UK Centre for Ecology and Hydrology
Wallingford, Oxfordshire
Overview Salary: £50,447 - £53,535 + excellent benefits Contract type: Permanent Hybrid working 50/50 Working pattern: Full-time (37 hrs per week) or part-time (0.8FTE, 4x days per week) Location: Wallingford, Lancaster, Bangor or Edinburgh Closing date: Sunday 2 August 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early. About UKCEH UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet. About This Role At UKCEH, trusted, high-quality data underpins both our environmental research and the way we operate as an organisation. As our project portfolio grows, so does the need for consistent, well-governed and accessible insight that supports confident, evidence-based decision-making. We are seeking an experienced and inquisitive Business Intelligence (BI) Manager to provide leadership and oversight of our organisational reporting, ensuring data can be transformed into trusted, decision-ready insights. This is a new and impactful role, focused on strengthening how we manage and use data beyond scientific systems, particularly across project and financial reporting. Within this role, you will have the autonomy to shape and evolve a more connected and reliable data environment, with the freedom to create, establish, maintain and continuously improve how organisational data is structured and used. You will lead the development of a centralised data environment, bringing together project, financial, people and other operational data into a single, trusted source, improving visibility of organisational performance and supporting more effective planning and decision-making. Working within an evolving Microsoft-based data ecosystem, you will reduce reliance on manual processes while bringing clarity and consistency to reporting. Your work will help colleagues plan effectively, manage risk and make informed decisions, while laying the foundations for future innovation, including automation and AI-enabled analytics, supporting outcomes that benefit both people and the planet. Responsibilities Leading and shaping UKCEH's business intelligence and reporting strategy, defining how data is governed, trusted and used Establishing authoritative data sources, shared definitions and key metrics to create a consistent organisational data foundation Overseeing the Power BI platform, ensuring high standards of data quality, security and appropriate access control Defining and maintaining the BI operating model, including standards, governance and best practice for reporting Designing and developing trusted datasets, semantic models and dashboards that support organisational decision-making Transforming reporting by reducing reliance on manual processes, duplicated spreadsheets and high-risk workarounds Partnering with senior stakeholders within Finance, People, Workplace, IT and system owners to prioritise reporting needs and deliver measurable business value Building organisational capability through training, guidance and best practice, while acting as a trusted advisor to senior stakeholders Reporting into the Business Systems Manager, you will partner with senior leaders and system/process owners to shape how data is understood and used across the organisation, translating complex information into clear, actionable insight You will work closely with colleagues across Finance, Project Accounting, People, IT and other Professional Services Teams, acting as UKCEH's specialist in business intelligence and reporting within a collaborative professional services environment In this role, you will drive the development of UKCEH's BI capability - designing data models, architecture and governance frameworks that bring together information from multiple systems into trusted reporting datasets Through tools such as Power BI, you will enable greater visibility of project performance, financial oversight and operational delivery, while building confidence and capability in data across teams Your work will play a key role in advancing UKCEH's data maturity, establishing scalable foundations that support continuous improvement and future innovation What we're looking for Significant experience in business intelligence, analytics or management information Strong understanding of data modelling, reporting best practice and dashboard design Experience establishing standards, governance and quality controls for data and reporting Experience designing or building data warehouses or data lakes Proficiency in data extraction, storage and maintenance and integrating data from multiple systems for reporting Excellent stakeholder management skills with the ability to influence senior leaders and Board members Ability to communicate complex data concepts clearly to non-technical audiences A proactive, analytical approach with excellent attention to detail Demonstrates initiative and creativity, generating innovative ideas to enhance reporting, performance management, data governance and operational efficiency What will help you stand out Experience with Power BI and Microsoft data platforms Experience working in a federated or matrix organisational environment, working closely with a variety of teams and datasets reporting teams Background in project-based or research-focused organisations Knowledge of Azure, Fabric or similar technologies Experience improving processes through automation Exposure to advanced analytics or AI-enabled tools Exposure to AI-enabled analytics, automation and advanced reporting tools (desirable) How to apply and what happens next If you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Questions: Q1. Tell us about a time you designed or implemented a data warehouse or reporting solution. What approach did you take and what was the outcome? Q2. How have you ensured data quality and governance in a previous role? Q3. What tools and techniques have you used to integrate data from multiple systems? Q4. If appointed, what would your priorities be during your first six months to create a trusted, organisation-wide BI function? Working at UKCEH You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment. What we offer At UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel. A note on sponsorship Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. Additional information Here you can explore the kind of roles we recruit for, search our latest vacancies . click apply for full job details
25/07/2026
Full time
Overview Salary: £50,447 - £53,535 + excellent benefits Contract type: Permanent Hybrid working 50/50 Working pattern: Full-time (37 hrs per week) or part-time (0.8FTE, 4x days per week) Location: Wallingford, Lancaster, Bangor or Edinburgh Closing date: Sunday 2 August 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early. About UKCEH UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet. About This Role At UKCEH, trusted, high-quality data underpins both our environmental research and the way we operate as an organisation. As our project portfolio grows, so does the need for consistent, well-governed and accessible insight that supports confident, evidence-based decision-making. We are seeking an experienced and inquisitive Business Intelligence (BI) Manager to provide leadership and oversight of our organisational reporting, ensuring data can be transformed into trusted, decision-ready insights. This is a new and impactful role, focused on strengthening how we manage and use data beyond scientific systems, particularly across project and financial reporting. Within this role, you will have the autonomy to shape and evolve a more connected and reliable data environment, with the freedom to create, establish, maintain and continuously improve how organisational data is structured and used. You will lead the development of a centralised data environment, bringing together project, financial, people and other operational data into a single, trusted source, improving visibility of organisational performance and supporting more effective planning and decision-making. Working within an evolving Microsoft-based data ecosystem, you will reduce reliance on manual processes while bringing clarity and consistency to reporting. Your work will help colleagues plan effectively, manage risk and make informed decisions, while laying the foundations for future innovation, including automation and AI-enabled analytics, supporting outcomes that benefit both people and the planet. Responsibilities Leading and shaping UKCEH's business intelligence and reporting strategy, defining how data is governed, trusted and used Establishing authoritative data sources, shared definitions and key metrics to create a consistent organisational data foundation Overseeing the Power BI platform, ensuring high standards of data quality, security and appropriate access control Defining and maintaining the BI operating model, including standards, governance and best practice for reporting Designing and developing trusted datasets, semantic models and dashboards that support organisational decision-making Transforming reporting by reducing reliance on manual processes, duplicated spreadsheets and high-risk workarounds Partnering with senior stakeholders within Finance, People, Workplace, IT and system owners to prioritise reporting needs and deliver measurable business value Building organisational capability through training, guidance and best practice, while acting as a trusted advisor to senior stakeholders Reporting into the Business Systems Manager, you will partner with senior leaders and system/process owners to shape how data is understood and used across the organisation, translating complex information into clear, actionable insight You will work closely with colleagues across Finance, Project Accounting, People, IT and other Professional Services Teams, acting as UKCEH's specialist in business intelligence and reporting within a collaborative professional services environment In this role, you will drive the development of UKCEH's BI capability - designing data models, architecture and governance frameworks that bring together information from multiple systems into trusted reporting datasets Through tools such as Power BI, you will enable greater visibility of project performance, financial oversight and operational delivery, while building confidence and capability in data across teams Your work will play a key role in advancing UKCEH's data maturity, establishing scalable foundations that support continuous improvement and future innovation What we're looking for Significant experience in business intelligence, analytics or management information Strong understanding of data modelling, reporting best practice and dashboard design Experience establishing standards, governance and quality controls for data and reporting Experience designing or building data warehouses or data lakes Proficiency in data extraction, storage and maintenance and integrating data from multiple systems for reporting Excellent stakeholder management skills with the ability to influence senior leaders and Board members Ability to communicate complex data concepts clearly to non-technical audiences A proactive, analytical approach with excellent attention to detail Demonstrates initiative and creativity, generating innovative ideas to enhance reporting, performance management, data governance and operational efficiency What will help you stand out Experience with Power BI and Microsoft data platforms Experience working in a federated or matrix organisational environment, working closely with a variety of teams and datasets reporting teams Background in project-based or research-focused organisations Knowledge of Azure, Fabric or similar technologies Experience improving processes through automation Exposure to advanced analytics or AI-enabled tools Exposure to AI-enabled analytics, automation and advanced reporting tools (desirable) How to apply and what happens next If you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Questions: Q1. Tell us about a time you designed or implemented a data warehouse or reporting solution. What approach did you take and what was the outcome? Q2. How have you ensured data quality and governance in a previous role? Q3. What tools and techniques have you used to integrate data from multiple systems? Q4. If appointed, what would your priorities be during your first six months to create a trusted, organisation-wide BI function? Working at UKCEH You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment. What we offer At UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel. A note on sponsorship Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. Additional information Here you can explore the kind of roles we recruit for, search our latest vacancies . click apply for full job details
Location: LCFC Training Ground, Seagrave Hours: Full Time Contract Type: Permanent Working from our world class training facility at LCFC Training Ground, Seagrave, you will join an elite performance environment dedicated to supporting excellence both on and off the pitch. Our state of the art training ground brings together leading coaches, analysts, sports scientists and performance specialists, creating a collaborative and innovative culture where your work can have a direct impact on First Team performance and success. Help Drive Performance Through Insight We are seeking a talented and motivated First Team Performance Analyst to join our Performance Analysis department. Reporting to the Lead Performance Analyst, you will play a vital role in delivering detailed performance analysis through the effective use of video, data and tactical insight. Working closely with First Team coaches, players and multidisciplinary support staff, you will provide the intelligence needed to enhance match preparation, inform tactical decision making and support continuous performance improvement. This is an exciting opportunity to work within a high performance football environment where analytical insight is central to achieving success at the highest level of the game. The Role As a First Team Performance Analyst, you will be responsible for producing and communicating high quality analytical insights that support coaching delivery, player development and team performance. You will combine video analysis, performance data and tactical expertise to deliver meaningful, actionable information across training sessions, matchdays, opposition analysis and performance reviews. The role will also involve supporting live analysis operations and contributing to the ongoing development of analytical systems, workflows and technologies across the First Team. Key Responsibilities Deliver detailed performance analysis to support First Team coaches and players, providing timely, accurate and actionable insights. Produce comprehensive opposition analysis, identifying tactical trends, strengths, weaknesses and key performance indicators through video and data analysis. Support First Team training sessions and matchdays through the operation of live touchline video systems and analysis workflows. Create high quality analytical resources including video presentations, reports, dashboards and visualisations to support match preparation, player development and performance review. Use specialist analysis software and telestration tools to communicate tactical concepts, coaching points and performance insights clearly and effectively. Collaborate closely with the Data & Insights department to integrate performance data within analytical workflows and enhance coaching practice and decision making. Support the development and continuous improvement of analysis systems, technologies and operational workflows. Maintain video, data and analytical resource libraries, ensuring all content is accurately organised, securely stored and readily accessible. Remain at the forefront of developments in football performance analysis, emerging technology and industry best practice, identifying opportunities to enhance analytical delivery. About You You will be a highly organised and proactive performance analyst with experience working within a professional football environment. You will possess strong technical and tactical knowledge, exceptional attention to detail and the ability to communicate complex information in a clear and impactful way. You will thrive in a fast paced environment and be passionate about using analysis to support decision making and improve performance. Experience working within a professional football performance analysis environment, preferably at First Team level. Proven experience using video capture, coding, editing, telestration and presentation software, including Hudl Sportscode, Hudl Studio and Keynote. CAA approved drone operator qualification, with experience safely capturing and producing high quality aerial footage within a sporting environment. Strong tactical understanding of football, with the ability to identify, interpret and communicate tactical and technical concepts, team principles and performance trends. Excellent organisational and time management skills, with the ability to manage multiple priorities and consistently deliver under pressure. Excellent interpersonal and communication skills, with the ability to build positive working relationships across multidisciplinary teams. Exceptional attention to detail and commitment to producing work of the highest standard. Bachelor's degree in Performance Analysis, Sport Science or a related discipline (or equivalent relevant experience). Experience providing live match analysis support and operating live video workflows in a stadium environment. Experience using performance data platforms and integrating video and data analysis to support coaching practice. Postgraduate qualification (e.g. MSc) in Performance Analysis, Sport Science or a related discipline. Full UK Driving Licence. Why Join Us? This is a fantastic opportunity to become part of an ambitious football club where performance analysis plays a key role in supporting success on the pitch. Based at the Club's cutting edge training ground in Seagrave, you will work alongside experienced coaches, analysts and performance practitioners in an environment that values innovation, collaboration and continuous development. Your work will directly contribute to enhancing player and team performance while supporting the delivery of elite level football operations. Safeguarding, Equality & Compliance The successful candidate will be expected to carry out all responsibilities in line with the Club's values, policies and procedures, particularly in relation to Safeguarding, Equality, Diversity & Inclusion, Health & Safety, Confidentiality and Data Protection. A sound understanding of governance, information security, cyber security and GDPR requirements is essential, alongside a commitment to undertaking all mandatory Club training. About The Club Leicester City Football Club has a rich and proud history - we're more than just a football club; we're a community. Formed in 1884, we've achieved incredible milestones, including becoming Premier League champions in 2016 and winning the FA Cup in 2021. Our commitment to the local community, fans, and world class experiences extends beyond the pitch. With the opening of our new state of the art training ground in 2021, we continue to invest in our growth and success. Our team at Leicester City is more than just colleagues - we invite you to join our Club and experience the exciting opportunities of a life in the football industry! Benefits Package Our people are the lifeblood of the Club, and we feel should be rewarded as such - we offer a competitive salary, pension scheme and life assurance for all permanent employees. You'll enjoy free onsite parking, access to our subsidised staff restaurants and up to 33 days of annual leave (including bank holidays) amongst a host of other great employee benefits! Leicester City Football Club believes that football is for all, and we are committed to Diversity and Inclusion, where valuing the individual is our highest priority. We are working to see equality across all areas of the Club and welcome applications from all areas of the community. If you have any requirements in regard to the recruitment process, please let us know; we are happy to support your needs. Next Steps We'll be reviewing applications as and when they are submitted and invite shortlisted candidates for interviews, so don't wait - if you think this role sounds like the right fit, apply today! We're excited to hear from you and can't wait to see how you'll help us reach new heights!
