friday finish 24 days holiday + bank holidays Pension (6-7%), life assurance & sick pay Free parking, onsite café & gym access If you're looking for a role where you can influence strategy and make a real impact, this is well worth a conversation. Security Clearance is required for this role - applicants need to be eligible for UK Security clearance. Hit apply to upload your CV or contact Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
25/06/2026
Full time
Senior IT Security Engineer SOC Engineer Southend on Sea, Essex £70,000 + benefits Full-Time Permanent Hybrid Are you an experienced SOC Engineer looking to play a key role in a small infrastructure team? We're working with a well-established, technology-led organisation who are investing in their cyber capability and looking for an IT Security / SOC Engineer to play a key role in protecting their systems, infrastructure, and data. This is a hands-on position where you'll contribute to threat detection, incident response, and continuous security improvement across the business. What You'll Be Doing Monitoring and analysing security events (SIEM, endpoints, networks) Investigating incidents, performing root cause analysis and remediation Identifying vulnerabilities and driving proactive security improvements Acting as the go-to escalation point for security issues Supporting compliance with security standards and best practice Working closely with IT and wider teams to embed security across systems What We're Looking For Experience in a cybersecurity / IT security role Strong knowledge of security tools (SIEM (Sentinel), EDR/XDR, firewalls, IDS) Experience working in a SOC/NOC or similar environment Good understanding of security frameworks (ISO 27001, NIST, GDPR etc.) Ability to investigate threats and respond to incidents effectively Bonus points for: Security certifications (Security+, CEH, CISM, CISA) Scripting/automation experience (e.g. PowerShell) What's On Offer Flexitime + early Friday finish 24 days holiday + bank holidays Pension (6-7%), life assurance & sick pay Free parking, onsite café & gym access If you're looking for a role where you can influence strategy and make a real impact, this is well worth a conversation. Security Clearance is required for this role - applicants need to be eligible for UK Security clearance. Hit apply to upload your CV or contact Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Lead Business Analyst (Finance Technology) Location: Leicester Area (Hybrid) Salary: From 59,418 + Excellent Corporate Benefits Contract: Permanent, Full-time The Opportunity Are you a backend-focused, finance-savvy Business Analyst who thrives on bridging the gap between numbers and engineering? We are a recruiting for a leading multinational retail company , and we are looking for a Lead Business Analyst to join their Finance Technology team . To hit the ground running, they require someone who comes directly from a retail corporate background or possesses highly similar fast-paced consumer sector experience. This isn't a customer-facing or UX/UI role-this is a heavy-duty, backend position where you will sit squarely between their Finance and Software Engineering teams, ensuring their financial ecosystem and payment tracking infrastructure run flawlessly. What You'll Do Translate & Bridge: Turn complex financial processes ( R2R, Accounts Payable, Procurement ) into crisp, technical requirements for software engineers. Own the Agile Process: Lead ceremonies, manage backlogs in Azure DevOps , and write flawless User Stories using standard syntax and GHERKIN criteria. Data & Integrity: Use SQL and Excel to extract data, model alternative solutions, and ensure bulletproof system integrity (security, auditing, and logging). Mentor & Lead: Guide and upskill fellow BAs and Product Owners within the team, fostering a high-performing Agile community of practice. What We Are Looking For Industry Experience: A strong corporate background within a retail company or an identical fast-paced, high-volume consumer environment. Domain Expertise: Deep technical knowledge of backend financial systems, specifically Record to Report (R2R) , Accounts Payable, and payment recording. Technical Chops: Advanced SQL skills for heavy data extraction, modelling, and trend analysis. Methodology: Practical expertise in Agile , backlog management (Azure DevOps preferred), and technical documentation. This is an urgent opportunity where Hiring Manager is looking to schedule interviews asap. If interested then please apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
25/06/2026
Full time
Lead Business Analyst (Finance Technology) Location: Leicester Area (Hybrid) Salary: From 59,418 + Excellent Corporate Benefits Contract: Permanent, Full-time The Opportunity Are you a backend-focused, finance-savvy Business Analyst who thrives on bridging the gap between numbers and engineering? We are a recruiting for a leading multinational retail company , and we are looking for a Lead Business Analyst to join their Finance Technology team . To hit the ground running, they require someone who comes directly from a retail corporate background or possesses highly similar fast-paced consumer sector experience. This isn't a customer-facing or UX/UI role-this is a heavy-duty, backend position where you will sit squarely between their Finance and Software Engineering teams, ensuring their financial ecosystem and payment tracking infrastructure run flawlessly. What You'll Do Translate & Bridge: Turn complex financial processes ( R2R, Accounts Payable, Procurement ) into crisp, technical requirements for software engineers. Own the Agile Process: Lead ceremonies, manage backlogs in Azure DevOps , and write flawless User Stories using standard syntax and GHERKIN criteria. Data & Integrity: Use SQL and Excel to extract data, model alternative solutions, and ensure bulletproof system integrity (security, auditing, and logging). Mentor & Lead: Guide and upskill fellow BAs and Product Owners within the team, fostering a high-performing Agile community of practice. What We Are Looking For Industry Experience: A strong corporate background within a retail company or an identical fast-paced, high-volume consumer environment. Domain Expertise: Deep technical knowledge of backend financial systems, specifically Record to Report (R2R) , Accounts Payable, and payment recording. Technical Chops: Advanced SQL skills for heavy data extraction, modelling, and trend analysis. Methodology: Practical expertise in Agile , backlog management (Azure DevOps preferred), and technical documentation. This is an urgent opportunity where Hiring Manager is looking to schedule interviews asap. If interested then please apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
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
25/06/2026
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
Exposure Data Analyst / Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation? I'm working with a highly regarded London Market insurer seeking an experienced Exposure Data Analyst / Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics and catastrophe risk management within a business where exposure analytics plays a central role in strategic decision-making. The Role Working closely with the Exposure Analytics Manager and wider Exposure Management team, you'll help develop innovative tools and analytical solutions that track, analyse and manage catastrophe exposure across the portfolio. This role offers significant exposure to modern technologies, automation initiatives, geospatial datasets, AI-driven solutions and advanced risk analytics, making it ideal for someone who enjoys solving complex problems and building scalable data solutions. Key Responsibilities Develop and enhance analytical tools used to monitor natural catastrophe exposure across the business. Build automated data pipelines and reporting processes to improve efficiency and reduce manual workloads. Support the production of portfolio analytics and catastrophe exposure forecasts. Create and maintain dashboards and visualisation tools using platforms such as Power BI and Databricks. Work with research and underwriting teams to develop proprietary risk scoring datasets and portfolio insights. Develop Python and SQL solutions that improve catastrophe pricing and exposure management processes. Translate catastrophe model outputs into business-critical reporting used for capital modelling and portfolio management. Support data enrichment initiatives and explore emerging technologies, including AI-powered solutions. Collaborate with underwriters, actuaries and senior stakeholders to deliver meaningful exposure insights. What We're Looking For Experience working within the insurance market in a data-focused analytical role. Exposure to Property insurance, catastrophe modelling or exposure management would be highly advantageous. Strong programming skills, particularly Python and SQL. Experience working with large datasets and process automation. Knowledge of catastrophe modelling platforms such as RMS or Verisk would be beneficial. Understanding of geospatial data, GIS tools or spatial analytics is desirable. Experience working with APIs, dashboarding tools and modern analytics platforms. Strong analytical and problem-solving skills with the ability to communicate complex findings clearly. A proactive, self-motivated approach and desire to improve processes through technology. Why Apply? Join a business where exposure analytics is a key strategic function. Work on innovative projects involving catastrophe risk, automation, geospatial analytics and AI. Gain exposure to senior stakeholders and underwriting teams across the organisation. Be part of a collaborative, technically strong team environment. Excellent opportunity to develop both your technical and commercial expertise within the London Market. For a confidential discussion and further information, please get in touch.
