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
Senior Back-End Developer Crawley, United Kingdom Posted 11 months ago Tech Stack Java Python JavaScript Backend Node.js APIs Responsibilities Design, develop, and maintain server-side applications and APIs using preferred technologies such as Java, Python, and Node.js. Architect scalable and high-performance systems to support business growth. Implement secure, efficient, and reliable data storage solutions. Compensation Competitive
24/06/2026
Full time
Senior Back-End Developer Crawley, United Kingdom Posted 11 months ago Tech Stack Java Python JavaScript Backend Node.js APIs Responsibilities Design, develop, and maintain server-side applications and APIs using preferred technologies such as Java, Python, and Node.js. Architect scalable and high-performance systems to support business growth. Implement secure, efficient, and reliable data storage solutions. Compensation Competitive
Job Description Summary Job Profile Summary The Senior Control & Protection System Application Engineer is responsible for the requirement definition, design, studies, validation, and commissioning of Control & Protection Systems for VSC-based HVDC transmission schemes, including MMC converter technology. This position requires deep expertise in HVDC Control & Protection, strong technical leadership, and the ability to drive reference solutions, process improvements, and consistent technical quality across multi-disciplinary, international engineering teams. Key responsibilities include Team development, engineering governance, technical oversight, implementation of lessons learned, and strong adherence to Safety, Quality, Delivery, and Cost (SQDC) principles. Job Description Roles and Responsibilities 1. Technical Leadership & Oversight Oversee the overall technical solution, ensuring customer requirements are met based on reference solutions. Lead requirements gathering, system design, implementation, and development of HVDC Control & Protection systems. Review and approve technical documents, including control/protection settings, manuals, test plans, and test procedures. Serve as the primary customer interface for technical discussions, training, and requirement clarification. 2. Control System & Protection Design Define control philosophies, protection and interlocking logics, and data exchange configurations. Lead and participate in engineering design processes, including design reviews and approval cycles. Ensure that all design outputs comply with industry standards, system requirements, and quality procedures. 3. Advanced Modelling & Simulation Conduct Electromagnetic Transient (EMT) studies using PSCAD, EMTP-RV, and model control/protection functions in MATLAB/Simulink. Perform network conversion, modelling, tuning, and verification using PSSE, PSCAD, and RSCAD. Develop full plant/system models and lead end-to-end validation across multiple simulation platforms. Lead Control System Studies & Testing, including: o Software-in-the-Loop (SIL) o Dynamic performance studies o Protection coordination o Overall system integration 4. System Testing & Commissioning Conduct Integration System Test (IST), Functional System Test (FST), Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and system commissioning at customer sites. Lead root cause analysis and troubleshooting of complex VSC control and protection issues. 5. Team Development & Mentorship Provide technical guidance, mentorship, and knowledge transfer to junior engineers. Support managers in building high-performing, resilient teams. Recruit, develop, and mentor engineering talent to enhance organizational capability. 6. Process Improvement & Operational Excellence Identify and implement improvements in engineering tools, processes, systems, and technical solutions to enhance customer value and operational efficiency. Make informed decisions regarding work processes, schedules, priorities, and operational plans to achieve departmental objectives. Uphold and promote SQDC principles across teams. Required Qualifications Education: Degree in Electronics/Electrical Engineering or equivalent proven experience in HVDC systems. Experience: Minimum 12 years in HVDC control and protection system design. Technical Expertise: HVDC Control, Protection, and Sequencing strategies. Dynamic performance studies and system modelling for VSC-HVDC schemes. Proficiency in PSCAD and MATLAB/Simulink. Leadership & Communication: Strong technical leadership experience. Ability to understand and communicate customer requirements effectively. Ownership of technical discussions and ability to develop strong client relationships. Cross-Functional Collaboration: Active participation in cross-functional leadership teams. Makes independent decisions while engaging subject-matter experts as needed. Additional Information Relocation Assistance Provided: No
24/06/2026
Full time
Job Description Summary Job Profile Summary The Senior Control & Protection System Application Engineer is responsible for the requirement definition, design, studies, validation, and commissioning of Control & Protection Systems for VSC-based HVDC transmission schemes, including MMC converter technology. This position requires deep expertise in HVDC Control & Protection, strong technical leadership, and the ability to drive reference solutions, process improvements, and consistent technical quality across multi-disciplinary, international engineering teams. Key responsibilities include Team development, engineering governance, technical oversight, implementation of lessons learned, and strong adherence to Safety, Quality, Delivery, and Cost (SQDC) principles. Job Description Roles and Responsibilities 1. Technical Leadership & Oversight Oversee the overall technical solution, ensuring customer requirements are met based on reference solutions. Lead requirements gathering, system design, implementation, and development of HVDC Control & Protection systems. Review and approve technical documents, including control/protection settings, manuals, test plans, and test procedures. Serve as the primary customer interface for technical discussions, training, and requirement clarification. 2. Control System & Protection Design Define control philosophies, protection and interlocking logics, and data exchange configurations. Lead and participate in engineering design processes, including design reviews and approval cycles. Ensure that all design outputs comply with industry standards, system requirements, and quality procedures. 3. Advanced Modelling & Simulation Conduct Electromagnetic Transient (EMT) studies using PSCAD, EMTP-RV, and model control/protection functions in MATLAB/Simulink. Perform network conversion, modelling, tuning, and verification using PSSE, PSCAD, and RSCAD. Develop full plant/system models and lead end-to-end validation across multiple simulation platforms. Lead Control System Studies & Testing, including: o Software-in-the-Loop (SIL) o Dynamic performance studies o Protection coordination o Overall system integration 4. System Testing & Commissioning Conduct Integration System Test (IST), Functional System Test (FST), Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and system commissioning at customer sites. Lead root cause analysis and troubleshooting of complex VSC control and protection issues. 5. Team Development & Mentorship Provide technical guidance, mentorship, and knowledge transfer to junior engineers. Support managers in building high-performing, resilient teams. Recruit, develop, and mentor engineering talent to enhance organizational capability. 6. Process Improvement & Operational Excellence Identify and implement improvements in engineering tools, processes, systems, and technical solutions to enhance customer value and operational efficiency. Make informed decisions regarding work processes, schedules, priorities, and operational plans to achieve departmental objectives. Uphold and promote SQDC principles across teams. Required Qualifications Education: Degree in Electronics/Electrical Engineering or equivalent proven experience in HVDC systems. Experience: Minimum 12 years in HVDC control and protection system design. Technical Expertise: HVDC Control, Protection, and Sequencing strategies. Dynamic performance studies and system modelling for VSC-HVDC schemes. Proficiency in PSCAD and MATLAB/Simulink. Leadership & Communication: Strong technical leadership experience. Ability to understand and communicate customer requirements effectively. Ownership of technical discussions and ability to develop strong client relationships. Cross-Functional Collaboration: Active participation in cross-functional leadership teams. Makes independent decisions while engaging subject-matter experts as needed. Additional Information Relocation Assistance Provided: No
