White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
08/06/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Senior Embedded Linux Engineer Fleet Semi Remote - £65k - £70k Hexwired Recruitment has recently partnered with a rapidly expanding Electronics manufacturer based near Fleet now seeking a Senior Embedded Linux engineer to help develop a brand new product the company is looking to bring to the market. The company are expanding due to increased interest in their products and are now seeking a talented Embedded Linux engineer ideally with experience designing device drivers from scratch as well as exposure to Networking protocols. This is a semi remote Embedded Linux Engineer role, able to offer semi remote work as well as the chance to work on a range of SoC devices. Key Skills Degree in Embedded Systems, Electronics or similar 3+ years commercial Embedded software development experience Good commercial Embedded Linux experience Good experience working on networking protocols Experience working on products utilising PCIe or similar buses Excellent experience working on wireless products (Telecoms, IOT, satcoms etc) is highly desirable but not essential The company are looking to offer £75k dependent on experience along with excellent benefits and flexible working. If you re interested in this Senior Embedded Linux role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, .Net, Golang Development, Machine Learning, FPGA, Electronics, Test, Devops, AI, Machine Learning, Data Science or Simulation contact us today.
08/06/2026
Full time
Senior Embedded Linux Engineer Fleet Semi Remote - £65k - £70k Hexwired Recruitment has recently partnered with a rapidly expanding Electronics manufacturer based near Fleet now seeking a Senior Embedded Linux engineer to help develop a brand new product the company is looking to bring to the market. The company are expanding due to increased interest in their products and are now seeking a talented Embedded Linux engineer ideally with experience designing device drivers from scratch as well as exposure to Networking protocols. This is a semi remote Embedded Linux Engineer role, able to offer semi remote work as well as the chance to work on a range of SoC devices. Key Skills Degree in Embedded Systems, Electronics or similar 3+ years commercial Embedded software development experience Good commercial Embedded Linux experience Good experience working on networking protocols Experience working on products utilising PCIe or similar buses Excellent experience working on wireless products (Telecoms, IOT, satcoms etc) is highly desirable but not essential The company are looking to offer £75k dependent on experience along with excellent benefits and flexible working. If you re interested in this Senior Embedded Linux role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, .Net, Golang Development, Machine Learning, FPGA, Electronics, Test, Devops, AI, Machine Learning, Data Science or Simulation contact us today.
Senior Data Engineer London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 70,000 to 80,000 dependent on experience Ref J13073 A fast-growing AI SaaS company is looking for a Senior Data Engineer to play a key role in building the data foundations behind its analytics and AI products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works. The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities Design, build and maintain scalable data pipelines Own data pipelines from source through to production Work with complex and evolving datasets to create reliable outputs Improve data quality, performance and reliability as the platform grows Collaborate with product, analytics and machine learning teams Contribute to code reviews and engineering best practice Support and mentor other engineers What We Are Looking For Proven Python and SQL experience within production environments Experience delivering data transformation projects end to end Experience with Spark, Snowflake, BigQuery or similar technologies Solid experience working with AWS, GCP or Azure Comfortable working with complex, imperfect datasets Experience owning solutions from design through to deployment A collaborative approach and willingness to support others If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)
07/06/2026
Full time
Senior Data Engineer London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 70,000 to 80,000 dependent on experience Ref J13073 A fast-growing AI SaaS company is looking for a Senior Data Engineer to play a key role in building the data foundations behind its analytics and AI products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works. The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities Design, build and maintain scalable data pipelines Own data pipelines from source through to production Work with complex and evolving datasets to create reliable outputs Improve data quality, performance and reliability as the platform grows Collaborate with product, analytics and machine learning teams Contribute to code reviews and engineering best practice Support and mentor other engineers What We Are Looking For Proven Python and SQL experience within production environments Experience delivering data transformation projects end to end Experience with Spark, Snowflake, BigQuery or similar technologies Solid experience working with AWS, GCP or Azure Comfortable working with complex, imperfect datasets Experience owning solutions from design through to deployment A collaborative approach and willingness to support others If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)
Ekascloud is seeking a passionate individual to train others in data engineering skills. The role involves developing training material and leading workshops in the realm of Big Data and Cloud Technologies. Candidates should have at least 4 years of experience in Big Data, with strong skills in machine learning and data engineering applications. The position offers a dynamic environment where you can shape the future of data-related products.
07/06/2026
Full time
Ekascloud is seeking a passionate individual to train others in data engineering skills. The role involves developing training material and leading workshops in the realm of Big Data and Cloud Technologies. Candidates should have at least 4 years of experience in Big Data, with strong skills in machine learning and data engineering applications. The position offers a dynamic environment where you can shape the future of data-related products.
Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies. Join us as a Senior ML Research Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms and solutions Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI and incorporate new findings into our models and methodologies Represent Bloomberg at scientific and industry conference and in open-source communities Publish product and research findings in documentation, whitepapers or publications to leading academic venues We are looking for a Senior ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. A track record of authoring publications in top conferences and journals is a strong plus We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
07/06/2026
Full time
Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies. Join us as a Senior ML Research Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms and solutions Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI and incorporate new findings into our models and methodologies Represent Bloomberg at scientific and industry conference and in open-source communities Publish product and research findings in documentation, whitepapers or publications to leading academic venues We are looking for a Senior ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. A track record of authoring publications in top conferences and journals is a strong plus We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
"It feels good to have a career with real purpose." Location: Alderley Park (Wilmslow) or Glasgow or Edinburgh Working Style: Hybrid 50% home/office based We have a fantastic opportunity for a Data Engineer to join Royal London's Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools and other technical assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Support the Senior Data Engineer in their role as technical lead for the team, helping to set and maintain technical standards. Act as an internal SME to the team for data, tooling and the technical practice around data engineering, analytics, data science and machine learning. The purpose of the Analytics Engineering team is to create business value through delivery of specific Analytics, Data Science, Machine Learning and Artificial Intelligence projects and initiatives. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. This team supports the other teams within the Analytics & Insight function, providing them with a Data and Analytics service to support their insight activities. The team will also act as a Centre-of-Excellence in Analytics and Data Science, helping to take forward the Group's capability in these areas and our ambition to become "Data Led". More about the role: Source and prepare data for use in Business Intelligence (BI), Analytics and Data Science projects and initiatives. Source, evaluate, interpret, and manage multiple disparate data sources. Understand, own, and manage the team's data - working with business, technology and external partners. Design and develop data pipelines, from both the on-premises and cloud platforms. Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology. Productionise data pipelines created by the team through CI/CD so that they are available for consumption for the data science and data visualisation team. Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field. Maintain knowledge of data related technologies and practices. Help to ensure that robust software engineering practices are adhered to by the team. More about you: Experience in data engineering and application of data management design patterns, such as data lakes and data warehouses. Experience of programming languages: SQL, Python & pySpark etc. or equivalents. Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents. Experience of cloud-based Data and Analytics technologies, including a minimum of one of: Databricks, Snowflake, Azure Data Factory / Fabric. A proven track record in working in cross-functional projects to a successful conclusion. Experience of managing stakeholders. A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R. Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS. Knowledge of the technology side of Analytics and Data Science, including principles of software engineering. If you think you would be a great fit for our team at Royal London but don't meet all the requirements of the role, please get in touch as your application will still be considered. Inclusion, diversity and belonging We're an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected - whatever their background
07/06/2026
Full time