25/06/2026
Full time
Exposure Data Analyst / Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation? I'm working with a highly regarded London Market insurer seeking an experienced Exposure Data Analyst / Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics and catastrophe risk management within a business where exposure analytics plays a central role in strategic decision-making. The Role Working closely with the Exposure Analytics Manager and wider Exposure Management team, you'll help develop innovative tools and analytical solutions that track, analyse and manage catastrophe exposure across the portfolio. This role offers significant exposure to modern technologies, automation initiatives, geospatial datasets, AI-driven solutions and advanced risk analytics, making it ideal for someone who enjoys solving complex problems and building scalable data solutions. Key Responsibilities Develop and enhance analytical tools used to monitor natural catastrophe exposure across the business. Build automated data pipelines and reporting processes to improve efficiency and reduce manual workloads. Support the production of portfolio analytics and catastrophe exposure forecasts. Create and maintain dashboards and visualisation tools using platforms such as Power BI and Databricks. Work with research and underwriting teams to develop proprietary risk scoring datasets and portfolio insights. Develop Python and SQL solutions that improve catastrophe pricing and exposure management processes. Translate catastrophe model outputs into business-critical reporting used for capital modelling and portfolio management. Support data enrichment initiatives and explore emerging technologies, including AI-powered solutions. Collaborate with underwriters, actuaries and senior stakeholders to deliver meaningful exposure insights. What We're Looking For Experience working within the insurance market in a data-focused analytical role. Exposure to Property insurance, catastrophe modelling or exposure management would be highly advantageous. Strong programming skills, particularly Python and SQL. Experience working with large datasets and process automation. Knowledge of catastrophe modelling platforms such as RMS or Verisk would be beneficial. Understanding of geospatial data, GIS tools or spatial analytics is desirable. Experience working with APIs, dashboarding tools and modern analytics platforms. Strong analytical and problem-solving skills with the ability to communicate complex findings clearly. A proactive, self-motivated approach and desire to improve processes through technology. Why Apply? Join a business where exposure analytics is a key strategic function. Work on innovative projects involving catastrophe risk, automation, geospatial analytics and AI. Gain exposure to senior stakeholders and underwriting teams across the organisation. Be part of a collaborative, technically strong team environment. Excellent opportunity to develop both your technical and commercial expertise within the London Market. For a confidential discussion and further information, please get in touch.
Solutions Architect - Defence Systems Location: London, Bristol, Reading or Southampton Salary: £65,000 - £110,000 cash package Clearance: Active SC clearance required DV clearance highly desirable Working Pattern: Hybrid We are working with a leading consultancy delivering major technology and transformation programmes across the UK Defence sector. They are looking for experienced Systems Architects to help design, integrate and deliver complex systems that support critical Defence transformation initiatives. This is an opportunity to work closely with senior stakeholders, technical teams and client-side decision makers, taking ownership of system architecture across complex enterprise environments. You will play a key role in shaping technical design, defining system specifications and ensuring solutions are secure, scalable, resilient and aligned to wider programme objectives. The role As a Systems Architect, you will be responsible for leading the design and architecture of systems and components within larger Defence transformation programmes. You will translate high-level solution designs into detailed technical architectures, covering areas such as component design, interface specifications, data flows, integration patterns and technical governance. You will also work closely with solution architects, engineering teams and client stakeholders to ensure systems are delivered effectively, integrated seamlessly and designed to meet demanding performance, security and resilience requirements. Key responsibilities You will be involved in: Designing and delivering system architectures for complex Defence programmes. Defining system specifications, interface control documents, data models and detailed technical designs. Translating high-level solution designs into practical, deliverable system architectures. Assessing existing systems, identifying technical gaps and recommending architectural improvements. Providing technical leadership to development, engineering and delivery teams. Managing technical workstreams or smaller projects focused on system design, integration and implementation. Supporting architecture governance, assurance and technical standards. Building trusted relationships with client stakeholders as a credible technical advisor. Mentoring and supporting junior team members. What we're looking for You will need: Active SC clearance . Strong experience in systems architecture, design and integration within complex enterprise environments. Experience working across Defence, Government, secure or highly regulated environments. Ability to translate solution designs into detailed technical architectures, including interfaces, components and data flows. Technical knowledge across systems such as ERP, COTS platforms, bespoke applications, data platforms or similar. Understanding of integration patterns, such as APIs, message queues and system-to-system data exchange. Strong knowledge of system performance, scalability, security and resilience. Experience defining technical standards, governance and assurance processes. Excellent stakeholder management and communication skills. Experience leading technical workstreams or small project teams. A relevant technical degree or equivalent professional experience. Desirable experience It would be beneficial to have: Active DV clearance . Knowledge of Defence architecture frameworks such as MODAF . Experience with cloud-native architectures, microservices or containerisation. TOGAF or other enterprise architecture certifications. Experience with secure system design or cybersecurity principles. Experience contributing to bids, proposals or technical transformation opportunities. Understanding of project and programme delivery disciplines. Why apply? This is a high-impact role where you will work on meaningful Defence transformation programmes, helping shape the systems and technology that support national security outcomes. You will be joining a highly experienced technology team with access to complex, challenging and rewarding client work, as well as strong opportunities for development and progression. The role can be based from London, Bristol, Reading or Southampton , with hybrid working available depending on programme requirements.