25/07/2026
Full time
Location: LCFC Training Ground, Seagrave Hours: Full Time Contract Type: Permanent Working from our world class training facility at LCFC Training Ground, Seagrave, you will join an elite performance environment dedicated to supporting excellence both on and off the pitch. Our state of the art training ground brings together leading coaches, analysts, sports scientists and performance specialists, creating a collaborative and innovative culture where your work can have a direct impact on First Team performance and success. Help Drive Performance Through Insight We are seeking a talented and motivated First Team Performance Analyst to join our Performance Analysis department. Reporting to the Lead Performance Analyst, you will play a vital role in delivering detailed performance analysis through the effective use of video, data and tactical insight. Working closely with First Team coaches, players and multidisciplinary support staff, you will provide the intelligence needed to enhance match preparation, inform tactical decision making and support continuous performance improvement. This is an exciting opportunity to work within a high performance football environment where analytical insight is central to achieving success at the highest level of the game. The Role As a First Team Performance Analyst, you will be responsible for producing and communicating high quality analytical insights that support coaching delivery, player development and team performance. You will combine video analysis, performance data and tactical expertise to deliver meaningful, actionable information across training sessions, matchdays, opposition analysis and performance reviews. The role will also involve supporting live analysis operations and contributing to the ongoing development of analytical systems, workflows and technologies across the First Team. Key Responsibilities Deliver detailed performance analysis to support First Team coaches and players, providing timely, accurate and actionable insights. Produce comprehensive opposition analysis, identifying tactical trends, strengths, weaknesses and key performance indicators through video and data analysis. Support First Team training sessions and matchdays through the operation of live touchline video systems and analysis workflows. Create high quality analytical resources including video presentations, reports, dashboards and visualisations to support match preparation, player development and performance review. Use specialist analysis software and telestration tools to communicate tactical concepts, coaching points and performance insights clearly and effectively. Collaborate closely with the Data & Insights department to integrate performance data within analytical workflows and enhance coaching practice and decision making. Support the development and continuous improvement of analysis systems, technologies and operational workflows. Maintain video, data and analytical resource libraries, ensuring all content is accurately organised, securely stored and readily accessible. Remain at the forefront of developments in football performance analysis, emerging technology and industry best practice, identifying opportunities to enhance analytical delivery. About You You will be a highly organised and proactive performance analyst with experience working within a professional football environment. You will possess strong technical and tactical knowledge, exceptional attention to detail and the ability to communicate complex information in a clear and impactful way. You will thrive in a fast paced environment and be passionate about using analysis to support decision making and improve performance. Experience working within a professional football performance analysis environment, preferably at First Team level. Proven experience using video capture, coding, editing, telestration and presentation software, including Hudl Sportscode, Hudl Studio and Keynote. CAA approved drone operator qualification, with experience safely capturing and producing high quality aerial footage within a sporting environment. Strong tactical understanding of football, with the ability to identify, interpret and communicate tactical and technical concepts, team principles and performance trends. Excellent organisational and time management skills, with the ability to manage multiple priorities and consistently deliver under pressure. Excellent interpersonal and communication skills, with the ability to build positive working relationships across multidisciplinary teams. Exceptional attention to detail and commitment to producing work of the highest standard. Bachelor's degree in Performance Analysis, Sport Science or a related discipline (or equivalent relevant experience). Experience providing live match analysis support and operating live video workflows in a stadium environment. Experience using performance data platforms and integrating video and data analysis to support coaching practice. Postgraduate qualification (e.g. MSc) in Performance Analysis, Sport Science or a related discipline. Full UK Driving Licence. Why Join Us? This is a fantastic opportunity to become part of an ambitious football club where performance analysis plays a key role in supporting success on the pitch. Based at the Club's cutting edge training ground in Seagrave, you will work alongside experienced coaches, analysts and performance practitioners in an environment that values innovation, collaboration and continuous development. Your work will directly contribute to enhancing player and team performance while supporting the delivery of elite level football operations. Safeguarding, Equality & Compliance The successful candidate will be expected to carry out all responsibilities in line with the Club's values, policies and procedures, particularly in relation to Safeguarding, Equality, Diversity & Inclusion, Health & Safety, Confidentiality and Data Protection. A sound understanding of governance, information security, cyber security and GDPR requirements is essential, alongside a commitment to undertaking all mandatory Club training. About The Club Leicester City Football Club has a rich and proud history - we're more than just a football club; we're a community. Formed in 1884, we've achieved incredible milestones, including becoming Premier League champions in 2016 and winning the FA Cup in 2021. Our commitment to the local community, fans, and world class experiences extends beyond the pitch. With the opening of our new state of the art training ground in 2021, we continue to invest in our growth and success. Our team at Leicester City is more than just colleagues - we invite you to join our Club and experience the exciting opportunities of a life in the football industry! Benefits Package Our people are the lifeblood of the Club, and we feel should be rewarded as such - we offer a competitive salary, pension scheme and life assurance for all permanent employees. You'll enjoy free onsite parking, access to our subsidised staff restaurants and up to 33 days of annual leave (including bank holidays) amongst a host of other great employee benefits! Leicester City Football Club believes that football is for all, and we are committed to Diversity and Inclusion, where valuing the individual is our highest priority. We are working to see equality across all areas of the Club and welcome applications from all areas of the community. If you have any requirements in regard to the recruitment process, please let us know; we are happy to support your needs. Next Steps We'll be reviewing applications as and when they are submitted and invite shortlisted candidates for interviews, so don't wait - if you think this role sounds like the right fit, apply today! We're excited to hear from you and can't wait to see how you'll help us reach new heights!
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. Purpose of the Role This is an opportunity to join our Software Engineering community as a Site Reliability Engineer (SRE) leading initiatives that create and improve the CI Platform as a Service (Paas) offering to the product delivery teams. Enabling product development teams to deliver software products on immutable infrastructure. Developing and facilitating production and development infrastructure and associated tooling. Integrating third party managed services used for delivery and development lifecycle. Lead on implementation of the CI cloud governance policy and be a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development needs. Be an open minded technologist who values a collaborative work environment and is willing to learn and explore as the fast paced industry evolves and changes. Key Responsibilities Key contributor to the Roadmap for the CI Platform. Development and maintenance of the CI Platform. Collaborate and consult with software engineers and data scientists to help design and implement robust and scalable software products. Knowledge sharing and education of team members to enable our DevOps culture. Proactively monitor costs and security posture of the CI Platform and products running on it. Define and implement tooling to continually improve our software development, release and maintenance processes. Develop product features with product delivery teams, building upon the CI Platform offering. Supporting our live systems, including identifying and implementing improvements to products, tools and processes to improve the on going reliability of our solutions. Design and implement infrastructure for multi region and multi tenant products and platform. Design and implement monitoring infrastructure for real time data streams. Design network and access to allow software engineers and data scientists to access services in AWS while keeping the services and data safe and secure. Enable and collaborate with teams to automate the entire delivery of a product. From a single web application to the configuration of a cloud account. Design and implement security and access management so that users and roles have access only to resources they need within the AWS account and attaching IoT devices. Identify root cause of live issues, to help both recover any immediate situation and design/implement improvements for future reliability. Experience We are Looking For Working with delivery teams deploying software on the cloud. Strategic technical leadership, in particular related to Site Reliability Engineering. Evidence of tailored and contextual communication in all directions to realise value as feedback and enquiry. Hands on experience in delivering production quality services. Experience in supporting live production systems. Required We are looking for an applicant who has: a Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience. 5 + years of hands on experience with large cloud providers such as AWS, Azure, GCP, or OCI. Leading technical initiatives including roadmap input, cross team collaboration and mentoring. Proficiency in Infrastructure as Code (IaC) tools such as Terraform. 3 + years of hands on experience with containerization and orchestration tools like Docker and Kubernetes. Experience working in and developing for a Linux environment. Excellent programming, debugging, and optimisation skills and at least one strong purpose programming language (Go or Python preferred). Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc. Experience in troubleshooting incidents and live environments. Ability to write and speak in English fluently. Desirable & Development Areas Familiarity with AWS Well Architected Framework. Designing, building and maintaining multi tenant and multi region cloud infrastructure. Exposure to configuration management tools like Ansible or SaltStack. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Cost optimisation experience at a platform or organisation level. Experience of IoT systems integration, protocols, and services, including gRPC and MQTT. Networking concepts and network performance modelling / optimisation. Experience with Hashicorp tools like Vault or Consul. AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co ordinated with other members of the Engineering team. What We Can Offer You Annual leave (25 days + bank holidays, pro rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary. Opportunity to join the Motion Applied Pension Plan. Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do. Motion Applied are also members of the UK Government Disability Confident Scheme.