"It feels good to have a career with real purpose." Location: Alderley Park (Wilmslow) or Glasgow or Edinburgh Working Style: Hybrid 50% home/office based We have a fantastic opportunity for a Data Engineer to join Royal London's Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools and other technical assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Support the Senior Data Engineer in their role as technical lead for the team, helping to set and maintain technical standards. Act as an internal SME to the team for data, tooling and the technical practice around data engineering, analytics, data science and machine learning. The purpose of the Analytics Engineering team is to create business value through delivery of specific Analytics, Data Science, Machine Learning and Artificial Intelligence projects and initiatives. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. This team supports the other teams within the Analytics & Insight function, providing them with a Data and Analytics service to support their insight activities. The team will also act as a Centre-of-Excellence in Analytics and Data Science, helping to take forward the Group's capability in these areas and our ambition to become "Data Led". More about the role: Source and prepare data for use in Business Intelligence (BI), Analytics and Data Science projects and initiatives. Source, evaluate, interpret, and manage multiple disparate data sources. Understand, own, and manage the team's data - working with business, technology and external partners. Design and develop data pipelines, from both the on-premises and cloud platforms. Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology. Productionise data pipelines created by the team through CI/CD so that they are available for consumption for the data science and data visualisation team. Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field. Maintain knowledge of data related technologies and practices. Help to ensure that robust software engineering practices are adhered to by the team. More about you: Experience in data engineering and application of data management design patterns, such as data lakes and data warehouses. Experience of programming languages: SQL, Python & pySpark etc. or equivalents. Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents. Experience of cloud-based Data and Analytics technologies, including a minimum of one of: Databricks, Snowflake, Azure Data Factory / Fabric. A proven track record in working in cross-functional projects to a successful conclusion. Experience of managing stakeholders. A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R. Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS. Knowledge of the technology side of Analytics and Data Science, including principles of software engineering. If you think you would be a great fit for our team at Royal London but don't meet all the requirements of the role, please get in touch as your application will still be considered. Inclusion, diversity and belonging We're an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected - whatever their background
The Royal Marsden NHS Foundation Trust is a centre of excellence for research, education, and care in the treatment of Cancer. The Trust has an outstanding reputation for information and has recently implemented a new digital health record, data warehouse and business intelligence solutions. The information team currently support management and clinicians throughout the organisation by providing information and analysis for planning, decision making, quality assurance and improvement. We are further developing our analytical tools and capabilities to rapidly increase the utilisation of anonymised clinical data to support research and to maximise the use of clinical data to increase understanding of the disease and treatment outcomes. We are looking for motivated data engineer to join our team, to play a pivotal role supporting the Information Development Manager to shape, develop, and maintain the Trusts new data ecosystem. You will be educated to degree level and have experience and expertise in developing and maintaining Microsoft based SQL data warehouses and producing technical documentation to support a wide range of users. You must be self-motivated and possess excellent interpersonal skills and the ability to establish effective working relationships with all levels of staff within and external to the organisation. For more information, please contact Des Campbell, Information Development Manager at Main duties of the job 1.1. To maintain and manage the corporate data warehouse and Trusted Research Environment. This will include and is not limited to monitoring databases, resolving performance issues, and testing system upgrades and patches. 1.2. To pro-actively in conjunction with our cloud hosting provider optimise environment performance and explore and recommend opportunities of cost reduction. 1.3. To develop complex data structures, data models and Extract Transformation and Load processes to support the trust Data warehouse at the direction of the Database Architect. 1.4. Develop, implement, and assist in the maintenance of a data asset catalogue to facilitate data discovery. 1.5. As part of the Performance and Information directorate, to work alongside information analysts, performance managers, data quality managers to develop data models to enable the creation of self-service analytics in a controlled and governed way. Working for our organisation The Royal Marsden NHS Foundation Trust is a world-leading cancer centre. Our role is to offer our patients the best cancer care available anywhere in the world, and to continue to make a global contribution to finding better ways of diagnosing and treating cancer. We employ over 4,500 staff in a diverse range of careers including nursing, medical, science, radiography, pharmacy, occupational therapy, finance and administrative services. We have two hospitals - one in Chelsea, London, and one in Sutton, Surrey - as well as a Medical Daycare Unit in Kingston Hospital. At The Royal Marsden, we deal with cancer every day, so we understand how valuable life is. When people entrust their lives to us, they have the right to demand the very best. That's why the pursuit of excellence lies at the heart of everything we do. At the heart of the hospital is our dedicated team. We offer a stimulating and dynamic working environment, a wide range of staff benefits, learning and development opportunities and clear career pathways. There are opportunities to work flexibly across a range of areas and specialities and we welcome flexible working requests from point of hire to support employees work life balance. We are looking for employees who aspire to excellence, share our values and can play a crucial role in our on-going achievements. Detailed job description and main responsibilities For further information on this role, please see the attached detailed Job Description and Person Specification 2.1 To work as part of the Information Development team to build, manage, monitor, and develop the corporate data warehouse environment. 2.2 Ensure the integrity of the data warehouse and design and build adequate back-up solutions. 2.3 Contribute to business continuity and disaster recovery planning. 2.4 Maintain an in-depth knowledge of Microsoft Azure and SQL Server, and provide expert advice regarding its application, act as a point of escalation for investigation and resolution of complex technical issues. 2.5 Review requirements and specifications for the implementation, testing, deployment and maintenance of new data models. 2.6 Monitor service component capacity, resource costs and initiate actions to resolve any shortfalls according to agreed procedures. Person specification Education/Qualifications Educated to degree level (or equivalent qualification/experience) Microsoft certified: Azure Fundamentals, Data Fundamentals, Database Administrator, Designing & implementing DevOps Solutions Evidence of on-going professional development Experience Significant experience in a database developer role in a multi-professional organisation Evidence of having developed complex database systems Evidence of having administered Azure data warehouses including but not limited to: SQL Server including SSIS, T-SQL, Data Factory/ Synapse Pipelines, Azure DevOps, including Repos & Test Plans, Azure Data Catalogue, Serverless application development Experience of working within an Agile and Continuous Integration environment Knowledge and experience of working with sensitive information within the NHS Knowledge and understanding of Machine Learning data pipelines Skills Abilities/knowledge A strong commitment to customer service delivery and excellent organisational skills Well-developed technical troubleshooting, problem solving and analytical skills Ability to negotiate with senior leaders and provide alternative solutions to complex issues as means to find a mutual agreement. An in depth understanding of schema creation for databases & management of permissions Other Requirements Self-motivated: generates ideas and carries them forward, keen to deliver results and take ownership of work Self-disciplined: able to work on own initiative, works to high standards Good communicator: able to communicate clearly and effectively, both verbally and in writing Good inter-personal skills: able to understand the needs of information users and build good relationships with other departments The Royal Marsden values diversity and is committed to the recruitment and retention of underrepresented minority groups. We particularly welcome applications from Black, Asian and minority ethnic candidates, LGBTQ+ candidates and candidates with disabilities. As a Disability Confident Employer, we are working to create a workplace that enables all staff to reach their full potential. We are committed to this because we know that greater diversity and inclusion will lead to an even greater positive impact for the people we serve. Due to the high volumes of applications we receive, we reserve the right to close any adverts before the published closing date once we have received a sufficient number of applications. We advise you to submit your application as early as possible to prevent disappointment. Please ensure your information is accurate to avoid errors with processing your application All applicants will be contacted by email to the address supplied on your application. Applicants are advised to check their email accounts regularly and to ensure that email filters are set to allow our emails. Flu Vaccination - What We Expect of our Staff At The Royal Marsden we have an immune compromised patient population who we must protect as much as we can against the flu virus. Each year, seasonal flu affects thousands of people in the UK. Occurring mainly in winter, it is an infectious respiratory disease capable of producing symptoms ranging from those similar to a common cold, through to very severe or even fatal disease. The wellbeing of our staff and patients is of the upmost importance to us, and it is the expectation of The Royal Marsden that all patient-facing staff have an annual flu vaccination, provided free of charge by the Trust.
07/06/2026
Full time
The Royal Marsden NHS Foundation Trust is a centre of excellence for research, education, and care in the treatment of Cancer. The Trust has an outstanding reputation for information and has recently implemented a new digital health record, data warehouse and business intelligence solutions. The information team currently support management and clinicians throughout the organisation by providing information and analysis for planning, decision making, quality assurance and improvement. We are further developing our analytical tools and capabilities to rapidly increase the utilisation of anonymised clinical data to support research and to maximise the use of clinical data to increase understanding of the disease and treatment outcomes. We are looking for motivated data engineer to join our team, to play a pivotal role supporting the Information Development Manager to shape, develop, and maintain the Trusts new data ecosystem. You will be educated to degree level and have experience and expertise in developing and maintaining Microsoft based SQL data warehouses and producing technical documentation to support a wide range of users. You must be self-motivated and possess excellent interpersonal skills and the ability to establish effective working relationships with all levels of staff within and external to the organisation. For more information, please contact Des Campbell, Information Development Manager at Main duties of the job 1.1. To maintain and manage the corporate data warehouse and Trusted Research Environment. This will include and is not limited to monitoring databases, resolving performance issues, and testing system upgrades and patches. 1.2. To pro-actively in conjunction with our cloud hosting provider optimise environment performance and explore and recommend opportunities of cost reduction. 1.3. To develop complex data structures, data models and Extract Transformation and Load processes to support the trust Data warehouse at the direction of the Database Architect. 