25/06/2026
Full time
Solutions Architect - Defence Systems Location: London, Bristol, Reading or Southampton Salary: £65,000 - £110,000 cash package Clearance: Active SC clearance required DV clearance highly desirable Working Pattern: Hybrid We are working with a leading consultancy delivering major technology and transformation programmes across the UK Defence sector. They are looking for experienced Systems Architects to help design, integrate and deliver complex systems that support critical Defence transformation initiatives. This is an opportunity to work closely with senior stakeholders, technical teams and client-side decision makers, taking ownership of system architecture across complex enterprise environments. You will play a key role in shaping technical design, defining system specifications and ensuring solutions are secure, scalable, resilient and aligned to wider programme objectives. The role As a Systems Architect, you will be responsible for leading the design and architecture of systems and components within larger Defence transformation programmes. You will translate high-level solution designs into detailed technical architectures, covering areas such as component design, interface specifications, data flows, integration patterns and technical governance. You will also work closely with solution architects, engineering teams and client stakeholders to ensure systems are delivered effectively, integrated seamlessly and designed to meet demanding performance, security and resilience requirements. Key responsibilities You will be involved in: Designing and delivering system architectures for complex Defence programmes. Defining system specifications, interface control documents, data models and detailed technical designs. Translating high-level solution designs into practical, deliverable system architectures. Assessing existing systems, identifying technical gaps and recommending architectural improvements. Providing technical leadership to development, engineering and delivery teams. Managing technical workstreams or smaller projects focused on system design, integration and implementation. Supporting architecture governance, assurance and technical standards. Building trusted relationships with client stakeholders as a credible technical advisor. Mentoring and supporting junior team members. What we're looking for You will need: Active SC clearance . Strong experience in systems architecture, design and integration within complex enterprise environments. Experience working across Defence, Government, secure or highly regulated environments. Ability to translate solution designs into detailed technical architectures, including interfaces, components and data flows. Technical knowledge across systems such as ERP, COTS platforms, bespoke applications, data platforms or similar. Understanding of integration patterns, such as APIs, message queues and system-to-system data exchange. Strong knowledge of system performance, scalability, security and resilience. Experience defining technical standards, governance and assurance processes. Excellent stakeholder management and communication skills. Experience leading technical workstreams or small project teams. A relevant technical degree or equivalent professional experience. Desirable experience It would be beneficial to have: Active DV clearance . Knowledge of Defence architecture frameworks such as MODAF . Experience with cloud-native architectures, microservices or containerisation. TOGAF or other enterprise architecture certifications. Experience with secure system design or cybersecurity principles. Experience contributing to bids, proposals or technical transformation opportunities. Understanding of project and programme delivery disciplines. Why apply? This is a high-impact role where you will work on meaningful Defence transformation programmes, helping shape the systems and technology that support national security outcomes. You will be joining a highly experienced technology team with access to complex, challenging and rewarding client work, as well as strong opportunities for development and progression. The role can be based from London, Bristol, Reading or Southampton , with hybrid working available depending on programme requirements.
Solutions Architect - Defence Systems Location: London, Bristol, Reading or Southampton Salary: £65,000 - £110,000 cash package Clearance: Active SC clearance required DV clearance highly desirable Working Pattern: Hybrid We are working with a leading consultancy delivering major technology and transformation programmes across the UK Defence sector. They are looking for experienced Systems Architects to help design, integrate and deliver complex systems that support critical Defence transformation initiatives. This is an opportunity to work closely with senior stakeholders, technical teams and client-side decision makers, taking ownership of system architecture across complex enterprise environments. You will play a key role in shaping technical design, defining system specifications and ensuring solutions are secure, scalable, resilient and aligned to wider programme objectives. The role As a Systems Architect, you will be responsible for leading the design and architecture of systems and components within larger Defence transformation programmes. You will translate high-level solution designs into detailed technical architectures, covering areas such as component design, interface specifications, data flows, integration patterns and technical governance. You will also work closely with solution architects, engineering teams and client stakeholders to ensure systems are delivered effectively, integrated seamlessly and designed to meet demanding performance, security and resilience requirements. Key responsibilities You will be involved in: Designing and delivering system architectures for complex Defence programmes. Defining system specifications, interface control documents, data models and detailed technical designs. Translating high-level solution designs into practical, deliverable system architectures. Assessing existing systems, identifying technical gaps and recommending architectural improvements. Providing technical leadership to development, engineering and delivery teams. Managing technical workstreams or smaller projects focused on system design, integration and implementation. Supporting architecture governance, assurance and technical standards. Building trusted relationships with client stakeholders as a credible technical advisor. Mentoring and supporting junior team members. What we're looking for You will need: Active SC clearance . Strong experience in systems architecture, design and integration within complex enterprise environments. Experience working across Defence, Government, secure or highly regulated environments. Ability to translate solution designs into detailed technical architectures, including interfaces, components and data flows. Technical knowledge across systems such as ERP, COTS platforms, bespoke applications, data platforms or similar. Understanding of integration patterns, such as APIs, message queues and system-to-system data exchange. Strong knowledge of system performance, scalability, security and resilience. Experience defining technical standards, governance and assurance processes. Excellent stakeholder management and communication skills. Experience leading technical workstreams or small project teams. A relevant technical degree or equivalent professional experience. Desirable experience It would be beneficial to have: Active DV clearance . Knowledge of Defence architecture frameworks such as MODAF . Experience with cloud-native architectures, microservices or containerisation. TOGAF or other enterprise architecture certifications. Experience with secure system design or cybersecurity principles. Experience contributing to bids, proposals or technical transformation opportunities. Understanding of project and programme delivery disciplines. Why apply? This is a high-impact role where you will work on meaningful Defence transformation programmes, helping shape the systems and technology that support national security outcomes. You will be joining a highly experienced technology team with access to complex, challenging and rewarding client work, as well as strong opportunities for development and progression. The role can be based from London, Bristol, Reading or Southampton , with hybrid working available depending on programme requirements.
25/06/2026
Full time
Solutions Architect - Defence Systems Location: London, Bristol, Reading or Southampton Salary: £65,000 - £110,000 cash package Clearance: Active SC clearance required DV clearance highly desirable Working Pattern: Hybrid We are working with a leading consultancy delivering major technology and transformation programmes across the UK Defence sector. They are looking for experienced Systems Architects to help design, integrate and deliver complex systems that support critical Defence transformation initiatives. This is an opportunity to work closely with senior stakeholders, technical teams and client-side decision makers, taking ownership of system architecture across complex enterprise environments. You will play a key role in shaping technical design, defining system specifications and ensuring solutions are secure, scalable, resilient and aligned to wider programme objectives. The role As a Systems Architect, you will be responsible for leading the design and architecture of systems and components within larger Defence transformation programmes. You will translate high-level solution designs into detailed technical architectures, covering areas such as component design, interface specifications, data flows, integration patterns and technical governance. You will also work closely with solution architects, engineering teams and client stakeholders to ensure systems are delivered effectively, integrated seamlessly and designed to meet demanding performance, security and resilience requirements. Key responsibilities You will be involved in: Designing and delivering system architectures for complex Defence programmes. Defining system specifications, interface control documents, data models and detailed technical designs. Translating high-level solution designs into practical, deliverable system architectures. Assessing existing systems, identifying technical gaps and recommending architectural improvements. Providing technical leadership to development, engineering and delivery teams. Managing technical workstreams or smaller projects focused on system design, integration and implementation. Supporting architecture governance, assurance and technical standards. Building trusted relationships with client stakeholders as a credible technical advisor. Mentoring and supporting junior team members. What we're looking for You will need: Active SC clearance . Strong experience in systems architecture, design and integration within complex enterprise environments. Experience working across Defence, Government, secure or highly regulated environments. Ability to translate solution designs into detailed technical architectures, including interfaces, components and data flows. Technical knowledge across systems such as ERP, COTS platforms, bespoke applications, data platforms or similar. Understanding of integration patterns, such as APIs, message queues and system-to-system data exchange. Strong knowledge of system performance, scalability, security and resilience. Experience defining technical standards, governance and assurance processes. Excellent stakeholder management and communication skills. Experience leading technical workstreams or small project teams. A relevant technical degree or equivalent professional experience. Desirable experience It would be beneficial to have: Active DV clearance . Knowledge of Defence architecture frameworks such as MODAF . Experience with cloud-native architectures, microservices or containerisation. TOGAF or other enterprise architecture certifications. Experience with secure system design or cybersecurity principles. Experience contributing to bids, proposals or technical transformation opportunities. Understanding of project and programme delivery disciplines. Why apply? This is a high-impact role where you will work on meaningful Defence transformation programmes, helping shape the systems and technology that support national security outcomes. You will be joining a highly experienced technology team with access to complex, challenging and rewarding client work, as well as strong opportunities for development and progression. The role can be based from London, Bristol, Reading or Southampton , with hybrid working available depending on programme requirements.