Job Description Summary Job Profile Summary The Senior Control & Protection System Application Engineer is responsible for the requirement definition, design, studies, validation, and commissioning of Control & Protection Systems for VSC-based HVDC transmission schemes, including MMC converter technology. This position requires deep expertise in HVDC Control & Protection, strong technical leadership, and the ability to drive reference solutions, process improvements, and consistent technical quality across multi-disciplinary, international engineering teams. Key responsibilities include Team development, engineering governance, technical oversight, implementation of lessons learned, and strong adherence to Safety, Quality, Delivery, and Cost (SQDC) principles. Job Description Roles and Responsibilities 1. Technical Leadership & Oversight Oversee the overall technical solution, ensuring customer requirements are met based on reference solutions. Lead requirements gathering, system design, implementation, and development of HVDC Control & Protection systems. Review and approve technical documents, including control/protection settings, manuals, test plans, and test procedures. Serve as the primary customer interface for technical discussions, training, and requirement clarification. 2. Control System & Protection Design Define control philosophies, protection and interlocking logics, and data exchange configurations. Lead and participate in engineering design processes, including design reviews and approval cycles. Ensure that all design outputs comply with industry standards, system requirements, and quality procedures. 3. Advanced Modelling & Simulation Conduct Electromagnetic Transient (EMT) studies using PSCAD, EMTP-RV, and model control/protection functions in MATLAB/Simulink. Perform network conversion, modelling, tuning, and verification using PSSE, PSCAD, and RSCAD. Develop full plant/system models and lead end-to-end validation across multiple simulation platforms. Lead Control System Studies & Testing, including: o Software-in-the-Loop (SIL) o Dynamic performance studies o Protection coordination o Overall system integration 4. System Testing & Commissioning Conduct Integration System Test (IST), Functional System Test (FST), Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and system commissioning at customer sites. Lead root cause analysis and troubleshooting of complex VSC control and protection issues. 5. Team Development & Mentorship Provide technical guidance, mentorship, and knowledge transfer to junior engineers. Support managers in building high-performing, resilient teams. Recruit, develop, and mentor engineering talent to enhance organizational capability. 6. Process Improvement & Operational Excellence Identify and implement improvements in engineering tools, processes, systems, and technical solutions to enhance customer value and operational efficiency. Make informed decisions regarding work processes, schedules, priorities, and operational plans to achieve departmental objectives. Uphold and promote SQDC principles across teams. Required Qualifications Education: Degree in Electronics/Electrical Engineering or equivalent proven experience in HVDC systems. Experience: Minimum 12 years in HVDC control and protection system design. Technical Expertise: HVDC Control, Protection, and Sequencing strategies. Dynamic performance studies and system modelling for VSC-HVDC schemes. Proficiency in PSCAD and MATLAB/Simulink. Leadership & Communication: Strong technical leadership experience. Ability to understand and communicate customer requirements effectively. Ownership of technical discussions and ability to develop strong client relationships. Cross-Functional Collaboration: Active participation in cross-functional leadership teams. Makes independent decisions while engaging subject-matter experts as needed. Additional Information Relocation Assistance Provided: No
24/06/2026
Full time
Job Description Summary Job Profile Summary The Senior Control & Protection System Application Engineer is responsible for the requirement definition, design, studies, validation, and commissioning of Control & Protection Systems for VSC-based HVDC transmission schemes, including MMC converter technology. This position requires deep expertise in HVDC Control & Protection, strong technical leadership, and the ability to drive reference solutions, process improvements, and consistent technical quality across multi-disciplinary, international engineering teams. Key responsibilities include Team development, engineering governance, technical oversight, implementation of lessons learned, and strong adherence to Safety, Quality, Delivery, and Cost (SQDC) principles. Job Description Roles and Responsibilities 1. Technical Leadership & Oversight Oversee the overall technical solution, ensuring customer requirements are met based on reference solutions. Lead requirements gathering, system design, implementation, and development of HVDC Control & Protection systems. Review and approve technical documents, including control/protection settings, manuals, test plans, and test procedures. Serve as the primary customer interface for technical discussions, training, and requirement clarification. 2. Control System & Protection Design Define control philosophies, protection and interlocking logics, and data exchange configurations. Lead and participate in engineering design processes, including design reviews and approval cycles. Ensure that all design outputs comply with industry standards, system requirements, and quality procedures. 3. Advanced Modelling & Simulation Conduct Electromagnetic Transient (EMT) studies using PSCAD, EMTP-RV, and model control/protection functions in MATLAB/Simulink. Perform network conversion, modelling, tuning, and verification using PSSE, PSCAD, and RSCAD. Develop full plant/system models and lead end-to-end validation across multiple simulation platforms. Lead Control System Studies & Testing, including: o Software-in-the-Loop (SIL) o Dynamic performance studies o Protection coordination o Overall system integration 4. System Testing & Commissioning Conduct Integration System Test (IST), Functional System Test (FST), Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and system commissioning at customer sites. Lead root cause analysis and troubleshooting of complex VSC control and protection issues. 5. Team Development & Mentorship Provide technical guidance, mentorship, and knowledge transfer to junior engineers. Support managers in building high-performing, resilient teams. Recruit, develop, and mentor engineering talent to enhance organizational capability. 6. Process Improvement & Operational Excellence Identify and implement improvements in engineering tools, processes, systems, and technical solutions to enhance customer value and operational efficiency. Make informed decisions regarding work processes, schedules, priorities, and operational plans to achieve departmental objectives. Uphold and promote SQDC principles across teams. Required Qualifications Education: Degree in Electronics/Electrical Engineering or equivalent proven experience in HVDC systems. Experience: Minimum 12 years in HVDC control and protection system design. Technical Expertise: HVDC Control, Protection, and Sequencing strategies. Dynamic performance studies and system modelling for VSC-HVDC schemes. Proficiency in PSCAD and MATLAB/Simulink. Leadership & Communication: Strong technical leadership experience. Ability to understand and communicate customer requirements effectively. Ownership of technical discussions and ability to develop strong client relationships. Cross-Functional Collaboration: Active participation in cross-functional leadership teams. Makes independent decisions while engaging subject-matter experts as needed. Additional Information Relocation Assistance Provided: No