1.4. Develop, implement, and assist in the maintenance of a data asset catalogue to facilitate data discovery. 1.5. As part of the Performance and Information directorate, to work alongside information analysts, performance managers, data quality managers to develop data models to enable the creation of self-service analytics in a controlled and governed way. Working for our organisation The Royal Marsden NHS Foundation Trust is a world-leading cancer centre. Our role is to offer our patients the best cancer care available anywhere in the world, and to continue to make a global contribution to finding better ways of diagnosing and treating cancer. We employ over 4,500 staff in a diverse range of careers including nursing, medical, science, radiography, pharmacy, occupational therapy, finance and administrative services. We have two hospitals - one in Chelsea, London, and one in Sutton, Surrey - as well as a Medical Daycare Unit in Kingston Hospital. At The Royal Marsden, we deal with cancer every day, so we understand how valuable life is. When people entrust their lives to us, they have the right to demand the very best. That's why the pursuit of excellence lies at the heart of everything we do. At the heart of the hospital is our dedicated team. We offer a stimulating and dynamic working environment, a wide range of staff benefits, learning and development opportunities and clear career pathways. There are opportunities to work flexibly across a range of areas and specialities and we welcome flexible working requests from point of hire to support employees work life balance. We are looking for employees who aspire to excellence, share our values and can play a crucial role in our on-going achievements. Detailed job description and main responsibilities For further information on this role, please see the attached detailed Job Description and Person Specification 2.1 To work as part of the Information Development team to build, manage, monitor, and develop the corporate data warehouse environment. 2.2 Ensure the integrity of the data warehouse and design and build adequate back-up solutions. 2.3 Contribute to business continuity and disaster recovery planning. 2.4 Maintain an in-depth knowledge of Microsoft Azure and SQL Server, and provide expert advice regarding its application, act as a point of escalation for investigation and resolution of complex technical issues. 2.5 Review requirements and specifications for the implementation, testing, deployment and maintenance of new data models. 2.6 Monitor service component capacity, resource costs and initiate actions to resolve any shortfalls according to agreed procedures. Person specification Education/Qualifications Educated to degree level (or equivalent qualification/experience) Microsoft certified: Azure Fundamentals, Data Fundamentals, Database Administrator, Designing & implementing DevOps Solutions Evidence of on-going professional development Experience Significant experience in a database developer role in a multi-professional organisation Evidence of having developed complex database systems Evidence of having administered Azure data warehouses including but not limited to: SQL Server including SSIS, T-SQL, Data Factory/ Synapse Pipelines, Azure DevOps, including Repos & Test Plans, Azure Data Catalogue, Serverless application development Experience of working within an Agile and Continuous Integration environment Knowledge and experience of working with sensitive information within the NHS Knowledge and understanding of Machine Learning data pipelines Skills Abilities/knowledge A strong commitment to customer service delivery and excellent organisational skills Well-developed technical troubleshooting, problem solving and analytical skills Ability to negotiate with senior leaders and provide alternative solutions to complex issues as means to find a mutual agreement. An in depth understanding of schema creation for databases & management of permissions Other Requirements Self-motivated: generates ideas and carries them forward, keen to deliver results and take ownership of work Self-disciplined: able to work on own initiative, works to high standards Good communicator: able to communicate clearly and effectively, both verbally and in writing Good inter-personal skills: able to understand the needs of information users and build good relationships with other departments The Royal Marsden values diversity and is committed to the recruitment and retention of underrepresented minority groups. We particularly welcome applications from Black, Asian and minority ethnic candidates, LGBTQ+ candidates and candidates with disabilities. As a Disability Confident Employer, we are working to create a workplace that enables all staff to reach their full potential. We are committed to this because we know that greater diversity and inclusion will lead to an even greater positive impact for the people we serve. Due to the high volumes of applications we receive, we reserve the right to close any adverts before the published closing date once we have received a sufficient number of applications. We advise you to submit your application as early as possible to prevent disappointment. Please ensure your information is accurate to avoid errors with processing your application All applicants will be contacted by email to the address supplied on your application. Applicants are advised to check their email accounts regularly and to ensure that email filters are set to allow our emails. Flu Vaccination - What We Expect of our Staff At The Royal Marsden we have an immune compromised patient population who we must protect as much as we can against the flu virus. Each year, seasonal flu affects thousands of people in the UK. Occurring mainly in winter, it is an infectious respiratory disease capable of producing symptoms ranging from those similar to a common cold, through to very severe or even fatal disease. The wellbeing of our staff and patients is of the upmost importance to us, and it is the expectation of The Royal Marsden that all patient-facing staff have an annual flu vaccination, provided free of charge by the Trust.
The Royal Marsden NHS Foundation Trust is a centre of excellence for research, education, and care in the treatment of Cancer. The Trust has an outstanding reputation for information and has recently implemented a new digital health record, data warehouse and business intelligence solutions. The information team currently supports management and clinicians throughout the organisation by providing information and analysis for planning, decision making, quality assurance and improvement. We are further developing our analytical tools and capabilities to rapidly increase the utilisation of anonymised clinical data to support research and to maximise the use of clinical data to increase understanding of the disease and treatment outcomes. We are looking for a motivated experienced data engineer to join our team, to play a pivotal role supporting the Information Development Manager to shape, develop, and maintain the Trust's new data ecosystem. Main duties of the job To develop, maintain and support the corporate data warehouse and Trusted Research Environment. This will include and is not limited to data engineering tasks, data pipeline development, and resolving performance issues. To work with our cloud hosting provider to ensure effective resource utilisation and consumption patterns. To develop complex data structures, data models and Extract Transformation and Load processes using Azure Synapse Analytics and related Azure services to support the trust Data warehouse at the direction of the Database Architect and Data Infrastructure Manager. To apply data engineering techniques including data wrangling, cleansing, transformation and integration to ensure high quality data pipelines and datasets. Develop, implement, and assist in the maintenance of a data asset catalogue to facilitate data discovery. Detailed job description and main responsibilities For further information on this role, please see the attached detailed Job Description and Person Specification To work as part of the Information Development team to develop, support, and enhance the corporate data warehouse environment. Support the integrity of the data warehouse and contribute to the design and implementation of adequate back up solutions. Contribute to business continuity and disaster recovery planning. Maintain an in depth knowledge of Microsoft Azure Synapse Analytics, and related Azure data services, and provide expert advice regarding their application, act as a point of escalation for investigation and resolution of complex technical issues. Lead the development and implementation of data pipelines using Synapse Pipelines and other ETL/ELT tools to ingest, transform and load data from various sources. Act as the SME for data engineering, providing authoritative input on schema design, data quality, and interoperability. Person specification Education/Qualifications Educated to degree level (or equivalent qualification/experience) Evidence of on going professional development Microsoft certified: Azure Fundamentals, Data Fundamentals, Database Administrator, Designing & implementing DevOps Solutions Experience Significant experience in a database developer role in a multi professional organisation Evidence of having developed complex database systems Evidence of having administered Azure data warehouses including but not limited to SQL Server including SSIS, T SQL, Data Factory/ Synapse Pipelines, Azure DevOps, including Repos & Test Plans, Azure Data Catalogue, Serverless application development Knowledge and understanding of modern data analytics platforms including but not limited to Python, R, PowerBI, Office 365 Experience of working within an Agile and Continuous Integration environment Knowledge and experience of working with sensitive information within the NHS Knowledge and understanding of Machine Learning data pipelines Skills, Abilities & Knowledge A strong commitment to customer service delivery and excellent organisational skills Ability to evaluate and respond to rapidly changing operational situations, often under pressure and with changing and sometimes conflicting priorities Excellent communication skills especially when dealing with complex technical information and colleagues who have limited IT knowledge and understanding Ability to document technical procedures/standards An in depth understanding of schema creation for databases & management of permissions Other Requirements Self motivated: generates ideas and carries them forward, keen to deliver results and take ownership of work Self disciplined: able to work on own initiative, works to high standards Team working ability to work and contribute well within a team Good communicator: able to communicate clearly and effectively, both verbally and in writing Flu Vaccination - What We Expect of our Staff At The Royal Marsden we have an immune compromised patient population who we must protect as much as we can against the flu virus. Each year, seasonal flu affects thousands of people in the UK. Occurring mainly in winter, it is an infectious respiratory disease capable of producing symptoms ranging from those similar to a common cold, through to very severe or even fatal disease. The wellbeing of our staff and patients is of the upmost importance to us, and it is the expectation of The Royal Marsden that all patient facing staff have an annual flu vaccination, provided free of charge by the Trust. The Royal Marsden values diversity and is committed to the recruitment and retention of under represented minority groups. We particularly welcome applications from Black, Asian and minority ethnic candidates, LGBTQ+ candidates and candidates with disabilities. As a Disability Confident Employer, we are working to create a workplace that enables all staff to reach their full potential. We are committed to this because we know that greater diversity and inclusion will lead to an even greater positive impact for the people we serve.
