Staff Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape Research group strategy and culture in a significant way, especially in domains of expertise. Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. Define necessary profiles to execute this strategy. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. Own Research work-streams at a high-level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. The below activities in particular. Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: scientific computing; high-performance computing (CPU / GPU clusters); parallelised / distributed training for large / foundation models. 4 years of experience in a professional industry setting, where you have been instrumental in most of the below: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); employing cloud computing (on hyper scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; building or using C/C++ for computer vision, geometry processing, or scientific computing; following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container ising and orchestrating compute tasks (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
24/06/2026
Full time
Staff Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape Research group strategy and culture in a significant way, especially in domains of expertise. Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. Define necessary profiles to execute this strategy. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. Own Research work-streams at a high-level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. The below activities in particular. Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: scientific computing; high-performance computing (CPU / GPU clusters); parallelised / distributed training for large / foundation models. 4 years of experience in a professional industry setting, where you have been instrumental in most of the below: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); employing cloud computing (on hyper scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; building or using C/C++ for computer vision, geometry processing, or scientific computing; following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container ising and orchestrating compute tasks (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
The job you are looking for has been deleted or has expired. Here are some jobs that could be of interest. Find your next tech and IT Job or contract role. Deskptop Support Analyst Key Accountabilities: Assisting with overseeing the security aspects of the company / project IT set-up including websites that may be hosted internally or externally. Liaison with potential and confirmed collaborators and their IT support partners / staff in coming into and operating within the Manufacturing centre. Proactive assistance with the systems implementations projects to assist with a smooth implementation and roll out. Ensuring that all IT assets are properly controlled and software is correctly licensed and that acceptable service levels are maintained across all systems. Dealing with hardware issues, desktops, laptops, printers, and mobile devices both in person and remotely. Providing Desktop/Laptop support including the following technologies: Microsoft Office 365 products - Outlook, Word, Excel, Access, Internet Explorer, Windows 7, desktops, laptops, printers, networked copiers and others as assigned. Providing investigation, diagnosis, resolution and recovery for hardware / software problems. When unable to resolve, escalating in accordance with Help Desk escalation processes. Managing service requests, software installations, new computer setups, upgrades, etc. Providing enhancement request feedback to IT regarding technology environment and customer needs through the defined processes. Support of VoIP telephony and Android mobile phones. Working with TCP/IP and resolving general networking issues. Experience: Extensive IT/Commercial experience gained within a fast-paced environment? Experience of GAMP 5 and working within a GxP environment in providing superior customer service and support. Experience of working within a technical support position, covering Windows, Microsoft Office, Internet Explorer and various business applications within a fast-paced business environment. Proven experience of 1st/2nd and 3rd line infrastructure support. Knowledge of multiple desktop programs, configuration and debugging techniques, VoIP telephony systems, Mobile phone support, network technologies. Project management skills, including the ability to effectively deploy resources and manage multiple projects of diverse scopes in a cross-functional environment. Knowledge / Skills / Competencies: Highly motivated, pragmatic and practical with a strong work ethic and eye for detail with good problem resolution, judgement and decision making skills. Able to evaluate complex situations and find solutions for them in a professional manner. Ability to manage multiple and varied tasks and prioritize workload with attention to detail. Strong interpersonal and organizational skills, with the ability to successfully work both independently and effectively within a team. Excellent oral and written communication skills, including the ability to explain technology solutions to non-technology internal client base. A good team player, with strong organisational skills. Bachelor's or master's degree in computer science, information systems, business administration or related field; or equivalent work experience. The position is based in Stevenage. Salary will be £32K - £35K. Please send your CV in Word format along with your salary and availability. Start date As soon as possible IT Support Technician Purpose The role of IT Support Technician will lead and manage all day-to-day ICT 2 and 3 line support activities for multiple schools as directed by the ICT Network Manager and/or ICT Schools Manager. The Support Technician will liaise with Head Office and School staff, the IT Service Desk and other 3 line support teams to identify, prioritise, own and resolve all IT support and service requests. Key Responsibilities Provide 2 and 3 line support to UK staff, schools staff and students Carry out routine maintenance of all computer hardware and network services to maintain agreed availability. Respond to and resolve IT faults and requests through onsite visits and remote support tools to agreed service levels. Install and configure approved computer hardware and licensed software, following agreed policies and procedures. Maintain site documentation, including hardware and software inventories, to ensure accuracy of information, legal and financial compliance. Manage staff and student user accounts following agreed policies and procedures. Monitor and maintain server back-ups to ensure system and user data is protected and secure. Monitor IT (physical and network) security and report any risks or incidents to School Head teachers, Network Manager or Schools IT Manager Any other reasonably requested duties Person Specification Exceptional customer service and communication skills, including written and verbal. Excellent interpersonal skills including communicating effectively and professionally with people at all levels of the organization. Effective communication skills in a technical respect with other IT professionals, and in non-technical terms with other colleagues Self-motivation, effective time management and the ability to work unsupervised. Must be able to use initiative and work under pressure, consistently employing a customer centric approach to resolving all IT issues. Demonstrable methodical problem solving, excellent analytical skills and creative thinking. Able to demonstrate good judgement and decision-making skills in resolving issues in challenging situations, knowing when to sign post, escalate and resolve issues. Experience in establishing new processes and procedures as well as following those already in place and always looking for improvements. A desire to, and demonstrable experience of supporting teaching and learning Effective engagement with IT service partners and 3rd parties Technical Skills Windows Server 2012/2016/2019 Windows 10 Active Directory support Office365 LAN & WAN technologies and protocols, including VLAN, wireless, DNS and DHCP. SIMS.net and SOLUS3 support Mobile device support including Apple, Windows, and Android tablets AV and interactive boards and screens Shared printing solutions Desktop/Server Hardware support and troubleshooting Apple device management and support Experience Flexible working, travel to support multiple sites/offices. Experience of working in a Service Desk environment (2nd or 3rd line support role) Experience of working in the education or similar sector is preferable. ITIL preferred but not essential. Key Competencies Role Specific Work Planning and Scheduling Time Management Listening and Organisation Training, Mentoring and Delegating Problem Identification and Solution Process Improvement Safeguarding Responsibilities To comply with safeguarding policies, procedures and code of conduct To demonstrate a personal commitment to safeguarding and student/colleague wellbeing To ensure that any safeguarding concerns or incidents are reported appropriately in line with policy. To engage in safeguarding training when required This will be a 2 to 3 months contract initially. The position will be in North London. Please do send your CV to us in Word format along with your daily rate and availability. 3 Level Treasury Systems Support with FIS Integrity Treasury Application Our Client is looking to recruit a Level 3 Treasury Systems Specialist will be responsible for the configuration, integrity, and controlled evolution of the Treasury Management System and its integrations, ensuring that all system changes are delivered safely, efficiently, and aligned to Treasury requirements. Technical Platform Management & Treasury System Integrity. Ensures integrity, resilience, and controlled operation of the Treasury platform, safeguarding payment execution, liquidity visibility, risk processing, and accounting accuracy. Configure and maintain FIS Integrity TMS workflows, parameters, and reference data Manage integration architecture across banks, trading platforms, ERP, and market data providers Ensure system configuration aligns with Treasury processes, control standards, and SaaS constraints Maintain technical documentation and configuration baseline to support audit and traceability Complex Issue Resolution & Treasury Risk Containment Contains and resolves high impact issues that threaten Treasury operational integrity, financial risk exposure, or regulatory compliance. Diagnose and resolve high severity system and integration issues Perform cross system root cause analysis covering data, configuration, and integration layers Implement corrective and preventative actions to reduce recurrence of Treasury impacting incidents Analyse incident trends to strengthen platform resilience and reduce operational risk Release & Regression Governance with Treasury Assurance Protects Treasury outcomes during change by ensuring releases are safe, controlled, and aligned to business risk. Define regression testing scope based on Treasury risk and process criticality Validate system changes prior to release against technical and control criteria Approve production deployments and technical release readiness Ensure release execution meets governance, audit, and SaaS requirements Controls, Configuration & Audit Governance Ensures Treasury systems remain audit ready, controlled, and compliant with segregation of duties and access policies. Maintain configuration standards and SoD controls Monitor system access and privileged configuration changes Support internal and external audits with traceable configuration and change evidence Ensure ongoing compliance with Company control and governance framework Enhancements & Project Delivery Supporting Treasury Outcomes Delivers platform enhancements that improve Treasury efficiency, accuracy, and control without introducing operational risk . click apply for full job details
24/06/2026
Full time
The job you are looking for has been deleted or has expired. Here are some jobs that could be of interest. Find your next tech and IT Job or contract role. Deskptop Support Analyst Key Accountabilities: Assisting with overseeing the security aspects of the company / project IT set-up including websites that may be hosted internally or externally. Liaison with potential and confirmed collaborators and their IT support partners / staff in coming into and operating within the Manufacturing centre. Proactive assistance with the systems implementations projects to assist with a smooth implementation and roll out. Ensuring that all IT assets are properly controlled and software is correctly licensed and that acceptable service levels are maintained across all systems. Dealing with hardware issues, desktops, laptops, printers, and mobile devices both in person and remotely. Providing Desktop/Laptop support including the following technologies: Microsoft Office 365 products - Outlook, Word, Excel, Access, Internet Explorer, Windows 7, desktops, laptops, printers, networked copiers and others as assigned. Providing investigation, diagnosis, resolution and recovery for hardware / software problems. When unable to resolve, escalating in accordance with Help Desk escalation processes. Managing service requests, software installations, new computer setups, upgrades, etc. Providing enhancement request feedback to IT regarding technology environment and customer needs through the defined processes. Support of VoIP telephony and Android mobile phones. Working with TCP/IP and resolving general networking issues. Experience: Extensive IT/Commercial experience gained within a fast-paced environment? Experience of GAMP 5 and working within a GxP environment in providing superior customer service and support. Experience of working within a technical support position, covering Windows, Microsoft Office, Internet Explorer and various business applications within a fast-paced business environment. Proven experience of 1st/2nd and 3rd line infrastructure support. Knowledge of multiple desktop programs, configuration and debugging techniques, VoIP telephony systems, Mobile phone support, network technologies. Project management skills, including the ability to effectively deploy resources and manage multiple projects of diverse scopes in a cross-functional environment. Knowledge / Skills / Competencies: Highly motivated, pragmatic and practical with a strong work ethic and eye for detail with good problem resolution, judgement and decision making skills. Able to evaluate complex situations and find solutions for them in a professional manner. Ability to manage multiple and varied tasks and prioritize workload with attention to detail. Strong interpersonal and organizational skills, with the ability to successfully work both independently and effectively within a team. Excellent oral and written communication skills, including the ability to explain technology solutions to non-technology internal client base. A good team player, with strong organisational skills. Bachelor's or master's degree in computer science, information systems, business administration or related field; or equivalent work experience. The position is based in Stevenage. Salary will be £32K - £35K. Please send your CV in Word format along with your salary and availability. Start date As soon as possible IT Support Technician Purpose The role of IT Support Technician will lead and manage all day-to-day ICT 2 and 3 line support activities for multiple schools as directed by the ICT Network Manager and/or ICT Schools Manager. The Support Technician will liaise with Head Office and School staff, the IT Service Desk and other 3 line support teams to identify, prioritise, own and resolve all IT support and service requests. Key Responsibilities Provide 2 and 3 line support to UK staff, schools staff and students Carry out routine maintenance of all computer hardware and network services to maintain agreed availability. Respond to and resolve IT faults and requests through onsite visits and remote support tools to agreed service levels. Install and configure approved computer hardware and licensed software, following agreed policies and procedures. Maintain site documentation, including hardware and software inventories, to ensure accuracy of information, legal and financial compliance. Manage staff and student user accounts following agreed policies and procedures. Monitor and maintain server back-ups to ensure system and user data is protected and secure. Monitor IT (physical and network) security and report any risks or incidents to School Head teachers, Network Manager or Schools IT Manager Any other reasonably requested duties Person Specification Exceptional customer service and communication skills, including written and verbal. Excellent interpersonal skills including communicating effectively and professionally with people at all levels of the organization. Effective communication skills in a technical respect with other IT professionals, and in non-technical terms with other colleagues Self-motivation, effective time management and the ability to work unsupervised. Must be able to use initiative and work under pressure, consistently employing a customer centric approach to resolving all IT issues. Demonstrable methodical problem solving, excellent analytical skills and creative thinking. Able to demonstrate good judgement and decision-making skills in resolving issues in challenging situations, knowing when to sign post, escalate and resolve issues. Experience in establishing new processes and procedures as well as following those already in place and always looking for improvements. A desire to, and demonstrable experience of supporting teaching and learning Effective engagement with IT service partners and 3rd parties Technical Skills Windows Server 2012/2016/2019 Windows 10 Active Directory support Office365 LAN & WAN technologies and protocols, including VLAN, wireless, DNS and DHCP. SIMS.net and SOLUS3 support Mobile device support including Apple, Windows, and Android tablets AV and interactive boards and screens Shared printing solutions Desktop/Server Hardware support and troubleshooting Apple device management and support Experience Flexible working, travel to support multiple sites/offices. Experience of working in a Service Desk environment (2nd or 3rd line support role) Experience of working in the education or similar sector is preferable. ITIL preferred but not essential. Key Competencies Role Specific Work Planning and Scheduling Time Management Listening and Organisation Training, Mentoring and Delegating Problem Identification and Solution Process Improvement Safeguarding Responsibilities To comply with safeguarding policies, procedures and code of conduct To demonstrate a personal commitment to safeguarding and student/colleague wellbeing To ensure that any safeguarding concerns or incidents are reported appropriately in line with policy. To engage in safeguarding training when required This will be a 2 to 3 months contract initially. The position will be in North London. Please do send your CV to us in Word format along with your daily rate and availability. 3 Level Treasury Systems Support with FIS Integrity Treasury Application Our Client is looking to recruit a Level 3 Treasury Systems Specialist will be responsible for the configuration, integrity, and controlled evolution of the Treasury Management System and its integrations, ensuring that all system changes are delivered safely, efficiently, and aligned to Treasury requirements. Technical Platform Management & Treasury System Integrity. Ensures integrity, resilience, and controlled operation of the Treasury platform, safeguarding payment execution, liquidity visibility, risk processing, and accounting accuracy. Configure and maintain FIS Integrity TMS workflows, parameters, and reference data Manage integration architecture across banks, trading platforms, ERP, and market data providers Ensure system configuration aligns with Treasury processes, control standards, and SaaS constraints Maintain technical documentation and configuration baseline to support audit and traceability Complex Issue Resolution & Treasury Risk Containment Contains and resolves high impact issues that threaten Treasury operational integrity, financial risk exposure, or regulatory compliance. Diagnose and resolve high severity system and integration issues Perform cross system root cause analysis covering data, configuration, and integration layers Implement corrective and preventative actions to reduce recurrence of Treasury impacting incidents Analyse incident trends to strengthen platform resilience and reduce operational risk Release & Regression Governance with Treasury Assurance Protects Treasury outcomes during change by ensuring releases are safe, controlled, and aligned to business risk. Define regression testing scope based on Treasury risk and process criticality Validate system changes prior to release against technical and control criteria Approve production deployments and technical release readiness Ensure release execution meets governance, audit, and SaaS requirements Controls, Configuration & Audit Governance Ensures Treasury systems remain audit ready, controlled, and compliant with segregation of duties and access policies. Maintain configuration standards and SoD controls Monitor system access and privileged configuration changes Support internal and external audits with traceable configuration and change evidence Ensure ongoing compliance with Company control and governance framework Enhancements & Project Delivery Supporting Treasury Outcomes Delivers platform enhancements that improve Treasury efficiency, accuracy, and control without introducing operational risk . click apply for full job details
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
23/06/2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
Senior Java Developer The Role We are seeking a seasoned Senior Java Developer to join our dynamic team. The ideal candidate should possess strong proficiency and hands on experience with Spring Boot and core frameworks integral to enterprise software development. A robust understanding of relational databases and SQL is crucial, alongside expertise in traditional web application and API development. Skills and experience with agile, event based architectures and data streaming technologies is also welcome.The candidate will be joining a team working on a greenfield project that will be used globally by UMG staff. It will involve use of web technologies, relational databases, API development and integration with other IT systems within UMG.If you are a proactive and experienced Java developer with a passion for leading teams and contributing to the broader development goals of the department, we invite you to apply and be part of our innovative and collaborative work environment. Key Responsibilities Own and lead the end to end delivery of major features or services Drive technical direction and long term roadmap Drive continuous improvement Master the business domain and customer workflows Champion and evangelise best practices Skills and Experience Must Have: Proficiency in Java, with a focus on Spring Boot and core enterprise frameworks Strong understanding of enterprise software development and key design patterns Extensive experience with relational databases, SQL and ORM frameworks Extensive experience with unit, integration and automation testing Experience with service oriented architectures and web service API development Expertise in cloud-based development (ideally AWS) and container technologies (e.g. Docker, Kubernetes) Experience with SCRUM Agile methodology Track record of leading projects end to end and shipping them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience / awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and innovative problem solving skills Experience leading development teams, able to demonstrate effective leadership skills Experience mentoring and guiding junior developers, fostering a collaborative and growth oriented environment Able to exhibit a keen interest in the broader scope of development within the department, as well as being proactive with plans to improve the existing platforms / implementations Strong communication and interpersonal skills Initiative and the ability to work independently and in a team Engage with colleagues to promote great software design and quality Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway) Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does. Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation. We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email .