25/07/2026
Full time
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. Purpose of the Role This is an opportunity to join our Software Engineering community as a Site Reliability Engineer (SRE) leading initiatives that create and improve the CI Platform as a Service (Paas) offering to the product delivery teams. Enabling product development teams to deliver software products on immutable infrastructure. Developing and facilitating production and development infrastructure and associated tooling. Integrating third party managed services used for delivery and development lifecycle. Lead on implementation of the CI cloud governance policy and be a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development needs. Be an open minded technologist who values a collaborative work environment and is willing to learn and explore as the fast paced industry evolves and changes. Key Responsibilities Key contributor to the Roadmap for the CI Platform. Development and maintenance of the CI Platform. Collaborate and consult with software engineers and data scientists to help design and implement robust and scalable software products. Knowledge sharing and education of team members to enable our DevOps culture. Proactively monitor costs and security posture of the CI Platform and products running on it. Define and implement tooling to continually improve our software development, release and maintenance processes. Develop product features with product delivery teams, building upon the CI Platform offering. Supporting our live systems, including identifying and implementing improvements to products, tools and processes to improve the on going reliability of our solutions. Design and implement infrastructure for multi region and multi tenant products and platform. Design and implement monitoring infrastructure for real time data streams. Design network and access to allow software engineers and data scientists to access services in AWS while keeping the services and data safe and secure. Enable and collaborate with teams to automate the entire delivery of a product. From a single web application to the configuration of a cloud account. Design and implement security and access management so that users and roles have access only to resources they need within the AWS account and attaching IoT devices. Identify root cause of live issues, to help both recover any immediate situation and design/implement improvements for future reliability. Experience We are Looking For Working with delivery teams deploying software on the cloud. Strategic technical leadership, in particular related to Site Reliability Engineering. Evidence of tailored and contextual communication in all directions to realise value as feedback and enquiry. Hands on experience in delivering production quality services. Experience in supporting live production systems. Required We are looking for an applicant who has: a Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience. 5 + years of hands on experience with large cloud providers such as AWS, Azure, GCP, or OCI. Leading technical initiatives including roadmap input, cross team collaboration and mentoring. Proficiency in Infrastructure as Code (IaC) tools such as Terraform. 3 + years of hands on experience with containerization and orchestration tools like Docker and Kubernetes. Experience working in and developing for a Linux environment. Excellent programming, debugging, and optimisation skills and at least one strong purpose programming language (Go or Python preferred). Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc. Experience in troubleshooting incidents and live environments. Ability to write and speak in English fluently. Desirable & Development Areas Familiarity with AWS Well Architected Framework. Designing, building and maintaining multi tenant and multi region cloud infrastructure. Exposure to configuration management tools like Ansible or SaltStack. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Cost optimisation experience at a platform or organisation level. Experience of IoT systems integration, protocols, and services, including gRPC and MQTT. Networking concepts and network performance modelling / optimisation. Experience with Hashicorp tools like Vault or Consul. AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co ordinated with other members of the Engineering team. What We Can Offer You Annual leave (25 days + bank holidays, pro rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary. Opportunity to join the Motion Applied Pension Plan. Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do. Motion Applied are also members of the UK Government Disability Confident Scheme.
National Energy System Operator Limited
Warwick, Warwickshire
About the Role As a Data Scientist on the Energy Insights & Analysis (EIA) team, you will be integral to managing data, maintaining and delivering models that support the UK's 2050 net zero emissions target. You will model the future energy mix, work closely with stakeholders and technology partners, and contribute to the continuous improvement of the EIA team. This role can be based in Wokingham, Warwick or Glasgow and offers hybrid working from office and home. Key Accountabilities Understand the needs of the business and develop solutions that support net zero targets. Engage with stakeholders at all levels to gather and understand requirements. Identify where existing models or processes need to adapt to reflect changing needs. Apply computer science, economics, statistics and data management skills to solve business problems. Collaborate with analysis teams and technology partners to deliver models, tools and process improvements. Mentor and guide others on model development and best practices (higher level). Drive coordinated change in modelling, quality assurance and technology deployment (higher level). Lead cross departmental projects, improving accuracy, transparency and turnaround time (higher level). About You Strong problem solving skills and ability to meet tight deadlines. Advanced programming skills in Python, Excel and SQL. Experience building and evaluating predictive models. Inquisitive mindset with ability to connect disparate pieces of information. Excellent interpersonal and communication skills. Experience influencing internal and external stakeholders at various levels. Team orientated, able to drive delivery with diverse groups. Project management and planning skills to meet activities, deliverables and deadlines. Experience with cloud platforms such as MS Azure or Palantir Foundry (desirable). Interest and background in energy decarbonisation (desirable). Right to Work Applicants must have the right to work in the UK by the start of employment. Visa sponsorship may not be available. What You'll Get Competitive salary of £61,000 - £72,000, depending on experience and capability. Performance based bonus. 26 days of annual leave. Contributory pension scheme with double company match up to 12% of your contribution. Annual enrollment to NESO Savings Plan with a 50% match on £20 £500 monthly contributions. Flexible benefits programme: bank holiday & holiday trading, extra birthday day off, cycletowork scheme, retail & gym discounts. Health and protection: private medical insurance, critical illness insurance, personal accident insurance. About NESO NESO operates the world's fastest decarbonising electricity system and works toward a carbon free supply for short periods within the year. Through independent, transparent decision making, NESO balances sustainability, affordability and security to secure Great Britain's energy future. Equal Opportunity NESO is an equal opportunity employer and welcomes applicants from all backgrounds. We are committed to building a diverse and inclusive workforce that reflects the communities we serve.
25/07/2026
Full time
About the Role As a Data Scientist on the Energy Insights & Analysis (EIA) team, you will be integral to managing data, maintaining and delivering models that support the UK's 2050 net zero emissions target. You will model the future energy mix, work closely with stakeholders and technology partners, and contribute to the continuous improvement of the EIA team. This role can be based in Wokingham, Warwick or Glasgow and offers hybrid working from office and home. Key Accountabilities Understand the needs of the business and develop solutions that support net zero targets. Engage with stakeholders at all levels to gather and understand requirements. Identify where existing models or processes need to adapt to reflect changing needs. Apply computer science, economics, statistics and data management skills to solve business problems. Collaborate with analysis teams and technology partners to deliver models, tools and process improvements. Mentor and guide others on model development and best practices (higher level). Drive coordinated change in modelling, quality assurance and technology deployment (higher level). Lead cross departmental projects, improving accuracy, transparency and turnaround time (higher level). About You Strong problem solving skills and ability to meet tight deadlines. Advanced programming skills in Python, Excel and SQL. Experience building and evaluating predictive models. Inquisitive mindset with ability to connect disparate pieces of information. Excellent interpersonal and communication skills. Experience influencing internal and external stakeholders at various levels. Team orientated, able to drive delivery with diverse groups. Project management and planning skills to meet activities, deliverables and deadlines. Experience with cloud platforms such as MS Azure or Palantir Foundry (desirable). Interest and background in energy decarbonisation (desirable). Right to Work Applicants must have the right to work in the UK by the start of employment. Visa sponsorship may not be available. What You'll Get Competitive salary of £61,000 - £72,000, depending on experience and capability. Performance based bonus. 26 days of annual leave. Contributory pension scheme with double company match up to 12% of your contribution. Annual enrollment to NESO Savings Plan with a 50% match on £20 £500 monthly contributions. Flexible benefits programme: bank holiday & holiday trading, extra birthday day off, cycletowork scheme, retail & gym discounts. Health and protection: private medical insurance, critical illness insurance, personal accident insurance. About NESO NESO operates the world's fastest decarbonising electricity system and works toward a carbon free supply for short periods within the year. Through independent, transparent decision making, NESO balances sustainability, affordability and security to secure Great Britain's energy future. Equal Opportunity NESO is an equal opportunity employer and welcomes applicants from all backgrounds. We are committed to building a diverse and inclusive workforce that reflects the communities we serve.
Data Scientist - Derby, United Kingdom Job Overview: We are seeking a Data Scientist to join a growing team delivering data driven solutions across a range of complex and innovative projects. Working alongside experienced data scientists, engineers, and business stakeholders, you will contribute to the development, deployment, and optimisation of machine learning models and analytical solutions. You will gain exposure across the full data science lifecycle, including data exploration, feature engineering, model development, validation, and deployment. This role is well suited to someone with a solid foundation in data science who is looking to further develop their technical expertise in a collaborative, fast paced environment. Key Responsibilities Support the development, testing, and deployment of machine learning models and analytical solutions. Clean, transform, and analyse structured and unstructured datasets from multiple sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and business insights. Collaborate with data scientists, engineers, and stakeholders to understand requirements and solve business challenges. Create clear documentation, reports, and visualisations for both technical and non technical audiences. Contribute to code reviews and continuous improvement of data science practices and workflows. Assist with model monitoring, validation, retraining, and performance optimisation activities. Support workshops, demonstrations, and stakeholder presentations where required. Required Skills & Experience 1 3 years of experience in a Data Scientist, Data Analyst, or related analytical role. Strong programming skills in Python and/or R. Experience using machine learning frameworks and libraries such as scikit learn, TensorFlow, or PyTorch. Good understanding of statistics, data preparation, feature engineering, and exploratory data analysis. Strong problem solving skills and the ability to communicate technical concepts effectively. Experience with data visualisation tools and libraries such as Matplotlib, Seaborn, Tableau, or Power BI. Ability to work effectively within a collaborative team environment. Desirable: Exposure to cloud platforms such as AWS, Azure, or GCP; experience writing SQL and working with relational databases; understanding of model deployment approaches and MLOps concepts; awareness of AI governance, ethics, bias mitigation, and data privacy principles. Degree qualification in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Start date: As soon as possible Location: Derby, 5 days per week onsite. Candidates must have the right to work in the United Kingdom. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Successful applicants will be required to be security cleared prior to appointment, which can take a minimum of 10 weeks. LA International is an award winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of security cleared talent to organisations that demand the very highest levels of security, compliance and assurance. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please note: if a high volume of applications is received, only candidates shortlisted will be contacted.