07/06/2026
Full time
The Royal Marsden NHS Foundation Trust is a centre of excellence for research, education, and care in the treatment of Cancer. The Trust has an outstanding reputation for information and has recently implemented a new digital health record, data warehouse and business intelligence solutions. The information team currently supports management and clinicians throughout the organisation by providing information and analysis for planning, decision making, quality assurance and improvement. We are further developing our analytical tools and capabilities to rapidly increase the utilisation of anonymised clinical data to support research and to maximise the use of clinical data to increase understanding of the disease and treatment outcomes. We are looking for a motivated experienced data engineer to join our team, to play a pivotal role supporting the Information Development Manager to shape, develop, and maintain the Trust's new data ecosystem. Main duties of the job To develop, maintain and support the corporate data warehouse and Trusted Research Environment. This will include and is not limited to data engineering tasks, data pipeline development, and resolving performance issues. To work with our cloud hosting provider to ensure effective resource utilisation and consumption patterns. To develop complex data structures, data models and Extract Transformation and Load processes using Azure Synapse Analytics and related Azure services to support the trust Data warehouse at the direction of the Database Architect and Data Infrastructure Manager. To apply data engineering techniques including data wrangling, cleansing, transformation and integration to ensure high quality data pipelines and datasets. Develop, implement, and assist in the maintenance of a data asset catalogue to facilitate data discovery. Detailed job description and main responsibilities For further information on this role, please see the attached detailed Job Description and Person Specification To work as part of the Information Development team to develop, support, and enhance the corporate data warehouse environment. Support the integrity of the data warehouse and contribute to the design and implementation of adequate back up solutions. Contribute to business continuity and disaster recovery planning. Maintain an in depth knowledge of Microsoft Azure Synapse Analytics, and related Azure data services, and provide expert advice regarding their application, act as a point of escalation for investigation and resolution of complex technical issues. Lead the development and implementation of data pipelines using Synapse Pipelines and other ETL/ELT tools to ingest, transform and load data from various sources. Act as the SME for data engineering, providing authoritative input on schema design, data quality, and interoperability. Person specification Education/Qualifications Educated to degree level (or equivalent qualification/experience) Evidence of on going professional development Microsoft certified: Azure Fundamentals, Data Fundamentals, Database Administrator, Designing & implementing DevOps Solutions Experience Significant experience in a database developer role in a multi professional organisation Evidence of having developed complex database systems Evidence of having administered Azure data warehouses including but not limited to SQL Server including SSIS, T SQL, Data Factory/ Synapse Pipelines, Azure DevOps, including Repos & Test Plans, Azure Data Catalogue, Serverless application development Knowledge and understanding of modern data analytics platforms including but not limited to Python, R, PowerBI, Office 365 Experience of working within an Agile and Continuous Integration environment Knowledge and experience of working with sensitive information within the NHS Knowledge and understanding of Machine Learning data pipelines Skills, Abilities & Knowledge A strong commitment to customer service delivery and excellent organisational skills Ability to evaluate and respond to rapidly changing operational situations, often under pressure and with changing and sometimes conflicting priorities Excellent communication skills especially when dealing with complex technical information and colleagues who have limited IT knowledge and understanding Ability to document technical procedures/standards An in depth understanding of schema creation for databases & management of permissions Other Requirements Self motivated: generates ideas and carries them forward, keen to deliver results and take ownership of work Self disciplined: able to work on own initiative, works to high standards Team working ability to work and contribute well within a team Good communicator: able to communicate clearly and effectively, both verbally and in writing Flu Vaccination - What We Expect of our Staff At The Royal Marsden we have an immune compromised patient population who we must protect as much as we can against the flu virus. Each year, seasonal flu affects thousands of people in the UK. Occurring mainly in winter, it is an infectious respiratory disease capable of producing symptoms ranging from those similar to a common cold, through to very severe or even fatal disease. The wellbeing of our staff and patients is of the upmost importance to us, and it is the expectation of The Royal Marsden that all patient facing staff have an annual flu vaccination, provided free of charge by the Trust. The Royal Marsden values diversity and is committed to the recruitment and retention of under represented minority groups. We particularly welcome applications from Black, Asian and minority ethnic candidates, LGBTQ+ candidates and candidates with disabilities. As a Disability Confident Employer, we are working to create a workplace that enables all staff to reach their full potential. We are committed to this because we know that greater diversity and inclusion will lead to an even greater positive impact for the people we serve.
Bloomberg is searching for a Senior ML Research Engineer to join its Engineering AI team in London. The candidate will have the opportunity to drive AI innovations, collaborate on production systems, and contribute to exciting initiatives such as anomaly detection and financial forecasting. A Ph.D. in a relevant field is preferred, along with practical experience in Machine Learning and software engineering. The role offers the chance to represent Bloomberg in scientific communities and publish findings in top-tier venues.
07/06/2026
Full time
Bloomberg is searching for a Senior ML Research Engineer to join its Engineering AI team in London. The candidate will have the opportunity to drive AI innovations, collaborate on production systems, and contribute to exciting initiatives such as anomaly detection and financial forecasting. A Ph.D. in a relevant field is preferred, along with practical experience in Machine Learning and software engineering. The role offers the chance to represent Bloomberg in scientific communities and publish findings in top-tier venues.
Role Overview Formula 1 covers a wide range of disciplines across various industry sectors, drawing the very best from teams of technicians, engineers and media rights specialists to drive the sport's innovation and impact beyond the track. We are recruiting a Senior Track Systems Technician for our Track Systems team based at our Biggin Hill office. The role involves installing, testing and maintaining timing systems and related hardware for Formula 1 events worldwide. Main Duties & Responsibilities Competently install the timing loops, beacons and track temperature sensors in the surface of the track, including manual work such as digging, soldering, operation of machinery and tools (health and safety training provided). Install, test and terminate co axial cable and multi core twisted pair data cable used for loop and decoder data communications. Understand the timing data acquisition system and related hardware, including configuring components. Fault find on basic IT networks and cable systems. Compile and publish reports and fault logs for the department. Work outdoors in various global destinations, hot or cold, as required. Ensure department and company tools and equipment are correctly used, maintained and freighted between races. Terminate AS Motorsport type connectors and build or repair simple looms for testing or operations. Read, comprehend and follow F1 Circuit Drawings to set up equipment correctly for a race. Commission department hardware and software systems, carry out fault diagnosis and repairs. Monitor and verify incoming and outgoing data using F1 software to ensure correct function of company systems, reporting issues to the Team Manager or Group Manager. Plan systems installations and liaise with other departments or external parties to meet stakeholder requirements. Communicate with stakeholders and clients of our systems via the F1 Teams Liaison system. Log and update issues in the company fault tracking system. Maintain the department equipment manifest, ensuring an adequate level of working spares. What Are We Looking For? Personal Qualities: Excellent written and oral communication Excellent time management skills Comfortable working under pressure in a live broadcast environment Ability to travel regularly for extended periods (1 to 3 weeks) Experience: Experience in fault finding on electrical/electronic wiring systems Proficient in reading, understanding and working to wiring diagrams and technical drawings Experience in technical report writing Knowledge & Skills: Basic knowledge of TCP/IP systems Basic understanding of CAN protocols and the F1 on car equipment Why join the force behind the sport? Joining F1 means becoming part of a team that values innovation, collaboration and personal growth. We offer a dynamic environment where ideas are heard and employee contributions have real impact. Private Healthcare scheme Dental Care 4 x Grand Prix Paddock passes per season Enhanced maternity/paternity leave and other family planning policies A free staff shuttle service running to and from surrounding train stations near Biggin Hill Free healthy snacks in our offices Subsidised canteen in Biggin Hill, serving breakfast and lunch 25 days annual leave and 8 Bank Holiday days, plus a Christmas period closure Opportunities to develop and request training for your role via our in house Learning and Development team Discount on F1 merchandise Discount at F1's experiences including F1 Arcade and F1 Drive Perkbox benefit portal and more Division: Technical
07/06/2026
Full time
Role Overview Formula 1 covers a wide range of disciplines across various industry sectors, drawing the very best from teams of technicians, engineers and media rights specialists to drive the sport's innovation and impact beyond the track. We are recruiting a Senior Track Systems Technician for our Track Systems team based at our Biggin Hill office. The role involves installing, testing and maintaining timing systems and related hardware for Formula 1 events worldwide. Main Duties & Responsibilities Competently install the timing loops, beacons and track temperature sensors in the surface of the track, including manual work such as digging, soldering, operation of machinery and tools (health and safety training provided). Install, test and terminate co axial cable and multi core twisted pair data cable used for loop and decoder data communications. Understand the timing data acquisition system and related hardware, including configuring components. Fault find on basic IT networks and cable systems. Compile and publish reports and fault logs for the department. Work outdoors in various global destinations, hot or cold, as required. Ensure department and company tools and equipment are correctly used, maintained and freighted between races. Terminate AS Motorsport type connectors and build or repair simple looms for testing or operations. Read, comprehend and follow F1 Circuit Drawings to set up equipment correctly for a race. Commission department hardware and software systems, carry out fault diagnosis and repairs. Monitor and verify incoming and outgoing data using F1 software to ensure correct function of company systems, reporting issues to the Team Manager or Group Manager. Plan systems installations and liaise with other departments or external parties to meet stakeholder requirements. Communicate with stakeholders and clients of our systems via the F1 Teams Liaison system. Log and update issues in the company fault tracking system. Maintain the department equipment manifest, ensuring an adequate level of working spares. What Are We Looking For? Personal Qualities: Excellent written and oral communication Excellent time management skills Comfortable working under pressure in a live broadcast environment Ability to travel regularly for extended periods (1 to 3 weeks) Experience: Experience in fault finding on electrical/electronic wiring systems Proficient in reading, understanding and working to wiring diagrams and technical drawings Experience in technical report writing Knowledge & Skills: Basic knowledge of TCP/IP systems Basic understanding of CAN protocols and the F1 on car equipment Why join the force behind the sport? Joining F1 means becoming part of a team that values innovation, collaboration and personal growth. We offer a dynamic environment where ideas are heard and employee contributions have real impact. Private Healthcare scheme Dental Care 4 x Grand Prix Paddock passes per season Enhanced maternity/paternity leave and other family planning policies A free staff shuttle service running to and from surrounding train stations near Biggin Hill Free healthy snacks in our offices Subsidised canteen in Biggin Hill, serving breakfast and lunch 25 days annual leave and 8 Bank Holiday days, plus a Christmas period closure Opportunities to develop and request training for your role via our in house Learning and Development team Discount on F1 merchandise Discount at F1's experiences including F1 Arcade and F1 Drive Perkbox benefit portal and more Division: Technical