About the Role Our client is hiring a Frontend Engineer / Full Stack Product Engineer to help build the software that their customers interact with directly, as they continue to scale their product and technology function. We have already recruited 3 individuals to the company and are pleased to be supporting them again on this key hire. This is not a standard frontend role. The business is looking for someone with strong frontend capability, but also enough full stack knowledge to work closely with leadership on the wider software build. They need someone who can operate with a high level of ownership, move quickly, and help shape both product and engineering direction in a growing business. Senior Frontend Engineer / Full Stack Product Engineer - Role Purpose We are looking for a Frontend Engineer / Full Stack Product Engineer to build the software that customers interact with directly, while also working in parallel with the wider software team on broader technical delivery. This person will be responsible for turning complex operational and commercial data into interfaces that are clear, reliable, and genuinely useful. The product includes energy-related workflows such as metering, billing, consumption, reporting, and asset performance, but the client is also very open to candidates who have built in similarly complex environments such as trading or fintech. You will own key customer-facing product areas, work closely with data and backend teams, engage directly with stakeholders, and help decide what to build, how to build it, and how to improve it over time. They are especially keen to find someone enthusiastic about AI and modern AI-powered development tools, as well as someone open to integrating AI agents and automation into the product over time. This is a highly visible role within a small team, so a junior mindset is unlikely to be the right fit. They need someone confident operating without heavy direction. Senior Frontend Engineer / Full Stack Product Engineer - Key Responsibilities 1. Build Customer Platforms Design and build the interfaces through which customers view and interact with complex business data, including consumption, billing, operational workflows, reporting, and asset-related information Take ownership of the frontend codebase, defining architecture, component structure, and engineering standards 2. Work Across the Stack Bring enough backend knowledge to work effectively alongside leadership on the software side Read APIs confidently, understand schemas, and contribute to broader technical decision-making 4. Help Shape Engineering Practice Set up component libraries, testing approaches, and development conventions that the team will build on Help create an environment that is easy to onboard into as the team and product grow 5. Embrace AI and Modern Development Tools Use AI-powered programming tools to improve speed, quality, and engineering output Show willingness to work with AI and integrate agent-based workflows into software where useful Contribute to a forward-thinking engineering culture that embraces modern tooling in a practical way 6. Stay Close to the Customer and the Market Engage directly with customers and internal stakeholders to understand how the product is being used and where it can improve Build a working understanding of the UK energy market and wider commercial context What We re Looking For Strong frontend fundamentals across HTML, CSS, JavaScript, and a modern framework, ideally React A track record of shipping customer-facing products and being able to demonstrate their impact Strong product instinct, with the ability to think beyond the brief and focus on what users actually need Enough backend knowledge to work effectively across the stack and contribute beyond pure UI delivery Someone who enjoys ownership, pace, and building from the ground up Genuine enthusiasm for AI, modern engineering tools, and the integration of AI into software products Nice to Have 3-5+ years building customer-facing software in a product-led, startup, or scale-up environment Experience with data visualisation libraries and presenting large, complex datasets clearly Exposure to energy, trading, fintech, utilities, or another technically complex B2B sector Experience setting up a frontend codebase from scratch Enough backend familiarity to read APIs, spot schema issues, and work effectively across the stack What You ll Get A highly owned role at the centre of what customers actually see and use The opportunity to shape a product from an early stage into something customers rely on Close collaboration with a small leadership team, with direct input into product and technical direction The chance to build expertise across energy data, customer software, AI-enabled development, and complex product delivery Why Join? This Frontend Engineer / Full Stack Product Engineer opportunity offers the chance to join a business at an exciting stage of growth, where one very strong hire can have a major impact.
24/06/2026
Full time
About the Role Our client is hiring a Frontend Engineer / Full Stack Product Engineer to help build the software that their customers interact with directly, as they continue to scale their product and technology function. We have already recruited 3 individuals to the company and are pleased to be supporting them again on this key hire. This is not a standard frontend role. The business is looking for someone with strong frontend capability, but also enough full stack knowledge to work closely with leadership on the wider software build. They need someone who can operate with a high level of ownership, move quickly, and help shape both product and engineering direction in a growing business. Senior Frontend Engineer / Full Stack Product Engineer - Role Purpose We are looking for a Frontend Engineer / Full Stack Product Engineer to build the software that customers interact with directly, while also working in parallel with the wider software team on broader technical delivery. This person will be responsible for turning complex operational and commercial data into interfaces that are clear, reliable, and genuinely useful. The product includes energy-related workflows such as metering, billing, consumption, reporting, and asset performance, but the client is also very open to candidates who have built in similarly complex environments such as trading or fintech. You will own key customer-facing product areas, work closely with data and backend teams, engage directly with stakeholders, and help decide what to build, how to build it, and how to improve it over time. They are especially keen to find someone enthusiastic about AI and modern AI-powered development tools, as well as someone open to integrating AI agents and automation into the product over time. This is a highly visible role within a small team, so a junior mindset is unlikely to be the right fit. They need someone confident operating without heavy direction. Senior Frontend Engineer / Full Stack Product Engineer - Key Responsibilities 1. Build Customer Platforms Design and build the interfaces through which customers view and interact with complex business data, including consumption, billing, operational workflows, reporting, and asset-related information Take ownership of the frontend codebase, defining architecture, component structure, and engineering standards 2. Work Across the Stack Bring enough backend knowledge to work effectively alongside leadership on the software side Read APIs confidently, understand schemas, and contribute to broader technical decision-making 4. Help Shape Engineering Practice Set up component libraries, testing approaches, and development conventions that the team will build on Help create an environment that is easy to onboard into as the team and product grow 5. Embrace AI and Modern Development Tools Use AI-powered programming tools to improve speed, quality, and engineering output Show willingness to work with AI and integrate agent-based workflows into software where useful Contribute to a forward-thinking engineering culture that embraces modern tooling in a practical way 6. Stay Close to the Customer and the Market Engage directly with customers and internal stakeholders to understand how the product is being used and where it can improve Build a working understanding of the UK energy market and wider commercial context What We re Looking For Strong frontend fundamentals across HTML, CSS, JavaScript, and a modern framework, ideally React A track record of shipping customer-facing products and being able to demonstrate their impact Strong product instinct, with the ability to think beyond the brief and focus on what users actually need Enough backend knowledge to work effectively across the stack and contribute beyond pure UI delivery Someone who enjoys ownership, pace, and building from the ground up Genuine enthusiasm for AI, modern engineering tools, and the integration of AI into software products Nice to Have 3-5+ years building customer-facing software in a product-led, startup, or scale-up environment Experience with data visualisation libraries and presenting large, complex datasets clearly Exposure to energy, trading, fintech, utilities, or another technically complex B2B sector Experience setting up a frontend codebase from scratch Enough backend familiarity to read APIs, spot schema issues, and work effectively across the stack What You ll Get A highly owned role at the centre of what customers actually see and use The opportunity to shape a product from an early stage into something customers rely on Close collaboration with a small leadership team, with direct input into product and technical direction The chance to build expertise across energy data, customer software, AI-enabled development, and complex product delivery Why Join? This Frontend Engineer / Full Stack Product Engineer opportunity offers the chance to join a business at an exciting stage of growth, where one very strong hire can have a major impact.