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)
25/06/2026
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
24/06/2026
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
Sr. Data Engineer, EU Books Analytics and Engineering Job ID: Amazon EU SARL (UK Branch) Amazon EU Books serves millions of customers across European markets with one of the world's largest book selections, spanning Kindle, print, and audiobook formats. The EU Books BI and Data Engineering team is transforming from a traditional reporting function into an AI-enabled decision intelligence engine. We are building the data foundation that powers self-service analytics, predictive models, and domain specific AI applications across the EU Books organization. We are looking for a Data Engineer III to own and evolve the data architecture that supports multiple business domains including Demand, Pricing, Deals, Finance, and EU Books Leadership. You will build the infrastructure layer that connects raw business signals into reliable, governed, model ready datasets, enabling both operational reporting and the advanced analytics capabilities we are building toward. The current data landscape spans multiple systems, teams, and marketplaces. You will consolidate, govern, and automate it, reducing stakeholder dependence on manual BI work and enabling self service access at scale. Key job responsibilities Own and evolve team level data architecture: ingestion, transformation, storage, serving, and monitoring across multiple EU marketplaces and business domains Design and build scalable, self healing data pipelines that integrate business signals from diverse sources (demand, pricing, customer behavior, operational metrics) Define data models and schemas optimized for both operational reporting and statistical/econometric model consumption Build automated data quality frameworks that ensure accuracy and reliability for high stakes business decisions Engineer self service data access through metadata rich catalogs, governed query layers, and dashboard ready datasets that enable stakeholders to answer recurring questions without BI mediation Build the measurement infrastructure for business experiments (A/B tests, weblabs), ensuring clean experiment data and statistically valid result datasets Drive cost optimization and data governance across the analytics data estate: lineage tracking, metric definitions, access controls, and SLA definitions Partner with BIEs, business stakeholders, and cross functional teams to translate analytical requirements into robust, scalable data solutions Contribute to the team's AI Engineering roadmap by building the data backbone that domain specific AI applications consume (automated narratives, anomaly detection, natural language data access) Break complex cross domain problems into parallel workstreams and coordinate delivery across contributors A day in the life: You start your day reviewing pipeline health across 50+ recurring jobs via the monitoring dashboard you helped build. Mid morning, you partner with a BIE to design a new datamart schema for a business experiment launching across multiple marketplaces. After lunch, you debug a data quality issue in a cross domain pipeline, then join a sprint sync where engineers share progress signals. Late afternoon, you architect the data layer for an AI agent that will let analysts query demand drivers conversationally. Your work feeds dashboards leadership uses weekly and AI tools that are reshaping how the organization operates. About the team We are a distributed team of data and business intelligence engineers across Europe, transforming EU Books analytics from traditional reporting into an AI enabled decision intelligence engine. Operating across four pillars - Data Engineering, Business Intelligence, Advanced Analytics, and AI Engineering - we support Demand, Pricing, Deals, Finance, and Kindle Unlimited across 15 European marketplaces. We build self healing pipelines, AI powered tools, and self service platforms that let business teams act faster. Our culture values ownership, craftsmanship, and depth over breadth - L6 engineers own workstreams end to end with full autonomy. Basic Qualifications Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience mentoring team members on best practices Experience as a Data Engineer or in a similar role Preferred Qualifications Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy Experience providing technical leadership and mentoring other engineers for best practices on data engineering Knowledge of distributed systems as it pertains to data storage and computing Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
24/06/2026
Full time
Sr. Data Engineer, EU Books Analytics and Engineering Job ID: Amazon EU SARL (UK Branch) Amazon EU Books serves millions of customers across European markets with one of the world's largest book selections, spanning Kindle, print, and audiobook formats. The EU Books BI and Data Engineering team is transforming from a traditional reporting function into an AI-enabled decision intelligence engine. We are building the data foundation that powers self-service analytics, predictive models, and domain specific AI applications across the EU Books organization. We are looking for a Data Engineer III to own and evolve the data architecture that supports multiple business domains including Demand, Pricing, Deals, Finance, and EU Books Leadership. You will build the infrastructure layer that connects raw business signals into reliable, governed, model ready datasets, enabling both operational reporting and the advanced analytics capabilities we are building toward. The current data landscape spans multiple systems, teams, and marketplaces. You will consolidate, govern, and automate it, reducing stakeholder dependence on manual BI work and enabling self service access at scale. Key job responsibilities Own and evolve team level data architecture: ingestion, transformation, storage, serving, and monitoring across multiple EU marketplaces and business domains Design and build scalable, self healing data pipelines that integrate business signals from diverse sources (demand, pricing, customer behavior, operational metrics) Define data models and schemas optimized for both operational reporting and statistical/econometric model consumption Build automated data quality frameworks that ensure accuracy and reliability for high stakes business decisions Engineer self service data access through metadata rich catalogs, governed query layers, and dashboard ready datasets that enable stakeholders to answer recurring questions without BI mediation Build the measurement infrastructure for business experiments (A/B tests, weblabs), ensuring clean experiment data and statistically valid result datasets Drive cost optimization and data governance across the analytics data estate: lineage tracking, metric definitions, access controls, and SLA definitions Partner with BIEs, business stakeholders, and cross functional teams to translate analytical requirements into robust, scalable data solutions Contribute to the team's AI Engineering roadmap by building the data backbone that domain specific AI applications consume (automated narratives, anomaly detection, natural language data access) Break complex cross domain problems into parallel workstreams and coordinate delivery across contributors A day in the life: You start your day reviewing pipeline health across 50+ recurring jobs via the monitoring dashboard you helped build. Mid morning, you partner with a BIE to design a new datamart schema for a business experiment launching across multiple marketplaces. After lunch, you debug a data quality issue in a cross domain pipeline, then join a sprint sync where engineers share progress signals. Late afternoon, you architect the data layer for an AI agent that will let analysts query demand drivers conversationally. Your work feeds dashboards leadership uses weekly and AI tools that are reshaping how the organization operates. About the team We are a distributed team of data and business intelligence engineers across Europe, transforming EU Books analytics from traditional reporting into an AI enabled decision intelligence engine. Operating across four pillars - Data Engineering, Business Intelligence, Advanced Analytics, and AI Engineering - we support Demand, Pricing, Deals, Finance, and