23/06/2026
Full time
Senior Java Developer The Role We are seeking a seasoned Senior Java Developer to join our dynamic team. The ideal candidate should possess strong proficiency and hands on experience with Spring Boot and core frameworks integral to enterprise software development. A robust understanding of relational databases and SQL is crucial, alongside expertise in traditional web application and API development. Skills and experience with agile, event based architectures and data streaming technologies is also welcome.The candidate will be joining a team working on a greenfield project that will be used globally by UMG staff. It will involve use of web technologies, relational databases, API development and integration with other IT systems within UMG.If you are a proactive and experienced Java developer with a passion for leading teams and contributing to the broader development goals of the department, we invite you to apply and be part of our innovative and collaborative work environment. Key Responsibilities Own and lead the end to end delivery of major features or services Drive technical direction and long term roadmap Drive continuous improvement Master the business domain and customer workflows Champion and evangelise best practices Skills and Experience Must Have: Proficiency in Java, with a focus on Spring Boot and core enterprise frameworks Strong understanding of enterprise software development and key design patterns Extensive experience with relational databases, SQL and ORM frameworks Extensive experience with unit, integration and automation testing Experience with service oriented architectures and web service API development Expertise in cloud-based development (ideally AWS) and container technologies (e.g. Docker, Kubernetes) Experience with SCRUM Agile methodology Track record of leading projects end to end and shipping them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience / awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and innovative problem solving skills Experience leading development teams, able to demonstrate effective leadership skills Experience mentoring and guiding junior developers, fostering a collaborative and growth oriented environment Able to exhibit a keen interest in the broader scope of development within the department, as well as being proactive with plans to improve the existing platforms / implementations Strong communication and interpersonal skills Initiative and the ability to work independently and in a team Engage with colleagues to promote great software design and quality Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway) Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does. Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation. We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email .
About Euromonitor: Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. About the role: Reporting to the Director of Gen AI, the AI Knowledge Architect will be Euromonitor's foremost authority on AI knowledge systems - holding formal sign-off power over the tools, skills, and integrations that the entire organisation builds on. This is an exciting, newly created role at the start of a significant journey. You will define best practice from the ground up, establishing the frameworks and canonical skill catalogue that will shape how Euromonitor uses AI for years to come. The emphasis and scope of the role will grow as our agentic expertise deepens and AI capability spreads across the business. This is equally a role for a senior technical builder who governs as a consequence of deep expertise, and for a governance and standards leader who can get hands-on when it counts. What unites both profiles is genuine command of the technology and the vision to see where it is heading. This is a rare opportunity to define a discipline from first principles at a globally recognised intelligence brand. The full job specification - including detailed responsibilities and indicative time allocations - is available on request at the first stage of the process. If you are motivated by impact, intellectual challenge, and the chance to leave a lasting mark on how a world-class organisation uses AI, we would love to hear from you. What you'll be doing: Knowledge architecture and AI systems ( 25%) Develop and maintain deep expertise in the agentic entity set underpinning Euromonitor's AI capabilities: tool calls, connectors, APIs, MCP (Model Context Protocol), native and custom integrations, and computer and browser use Build in-depth command of system instructions and skills architecture - including how skills are invoked directly and indirectly, and how they can be chained into reliable end-to-end workflows Architect retrieval frameworks that ground AI outputs in verified, properly attributed Euromonitor data, designed to be platform- and framework-agnostic Governance, standards, and the AI skill catalogue ( 35%) Own and maintain Euromonitor's canonical AI skill catalogue - the quality-assured library of tools and integrations available across the organisation Apply a rigorous strategic value test: every skill must encode a proprietary Euromonitor way of working or draw from Euromonitor-specific data sources; generic capabilities that agents can replicate on the fly do not qualify Set contribution standards, version control, and deprecation policies - and embed proportionate security standards into the review process in partnership with Information Security Organisational AI enablement and culture-building ( 25%) Drive the cultural change needed to embed AI capability across all functions, designing the enablement architecture that allows teams at different levels of technical maturity to adopt AI confidently Identify, sponsor, and develop AI champions across the business - the long-term carriers of AI culture at Euromonitor Deliver proof-of-concept reference implementations that demonstrate best practice in design, documentation, and integration Cross-functional collaboration ( 15%) Serve as the expert voice on AI knowledge quality and system design in product planning, roadmap, and senior leadership forums Partner with Product, AI Engineering, and Research to ensure knowledge architecture decisions support Euromonitor's commercial and product ambitions What you'll bring: Deep practical understanding of how agentic AI platforms and large language models work - including system instruction design, skills architecture, tool calling, RAG, and connector protocols such as MCP Hands-on experience building or architecting AI skills and workflows, with a clear grasp of how skills can be chained for reliable end-to-end automation Experience curating shared tool libraries or platform standards, with the judgement to distinguish genuinely proprietary capabilities from generic ones Confident communication - able to write rigorous technical documentation, exercise formal catalogue authority with peers, and present strategic rationale to senior leadership Familiarity with knowledge and metadata management principles, regardless of specific platforms encountered Who you are: You are energised by building something from scratch in a fast-moving domain You see governance as a product of deep expertise, not a constraint on innovation You are equally comfortable setting an architectural standard and rolling up your sleeves to build a reference implementation You track the AI landscape with genuine curiosity - not just how the tools work today, but where they are going What you'll get: The opportunity to step into a brand new role and build something exciting from scratch Career growth opportunities as the role evolves significantly Be part of a truly global company with regular communication across all of our 16 global offices The ability to establish brand new frameworks and be an integral part of Euromonitor's history Why work for Euromonitor? Our Values: We seek individuals who act with integrity We look for candidates who are curious about the world We feel that as a community, we're stronger together We seek toenable people to feel empowered We welcome candidates who bring strength in diversity International: not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis. Hardworking and sociable: our staff know how to work hard and know also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of other groups to be involved with. Committed to making a difference: We believe that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It gives all new starters a donation amount on joining us which they can give to a charity of their choice. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights. Excellent benefits: we offer competitive salaries, generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times to each day. Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent. Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.
23/06/2026
Full time
About Euromonitor: Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. About the role: Reporting to the Director of Gen AI, the AI Knowledge Architect will be Euromonitor's foremost authority on AI knowledge systems - holding formal sign-off power over the tools, skills, and integrations that the entire organisation builds on. This is an exciting, newly created role at the start of a significant journey. You will define best practice from the ground up, establishing the frameworks and canonical skill catalogue that will shape how Euromonitor uses AI for years to come. The emphasis and scope of the role will grow as our agentic expertise deepens and AI capability spreads across the business. This is equally a role for a senior technical builder who governs as a consequence of deep expertise, and for a governance and standards leader who can get hands-on when it counts. What unites both profiles is genuine command of the technology and the vision to see where it is heading. This is a rare opportunity to define a discipline from first principles at a globally recognised intelligence brand. The full job specification - including detailed responsibilities and indicative time allocations - is available on request at the first stage of the process. If you are motivated by impact, intellectual challenge, and the chance to leave a lasting mark on how a world-class organisation uses AI, we would love to hear from you. What you'll be doing: Knowledge architecture and AI systems ( 25%) Develop and maintain deep expertise in the agentic entity set underpinning Euromonitor's AI capabilities: tool calls, connectors, APIs, MCP (Model Context Protocol), native and custom integrations, and computer and browser use Build in-depth command of system instructions and skills architecture - including how skills are invoked directly and indirectly, and how they can be chained into reliable end-to-end workflows Architect retrieval frameworks that ground AI outputs in verified, properly attributed Euromonitor data, designed to be platform- and framework-agnostic Governance, standards, and the AI skill catalogue ( 35%) Own and maintain Euromonitor's canonical AI skill catalogue - the quality-assured library of tools and integrations available across the organisation Apply a rigorous strategic value test: every skill must encode a proprietary Euromonitor way of working or draw from Euromonitor-specific data sources; generic capabilities that agents can replicate on the fly do not qualify Set contribution standards, version control, and deprecation policies - and embed proportionate security standards into the review process in partnership with Information Security Organisational AI enablement and culture-building ( 25%) Drive the cultural change needed to embed AI capability across all functions, designing the enablement architecture that allows teams at different levels of technical maturity to adopt AI confidently Identify, sponsor, and develop AI champions across the business - the long-term carriers of AI culture at Euromonitor Deliver proof-of-concept reference implementations that demonstrate best practice in design, documentation, and integration Cross-functional collaboration ( 15%) Serve as the expert voice on AI knowledge quality and system design in product planning, roadmap, and senior leadership forums Partner with Product, AI Engineering, and Research to ensure knowledge architecture decisions support Euromonitor's commercial and product ambitions What you'll bring: Deep practical understanding of how agentic AI platforms and large language models work - including system instruction design, skills architecture, tool calling, RAG, and connector protocols such as MCP Hands-on experience building or architecting AI skills and workflows, with a clear grasp of how skills can be chained for reliable end-to-end automation Experience curating shared tool libraries or platform standards, with the judgement to distinguish genuinely proprietary capabilities from generic ones Confident communication - able to write rigorous technical documentation, exercise formal catalogue authority with peers, and present strategic rationale to senior leadership Familiarity with knowledge and metadata management principles, regardless of specific platforms encountered Who you are: You are energised by building something from scratch in a fast-moving domain You see governance as a product of deep expertise, not a constraint on innovation You are equally comfortable setting an architectural standard and rolling up your sleeves to build a reference implementation You track the AI landscape with genuine curiosity - not just how the tools work today, but where they are going What you'll get: The opportunity to step into a brand new role and build something exciting from scratch Career growth opportunities as the role evolves significantly Be part of a truly global company with regular communication across all of our 16 global offices The ability to establish brand new frameworks and be an integral part of Euromonitor's history Why work for Euromonitor? Our Values: We seek individuals who act with integrity We look for candidates who are curious about the world We feel that as a community, we're stronger together We seek toenable people to feel empowered We welcome candidates who bring strength in diversity International: not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis. Hardworking and sociable: our staff know how to work hard and know also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of other groups to be involved with. Committed to making a difference: We believe that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It gives all new starters a donation amount on joining us which they can give to a charity of their choice. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights. Excellent benefits: we offer competitive salaries, generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times to each day. Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent. Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.