Senior Automation Test Engineer Contract - Rate (D.o.E) Sheffield - Hybrid (up to 3 days in office) Role Summary We are looking for a highly skilled Automation Test engineer with expertise in Identity and Access management (IAM) back-end validation. Skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on testing secure, scalable identity and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications. Using an automation first approach, you will collaborate closely with tech leads, Cloud Security, DevOps, and Application Engineering teams to thoroughly test robust IAM, identity lifecycle workflows, and secure service integrations that support enterprise-level cloud and Identity operations. Key Responsibilities Build and maintain an automated test framework and suites for API, event, and graph-based services (Python/PyTest). Define and execute test plans/cases/data aligned to requirements and technical specs; maintain FR/NFR traceability. Validate IAM concepts and access models (RBAC/ABAC/ReBAC/PBAC) and test decision points "as code" (policy-as-code). Perform API automation, contract testing, and replay/reprocessing scenarios. Validate graph data (nodes/relationships/hop logic) and event lineage/change behaviour. Experience in Neo4J is preferred. Produce regulatory evidence as required; support entry/exit criteria and test governance activities. Create/manage Jenkins pipelines to manage tests executions and reporting as part of CI/CD. Log, track, and drive defects through triage to closure (JIRA/ Zephyr); communicate progress to stakeholders. Collaborate with Cloud Security, DevOps, and Engineering teams; contribute to improving testability and quality. Skills required Deep IAM domain knowledge Solid experience of at least 3 years in a senior automation role, skilled in creating frameworks with strong coding experience e.g Java, Playwright, Python, Typescript, Cypher, Scala and API tooling (such as Insomnia, Apidog or Postman) Graph and event-driven validation Automation-first test experience Layered test architecture Risk-based test prioritisation RBAC / ABAC / ReBAC / PBAC OPA / Rego policy testing Policy explainability validation REST API automation, API Gateway testing, Batch ETL testing Consumer-driven contract testing Replay and reprocessing testing Graph data validation (Neo4j) Containerised test execution Cloud testing approaches and methodology, especially GCP, but also AWS, Azure, Entra, Ali Cloud and other systems such as ServiceNow, AD, ADLDS Some knowledge of JMeter, Gatling, LoadRunner, NeoLoad or similar tools for load, stress, and volume testing including any licensing requirements, configuration, dashboards and reporting Experience of testing graph database management systems (GDBMS) Graph platform engineering, Neo4j Basics GDBMS Performance Analysis Testing functions and decision points "As Code", such as Policy as code Extensive experience using JIRA and Xephyr tooling Good experience of executing defined test plans including coordination, tracking and reporting Positive team player working as part of the overall test team, Any exposure to SailPoint IdentityIQ, Identity warehousing, and working with protocols and formats for data ingestion such as SCIM, REST API, LDAP, OIDC and CSV DevOps & CI/CD Integration - Experience of GitOps Repos. Ability to integrate automation tests into GitLab CI/CD pipelines and implement shift-left testing practices Pub Sub and MQ
24/06/2026
Contractor
Senior Automation Test Engineer Contract - Rate (D.o.E) Sheffield - Hybrid (up to 3 days in office) Role Summary We are looking for a highly skilled Automation Test engineer with expertise in Identity and Access management (IAM) back-end validation. Skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on testing secure, scalable identity and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications. Using an automation first approach, you will collaborate closely with tech leads, Cloud Security, DevOps, and Application Engineering teams to thoroughly test robust IAM, identity lifecycle workflows, and secure service integrations that support enterprise-level cloud and Identity operations. Key Responsibilities Build and maintain an automated test framework and suites for API, event, and graph-based services (Python/PyTest). Define and execute test plans/cases/data aligned to requirements and technical specs; maintain FR/NFR traceability. Validate IAM concepts and access models (RBAC/ABAC/ReBAC/PBAC) and test decision points "as code" (policy-as-code). Perform API automation, contract testing, and replay/reprocessing scenarios. Validate graph data (nodes/relationships/hop logic) and event lineage/change behaviour. Experience in Neo4J is preferred. Produce regulatory evidence as required; support entry/exit criteria and test governance activities. Create/manage Jenkins pipelines to manage tests executions and reporting as part of CI/CD. Log, track, and drive defects through triage to closure (JIRA/ Zephyr); communicate progress to stakeholders. Collaborate with Cloud Security, DevOps, and Engineering teams; contribute to improving testability and quality. Skills required Deep IAM domain knowledge Solid experience of at least 3 years in a senior automation role, skilled in creating frameworks with strong coding experience e.g Java, Playwright, Python, Typescript, Cypher, Scala and API tooling (such as Insomnia, Apidog or Postman) Graph and event-driven validation Automation-first test experience Layered test architecture Risk-based test prioritisation RBAC / ABAC / ReBAC / PBAC OPA / Rego policy testing Policy explainability validation REST API automation, API Gateway testing, Batch ETL testing Consumer-driven contract testing Replay and reprocessing testing Graph data validation (Neo4j) Containerised test execution Cloud testing approaches and methodology, especially GCP, but also AWS, Azure, Entra, Ali Cloud and other systems such as ServiceNow, AD, ADLDS Some knowledge of JMeter, Gatling, LoadRunner, NeoLoad or similar tools for load, stress, and volume testing including any licensing requirements, configuration, dashboards and reporting Experience of testing graph database management systems (GDBMS) Graph platform engineering, Neo4j Basics GDBMS Performance Analysis Testing functions and decision points "As Code", such as Policy as code Extensive experience using JIRA and Xephyr tooling Good experience of executing defined test plans including coordination, tracking and reporting Positive team player working as part of the overall test team, Any exposure to SailPoint IdentityIQ, Identity warehousing, and working with protocols and formats for data ingestion such as SCIM, REST API, LDAP, OIDC and CSV DevOps & CI/CD Integration - Experience of GitOps Repos. Ability to integrate automation tests into GitLab CI/CD pipelines and implement shift-left testing practices Pub Sub and MQ
