Job Title: Automation Operations Manager Location: Hybrid working between our head office in Durrington (Worthing) approx 2 days pw, and home. Contract Type: Permanent Hours: 37 hours per week, Monday - Friday Salary: Up to £72,000, commensurate to skills and experience. About the role Water underpins everyday life, yet it remains an industry that is still evolving in how it measures and realises value from transformation, data and automation. At Southern Water, that is changing. We are building a new Process & Intelligent Automation capability at the heart of the organisation. This is not about incremental improvements, it is about ensuring every investment in automation, AI and process optimisation delivers clear, measurable and sustained value for the business, our customers and regulators. As Automation Operations Manager, you will play a critical role in ensuring the reliability, resilience and performance of Southern Water's growing automation and AI estate. This is a senior operational leadership role within a new capability, giving you the opportunity to shape how automation services are supported, governed and continuously improved across the organisation. You will own the operational strategy for automation platforms and AI-enabled services, ensuring they remain secure, stable and aligned with business priorities while delivering measurable value at scale. Reporting to the Head of Process & Intelligent Automation, you will lead an external managed service team responsible for supporting automation platforms and solutions in production. Working closely with Architecture, Engineering, Integration and Platform teams, you will ensure operational considerations are embedded throughout the solution lifecycle, from design through to support, optimisation and retirement. This role goes beyond traditional IT operations. It is about building and leading a modern automation operations capability that enables automation and AI technologies to operate safely, reliably and at enterprise scale. What you'll be responsible for: Leading the operational management of Southern Water's automation and AI estate, ensuring services remain reliable, resilient and secure. Managing and overseeing an external managed service team responsible for supporting live automation solutions and platforms. Acting as the senior escalation point for major incidents, coordinating cross-functional teams to restore service and minimise business impact. Driving service excellence through effective incident, problem, change and release management processes. Overseeing the operation of Power Platform solutions, RPA platforms, Logic Apps, Alteryx workflows, Co-Pilot agents, Foundry processes and related automation technologies. Monitoring platform health, performance, capacity and service trends to proactively identify risks and opportunities for improvement. Leading root cause investigations and implementing long-term corrective actions to improve operational stability. Ensuring operational activities meet agreed SLAs, regulatory requirements and internal governance standards. Working with Architecture and Platform Engineering teams to maintain alignment with security, data governance and enterprise technology standards. Managing operational documentation, runbooks, support models and audit evidence. Coordinating operational readiness, deployment support, patching cycles and release activities across automation platforms. Building operational reporting and dashboards that provide visibility of service health, risk and performance. Identifying opportunities to improve automation support processes, tooling and operating models. Supporting the continued growth and scaling of automation and AI capabilities across Southern Water. What you'll bring to the role: Essential Significant experience managing large-scale production application environments, particularly SaaS-based platforms. Minimum 10 years' experience in IT operations, application support, automation operations or related operational leadership roles. Minimum 5 years' experience managing outsourced or managed service support organisations against demanding business SLAs. Proven experience owning operational services, incident management and service performance within complex technology environments. Strong understanding of IT service management principles, including incident, problem, change and release management. Experience supporting automation technologies such as Power Platform, RPA, Logic Apps, workflow orchestration or similar platforms. Strong knowledge of cloud-based services and operational practices across Azure or equivalent environments. Experience interpreting monitoring dashboards, telemetry, logs and performance metrics to drive service improvements. Excellent stakeholder management skills, with the ability to engage effectively across technical, operational and executive audiences. Experience leading teams and suppliers to deliver high-quality support services and operational outcomes. Strong understanding of security, access controls, governance and operational compliance requirements. Desirable ITIL v4 certification. Microsoft certifications such as PL-400, PL-600, AZ-104 or related technologies. Blue Prism, ServiceNow RPA or automation operations certifications. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk or Dynatrace. Understanding of AI-enabled services and operational monitoring of AI solutions. Knowledge of enterprise integration platforms, APIs and cloud-native technologies. Experience working within a regulated or critical national infrastructure environment. Familiarity with Southern Water's technology landscape, including ServiceNow, Workday, Maximo, GIS platforms, SAP BO and WaterWorxx.
Aug 21, 2026
Full time
Job Title: Automation Operations Manager Location: Hybrid working between our head office in Durrington (Worthing) approx 2 days pw, and home. Contract Type: Permanent Hours: 37 hours per week, Monday - Friday Salary: Up to £72,000, commensurate to skills and experience. About the role Water underpins everyday life, yet it remains an industry that is still evolving in how it measures and realises value from transformation, data and automation. At Southern Water, that is changing. We are building a new Process & Intelligent Automation capability at the heart of the organisation. This is not about incremental improvements, it is about ensuring every investment in automation, AI and process optimisation delivers clear, measurable and sustained value for the business, our customers and regulators. As Automation Operations Manager, you will play a critical role in ensuring the reliability, resilience and performance of Southern Water's growing automation and AI estate. This is a senior operational leadership role within a new capability, giving you the opportunity to shape how automation services are supported, governed and continuously improved across the organisation. You will own the operational strategy for automation platforms and AI-enabled services, ensuring they remain secure, stable and aligned with business priorities while delivering measurable value at scale. Reporting to the Head of Process & Intelligent Automation, you will lead an external managed service team responsible for supporting automation platforms and solutions in production. Working closely with Architecture, Engineering, Integration and Platform teams, you will ensure operational considerations are embedded throughout the solution lifecycle, from design through to support, optimisation and retirement. This role goes beyond traditional IT operations. It is about building and leading a modern automation operations capability that enables automation and AI technologies to operate safely, reliably and at enterprise scale. What you'll be responsible for: Leading the operational management of Southern Water's automation and AI estate, ensuring services remain reliable, resilient and secure. Managing and overseeing an external managed service team responsible for supporting live automation solutions and platforms. Acting as the senior escalation point for major incidents, coordinating cross-functional teams to restore service and minimise business impact. Driving service excellence through effective incident, problem, change and release management processes. Overseeing the operation of Power Platform solutions, RPA platforms, Logic Apps, Alteryx workflows, Co-Pilot agents, Foundry processes and related automation technologies. Monitoring