25/07/2026
Full time
Data Scientist - Derby, United Kingdom Job Overview: We are seeking a Data Scientist to join a growing team delivering data driven solutions across a range of complex and innovative projects. Working alongside experienced data scientists, engineers, and business stakeholders, you will contribute to the development, deployment, and optimisation of machine learning models and analytical solutions. You will gain exposure across the full data science lifecycle, including data exploration, feature engineering, model development, validation, and deployment. This role is well suited to someone with a solid foundation in data science who is looking to further develop their technical expertise in a collaborative, fast paced environment. Key Responsibilities Support the development, testing, and deployment of machine learning models and analytical solutions. Clean, transform, and analyse structured and unstructured datasets from multiple sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and business insights. Collaborate with data scientists, engineers, and stakeholders to understand requirements and solve business challenges. Create clear documentation, reports, and visualisations for both technical and non technical audiences. Contribute to code reviews and continuous improvement of data science practices and workflows. Assist with model monitoring, validation, retraining, and performance optimisation activities. Support workshops, demonstrations, and stakeholder presentations where required. Required Skills & Experience 1 3 years of experience in a Data Scientist, Data Analyst, or related analytical role. Strong programming skills in Python and/or R. Experience using machine learning frameworks and libraries such as scikit learn, TensorFlow, or PyTorch. Good understanding of statistics, data preparation, feature engineering, and exploratory data analysis. Strong problem solving skills and the ability to communicate technical concepts effectively. Experience with data visualisation tools and libraries such as Matplotlib, Seaborn, Tableau, or Power BI. Ability to work effectively within a collaborative team environment. Desirable: Exposure to cloud platforms such as AWS, Azure, or GCP; experience writing SQL and working with relational databases; understanding of model deployment approaches and MLOps concepts; awareness of AI governance, ethics, bias mitigation, and data privacy principles. Degree qualification in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Start date: As soon as possible Location: Derby, 5 days per week onsite. Candidates must have the right to work in the United Kingdom. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Successful applicants will be required to be security cleared prior to appointment, which can take a minimum of 10 weeks. LA International is an award winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of security cleared talent to organisations that demand the very highest levels of security, compliance and assurance. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please note: if a high volume of applications is received, only candidates shortlisted will be contacted.
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. 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, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.
25/07/2026
Full time
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. 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, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role This role spans the full early career range. We are hiring new graduates as well as engineers with up to five years of professional experience. If you are a few years in and looking for stronger mentorship, a more technically serious codebase, or a clearer growth path than your current role offers, this posting is for you. Your experience will be reflected in your level, scope, and compensation at offer. You join a delivery team and start writing production code immediately. You build software with your team that oil and gas operators use every day for real decisions. You debug issues in systems that connect to live data, write features that operators depend on, and learn how professional software teams ship quality code at scale. You receive regular guidance from experienced engineers and participate in code reviews from the start. Over time, you grow your technical skills and your understanding of the product domain, and you build the habits that make an engineer effective over the long term. We hire for potential and train for success. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoD What You Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large scale applications behave under real conditions. Write and maintain automated tests as part of the team's standard delivery workflow. Participate in code reviews: read your teammates' code, receive feedback on yours, and learn the codebase through both activities. Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications. Contribute to technical documentation for the systems and features you work on. Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers. Research and evaluate open source tools and libraries that can improve the systems you work on. Grow your understanding of the product domain through the work itself. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Minimum of 3 years of software development experience. Working knowledge of at least one modern programming language and standard development tooling (version control, build systems, testing frameworks). Preferred Experience contributing to a shared codebase with other engineers. Exposure to cloud platforms (Azure, AWS), web application development, or data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real time systems, large scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role is technically curious and takes their craft seriously. Whether you are writing your first production code or already have a few years behind you, you pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. You treat code reviews as a place to both learn and contribute, and you communicate clearly with teammates across time zones. Minimum Qualifications Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Software Engineer to Senior. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209983 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Additional Locations for this position Compensation Information Compensation is competitive and commensurate with experience.
25/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role This role spans the full early career range. We are hiring new graduates as well as engineers with up to five years of professional experience. If you are a few years in and looking for stronger mentorship, a more technically serious codebase, or a clearer growth path than your current role offers, this posting is for you. Your experience will be reflected in your level, scope, and compensation at offer. You join a delivery team and start writing production code immediately. You build software with your team that oil and gas operators use every day for real decisions. You debug issues in systems that connect to live data, write features that operators depend on, and learn how professional software teams ship quality code at scale. You receive regular guidance from experienced engineers and participate in code reviews from the start. Over time, you grow your technical skills and your understanding of the product domain, and you build the habits that make an engineer effective over the long term. We hire for potential and train for success. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoD What You Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large scale applications behave under real conditions. Write and maintain automated tests as part of the team's standard delivery workflow. Participate in code reviews: read your teammates' code, receive feedback on yours, and learn the codebase through both activities. Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications. Contribute to technical documentation for the systems and features you work on. Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers. Research and evaluate open source tools and libraries that can improve the systems you work on. Grow your understanding of the product domain through the work itself. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Minimum of 3 years of software development experience. Working knowledge of at least one modern programming language and standard development tooling (version control, build systems, testing frameworks). Preferred Experience contributing to a shared codebase with other engineers. Exposure to cloud platforms (Azure, AWS), web application development, or data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real time systems, large scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role is technically curious and takes their craft seriously. Whether you are writing your first production code or already have a few years behind you, you pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. You treat code reviews as a place to both learn and contribute, and you communicate clearly with teammates across time zones. Minimum Qualifications Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Software Engineer to Senior. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209983 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Additional Locations for this position Compensation Information Compensation is competitive and commensurate with experience.
Data ScientistApplylocations: GB - Edinburgh: GB - Southampton: GB - Basildon: GB - Newcastle: GB - Bristol - Coldharbour Lanetime type: Full timeposted on: Posted Todayjob requisition id: R Job Description: Salary Range: £53,000 - £65,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact Are you passionate about turning complex data into powerful business decisions? Join our team and help shape the future of data-driven decision-making by delivering advanced analytics, predictive modelling, and business intelligence solutions that influence strategic and operational outcomes across the organisation. This role offers the opportunity to work with diverse stakeholders, modern analytics technologies, and large-scale datasets to unlock valuable insights and drive measurable business impact. What you will do as a Data Scientist You will play a key role in transforming data into actionable intelligence, helping the business identify opportunities, mitigate risks, and make informed decisions.Key responsibilities include: Developing and implementing predictive models and machine learning algorithms to support strategic and operational decision-making. Analysing large volumes of structured and unstructured data to identify trends, risks, and opportunities. Validating, monitoring, and optimising analytical models to ensure accuracy, reliability, and business value. Collaborating with stakeholders across product, operations, technology, and business functions to shape and deliver data-driven solutions. Designing, building, and maintaining interactive dashboards and automated reporting solutions. Extracting, transforming, and integrating data from multiple sources while ensuring data quality and integrity. Translating business challenges into analytical approaches, selecting the appropriate methodologies, tools, and techniques. Delivering descriptive, diagnostic, and predictive analysis to support management and business decision-making. Applying data science and analytics best practices, including documentation, governance, and reproducibility. What you'll bring We're looking for a data professional with strong technical and analytical expertise who can transform complex datasets into meaningful business outcomes.Essential skills and experience: Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik. Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration, and data quality management. Experience working with large, complex structured and unstructured datasets. Knowledge of statistical analysis techniques and their application to real-world business problems. Understanding of data architecture principles and the processes required to support effective data delivery and reporting. Proven ability to translate business requirements into analytical solutions and actionable insights. Experience creating dashboards, self-service reporting, and visualisations that support decision-making.Desirable: Experience with data governance, model management, and analytics best practices. Professional certifications in data management, analytics, business intelligence, or related disciplines (e.g. DAMA International or equivalent).This is an excellent opportunity to use advanced analytics and data science techniques to influence business strategy, improve operational performance, and deliver meaningful outcomes across the organisation. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website.Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety.At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.Be part of something bigger - apply now! Primary Location: GB - Edinburgh Additional Locations: GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Luton - Cap. Green 300, GB - Newcastle, GB - Southampton Contract Type: Permanent Hybrid Working: Hybrid
25/07/2026
Full time
Data ScientistApplylocations: GB - Edinburgh: GB - Southampton: GB - Basildon: GB - Newcastle: GB - Bristol - Coldharbour Lanetime type: Full timeposted on: Posted Todayjob requisition id: R Job Description: Salary Range: £53,000 - £65,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact Are you passionate about turning complex data into powerful business decisions? Join our team and help shape the future of data-driven decision-making by delivering advanced analytics, predictive modelling, and business intelligence solutions that influence strategic and operational outcomes across the organisation. This role offers the opportunity to work with diverse stakeholders, modern analytics technologies, and large-scale datasets to unlock valuable insights and drive measurable business impact. What you will do as a Data Scientist You will play a key role in transforming data into actionable intelligence, helping the business identify opportunities, mitigate risks, and make informed decisions.Key responsibilities include: Developing and implementing predictive models and machine learning algorithms to support strategic and operational decision-making. Analysing large volumes of structured and unstructured data to identify trends, risks, and opportunities. Validating, monitoring, and optimising analytical models to ensure accuracy, reliability, and business value. Collaborating with stakeholders across product, operations, technology, and business functions to shape and deliver data-driven solutions. Designing, building, and maintaining interactive dashboards and automated reporting solutions. Extracting, transforming, and integrating data from multiple sources while ensuring data quality and integrity. Translating business challenges into analytical approaches, selecting the appropriate methodologies, tools, and techniques. Delivering descriptive, diagnostic, and predictive analysis to support management and business decision-making. Applying data science and analytics best practices, including documentation, governance, and reproducibility. What you'll bring We're looking for a data professional with strong technical and analytical expertise who can transform complex datasets into meaningful business outcomes.Essential skills and experience: Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik. Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration, and data quality management. Experience working with large, complex structured and unstructured datasets. Knowledge of statistical analysis techniques and their application to real-world business problems. Understanding of data architecture principles and the processes required to support effective data delivery and reporting. Proven ability to translate business requirements into analytical solutions and actionable insights. Experience creating dashboards, self-service reporting, and visualisations that support decision-making.Desirable: Experience with data governance, model management, and analytics best practices. Professional certifications in data management, analytics, business intelligence, or related disciplines (e.g. DAMA International or equivalent).This is an excellent opportunity to use advanced analytics and data science techniques to influence business strategy, improve operational performance, and deliver meaningful outcomes across the organisation. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website.Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety.At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.Be part of something bigger - apply now! Primary Location: GB - Edinburgh Additional Locations: GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Luton - Cap. Green 300, GB - Newcastle, GB - Southampton Contract Type: Permanent Hybrid Working: Hybrid
About Us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our corepurpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship withour customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for theplanet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure thatall colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed toproviding a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part time working patterns across our many business areas, which meansthat we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices willcontinue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco. About the role At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Ourwork extends across multiple areas including physical stores, online, finance, and supply chain. The Data Science team works across several domains and problem types: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team's expertise;knowledge sharing events are held regularly. Furthermore, we offer a great work life balance, regular team days and a relaxed yet engaging culture. You will be responsible for This is a hands on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Senior Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. A core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network based forecasting, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non experts. Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Data Senior Data Scientist, you will be expected to drive innovation and take ownership of aspects of the project development, support the Lead Data Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will: Design and improve deep learning and related machine learning forecasting models for large scale retailtime series. Build robust training and backtesting pipelines (time aware CV, leakage controls, stability checks). Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations). Collaborate closely with engineering, product, and business partners to ensure models are reliable, scalable, and deliver measurable business value. You will need We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project and stakeholder management experience is preferred. An ideal candidate will have a scientific mindset with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematicsand statistical principles. Meaningful academic or industrial work involving deep learning or related machine learning techniques for time series forecasting is required. This includes experience with neural network architectures for forecasting (for example sequence models, temporal convolutional approaches, transformer style models, or related methods). Experience with probabilistic forecasting, hierarchical forecasting, or representation learning fortime series is a plus. Finally, strong programming skills are essential (Python is preferred) as well as familiarity with software engineering best practices (such as version control, unit testing, CI/CD) and big data and cloud technologies (PySpark preferred). Experience training and deploying deep learning models in cloud environments (including GPU enabled workflows) is a strong advantage. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both inand out of work. Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. This information is a shortened summary, refer to our policies for full details.