Salary: £24,000 - 64,000 per year Requirements: Demonstrable experience implementing IT systems, ideally finance or operational systems Experience in IT project management Data analysis, data cleansing, and data transfer skills Change management experience Strong communication skills Experience with relevant systems such as Maximo or SUN Ability to work confidently both independently and as part of a team Responsibilities: We will support our IT improvement programme, including the implementation and enhancement of Maximo and TOPI systems We will facilitate quick wins for our existing Maximo system following migration to a new service provider We will coordinate communication, change management, and training with site staff We will follow up on open actions related to Maximo improvements We will coordinate the project management and delivery of a potential new CMMS system for our site We will support the identification of user requirements, system needs, and implementation plans with our supplier and site teams We will support migration activities and data transfer from our existing system to a new CMMS We will ensure reporting requirements are delivered for site staff from the new CMMS We will coordinate the project management and delivery of our new finance system We will support the identification of user requirements, system needs, and implementation plans with our supplier and relevant site staff We will support integration and data transfer from our CMMS, finance service provider, and spreadsheets into the new finance system We will ensure reporting requirements are delivered for site staff from the new system We will coordinate communication, change management, and training for system changes We will coordinate the identification, prioritisation, and delivery of improvements to the TOPI system and related reporting We will identify, prioritise, and deliver improvements to other IT areas, including SharePoint and core spreadsheets such as P&L databases and generation models Technologies: CMMS Support SharePoint Power BI More: We are recruiting for an IT Systems Implementation Manager to join our team at TeesREP Biomass Power Plant in Teesside on a 12-month fixed term contract with a competitive salary, dependent on experience. TeesREP is the worlds largest purpose-built biomass power plant, with a capacity of 299MW supplying electrical power to the GB National Grid and the equivalent of around 600,000 homes. Over 200 people work at our site across operations, maintenance, engineering support, and local supplier partnerships. This role will play a key part in our IT improvement programme, supporting system enhancements, new system implementations, and broader digital improvement opportunities across the business. last updated 25 week of 2026
21/06/2026
Full time
Salary: £24,000 - 64,000 per year Requirements: Demonstrable experience implementing IT systems, ideally finance or operational systems Experience in IT project management Data analysis, data cleansing, and data transfer skills Change management experience Strong communication skills Experience with relevant systems such as Maximo or SUN Ability to work confidently both independently and as part of a team Responsibilities: We will support our IT improvement programme, including the implementation and enhancement of Maximo and TOPI systems We will facilitate quick wins for our existing Maximo system following migration to a new service provider We will coordinate communication, change management, and training with site staff We will follow up on open actions related to Maximo improvements We will coordinate the project management and delivery of a potential new CMMS system for our site We will support the identification of user requirements, system needs, and implementation plans with our supplier and site teams We will support migration activities and data transfer from our existing system to a new CMMS We will ensure reporting requirements are delivered for site staff from the new CMMS We will coordinate the project management and delivery of our new finance system We will support the identification of user requirements, system needs, and implementation plans with our supplier and relevant site staff We will support integration and data transfer from our CMMS, finance service provider, and spreadsheets into the new finance system We will ensure reporting requirements are delivered for site staff from the new system We will coordinate communication, change management, and training for system changes We will coordinate the identification, prioritisation, and delivery of improvements to the TOPI system and related reporting We will identify, prioritise, and deliver improvements to other IT areas, including SharePoint and core spreadsheets such as P&L databases and generation models Technologies: CMMS Support SharePoint Power BI More: We are recruiting for an IT Systems Implementation Manager to join our team at TeesREP Biomass Power Plant in Teesside on a 12-month fixed term contract with a competitive salary, dependent on experience. TeesREP is the worlds largest purpose-built biomass power plant, with a capacity of 299MW supplying electrical power to the GB National Grid and the equivalent of around 600,000 homes. Over 200 people work at our site across operations, maintenance, engineering support, and local supplier partnerships. This role will play a key part in our IT improvement programme, supporting system enhancements, new system implementations, and broader digital improvement opportunities across the business. last updated 25 week of 2026
Pricing Data ScientistApplylocations: GBR - London: Stafford, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: 356450 Primary Details Time Type: Full timeWorker Type: EmployeeThis role focuses on developing and deploying data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation. Pricing Data Scientist London/Stafford - Hybrid About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner.What if you could have a positive impact - at work and in the world? As part of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. The Opportunity As a Pricing Data Scientist at QBE, you will play a key role in shaping how we use data to drive smarter pricing decisions and deliver better outcomes for our customers. Sitting at the heart of our underwriting and pricing function, you'll combine advanced analytics with commercial insight to influence strategy, improve portfolio performance, and support innovation across the business. You'll work closely with stakeholders across underwriting, pricing, and data teams, helping translate complex data into clear, actionable insights while contributing to the development of next-generation pricing capabilities. Your new role Identify and prioritise high-value analytical opportunities that drive measurable improvements in pricing performance (including loss ratio, growth, and retention) Lead discussions with business stakeholders to identify how data science can improve decision-making and outcomes Develop and deploy predictive models to support pricing and underwriting decisions, including risk cost modelling, demand modelling, and price optimisation Translate model outputs into clear pricing recommendations and insights that influence underwriting and portfolio decisions Monitor and evaluate model performance, defining refresh and recalibration requirements Design and prototype analytical tools and applications for business users (e.g. underwriters, claims handlers) Work closely with data engineering and data platform teams to source, structure, and prepare data for modelling Lead the development of new analytical propositions to enhance core insurance functions Lead analytical projects and coordinate delivery across teams Mentor junior team members and support their development About you Insurance experience is preferred but not essential Strong knowledge of statistical / data mining methods and application in a business environment Good understanding of Data Science domain, statistical and analytical model development and implementations, proficient in GLMs, machine learning techniques and related disciplines Good understanding of data modelling techniques, tools/language - (preferably Python) . Good knowledge of visualization tools like PowerBI, Tableau etc. Experience of insurance pricing tools (such as Emblem and Radar) is preferred but not essential Skills: Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought LeadershipHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
19/06/2026
Full time
Pricing Data ScientistApplylocations: GBR - London: Stafford, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: 356450 Primary Details Time Type: Full timeWorker Type: EmployeeThis role focuses on developing and deploying data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation. Pricing Data Scientist London/Stafford - Hybrid About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner.What if you could have a positive impact - at work and in the world? As part of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. The Opportunity As a Pricing Data Scientist at QBE, you will play a key role in shaping how we use data to drive smarter pricing decisions and deliver better outcomes for our customers. Sitting at the heart of our underwriting and pricing function, you'll combine advanced analytics with commercial insight to influence strategy, improve portfolio performance, and support innovation across the business. You'll work closely with stakeholders across underwriting, pricing, and data teams, helping translate complex data into clear, actionable insights while contributing to the development of next-generation pricing capabilities. Your new role Identify and prioritise high-value analytical opportunities that drive measurable improvements in pricing performance (including loss ratio, growth, and retention) Lead discussions with business stakeholders to identify how data science can improve decision-making and outcomes Develop and deploy predictive models to support pricing and underwriting decisions, including risk cost modelling, demand modelling, and price optimisation Translate model outputs into clear pricing recommendations and insights that influence underwriting and portfolio decisions Monitor and evaluate model performance, defining refresh and recalibration requirements Design and prototype analytical tools and applications for business users (e.g. underwriters, claims handlers) Work closely with data engineering and data platform teams to source, structure, and prepare data for modelling Lead the development of new analytical propositions to enhance core insurance functions Lead analytical projects and coordinate delivery across teams Mentor junior team members and support their development About you Insurance experience is preferred but not essential Strong knowledge of statistical / data mining methods and application in a business environment Good understanding of Data Science domain, statistical and analytical model development and implementations, proficient in GLMs, machine learning techniques and related disciplines Good understanding of data modelling techniques, tools/language - (preferably Python) . Good knowledge of visualization tools like PowerBI, Tableau etc. Experience of insurance pricing tools (such as Emblem and Radar) is preferred but not essential Skills: Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought LeadershipHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Role Overview Primary Details: Time Type: full time, Worker Type: employee. Location: London / Stafford - Hybrid. Pricing Data Scientist: Develop and deploy data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation. Responsibilities Identify and prioritise high value analytical opportunities that drive measurable improvements in pricing performance (including loss ratio, growth, and retention). Lead discussions with business stakeholders to identify how data science can improve decision making and outcomes. Develop and deploy predictive models to support pricing and underwriting decisions, including risk cost modelling, demand modelling, and price optimisation. Translate model outputs into clear pricing recommendations and insights that influence underwriting and portfolio decisions. Monitor and evaluate model performance, defining refresh and recalibration requirements. Design and prototype analytical tools and applications for business users (e.g. underwriters, claims handlers). Work closely with data engineering and data platform teams to source, structure, and prepare data for modelling. Lead the development of new analytical propositions to enhance core insurance functions. Lead analytical projects and coordinate delivery across teams. Mentor junior team members and support their development. Qualifications Insurance experience is preferred but not essential. Strong knowledge of statistical / data mining methods and application in a business environment. Proficient in GLMs, machine learning techniques and related disciplines. Good understanding of data modelling techniques, tools/language - preferably Python. Experience with data science domain, statistical and analytical model development, and implementations. Good knowledge of visualization tools like PowerBI, Tableau, etc. Experience with insurance pricing tools (such as Emblem and Radar) is preferred but not essential. Strong communication, critical thinking, data visualization, financial products, innovation, intentional collaboration, teamwork, mentorship, research analysis, risk management, stakeholder management, and thought leadership. Equal Employment Opportunity QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
19/06/2026
Full time
Role Overview Primary Details: Time Type: full time, Worker Type: employee. Location: London / Stafford - Hybrid. Pricing Data Scientist: Develop and deploy data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation. Responsibilities Identify and prioritise high value analytical opportunities that drive measurable improvements in pricing performance (including loss ratio, growth, and retention). Lead discussions with business stakeholders to identify how data science can improve decision making and outcomes. Develop and deploy predictive models to support pricing and underwriting decisions, including risk cost modelling, demand modelling, and price optimisation. Translate model outputs into clear pricing recommendations and insights that influence underwriting and portfolio decisions. Monitor and evaluate model performance, defining refresh and recalibration requirements. Design and prototype analytical tools and applications for business users (e.g. underwriters, claims handlers). Work closely with data engineering and data platform teams to source, structure, and prepare data for modelling. Lead the development of new analytical propositions to enhance core insurance functions. Lead analytical projects and coordinate delivery across teams. Mentor junior team members and support their development. Qualifications Insurance experience is preferred but not essential. Strong knowledge of statistical / data mining methods and application in a business environment. Proficient in GLMs, machine learning techniques and related disciplines. Good understanding of data modelling techniques, tools/language - preferably Python. Experience with data science domain, statistical and analytical model development, and implementations. Good knowledge of visualization tools like PowerBI, Tableau, etc. Experience with insurance pricing tools (such as Emblem and Radar) is preferred but not essential. Strong communication, critical thinking, data visualization, financial products, innovation, intentional collaboration, teamwork, mentorship, research analysis, risk management, stakeholder management, and thought leadership. Equal Employment Opportunity QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Server and Storage Engineer We are looking for two highly skilled engineers to help ensure our server estate and associated infrastructure remain robust, secure, and well maintained. You'll support critical digital services used across Nottinghamshire and Derbyshire, directly contributing to the reliability and performance of systems that underpin patient care. Key Responsibilities: Technical implementation - Deliver efficient, cost effective system implementations while minimising disruption to patient care. Advanced troubleshooting - Investigate and diagnose complex server and infrastructure issues. Technical project management - Lead new system implementations from a technical perspective, ensuring smooth delivery and integration. Systems integration - Develop small scale software solutions to meet integration and automation needs. IT systems development - Help develop, manage, and control systems created by the Health Informatics Service for partner NHS organisations. You will be part of a team that underpins essential NHS services, ensuring clinicians and support staff have stable, secure systems for outstanding care. This is a chance to work with modern infrastructure and grow your technical expertise in a supportive environment. Person Specification Knowledge Requirements The ability to work on own initiative Ability to supervise staff Qualifications Degree, or HNC/D, or BTEC Microsoft Office Applications Email Platforms Microsoft Windows Server O/S current version Networking SQL Databases RDMS (any) Knowledge of at least one clinical system VCP Experience At least 5 years previous technical experience within IT at a senior technical level Contractual Must have own car and clean driving licence Take part in on call rota Able to work flexibly outside of normal working hours Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and requires a Disclosure to the Disclosure and Barring Service to check for any previous criminal convictions. Employer Name Sherwood Forest Hospitals NHS Foundation Trust Visa Sponsorship Not all of our roles are eligible for visa sponsorship. Refer to the shortage occupation list for eligible roles. Home Office guidance has changed as of 9th April; roles may not be eligible for sponsorship even if listed.
18/06/2026
Full time
Server and Storage Engineer We are looking for two highly skilled engineers to help ensure our server estate and associated infrastructure remain robust, secure, and well maintained. You'll support critical digital services used across Nottinghamshire and Derbyshire, directly contributing to the reliability and performance of systems that underpin patient care. Key Responsibilities: Technical implementation - Deliver efficient, cost effective system implementations while minimising disruption to patient care. Advanced troubleshooting - Investigate and diagnose complex server and infrastructure issues. Technical project management - Lead new system implementations from a technical perspective, ensuring smooth delivery and integration. Systems integration - Develop small scale software solutions to meet integration and automation needs. IT systems development - Help develop, manage, and control systems created by the Health Informatics Service for partner NHS organisations. You will be part of a team that underpins essential NHS services, ensuring clinicians and support staff have stable, secure systems for outstanding care. This is a chance to work with modern infrastructure and grow your technical expertise in a supportive environment. Person Specification Knowledge Requirements The ability to work on own initiative Ability to supervise staff Qualifications Degree, or HNC/D, or BTEC Microsoft Office Applications Email Platforms Microsoft Windows Server O/S current version Networking SQL Databases RDMS (any) Knowledge of at least one clinical system VCP Experience At least 5 years previous technical experience within IT at a senior technical level Contractual Must have own car and clean driving licence Take part in on call rota Able to work flexibly outside of normal working hours Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and requires a Disclosure to the Disclosure and Barring Service to check for any previous criminal convictions. Employer Name Sherwood Forest Hospitals NHS Foundation Trust Visa Sponsorship Not all of our roles are eligible for visa sponsorship. Refer to the shortage occupation list for eligible roles. Home Office guidance has changed as of 9th April; roles may not be eligible for sponsorship even if listed.