platform health, performance, capacity and service trends to proactively identify risks and opportunities for improvement. Leading root cause investigations and implementing long-term corrective actions to improve operational stability. Ensuring operational activities meet agreed SLAs, regulatory requirements and internal governance standards. Working with Architecture and Platform Engineering teams to maintain alignment with security, data governance and enterprise technology standards. Managing operational documentation, runbooks, support models and audit evidence. Coordinating operational readiness, deployment support, patching cycles and release activities across automation platforms. Building operational reporting and dashboards that provide visibility of service health, risk and performance. Identifying opportunities to improve automation support processes, tooling and operating models. Supporting the continued growth and scaling of automation and AI capabilities across Southern Water. What you'll bring to the role: Essential Significant experience managing large-scale production application environments, particularly SaaS-based platforms. Minimum 10 years' experience in IT operations, application support, automation operations or related operational leadership roles. Minimum 5 years' experience managing outsourced or managed service support organisations against demanding business SLAs. Proven experience owning operational services, incident management and service performance within complex technology environments. Strong understanding of IT service management principles, including incident, problem, change and release management. Experience supporting automation technologies such as Power Platform, RPA, Logic Apps, workflow orchestration or similar platforms. Strong knowledge of cloud-based services and operational practices across Azure or equivalent environments. Experience interpreting monitoring dashboards, telemetry, logs and performance metrics to drive service improvements. Excellent stakeholder management skills, with the ability to engage effectively across technical, operational and executive audiences. Experience leading teams and suppliers to deliver high-quality support services and operational outcomes. Strong understanding of security, access controls, governance and operational compliance requirements. Desirable ITIL v4 certification. Microsoft certifications such as PL-400, PL-600, AZ-104 or related technologies. Blue Prism, ServiceNow RPA or automation operations certifications. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk or Dynatrace. Understanding of AI-enabled services and operational monitoring of AI solutions. Knowledge of enterprise integration platforms, APIs and cloud-native technologies. Experience working within a regulated or critical national infrastructure environment. Familiarity with Southern Water's technology landscape, including ServiceNow, Workday, Maximo, GIS platforms, SAP BO and WaterWorxx.
Beamery is seeking a Senior Product Manager to own the Data Foundry end-to-end. You will shape the data platform powering Talent CRM and Workforce Suite, enabling data-as-a-service via MCP/API and internal embedding across products. You will collaborate with data science, data engineering and integrations leads to translate needs into delivery, drive commercial impact, and ensure governance and security across enterprise data.
Aug 13, 2026
Full time
Beamery is seeking a Senior Product Manager to own the Data Foundry end-to-end. You will shape the data platform powering Talent CRM and Workforce Suite, enabling data-as-a-service via MCP/API and internal embedding across products. You will collaborate with data science, data engineering and integrations leads to translate needs into delivery, drive commercial impact, and ensure governance and security across enterprise data.
ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery's unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world's most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we're on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What's ahead - and why it's an exciting time to join the team: Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future-powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make fairer decisions, and expand access to opportunity at scale. But it's not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. About the opportunity at Beamery We are looking for a Senior Product Manager to own Beamery's Data Foundry end to end. The Data Foundry is Beamery's proprietary data platform that powers existing and emerging product lines, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API as an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across the platform. You will treat data both as infrastructure embedded within our products and as a product that customers buy in its own right. Beyond internal embedding and direct commercial sales, the platform is open - customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define how the platform opens up for customer and partner innovation. You will work at the centre of the platform. On one side you serve the Talent CRM and Workforce Suite product managers as your customers, agreeing the data contracts they build on. On the other you partner with the data science, data engineering and integrations engineering leads to turn those needs into delivery. What you will be doing Ownership and strategy Own the Data Foundry vision, strategy and roadmap, framing each item as a bet with a clear driver, aligned to overall strategic objectives Ensure alignment of Data Foundry strategy to Beamery's AI strategy, reflecting the shift from providing AI assistants to providing AI access through MCP and API channels. Decide what Data Foundry provides as internal infrastructure and what is packaged and sold as a customer-facing product. Make and defend build versus buy decisions across integrations, analytics, AI and taxonomy capabilities. Discovery and commercial impact Discover and validate what external customers want from data-as-a-service, and partner with Sales and Customer Success to drive adoption with clear GTM and enablement plans Build the case for Data Foundry as a new commercial channel, defining and proving the standalone commercial model alongside its role as platform foundation, quantify the value it unlocks for specific customers and deals, and measure success against value and usage metrics. Partnership and delivery Lead your team to deliver solutions our customers can't imagine working without and that deliver measurable customer and business outcomes Agree and maintain the data contracts with the CRM and Workforce Suite product managers, treating them as internal customers with real commitments. Prioritise across data science, data engineering and integrations engineering, translating tribe needs into a clear and deliverable plan. Communication & alignment Communicate transparently and create alignment between peers and leadership on priorities, trade offs and progress Manage customer and sales expectations through well managed structured cadences Data governance and trust Own how workforce data is governed, secured and access-controlled as it is exposed through APIs and MCP, meeting enterprise privacy and compliance expectations. Ensure the outputs of Data Foundry's models are measurable and explainable, so customers and internal teams can trust and act on the results. What we are looking for A product manager experienced in complex technical, data or AI products, ideally in enterprise B2B SaaS. Strong grasp of data platforms, APIs and integrations, comfortable making architecture-adjacent decisions with engineering and data science leads. Experience handling sensitive or regulated data, with a clear view of governance, security and privacy. An analytical thinker who uses data to find opportunities, prioritise and measure success. A confident prioritiser who can balance competing tribe roadmaps and internal customers without losing direction. Commercially fluent, able to connect product decisions to revenue, cost and customer ROI. A clear communicator who builds trust across product, data science and engineering, and who is comfortable taking a position and explaining the reasoning. Genuinely interested in how AI is reshaping the talent and workforce space, and in giving customers trusted, explainable access to their data. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.