Senior Deep Learning Engineer - Quant Trading London, Greater London £120k - £150k per year Senior Deep Learning Engineer (Python TensorFlow Lattice) London to £150k+ Do you have expertise with Deep Learning within commercial environments? You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets. What's in it for you Up to £150k + bonus Private Medical Insurance Life Assurance Training and career development opportunities Employee Assistance Programme Company retreats such as Winter skiing trips and Summer weekends away Your role As a Senior Deep Learning Engineer you will design, develop and deploy advanced deep learning models to tackle some of the most complex problems in global energy markets, applying cutting edge neural network and deep learning techniques across diverse and challenging data sets. You'll combine deep technical expertise in neural networks and deep learning with practical experience delivering models end to end, from research to production, in a high performance environment. Your work will directly impact trading decisions, turning sophisticated models into actionable insights. Location You'll be working in a collegiate team environment based in North London with a small group of accomplished software / data engineers and finance entrepreneurs. About you As a Senior Deep Learning Engineer you will receive a competitive package: You have an excellent academic record of achievement; 2.1 or above in a quantitative discipline at BSc, from a Russel Group university You have strong hands on experience building and shipping deep learning models in production, including ownership of end to end pipelines You have strong Python skills You have experience with deep learning tools such as TensorFlow Lattice (TFL), OptNet, DeepXDE You have a strong understanding of statistics and Machine Learning fundamentals You have experience of working with large, messy datasets You're collaborative with great communication skills At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
07/06/2026
Full time
Senior Deep Learning Engineer - Quant Trading London, Greater London £120k - £150k per year Senior Deep Learning Engineer (Python TensorFlow Lattice) London to £150k+ Do you have expertise with Deep Learning within commercial environments? You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets. What's in it for you Up to £150k + bonus Private Medical Insurance Life Assurance Training and career development opportunities Employee Assistance Programme Company retreats such as Winter skiing trips and Summer weekends away Your role As a Senior Deep Learning Engineer you will design, develop and deploy advanced deep learning models to tackle some of the most complex problems in global energy markets, applying cutting edge neural network and deep learning techniques across diverse and challenging data sets. You'll combine deep technical expertise in neural networks and deep learning with practical experience delivering models end to end, from research to production, in a high performance environment. Your work will directly impact trading decisions, turning sophisticated models into actionable insights. Location You'll be working in a collegiate team environment based in North London with a small group of accomplished software / data engineers and finance entrepreneurs. About you As a Senior Deep Learning Engineer you will receive a competitive package: You have an excellent academic record of achievement; 2.1 or above in a quantitative discipline at BSc, from a Russel Group university You have strong hands on experience building and shipping deep learning models in production, including ownership of end to end pipelines You have strong Python skills You have experience with deep learning tools such as TensorFlow Lattice (TFL), OptNet, DeepXDE You have a strong understanding of statistics and Machine Learning fundamentals You have experience of working with large, messy datasets You're collaborative with great communication skills At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Assurance - Financial Services - Forensic Data Analyst - Senior - London Location: London Date: 6 May 2026 Requisition ID: About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as real time fraud detection / prevention, fraud investigations, financial crime, disputes, and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. Your key responsibilities: Workwith financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations Communicate with clients to scope projects and gather requirements Highlight and explain the outputs of our analytics to clients in the context of their business Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI. Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non compliance issues Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Ability to work independently, manage work products and mentor junior team members Strong critical thinking, problem solving skills, understanding of algorithms and appreciation of working with data Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you'll also have: Domain knowledge of Financial Crime, Market Abuse, Mis selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience Organisational ability, people skills and project management potential Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Big data technologies such as Spark, Elasticsearch, Hadoop; Machine learning and pattern recognition; What working at EY offers: We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you
07/06/2026
Full time
Assurance - Financial Services - Forensic Data Analyst - Senior - London Location: London Date: 6 May 2026 Requisition ID: About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as real time fraud detection / prevention, fraud investigations, financial crime, disputes, and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. Your key responsibilities: Workwith financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations Communicate with clients to scope projects and gather requirements Highlight and explain the outputs of our analytics to clients in the context of their business Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI. Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non compliance issues Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Ability to work independently, manage work products and mentor junior team members Strong critical thinking, problem solving skills, understanding of algorithms and appreciation of working with data Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you'll also have: Domain knowledge of Financial Crime, Market Abuse, Mis selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience Organisational ability, people skills and project management potential Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Big data technologies such as Spark, Elasticsearch, Hadoop; Machine learning and pattern recognition; What working at EY offers: We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you
Senior Data Engineer Department: Technology Employment Type: Permanent Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £60,000 - £75,000 / year Description Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines. Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let us know why.
07/06/2026
Full time
Senior Data Engineer Department: Technology Employment Type: Permanent Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £60,000 - £75,000 / year Description Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines. Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let us know why.
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
Senior Manager, AI & Data Solution Architect, TC UKI Location: Manchester Other locations: Primary Location Only Requisition ID: Job Specification Grade: Senior Manager About the Role We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value. Design and architect end-to-end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries Present complex technical concepts and solution roadmaps to both technical and non-technical audiences Lead architecture review boards and provide technical governance throughout project lifecycles Oversee the implementation of data lakes, data warehouses, and lakehouse architectures Ensure solutions are optimized for performance, cost-efficiency, and scalability Define integration patterns between cloud platforms, third-party applications, and legacy systems Actively contribute to practice development as a technical thought leader in AI and Data topics Understanding of building and integrating Agentic AI solutions into existing cloud platforms Mentor junior architects and technical teams on best practices and emerging technologies Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field One or more Advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP Proven track record of architecting enterprise-scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Able to lead design for end to end AI and data solutions across multiple cloud platforms Able to define governance frameworks, security protocols and compliance standards Operates as a trusted advisor to IT and senior stakeholders Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP Hands on experience with Microsoft Fabric, Snowflake and/or Databricks TOGAF experience Soft Skills Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies Exceptional communication and presentation skills with ability to influence senior stakeholders Strong analytical and problem-solving capabilities Ability to manage multiple client engagements simultaneously Collaborative mindset with experience working in cross-functional teams Coaching mindset to support the development of junior team members Preferred Criteria Understanding of AI Architecture front end, UI/UX, and how AI is consumed Experience preparing technical solutions and architectures as part of bid responses and proposals Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry Experience with domain-specific use cases such as commercial, supply chain, finance or operations
07/06/2026
Full time
Senior Manager, AI & Data Solution Architect, TC UKI Location: Manchester Other locations: Primary Location Only Requisition ID: Job Specification Grade: Senior Manager About the Role We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value. Design and architect end-to-end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries Present complex technical concepts and solution roadmaps to both technical and non-technical audiences Lead architecture review boards and provide technical governance throughout project lifecycles Oversee the implementation of data lakes, data warehouses, and lakehouse architectures Ensure solutions are optimized for performance, cost-efficiency, and scalability Define integration patterns between cloud platforms, third-party applications, and legacy systems Actively contribute to practice development as a technical thought leader in AI and Data topics Understanding of building and integrating Agentic AI solutions into existing cloud platforms Mentor junior architects and technical teams on best practices and emerging technologies Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field One or more Advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP Proven track record of architecting enterprise-scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Able to lead design for end to end AI and data solutions across multiple cloud platforms Able to define governance frameworks, security protocols and compliance standards Operates as a trusted advisor to IT and senior stakeholders Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP Hands on experience with Microsoft Fabric, Snowflake and/or Databricks TOGAF experience Soft Skills Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies Exceptional communication and presentation skills with ability to influence senior stakeholders Strong analytical and problem-solving capabilities Ability to manage multiple client engagements simultaneously Collaborative mindset with experience working in cross-functional teams Coaching mindset to support the development of junior team members Preferred Criteria Understanding of AI Architecture front end, UI/UX, and how AI is consumed Experience preparing technical solutions and architectures as part of bid responses and proposals Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry Experience with domain-specific use cases such as commercial, supply chain, finance or operations
As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high quality data services. Responsibilities and Qualifications Design, build and manage realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities. Implement and manage automated frameworks for integrating data from various security sources into the security data lake, and for moving data between raw, trusted and curated data layers. Produce high quality code, conduct thorough peer reviews and provide constructive feedback. Implement automations and DevOps practices to streamline deployment, configuration and management of data platform components. Effectively communicate technical concepts and solutions to individuals with varying technical expertise across departments. Solid experience with Python and proficiency in SQL. Experience building data platforms on cloud services such as Databricks on Azure or GCP BigQuery, and big data technologies like Spark or Flink. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools such as Airflow and dbt. Ability to provide clear input, guide and empower junior team members to achieve desired outcomes. Familiarity with machine learning and AI tools is desirable. Knowledge of cybersecurity principles and practices. Equal Opportunity We're proud to be an accredited Disability Confident Leader, where everyone's welcome. We commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.
07/06/2026
Full time
As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high quality data services. Responsibilities and Qualifications Design, build and manage realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities. Implement and manage automated frameworks for integrating data from various security sources into the security data lake, and for moving data between raw, trusted and curated data layers. Produce high quality code, conduct thorough peer reviews and provide constructive feedback. Implement automations and DevOps practices to streamline deployment, configuration and management of data platform components. Effectively communicate technical concepts and solutions to individuals with varying technical expertise across departments. Solid experience with Python and proficiency in SQL. Experience building data platforms on cloud services such as Databricks on Azure or GCP BigQuery, and big data technologies like Spark or Flink. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools such as Airflow and dbt. Ability to provide clear input, guide and empower junior team members to achieve desired outcomes. Familiarity with machine learning and AI tools is desirable. Knowledge of cybersecurity principles and practices. Equal Opportunity We're proud to be an accredited Disability Confident Leader, where everyone's welcome. We commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.