Kindle Unlimited across 15 European marketplaces. We build self healing pipelines, AI powered tools, and self service platforms that let business teams act faster. Our culture values ownership, craftsmanship, and depth over breadth - L6 engineers own workstreams end to end with full autonomy. Basic Qualifications Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience mentoring team members on best practices Experience as a Data Engineer or in a similar role Preferred Qualifications Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy Experience providing technical leadership and mentoring other engineers for best practices on data engineering Knowledge of distributed systems as it pertains to data storage and computing Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The impact you will have As Staff MLOps Engineer, you will define and build Elliptic's Enterprise MLOps platform. Elliptic has growing ML capability across several teams, an established model registry, and a maturing model risk management practice. What is missing is the unified platform layer that ties training, deployment, monitoring, and governance together into a coherent, scalable discipline. You will be responsible for creating that layer. Your platform will serve four distinct internal consumers, each with different needs: Product Engineering teams building customer-facing models and customer data analytical models, who need reproducible training pipelines, CI/CD for model deployment, and low-latency serving infrastructure Intelligence Research building frontier intelligence collection, predictive pre-screening models, and behavioural pattern detection, who need rapid experimentation, GPU orchestration, and dataset versioning InfoSec who own the model registry and model risk management framework today, and need the platform to close execution gaps in audit trails, drift monitoring, and compliance reporting Operations who own BI, usage prediction, and revenue opportunity signalling, and need scheduled batch inference, BI integration, and pipeline reliability The platform you build must enforce governance with enough rigour to satisfy a regulated financial crime context, while remaining flexible enough to avoid slowing down research teams who need to iterate quickly. This is a role for someone who has built ML infrastructure from the ground up before, who understands that a platform succeeds only when it is adopted, and who is comfortable making build vs buy decisions that others will adopt and use for years. What you will do Define the target state MLOps architecture for Elliptic, covering model training pipelines, serving infrastructure, monitoring, feature management, and governance, and produce the architecture decision records that inform investment decisions Make and document build vs buy vs stop recommendations with clear cost modelling and trade off analysis, evaluating vendors, open-source tools, and managed services against Elliptic's constraints (AWS primary, Databricks ecosystem) Work with InfoSec to improve the existing model registry and model risk management framework, closing identified gaps in metadata, lineage, approval workflows, and drift/bias detection Build model training pipelines, CI/CD for ML, and serving infrastructure, working directly with a small group of infrastructure engineers to ship production grade platform capabilities Instrument observability across the ML lifecycle: training metrics, serving latency and throughput, data quality, and prediction drift, integrating with Elliptic's existing observability stack Work directly with data scientists and ML engineers across all four consumer groups to onboard them onto the platform, writing documentation, runbooks, and reference architectures that lower the barrier to self service You will be a great fit here if you Have built MLOps platforms or ML infrastructure from the ground up, and can speak to what worked, what didn't, and why Have operated in a regulated industry (e.g. compliance, financial) and have hands on experience building ML infrastructure to meet those regulatory demands Think about ML infrastructure the way the best platform engineers think about data infrastructure: as a set of foundations with internal customers whose needs must be understood and balanced Are comfortable operating in ambiguity, making decisions with incomplete information, and creating structure where none exists, while remaining open to changing course when better information arrives Influence through clarity, evidence, and the quality of your work rather than positional authority. You earn adoption by making the platform genuinely better than the alternative Care about production engineering quality: you write production grade code, your systems are tested, observable, documented, and designed for others to operate Our ideal candidate has Deep hands on experience building MLOps platforms, including model registries, feature stores, and ML pipeline orchestration Working knowledge of model serving patterns: real time inference, batch prediction, A/B deployment, and deployment strategies AWS infrastructure experience (ECS/EKS, S3, IAM, networking) and comfort operating in a Databricks ecosystem or equivalent lakehouse architecture Experience with model monitoring: model evaluation, data drift detection, prediction drift, and performance degradation alerting A track record of building something from zero and bringing it to a state where others could operate and extend it Experience in a regulated industry (fintech, financial services, healthcare) where model governance is a compliance requirement See AI as a core part of how modern engineering gets done, not a passing trend. You actively use it to think faster, prototype faster, and pressure test your own designs, and you're excited that the bar keeps rising. Prior experience running formal build vs buy evaluations with written decision records Bonus Points for Familiarity with model risk management frameworks and the ability to connect governance practices to regulatory expectations Experience working simultaneously with research oriented ML teams and production oriented engineering teams, and understanding how their needs diverge Infrastructure as code fluency (Terraform) Experience with ClickHouse or similar OLAP engines for low latency ML feature serving Blockchain or crypto domain knowledge Experience working in fraud detection and modelling Contributions to open source MLOps tooling Job Benefits How we work Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space Learning & Development $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Vacation/ Leave Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Benefits Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
24/06/2026
Full time
The impact you will have As Staff MLOps Engineer, you will define and build Elliptic's Enterprise MLOps platform. Elliptic has growing ML capability across several teams, an established model registry, and a maturing model risk management practice. What is missing is the unified platform layer that ties training, deployment, monitoring, and governance together into a coherent, scalable discipline. You will be responsible for creating that layer. Your platform will serve four distinct internal consumers, each with different needs: Product Engineering teams building customer-facing models and customer data analytical models, who need reproducible training pipelines, CI/CD for model deployment, and low-latency serving infrastructure Intelligence Research building frontier intelligence collection, predictive pre-screening models, and behavioural pattern detection, who need rapid experimentation, GPU orchestration, and dataset versioning InfoSec who own the model registry and model risk management framework today, and need the platform to close execution gaps in audit trails, drift monitoring, and compliance reporting Operations who own BI, usage prediction, and revenue opportunity signalling, and need scheduled batch inference, BI integration, and pipeline reliability The platform you build must enforce governance with enough rigour to satisfy a regulated financial crime context, while remaining flexible enough to avoid slowing down research teams who need to iterate quickly. This is a role for someone who has built ML infrastructure from the ground up before, who understands that a platform succeeds