Aug 13, 2026
Full time
ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery's unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world's most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we're on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What's ahead - and why it's an exciting time to join the team: Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future-powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make fairer decisions, and expand access to opportunity at scale. But it's not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. About the opportunity at Beamery We are looking for a Senior Product Manager to own Beamery's Data Foundry end to end. The Data Foundry is Beamery's proprietary data platform that powers existing and emerging product lines, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API as an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across the platform. You will treat data both as infrastructure embedded within our products and as a product that customers buy in its own right. Beyond internal embedding and direct commercial sales, the platform is open - customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define how the platform opens up for customer and partner innovation. You will work at the centre of the platform. On one side you serve the Talent CRM and Workforce Suite product managers as your customers, agreeing the data contracts they build on. On the other you partner with the data science, data engineering and integrations engineering leads to turn those needs into delivery. What you will be doing Ownership and strategy Own the Data Foundry vision, strategy and roadmap, framing each item as a bet with a clear driver, aligned to overall strategic objectives Ensure alignment of Data Foundry strategy to Beamery's AI strategy, reflecting the shift from providing AI assistants to providing AI access through MCP and API channels. Decide what Data Foundry provides as internal infrastructure and what is packaged and sold as a customer-facing product. Make and defend build versus buy decisions across integrations, analytics, AI and taxonomy capabilities. Discovery and commercial impact Discover and validate what external customers want from data-as-a-service, and partner with Sales and Customer Success to drive adoption with clear GTM and enablement plans Build the case for Data Foundry as a new commercial channel, defining and proving the standalone commercial model alongside its role as platform foundation, quantify the value it unlocks for specific customers and deals, and measure success against value and usage metrics. Partnership and delivery Lead your team to deliver solutions our customers can't imagine working without and that deliver measurable customer and business outcomes Agree and maintain the data contracts with the CRM and Workforce Suite product managers, treating them as internal customers with real commitments. Prioritise across data science, data engineering and integrations engineering, translating tribe needs into a clear and deliverable plan. Communication & alignment Communicate transparently and create alignment between peers and leadership on priorities, trade offs and progress Manage customer and sales expectations through well managed structured cadences Data governance and trust Own how workforce data is governed, secured and access-controlled as it is exposed through APIs and MCP, meeting enterprise privacy and compliance expectations. Ensure the outputs of Data Foundry's models are measurable and explainable, so customers and internal teams can trust and act on the results. What we are looking for A product manager experienced in complex technical, data or AI products, ideally in enterprise B2B SaaS. Strong grasp of data platforms, APIs and integrations, comfortable making architecture-adjacent decisions with engineering and data science leads. Experience handling sensitive or regulated data, with a clear view of governance, security and privacy. An analytical thinker who uses data to find opportunities, prioritise and measure success. A confident prioritiser who can balance competing tribe roadmaps and internal customers without losing direction. Commercially fluent, able to connect product decisions to revenue, cost and customer ROI. A clear communicator who builds trust across product, data science and engineering, and who is comfortable taking a position and explaining the reasoning. Genuinely interested in how AI is reshaping the talent and workforce space, and in giving customers trusted, explainable access to their data. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.
ABOUT US Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom, and Australia. This is a full-time position mainly in our Kidlington, Oxford office with the occasional requirement to be in the National Quantum Computing Centre, Harwell. Work from home permitted up to 2 days per week based on business needs and manager approval. POSITION SUMMARY ThePhotonics Technical Lead (PTL)plays a strategic role in shaping and advancingInfleqtion'sintegrated photonics capabilities, working closely with global technical and business leaders to transition innovative technologies into products and customer solutions. As the UK technical lead and primary point of contact for integrated photonics, this roleis responsible fordeveloping and executing the photonics roadmap across a portfolio of projects spanning photonic integrated circuits (PICs), laser systems, and integrated photonic subsystems for quantum technologies. The role will collaborate extensively with multidisciplinary teams acrossInfleqtion'sUK, US, and Australian operations to align technology development with company strategy, product roadmaps, and customer needs. Primary responsibilities include overseeing technical project execution, leading photonicsresearchand development activities, managing technical personnel, developing external partnerships, andidentifyingopportunities to transition photonics technologies into commercial products. The successful candidate will combine deep technicalexpertisewith strong leadership skills to helpestablishand growInfleqtion'sglobal photonics capabilities. Project and Technical Leadership Lead the UK integrated photonics capability and act as the primary technical point of contact for photonics activities. Oversee the technical performance of a portfolio of photonics projects, ensuring alignment with business, product, and customer objectives. Develop andmaintaintechnical roadmaps for PICs, laser systems, and integrated photonic subsystems. Collaborate with Quantum Systems teams toidentifyand develop integrated photonics opportunities. Set technicalobjectives, assess feasibility, manage technical risks, and support project delivery. Present technical updates, milestone reviews, design reviews, and recommendations to internal and external stakeholders. Identify technologies suitable for product development, commercialisation, and intellectual property protection. Integrated Photonics Development Lead the design, simulation, layout, fabrication, testing, and packaging of silicon photonics PICs. Design and develop photonic components including lasers, modulators, passive devices, and integrated subsystems. Work with foundry partners, III-V gain chip suppliers, and packaging companies to develop and integrate photonic devices. Lead laboratory testing and characterisation of PIC-based devices, including automated test methods. Characterise lasers and modulated laser systems, including DC measurements, frequency noise, relative intensity noise, and high-speed waveform analysis. Evaluate micro-combs and PIC-based approaches for miniature frequency combs and atom-addressing applications. Team, Stakeholder, and Partner Engagement Build, lead, and mentor technical contributors within the photonics team. Assign responsibilities and guide project-level technical contributors toward successful outcomes. Work closely with global technical teams across the UK, US, and Australia. Act as a technical interface with partners, suppliers, subcontractors, customers, and collaborators. Support proposal development, statements of work, technical planning, and