At Citadel, our engineers work in small teams to turn the best ideas into high-performing and resilient technology. With short development cycles, work rapidly goes into production. As an engineer, you'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to challenge the impossible in technology through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship. Your Objectives: Create technological tools that bring trading strategies to life Develop high-performance, large data research platforms Work in small teams to build the future of finance Your Skills & Talents: Degree in Computer Science, Computer Engineering or related fields (Bachelor's, Master's, PhD) Exceptional programming and design skills Strong analytical skills and familiarity with probability and statistics Ability to communicate effectively in a collaborative, complex and highly technical team environment Intellectual curiosity and passion for solving challenging problems using technology Opportunities available in London.
07/06/2026
Full time
At Citadel, our engineers work in small teams to turn the best ideas into high-performing and resilient technology. With short development cycles, work rapidly goes into production. As an engineer, you'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to challenge the impossible in technology through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship. Your Objectives: Create technological tools that bring trading strategies to life Develop high-performance, large data research platforms Work in small teams to build the future of finance Your Skills & Talents: Degree in Computer Science, Computer Engineering or related fields (Bachelor's, Master's, PhD) Exceptional programming and design skills Strong analytical skills and familiarity with probability and statistics Ability to communicate effectively in a collaborative, complex and highly technical team environment Intellectual curiosity and passion for solving challenging problems using technology Opportunities available in London.
About us At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you. About the role We are hiring an AI Engineer to join our growing AI Engineering team. You'll design and build production AI systems - combining machine learning, large language models, and strong engineering - to solve real problems across documents, email, and financial data. We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level - focusing on system design, product thinking, and solving complex problems. What you'll be doing AI Systems & Agents: design and build production AI systems - including agent based workflows, tool use, and multi step reasoning. Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine tuning and hybrid ML + LLM approaches. LLM Platform Work: work with hosted and self hosted models, contributing to decisions around model selection, performance, and cost. Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems. Evaluation & Iteration: design evals, measure performance rigorously, and improve systems using real world feedback. AI Assisted Development: use modern AI coding tools to move faster while maintaining high standards. Collaboration: work closely with product and engineering teams to deliver high impact features. What you'll bring Experience: 2-5 years building and shipping ML or AI powered systems into production. Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments. AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents). Systems Thinking: ability to reason about trade offs (accuracy, latency, cost, reliability) and design accordingly. Data Skills: SQL, pandas, and experience working with messy real world data. AI Native Workflow: comfortable using AI assisted coding tools effectively. Curiosity & Ownership: proactive in exploring new approaches and improving existing systems. Collaboration: strong cross functional working style. What we offer in return Competitive salary of £65,000 to £75,000 depending on experience ️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days Hybrid working with two days a week from our dog friendly Hoxton office On site gym and cycle to work scheme ️ Employee discount at over 100 retailers Comprehensive private medical & dental cover with Vitality Enhanced parental leave pay Learning & development culture - £1,000 personal annual budget We've carbon neutral and are working towards ambitious carbon reduction goals Lots of team socials & activities ️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process Introductory Call - A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview - A 30-45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation - A role relevant exercise to demonstrate your skills and approach. Final On site Interview - An in person meeting with our senior leadership team and co founders at our office. We strive to make the process clear, efficient, and respectful of your time.
07/06/2026
Full time
About us At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you. About the role We are hiring an AI Engineer to join our growing AI Engineering team. You'll design and build production AI systems - combining machine learning, large language models, and strong engineering - to solve real problems across documents, email, and financial data. We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level - focusing on system design, product thinking, and solving complex problems. What you'll be doing AI Systems & Agents: design and build production AI systems - including agent based workflows, tool use, and multi step reasoning. Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine tuning and hybrid ML + LLM approaches. LLM Platform Work: work with hosted and self hosted models, contributing to decisions around model selection, performance, and cost. Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems. Evaluation & Iteration: design evals, measure performance rigorously, and improve systems using real world feedback. AI Assisted Development: use modern AI coding tools to move faster while maintaining high standards. Collaboration: work closely with product and engineering teams to deliver high impact features. What you'll bring Experience: 2-5 years building and shipping ML or AI powered systems into production. Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments. AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents). Systems Thinking: ability to reason about trade offs (accuracy, latency, cost, reliability) and design accordingly. Data Skills: SQL, pandas, and experience working with messy real world data. AI Native Workflow: comfortable using AI assisted coding tools effectively. Curiosity & Ownership: proactive in exploring new approaches and improving existing systems. Collaboration: strong cross functional working style. What we offer in return Competitive salary of £65,000 to £75,000 depending on experience ️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days Hybrid working with two days a week from our dog friendly Hoxton office On site gym and cycle to work scheme ️ Employee discount at over 100 retailers Comprehensive private medical & dental cover with Vitality Enhanced parental leave pay Learning & development culture - £1,000 personal annual budget We've carbon neutral and are working towards ambitious carbon reduction goals Lots of team socials & activities ️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process Introductory Call - A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview - A 30-45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation - A role relevant exercise to demonstrate your skills and approach. Final On site Interview - An in person meeting with our senior leadership team and co founders at our office. We strive to make the process clear, efficient, and respectful of your time.
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that is transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We're looking for an IT Implementation Lead to take ownership of the technical programmes that keep our Enterprise Technology function moving - and to be the steady hand that turns complex, cross functional work into delivered outcomes. This is a delivery and stakeholder role, not a break fix one. You'll own major programmes end to end - coordinating the technical specialists, keeping leadership informed, and making sure compliance and audit readiness are built in from day one. You won't need to write the automation yourself, but you'll be technical enough to challenge it, translate it, and hold the detail in a room full of engineers. You'll partner closely with our IT Systems Engineer, who provides the hands on automation and integration depth behind the programmes you lead - you set the direction and own delivery; they build the solutions. You'll report directly to the Head of Enterprise Technology and work closely with Engineering, Security, Legal, Finance, and People teams. If you enjoy bringing order to ambiguity, moving programmes from idea to live, and being the person stakeholders trust to land things - this is the role for you. What You'll Do Drive our most critical technical programmes Lead complex, cross functional programmes from initiation through to delivery - a major identity platform consolidation, an endpoint security rollout, machine identity work, and the integration of a recent acquisition are all live or imminent Coordinate technical specialists, vendors, and implementation partners, holding everyone to scope, timeline, and quality Run multiple programmes simultaneously without dropping the detail - scoping, planning, RAID, and post implementation review Own compliance and certification Own our ISO 27001 and Cyber Essentials Plus workstreams - controls, evidence, and audit readiness maintained to a high standard year round, not just at audit time Build compliance into delivery from the start, so programmes ship secure and evidenced rather than retrofitted Work with Security and the wider business to keep our risk register and controls current Keep stakeholders aligned and the function visible Be the clear, reliable bridge between technical delivery and the business - translating complexity for Engineering, Legal, Finance, People, and leadership without losing the substance Own programme reporting and status communication, calibrated to the audience - from working level detail to executive one pagers Lead tooling strategy and rationalisation initiatives, working with department leads to reduce complexity and realise cost savings across the business Support the Head of Enterprise Technology in planning and prioritising the team's workload as the function scales What You'll Bring We value different perspectives and a variety of backgrounds. Delivery rigour matters, but we care just as much about your mindset - the way you bring order to complexity, the calm you hold under pressure, and your instinct for keeping people aligned. We'd love to hear from you if: You have a strong track record of delivering technical or IT programmes end to end in a scaling organisation - you've owned the plan, not just contributed to it You're an excellent communicator who can hold your own with senior stakeholders and translate technical complexity in either direction You understand IT security frameworks - particularly ISO 27001 - and have lived experience of owning controls, evidence, and audit readiness You're technically literate enough to be credible with engineers - you understand identity, endpoint, and SaaS tooling well enough to challenge and coordinate, even if you're not the one building it You're highly organised, write clear documentation, and hold yourself and others to a high standard without being prompted You're calm and decisive under ambiguity - you make the call, communicate it clearly, and follow through Bonus points (but not required) for: Experience integrating systems and teams through an M&A process A recognised project or programme qualification (Prince2, PMP, Agile / Scrum) A background in high growth tech or edtech environments Exposure to GDPR and data protection compliance in a technology context Familiarity with modern identity, MDM, and endpoint security platforms What We Offer A genuinely high impact role - you'll own programmes that touch the whole business, not just tickets in a queue A lean, collaborative team where your judgement is trusted and your work is visible The chance to shape how Enterprise Technology delivers and scales at a fast growing edtech company Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
07/06/2026
Full time