25/07/2026
Full time
About Us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our corepurpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship withour customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for theplanet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure thatall colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed toproviding a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part time working patterns across our many business areas, which meansthat we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices willcontinue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco. About the role At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Ourwork extends across multiple areas including physical stores, online, finance, and supply chain. The Data Science team works across several domains and problem types: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team's expertise;knowledge sharing events are held regularly. Furthermore, we offer a great work life balance, regular team days and a relaxed yet engaging culture. You will be responsible for This is a hands on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Senior Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. A core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network based forecasting, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non experts. Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Data Senior Data Scientist, you will be expected to drive innovation and take ownership of aspects of the project development, support the Lead Data Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will: Design and improve deep learning and related machine learning forecasting models for large scale retailtime series. Build robust training and backtesting pipelines (time aware CV, leakage controls, stability checks). Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations). Collaborate closely with engineering, product, and business partners to ensure models are reliable, scalable, and deliver measurable business value. You will need We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project and stakeholder management experience is preferred. An ideal candidate will have a scientific mindset with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematicsand statistical principles. Meaningful academic or industrial work involving deep learning or related machine learning techniques for time series forecasting is required. This includes experience with neural network architectures for forecasting (for example sequence models, temporal convolutional approaches, transformer style models, or related methods). Experience with probabilistic forecasting, hierarchical forecasting, or representation learning fortime series is a plus. Finally, strong programming skills are essential (Python is preferred) as well as familiarity with software engineering best practices (such as version control, unit testing, CI/CD) and big data and cloud technologies (PySpark preferred). Experience training and deploying deep learning models in cloud environments (including GPU enabled workflows) is a strong advantage. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both inand out of work. Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. This information is a shortened summary, refer to our policies for full details.
Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Job DetailsViridien is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both Viridien and client environments.This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements.About The TeamYou will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement.Key ResponsibilitiesCloud Platform EngineeringImplement cloud architectures within Viridien and client environments.Build and automate cloud foundations including networking, identity, governance, and security controls.Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS).Infrastructure Automation & DeploymentDevelop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools.Build and manage CI/CD pipelines, deployment processes, and release controls.Create reusable cloud modules and deployment patterns to improve consistency and scalability.Security & GovernanceImplement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement.Ensure cloud platforms meet security, compliance, and governance requirements.Support vulnerability management and security monitoring practices.Operations & ReliabilityImplement monitoring, alerting, backup, and disaster recovery solutions.Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms.Develop operational documentation, runbooks, and knowledge transfer materials.Stakeholder CollaborationWork closely with software teams, client stakeholders, and operations teams to deliver cloud solutions.Support technical planning, risk management, and deployment activities.Contribute to engineering standards, best practices, and continuous improvement initiatives.QualificationsRequiredProven experience delivering production cloud environments, particularly within Microsoft Azure.Strong experience implementing and operating Kubernetes platforms.Experience deploying and supporting database platforms using both PaaS and VM-based solutions.Strong experience with Infrastructure as Code tools such as Terraform or Bicep.Experience building and maintaining CI/CD pipelines.Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management.Experience troubleshooting networking, distributed systems, and cloud platform issues.Ability to work independently and take ownership of technical delivery.PreferredExperience with AWS and/or OpenStack environments.Experience implementing landing zones and cloud governance frameworks.Scripting and automation experience using PowerShell, Python, or Bash.Experience with policy-as-code and cloud security tooling.Experience supporting hybrid or private cloud environments.Experience working within highly regulated or security-sensitive environments.Additional InformationHybrid working available from North Wales or Crawley.Opportunity to work across both Viridien and client cloud environments.Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms.Why work with us?Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model and flexible working with up to 2 days at homeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programCompany pension with generous employer contributionWellbeing Unmind app - puts you in control of your mental healthA flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!Regular social club events, spontaneous reward events throughout the yearCycle purchase schemeFlexible Private Medical & Dental care programmesSponsorship of visas/comprehensive relocation packagesBank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!Relaxed dress code policyL earning and DevelopmentAt Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.We Care About The EnvironmentWe encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
25/07/2026
Full time
Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Job DetailsViridien is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both Viridien and client environments.This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements.About The TeamYou will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement.Key ResponsibilitiesCloud Platform EngineeringImplement cloud architectures within Viridien and client environments.Build and automate cloud foundations including networking, identity, governance, and security controls.Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS).Infrastructure Automation & DeploymentDevelop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools.Build and manage CI/CD pipelines, deployment processes, and release controls.Create reusable cloud modules and deployment patterns to improve consistency and scalability.Security & GovernanceImplement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement.Ensure cloud platforms meet security, compliance, and governance requirements.Support vulnerability management and security monitoring practices.Operations & ReliabilityImplement monitoring, alerting, backup, and disaster recovery solutions.Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms.Develop operational documentation, runbooks, and knowledge transfer materials.Stakeholder CollaborationWork closely with software teams, client stakeholders, and operations teams to deliver cloud solutions.Support technical planning, risk management, and deployment activities.Contribute to engineering standards, best practices, and continuous improvement initiatives.QualificationsRequiredProven experience delivering production cloud environments, particularly within Microsoft Azure.Strong experience implementing and operating Kubernetes platforms.Experience deploying and supporting database platforms using both PaaS and VM-based solutions.Strong experience with Infrastructure as Code tools such as Terraform or Bicep.Experience building and maintaining CI/CD pipelines.Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management.Experience troubleshooting networking, distributed systems, and cloud platform issues.Ability to work independently and take ownership of technical delivery.PreferredExperience with AWS and/or OpenStack environments.Experience implementing landing zones and cloud governance frameworks.Scripting and automation experience using PowerShell, Python, or Bash.Experience with policy-as-code and cloud security tooling.Experience supporting hybrid or private cloud environments.Experience working within highly regulated or security-sensitive environments.Additional InformationHybrid working available from North Wales or Crawley.Opportunity to work across both Viridien and client cloud environments.Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms.Why work with us?Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model and flexible working with up to 2 days at homeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programCompany pension with generous employer contributionWellbeing Unmind app - puts you in control of your mental healthA flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!Regular social club events, spontaneous reward events throughout the yearCycle purchase schemeFlexible Private Medical & Dental care programmesSponsorship of visas/comprehensive relocation packagesBank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!Relaxed dress code policyL earning and DevelopmentAt Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.We Care About The EnvironmentWe encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
Closing Date: 05/08/2026 Group: Online Safety Group Management Level: Senior Associate Job Type: Permanent Please note that this role will close at 00:01 on Wednesday 5 August, and therefore we advise getting your application in by no later than midnight on Tuesday 4 August. About Ofcom As the UK's communications regulator, we're delivering vital work that helps keep the UK connected and shapes the future of how we'll stay connected with each other. Our work covers everything from phones and broadband, through to TV, radio, the postal service, and wireless devices. We're also taking on the challenge of making the online world a safer place. And we need people of all backgrounds, skill sets, and experiences to help us achieve our goal of making communications work for everyone. About the Team Almost every part of our lives is now online: we use online spaces to learn, play, make connections, do business and keep in touch. Alongside the many benefits, users face real risks from harmful or illegal content - from fraud, hate speech, bullying and harassment, child sexual exploitation, and more. Ofcom is the new regulator for online safety in the UK and there has never been a better time to join us on our mission to create a safer life online. Ofcom's role will be to hold online services to account for the steps they take to protect their users from harmful content, in order to ensure a safer life online for UK internet users. These roles provide an opportunity to help create a safer online environment and leave a lasting legacy for future generations. This role will be part of Ofcom's Online Safety Group, whose broader purpose is to lead our work in ensuring UK citizens have a safer life online. The Group consists of five teams - Policy Development, Supervision, Strategy Delivery, Tech Policy, and Online Safety Tech. This role sits within the Online Safety Tech team. About the Online Safety Technology Team The Online Safety Technology team conducts research to build knowledge and understanding in subject areas fundamental to online safety. This includes, for example, AI and machine learning, digital identity, privacy enhancing technologies, decentralisation, user experience, gaming, network infrastructure, and digital forensics. The team provides technical expertise to policy, supervision and enforcement colleagues in the wider Online Safety Group, and others in Ofcom, during policy development processes and industry engagement activities. Role Purpose and Scope The successful candidate will play a leading role within the Online Safety Technology team to help deliver a programme of work that will develop and share fundamental understanding of the technologies that underpin online services to help meet Ofcom's Online Safety objectives. We are looking for somebody who will act as a "go to" subject matter expert on relevant existing and emerging technologies, synthesising insights from analysis, research and experimentation to provide technical advice and inform stakeholder understanding of the implications of technological developments for online trust and safety. Key Responsibilities Provide expert guidance to policy, supervision and enforcement colleagues in the wider Online Safety Group and across Ofcom during policy development processes and industry engagement activities, on the technical aspects of online safety. Analyse the technical feasibility of regulatory proposals and assess their potential impact on online platforms, users and other stakeholders. Provide technical input to support assessments of platform systems and processes against regulatory requirements. Lead the design and delivery of complex research projects, often in partnership with specialist third parties and other policy/functional specialists (e.g. strategists, economists, lawyers, data scientists etc.), ranging from desk based reviews to the delivery of practical experimental and technical demonstration projects. Manage and support projects focussed on: examining in detail aspects of the systems, platforms and standards which are of concern to Ofcom; creating an evidence base for the application of a technology or combination of initiatives to tackle particular challenges relating to online safety, including informing assessments against regulatory expectations; identifying and analysing new technologies that present significant opportunities in areas where existing regulation may be incomplete; supporting the development of new regulatory mechanisms. Produce analytical outputs to support senior management decision making and internal technical capability building across the Online Safety Technology team and the wider Online Safety Group. Monitor developments in the tech industry, including innovations in AI, machine learning, encryption, and data management, to anticipate and advise on future regulatory challenges. Proactively manage internal relationships to help define business relevant research programmes and maximise the application of findings, including by effectively communicating with non technical audiences. Strengthen external relationships with industry, academia, and public bodies to jointly define and deliver research programmes successfully. Represent Ofcom and advocate for the role of technology across a range of external industry and policy working groups, in order to shape the technology debate, the regulatory landscape and inform national policy. Skills, Knowledge and Experience Practical and theoretical expertise in the architectures, integration strategies, deployment models and operation of online networks and systems. Understanding of key concepts in Safety by Design, cybersecurity, encryption standards and data privacy practices with practical knowledge of how these areas affect online safety. Practical knowledge of the operation of technical tools and techniques used in online content moderation, including AI/ML driven systems for text, image and video analysis, hash matching, keyword detection, rule based filters and user access control. Knowledge of assessment techniques to evaluate the performance and scalability of technology systems related to content moderation and user safety. Experience of working in a technical advisory role, with a focus on online safety, digital security, or internet governance is desirable. Articulating Ideas: the ability to translate complex technical concepts into clear, actionable insights for non technical audiences, including internal and external stakeholders, consumers and policy areas. Harmonising work: the ability to work across organisational boundaries in multi disciplinary project teams of policy professionals, technologists, data specialists and lawyers to understand requirements and their mapping to technical specifications and deliver business outcomes. Forming Relationships: strong interpersonal skills and evidence of an ability to interact effectively with, and influence, a range of internal and external stakeholders. Scanning Horizons: the ability to take a strategic view by identifying emerging trends, risks and opportunities and aligning decisions and actions with long term goals to inform effective policy and delivery outcomes. Qualifications Educated to at least degree level (or equivalent) in a relevant engineering or science subject but candidates with evidence of equivalent demonstrable skills and experience in required specialist knowledge areas will also be considered. Inclusive Hiring At Ofcom, our mission is clear: to make communications work for everyone. To achieve that, our people must reflect the diversity of the UK, in background, identity and experience. We believe innovation thrives when difference is valued and everyone feels empowered to contribute their ideas and perspectives. That's why we welcome colleagues of all ethnicities and races, sexes, genders and gender identities, sexual orientations, ages, faiths and beliefs, and those with apparent and non apparent disabilities. We value socio economic diversity, life experience and neurodiversity too. Whether you're a carer, a parent, a veteran, or re entering work after time away, your voice and perspective matter here. We guarantee interviews for disabled applicants who meet the essential criteria for a role. Our recruitment process is intentionally designed to be open and accessible. If you need adjustments, information in a different format or an alternative way to apply, contact us at or . Flexible Working Flexibility is at the heart of how we work because we want you to thrive in a way that suits you best. Most roles can therefore be adapted for part time hours, job shares, or other flexible arrangements. Learn more about our Rewards, Benefits and Wellbeing on our careers page.