Primary Details Time Type: Full time Worker Type: Employee This role focuses on developing and deploying data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation. Pricing Data Scientist London/Stafford - Hybrid About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch. We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner. What if you could have a positive impact - at work and in the world? As part of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. The Opportunity As a Pricing Data Scientist at QBE, you will play a key role in shaping how we use data to drive smarter pricing decisions and deliver better outcomes for our customers. Sitting at the heart of our underwriting and pricing function, you'll combine advanced analytics with commercial insight to influence strategy, improve portfolio performance, and support innovation across the business. You'll work closely with stakeholders across underwriting, pricing, and data teams, helping translate complex data into clear, actionable insights while contributing to the development of next generation pricing capabilities. Responsibilities Identify and prioritise high value analytical opportunities that drive measurable improvements in pricing performance (including loss ratio, growth, and retention) Lead discussions with business stakeholders to identify how data science can improve decision making and outcomes Develop and deploy predictive models to support pricing and underwriting decisions, including risk cost modelling, demand modelling, and price optimisation Translate model outputs into clear pricing recommendations and insights that influence underwriting and portfolio decisions Monitor and evaluate model performance, defining refresh and recalibration requirements Design and prototype analytical tools and applications for business users (e.g. underwriters, claims handlers) Work closely with data engineering and data platform teams to source, structure, and prepare data for modelling Lead the development of new analytical propositions to enhance core insurance functions Lead analytical projects and coordinate delivery across teams Mentor junior team members and support their development Qualifications Insurance experience is preferred but not essential Strong knowledge of statistical / data mining methods and application in a business environment Good understanding of Data Science domain, statistical and analytical model development and implementations, proficient in GLMs, machine learning techniques and related disciplines Good understanding of data modelling techniques, tools/language - (preferably Python) Good knowledge of visualization tools like PowerBI, Tableau etc. Experience of insurance pricing tools (such as Emblem and Radar) is preferred but not essential Skills Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought Leadership Equal Employment Opportunity QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
18/06/2026
Full time
Primary Details Time Type: Full time Worker Type: Employee This role focuses on developing and deploying data science solutions to support SME commercial insurance pricing, underwriting decisions, and portfolio optimisation. Pricing Data Scientist London/Stafford - Hybrid About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch. We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner. What if you could have a positive impact - at work and in the world? As part of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. The Opportunity As a Pricing Data Scientist at QBE, you will play a key role in shaping how we use data to drive smarter pricing decisions and deliver better outcomes for our customers. Sitting at the heart of our underwriting and pricing function, you'll combine advanced analytics with commercial insight to influence strategy, improve portfolio performance, and support innovation across the business. You'll work closely with stakeholders across underwriting, pricing, and data teams, helping translate complex data into clear, actionable insights while contributing to the development of next generation pricing capabilities. Responsibilities Identify and prioritise high value analytical opportunities that drive measurable improvements in pricing performance (including loss ratio, growth, and retention) Lead discussions with business stakeholders to identify how data science can improve decision making and outcomes Develop and deploy predictive models to support pricing and underwriting decisions, including risk cost modelling, demand modelling, and price optimisation Translate model outputs into clear pricing recommendations and insights that influence underwriting and portfolio decisions Monitor and evaluate model performance, defining refresh and recalibration requirements Design and prototype analytical tools and applications for business users (e.g. underwriters, claims handlers) Work closely with data engineering and data platform teams to source, structure, and prepare data for modelling Lead the development of new analytical propositions to enhance core insurance functions Lead analytical projects and coordinate delivery across teams Mentor junior team members and support their development Qualifications Insurance experience is preferred but not essential Strong knowledge of statistical / data mining methods and application in a business environment Good understanding of Data Science domain, statistical and analytical model development and implementations, proficient in GLMs, machine learning techniques and related disciplines Good understanding of data modelling techniques, tools/language - (preferably Python) Good knowledge of visualization tools like PowerBI, Tableau etc. Experience of insurance pricing tools (such as Emblem and Radar) is preferred but not essential Skills Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought Leadership Equal Employment Opportunity QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Overview We are looking for a Staff Infrastructure Engineer to lead the technical direction and execution of balenaCloud's infrastructure and reliability architecture. As our customer base and device fleets expand globally, we need a dedicated technical lead to drive our transition into multi-region hosting and single-tenant dedicated instances, natively within Amazon Web Services (AWS). At balena, we don't have traditional managers or hierarchy; we rely on high levels of trust, autonomy, and alignment. You will be joining at the Staff Level (Tactical scope / Domain Leader). Given the company strategy (the Why), you define the Tactics and the What, design the How, and heavily participate in the Do. This role represents a dual leadership mandate: you will operate across both Infrastructure Engineering (planning for immense scale, multi-region hosting, and deep AWS automation) and Reliability Engineering (designing the observability tooling, defining operational procedures, and scaling the team's ability to debug and improve the system). Our infrastructure is deeply rooted in AWS, and we need an engineer who can drop in and be highly effective within this ecosystem immediately. Your Impact (Responsibilities) As a Staff Level engineer, you are one of the most experienced team members in your domain. You are not a "ticket solver"; you gain significant autonomy but own the responsibility for your architectural decisions. AWS-Native Architecture: Architect, automate, and optimize deeply integrated AWS environments. You will leverage the right AWS services to build a system that hosts balenaCloud reliably, delivering maximum performance and deep cost/resource optimization on a per-device basis. Infrastructure & Reliability: Bridge the gap between building for scale and running for stability. You will not only design the infrastructure but also drive the reliability practices for our growing systems, driving continuous improvement, robust feedback loops, and incident resilience. Architect for Massive B2B Scale: Design infrastructure capable of handling enterprise-level loads: billions of requests per week (>30 million/hour) and terabytes of data per day. Your mental model should align with massive B2B platforms rather than B2C media streaming. Multi-Region & Single-Tenant Hosting: Own the technical tactics and execution to deploy single-tenant, single-region balenaCloud instances (e.g., dedicated instances in the EU, Australia, US, or Japan) to satisfy strict customer data sovereignty needs. Kubernetes at Scale: Architect and manage multiple balenaCloud stacks simultaneously, overseeing the deployment and orchestration of many independent Kubernetes clusters for various customers. Decade-Long Reliability: We are responsible for physical devices in the real world that will stay deployed for decades. Short-term, fragile infrastructure solutions are unacceptable, as they risk rendering devices lost in the field. Your designs and implementations must meet our >10-year durability bar. Team Enablement & Async Collaboration: You will scale your knowledge across an overwhelmed engineering team. You will document, articulate, and demonstrate decision proposals based on objective facts and empirical evidence, minimizing the need for synchronous calls. Essential Qualifications Experience: Minimum of 6 years of highly relevant professional work experience in infrastructure and reliability engineering. Deep AWS Expertise: Proven, hands on mastery of the AWS ecosystem. You must be able to navigate, architect, and optimize AWS services with immediate effectiveness. Observability & Reliability: Deep understanding of Site Reliability Engineering principles. You have proven experience building highly usable observability tooling, metrics, and monitoring systems from the ground up to support high availability. Exceptional Documentation Skills: Strong, hands on ability to write clear, actionable, and maintainable technical documentation, scaling plans, and onboarding materials for the team. Distributed Systems: Proven experience in multiple geolocation hosting with distributed data and processing, specifically in multi tenant SaaS environments. Core Stack & Automation: Deep expertise with Kubernetes deployments at scale, managing massive PostgreSQL / RDS databases, and proven mastery of Infrastructure as Code and infrastructure automation. Scale Testing: Extensive experience in load and scale testing, specifically handling magnitudes of 10k-100k simultaneous connections. Remote & Async Communication: Fluent English. Intrinsic motivation to prioritize open, text based communication in a public knowledge base. You actively work to reduce synchronous call time to respect scarce overlapping hours across global time zones. Abstract Thinking: Ability to identify, research, and advocate for solutions to complicated problems with minimal technical guidance, working from a defined company strategy. Preferred Skills (Nice to Have) Compliance: Experience deploying solutions into special compliance environments (e.g., federal services, FedRAMP, GovCloud). AWS Certifications: High-level AWS certifications (e.g., AWS Certified Solutions Architect - Professional) are a strong bonus. What "Staff Level" Means for You To succeed in this role, you should fit the following profile based on our internal leveling guide (Tactical level / Domain Leader). Given: The Company Strategy and Environment (e.g., "We need to scale our AWS infrastructure to support dedicated regional hosting to satisfy global data sovereignty laws, while improving overall fleet reliability"). You: Define the What and the How (researching AWS networking options, advocating for a specific EKS cluster architecture, writing the scaling plans, observability specs, and IaC), and heavily participate in the Do (hands on coding and infrastructure provisioning). Enable: You elevate the entire company. You remove systemic friction, prevent architectural dead ends by identifying doomed approaches early, and mentor Domain Contributors. You back up your decision making with solid reasoning. You execute within architectural decisions that hold up over a 10+ year horizon, and raise flags early when tactics or designs threaten that durability. Benefits Competitive salary Autonomous vacation allowance 12 weeks of paid parental leave for new parents Equipment of your choice and hardware for side projects Books of your choice to help you in your work Annual company gathering in an international location, Balena Summit 2024 Working with a talented and globally distributed team Flexible schedules by default
18/06/2026
Full time
Overview We are looking for a Staff Infrastructure Engineer to lead the technical direction and execution of balenaCloud's infrastructure and reliability architecture. As our customer base and device fleets expand globally, we need a dedicated technical lead to drive our transition into multi-region hosting and single-tenant dedicated instances, natively within Amazon Web Services (AWS). At balena, we don't have traditional managers or hierarchy; we rely on high levels of trust, autonomy, and alignment. You will be joining at the Staff Level (Tactical scope / Domain Leader). Given the company strategy (the Why), you define the Tactics and the What, design the How, and heavily participate in the Do. This role represents a dual leadership mandate: you will operate across both Infrastructure Engineering (planning for immense scale, multi-region hosting, and deep AWS automation) and Reliability Engineering (designing the observability tooling, defining operational procedures, and scaling the team's ability to debug and improve the system). Our infrastructure is deeply rooted in AWS, and we need an engineer who can drop in and be highly effective within this ecosystem immediately. Your Impact (Responsibilities) As a Staff Level engineer, you are one of the most experienced team members in your domain. You are not a "ticket solver"; you gain significant autonomy but own the responsibility for your architectural decisions. AWS-Native Architecture: Architect, automate, and optimize deeply integrated AWS environments. You will leverage the right AWS services to build a system that hosts balenaCloud reliably, delivering maximum performance and deep cost/resource optimization on a per-device basis. Infrastructure & Reliability: Bridge the gap between building for scale and running for stability. You will not only design the infrastructure but also drive the reliability practices for our growing systems, driving continuous improvement, robust feedback loops, and incident resilience. Architect for Massive B2B Scale: Design infrastructure capable of handling enterprise-level loads: billions of requests per week (>30 million/hour) and terabytes of data per day. Your mental model should align with massive B2B platforms rather than B2C media streaming. Multi-Region & Single-Tenant Hosting: Own the technical tactics and execution to deploy single-tenant, single-region balenaCloud instances (e.g., dedicated instances in the EU, Australia, US, or Japan) to satisfy strict customer data sovereignty needs. Kubernetes at Scale: Architect and manage multiple balenaCloud stacks simultaneously, overseeing the deployment and orchestration of many independent Kubernetes clusters for various customers. Decade-Long Reliability: We are responsible for physical devices in the real world that will stay deployed for decades. Short-term, fragile infrastructure solutions are unacceptable, as they risk rendering devices lost in the field. Your designs and implementations must meet our >10-year durability bar. Team Enablement & Async Collaboration: You will scale your knowledge across an overwhelmed engineering team. You will document, articulate, and demonstrate decision proposals based on objective facts and empirical evidence, minimizing the need for synchronous calls. Essential Qualifications Experience: Minimum of 6 years of highly relevant professional work experience in infrastructure and reliability engineering. Deep AWS Expertise: Proven, hands on mastery of the AWS ecosystem. You must be able to navigate, architect, and optimize AWS services with immediate effectiveness. Observability & Reliability: Deep understanding of Site Reliability Engineering principles. You have proven experience building highly usable observability tooling, metrics, and monitoring systems from the ground up to support high availability. Exceptional Documentation Skills: Strong, hands on ability to write clear, actionable, and maintainable technical documentation, scaling plans, and onboarding materials for the team. Distributed Systems: Proven experience in multiple geolocation hosting with distributed data and processing, specifically in multi tenant SaaS environments. Core Stack & Automation: Deep expertise with Kubernetes deployments at scale, managing massive PostgreSQL / RDS databases, and proven mastery of Infrastructure as Code and infrastructure automation. Scale Testing: Extensive experience in load and scale testing, specifically handling magnitudes of 10k-100k simultaneous connections. Remote & Async Communication: Fluent English. Intrinsic motivation to prioritize open, text based communication in a public knowledge base. You actively work to reduce synchronous call time to respect scarce overlapping hours across global time zones. Abstract Thinking: Ability to identify, research, and advocate for solutions to complicated problems with minimal technical guidance, working from a defined company strategy. Preferred Skills (Nice to Have) Compliance: Experience deploying solutions into special compliance environments (e.g., federal services, FedRAMP, GovCloud). AWS Certifications: High-level AWS certifications (e.g., AWS Certified Solutions Architect - Professional) are a strong bonus. What "Staff Level" Means for You To succeed in this role, you should fit the following profile based on our internal leveling guide (Tactical level / Domain Leader). Given: The Company Strategy and Environment (e.g., "We need to scale our AWS infrastructure to support dedicated regional hosting to satisfy global data sovereignty laws, while improving overall fleet reliability"). You: Define the What and the How (researching AWS networking options, advocating for a specific EKS cluster architecture, writing the scaling plans, observability specs, and IaC), and heavily participate in the Do (hands on coding and infrastructure provisioning). Enable: You elevate the entire company. You remove systemic friction, prevent architectural dead ends by identifying doomed approaches early, and mentor Domain Contributors. You back up your decision making with solid reasoning. You execute within architectural decisions that hold up over a 10+ year horizon, and raise flags early when tactics or designs threaten that durability. Benefits Competitive salary Autonomous vacation allowance 12 weeks of paid parental leave for new parents Equipment of your choice and hardware for side projects Books of your choice to help you in your work Annual company gathering in an international location, Balena Summit 2024 Working with a talented and globally distributed team Flexible schedules by default