only when it is adopted, and who is comfortable making build vs buy decisions that others will adopt and use for years. What you will do Define the target state MLOps architecture for Elliptic, covering model training pipelines, serving infrastructure, monitoring, feature management, and governance, and produce the architecture decision records that inform investment decisions Make and document build vs buy vs stop recommendations with clear cost modelling and trade off analysis, evaluating vendors, open-source tools, and managed services against Elliptic's constraints (AWS primary, Databricks ecosystem) Work with InfoSec to improve the existing model registry and model risk management framework, closing identified gaps in metadata, lineage, approval workflows, and drift/bias detection Build model training pipelines, CI/CD for ML, and serving infrastructure, working directly with a small group of infrastructure engineers to ship production grade platform capabilities Instrument observability across the ML lifecycle: training metrics, serving latency and throughput, data quality, and prediction drift, integrating with Elliptic's existing observability stack Work directly with data scientists and ML engineers across all four consumer groups to onboard them onto the platform, writing documentation, runbooks, and reference architectures that lower the barrier to self service You will be a great fit here if you Have built MLOps platforms or ML infrastructure from the ground up, and can speak to what worked, what didn't, and why Have operated in a regulated industry (e.g. compliance, financial) and have hands on experience building ML infrastructure to meet those regulatory demands Think about ML infrastructure the way the best platform engineers think about data infrastructure: as a set of foundations with internal customers whose needs must be understood and balanced Are comfortable operating in ambiguity, making decisions with incomplete information, and creating structure where none exists, while remaining open to changing course when better information arrives Influence through clarity, evidence, and the quality of your work rather than positional authority. You earn adoption by making the platform genuinely better than the alternative Care about production engineering quality: you write production grade code, your systems are tested, observable, documented, and designed for others to operate Our ideal candidate has Deep hands on experience building MLOps platforms, including model registries, feature stores, and ML pipeline orchestration Working knowledge of model serving patterns: real time inference, batch prediction, A/B deployment, and deployment strategies AWS infrastructure experience (ECS/EKS, S3, IAM, networking) and comfort operating in a Databricks ecosystem or equivalent lakehouse architecture Experience with model monitoring: model evaluation, data drift detection, prediction drift, and performance degradation alerting A track record of building something from zero and bringing it to a state where others could operate and extend it Experience in a regulated industry (fintech, financial services, healthcare) where model governance is a compliance requirement See AI as a core part of how modern engineering gets done, not a passing trend. You actively use it to think faster, prototype faster, and pressure test your own designs, and you're excited that the bar keeps rising. Prior experience running formal build vs buy evaluations with written decision records Bonus Points for Familiarity with model risk management frameworks and the ability to connect governance practices to regulatory expectations Experience working simultaneously with research oriented ML teams and production oriented engineering teams, and understanding how their needs diverge Infrastructure as code fluency (Terraform) Experience with ClickHouse or similar OLAP engines for low latency ML feature serving Blockchain or crypto domain knowledge Experience working in fraud detection and modelling Contributions to open source MLOps tooling Job Benefits How we work Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space Learning & Development $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Vacation/ Leave Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Benefits Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included. Do you have strong analytical skills, a problem solving approach to work and enjoy developing data and analytic products? Are you good at building working relationships and want your work to make a difference to Sheffield and its people? About the team The Corporate Performance and Insight service is located within Strategic Enabling Services, part of the essential wiring that supports Sheffield City Council to work well. We are a small, dynamic, motivated team of performance analysts, data scientists and GIS specialists. We collaborate and work with services and functions across the organisation. As a corporate hub, we are continually developing our expertise and have a key role in driving the Council's data, analysis, performance, management and improvement. About the role As a Senior Analyst, you will work with colleagues across the organisation using a wide range of datasets from Census 2021 and local level Office for National Statistics (ONS) data through to internal Council service delivery data, carrying out a range of data analysis and management, reporting and data product development tasks, particularly with the use of PowerBI, PowerPlatform and other products in the Microsoft data stack. You will have an important role to play in supporting the implementation and function of the council performance framework and maturing data infrastructure, working with council services to ensure key data and context components are in place and available for performance monitoring and improvement activity. You will be confident to play a leading role in the ongoing development of our team and function, develop networks and links within the Council and with partner organisations, undertaking analysis and communicating findings to support the priorities of the Council Plan. You'll have the opportunity to work alongside experienced colleagues getting involved in data management and engineering and further developing your skills and knowledge. If you meet most of the requirements for this job and are passionate, positive, and willing to learn, we would love to hear from you. Equal Opportunities & Safeguarding We are investing in our workforce and are promoting opportunities to our under represented groups. We value equality, diversity and inclusion and are focused on increasing the diversity of our workforce, particularly the number of Black, Asian, Minority Ethnic, Disabled and LGBTQ+ people, so that our teams reflect the communities in the city we serve. We are also supporting staff with unpaid caring responsibilities to work flexibly. Under the Guaranteed Interview scheme, applicants who are disabled, care leavers, or armed forces veterans will be guaranteed an interview if they meet the essential criteria and indicate their eligibility on the application form. Sometimes, if many people apply, we might not be able to interview everyone who qualifies for the Guarantee. In these cases, we'll interview the candidates who best meet the essential criteria for the job. Full time employees work 37 hours for 52 weeks of the year and we offer a generous holiday entitlement. We are open to discussions about a wide range of flexible working opportunities which benefit you and the Council, including reduced hour contracts, working part time or as a job share. If you are appointed to this role, your starting salary will be at the bottom of the grade. If you provide pay slip evidence that your basic pay is greater than the bottom of the grade, we will consider starting you at the point of minimum advantage within the grade. Equality of pay is extremely important to us. All roles at Sheffield City Council are going through an evaluation process which may result in changes to some pay arrangements from 2026. Find out more on our Sheff news page. We are committed to safeguarding and promoting the welfare of all individuals, ensuring a safe and supportive environment for everyone and where appropriate to the role the successful applicant will be required to undertake relevant safeguarding checks.