externally funded programme activities. Promote strong HSE practices and safe working culture in laboratory environments. What You Will Bring to the Team Technical Knowledge PhD in Photonics, Optoelectronics, or a related discipline. Deepexpertisein integrated photonics and PIC-based device development. Advancedproficiencyin photonics simulation techniques, including FDTD, EME, FEM, BPM, or similar methods. Hands-on experience with commercial photonics design, simulation, and layout tools such asLumerical, Synopsys, or similar. Strong understanding of silicon photonics design, layout, fabrication, packaging, and test workflows. Experience with lasers, modulators, passive photonic devices, frequency combs, and high-speed optical measurement systems. Ability to quickly understand complex technical concepts and communicate them clearly to technical and non-technical audiences. Experience 5+ years' experiencepost PhDdeveloping PIC-based devices or integrated photonic systems in quantum, telecom, sensing, datacom, or related fields. Experience leading technical projects, teams, or work packages in a multidisciplinary environment. Experience working with foundries, packaging partners,componentsuppliers, or external collaborators. Track recordof developing complex technologies from concept through validation, prototype, or product transition. Experience supporting proposals, externally funded projects, or customer-facing technical programmes. Comfort working in a dynamic, collaborative, matrixed environment. Desirable Skills and Knowledge Experience with atomic physics applications. Experience with heterogeneous integration of III-V and silicon photonic devices. Knowledge of micro-combs, optical frequency combs, or laser frequency stabilisation. Experience with automated photonics test systems and data analysis. Familiarity with product development, commercialisation, and IP generation. EQUAL OPPORTUNITY We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. Benefits Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Cycle to workscheme Tax efficient technology schemesBUPA Private Healthcare Insurance once probationary period is successfully completed Unlimited PTO subject to fair usage
Aug 05, 2026
Full time
ABOUT US Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom, and Australia. This is a full-time position mainly in our Kidlington, Oxford office with the occasional requirement to be in the National Quantum Computing Centre, Harwell. Work from home permitted up to 2 days per week based on business needs and manager approval. POSITION SUMMARY ThePhotonics Technical Lead (PTL)plays a strategic role in shaping and advancingInfleqtion'sintegrated photonics capabilities, working closely with global technical and business leaders to transition innovative technologies into products and customer solutions. As the UK technical lead and primary point of contact for integrated photonics, this roleis responsible fordeveloping and executing the photonics roadmap across a portfolio of projects spanning photonic integrated circuits (PICs), laser systems, and integrated photonic subsystems for quantum technologies. The role will collaborate extensively with multidisciplinary teams acrossInfleqtion'sUK, US, and Australian operations to align technology development with company strategy, product roadmaps, and customer needs. Primary responsibilities include overseeing technical project execution, leading photonicsresearchand development activities, managing technical personnel, developing external partnerships, andidentifyingopportunities to transition photonics technologies into commercial products. The successful candidate will combine deep technicalexpertisewith strong leadership skills to helpestablishand growInfleqtion'sglobal photonics capabilities. Project and Technical Leadership Lead the UK integrated photonics capability and act as the primary technical point of contact for photonics activities. Oversee the technical performance of a portfolio of photonics projects, ensuring alignment with business, product, and customer objectives. Develop andmaintaintechnical roadmaps for PICs, laser systems, and integrated photonic subsystems. Collaborate with Quantum Systems teams toidentifyand develop integrated photonics opportunities. Set technicalobjectives, assess feasibility, manage technical risks, and support project delivery. Present technical updates, milestone reviews, design reviews, and recommendations to internal and external stakeholders. Identify technologies suitable for product development, commercialisation, and intellectual property protection. Integrated Photonics Development Lead the design, simulation, layout, fabrication, testing, and packaging of silicon photonics PICs. Design and develop photonic components including lasers, modulators, passive devices, and integrated subsystems. Work with foundry partners, III-V gain chip suppliers, and packaging companies to develop and integrate photonic devices. Lead laboratory testing and characterisation of PIC-based devices, including automated test methods. Characterise lasers and modulated laser systems, including DC measurements, frequency noise, relative intensity noise, and high-speed waveform analysis. Evaluate micro-combs and PIC-based approaches for miniature frequency combs and atom-addressing applications. Team, Stakeholder, and Partner Engagement Build, lead, and mentor technical contributors within the photonics team. Assign responsibilities and guide project-level technical contributors toward successful outcomes. Work closely with global technical teams across the UK, US, and Australia. Act as a technical interface with partners, suppliers, subcontractors, customers, and collaborators. Support proposal development, statements of work, technical planning, and externally funded programme activities. Promote strong HSE practices and safe working culture in laboratory environments. What You Will Bring to the Team Technical Knowledge PhD in Photonics, Optoelectronics, or a related discipline. Deepexpertisein integrated photonics and PIC-based device development. Advancedproficiencyin photonics simulation techniques, including FDTD, EME, FEM, BPM, or similar methods. Hands-on experience with commercial photonics design, simulation, and layout tools such asLumerical, Synopsys, or similar. Strong understanding of silicon photonics design, layout, fabrication, packaging, and test workflows. Experience with lasers, modulators, passive photonic devices, frequency combs, and high-speed optical measurement systems. Ability to quickly understand complex technical concepts and communicate them clearly to technical and non-technical audiences. Experience 5+ years' experiencepost PhDdeveloping PIC-based devices or integrated photonic systems in quantum, telecom, sensing, datacom, or related fields. Experience leading technical projects, teams, or work packages in a multidisciplinary environment. Experience working with foundries, packaging partners,componentsuppliers, or external collaborators. Track recordof developing complex technologies from concept through validation, prototype, or product transition. Experience supporting proposals, externally funded projects, or customer-facing technical programmes. Comfort working in a dynamic, collaborative, matrixed environment. Desirable Skills and Knowledge Experience with atomic physics applications. Experience with heterogeneous integration of III-V and silicon photonic devices. Knowledge of micro-combs, optical frequency combs, or laser frequency stabilisation. Experience with automated photonics test systems and data analysis. Familiarity with product development, commercialisation, and IP generation. EQUAL OPPORTUNITY We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. Benefits Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Cycle to workscheme Tax efficient technology schemesBUPA Private Healthcare Insurance once probationary period is successfully completed Unlimited PTO subject to fair usage