JD Sports- Head Office, Warwick House, Bury, Bury, United Kingdom Job Description Established in 1981 with a single store in the Northwest of England, the JD Group is a leading omni-channel retailer of Sports Fashion, Outdoors and Gyms with our colleagues working in stores across several retail fascias in many markets around the world. JD Sports Fashion Plc was listed on the London Stock Exchange in 1996 and has been a FTSE100 publicly quoted company since 2019 and continues to grow in the UK and internationally. We want to be the leading global omnichannel retailer in the sports and outdoor industry. To be a part of this successful company and help us to achieve this you will have the desire to ingrain our strategic goals of being a people led, innovative and customer focused organisation which provides operational excellence whilst identifying new areas of growth as part of our day to day objectives. JD has been embarking on a digital re platform initiative for MACH and EDA, with new SaaS providers being onboarded in a buy vs. build mindset. As a result, we are re architecting our platforms to enable our teams to focus on integrating these systems and power bespoke differentiating technology solutions that deliver secure, scalable, and cost optimised functionality and change at pace. As a technology expert for the given domain, and for current and emerging technologies, you will be one of the key team members responsible for the feasibility and technical execution of solutions for a specific product domain, providing eCommerce or Order Management capabilities within our technology stack. This will include technical ownership of the domain and its workloads, the security and quality of the implementations and all relevant integrations with SaaS platforms. Job Title - Principal Software Engineer Working hours - 40 What You'll Be Doing: As a Principal Software Engineer, you'll be doing the following: To work with PSE counterparts to oversee the design and execution of aligned technology solutions in line with the organisation's technology and engineering strategy To work with PSE counterparts and the Platform Services/DevOps team to ensure security, governance and quality guardrails are in place and adhered to To ensure tooling provided by the Platform Services team leverages all required engineering productivity, development and deployment tooling operating under a CI/CD methodology To work with PSE counterparts to devise policies and strategies pertaining to industry engineering standards and practices To manage the productivity and quality of internal and external engineering execution capability and capacity utilising metrics and data insights from our internal developer platform and work planning tools What We're Looking For: Good knowledge of AWS/cloud computing providers and technologies specific to the domain including API development, Serverless, NoSQL, containers Strong experience in GraphQL, Typescript and (IAC) Terraform Working experience with different architectural styles (MVC, event driven, pipes, and filters). The Company: The JD Group is a leading omnichannel retailer of Sports Fashion, Street & Premium Fashion, Outdoors and Gyms with over 60,000 colleagues over 3,400 stores across several retail fascia's in over 30 markets around the world. We are an equal opportunities employer who embraces and values differences. We recognise the importance of an inclusive workplace culture in which everyone can thrive irrespective of their background or identity. Benefits: Staff Discount on qualifying purchases across Group retail stores and online Discounted Gym membership Personal development opportunities to learn and develop at work Access to Apprenticeships and accredited qualifications Interested? If you are interested in this position, then press the Apply Now button. Due to the high volumes of applications our opportunities attract, it takes time to review them all. If you don't hear back within two weeks of your application, please consider your application to have been unsuccessful on this occasion. Applications that meet the skills criteria will be contacted for a 1st stage meeting with the talent team. Shortlisted candidates will then be invited to interview with the hiring manager.
15/06/2026
Full time
JD Sports- Head Office, Warwick House, Bury, Bury, United Kingdom Job Description Established in 1981 with a single store in the Northwest of England, the JD Group is a leading omni-channel retailer of Sports Fashion, Outdoors and Gyms with our colleagues working in stores across several retail fascias in many markets around the world. JD Sports Fashion Plc was listed on the London Stock Exchange in 1996 and has been a FTSE100 publicly quoted company since 2019 and continues to grow in the UK and internationally. We want to be the leading global omnichannel retailer in the sports and outdoor industry. To be a part of this successful company and help us to achieve this you will have the desire to ingrain our strategic goals of being a people led, innovative and customer focused organisation which provides operational excellence whilst identifying new areas of growth as part of our day to day objectives. JD has been embarking on a digital re platform initiative for MACH and EDA, with new SaaS providers being onboarded in a buy vs. build mindset. As a result, we are re architecting our platforms to enable our teams to focus on integrating these systems and power bespoke differentiating technology solutions that deliver secure, scalable, and cost optimised functionality and change at pace. As a technology expert for the given domain, and for current and emerging technologies, you will be one of the key team members responsible for the feasibility and technical execution of solutions for a specific product domain, providing eCommerce or Order Management capabilities within our technology stack. This will include technical ownership of the domain and its workloads, the security and quality of the implementations and all relevant integrations with SaaS platforms. Job Title - Principal Software Engineer Working hours - 40 What You'll Be Doing: As a Principal Software Engineer, you'll be doing the following: To work with PSE counterparts to oversee the design and execution of aligned technology solutions in line with the organisation's technology and engineering strategy To work with PSE counterparts and the Platform Services/DevOps team to ensure security, governance and quality guardrails are in place and adhered to To ensure tooling provided by the Platform Services team leverages all required engineering productivity, development and deployment tooling operating under a CI/CD methodology To work with PSE counterparts to devise policies and strategies pertaining to industry engineering standards and practices To manage the productivity and quality of internal and external engineering execution capability and capacity utilising metrics and data insights from our internal developer platform and work planning tools What We're Looking For: Good knowledge of AWS/cloud computing providers and technologies specific to the domain including API development, Serverless, NoSQL, containers Strong experience in GraphQL, Typescript and (IAC) Terraform Working experience with different architectural styles (MVC, event driven, pipes, and filters). The Company: The JD Group is a leading omnichannel retailer of Sports Fashion, Street & Premium Fashion, Outdoors and Gyms with over 60,000 colleagues over 3,400 stores across several retail fascia's in over 30 markets around the world. We are an equal opportunities employer who embraces and values differences. We recognise the importance of an inclusive workplace culture in which everyone can thrive irrespective of their background or identity. Benefits: Staff Discount on qualifying purchases across Group retail stores and online Discounted Gym membership Personal development opportunities to learn and develop at work Access to Apprenticeships and accredited qualifications Interested? If you are interested in this position, then press the Apply Now button. Due to the high volumes of applications our opportunities attract, it takes time to review them all. If you don't hear back within two weeks of your application, please consider your application to have been unsuccessful on this occasion. Applications that meet the skills criteria will be contacted for a 1st stage meeting with the talent team. Shortlisted candidates will then be invited to interview with the hiring manager.
Principal AI EngineerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R114326 Principal AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team: Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. About the role: As a Principal AI Engineer, you will be the technical lead for an embedded Innovation Squad, owning technical execution from discovery through to production. You will assess and harden existing AI prototypes, deliver new ones, and establish the agentic AI patterns, orchestration, tool use, memory, and retrieval that other squads reuse. You are the senior source of expertise on AI architecture, integration, and delivery.You will work directly with internal stakeholders and end users in the host function, finalising requirements, making the architectural calls, and codifying validated solutions into reusable patterns, reference implementations, and starter kits. You may also provide sizing, infrastructure, and budget recommendations, and you will mentor and elevate the engineers around you. Key Responsibilities: Own technical execution from discovery to production; build, assess, and harden prototypes and proofs of concept, and deliver new ones. Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval). Ensure delivery meets architecture, security and data-governance standards; recommend infrastructure, hosting and data residency. Codify validated solutions into patterns, reference implementations, and starter kits so they can be picked up and scaled across other functions. Provide design input, finalise requirements, and work directly with internal stakeholders and end users in the host function. Write specifications, fix complex bugs, and design complex data models. Act as the primary technical contact for external resources and the squad's go-to on coding and AI. Establish baselines and report measurable outcomes for every initiative. Maintain visibility of in-flight AI pilots within the function to prevent duplication and surface candidates for reuse. Ensure alignment with enterprise non-negotiables: security, compliance and central technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI / LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways of working: Thrives in ambiguity, framing the problem, extracting defined spec, and prioritises shipping validated outcomes over perfect solutions, moving pilots to production at pace. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership and delivery management: Plans and sequences work, manages scope, dependencies and priorities, removes blockers, and drives delivery to keep innovation moving. Communication and influence: Presents concisely to senior management, host-function stakeholders and cross-functional teams, and builds buy-in and drives technical decisions across. Commercial awareness: Budget-aware; partners with internal and external resources, including managed services and staff augmentation. Measurement: Establishes baselines and instruments solutions to track productivity, cost and quality outcomes from pilot through scale. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
14/06/2026
Full time
Principal AI EngineerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R114326 Principal AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team: Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. About the role: As a Principal AI Engineer, you will be the technical lead for an embedded Innovation Squad, owning technical execution from discovery through to production. You will assess and harden existing AI prototypes, deliver new ones, and establish the agentic AI patterns, orchestration, tool use, memory, and retrieval that other squads reuse. You are the senior source of expertise on AI architecture, integration, and delivery.You will work directly with internal stakeholders and end users in the host function, finalising requirements, making the architectural calls, and codifying validated solutions into reusable patterns, reference implementations, and starter kits. You may also provide sizing, infrastructure, and budget recommendations, and you will mentor and elevate the engineers around you. Key Responsibilities: Own technical execution from discovery to production; build, assess, and harden prototypes and proofs of concept, and deliver new ones. Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval). Ensure delivery meets architecture, security and data-governance standards; recommend infrastructure, hosting and data residency. Codify validated solutions into patterns, reference implementations, and starter kits so they can be picked up and scaled across other functions. Provide design input, finalise requirements, and work directly with internal stakeholders and end users in the host function. Write specifications, fix complex bugs, and design complex data models. Act as the primary technical contact for external resources and the squad's go-to on coding and AI. Establish baselines and report measurable outcomes for every initiative. Maintain visibility of in-flight AI pilots within the function to prevent duplication and surface candidates for reuse. Ensure alignment with enterprise non-negotiables: security, compliance and central technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI / LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways of working: Thrives in ambiguity, framing the problem, extracting defined spec, and prioritises shipping validated outcomes over perfect solutions, moving pilots to production at pace. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership and delivery management: Plans and sequences work, manages scope, dependencies and priorities, removes blockers, and drives delivery to keep innovation moving. Communication and influence: Presents concisely to senior management, host-function stakeholders and cross-functional teams, and builds buy-in and drives technical decisions across. Commercial awareness: Budget-aware; partners with internal and external resources, including managed services and staff augmentation. Measurement: Establishes baselines and instruments solutions to track productivity, cost and quality outcomes from pilot through scale. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Overview Principal AI Engineer - you will lead the design and delivery of AI solutions that turn complex data into impactful outcomes. You will serve as the technical lead for an embedded Innovation Squad, owning the entire technical lifecycle from discovery through to production. Role As the senior authority on AI architecture, integration, and delivery you will work directly with internal stakeholders and end users. Your responsibilities include hardening prototypes, delivering new AI services, codifying reusable patterns, mentoring teammates, and ensuring solutions meet security, data governance, and architectural standards. Key Responsibilities Own technical execution from discovery to production; build, assess, and harden prototypes and proofs of concept. Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval). Ensure delivery meets architecture, security and data governance standards; recommend infrastructure, hosting and data residency. Codify validated solutions into patterns, reference implementations, and starter kits for reuse across functions. Provide design input, finalise requirements, and work directly with internal stakeholders and end users. Write specifications, fix complex bugs, and design complex data models. Act as the primary technical contact for external resources and the squad's go to on coding and AI. Establish baselines and report measurable outcomes for every initiative. Maintain visibility of in flight AI pilots within the function to prevent duplication and surface candidates for reuse. Ensure alignment with enterprise non negotiables: security, compliance and central technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements 10+ years of software engineering experience with hands on AI system design, build or integration and a track record of taking prototypes to production in enterprise environments. Bachelor's degree in Engineering, Computer Science or equivalent (advanced degree preferred). Expertise in agentic AI/LLMs: orchestration, prompt engineering, context window management, production guardrails, tool augmented agents and RAG at enterprise scale. Experience integrating AI into enterprise systems via APIs and data pipelines with strong security, data governance and residency practices. Cloud platform experience (AWS, Azure or GCP) including managed AI/ML services. Proficiency in Agile, CI/CD, modern SDLC and TDD. Strong data and architecture skills: modelling across relational, columnar and vector stores, grounded in sound architectural principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership experience - plan and sequence work, manage scope, dependencies and priorities, remove blockers, and drive delivery. Excellent communication and influence: present concisely to senior management, stakeholders and cross functional teams. Commercial awareness: budget aware, partners with internal and external resources, including managed services and staff augmentation. Ability to establish baselines and instrument solutions to track productivity, cost and quality outcomes from pilot through scale. Why Join Us We offer a culture of innovation, collaboration and excellence with flexible working arrangements, a focus on well being and a range of benefits designed to support both your immediate responsibilities and long term goals. Benefits Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) Equal Opportunity Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