24/06/2026
Full time
The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included. Do you have strong analytical skills, a problem solving approach to work and enjoy developing data and analytic products? Are you good at building working relationships and want your work to make a difference to Sheffield and its people? About the team The Corporate Performance and Insight service is located within Strategic Enabling Services, part of the essential wiring that supports Sheffield City Council to work well. We are a small, dynamic, motivated team of performance analysts, data scientists and GIS specialists. We collaborate and work with services and functions across the organisation. As a corporate hub, we are continually developing our expertise and have a key role in driving the Council's data, analysis, performance, management and improvement. About the role As a Senior Analyst, you will work with colleagues across the organisation using a wide range of datasets from Census 2021 and local level Office for National Statistics (ONS) data through to internal Council service delivery data, carrying out a range of data analysis and management, reporting and data product development tasks, particularly with the use of PowerBI, PowerPlatform and other products in the Microsoft data stack. You will have an important role to play in supporting the implementation and function of the council performance framework and maturing data infrastructure, working with council services to ensure key data and context components are in place and available for performance monitoring and improvement activity. You will be confident to play a leading role in the ongoing development of our team and function, develop networks and links within the Council and with partner organisations, undertaking analysis and communicating findings to support the priorities of the Council Plan. You'll have the opportunity to work alongside experienced colleagues getting involved in data management and engineering and further developing your skills and knowledge. If you meet most of the requirements for this job and are passionate, positive, and willing to learn, we would love to hear from you. Equal Opportunities & Safeguarding We are investing in our workforce and are promoting opportunities to our under represented groups. We value equality, diversity and inclusion and are focused on increasing the diversity of our workforce, particularly the number of Black, Asian, Minority Ethnic, Disabled and LGBTQ+ people, so that our teams reflect the communities in the city we serve. We are also supporting staff with unpaid caring responsibilities to work flexibly. Under the Guaranteed Interview scheme, applicants who are disabled, care leavers, or armed forces veterans will be guaranteed an interview if they meet the essential criteria and indicate their eligibility on the application form. Sometimes, if many people apply, we might not be able to interview everyone who qualifies for the Guarantee. In these cases, we'll interview the candidates who best meet the essential criteria for the job. Full time employees work 37 hours for 52 weeks of the year and we offer a generous holiday entitlement. We are open to discussions about a wide range of flexible working opportunities which benefit you and the Council, including reduced hour contracts, working part time or as a job share. If you are appointed to this role, your starting salary will be at the bottom of the grade. If you provide pay slip evidence that your basic pay is greater than the bottom of the grade, we will consider starting you at the point of minimum advantage within the grade. Equality of pay is extremely important to us. All roles at Sheffield City Council are going through an evaluation process which may result in changes to some pay arrangements from 2026. Find out more on our Sheff news page. We are committed to safeguarding and promoting the welfare of all individuals, ensuring a safe and supportive environment for everyone and where appropriate to the role the successful applicant will be required to undertake relevant safeguarding checks.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
24/06/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions, including in house AI systems and off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team We build Graphcore products into large scale AI solutions for our customers. The Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Operate and extend existing OpenStack based cloud services and contribute to the deployment and development of new ones. Develop and operate end user services on our clouds and support internal users in their use. Turn end user and product requirements into deployed services. Help build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information on any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as Code in internal and external datacentres. Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. Work with external vendors of off the shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience ALL REQUIRED Bachelor's degree or equivalent practical experience in a relevant subject. Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. Experience managing or operating on premises or private cloud environments. Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash and python required). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. Hands on experience deploying services into public or private clouds using Infrastructure as Code. A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). Experience with container deployment and management tools (e.g. Docker, Podman, Apptainer). Experience with solutions for monitoring and observability (Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka). Good communication and presentation skills, and experience dealing with end users of IT or cloud services. An ability to work independently on critical infrastructure without oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU). Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Strong skillset and experience in end to end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with Python3 utilising classes and inheritance. Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
24/06/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions, including in house AI systems and off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team We build Graphcore products into large scale AI solutions for our customers. The Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Operate and extend existing OpenStack based cloud services and contribute to the deployment and development of new ones. Develop and operate end user services on our clouds and support internal users in their use. Turn end user and product requirements into deployed services. Help build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information on any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as Code in internal and external datacentres. Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. Work with external vendors of off the shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience ALL REQUIRED Bachelor's degree or equivalent practical experience in a relevant subject. Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. Experience managing or operating on premises or private cloud environments. Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash and python required). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. Hands on experience deploying services into public or private clouds using Infrastructure as Code. A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). Experience with container deployment and management tools (e.g. Docker, Podman, Apptainer). Experience with solutions for monitoring and observability (Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka). Good communication and presentation skills, and experience dealing with end users of IT or cloud services. An ability to work independently on critical infrastructure without oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU). Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Strong skillset and experience in end to end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with Python3 utilising classes and inheritance. Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions. These include in house AI systems alongside off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Develop and operate Kubernetes managed end user services on our private clouds and support internal users in their use. You will turn end user and product requirements into deployed services. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as code in internal and external datacentres. Skills and Experience (all required) Bachelor's degree or equivalent practical experience in a relevant subject. Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD. Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash, python, awk, sed). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. A solid hands on understanding of the technologies underpinning cloud services (APIs, virtualization of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer). Good communication and presentation skills, and experience dealing with end users of IT services. An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end user availability. Desirable but not required Experience with Openstack cloud platforms. Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki. Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Programming experience with Python3 utilising classes and inheritance. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
24/06/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions. These include in house AI systems alongside off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Develop and operate Kubernetes managed end user services on our private clouds and support internal users in their use. You will turn end user and product requirements into deployed services. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as code in internal and external datacentres. Skills and Experience (all required) Bachelor's degree or equivalent practical experience in a relevant subject. Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD. Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash, python, awk, sed). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. A solid hands on understanding of the technologies underpinning cloud services (APIs, virtualization of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer). Good communication and presentation skills, and experience dealing with end users of IT services. An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end user availability. Desirable but not required Experience with Openstack cloud platforms. Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki. Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Programming experience with Python3 utilising classes and inheritance. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Senior ServiceNow Developer In this role you will be responsible for building high-quality, maintainable solutions using best-practice patterns. This role will balance speed of delivery with long-term sustainability and will operate with a high degree of autonomy. Key Responsibilities Design and develop solutions across the ServiceNow platform Configure core capabilities (eg ITSM, CSM, Now Assist, EC/Portals, workflows, flows, catalog, integrations, ITOM etc.) Build reusable, scalable components using out-of-the-box functionality Minimise customisation and avoid introducing technical debt Develop and maintain integrations (REST/SOAP APIs, external systems) Work closely with architects to align on design standards and guardrails Troubleshoot and resolve platform issues Contribute to documentation and knowledge sharing Required Experience Strong hands-on ServiceNow development experience Experience across multiple modules (not limited to one area) Advanced Scripting capability (JavaScript, Script Includes, Business Rules, Flow Designer) Experience building integrations and working with APIs Solid understanding of CMDB and data structures Proven ability to deliver independently in a senior capacity ServiceNow Certified Application Developer (CAD) - desirable Data foundations - mandatory Key Attributes Delivery-focused and practical Avoids over-engineering Comfortable operating as a senior developer in a small team This role will be remote with occasional travel to UK client site(s) and will fall Inside IR35. Candidates must be sole UK Nationals and hold, or be eligible for, UK Government SC clearance. JBRP1_UKTJ