Software Engineer / Test Specialist (SDET, Safety Critical) Oxford (Hybrid, 2 days onsite per week) Highly competitive salary, open and negotiable About the Role We are looking for a Software Engineer / Test Specialist with strong experience in safety critical systems, focused on DO-178C and Verification and Validation (V&V). This is an opportunity to join an extremely well funded and well backed startup with a clear ambition to become a leading technology player in its field. The organisation is building next generation, AI led software systems where safety, reliability and certification are critical to success. You will play a key role in ensuring that advanced, AI-enabled software meets rigorous safety standards, combining traditional SDET responsibilities with deep involvement in safety assurance and certification activities. Key Responsibilities Lead and support V&V activities aligned with DO-178C objectives Develop and execute test strategies, test plans and certification artefacts Validate and assure AI driven and software intensive systems within safety critical frameworks Design and implement automated and manual testing approaches for complex, high integrity software Produce and review compliance documentation such as Software Verification Plans, test cases and verification reports Work closely with software, systems and AI/ML teams to ensure certification readiness Carry out requirements based testing and maintain full traceability using tools such as DOORS or Polarion Support regulatory audits and certification processes across safety critical programmes Identify defects, risks and non compliance issues and drive resolution Essential Experience Strong experience working in DO-178C or DO-178B environments Solid understanding of V&V processes within safety critical systems Background as an SDET, Software Test Engineer or Verification Engineer in regulated industries such as aerospace, defence, automotive or rail Experience testing complex software systems, ideally including AI or data driven components Hands on experience with test automation using Python, C, C++ or similar Experience with requirements traceability tools and test management systems Knowledge of software lifecycle processes in certified environments Desirable Skills Experience with assurance or testing of AI or machine learning based systems in regulated environments Experience across different Design Assurance Levels (DAL A to E) Exposure to model based development such as Simulink Experience with embedded systems or hardware in the loop testing Awareness of additional safety standards such as ARP4754A, ISO 26262 or IEC 61508 Working Arrangement Hybrid working with a minimum of 2 days per week onsite in Oxford. Flexible working options available. Why Join Work on genuinely safety critical, AI enabled systems with real world impact Join a highly ambitious startup with strong funding and backing Be part of a team aiming to become a leading technology player in its field Competitive and flexible salary depending on experience INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
24/06/2026
Full time
Software Engineer / Test Specialist (SDET, Safety Critical) Oxford (Hybrid, 2 days onsite per week) Highly competitive salary, open and negotiable About the Role We are looking for a Software Engineer / Test Specialist with strong experience in safety critical systems, focused on DO-178C and Verification and Validation (V&V). This is an opportunity to join an extremely well funded and well backed startup with a clear ambition to become a leading technology player in its field. The organisation is building next generation, AI led software systems where safety, reliability and certification are critical to success. You will play a key role in ensuring that advanced, AI-enabled software meets rigorous safety standards, combining traditional SDET responsibilities with deep involvement in safety assurance and certification activities. Key Responsibilities Lead and support V&V activities aligned with DO-178C objectives Develop and execute test strategies, test plans and certification artefacts Validate and assure AI driven and software intensive systems within safety critical frameworks Design and implement automated and manual testing approaches for complex, high integrity software Produce and review compliance documentation such as Software Verification Plans, test cases and verification reports Work closely with software, systems and AI/ML teams to ensure certification readiness Carry out requirements based testing and maintain full traceability using tools such as DOORS or Polarion Support regulatory audits and certification processes across safety critical programmes Identify defects, risks and non compliance issues and drive resolution Essential Experience Strong experience working in DO-178C or DO-178B environments Solid understanding of V&V processes within safety critical systems Background as an SDET, Software Test Engineer or Verification Engineer in regulated industries such as aerospace, defence, automotive or rail Experience testing complex software systems, ideally including AI or data driven components Hands on experience with test automation using Python, C, C++ or similar Experience with requirements traceability tools and test management systems Knowledge of software lifecycle processes in certified environments Desirable Skills Experience with assurance or testing of AI or machine learning based systems in regulated environments Experience across different Design Assurance Levels (DAL A to E) Exposure to model based development such as Simulink Experience with embedded systems or hardware in the loop testing Awareness of additional safety standards such as ARP4754A, ISO 26262 or IEC 61508 Working Arrangement Hybrid working with a minimum of 2 days per week onsite in Oxford. Flexible working options available. Why Join Work on genuinely safety critical, AI enabled systems with real world impact Join a highly ambitious startup with strong funding and backing Be part of a team aiming to become a leading technology player in its field Competitive and flexible salary depending on experience INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
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.