13/06/2026
Full time
Overview Principal AI Engineer - you will lead the design and delivery of AI solutions that turn complex data into impactful outcomes. You will serve as the technical lead for an embedded Innovation Squad, owning the entire technical lifecycle from discovery through to production. Role As the senior authority on AI architecture, integration, and delivery you will work directly with internal stakeholders and end users. Your responsibilities include hardening prototypes, delivering new AI services, codifying reusable patterns, mentoring teammates, and ensuring solutions meet security, data governance, and architectural standards. Key Responsibilities Own technical execution from discovery to production; build, assess, and harden prototypes and proofs of concept. Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval). Ensure delivery meets architecture, security and data governance standards; recommend infrastructure, hosting and data residency. Codify validated solutions into patterns, reference implementations, and starter kits for reuse across functions. Provide design input, finalise requirements, and work directly with internal stakeholders and end users. Write specifications, fix complex bugs, and design complex data models. Act as the primary technical contact for external resources and the squad's go to on coding and AI. Establish baselines and report measurable outcomes for every initiative. Maintain visibility of in flight AI pilots within the function to prevent duplication and surface candidates for reuse. Ensure alignment with enterprise non negotiables: security, compliance and central technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements 10+ years of software engineering experience with hands on AI system design, build or integration and a track record of taking prototypes to production in enterprise environments. Bachelor's degree in Engineering, Computer Science or equivalent (advanced degree preferred). Expertise in agentic AI/LLMs: orchestration, prompt engineering, context window management, production guardrails, tool augmented agents and RAG at enterprise scale. Experience integrating AI into enterprise systems via APIs and data pipelines with strong security, data governance and residency practices. Cloud platform experience (AWS, Azure or GCP) including managed AI/ML services. Proficiency in Agile, CI/CD, modern SDLC and TDD. Strong data and architecture skills: modelling across relational, columnar and vector stores, grounded in sound architectural principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership experience - plan and sequence work, manage scope, dependencies and priorities, remove blockers, and drive delivery. Excellent communication and influence: present concisely to senior management, stakeholders and cross functional teams. Commercial awareness: budget aware, partners with internal and external resources, including managed services and staff augmentation. Ability to establish baselines and instrument solutions to track productivity, cost and quality outcomes from pilot through scale. Why Join Us We offer a culture of innovation, collaboration and excellence with flexible working arrangements, a focus on well being and a range of benefits designed to support both your immediate responsibilities and long term goals. Benefits Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) Equal Opportunity Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Senior Java DeveloperApplylocations: Kings Cross, Londonposted on: Posted 7 Days Agojob requisition id: UMG-18568Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . The Role We are seeking a seasoned Senior Java Developer to join our dynamic team. The ideal candidate should possess strong proficiency and hands-on experience with Spring Boot and core frameworks integral to enterprise software development. A robust understanding of relational databases and SQL is crucial, alongside expertise in traditional web application and API development. Skills and experience with agile, event-based architectures and data streaming technologies is also welcome.The candidate will be joining a team working on a greenfield project that will be used globally by UMG staff. It will involve use of web technologies, relational databases, API development and integration with other IT systems within UMG.If you are a proactive and experienced Java developer with a passion for leading teams and contributing to the broader development goals of the department, we invite you to apply and be part of our innovative and collaborative work environment. Key Responsibilities Own and lead the end-to-end delivery of major features or services Drive technical direction and long-term roadmap Drive continuous improvement Master the business domain and customer workflows Champion and evangelise best practices Skills and Experience Required Must Have: Proficiency in Java, with a focus on Spring Boot and core enterprise frameworks Strong understanding of enterprise software development and key design patterns Extensive experience with relational databases, SQL and ORM frameworks Extensive experience with unit, integration and automation testing Experience with service-oriented architectures and web-service API development Expertise in cloud-based development (ideally AWS) and container technologies (e.g. Docker, Kubernetes) Experience with SCRUM Agile methodology Track record of leading projects end-to-end and shipping them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front-end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience / awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and innovative problem-solving skills Experience leading development teams, able to demonstrate effective leadership skills Experience mentoring and guiding junior developers, fostering a collaborative and growth-oriented environment Able to exhibit a keen interest in the broader scope of development within the department, as well as being proactive with plans to improve the existing platforms / implementations Strong communication and interpersonal skills Initiative and the ability to work independently and in a team Engage with colleagues to promote great software design and quality Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology About UsWe are Universal Music Group, the world's leading music company. We are the home for music's greatest artists, innovators and entrepreneurs.
13/06/2026
Full time
Senior Java DeveloperApplylocations: Kings Cross, Londonposted on: Posted 7 Days Agojob requisition id: UMG-18568Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . The Role We are seeking a seasoned Senior Java Developer to join our dynamic team. The ideal candidate should possess strong proficiency and hands-on experience with Spring Boot and core frameworks integral to enterprise software development. A robust understanding of relational databases and SQL is crucial, alongside expertise in traditional web application and API development. Skills and experience with agile, event-based architectures and data streaming technologies is also welcome.The candidate will be joining a team working on a greenfield project that will be used globally by UMG staff. It will involve use of web technologies, relational databases, API development and integration with other IT systems within UMG.If you are a proactive and experienced Java developer with a passion for leading teams and contributing to the broader development goals of the department, we invite you to apply and be part of our innovative and collaborative work environment. Key Responsibilities Own and lead the end-to-end delivery of major features or services Drive technical direction and long-term roadmap Drive continuous improvement Master the business domain and customer workflows Champion and evangelise best practices Skills and Experience Required Must Have: Proficiency in Java, with a focus on Spring Boot and core enterprise frameworks Strong understanding of enterprise software development and key design patterns Extensive experience with relational databases, SQL and ORM frameworks Extensive experience with unit, integration and automation testing Experience with service-oriented architectures and web-service API development Expertise in cloud-based development (ideally AWS) and container technologies (e.g. Docker, Kubernetes) Experience with SCRUM Agile methodology Track record of leading projects end-to-end and shipping them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front-end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience / awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and innovative problem-solving skills Experience leading development teams, able to demonstrate effective leadership skills Experience mentoring and guiding junior developers, fostering a collaborative and growth-oriented environment Able to exhibit a keen interest in the broader scope of development within the department, as well as being proactive with plans to improve the existing platforms / implementations Strong communication and interpersonal skills Initiative and the ability to work independently and in a team Engage with colleagues to promote great software design and quality Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology About UsWe are Universal Music Group, the world's leading music company. We are the home for music's greatest artists, innovators and entrepreneurs.
We're on a mission to make it simple and affordable for every home in the UK to be heated and powered by clean, green electricity. Our customers are the installers who are at the forefront of this transition, but who have historically been overlooked and left struggling with outdated, ineffectual software. Since getting started at the beginning of 2024, we've grown exponentially, have raised several rounds of funding from top tier VCs, and now support over 700 heat pump installation businesses across the UK. We're looking for an exceptional Lead Engineer to help us move faster and go further as we start to expand outside heat pumps. Quick background on Spruce We've started with most challenging but ultimately most important part of the home energy transition: replacing boilers with heat pumps. Nearly 20% of the UK's carbon emissions come from heating homes. There is no credible path to net zero without replacing gas and oil boilers - and today, heat pumps are the only scalable alternative with their almost magical ability to convert 1kW of electricity into 4kW of heat. The problem? The installation process is slow, fragmented, and painfully manual. This increases costs for homeowners, limits how fast installation businesses can grow, and makes it almost impossible to offer a heat pump when someone's boiler breaks down. We're fixing this. We've built an end to end operating system for heat pump installers - from initial enquiry through design and installation to compliance and paperwork. Relative to the best alternatives, Spruce now: Halves the time installers spend per job; Doubles sales conversion rates; and Improves quality, margins, and customer experience. And we're only just getting started. With fresh investment and growing demand, we're now expanding into the rest of the home renewables supply chain - supporting manufacturers and merchants as well as installers, and enabling solar & battery installations alongside heat pumps. The Role As a Lead Full Stack Engineer, you'll sit at the intersection of hands on technical work, team leadership, and product strategy. You'll still write a bunch of code - especially the hard, high leverage parts - but your impact will increasingly come from setting direction, unblocking others, and raising the bar across the team. You'll work closely with engineers, designers, and product leadership to ensure we're building the right things, in the right way, at the right time. What you'll do Own architecture and technical strategy for a core domain or set of systems. Design, guide, and build complex, cross cutting solutions that span multiple parts of the product. Write high leverage code: reference implementations, critical paths, foundational frameworks. Lead technical discussions, make trade offs explicit, and help teams align. Mentor senior engineers and develop others into technical leaders. Coach engineers in how to make decisions, rather than making every decision yourself. Proactively identify scaling risks, bottlenecks, and areas of technical debt - and drive solutions. Depending on your background, you may: Be stepping into your first formal lead role from a senior IC position, or Have already led teams successfully and want to stay close to the technical work Either way, we'll support you in growing your leadership scope over time. The problem space This is not CRUD only work. You'll be working meaningful production problems from day one that blends physical reality, real world constraints, and serious impact: Heat loss modelling and hydronic system design 2D and 3D floor plan tooling using LiDAR and computer vision Large scale data ingestion and geospatial analysis Offline first, collaborative PWAs Hardware integrations (Bluetooth measurement tools, sensors, monitoring systems) Tech Stack Our tech stack strives for simplicity, symmetry and efficiency. Our hard problems come from the real world instead of self made architectural problems. You don't need to know all of the below but you do need an appetite for full stack mastery and owning the problem end to end. Docker, Docker Compose PostgreSQL, PostGIS, Atlas migrations Node, Prisma React, Typescript, Konva, Tailwind Requirements We care less about titles and more about impact, judgment, and intent. You'll likely have experience with: Modern JavaScript / TypeScript and frontend frameworks Backend development and API design Relational databases and data modelling Solving ambiguous, real world problems end to end Mentoring and/or building healthy, high trust teams But more importantly, you are: Product minded - you want to understand real users and real problems, not just tickets Impact driven - you balance technical quality with momentum and know when "good enough" is exactly right Comfortable with ownership - you take responsibility for outcomes, not just code Candid and collaborative - you challenge ideas openly, receive feedback well, and optimise for the team over ego and you'll hopefully also love heat pumps! Whether you're growing into seniority or already operating at staff/lead level, you'll find space here to do the best work of your career. Benefits Salary (depending on experience, impact, and location): £90-130k Meaningful slice of equity (options) in the company 33 days holiday and opportunity to work from abroad for another 30 days each year Hybrid working: Min. 2 days in person a week (London or Bristol) Workplace Nursery Benefit scheme (YellowNest) Cycle to Work scheme Full team meetups every fortnight with paid travel, accommodation and dinner Brilliant team to learn from and massive opportunity to grow Working at Spruce We're currently a close knit team of 20, split evenly between London and Bristol. You'll spend 2-3 days each week working together in person in your nearest office, and we get everyone altogether every fortnight. You'll have genuine influence from day one. The best idea wins regardless of seniority. We expect you to challenge everything, ask "why?" multiple levels deep, and push back when something doesn't make sense. We want everyone to spend time with installers on site, feel their pain points, then be able to rapidly suggest and implement solutions based on real feedback rather than assumptions. We move fast and ship imperfect things, learning from users rather than trying to perfect in isolation. When things break, we focus on how we fix it, what can we learn and never blame. You'll own your outcomes whilst knowing the team has your back. Feedback is constant, direct, and kind - we'll tell you when something isn't working and expect the same honesty (and empathy) back. Application process Our process is designed to be thorough, but respectful of your time: Initial video interview digging into your experience and your interest in this space. Take home technical test. Technical interview. Interview with Founders. Final in person team interview.