24/06/2026
Full time
Senior ServiceNow Developer In this role you will be responsible for building high-quality, maintainable solutions using best-practice patterns. This role will balance speed of delivery with long-term sustainability and will operate with a high degree of autonomy. Key Responsibilities Design and develop solutions across the ServiceNow platform Configure core capabilities (eg ITSM, CSM, Now Assist, EC/Portals, workflows, flows, catalog, integrations, ITOM etc.) Build reusable, scalable components using out-of-the-box functionality Minimise customisation and avoid introducing technical debt Develop and maintain integrations (REST/SOAP APIs, external systems) Work closely with architects to align on design standards and guardrails Troubleshoot and resolve platform issues Contribute to documentation and knowledge sharing Required Experience Strong hands-on ServiceNow development experience Experience across multiple modules (not limited to one area) Advanced Scripting capability (JavaScript, Script Includes, Business Rules, Flow Designer) Experience building integrations and working with APIs Solid understanding of CMDB and data structures Proven ability to deliver independently in a senior capacity ServiceNow Certified Application Developer (CAD) - desirable Data foundations - mandatory Key Attributes Delivery-focused and practical Avoids over-engineering Comfortable operating as a senior developer in a small team This role will be remote with occasional travel to UK client site(s) and will fall Inside IR35. Candidates must be sole UK Nationals and hold, or be eligible for, UK Government SC clearance. JBRP1_UKTJ
Description A senior engineering leader who is responsible for the technical health, delivery performance, and professional development of their team. The Tech Lead is the primary engineering owner for one or more teams - setting technical direction, building culture, and bridging the gap between engineering and the broader organisation. Tech Leads are expected to actively drive AI-native culture within their team and model best practice for everyone they manage. The step from Technical Project Lead to Tech Lead is the most significant transition in the engineering career path. The TPL role is delivery-focused; the Tech Lead role adds sustained people leadership, team design, and function-level accountability. You are no longer primarily measured by what you build or what your project delivers - you are measured by the health and capability of your team over time. This means investing in people who may not yet be performing, having difficult conversations, and sometimes slowing down delivery to get the team architecture right. It is a fundamentally different role, and the instincts that made you a great TPL will need to evolve. Hands on contribution remains significant. Approximately 60% of time is spent on direct technical work - coding, design, review, and architectural decision making - and 40% on line management, stakeholder communication, hiring, and engineering strategy. This reflects Ignite's current scale and the importance of Tech Lead technical credibility. Responsibilities Own the technical health of one or more delivery teams: architecture, standards, quality, and culture Line manage up to 6 engineers directly or up to 10 indirectly, including regular 1:1s, objective setting, development support, and performance management Make or delegate architectural decisions with confidence, maintaining long term codebase coherence Balance hands on technical contribution with management and leadership responsibilities Drive quality and delivery standards across the team, setting clear expectations and holding them consistently Contribute to sprint planning and prioritisation alongside the Programme Manager and Analysts Lead incident response for the team, ensuring post mortems produce systemic improvements and address root causes Represent engineering in stakeholder conversations, communicating clearly on delivery status, technical risk, and capacity Partner with the Head of Engineering on resourcing, team design, and delivery strategy Contribute to hiring by defining role requirements, leading technical interviews, and making recommendations Support the development of Senior Engineers towards greater leadership capability Operate with commercial awareness, understanding the revenue and margin implications of technical decisions Contribute to cross function engineering strategy and platform wide architectural decisions Develop or contribute to the Ignite repeatability and AI native agenda Contribute to hiring strategy and team design conversations with the Head of Engineering Carry full line management responsibility for direct reports, including probation management and formal performance processes Support pay review and promotion recommendations to the Head of Engineering Manage indirect accountability for QA leads and their reports within the Ignite structure AI Leadership Responsibilities Actively use and champion coding harnesses, building team level harnesses that standardise AI usage for common tasks Understand AI agents at an implementation level, including design, risks, and appropriate usage Understand and work with skills as reusable AI capabilities Have a strong working knowledge of MCP (Model Context Protocol), including tool access, context management, and security implications Set expectations for AI tool use within the team, defining what is encouraged, what requires review, and where human verification is required Stay current with the AI tooling landscape and share relevant developments with the Head of Engineering Qualifications Languages: TypeScript and C#/.NET (sufficient depth to review and guide work in both stacks) Frontend: Vue.js (Customer Portal stack - review and governance level) Databases: SQL Server, PostgreSQL (design, performance, governance) Cloud & Infrastructure: Azure (architecture, cost management, security posture) Container Orchestration: Kubernetes (operational and governance level) CI/CD: GitHub Actions, GitOps (ownership and governance) Security: ISO 27001 controls implementation and penetration test coordination Tooling: Linear, Git/GitHub, Copilot, monitoring and alerting platforms
24/06/2026
Full time
Description A senior engineering leader who is responsible for the technical health, delivery performance, and professional development of their team. The Tech Lead is the primary engineering owner for one or more teams - setting technical direction, building culture, and bridging the gap between engineering and the broader organisation. Tech Leads are expected to actively drive AI-native culture within their team and model best practice for everyone they manage. The step from Technical Project Lead to Tech Lead is the most significant transition in the engineering career path. The TPL role is delivery-focused; the Tech Lead role adds sustained people leadership, team design, and function-level accountability. You are no longer primarily measured by what you build or what your project delivers - you are measured by the health and capability of your team over time. This means investing in people who may not yet be performing, having difficult conversations, and sometimes slowing down delivery to get the team architecture right. It is a fundamentally different role, and the instincts that made you a great TPL will need to evolve. Hands on contribution remains significant. Approximately 60% of time is spent on direct technical work - coding, design, review, and architectural decision making - and 40% on line management, stakeholder communication, hiring, and engineering strategy. This reflects Ignite's current scale and the importance of Tech Lead technical credibility. Responsibilities Own the technical health of one or more delivery teams: architecture, standards, quality, and culture Line manage up to 6 engineers directly or up to 10 indirectly, including regular 1:1s, objective setting, development support, and performance management Make or delegate architectural decisions with confidence, maintaining long term codebase coherence Balance hands on technical contribution with management and leadership responsibilities Drive quality and delivery standards across the team, setting clear expectations and holding them consistently Contribute to sprint planning and prioritisation alongside the Programme Manager and Analysts Lead incident response for the team, ensuring post mortems produce systemic improvements and address root causes Represent engineering in stakeholder conversations, communicating clearly on delivery status, technical risk, and capacity Partner with the Head of Engineering on resourcing, team design, and delivery strategy Contribute to hiring by defining role requirements, leading technical interviews, and making recommendations Support the development of Senior Engineers towards greater leadership capability Operate with commercial awareness, understanding the revenue and margin implications of technical decisions Contribute to cross function engineering strategy and platform wide architectural decisions Develop or contribute to the Ignite repeatability and AI native agenda Contribute to hiring strategy and team design conversations with the Head of Engineering Carry full line management responsibility for direct reports, including probation management and formal performance processes Support pay review and promotion recommendations to the Head of Engineering Manage indirect accountability for QA leads and their reports within the Ignite structure AI Leadership Responsibilities Actively use and champion coding harnesses, building team level harnesses that standardise AI usage for common tasks Understand AI agents at an implementation level, including design, risks, and appropriate usage Understand and work with skills as reusable AI capabilities Have a strong working knowledge of MCP (Model Context Protocol), including tool access, context management, and security implications Set expectations for AI tool use within the team, defining what is encouraged, what requires review, and where human verification is required Stay current with the AI tooling landscape and share relevant developments with the Head of Engineering Qualifications Languages: TypeScript and C#/.NET (sufficient depth to review and guide work in both stacks) Frontend: Vue.js (Customer Portal stack - review and governance level) Databases: SQL Server, PostgreSQL (design, performance, governance) Cloud & Infrastructure: Azure (architecture, cost management, security posture) Container Orchestration: Kubernetes (operational and governance level) CI/CD: GitHub Actions, GitOps (ownership and governance) Security: ISO 27001 controls implementation and penetration test coordination Tooling: Linear, Git/GitHub, Copilot, monitoring and alerting platforms