25/07/2026
Full time
Closing Date: 05/08/2026 Group: Online Safety Group Management Level: Senior Associate Job Type: Permanent Please note that this role will close at 00:01 on Wednesday 5 August, and therefore we advise getting your application in by no later than midnight on Tuesday 4 August. About Ofcom As the UK's communications regulator, we're delivering vital work that helps keep the UK connected and shapes the future of how we'll stay connected with each other. Our work covers everything from phones and broadband, through to TV, radio, the postal service, and wireless devices. We're also taking on the challenge of making the online world a safer place. And we need people of all backgrounds, skill sets, and experiences to help us achieve our goal of making communications work for everyone. About the Team Almost every part of our lives is now online: we use online spaces to learn, play, make connections, do business and keep in touch. Alongside the many benefits, users face real risks from harmful or illegal content - from fraud, hate speech, bullying and harassment, child sexual exploitation, and more. Ofcom is the new regulator for online safety in the UK and there has never been a better time to join us on our mission to create a safer life online. Ofcom's role will be to hold online services to account for the steps they take to protect their users from harmful content, in order to ensure a safer life online for UK internet users. These roles provide an opportunity to help create a safer online environment and leave a lasting legacy for future generations. This role will be part of Ofcom's Online Safety Group, whose broader purpose is to lead our work in ensuring UK citizens have a safer life online. The Group consists of five teams - Policy Development, Supervision, Strategy Delivery, Tech Policy, and Online Safety Tech. This role sits within the Online Safety Tech team. About the Online Safety Technology Team The Online Safety Technology team conducts research to build knowledge and understanding in subject areas fundamental to online safety. This includes, for example, AI and machine learning, digital identity, privacy enhancing technologies, decentralisation, user experience, gaming, network infrastructure, and digital forensics. The team provides technical expertise to policy, supervision and enforcement colleagues in the wider Online Safety Group, and others in Ofcom, during policy development processes and industry engagement activities. Role Purpose and Scope The successful candidate will play a leading role within the Online Safety Technology team to help deliver a programme of work that will develop and share fundamental understanding of the technologies that underpin online services to help meet Ofcom's Online Safety objectives. We are looking for somebody who will act as a "go to" subject matter expert on relevant existing and emerging technologies, synthesising insights from analysis, research and experimentation to provide technical advice and inform stakeholder understanding of the implications of technological developments for online trust and safety. Key Responsibilities Provide expert guidance to policy, supervision and enforcement colleagues in the wider Online Safety Group and across Ofcom during policy development processes and industry engagement activities, on the technical aspects of online safety. Analyse the technical feasibility of regulatory proposals and assess their potential impact on online platforms, users and other stakeholders. Provide technical input to support assessments of platform systems and processes against regulatory requirements. Lead the design and delivery of complex research projects, often in partnership with specialist third parties and other policy/functional specialists (e.g. strategists, economists, lawyers, data scientists etc.), ranging from desk based reviews to the delivery of practical experimental and technical demonstration projects. Manage and support projects focussed on: examining in detail aspects of the systems, platforms and standards which are of concern to Ofcom; creating an evidence base for the application of a technology or combination of initiatives to tackle particular challenges relating to online safety, including informing assessments against regulatory expectations; identifying and analysing new technologies that present significant opportunities in areas where existing regulation may be incomplete; supporting the development of new regulatory mechanisms. Produce analytical outputs to support senior management decision making and internal technical capability building across the Online Safety Technology team and the wider Online Safety Group. Monitor developments in the tech industry, including innovations in AI, machine learning, encryption, and data management, to anticipate and advise on future regulatory challenges. Proactively manage internal relationships to help define business relevant research programmes and maximise the application of findings, including by effectively communicating with non technical audiences. Strengthen external relationships with industry, academia, and public bodies to jointly define and deliver research programmes successfully. Represent Ofcom and advocate for the role of technology across a range of external industry and policy working groups, in order to shape the technology debate, the regulatory landscape and inform national policy. Skills, Knowledge and Experience Practical and theoretical expertise in the architectures, integration strategies, deployment models and operation of online networks and systems. Understanding of key concepts in Safety by Design, cybersecurity, encryption standards and data privacy practices with practical knowledge of how these areas affect online safety. Practical knowledge of the operation of technical tools and techniques used in online content moderation, including AI/ML driven systems for text, image and video analysis, hash matching, keyword detection, rule based filters and user access control. Knowledge of assessment techniques to evaluate the performance and scalability of technology systems related to content moderation and user safety. Experience of working in a technical advisory role, with a focus on online safety, digital security, or internet governance is desirable. Articulating Ideas: the ability to translate complex technical concepts into clear, actionable insights for non technical audiences, including internal and external stakeholders, consumers and policy areas. Harmonising work: the ability to work across organisational boundaries in multi disciplinary project teams of policy professionals, technologists, data specialists and lawyers to understand requirements and their mapping to technical specifications and deliver business outcomes. Forming Relationships: strong interpersonal skills and evidence of an ability to interact effectively with, and influence, a range of internal and external stakeholders. Scanning Horizons: the ability to take a strategic view by identifying emerging trends, risks and opportunities and aligning decisions and actions with long term goals to inform effective policy and delivery outcomes. Qualifications Educated to at least degree level (or equivalent) in a relevant engineering or science subject but candidates with evidence of equivalent demonstrable skills and experience in required specialist knowledge areas will also be considered. Inclusive Hiring At Ofcom, our mission is clear: to make communications work for everyone. To achieve that, our people must reflect the diversity of the UK, in background, identity and experience. We believe innovation thrives when difference is valued and everyone feels empowered to contribute their ideas and perspectives. That's why we welcome colleagues of all ethnicities and races, sexes, genders and gender identities, sexual orientations, ages, faiths and beliefs, and those with apparent and non apparent disabilities. We value socio economic diversity, life experience and neurodiversity too. Whether you're a carer, a parent, a veteran, or re entering work after time away, your voice and perspective matter here. We guarantee interviews for disabled applicants who meet the essential criteria for a role. Our recruitment process is intentionally designed to be open and accessible. If you need adjustments, information in a different format or an alternative way to apply, contact us at or . Flexible Working Flexibility is at the heart of how we work because we want you to thrive in a way that suits you best. Most roles can therefore be adapted for part time hours, job shares, or other flexible arrangements. Learn more about our Rewards, Benefits and Wellbeing on our careers page.