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that is transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We're looking for an IT Implementation Lead to take ownership of the technical programmes that keep our Enterprise Technology function moving - and to be the steady hand that turns complex, cross functional work into delivered outcomes. This is a delivery and stakeholder role, not a break fix one. You'll own major programmes end to end - coordinating the technical specialists, keeping leadership informed, and making sure compliance and audit readiness are built in from day one. You won't need to write the automation yourself, but you'll be technical enough to challenge it, translate it, and hold the detail in a room full of engineers. You'll partner closely with our IT Systems Engineer, who provides the hands on automation and integration depth behind the programmes you lead - you set the direction and own delivery; they build the solutions. You'll report directly to the Head of Enterprise Technology and work closely with Engineering, Security, Legal, Finance, and People teams. If you enjoy bringing order to ambiguity, moving programmes from idea to live, and being the person stakeholders trust to land things - this is the role for you. What You'll Do Drive our most critical technical programmes Lead complex, cross functional programmes from initiation through to delivery - a major identity platform consolidation, an endpoint security rollout, machine identity work, and the integration of a recent acquisition are all live or imminent Coordinate technical specialists, vendors, and implementation partners, holding everyone to scope, timeline, and quality Run multiple programmes simultaneously without dropping the detail - scoping, planning, RAID, and post implementation review Own compliance and certification Own our ISO 27001 and Cyber Essentials Plus workstreams - controls, evidence, and audit readiness maintained to a high standard year round, not just at audit time Build compliance into delivery from the start, so programmes ship secure and evidenced rather than retrofitted Work with Security and the wider business to keep our risk register and controls current Keep stakeholders aligned and the function visible Be the clear, reliable bridge between technical delivery and the business - translating complexity for Engineering, Legal, Finance, People, and leadership without losing the substance Own programme reporting and status communication, calibrated to the audience - from working level detail to executive one pagers Lead tooling strategy and rationalisation initiatives, working with department leads to reduce complexity and realise cost savings across the business Support the Head of Enterprise Technology in planning and prioritising the team's workload as the function scales What You'll Bring We value different perspectives and a variety of backgrounds. Delivery rigour matters, but we care just as much about your mindset - the way you bring order to complexity, the calm you hold under pressure, and your instinct for keeping people aligned. We'd love to hear from you if: You have a strong track record of delivering technical or IT programmes end to end in a scaling organisation - you've owned the plan, not just contributed to it You're an excellent communicator who can hold your own with senior stakeholders and translate technical complexity in either direction You understand IT security frameworks - particularly ISO 27001 - and have lived experience of owning controls, evidence, and audit readiness You're technically literate enough to be credible with engineers - you understand identity, endpoint, and SaaS tooling well enough to challenge and coordinate, even if you're not the one building it You're highly organised, write clear documentation, and hold yourself and others to a high standard without being prompted You're calm and decisive under ambiguity - you make the call, communicate it clearly, and follow through Bonus points (but not required) for: Experience integrating systems and teams through an M&A process A recognised project or programme qualification (Prince2, PMP, Agile / Scrum) A background in high growth tech or edtech environments Exposure to GDPR and data protection compliance in a technology context Familiarity with modern identity, MDM, and endpoint security platforms What We Offer A genuinely high impact role - you'll own programmes that touch the whole business, not just tickets in a queue A lean, collaborative team where your judgement is trusted and your work is visible The chance to shape how Enterprise Technology delivers and scales at a fast growing edtech company Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
About us We're Xelix, an AI-powered Control Centre for Accounts Payable teams. We work with some of the largest global companies to automate and enhance their financial control processes. At the heart of our product, we leverage machine learning techniques developed by our AI Engineering team to provide a more sophisticated offering than existing solutions. Things are going really well for us - we raised our Series A funding round from top investors, we've grown our team to almost 100, and we've won industry awards for our products. About the role We're looking for an experienced, hands on Senior Account Manager to join our fast growing scale up. This is a proactive, commercially minded role: you'll own the relationship and renewal, identify and create expansion opportunities, and ensure customers realise (and can clearly evidence) the value Xelix delivers. You'll partner closely with Sales, Product and Services to drive adoption, outcomes and long term account growth. What you'll be doing Own a portfolio of our highest tier customers, acting as a trusted advisor and commercial lead across renewal and growth. Build and execute Customer Success Plans (CSPs) with clear outcomes, milestones, stakeholders and value hypotheses. Quantify, track and communicate value realisation (ROI/business impact), preparing and presenting success metrics and commercial narratives to executive sponsors and C suite stakeholders. Develop a deep understanding of each customer's priorities, operating model, systems landscape, and roadmap-using this to shape account strategy and unlock expansion. Run proactive account governance (e.g., EBRs/QBRs), ensuring adoption, stakeholder engagement and action plans stay on track. Monitor customer health and engagement to identify risk early, lead retention plans, and mobilise internal teams to protect and grow revenue. Identify, qualify and progress upsell/cross sell opportunities, building business cases, aligning stakeholders, and partnering with AEs/founders where needed to close. Lead renewals end to end: timeline management, commercial negotiation support, stakeholder alignment, and forecasting accuracy. Triage technical and non technical issues with urgency and strong judgement, coordinating the right internal resources while keeping customers informed and confident. Be the voice of the customer internally: capture product feedback, influence prioritisation with evidence, and manage expectations on deliverables and timelines. Stay close to market trends and competitive landscape, contributing to strategic initiatives that improve our commercial approach and customer outcomes. What you'll bring At least 3 years experience in Account Management / Customer Success in B2B SaaS (or a consultative commercial role), owning senior stakeholder relationships and outcomes across a portfolio. You have ample experience in managing complex enterprise customers, involving six figure ACVs and engagement at senior levels. Demonstrable commercial track record: leading renewals, retaining revenue, and creating growth through upsell/cross sell (with clear examples of how you sourced, shaped and progressed opportunities). Strong value based selling and storytelling skills: you can quantify impact, build a business case, and present success metrics/ROI confidently to executive sponsors and C suite. Experience running structured account governance (e.g., CSPs, QBRs/EBRs, exec sponsor plans), translating customer goals into measurable plans and driving them to completion. Comfortable managing complex, multi stakeholder enterprise accounts-navigating economic buyers, decision makers, champions and influence networks to drive change. Proficient in MEDDPICC or similar sales methodology Evidence of proactively identifying risk and leading "save plans": diagnosing root causes, mobilising internal teams, and executing clear recovery plans with pace and accountability. Strong cross functional leadership: you're effective at coordinating Product, Delivery/Implementation, Support and Sales to unblock customers and deliver outcomes, without needing formal authority. Analytical and systems minded: you enjoy using data (usage, outcomes, financials) to spot patterns, forecast risk, and prioritise where to invest time for maximum impact. Technically curious and quick to learn: you can understand customer environments and product capabilities well enough to advise, educate and credibly challenge. Excellent prioritisation and execution in a fast paced environment; you can manage multiple workstreams, run a tight cadence, and keep stakeholders aligned. Clear, direct communicator with high ownership: you follow through, set expectations well, and bring energy and professionalism to customer interactions. What we offer in return Competitive salary of £55,000 - £70,000 depending on experience+ commission ️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days Hybrid working with two days a week from our dog friendly Hoxton office and on site gym Comprehensive private medical & dental cover with Vitality Enhanced parental leave pay Learning & development culture - £1,000 personal annual budget We're carbon neutral and are working towards ambitious carbon reduction goals Lots of team socials & activities ️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
07/06/2026
Full time
About us We're Xelix, an AI-powered Control Centre for Accounts Payable teams. We work with some of the largest global companies to automate and enhance their financial control processes. At the heart of our product, we leverage machine learning techniques developed by our AI Engineering team to provide a more sophisticated offering than existing solutions. Things are going really well for us - we raised our Series A funding round from top investors, we've grown our team to almost 100, and we've won industry awards for our products. About the role We're looking for an experienced, hands on Senior Account Manager to join our fast growing scale up. This is a proactive, commercially minded role: you'll own the relationship and renewal, identify and create expansion opportunities, and ensure customers realise (and can clearly evidence) the value Xelix delivers. You'll partner closely with Sales, Product and Services to drive adoption, outcomes and long term account growth. What you'll be doing Own a portfolio of our highest tier customers, acting as a trusted advisor and commercial lead across renewal and growth. Build and execute Customer Success Plans (CSPs) with clear outcomes, milestones, stakeholders and value hypotheses. Quantify, track and communicate value realisation (ROI/business impact), preparing and presenting success metrics and commercial narratives to executive sponsors and C suite stakeholders. Develop a deep understanding of each customer's priorities, operating model, systems landscape, and roadmap-using this to shape account strategy and unlock expansion. Run proactive account governance (e.g., EBRs/QBRs), ensuring adoption, stakeholder engagement and action plans stay on track. Monitor customer health and engagement to identify risk early, lead retention plans, and mobilise internal teams to protect and grow revenue. Identify, qualify and progress upsell/cross sell opportunities, building business cases, aligning stakeholders, and partnering with AEs/founders where needed to close. Lead renewals end to end: timeline management, commercial negotiation support, stakeholder alignment, and forecasting accuracy. Triage technical and non technical issues with urgency and strong judgement, coordinating the right internal resources while keeping customers informed and confident. Be the voice of the customer internally: capture product feedback, influence prioritisation with evidence, and manage expectations on deliverables and timelines. Stay close to market trends and competitive landscape, contributing to strategic initiatives