ABOUT US Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom, and Australia. This is a full-time position mainly in our Kidlington, Oxford office with the occasional requirement to be in the National Quantum Computing Centre, Harwell. Work from home permitted up to 2 days per week based on business needs and manager approval. POSITION SUMMARY ThePhotonics Technical Lead (PTL)plays a strategic role in shaping and advancingInfleqtion'sintegrated photonics capabilities, working closely with global technical and business leaders to transition innovative technologies into products and customer solutions. As the UK technical lead and primary point of contact for integrated photonics, this roleis responsible fordeveloping and executing the photonics roadmap across a portfolio of projects spanning photonic integrated circuits (PICs), laser systems, and integrated photonic subsystems for quantum technologies. The role will collaborate extensively with multidisciplinary teams acrossInfleqtion'sUK, US, and Australian operations to align technology development with company strategy, product roadmaps, and customer needs. Primary responsibilities include overseeing technical project execution, leading photonicsresearchand development activities, managing technical personnel, developing external partnerships, andidentifyingopportunities to transition photonics technologies into commercial products. The successful candidate will combine deep technicalexpertisewith strong leadership skills to helpestablishand growInfleqtion'sglobal photonics capabilities. Project and Technical Leadership Lead the UK integrated photonics capability and act as the primary technical point of contact for photonics activities. Oversee the technical performance of a portfolio of photonics projects, ensuring alignment with business, product, and customer objectives. Develop andmaintaintechnical roadmaps for PICs, laser systems, and integrated photonic subsystems. Collaborate with Quantum Systems teams toidentifyand develop integrated photonics opportunities. Set technicalobjectives, assess feasibility, manage technical risks, and support project delivery. Present technical updates, milestone reviews, design reviews, and recommendations to internal and external stakeholders. Identify technologies suitable for product development, commercialisation, and intellectual property protection. Integrated Photonics Development Lead the design, simulation, layout, fabrication, testing, and packaging of silicon photonics PICs. Design and develop photonic components including lasers, modulators, passive devices, and integrated subsystems. Work with foundry partners, III-V gain chip suppliers, and packaging companies to develop and integrate photonic devices. Lead laboratory testing and characterisation of PIC-based devices, including automated test methods. Characterise lasers and modulated laser systems, including DC measurements, frequency noise, relative intensity noise, and high-speed waveform analysis. Evaluate micro-combs and PIC-based approaches for miniature frequency combs and atom-addressing applications. Team, Stakeholder, and Partner Engagement Build, lead, and mentor technical contributors within the photonics team. Assign responsibilities and guide project-level technical contributors toward successful outcomes. Work closely with global technical teams across the UK, US, and Australia. Act as a technical interface with partners, suppliers, subcontractors, customers, and collaborators. Support proposal development, statements of work, technical planning, and externally funded programme activities. Promote strong HSE practices and safe working culture in laboratory environments. What You Will Bring to the Team Technical Knowledge PhD in Photonics, Optoelectronics, or a related discipline. Deepexpertisein integrated photonics and PIC-based device development. Advancedproficiencyin photonics simulation techniques, including FDTD, EME, FEM, BPM, or similar methods. Hands-on experience with commercial photonics design, simulation, and layout tools such asLumerical, Synopsys, or similar. Strong understanding of silicon photonics design, layout, fabrication, packaging, and test workflows. Experience with lasers, modulators, passive photonic devices, frequency combs, and high-speed optical measurement systems. Ability to quickly understand complex technical concepts and communicate them clearly to technical and non-technical audiences. Experience 5+ years' experiencepost PhDdeveloping PIC-based devices or integrated photonic systems in quantum, telecom, sensing, datacom, or related fields. Experience leading technical projects, teams, or work packages in a multidisciplinary environment. Experience working with foundries, packaging partners,componentsuppliers, or external collaborators. Track recordof developing complex technologies from concept through validation, prototype, or product transition. Experience supporting proposals, externally funded projects, or customer-facing technical programmes. Comfort working in a dynamic, collaborative, matrixed environment. Desirable Skills and Knowledge Experience with atomic physics applications. Experience with heterogeneous integration of III-V and silicon photonic devices. Knowledge of micro-combs, optical frequency combs, or laser frequency stabilisation. Experience with automated photonics test systems and data analysis. Familiarity with product development, commercialisation, and IP generation. EQUAL OPPORTUNITY We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. Benefits Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Cycle to workscheme Tax efficient technology schemesBUPA Private Healthcare Insurance once probationary period is successfully completed Unlimited PTO subject to fair usage
Aug 05, 2026
Full time
ABOUT US Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom, and Australia. This is a full-time position mainly in our Kidlington, Oxford office with the occasional requirement to be in the National Quantum Computing Centre, Harwell. Work from home permitted up to 2 days per week based on business needs and manager approval. POSITION SUMMARY ThePhotonics Technical Lead (PTL)plays a strategic role in shaping and advancingInfleqtion'sintegrated photonics capabilities, working closely with global technical and business leaders to transition innovative technologies into products and customer solutions. As the UK technical lead and primary point of contact for integrated photonics, this roleis responsible fordeveloping and executing the photonics roadmap across a portfolio of projects spanning photonic integrated circuits (PICs), laser systems, and integrated photonic subsystems for quantum technologies. The role will collaborate extensively with multidisciplinary teams acrossInfleqtion'sUK, US, and Australian operations to align technology development with company strategy, product roadmaps, and customer needs. Primary responsibilities include overseeing technical project execution, leading photonicsresearchand development activities, managing technical personnel, developing external partnerships, andidentifyingopportunities to transition photonics technologies into commercial products. The successful candidate will combine deep technicalexpertisewith strong leadership skills to helpestablishand growInfleqtion'sglobal photonics capabilities. Project and Technical Leadership Lead the UK integrated photonics capability and act as the primary technical point of contact for photonics activities. Oversee the technical performance of a portfolio of photonics projects, ensuring alignment with business, product, and customer objectives. Develop andmaintaintechnical roadmaps for PICs, laser systems, and integrated photonic subsystems. Collaborate with Quantum Systems teams toidentifyand develop integrated photonics opportunities. Set technicalobjectives, assess feasibility, manage technical risks, and support project delivery. Present technical updates, milestone reviews, design reviews, and recommendations to internal and external stakeholders. Identify technologies suitable for product development, commercialisation, and intellectual property protection. Integrated Photonics Development Lead the design, simulation, layout, fabrication, testing, and packaging of silicon photonics PICs. Design and develop photonic components including lasers, modulators, passive devices, and