The Fidelis Partnership is a leading privately-owned, Bermuda-based Managing General Underwriter, which, through its subsidiaries, is a global underwriter of property, bespoke and specialty insurance and reinsurance products. The Fidelis Partnership is one of the largest Managing General Underwriters globally and its operations also include outwards reinsurance, claims handling, exposure management and portfolio analytics. The Fidelis Partnership also sponsors and incubates specialist MGAs through its Pine Walk platform. The Fidelis Partnership is separately owned and managed from the ownership and management of Fidelis Insurance Group. Across product lines and geographies, we focus on three diversified pillars: reinsurance, specialty and bespoke solutions. We are truly diversified. Our long-standing partnerships with capital providers and quota share partners make us nimble. Our breadth of expertise and capabilities deliver outstanding market returns. The role The Analytics Product Engineering team at The Fidelis Partnership (TFP) builds and manages a bespoke analytical platform that powers our partnership-driven business model. We combine actuarial expertise with advanced technology to deliver innovative, scalable solutions. The Platform Engineer partners with the Analytics product engineering team to design, build and operate platform capabilities that enable our market leading high-performance, distributed computing products to run reliably, securely and efficiently at scale. This includes infrastructure automation, runtime orchestration, CI/CD enablement, observability and performance optimisation. You will work closely with software engineers, data scientists, product owners, delivery leads, and central IT to define and deliver the platform roadmap, balancing speed, control and resilience in a regulated environment. Key accountabilities Define and execute the platform engineering strategy and roadmap aligned to analytics product needs. Design and operate distributed runtime environments including compute orchestration and workload scheduling. Implement Infrastructure as Code (IaC) and automated environment provisioning. Build and maintain CI/CD pipelines supporting distributed systems and shared components. Implement observability through logging, metrics and alerting, improving platform reliability and debuggability. Monitor and optimise system performance, throughput and resource utilisation. Ensure platform security, access control and compliance with internal standards. Own and maintain operational documentation, runbooks and support procedures to ensure continuity of service. Establish knowledge-sharing and cross-training practices to reduce single points of failure. Ensure key platform processes are documented, repeatable and transferable across the team. Support resilience through shared ownership of critical platform components, releases and incident response. Collaborate with engineering squads and stakeholders to drive adoption of platform capabilities and standards. Skills & experience At least 7 years of experience in platform engineering, DevOps or Site Reliability Engineering supporting distributed, high performance compute systems, ideally with Microsoft HPC in a Windows Server environment. Strong experience with hybrid, bare metal and virtualized infrastructure environments. Strong understanding of networking, security and access control principles and components, including Microsoft Entra (Active Directory). Extensive applied experience of observability practices including logging, monitoring and alerting (e.g. SolarWinds). Practical experience of commissioning and maintaining Microsoft SQL Server installations. Experience designing, deploying and maintaining containerisation and orchestration solutions (e.g. Docker, Kubernetes) a significant plus. Experience of using Infrastructure as Code tools such as Terraform or Bicep for definition and management of environments a significant plus. Solid experience of provisioning and managing storage, backup/restore and Disaster Recovery solutions. Strong communication and stakeholder engagement skills. Diversity, Equity & Inclusion Insofar as possible, we aim to ensure the composition of our workforce reflects the make-up of the local community We have specific programmes in all our offices to support diversity within the hiring process, e.g. internship and scholarship award programmes This is a particular focus in Bermuda, where we engage actively with local organisations to source diverse talent and provide coaching/mentoring for underrepresented groups We aim to maintain a focus on equal opportunities across all stages of hiring process We measure and minimise the pay gap where possible. To ensure that all candidates have a fair opportunity to show their abilities during the recruitment process, adjustments may be required. If your physical or mental health or disability may necessitate an adjustment, please contact to discuss. All information relating to your health or disability will be treated in accordance with our data protection policy. The Leader in Bespoke & Specialty insurance
25/07/2026
Full time
The Fidelis Partnership is a leading privately-owned, Bermuda-based Managing General Underwriter, which, through its subsidiaries, is a global underwriter of property, bespoke and specialty insurance and reinsurance products. The Fidelis Partnership is one of the largest Managing General Underwriters globally and its operations also include outwards reinsurance, claims handling, exposure management and portfolio analytics. The Fidelis Partnership also sponsors and incubates specialist MGAs through its Pine Walk platform. The Fidelis Partnership is separately owned and managed from the ownership and management of Fidelis Insurance Group. Across product lines and geographies, we focus on three diversified pillars: reinsurance, specialty and bespoke solutions. We are truly diversified. Our long-standing partnerships with capital providers and quota share partners make us nimble. Our breadth of expertise and capabilities deliver outstanding market returns. The role The Analytics Product Engineering team at The Fidelis Partnership (TFP) builds and manages a bespoke analytical platform that powers our partnership-driven business model. We combine actuarial expertise with advanced technology to deliver innovative, scalable solutions. The Platform Engineer partners with the Analytics product engineering team to design, build and operate platform capabilities that enable our market leading high-performance, distributed computing products to run reliably, securely and efficiently at scale. This includes infrastructure automation, runtime orchestration, CI/CD enablement, observability and performance optimisation. You will work closely with software engineers, data scientists, product owners, delivery leads, and central IT to define and deliver the platform roadmap, balancing speed, control and resilience in a regulated environment. Key accountabilities Define and execute the platform engineering strategy and roadmap aligned to analytics product needs. Design and operate distributed runtime environments including compute orchestration and workload scheduling. Implement Infrastructure as Code (IaC) and automated environment provisioning. Build and maintain CI/CD pipelines supporting distributed systems and shared components. Implement observability through logging, metrics and alerting, improving platform reliability and debuggability. Monitor and optimise system performance, throughput and resource utilisation. Ensure platform security, access control and compliance with internal standards. Own and maintain operational documentation, runbooks and support procedures to ensure continuity of service. Establish knowledge-sharing and cross-training practices to reduce single points of failure. Ensure key platform processes are documented, repeatable and transferable across the team. Support resilience through shared ownership of critical platform components, releases and incident response. Collaborate with engineering squads and stakeholders to drive adoption of platform capabilities and standards. Skills & experience At least 7 years of experience in platform engineering, DevOps or Site Reliability Engineering supporting distributed, high performance compute systems, ideally with Microsoft HPC in a Windows Server environment. Strong experience with hybrid, bare metal and virtualized infrastructure environments. Strong understanding of networking, security and access control principles and components, including Microsoft Entra (Active Directory). Extensive applied experience of observability practices including logging, monitoring and alerting (e.g. SolarWinds). Practical experience of commissioning and maintaining Microsoft SQL Server installations. Experience designing, deploying and maintaining containerisation and orchestration solutions (e.g. Docker, Kubernetes) a significant plus. Experience of using Infrastructure as Code tools such as Terraform or Bicep for definition and management of environments a significant plus. Solid experience of provisioning and managing storage, backup/restore and Disaster Recovery solutions. Strong communication and stakeholder engagement skills. Diversity, Equity & Inclusion Insofar as possible, we aim to ensure the composition of our workforce reflects the make-up of the local community We have specific programmes in all our offices to support diversity within the hiring process, e.g. internship and scholarship award programmes This is a particular focus in Bermuda, where we engage actively with local organisations to source diverse talent and provide coaching/mentoring for underrepresented groups We aim to maintain a focus on equal opportunities across all stages of hiring process We measure and minimise the pay gap where possible. To ensure that all candidates have a fair opportunity to show their abilities during the recruitment process, adjustments may be required. If your physical or mental health or disability may necessitate an adjustment, please contact to discuss. All information relating to your health or disability will be treated in accordance with our data protection policy. The Leader in Bespoke & Specialty insurance
AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next generation agentic AI assistant, purpose built for strategic patent analysis. Protégé replaces complex filter based workflows with natural language questions, surfacing structured, decision ready insights grounded in trusted data and established metrics. About the role As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non technical stakeholders. Requirements Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM based systems, including RAG pipelines, agentic/tool use frameworks, and multi step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise grade AI systems with strong non functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event driven, cloud native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. USA Job Seekers EEO Know Your Rights. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
25/07/2026
Full time
AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next generation agentic AI assistant, purpose built for strategic patent analysis. Protégé replaces complex filter based workflows with natural language questions, surfacing structured, decision ready insights grounded in trusted data and established metrics. About the role As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non technical stakeholders. Requirements Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM based systems, including RAG pipelines, agentic/tool use frameworks, and multi step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise grade AI systems with strong non functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event driven, cloud native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. USA Job Seekers EEO Know Your Rights. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Join us to shape the future of AI and machine learning in financial services. You will lead innovative projects that deliver real business value, working closely with talented colleagues across Product, Engineering, Data, Risk, Compliance, and Operations. We offer opportunities for growth, hands-on technical challenges, and the chance to make a meaningful impact. Your leadership and expertise will help us deliver reliable, scalable solutions that transform how we serve our clients. Job Summary As an Applied AI ML Director in the International Consumer Bank (ICB) team, you will drive the end-to-end delivery of high-impact AI and machine learning solutions. You will partner with business leaders to define valuable use cases, translate outcomes into measurable objectives, and ensure production-ready deployments. Your role combines technical depth, people leadership, and strong delivery discipline. You will help shape our Applied AI/ML strategy and foster a culture of excellence and innovation. Job Responsibilities Own end-to-end AI delivery, partnering with the business to identify use cases and deliver production solutions Review and contribute to solution design, modelling, experimentation, and deployment architecture Unblock teams on complex technical issues with hands-on support Build, coach, and develop a high-performing team of data scientists, business analysts, and engineers Establish repeatable practices for data quality, evaluation, deployment, and monitoring Define and deliver the Applied AI/ML strategy for priority domains Create reusable patterns such as reference architectures, templates, and playbooks Partner with product, business leads, and the AI Delivery team to prioritize and deliver work Ensure solutions meet governance, privacy, and security requirements Present technical decisions and performance results to senior stakeholders Document assumptions, limitations, and controls Required Qualifications, Capabilities, and Skills Proven expertise and hands-on delivery of AI/ML in financial services Strong technical depth in GenAI/LLMs, prompt engineering, RAG architecture, fine-tuning, vector databases Knowledge of evaluation metrics for LLMs and safety/guardrail techniques Understanding of supervised learning and data engineering fundamentals Leadership experience with ability to build teams and lead cross-functional delivery Awareness of governance and controls in a regulated environment Excellent communication skills to distil complex technical topics for senior stakeholders Preferred Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Engineering, Statistics, or a related field
25/07/2026
Full time
Join us to shape the future of AI and machine learning in financial services. You will lead innovative projects that deliver real business value, working closely with talented colleagues across Product, Engineering, Data, Risk, Compliance, and Operations. We offer opportunities for growth, hands-on technical challenges, and the chance to make a meaningful impact. Your leadership and expertise will help us deliver reliable, scalable solutions that transform how we serve our clients. Job Summary As an Applied AI ML Director in the International Consumer Bank (ICB) team, you will drive the end-to-end delivery of high-impact AI and machine learning solutions. You will partner with business leaders to define valuable use cases, translate outcomes into measurable objectives, and ensure production-ready deployments. Your role combines technical depth, people leadership, and strong delivery discipline. You will help shape our Applied AI/ML strategy and foster a culture of excellence and innovation. Job Responsibilities Own end-to-end AI delivery, partnering with the business to identify use cases and deliver production solutions Review and contribute to solution design, modelling, experimentation, and deployment architecture Unblock teams on complex technical issues with hands-on support Build, coach, and develop a high-performing team of data scientists, business analysts, and engineers Establish repeatable practices for data quality, evaluation, deployment, and monitoring Define and deliver the Applied AI/ML strategy for priority domains Create reusable patterns such as reference architectures, templates, and playbooks Partner with product, business leads, and the AI Delivery team to prioritize and deliver work Ensure solutions meet governance, privacy, and security requirements Present technical decisions and performance results to senior stakeholders Document assumptions, limitations, and controls Required Qualifications, Capabilities, and Skills Proven expertise and hands-on delivery of AI/ML in financial services Strong technical depth in GenAI/LLMs, prompt engineering, RAG architecture, fine-tuning, vector databases Knowledge of evaluation metrics for LLMs and safety/guardrail techniques Understanding of supervised learning and data engineering fundamentals Leadership experience with ability to build teams and lead cross-functional delivery Awareness of governance and controls in a regulated environment Excellent communication skills to distil complex technical topics for senior stakeholders Preferred Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Engineering, Statistics, or a related field
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.