M&A Integration & Separation Architect Level: Principal Location: UK / Europe (travel as required) About Us You want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? Infosys Consulting is a global management consulting firm helping leading organisations navigate complex business and technology transformations. We operate in a high-growth, entrepreneurial environment, combining the agility of a boutique consultancy with the scale, engineering depth, and global reach of Infosys. At Infosys Consulting, we believe that real transformation happens at the intersection of business strategy and technology execution. Our approach brings together deep functional expertise, industry insight, and cutting-edge digital capabilities to deliver measurable outcomes. We work as one team across consulting and technology, enabling our clients to move from strategy to execution with speed, confidence, and accountability. About Your Role As an M&A Integration & Separation Architect , you will play a pivotal role in shaping and delivering complex transformation programmes driven by mergers, acquisitions, divestitures, and carve-outs. You will operate at the intersection of strategy, architecture, and execution, translating deal intent into robust, executable blueprints that enable successful business outcomes. You will own the definition of end-to-end integration and separation architectures , including Target Operating Models (TOM), transition states, and the technical and operational roadmap required to achieve them. Working across applications, infrastructure, data, identity, and business processes, you will ensure that solutions are not only strategically aligned but also feasible, scalable, and deliverable within the constraints of the deal. You will be engaged across the full M&A lifecycle - from pre-deal feasibility and technology due diligence, through Day 1 readiness and TSA design, to post-close stabilisation and value realisation. You will collaborate closely with client stakeholders, functional leads, and Infosys delivery teams to ensure seamless execution, while maintaining a clear focus on business continuity, risk mitigation, and value capture. This role requires a blend of strategic thinking, deep architecture expertise, and hands-on delivery leadership , as well as the ability to operate effectively in ambiguous, high-pressure environments where timelines are fixed and outcomes are critical Architecture Leadership & Design Define and own the end-to-end integration or separation architecture , including Target Operating Model, transition architectures, and phased delivery roadmap Translate deal thesis and business objectives into practical, executable architecture designs across applications, infrastructure, data, and processes Establish guiding principles, standards, and architectural guardrails to drive consistency across complex programmes M&A Lifecycle Delivery Lead pre-deal and pre-close activities , including technology due diligence, feasibility assessments, and identification of critical Day 1 risks and dependencies Support post-close execution , including stabilisation, TSA exit acceleration, and transition to target state Feasibility & Risk Management Assess feasibility of integration or separation plans across: - Enterprise applications and platforms - Infrastructure and cloud environments - Data and analytics architecture Identify key risks, constraints, and dependencies, and define pragmatic mitigation strategies aligned to deal timelines Cross-Functional Orchestration Work closely with functional workstream leads (IT, Finance, HR, Operations) to ensure alignment between architecture and business execution Act as a bridge between strategy and delivery teams, ensuring that designs are effectively implemented across Infosys and client delivery teams Support Integration Management Office (IMO) in aligning architecture decisions with programme governance and delivery milestones Stakeholder Engagement & Advisory Engage with senior client stakeholders to shape decisions, challenge assumptions, and provide expert guidance Facilitate workshops to define architecture direction, validate assumptions, and align cross-functional teams Articulate complex technical concepts in a clear and compelling way to both technical and non-technical audiences Practice Development & Thought Leadership Contribute to the development of Infosys Consulting's M&A propositions, methodologies, and assets (e.g., Day 1 toolkits, TSA frameworks, architecture patterns) Stay at the forefront of industry trends, including cloud transformation, AI-enabled operations, and digital platform integration in M&A contexts Coach and support junior team members, helping to build our growing M&A architecture capability Requirements Experience & Expertise Significant experience (6 + years ) in M&A integration, separation, or large-scale transformation programmes Proven track record of defining and delivering end-to-end architecture in complex, multi-workstream environments Strong experience across multiple architecture domains: - Enterprise applications (ERP, CRM, industry platforms) - Cloud and infrastructure (Azure, AWS, hybrid models) - Data and analytics - Identity and access management Hands-on experience with Day 1 planning, TSA structures, and post-merger integration or carve-out execution Strong consulting skillset with the ability to operate across strategy, design, and execution phases Experience working in fast-paced, high-pressure deal environments , managing ambiguity and fixed timelines Ability to manage and influence cross-functional and cross-geography teams within large programmes Demonstrated ability to engage and influence senior stakeholders , including CIOs, CTOs, and business leaders Ability to connect technology decisions to business value, deal rationale, and synergy outcomes Core Consulting Competencies Excellent problem-solving and structured thinking capabilities Experience supporting business development activities , including proposals, solution shaping, and client presentations is desirable Strong facilitation skills, with experience running client workshops and design sessions Ability to clearly articulate complex ideas through high-quality written and verbal communication Creative and inquisitive mindset, with the ability to challenge assumptions and develop innovative solutions The Team Our M&A practice is at the forefront of this ambition. We partner with corporate and private equity clients across the full deal lifecycle - from technology due diligence and pre-sign feasibility, through Day 1 readiness and Transaction Service Agreement (TSA) design, to post-close integration, separation, and value realisation. We act as an execution confidence partner , ensuring that deal intent is translated into practical, deliverable outcomes that maximise value and minimise risk. We bring a distinctive combination of advisory, architecture, and delivery orchestration, supported by Infosys' global delivery capability. Our teams work across applications, infrastructure, data, and business processes to enable seamless integration or separation, while maintaining business continuity and accelerating synergy realisation. We also leverage emerging technologies, automation, and AI-enabled insights to enhance decision-making and drive efficiency throughout the deal lifecycle. Joining our team means being part of a growing and differentiated M&A capability where you will work alongside experienced practitioners, contribute to building new propositions, and help shape how organisations execute some of their most critical and high-stakes transformations. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.