integrated subsystems. Work with foundry partners, III-V gain chip suppliers, and packaging companies to develop and integrate photonic devices. Lead laboratory testing and characterisation of PIC-based devices, including automated test methods. Characterise lasers and modulated laser systems, including DC measurements, frequency noise, relative intensity noise, and high-speed waveform analysis. Evaluate micro-combs and PIC-based approaches for miniature frequency combs and atom-addressing applications. Team, Stakeholder, and Partner Engagement Build, lead, and mentor technical contributors within the photonics team. Assign responsibilities and guide project-level technical contributors toward successful outcomes. Work closely with global technical teams across the UK, US, and Australia. Act as a technical interface with partners, suppliers, subcontractors, customers, and collaborators. Support proposal development, statements of work, technical planning, and externally funded programme activities. Promote strong HSE practices and safe working culture in laboratory environments. What You Will Bring to the Team Technical Knowledge PhD in Photonics, Optoelectronics, or a related discipline. Deepexpertisein integrated photonics and PIC-based device development. Advancedproficiencyin photonics simulation techniques, including FDTD, EME, FEM, BPM, or similar methods. Hands-on experience with commercial photonics design, simulation, and layout tools such asLumerical, Synopsys, or similar. Strong understanding of silicon photonics design, layout, fabrication, packaging, and test workflows. Experience with lasers, modulators, passive photonic devices, frequency combs, and high-speed optical measurement systems. Ability to quickly understand complex technical concepts and communicate them clearly to technical and non-technical audiences. Experience 5+ years' experiencepost PhDdeveloping PIC-based devices or integrated photonic systems in quantum, telecom, sensing, datacom, or related fields. Experience leading technical projects, teams, or work packages in a multidisciplinary environment. Experience working with foundries, packaging partners,componentsuppliers, or external collaborators. Track recordof developing complex technologies from concept through validation, prototype, or product transition. Experience supporting proposals, externally funded projects, or customer-facing technical programmes. Comfort working in a dynamic, collaborative, matrixed environment. Desirable Skills and Knowledge Experience with atomic physics applications. Experience with heterogeneous integration of III-V and silicon photonic devices. Knowledge of micro-combs, optical frequency combs, or laser frequency stabilisation. Experience with automated photonics test systems and data analysis. Familiarity with product development, commercialisation, and IP generation. EQUAL OPPORTUNITY We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. Benefits Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Cycle to workscheme Tax efficient technology schemesBUPA Private Healthcare Insurance once probationary period is successfully completed Unlimited PTO subject to fair usage
Data Science ManagerApplylocations: GBR-London-10 Paternoster Square: Edinburgh, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R# Data Science Manager Are you an experienced Data Science leader with a passion for building and scaling AI/ML products?Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping the future of AI, we'd love to talk to you. # ROLE SUMMARYAs a Data Science Manager , you will lead a high-performing team of Data Scientists delivering AI-powered products that create measurable business value at scale.This role combines technical leadership, people leadership, and strategic execution . You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems.The ideal candidate has a consistent track record of leading technical teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement. You will partner closely with Product, Engineering, Research, and business partners to shape strategy, accelerate execution, and deliver impactful AI solutions.# WHAT YOU'LL BE DOINGThis role combines technical leadership, organizational leadership, and strategic execution within a high-impact AI organization. Technical Leadership Lead the design, development, evaluation, and deployment of production-grade AI and Machine Learning solutions . Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures . Define the technical vision for AI products, ensuring solutions are scalable, secure, maintainable, and aligned with business objectives . Provide deep expertise in model development, experimentation, optimization, evaluation, and production deployment . Establish standard methodologies for LLM evaluation, model benchmarking, AI quality measurement, and performance assessment . Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value. Guide architectural decisions across AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities . Partner closely with Engineering teams to productionize AI solutions and drive operational excellence . Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners . Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture of innovation, collaboration, ownership, and continuous learning . Drive hiring, onboarding, succession planning, and team growth initiatives. Accelerate technical excellence through mentoring, technical reviews, and knowledge sharing. Strategic & Delivery Leadership Partner with Product, Engineering, and Business leaders to define AI strategy, roadmap, and priorities. Drive execution through effective planning, prioritization, resource management, and delivery oversight. Deliver high-quality AI solutions that create measurable business value. Champion engineering excellence through guidelines, coding standards, experimentation, and governance. Communicate technical strategy, risks, and recommendations clearly to technical and executive collaborators. Promote responsible AI, model governance, compliance, and operational risk management.# WHAT YOU'LL BRING ESSENTIAL SKILLS LEADERSHIP & MANAGEMENT Proven track record of building, leading, and developing high-performing teams of Data Scientists, ML Engineers, and AI practitioners. Demonstrated success delivering large-scale AI initiatives from ideation to production with measurable business impact. Strong coaching, mentoring, performance management, and talent development capabilities. Experience leading multiple concurrent programs , balancing priorities, resources, and customer expectations. Exceptional leadership, communication, and influencing skills with experience engaging senior leadership and executive collaborators . TECHNICAL EXPERTISE Extensive experience designing, building, and deploying production-grade AI and Machine Learning solutions at scale. Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures . Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment . Good foundation in statistics, probability, optimization, experimentation, and applied machine learning . Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems . Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users . Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection . Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures . Experience implementing MLOps and LLMOps practices , including CI/CD, model lifecycle management, governance, and production operations at scale. COLLABORATION & COMMUNICATION Ability to communicate complex technical concepts clearly to technical, business, and executive audiences . Strong interested party leadership skills with a proven track record to drive alignment across Product, Engineering, Research, and Business teams . Known to work influencing technical strategy, product direction, and organizational decision-making . DESIRABLE SKILLS Experience leading teams building AI products for financial services, capital markets, research, analytics, or other data-intensive domains . Experience developing multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants . Knowledge of reinforcement learning, fine-tuning, synthetic data generation, model compression, and advanced optimization techniques . Experience with Knowledge Graphs, vector databases, semantic search, retrieval systems, and Graph RAG architectures . Strong understanding of Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks . Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms . Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects . EDUCATIONBachelor's degree or equivalent experience in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning , or a related quantitative field. Master's or equivalent experience or PhD preferred. WHAT YOU'LL GET IN RETURN HIGH-IMPACT AI LEADERSHIPLead the development of next-generation AI products , demonstrating large-scale datasets, advanced AI models, and modern technologies to solve complex customer challenges. SIGNIFICANT OWNERSHIPShape AI strategy, influence product direction, and build capabilities that deliver dynamic outcomes for customers worldwide. INDUSTRY LEADERSHIPWork at the forefront of Generative AI, LLMs, Agentic AI, Analytics, and Intelligent Search , helping define the future of AI innovation in financial markets. CAREER GROWTHAccelerate your leadership and technical career through continuous learning, innovation, and exposure to large-scale AI initiatives.# WE ARE PROUD OF OUR VALUESWe recognize that attracting exceptional talent requires flexibility and inclusivity. We take a hybrid-first approach and are committed to creating an environment where different perspectives, continuous learning, and innovation can thrive. We encourage applications from individuals of all backgrounds and experiences and are committed to providing equal opportunities for all. Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs . click apply for full job details
Aug 05, 2026
Full time
Data Science ManagerApplylocations: GBR-London-10 Paternoster Square: Edinburgh, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R# Data Science Manager Are you an experienced Data Science leader with a passion for building and scaling AI/ML products?Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping the future of AI, we'd love to talk to you. # ROLE SUMMARYAs a Data Science Manager , you will lead a high-performing team of Data Scientists delivering AI-powered products that create measurable business value at scale.This role combines technical leadership, people leadership, and strategic execution . You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems.The ideal candidate has a consistent track record of leading technical teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement. You will partner closely with Product, Engineering, Research, and business partners to shape strategy, accelerate execution, and deliver impactful AI solutions.# WHAT YOU'LL BE DOINGThis role combines technical leadership, organizational leadership, and strategic execution within a high-impact AI organization. Technical Leadership Lead the design, development, evaluation, and deployment of production-grade AI and Machine Learning solutions . Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures . Define the technical vision for AI products, ensuring solutions are scalable, secure, maintainable, and aligned with business objectives . Provide deep expertise in model development, experimentation, optimization, evaluation, and production deployment . Establish standard methodologies for LLM evaluation, model benchmarking, AI quality measurement, and performance assessment . Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value. Guide architectural decisions across AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities . Partner closely with Engineering teams to productionize AI solutions and drive operational excellence . Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners . Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture of innovation, collaboration, ownership, and continuous learning . Drive hiring, onboarding, succession planning, and team growth initiatives. Accelerate technical excellence through mentoring, technical reviews, and knowledge sharing. Strategic & Delivery Leadership Partner with Product, Engineering, and Business leaders to define AI strategy, roadmap, and priorities. Drive execution through effective planning, prioritization, resource management, and delivery oversight. Deliver high-quality AI solutions that create measurable business value. Champion engineering excellence through guidelines, coding standards, experimentation, and governance. Communicate technical strategy, risks, and recommendations clearly to technical and executive collaborators. Promote responsible AI, model governance, compliance, and operational risk management.# WHAT YOU'LL BRING ESSENTIAL SKILLS LEADERSHIP & MANAGEMENT Proven track record of building, leading, and developing high-performing teams of Data Scientists, ML Engineers, and AI practitioners. Demonstrated success delivering large-scale AI initiatives from ideation to production with measurable business impact. Strong coaching, mentoring, performance management, and talent development capabilities. Experience leading multiple concurrent programs , balancing priorities, resources, and customer expectations. Exceptional leadership, communication, and influencing skills with experience engaging senior leadership and executive collaborators . TECHNICAL EXPERTISE Extensive experience designing, building, and deploying production-grade AI and Machine Learning solutions at scale. Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures . Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment . Good foundation in statistics, probability, optimization, experimentation, and applied machine learning . Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems . Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users . Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection . Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures . Experience implementing MLOps and LLMOps practices , including CI/CD, model lifecycle management, governance, and production operations at scale. COLLABORATION & COMMUNICATION Ability to communicate complex technical concepts clearly to technical, business, and executive audiences . Strong interested party leadership skills with a proven track record to drive alignment across Product, Engineering, Research, and Business teams . Known to work influencing technical strategy, product direction, and organizational decision-making . DESIRABLE SKILLS Experience leading teams building AI products for financial services, capital markets, research, analytics, or other data-intensive domains . Experience developing multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants . Knowledge of reinforcement learning, fine-tuning, synthetic data generation, model compression, and advanced optimization techniques . Experience with Knowledge Graphs, vector databases, semantic search, retrieval systems, and Graph RAG architectures . Strong understanding of Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks . Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms . Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects . EDUCATIONBachelor's degree or equivalent experience in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning , or a related quantitative field. Master's or equivalent experience or PhD preferred. WHAT YOU'LL GET IN RETURN HIGH-IMPACT AI LEADERSHIPLead the development of next-generation AI products , demonstrating large-scale datasets, advanced AI models, and modern technologies to solve complex customer challenges. SIGNIFICANT OWNERSHIPShape AI strategy, influence product direction, and build capabilities that deliver dynamic outcomes for customers worldwide. INDUSTRY LEADERSHIPWork at the forefront of Generative AI, LLMs, Agentic AI, Analytics, and Intelligent Search , helping define the future of AI innovation in financial markets. CAREER GROWTHAccelerate your leadership and technical career through continuous learning, innovation, and exposure to large-scale AI initiatives.# WE ARE PROUD OF OUR VALUESWe recognize that attracting exceptional talent requires flexibility and inclusivity. We take a hybrid-first approach and are committed to creating an environment where different perspectives, continuous learning, and innovation can thrive. We encourage applications from individuals of all backgrounds and experiences and are committed to providing equal opportunities for all. Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs . click apply for full job details