10/06/2026
Full time
We're on a mission to make it simple and affordable for every home in the UK to be heated and powered by clean, green electricity. Our customers are the installers who are at the forefront of this transition, but who have historically been overlooked and left struggling with outdated, ineffectual software. Since getting started at the beginning of 2024, we've grown exponentially, have raised several rounds of funding from top tier VCs, and now support over 700 heat pump installation businesses across the UK. We're looking for an exceptional Lead Engineer to help us move faster and go further as we start to expand outside heat pumps. Quick background on Spruce We've started with most challenging but ultimately most important part of the home energy transition: replacing boilers with heat pumps. Nearly 20% of the UK's carbon emissions come from heating homes. There is no credible path to net zero without replacing gas and oil boilers - and today, heat pumps are the only scalable alternative with their almost magical ability to convert 1kW of electricity into 4kW of heat. The problem? The installation process is slow, fragmented, and painfully manual. This increases costs for homeowners, limits how fast installation businesses can grow, and makes it almost impossible to offer a heat pump when someone's boiler breaks down. We're fixing this. We've built an end to end operating system for heat pump installers - from initial enquiry through design and installation to compliance and paperwork. Relative to the best alternatives, Spruce now: Halves the time installers spend per job; Doubles sales conversion rates; and Improves quality, margins, and customer experience. And we're only just getting started. With fresh investment and growing demand, we're now expanding into the rest of the home renewables supply chain - supporting manufacturers and merchants as well as installers, and enabling solar & battery installations alongside heat pumps. The Role As a Lead Full Stack Engineer, you'll sit at the intersection of hands on technical work, team leadership, and product strategy. You'll still write a bunch of code - especially the hard, high leverage parts - but your impact will increasingly come from setting direction, unblocking others, and raising the bar across the team. You'll work closely with engineers, designers, and product leadership to ensure we're building the right things, in the right way, at the right time. What you'll do Own architecture and technical strategy for a core domain or set of systems. Design, guide, and build complex, cross cutting solutions that span multiple parts of the product. Write high leverage code: reference implementations, critical paths, foundational frameworks. Lead technical discussions, make trade offs explicit, and help teams align. Mentor senior engineers and develop others into technical leaders. Coach engineers in how to make decisions, rather than making every decision yourself. Proactively identify scaling risks, bottlenecks, and areas of technical debt - and drive solutions. Depending on your background, you may: Be stepping into your first formal lead role from a senior IC position, or Have already led teams successfully and want to stay close to the technical work Either way, we'll support you in growing your leadership scope over time. The problem space This is not CRUD only work. You'll be working meaningful production problems from day one that blends physical reality, real world constraints, and serious impact: Heat loss modelling and hydronic system design 2D and 3D floor plan tooling using LiDAR and computer vision Large scale data ingestion and geospatial analysis Offline first, collaborative PWAs Hardware integrations (Bluetooth measurement tools, sensors, monitoring systems) Tech Stack Our tech stack strives for simplicity, symmetry and efficiency. Our hard problems come from the real world instead of self made architectural problems. You don't need to know all of the below but you do need an appetite for full stack mastery and owning the problem end to end. Docker, Docker Compose PostgreSQL, PostGIS, Atlas migrations Node, Prisma React, Typescript, Konva, Tailwind Requirements We care less about titles and more about impact, judgment, and intent. You'll likely have experience with: Modern JavaScript / TypeScript and frontend frameworks Backend development and API design Relational databases and data modelling Solving ambiguous, real world problems end to end Mentoring and/or building healthy, high trust teams But more importantly, you are: Product minded - you want to understand real users and real problems, not just tickets Impact driven - you balance technical quality with momentum and know when "good enough" is exactly right Comfortable with ownership - you take responsibility for outcomes, not just code Candid and collaborative - you challenge ideas openly, receive feedback well, and optimise for the team over ego and you'll hopefully also love heat pumps! Whether you're growing into seniority or already operating at staff/lead level, you'll find space here to do the best work of your career. Benefits Salary (depending on experience, impact, and location): £90-130k Meaningful slice of equity (options) in the company 33 days holiday and opportunity to work from abroad for another 30 days each year Hybrid working: Min. 2 days in person a week (London or Bristol) Workplace Nursery Benefit scheme (YellowNest) Cycle to Work scheme Full team meetups every fortnight with paid travel, accommodation and dinner Brilliant team to learn from and massive opportunity to grow Working at Spruce We're currently a close knit team of 20, split evenly between London and Bristol. You'll spend 2-3 days each week working together in person in your nearest office, and we get everyone altogether every fortnight. You'll have genuine influence from day one. The best idea wins regardless of seniority. We expect you to challenge everything, ask "why?" multiple levels deep, and push back when something doesn't make sense. We want everyone to spend time with installers on site, feel their pain points, then be able to rapidly suggest and implement solutions based on real feedback rather than assumptions. We move fast and ship imperfect things, learning from users rather than trying to perfect in isolation. When things break, we focus on how we fix it, what can we learn and never blame. You'll own your outcomes whilst knowing the team has your back. Feedback is constant, direct, and kind - we'll tell you when something isn't working and expect the same honesty (and empathy) back. Application process Our process is designed to be thorough, but respectful of your time: Initial video interview digging into your experience and your interest in this space. Take home technical test. Technical interview. Interview with Founders. Final in person team interview.
FPGA Firmware Engineer - Ulverston Hybrid or Remote (3 days on site per month, Tuesday to Thursday) which is fully expensed - Travel & Accommodation Are your Firmware Engineer or FPGA Design Engineer career goals not being met? Are you working in a huge corporate, in a very large team on only a small module of an overall project? Bored? Are you frustrated by the bureaucracy? Are you working in a dull, tired domain? As an FPGA Engineer you'll enjoy solving a variety of technical challenges in a culture where everyone trusts each other. You'll gain deeper job satisfaction, variety, better rewards and a great quality of life inside and outside of work. You'll like their worker autonomy, project ownership, with a commitment to inclusion, diversity and work-life balance. A good company culture resulting in a low turnover of engineering staff. Renewed investment in the business by the parent enabling strong future growth which opens up possibilities to work on other interesting products or projects within the subsea industry. We are an exclusive partner to this exciting company having worked with them successfully for nearly 15 years. As a Firmware Engineer, FPGA Engineer you'll love working in a high-technology business dedicated to providing the most reliable imaging and acoustic equipment for use in underwater applications. You'll enjoy a truly international customer base, their cutting edge technology has been adopted as the preferred choice in an expanding variety of sub-sea applications including deep sea infrastructure, defence, renewables, marine life tracking systems, dive search & recovery operations, oil & gas and scientific discovery. You'll work at a state of the art manufacturing facility in Ulverston, Cumbria, on the edge of the beautiful Lake District National Park, offering exciting lifestyle choices. You'll design, implement, and optimise FPGA-based digital architectures for sonar, acoustic processing, and subsea sensing systems. The role focuses on real time signal acquisition, high-throughput digital signal processing (DSP), beamforming, and robust operation in demanding subsea environments. The FPGA Engineer will contribute to the development of reliable, high-performance embedded systems deployed in offshore, marine, defence, and scientific applications. What you'll do: 1. FPGA Architecture & Real-Time Signal Processing Develop FPGA designs for: Multi channel acoustic data acquisition Digital down conversion (DDC) Filtering (FIR/IIR) FFT processing Beamforming algorithms Pulse compression and matched filtering Implement high speed streaming data pipelines Optimise fixed point arithmetic for deterministic real time performance Design low latency architectures suitable for active sonar systems. 2. High Speed Interface Development Implement and validate interfaces such as: High speed ADC/DAC interfaces JESD204 LVDS SERDES Develop memory interfaces (DDR3/DDR4) for buffering high bandwidth acoustic data Ensure deterministic timing and synchronisation (e.g., PTP, trigger alignment). 3. Hardware Integration & Subsea Considerations Collaborate with analogue and hardware engineers on: Front end acoustic transducer electronics Low noise acquisition chains Clocking strategies and jitter management Consider power efficiency and thermal constraints in sealed subsea systems Contribute to design for reliability in harsh marine environments. 4. Verification, Testing & Validation Develop simulation testbenches for signal processing chains Perform bit accurate modelling (MATLAB/Python to RTL correlation) Conduct hardware bring up and debug using: Integrated Logic Analysers (ILA) Oscilloscopes Spectrum analysers Support acoustic tank testing and sea trials where required. 5. Performance Optimisation Achieve timing closure for high speed DSP architectures Optimise FPGA resource usage (DSP slices, BRAM, LUTs) Minimise latency in signal paths Improve power efficiency for long duration subsea deployments. 6. Documentation & Compliance Produce design documentation and verification reports Support compliance with relevant standards (e.g., EMC, CE, marine standards, defence standards where applicable) Participate in design reviews and risk assessments (FMEA). What you'll need: Strong proficiency in VHDL and/or Verilog Experience with Xilinx (AMD) or Intel FPGAs Strong understanding of Digital signal processing, fixed point arithmetic, FFT and filtering implementations, multi rate signal processing Experience with high speed ADC/DAC interfacing Knowledge of clock domain crossing and timing constraints Familiarity with MATLAB or Python for DSP modelling. Qualifications: Degree in Electronic Engineering or related discipline. Postgraduate study in DSP, acoustics, or embedded systems (advantageous). Key Performance Indicators (KPIs) Successful real time processing at required bandwidth Timing closure at target clock frequencies Low defect rate in sea trials. About the company: The company is well established, stable, and specialises in the production of high performance acoustic sensors, imaging sonar, depth sensing and navigation tracking equipment for the subsea industry. With the backing of its parent company they are now poised to launch more new products, next generation sonar systems, providing robust underwater solutions in the harshest environments for their customers worldwide.
09/06/2026
Full time
FPGA Firmware Engineer - Ulverston Hybrid or Remote (3 days on site per month, Tuesday to Thursday) which is fully expensed - Travel & Accommodation Are your Firmware Engineer or FPGA Design Engineer career goals not being met? Are you working in a huge corporate, in a very large team on only a small module of an overall project? Bored? Are you frustrated by the bureaucracy? Are you working in a dull, tired domain? As an FPGA Engineer you'll enjoy solving a variety of technical challenges in a culture where everyone trusts each other. You'll gain deeper job satisfaction, variety, better rewards and a great quality of life inside and outside of work. You'll like their worker autonomy, project ownership, with a commitment to inclusion, diversity and work-life balance. A good company culture resulting in a low turnover of engineering staff. Renewed investment in the business by the parent enabling strong future growth which opens up possibilities to work on other interesting products or projects within the subsea industry. We are an exclusive partner to this exciting company having worked with them successfully for nearly 15 years. As a Firmware Engineer, FPGA Engineer you'll love working in a high-technology business dedicated to providing the most reliable imaging and acoustic equipment for use in underwater applications. You'll enjoy a truly international customer base, their cutting edge technology has been adopted as the preferred choice in an expanding variety of sub-sea applications including deep sea infrastructure, defence, renewables, marine life tracking systems, dive search & recovery operations, oil & gas and scientific discovery. You'll work at a state of the art manufacturing facility in Ulverston, Cumbria, on the edge of the beautiful Lake District National Park, offering exciting lifestyle choices. You'll design, implement, and optimise FPGA-based digital architectures for sonar, acoustic processing, and subsea sensing systems. The role focuses on real time signal acquisition, high-throughput digital signal processing (DSP), beamforming, and robust operation in demanding subsea environments. The FPGA Engineer will contribute to the development of reliable, high-performance embedded systems deployed in offshore, marine, defence, and scientific applications. What you'll do: 1. FPGA Architecture & Real-Time Signal Processing Develop FPGA designs for: Multi channel acoustic data acquisition Digital down conversion (DDC) Filtering (FIR/IIR) FFT processing Beamforming algorithms Pulse compression and matched filtering Implement high speed streaming data pipelines Optimise fixed point arithmetic for deterministic real time performance Design low latency architectures suitable for active sonar systems. 2. High Speed Interface Development Implement and validate interfaces such as: High speed ADC/DAC interfaces JESD204 LVDS SERDES Develop memory interfaces (DDR3/DDR4) for buffering high bandwidth acoustic data Ensure deterministic timing and synchronisation (e.g., PTP, trigger alignment). 3. Hardware Integration & Subsea Considerations Collaborate with analogue and hardware engineers on: Front end acoustic transducer electronics Low noise acquisition chains Clocking strategies and jitter management Consider power efficiency and thermal constraints in sealed subsea systems Contribute to design for reliability in harsh marine environments. 4. Verification, Testing & Validation Develop simulation testbenches for signal processing chains Perform bit accurate modelling (MATLAB/Python to RTL correlation) Conduct hardware bring up and debug using: Integrated Logic Analysers (ILA) Oscilloscopes Spectrum analysers Support acoustic tank testing and sea trials where required. 5. Performance Optimisation Achieve timing closure for high speed DSP architectures Optimise FPGA resource usage (DSP slices, BRAM, LUTs) Minimise latency in signal paths Improve power efficiency for long duration subsea deployments. 6. Documentation & Compliance Produce design documentation and verification reports Support compliance with relevant standards (e.g., EMC, CE, marine standards, defence standards where applicable) Participate in design reviews and risk assessments (FMEA). What you'll need: Strong proficiency in VHDL and/or Verilog Experience with Xilinx (AMD) or Intel FPGAs Strong understanding of Digital signal processing, fixed point arithmetic, FFT and filtering implementations, multi rate signal processing Experience with high speed ADC/DAC interfacing Knowledge of clock domain crossing and timing constraints Familiarity with MATLAB or Python for DSP modelling. Qualifications: Degree in Electronic Engineering or related discipline. Postgraduate study in DSP, acoustics, or embedded systems (advantageous). Key Performance Indicators (KPIs) Successful real time processing at required bandwidth Timing closure at target clock frequencies Low defect rate in sea trials. About the company: The company is well established, stable, and specialises in the production of high performance acoustic sensors, imaging sonar, depth sensing and navigation tracking equipment for the subsea industry. With the backing of its parent company they are now poised to launch more new products, next generation sonar systems, providing robust underwater solutions in the harshest environments for their customers worldwide.