24/06/2026
Full time
M&A Integration & Separation Architect Level: Principal Location: UK / Europe (travel as required) About Us You want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? Infosys Consulting is a global management consulting firm helping leading organisations navigate complex business and technology transformations. We operate in a high-growth, entrepreneurial environment, combining the agility of a boutique consultancy with the scale, engineering depth, and global reach of Infosys. At Infosys Consulting, we believe that real transformation happens at the intersection of business strategy and technology execution. Our approach brings together deep functional expertise, industry insight, and cutting-edge digital capabilities to deliver measurable outcomes. We work as one team across consulting and technology, enabling our clients to move from strategy to execution with speed, confidence, and accountability. About Your Role As an M&A Integration & Separation Architect , you will play a pivotal role in shaping and delivering complex transformation programmes driven by mergers, acquisitions, divestitures, and carve-outs. You will operate at the intersection of strategy, architecture, and execution, translating deal intent into robust, executable blueprints that enable successful business outcomes. You will own the definition of end-to-end integration and separation architectures , including Target Operating Models (TOM), transition states, and the technical and operational roadmap required to achieve them. Working across applications, infrastructure, data, identity, and business processes, you will ensure that solutions are not only strategically aligned but also feasible, scalable, and deliverable within the constraints of the deal. You will be engaged across the full M&A lifecycle - from pre-deal feasibility and technology due diligence, through Day 1 readiness and TSA design, to post-close stabilisation and value realisation. You will collaborate closely with client stakeholders, functional leads, and Infosys delivery teams to ensure seamless execution, while maintaining a clear focus on business continuity, risk mitigation, and value capture. This role requires a blend of strategic thinking, deep architecture expertise, and hands-on delivery leadership , as well as the ability to operate effectively in ambiguous, high-pressure environments where timelines are fixed and outcomes are critical Architecture Leadership & Design Define and own the end-to-end integration or separation architecture , including Target Operating Model, transition architectures, and phased delivery roadmap Translate deal thesis and business objectives into practical, executable architecture designs across applications, infrastructure, data, and processes Establish guiding principles, standards, and architectural guardrails to drive consistency across complex programmes M&A Lifecycle Delivery Lead pre-deal and pre-close activities , including technology due diligence, feasibility assessments, and identification of critical Day 1 risks and dependencies Support post-close execution , including stabilisation, TSA exit acceleration, and transition to target state Feasibility & Risk Management Assess feasibility of integration or separation plans across: - Enterprise applications and platforms - Infrastructure and cloud environments - Data and analytics architecture Identify key risks, constraints, and dependencies, and define pragmatic mitigation strategies aligned to deal timelines Cross-Functional Orchestration Work closely with functional workstream leads (IT, Finance, HR, Operations) to ensure alignment between architecture and business execution Act as a bridge between strategy and delivery teams, ensuring that designs are effectively implemented across Infosys and client delivery teams Support Integration Management Office (IMO) in aligning architecture decisions with programme governance and delivery milestones Stakeholder Engagement & Advisory Engage with senior client stakeholders to shape decisions, challenge assumptions, and provide expert guidance Facilitate workshops to define architecture direction, validate assumptions, and align cross-functional teams Articulate complex technical concepts in a clear and compelling way to both technical and non-technical audiences Practice Development & Thought Leadership Contribute to the development of Infosys Consulting's M&A propositions, methodologies, and assets (e.g., Day 1 toolkits, TSA frameworks, architecture patterns) Stay at the forefront of industry trends, including cloud transformation, AI-enabled operations, and digital platform integration in M&A contexts Coach and support junior team members, helping to build our growing M&A architecture capability Requirements Experience & Expertise Significant experience (6 + years ) in M&A integration, separation, or large-scale transformation programmes Proven track record of defining and delivering end-to-end architecture in complex, multi-workstream environments Strong experience across multiple architecture domains: - Enterprise applications (ERP, CRM, industry platforms) - Cloud and infrastructure (Azure, AWS, hybrid models) - Data and analytics - Identity and access management Hands-on experience with Day 1 planning, TSA structures, and post-merger integration or carve-out execution Strong consulting skillset with the ability to operate across strategy, design, and execution phases Experience working in fast-paced, high-pressure deal environments , managing ambiguity and fixed timelines Ability to manage and influence cross-functional and cross-geography teams within large programmes Demonstrated ability to engage and influence senior stakeholders , including CIOs, CTOs, and business leaders Ability to connect technology decisions to business value, deal rationale, and synergy outcomes Core Consulting Competencies Excellent problem-solving and structured thinking capabilities Experience supporting business development activities , including proposals, solution shaping, and client presentations is desirable Strong facilitation skills, with experience running client workshops and design sessions Ability to clearly articulate complex ideas through high-quality written and verbal communication Creative and inquisitive mindset, with the ability to challenge assumptions and develop innovative solutions The Team Our M&A practice is at the forefront of this ambition. We partner with corporate and private equity clients across the full deal lifecycle - from technology due diligence and pre-sign feasibility, through Day 1 readiness and Transaction Service Agreement (TSA) design, to post-close integration, separation, and value realisation. We act as an execution confidence partner , ensuring that deal intent is translated into practical, deliverable outcomes that maximise value and minimise risk. We bring a distinctive combination of advisory, architecture, and delivery orchestration, supported by Infosys' global delivery capability. Our teams work across applications, infrastructure, data, and business processes to enable seamless integration or separation, while maintaining business continuity and accelerating synergy realisation. We also leverage emerging technologies, automation, and AI-enabled insights to enhance decision-making and drive efficiency throughout the deal lifecycle. Joining our team means being part of a growing and differentiated M&A capability where you will work alongside experienced practitioners, contribute to building new propositions, and help shape how organisations execute some of their most critical and high-stakes transformations. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.
Senior Solution Architect - Enterprise Transformation Location: London Area (Hybrid - Central London Office 2 / 3 days per week) Job Type: Full-time, Permanent Salary: 90,(Apply online only),000 About Our Client Our client is a highly respected global digital transformation and analytics consultancy. Known for delivering deep operational insights to high growth and heavily regulated industries, they have recently undergone significant expansion, creating massive opportunities for career progression. They pride themselves on a people-first culture, investing heavily in their teams to ensure both personal development and exceptional delivery for their impressive enterprise client base. The Role We are seeking a seasoned Senior Solution Architect to spearhead the architectural design for a massive, multi-stream enterprise modernisation programme. In this pivotal role, you will hold design authority over a variety of concurrent, business critical projects that span corporate operations, risk mitigation, human capital management, and project portfolio functions. Your main objective will be shaping end-to-end ecosystems that ensure seamless connectivity between core business applications, modern platforms, and underlying data frameworks. Key Responsibilities End-to-End Design: Own the overarching solution architecture across a diverse portfolio of concurrent corporate projects. Integration Frameworks: Formulate modern connectivity strategies, focusing heavily on API-first designs, automated workflows, and robust system interfaces. Cross-Functional Alignment: Act as the bridge between technical engineering squads, data governance, security experts, and C-suite stakeholders to turn business needs into reality. Standards & Compliance: Safeguard architectural integrity by ensuring all designs conform to strict enterprise governance, data security, and cloud compliance frameworks. Business Modernization: Guide the technical rollout of modern SaaS platforms and internal operational tooling. Core Ecosystem Microsoft Cloud Services (Azure ecosystem) Low-Code/No-Code Business Platforms & CRM/ERP frameworks Cloud Integration Services & API-driven architecture Large-scale Enterprise SaaS applications The Ideal Candidate Enterprise Expertise: A proven track record operating as a Solution Architect within intricate, large scale corporate environments. Integration Mastery: Strong background in connecting disparate business applications and handling complex data flows. Functional Exposure: Familiarity with corporate systems such as HRIS, payroll, risk evaluation, or centralized project management tools is highly advantageous. Delivery Agility: Proven capacity to manage architectural priorities across multiple fast-moving workstreams at once. Pragmatic Leadership: A highly consultative, hands-on professional with exceptional stakeholder management skills who focuses on business outcomes. What's on Offer? This is a chance to join an ambitious, scaling business where your architectural decisions will have high visibility and immediate impact. You will work on complex, modern tech stacks within a collaborative culture that actively supports your professional growth. How to Apply To discuss this opportunity in complete confidence, please submit your CV today.