25/07/2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
24/07/2026
Full time
Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites
Roke, 5th Floor, Space, Woking, Surrey, United Kingdom Job Description Posted Tuesday 21 July 2026 at 00:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Senior Project Manager Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Work on leading edge technology solutions in the following disciplines: AI & Data Science, Cyber, Cloud, Big Data, Software Development, DevOps, SRE, Platform Engineering. Role We are looking for an experienced, tenacious and self motivated Project Manager to join our National Security (NS) Business Unit as part of a growing team. Reporting to the NS Head of Delivery, the position will be responsible for the bid and delivery of a wide range of project work ranging from Research & Development, Product Development to Software and Solution Delivery, for various markets and high profile customers in the UK and internationally. Time at client sites will be required. Job Purpose & Key Responsibilities Successfully deliver projects from concept to project completion as per contractual requirements, within time scales, to quality and cost whilst delighting the customer in accordance with company processes and procedures Lead the delivery of competitive and compelling bids that clearly address customer pain points and requirements in conjunction with the account and technical team Develop effective relationships with clients, suppliers, subcontractors and partners, to ensure successful and collaborative project delivery Financial management of projects to ensure delivery against accurate financial forecasts (revenue, cash and profit) for projects using the company tools and processes Manage the resource requirements of the project(s) and build solid working relationships with the Resourcing function and client stakeholders Create and lead effective project teams to deliver successful projects by setting clear and ambitious objectives for the team and supporting the team to achieve them Experience, capable and willing to fulfil the Project Management role in the different phases of the project lifecycle, from idea / concept to project closure Work with technical teams to document and manage assumptions and dependencies to produce a project plan and maintain this plan through the life of the project Ensure requirements are being managed, recorded and signed off in the designated tool for the project Maintain a risk register of threats and opportunities for the programme and validate contingency costs against these Work with the Account team to identify opportunities for expansion and deliver against these Knowledge, Skills & Experience Evidence experience, and a strong track record, of managing complex technical bids and projects - including early TRL research combining hardware and software solutions Application of the appropriate delivery methodology for the right project at the right time, be completely fluent in both waterfall and agile approaches Excellent stakeholder management - business customers, technical customers, partners, the technical teams and internal business stakeholders Demonstrate solid business acumen in relation to the project delivery and continued relationship development through the project life cycle and into subsequent follow on opportunities Highly effective problem solving ability supported by pro active and adaptive team leadership skills Must have a strong appreciation of technology and trends, and associated engineering methods Must be flexible and willing to contribute where needed in the business cycle to further the team's success Able to operate in a deadline focused environment and balance multiple demands and priorities APMP or PMP Qualifications or equivalent experience Location & Working Environment You'll find our Woking site in a modern building on the outskirts of London. Rated excellent for sustainability by BREEAM & Fitwel certified - you'll feel better for visiting. This site provides key links to our customers in London, is a 5 minute walk from the train station, has secure parking nearby and dedicated cycle storage. There is an expectation that a significant proportion of your time will be spent working on customer sites in the London area. Clearance: Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a British Citizen and have resided in the U.K. for the last 10 years.
24/07/2026
Full time
Roke, 5th Floor, Space, Woking, Surrey, United Kingdom Job Description Posted Tuesday 21 July 2026 at 00:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Senior Project Manager Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Work on leading edge technology solutions in the following disciplines: AI & Data Science, Cyber, Cloud, Big Data, Software Development, DevOps, SRE, Platform Engineering. Role We are looking for an experienced, tenacious and self motivated Project Manager to join our National Security (NS) Business Unit as part of a growing team. Reporting to the NS Head of Delivery, the position will be responsible for the bid and delivery of a wide range of project work ranging from Research & Development, Product Development to Software and Solution Delivery, for various markets and high profile customers in the UK and internationally. Time at client sites will be required. Job Purpose & Key Responsibilities Successfully deliver projects from concept to project completion as per contractual requirements, within time scales, to quality and cost whilst delighting the customer in accordance with company processes and procedures Lead the delivery of competitive and compelling bids that clearly address customer pain points and requirements in conjunction with the account and technical team Develop effective relationships with clients, suppliers, subcontractors and partners, to ensure successful and collaborative project delivery Financial management of projects to ensure delivery against accurate financial forecasts (revenue, cash and profit) for projects using the company tools and processes Manage the resource requirements of the project(s) and build solid working relationships with the Resourcing function and client stakeholders Create and lead effective project teams to deliver successful projects by setting clear and ambitious objectives for the team and supporting the team to achieve them Experience, capable and willing to fulfil the Project Management role in the different phases of the project lifecycle, from idea / concept to project closure Work with technical teams to document and manage assumptions and dependencies to produce a project plan and maintain this plan through the life of the project Ensure requirements are being managed, recorded and signed off in the designated tool for the project Maintain a risk register of threats and opportunities for the programme and validate contingency costs against these Work with the Account team to identify opportunities for expansion and deliver against these Knowledge, Skills & Experience Evidence experience, and a strong track record, of managing complex technical bids and projects - including early TRL research combining hardware and software solutions Application of the appropriate delivery methodology for the right project at the right time, be completely fluent in both waterfall and agile approaches Excellent stakeholder management - business customers, technical customers, partners, the technical teams and internal business stakeholders Demonstrate solid business acumen in relation to the project delivery and continued relationship development through the project life cycle and into subsequent follow on opportunities Highly effective problem solving ability supported by pro active and adaptive team leadership skills Must have a strong appreciation of technology and trends, and associated engineering methods Must be flexible and willing to contribute where needed in the business cycle to further the team's success Able to operate in a deadline focused environment and balance multiple demands and priorities APMP or PMP Qualifications or equivalent experience Location & Working Environment You'll find our Woking site in a modern building on the outskirts of London. Rated excellent for sustainability by BREEAM & Fitwel certified - you'll feel better for visiting. This site provides key links to our customers in London, is a 5 minute walk from the train station, has secure parking nearby and dedicated cycle storage. There is an expectation that a significant proportion of your time will be spent working on customer sites in the London area. Clearance: Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a British Citizen and have resided in the U.K. for the last 10 years.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. We offer competitive compensation, a strong career path, and a role where you own what you build, and your impact is visible. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location: 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Compensation is competitive and commensurate with experience.
24/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. We offer competitive compensation, a strong career path, and a role where you own what you build, and your impact is visible. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location: 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Compensation is competitive and commensurate with experience.
AI ArchitectApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114908 AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team - LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable- Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
24/07/2026
Full time
AI ArchitectApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114908 AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team - LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable- Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoirerred simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You are a technical authority who shapes what gets built and how. At Landmark, that means owning the technical direction for products that oil and gas operators use for high-stakes engineering decisions. You work under broad direction, make architecture decisions that hold up over time, and raise the quality and capability of the teams around you. You work closely with Product Management and architects on new application design and major enhancements, and you serve as the first technical escalation point when something hard needs to be sorted out in your area. The decisions you make end up in production code that matters. Strong software engineering fundamentals and the technical depth to independently own complex areas of a product are the primary requirements. Domain knowledge is valuable but not required at hire. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, TypeScript, and Fortran Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Shape the technical direction of the products and platforms you own across near-term and long-term planning horizons Scope major technical work: estimate effort, identify risks, and define the delivery approach Design and build new applications and major enhancements in partnership with Product Management and architects Serve as the technical authority for your area of the application or architecture: the person the team turns to when a decision is hard or a problem is deep Evaluate architecture and implementation for performance, scalability, and security weaknesses, and drive improvements through to resolution Lead design and code reviews with a focus on long-term quality, not just correctness Challenge the delivery process when it produces slow feedback, unnecessary risk, or poor outcomes Mentor engineers at junior and mid levels through code reviews, technical guidance, and the standard you set in your own work Stay current on tools, practices, and technologies relevant to your area, and drive adoption where they improve the product Own security for your area: set coding standards, catch vulnerabilities in design and code reviews, and drive fixes to completion Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 10 or more years of software development experience Deep proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js), and a history of delivering production software in that stack Experience designing and owning the architecture of a complex software system or major subsystem, with technical decisions that held up across multiple releases A track record of providing technical leadership across a team or product area Communication skills sharp enough to explain a technical trade-off to a product manager and a design choice to a junior engineer with equal clarity Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The senior engineer who succeeds in this role thinks at the level of the system, not only the feature. You bring the experience to know when a technical decision will cost the team later, the credibility to say so clearly, and the follow-through to drive it toward a better outcome. You are comfortable making decisions with incomplete information and pragmatic enough to ship when the solution is sound, even if it is not perfect. You do not wait for someone to identify what needs fixing. You see it, own it, and drive it to resolution. You stay technically sharp because you are genuinely curious, and you bring what you learn back to the team. You invest in the people around you because you understand that your long-term contribution depends on the quality of the team, not only the quality of your own code. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. Here you have the autonomy to make real technical decisions, peers strong enough to challenge you, and problems deep enough to be worth solving well. We offer competitive compensation including bonus and long-term incentive programs, a strong career path, and a role where your technical judgment shapes what gets built. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Senior Software Principal - Advisor Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Requisition Number: 209989 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Compensation is competitive and commensurate with experience.
24/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoirerred simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You are a technical authority who shapes what gets built and how. At Landmark, that means owning the technical direction for products that oil and gas operators use for high-stakes engineering decisions. You work under broad direction, make architecture decisions that hold up over time, and raise the quality and capability of the teams around you. You work closely with Product Management and architects on new application design and major enhancements, and you serve as the first technical escalation point when something hard needs to be sorted out in your area. The decisions you make end up in production code that matters. Strong software engineering fundamentals and the technical depth to independently own complex areas of a product are the primary requirements. Domain knowledge is valuable but not required at hire. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, TypeScript, and Fortran Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Shape the technical direction of the products and platforms you own across near-term and long-term planning horizons Scope major technical work: estimate effort, identify risks, and define the delivery approach Design and build new applications and major enhancements in partnership with Product Management and architects Serve as the technical authority for your area of the application or architecture: the person the team turns to when a decision is hard or a problem is deep Evaluate architecture and implementation for performance, scalability, and security weaknesses, and drive improvements through to resolution Lead design and code reviews with a focus on long-term quality, not just correctness Challenge the delivery process when it produces slow feedback, unnecessary risk, or poor outcomes Mentor engineers at junior and mid levels through code reviews, technical guidance, and the standard you set in your own work Stay current on tools, practices, and technologies relevant to your area, and drive adoption where they improve the product Own security for your area: set coding standards, catch vulnerabilities in design and code reviews, and drive fixes to completion Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 10 or more years of software development experience Deep proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js), and a history of delivering production software in that stack Experience designing and owning the architecture of a complex software system or major subsystem, with technical decisions that held up across multiple releases A track record of providing technical leadership across a team or product area Communication skills sharp enough to explain a technical trade-off to a product manager and a design choice to a junior engineer with equal clarity Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The senior engineer who succeeds in this role thinks at the level of the system, not only the feature. You bring the experience to know when a technical decision will cost the team later, the credibility to say so clearly, and the follow-through to drive it toward a better outcome. You are comfortable making decisions with incomplete information and pragmatic enough to ship when the solution is sound, even if it is not perfect. You do not wait for someone to identify what needs fixing. You see it, own it, and drive it to resolution. You stay technically sharp because you are genuinely curious, and you bring what you learn back to the team. You invest in the people around you because you understand that your long-term contribution depends on the quality of the team, not only the quality of your own code. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. Here you have the autonomy to make real technical decisions, peers strong enough to challenge you, and problems deep enough to be worth solving well. We offer competitive compensation including bonus and long-term incentive programs, a strong career path, and a role where your technical judgment shapes what gets built. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Senior Software Principal - Advisor Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Requisition Number: 209989 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Compensation is competitive and commensurate with experience.