FPGA Firmware Engineer - Ulverston Hybrid or Remote (3 days on site per month, Tuesday to Thursday ) which is fully expensed - Travel & Accommodation Are your Firmware Engineer or FPGA Design Engineer career goals not being met ? Are you working in a huge corporate, in a very large team on only a small module of an overall project ? Bored ? Are you frustrated by the bureaucracy ? Are you working in a dull, tired domain ? As an FPGA Engineer you'll enjoy solving a variety of technical challenges in a culture where everyone trusts each other. You'll gain deeper job satisfaction, variety, better rewards and a great quality of life inside and outside of work. You'll like their worker autonomy, project ownership, with a commitment to inclusion, diversity and work-life balance. A good company culture resulting in a low turnover of engineering staff. Renewed investment in the business by the parent enabling strong future growth which opens up possibilities to work on other interesting products or projects within the subsea industry. We are an exclusive partner to this exciting company having worked with them successfully for nearly 15 years. As a Firmware Engineer, FPGA Engineer you'll love working in a high-technology business dedicated to providing the most reliable imaging and acoustic equipment for use in underwater applications. You'll enjoy a truly international customer base, their cutting edge technology has been adopted as the preferred choice in an expanding variety of sub-sea applications including deep sea infrastructure, defence, renewables, marine life tracking systems, dive search & recovery operations, oil & gas and scientific discovery.You'll work at a state-of-the-art manufacturing facility in Ulverston, Cumbria, on the edge of the beautiful Lake District National Park, offering exciting lifestyle choices. You'll design, implement, and optimise FPGA-based digital architectures for sonar, acoustic processing, and subsea sensing systems. The role focuses on real-time signal acquisition, high-throughput digital signal processing (DSP), beamforming, and robust operation in demanding subsea environments. The FPGA Engineer will contribute to the development of reliable, high-performance embedded systems deployed in offshore, marine, defence, and scientific applications. What you'll do:1. FPGA Architecture & Real-Time Signal ProcessingDevelop FPGA designs for: Multi-channel acoustic data acquisition Digital down conversion (DDC) Filtering (FIR/IIR) FFT processing Beamforming algorithms Pulse compression and matched filtering Implement high-speed streaming data pipelines Optimise fixed-point arithmetic for deterministic real-time performance Design low-latency architectures suitable for active sonar systems. 2. High-Speed Interface DevelopmentImplement and validate interfaces such as: High-speed ADC/DAC interfaces JESD204 LVDS SERDES Develop memory interfaces (DDR3/DDR4) for buffering high-bandwidth acoustic data Ensure deterministic timing and synchronisation (e.g., PTP, trigger alignment). 3. Hardware Integration & Subsea ConsiderationsCollaborate with analogue and hardware engineers on: Front-end acoustic transducer electronics Low-noise acquisition chains Clocking strategies and jitter management Consider power efficiency and thermal constraints in sealed subsea systems Contribute to design for reliability in harsh marine environments. 4. Verification, Testing & Validation Develop simulation testbenches for signal processing chains Perform bit-accurate modelling (MATLAB/Python to RTL correlation) Conduct hardware bring-up and debug using:o Integrated Logic Analysers (ILA)o Oscilloscopeso Spectrum analysers Support acoustic tank testing and sea trials where required. 5. Performance Optimisation Achieve timing closure for high-speed DSP architectures Optimise FPGA resource usage (DSP slices, BRAM, LUTs) Minimise latency in signal paths Improve power efficiency for long-duration subsea deployments. 6. Documentation & Compliance Produce design documentation and verification reports Support compliance with relevant standards (e.g., EMC, CE, marine standards, defence standards where applicable) Participate in design reviews and risk assessments (FMEA). What you'll need: Strong proficiency in VHDL and/or Verilog Experience with Xilinx (AMD) or Intel FPGAs Strong understanding of: Digital signal processing Fixed-point arithmetic FFT and filtering implementations Multi-rate signal processing Experience with high-speed ADC/DAC interfacing Knowledge of clock domain crossing and timing constraints Familiarity with MATLAB or Python for DSP modelling.Qualifications, Degree in Electronic Engineering or related discipline. Postgraduate study in DSP, acoustics, or embedded systems (advantageous). Key Performance Indicators (KPIs) Successful real-time processing at required bandwidth Timing closure at target clock frequencies Low defect rate in sea trials. About the company:The company are well established, stable, and specialise in the production of high performance acoustic sensors, imaging sonar, depth sensing and navigation tracking equipment for the subsea industry.With the backing of its parent company they are now poised to launch more new products, next generation sonar systems, providing robust underwater solutions in the harshest environments for their customers worldwide. JBRP1_UKTJ
08/06/2026
Full time
FPGA Firmware Engineer - Ulverston Hybrid or Remote (3 days on site per month, Tuesday to Thursday ) which is fully expensed - Travel & Accommodation Are your Firmware Engineer or FPGA Design Engineer career goals not being met ? Are you working in a huge corporate, in a very large team on only a small module of an overall project ? Bored ? Are you frustrated by the bureaucracy ? Are you working in a dull, tired domain ? As an FPGA Engineer you'll enjoy solving a variety of technical challenges in a culture where everyone trusts each other. You'll gain deeper job satisfaction, variety, better rewards and a great quality of life inside and outside of work. You'll like their worker autonomy, project ownership, with a commitment to inclusion, diversity and work-life balance. A good company culture resulting in a low turnover of engineering staff. Renewed investment in the business by the parent enabling strong future growth which opens up possibilities to work on other interesting products or projects within the subsea industry. We are an exclusive partner to this exciting company having worked with them successfully for nearly 15 years. As a Firmware Engineer, FPGA Engineer you'll love working in a high-technology business dedicated to providing the most reliable imaging and acoustic equipment for use in underwater applications. You'll enjoy a truly international customer base, their cutting edge technology has been adopted as the preferred choice in an expanding variety of sub-sea applications including deep sea infrastructure, defence, renewables, marine life tracking systems, dive search & recovery operations, oil & gas and scientific discovery.You'll work at a state-of-the-art manufacturing facility in Ulverston, Cumbria, on the edge of the beautiful Lake District National Park, offering exciting lifestyle choices. You'll design, implement, and optimise FPGA-based digital architectures for sonar, acoustic processing, and subsea sensing systems. The role focuses on real-time signal acquisition, high-throughput digital signal processing (DSP), beamforming, and robust operation in demanding subsea environments. The FPGA Engineer will contribute to the development of reliable, high-performance embedded systems deployed in offshore, marine, defence, and scientific applications. What you'll do:1. FPGA Architecture & Real-Time Signal ProcessingDevelop FPGA designs for: Multi-channel acoustic data acquisition Digital down conversion (DDC) Filtering (FIR/IIR) FFT processing Beamforming algorithms Pulse compression and matched filtering Implement high-speed streaming data pipelines Optimise fixed-point arithmetic for deterministic real-time performance Design low-latency architectures suitable for active sonar systems. 2. High-Speed Interface DevelopmentImplement and validate interfaces such as: High-speed ADC/DAC interfaces JESD204 LVDS SERDES Develop memory interfaces (DDR3/DDR4) for buffering high-bandwidth acoustic data Ensure deterministic timing and synchronisation (e.g., PTP, trigger alignment). 3. Hardware Integration & Subsea ConsiderationsCollaborate with analogue and hardware engineers on: Front-end acoustic transducer electronics Low-noise acquisition chains Clocking strategies and jitter management Consider power efficiency and thermal constraints in sealed subsea systems Contribute to design for reliability in harsh marine environments. 4. Verification, Testing & Validation Develop simulation testbenches for signal processing chains Perform bit-accurate modelling (MATLAB/Python to RTL correlation) Conduct hardware bring-up and debug using:o Integrated Logic Analysers (ILA)o Oscilloscopeso Spectrum analysers Support acoustic tank testing and sea trials where required. 5. Performance Optimisation Achieve timing closure for high-speed DSP architectures Optimise FPGA resource usage (DSP slices, BRAM, LUTs) Minimise latency in signal paths Improve power efficiency for long-duration subsea deployments. 6. Documentation & Compliance Produce design documentation and verification reports Support compliance with relevant standards (e.g., EMC, CE, marine standards, defence standards where applicable) Participate in design reviews and risk assessments (FMEA). What you'll need: Strong proficiency in VHDL and/or Verilog Experience with Xilinx (AMD) or Intel FPGAs Strong understanding of: Digital signal processing Fixed-point arithmetic FFT and filtering implementations Multi-rate signal processing Experience with high-speed ADC/DAC interfacing Knowledge of clock domain crossing and timing constraints Familiarity with MATLAB or Python for DSP modelling.Qualifications, Degree in Electronic Engineering or related discipline. Postgraduate study in DSP, acoustics, or embedded systems (advantageous). Key Performance Indicators (KPIs) Successful real-time processing at required bandwidth Timing closure at target clock frequencies Low defect rate in sea trials. About the company:The company are well established, stable, and specialise in the production of high performance acoustic sensors, imaging sonar, depth sensing and navigation tracking equipment for the subsea industry.With the backing of its parent company they are now poised to launch more new products, next generation sonar systems, providing robust underwater solutions in the harshest environments for their customers worldwide. JBRP1_UKTJ
Select how often (in days) to receive an alert: Senior SAP Analytics Architect About Us Join the Capgemini UK Insights & Data team and work on a variety of projects. Be part of an increasingly diverse and collaborative team that rewards entrepreneurial spirit, quick thinking, and smart solutions. Projects range from rapid proof-of-value engagements to operationalising services that are used by millions of people. We are a large and growing team, and part of an organisation that is continually recognised as one of the 50 best places to work in the UK by both The Times and Glassdoor. Make a positive difference by applying your skills and experience. Stretch yourself and learn. Get recognition for your work: demonstrable success will result in rapid career progression. Who You Will Be Working With You will be joining the AI and Analytics team within Capgemini's Insights and Data Global Business Unit. We are an extremely talented and passionate team who focus on solving customers' business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers - we seek to ideate and bring to life what's next for our clients. The Focus Of Your Role and What You Will Do You will join the team with a responsibility to deliver industry-leading visualisation solutions to Capgemini's world class customer base. We have customers in most industry sectors and are particularly strong in Consumer Products and Retail, Public Sector, Energy and Utilities and Manufacturing. Additionally, you will work with our business development teams to build sales collateral and assist in selling new business by showcasing our data communication and storytelling expertise. Due to market demand, we are specifically looking for people with deep SAP analytics experience. Experience working with SAP Analytics Cloud will be highly valued, as will proficiency in SAP BusinessObjects and SAP BW/HANA. Certifications in any of the above technologies would be highly advantageous. You will ideally hold some form of security clearance or be eligible and willing to go through the process. What you'll do Solve problems for large corporate clients across multiple sectors Work in or lead multidisciplinary, agile, and distributed teams Develop leading visualisation solutions for our customers - based on best practices such as IBCS Tell compelling stories that engage the audience and compel them to understand the insights Coach our customers so they can make the best use of the content we deliver, guiding as required Share your passion and knowledge with others Strengthen our internal capability via tangible contributions to the AI & Analytics practice Mentor other team members What you'll bring Hands-on experience of designing and building SAP BusinessObjects, DWC, and/or HANA solutions. BW skills would be an advantage. An understanding of Datasphere and the strategic direction of SAP with regards to BDC and the AI enhancements that are coming to SAC in future releases. The ability to lead teams through multiple full lifecycle implementations A passion for data and insights Expert knowledge of BI, visualisation and storytelling concepts A desire to broaden your skillset, learning and utilising other tools as required Knowledge and experience of data warehousing concepts and SQL are desirable Experience in interfacing with senior client stakeholders - commercial management experience is an advantage What We'll Offer You Professional development. Accelerated career progression. An environment that encourages entrepreneurial spirit. A variety of rich experiences. It's all on offer at Capgemini. And although collaboration is at the core of the way we work, we also recognise individual needs with a flexible benefits package you can tailor to suit you. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often-ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing, and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family, and work-life needs. Ref. code: 430077 Posted on: 4 Mar 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: Birmingham, GB; Newcastle, GB; Bristol, GB; London, GB; Manchester, GB
08/06/2026
Full time
Select how often (in days) to receive an alert: Senior SAP Analytics Architect About Us Join the Capgemini UK Insights & Data team and work on a variety of projects. Be part of an increasingly diverse and collaborative team that rewards entrepreneurial spirit, quick thinking, and smart solutions. Projects range from rapid proof-of-value engagements to operationalising services that are used by millions of people. We are a large and growing team, and part of an organisation that is continually recognised as one of the 50 best places to work in the UK by both The Times and Glassdoor. Make a positive difference by applying your skills and experience. Stretch yourself and learn. Get recognition for your work: demonstrable success will result in rapid career progression. Who You Will Be Working With You will be joining the AI and Analytics team within Capgemini's Insights and Data Global Business Unit. We are an extremely talented and passionate team who focus on solving customers' business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers - we seek to ideate and bring to life what's next for our clients. The Focus Of Your Role and What You Will Do You will join the team with a responsibility to deliver industry-leading visualisation solutions to Capgemini's world class customer base. We have customers in most industry sectors and are particularly strong in Consumer Products and Retail, Public Sector, Energy and Utilities and Manufacturing. Additionally, you will work with our business development teams to build sales collateral and assist in selling new business by showcasing our data communication and storytelling expertise. Due to market demand, we are specifically looking for people with deep SAP analytics experience. Experience working with SAP Analytics Cloud will be highly valued, as will proficiency in SAP BusinessObjects and SAP BW/HANA. Certifications in any of the above technologies would be highly advantageous. You will ideally hold some form of security clearance or be eligible and willing to go through the process. What you'll do Solve problems for large corporate clients across multiple sectors Work in or lead multidisciplinary, agile, and distributed teams Develop leading visualisation solutions for our customers - based on best practices such as IBCS Tell compelling stories that engage the audience and compel them to understand the insights Coach our customers so they can make the best use of the content we deliver, guiding as required Share your passion and knowledge with others Strengthen our internal capability via tangible contributions to the AI & Analytics practice Mentor other team members What you'll bring Hands-on experience of designing and building SAP BusinessObjects, DWC, and/or HANA solutions. BW skills would be an advantage. An understanding of Datasphere and the strategic direction of SAP with regards to BDC and the AI enhancements that are coming to SAC in future releases. The ability to lead teams through multiple full lifecycle implementations A passion for data and insights Expert knowledge of BI, visualisation and storytelling concepts A desire to broaden your skillset, learning and utilising other tools as required Knowledge and experience of data warehousing concepts and SQL are desirable Experience in interfacing with senior client stakeholders - commercial management experience is an advantage What We'll Offer You Professional development. Accelerated career progression. An environment that encourages entrepreneurial spirit. A variety of rich experiences. It's all on offer at Capgemini. And although collaboration is at the core of the way we work, we also recognise individual needs with a flexible benefits package you can tailor to suit you. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often-ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing, and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family, and work-life needs. Ref. code: 430077 Posted on: 4 Mar 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: Birmingham, GB; Newcastle, GB; Bristol, GB; London, GB; Manchester, GB
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
07/06/2026
Full time
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