24/06/2026
Full time
Senior Solution Architect - Enterprise Transformation Location: London Area (Hybrid - Central London Office 2 / 3 days per week) Job Type: Full-time, Permanent Salary: 90,(Apply online only),000 About Our Client Our client is a highly respected global digital transformation and analytics consultancy. Known for delivering deep operational insights to high growth and heavily regulated industries, they have recently undergone significant expansion, creating massive opportunities for career progression. They pride themselves on a people-first culture, investing heavily in their teams to ensure both personal development and exceptional delivery for their impressive enterprise client base. The Role We are seeking a seasoned Senior Solution Architect to spearhead the architectural design for a massive, multi-stream enterprise modernisation programme. In this pivotal role, you will hold design authority over a variety of concurrent, business critical projects that span corporate operations, risk mitigation, human capital management, and project portfolio functions. Your main objective will be shaping end-to-end ecosystems that ensure seamless connectivity between core business applications, modern platforms, and underlying data frameworks. Key Responsibilities End-to-End Design: Own the overarching solution architecture across a diverse portfolio of concurrent corporate projects. Integration Frameworks: Formulate modern connectivity strategies, focusing heavily on API-first designs, automated workflows, and robust system interfaces. Cross-Functional Alignment: Act as the bridge between technical engineering squads, data governance, security experts, and C-suite stakeholders to turn business needs into reality. Standards & Compliance: Safeguard architectural integrity by ensuring all designs conform to strict enterprise governance, data security, and cloud compliance frameworks. Business Modernization: Guide the technical rollout of modern SaaS platforms and internal operational tooling. Core Ecosystem Microsoft Cloud Services (Azure ecosystem) Low-Code/No-Code Business Platforms & CRM/ERP frameworks Cloud Integration Services & API-driven architecture Large-scale Enterprise SaaS applications The Ideal Candidate Enterprise Expertise: A proven track record operating as a Solution Architect within intricate, large scale corporate environments. Integration Mastery: Strong background in connecting disparate business applications and handling complex data flows. Functional Exposure: Familiarity with corporate systems such as HRIS, payroll, risk evaluation, or centralized project management tools is highly advantageous. Delivery Agility: Proven capacity to manage architectural priorities across multiple fast-moving workstreams at once. Pragmatic Leadership: A highly consultative, hands-on professional with exceptional stakeholder management skills who focuses on business outcomes. What's on Offer? This is a chance to join an ambitious, scaling business where your architectural decisions will have high visibility and immediate impact. You will work on complex, modern tech stacks within a collaborative culture that actively supports your professional growth. How to Apply To discuss this opportunity in complete confidence, please submit your CV today.
Currently recruiting a Senior Test Engineer for a company based within the aviation sector. Working with a strong team around you, this role will be pivotal in the supply of test scripting. The role will come naturally to an individual who has experience of dealing with testing software products and reporting when it does not meet the customer's needs. With a mix of both manual and automated testing, this role will suit an individual who has tested in both environments The purpose of the job is. To prepare test specs and test scripts To prepare records of the tests conducted To report where the software does not meet its specification. To prepare and maintain user documentation. Manager or the relevant Project Manager / Customer Service manager To evaluate customer's warranty claims and internally generated software problem reports To prepare data for customers as required by the relevant Lead Tester. To assist in the specification of functional and software requirements Technical requirements Experience with Jenkins, Python, Selenium, Playright Familiarity with the Windows family of operating systems Familiarity with current/modern testing techniques such as BDD. Ability to communicate ideas clearly to other team members across departments. Ability to produce supporting documentation to a good standard of written English. Technical information gathering and analysis skills. You will need to have: Experience of producing user documentation (i.e., User Manuals) ITSQB software testing qualification or equivalent. Ability to manage multiple concurrent activities maintaining focus on project deadlines. 5+ years proven experience as a Software Tester Experience in a variety of applications (desktop, mobile, web) including customer acceptance activities. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
24/06/2026
Full time
Currently recruiting a Senior Test Engineer for a company based within the aviation sector. Working with a strong team around you, this role will be pivotal in the supply of test scripting. The role will come naturally to an individual who has experience of dealing with testing software products and reporting when it does not meet the customer's needs. With a mix of both manual and automated testing, this role will suit an individual who has tested in both environments The purpose of the job is. To prepare test specs and test scripts To prepare records of the tests conducted To report where the software does not meet its specification. To prepare and maintain user documentation. Manager or the relevant Project Manager / Customer Service manager To evaluate customer's warranty claims and internally generated software problem reports To prepare data for customers as required by the relevant Lead Tester. To assist in the specification of functional and software requirements Technical requirements Experience with Jenkins, Python, Selenium, Playright Familiarity with the Windows family of operating systems Familiarity with current/modern testing techniques such as BDD. Ability to communicate ideas clearly to other team members across departments. Ability to produce supporting documentation to a good standard of written English. Technical information gathering and analysis skills. You will need to have: Experience of producing user documentation (i.e., User Manuals) ITSQB software testing qualification or equivalent. Ability to manage multiple concurrent activities maintaining focus on project deadlines. 5+ years proven experience as a Software Tester Experience in a variety of applications (desktop, mobile, web) including customer acceptance activities. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Senior Staff Engineer (Scala or Java) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Senior Staff Engineer . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Senior Staff Engineer, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala or Java or Python TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.
24/06/2026
Full time
Senior Staff Engineer (Scala or Java) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Senior Staff Engineer . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Senior Staff Engineer, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala or Java or Python TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.