that improve our commercial approach and customer outcomes. What you'll bring At least 3 years experience in Account Management / Customer Success in B2B SaaS (or a consultative commercial role), owning senior stakeholder relationships and outcomes across a portfolio. You have ample experience in managing complex enterprise customers, involving six figure ACVs and engagement at senior levels. Demonstrable commercial track record: leading renewals, retaining revenue, and creating growth through upsell/cross sell (with clear examples of how you sourced, shaped and progressed opportunities). Strong value based selling and storytelling skills: you can quantify impact, build a business case, and present success metrics/ROI confidently to executive sponsors and C suite. Experience running structured account governance (e.g., CSPs, QBRs/EBRs, exec sponsor plans), translating customer goals into measurable plans and driving them to completion. Comfortable managing complex, multi stakeholder enterprise accounts-navigating economic buyers, decision makers, champions and influence networks to drive change. Proficient in MEDDPICC or similar sales methodology Evidence of proactively identifying risk and leading "save plans": diagnosing root causes, mobilising internal teams, and executing clear recovery plans with pace and accountability. Strong cross functional leadership: you're effective at coordinating Product, Delivery/Implementation, Support and Sales to unblock customers and deliver outcomes, without needing formal authority. Analytical and systems minded: you enjoy using data (usage, outcomes, financials) to spot patterns, forecast risk, and prioritise where to invest time for maximum impact. Technically curious and quick to learn: you can understand customer environments and product capabilities well enough to advise, educate and credibly challenge. Excellent prioritisation and execution in a fast paced environment; you can manage multiple workstreams, run a tight cadence, and keep stakeholders aligned. Clear, direct communicator with high ownership: you follow through, set expectations well, and bring energy and professionalism to customer interactions. What we offer in return Competitive salary of £55,000 - £70,000 depending on experience+ commission ️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days Hybrid working with two days a week from our dog friendly Hoxton office and on site gym Comprehensive private medical & dental cover with Vitality Enhanced parental leave pay Learning & development culture - £1,000 personal annual budget We're carbon neutral and are working towards ambitious carbon reduction goals Lots of team socials & activities ️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Oritain is the global leader in product verification, with locations in Auckland, Dunedin, London, Singapore and Washington D.C. Our Mission: Science, Technology and Global Impact Our mission is to protect people and the planet by harnessing science, technology and services to build a community of origin verified suppliers and buyers. As a Senior Infrastructure Engineer, you will be the backbone of this mission, responsible for building, automating, and securing the Microsoft Azure cloud platform that hosts all of our mission critical software and services. We are looking for an experienced infrastructure leader to embed best practices, drive automation, and champion a true DevOps culture within our growing software engineering team. The Opportunity: Automation, Security, Scalability Working closely with the Head of Engineering and the development squads, you will own the delivery, operational health, and continuous improvement of our cloud platform. This role is a strategic blend of infrastructure architecture, security implementation, and developer enablement. Key Responsibilities Cloud Architecture and Infrastructure as Code (IaC) Azure Platform Ownership: Design, implement, and maintain the core architecture of our platform on Microsoft Azure, ensuring high availability, disaster recovery, and cost optimisation. Automation: Lead the development and maintenance of all infrastructure using Infrastructure as Code (IaC) tools, particularly Terraform or Azure Resource Manager (ARM) templates, to achieve immutable and repeatable environments. Security: Implement and enforce cloud security best practices, including network configuration (VNETs, Firewalls), identity management (Azure AD, RBAC), and platform governance. DevOps and CI/CD Pipeline Management Developer Enablement: Establish and maintain robust, self service tools and environments that allow software engineers to deploy, monitor, and debug their applications quickly and reliably. CI/CD Pipeline: Own and enhance the continuous integration and continuous deployment (CI/CD) pipelines, primarily using Azure DevOps, to automate code testing, security scanning, and seamless delivery to production. Operational Excellence: Implement comprehensive logging, monitoring, and alerting strategies (e.g., Azure Monitor, Application Insights) to ensure rapid detection and resolution of production issues. Collaboration and Mentorship Cross Functional Partnership: Collaborate with the Backend and Frontend Engineers to define service requirements, plan resource scaling, and troubleshoot complex production issues. Technical Guidance: Provide technical mentorship to the wider engineering team on cloud architecture, security principles, and robust operational practices. Documentation: Create and maintain clear, high quality documentation for infrastructure, deployment processes, and operational runbooks. The Engineering Environment Work Style: We operate a hybrid model, requiring a minimum of three days per week in our London office to maximise collaboration and platform insight. Technology: We are a Microsoft Azure cloud native organization. We rely on .NET for services and React/Angular for frontends, all deployed via automated pipelines. Team: You will be the senior voice for infrastructure and DevOps, embedded within a mission driven software engineering team. Skills & Experience Senior Cloud Expertise: Significant professional experience (typically 5+ years) focused on cloud infrastructure and operations. Azure Depth: Deep, hands on expertise with a wide range of Microsoft Azure services (e.g., App Service, Functions, Networking, Security Center). Automation Focus: Proven experience building and managing infrastructure using Infrastructure as Code (IaC) tools, with strong preference for Terraform. CI/CD Tools: Expert knowledge and experience administering and optimising CI/CD systems, preferably Azure DevOps Pipelines. Operating Systems & Networking: Strong understanding of Linux/Windows administration, IP networking fundamentals, and cloud native security concepts. Scripting: Proficiency in scripting languages (e.g., PowerShell, Bash, Python) for automation and operational tasks. Desirable Attributes Experience working with container technologies (Docker, Kubernetes). Familiarity with compliance standards or regulated environments. Experience in optimising database services (e.g., Azure SQL, Cosmos DB) for performance and cost. Company Benefits Paid Leave- 35 days (inclusive of public holidays) Birthday Off Volunteering Leave Allowance Enhanced Parental Leave Life Insurance Healthcare Cash Plan Employee Assistance Programme (EAP) Pension Monthly Wellbeing Allowance Breakfast, Snacks, Friday lunch & Barista Coffee Machine in the office Learning Portal with over 100,000 assets available to support professional development Hybrid working set up (Farringdon, London) Plenty of friendly 4 legged pets in the office!
07/06/2026
Full time
Oritain is the global leader in product verification, with locations in Auckland, Dunedin, London, Singapore and Washington D.C. Our Mission: Science, Technology and Global Impact Our mission is to protect people and the planet by harnessing science, technology and services to build a community of origin verified suppliers and buyers. As a Senior Infrastructure Engineer, you will be the backbone of this mission, responsible for building, automating, and securing the Microsoft Azure cloud platform that hosts all of our mission critical software and services. We are looking for an experienced infrastructure leader to embed best practices, drive automation, and champion a true DevOps culture within our growing software engineering team. The Opportunity: Automation, Security, Scalability Working closely with the Head of Engineering and the development squads, you will own the delivery, operational health, and continuous improvement of our cloud platform. This role is a strategic blend of infrastructure architecture, security implementation, and developer enablement. Key Responsibilities Cloud Architecture and Infrastructure as Code (IaC) Azure Platform Ownership: Design, implement, and maintain the core architecture of our platform on Microsoft Azure, ensuring high availability, disaster recovery, and cost optimisation. Automation: Lead the development and maintenance of all infrastructure using Infrastructure as Code (IaC) tools, particularly Terraform or Azure Resource Manager (ARM) templates, to achieve immutable and repeatable environments. Security: Implement and enforce cloud security best practices, including network configuration (VNETs, Firewalls), identity management (Azure AD, RBAC), and platform governance. DevOps and CI/CD Pipeline Management Developer Enablement: Establish and maintain robust, self service tools and environments that allow software engineers to deploy, monitor, and debug their applications quickly and reliably. CI/CD Pipeline: Own and enhance the continuous integration and continuous deployment (CI/CD) pipelines, primarily using Azure DevOps, to automate code testing, security scanning, and seamless delivery to production. Operational Excellence: Implement comprehensive logging, monitoring, and alerting strategies (e.g., Azure Monitor, Application Insights) to ensure rapid detection and resolution of production issues. Collaboration and Mentorship Cross Functional Partnership: Collaborate with the Backend and Frontend Engineers to define service requirements, plan resource scaling, and troubleshoot complex production issues. Technical Guidance: Provide technical mentorship to the wider engineering team on cloud architecture, security principles, and robust operational practices. Documentation: Create and maintain clear, high quality documentation for infrastructure, deployment processes, and operational runbooks. The Engineering Environment Work Style: We operate a hybrid model, requiring a minimum of three days per week in our London office to maximise collaboration and platform insight. Technology: We are a Microsoft Azure cloud native organization. We rely on .NET for services and React/Angular for frontends, all deployed via automated pipelines. Team: You will be the senior voice for infrastructure and DevOps, embedded within a mission driven software engineering team. Skills & Experience Senior Cloud Expertise: Significant professional experience (typically 5+ years) focused on cloud infrastructure and operations. Azure Depth: Deep, hands on expertise with a wide range of Microsoft Azure services (e.g., App Service, Functions, Networking, Security Center). Automation Focus: Proven experience building and managing infrastructure using Infrastructure as Code (IaC) tools, with strong preference for Terraform. CI/CD Tools: Expert knowledge and experience administering and optimising CI/CD systems, preferably Azure DevOps Pipelines. Operating Systems & Networking: Strong understanding of Linux/Windows administration, IP networking fundamentals, and cloud native security concepts. Scripting: Proficiency in scripting languages (e.g., PowerShell, Bash, Python) for automation and operational tasks. Desirable Attributes Experience working with container technologies (Docker, Kubernetes). Familiarity with compliance standards or regulated environments. Experience in optimising database services (e.g., Azure SQL, Cosmos DB) for performance and cost. Company Benefits Paid Leave- 35 days (inclusive of public holidays) Birthday Off Volunteering Leave Allowance Enhanced Parental Leave Life Insurance Healthcare Cash Plan Employee Assistance Programme (EAP) Pension Monthly Wellbeing Allowance Breakfast, Snacks, Friday lunch & Barista Coffee Machine in the office Learning Portal with over 100,000 assets available to support professional development Hybrid working set up (Farringdon, London) Plenty of friendly 4 legged pets in the office!