MLOps Platform Manager, Palantir Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science and engineering teams move models and data products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir Foundry, AIP and related MLOps capabilities . The role requires someone who can combine technical platform understanding with operational discipline, stakeholder management and a strong service-owner mindset. Key Responsibilities Platform Operations Own the day-to-day operation of Palantir Foundry, AIP and MLOps services Ensure strong platform availability, performance, stability and user experience Manage incidents, problems, changes, requests and escalation processes Manage platform releases, upgrades and vendor changes Maintain runbooks, support playbooks and platform documentation MLOps & Model Lifecycle Build and improve standard MLOps patterns across training, validation, deployment and monitoring Support data science and engineering teams in operationalising models end-to-end Improve CI/CD, environment management and automated testing for ML workloads Implement model monitoring across drift, performance, data quality and latency Support model lifecycle governance, including versioning, approvals, traceability and reproducibility Security, Risk & Compliance Manage platform access, authentication, authorisation and segregation of duties Work with InfoSec, compliance and governance teams to evidence controls for data and AI services Support audits across platform operations, change history, access reviews and model lifecycle controls Maintain platform controls across logging, retention, encryption and privacy Roadmap, Cost & Vendor Management Own the platform roadmap and improvement backlog Prioritise improvements based on business value, risk, cost and developer experience Manage capacity, usage monitoring and cost optimisation Manage relationships with Palantir, delivery partners and other platform suppliers Define standards, reference architectures and reusable patterns for data products and ML workloads Requirements Strong experience managing data platforms, analytics platforms or MLOps capabilities in an enterprise environment Hands-on experience operating Palantir Foundry, AIP or a comparable modern data platform Strong understanding of production MLOps, including CI/CD, model deployment, monitoring and lifecycle governance Experience supporting production data products or ML models at scale Strong service management experience across incident, change, problem and request processes Experience working with security, risk, governance or compliance teams Strong stakeholder management across data engineering, data science, InfoSec and architecture teams Experience managing suppliers, vendors or delivery partners Nice to Have Cloud experience across Azure, AWS or GCP ITIL or formal service management experience Experience in regulated environments Cloud cost optimisation experience Model risk, responsible AI or AI governance experience Key Skills Palantir, Foundry, AIP, MLOps, Platform Management, Data Platform, Model Deployment, CI/CD, Model Monitoring, Data Governance, Access Controls, Service Management, Incident Management, Change Management, Release Management, Vendor Management, Responsible AI, Cloud, DevOps To apply, please email:
Jun 01, 2026
Contractor
MLOps Platform Manager, Palantir Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science and engineering teams move models and data products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir Foundry, AIP and related MLOps capabilities . The role requires someone who can combine technical platform understanding with operational discipline, stakeholder management and a strong service-owner mindset. Key Responsibilities Platform Operations Own the day-to-day operation of Palantir Foundry, AIP and MLOps services Ensure strong platform availability, performance, stability and user experience Manage incidents, problems, changes, requests and escalation processes Manage platform releases, upgrades and vendor changes Maintain runbooks, support playbooks and platform documentation MLOps & Model Lifecycle Build and improve standard MLOps patterns across training, validation, deployment and monitoring Support data science and engineering teams in operationalising models end-to-end Improve CI/CD, environment management and automated testing for ML workloads Implement model monitoring across drift, performance, data quality and latency Support model lifecycle governance, including versioning, approvals, traceability and reproducibility Security, Risk & Compliance Manage platform access, authentication, authorisation and segregation of duties Work with InfoSec, compliance and governance teams to evidence controls for data and AI services Support audits across platform operations, change history, access reviews and model lifecycle controls Maintain platform controls across logging, retention, encryption and privacy Roadmap, Cost & Vendor Management Own the platform roadmap and improvement backlog Prioritise improvements based on business value, risk, cost and developer experience Manage capacity, usage monitoring and cost optimisation Manage relationships with Palantir, delivery partners and other platform suppliers Define standards, reference architectures and reusable patterns for data products and ML workloads Requirements Strong experience managing data platforms, analytics platforms or MLOps capabilities in an enterprise environment Hands-on experience operating Palantir Foundry, AIP or a comparable modern data platform Strong understanding of production MLOps, including CI/CD, model deployment, monitoring and lifecycle governance Experience supporting production data products or ML models at scale Strong service management experience across incident, change, problem and request processes Experience working with security, risk, governance or compliance teams Strong stakeholder management across data engineering, data science, InfoSec and architecture teams Experience managing suppliers, vendors or delivery partners Nice to Have Cloud experience across Azure, AWS or GCP ITIL or formal service management experience Experience in regulated environments Cloud cost optimisation experience Model risk, responsible AI or AI governance experience Key Skills Palantir, Foundry, AIP, MLOps, Platform Management, Data Platform, Model Deployment, CI/CD, Model Monitoring, Data Governance, Access Controls, Service Management, Incident Management, Change Management, Release Management, Vendor Management, Responsible AI, Cloud, DevOps To apply, please email:
Data Analyst Contract up to 31/12/2026 Based in Filton Offering £50ph Inside IR35 Do you have experience with Jira or GitHub? Do you have experience with Palantir Foundry (Skywise) or Extended Platform (Jupyter)? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Data Analyst, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. You will be involved in: Contribute to the development of the fleet diagnostic and predictive maintenance models Support technical investigations with aircraft fleet data analysis Perform specific data analyses for the Design Office, starting from gathering the need from the requestor, to assessing the feasibility, and delivering the study Use in-service data in order to: Improve in-service operations understanding Improve system design Support business on Data Management projects with analytics skill application Your skillset may include: Jira Palantir Foundry (Skywise) Extended platform (Jupyter) Github Data Analytics & Data visualisation Good stakeholder management Skywise Predictive Maintenance (SPM) LG System understanding Understanding of Manage Fleet Diagnostic and Predictive Maintenance process (SU.CP.05) Previous experience in Predictive Maintenance and ZAOG plateau AI Machine Learning If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Data Analyst Contract up to 31/12/2026 Based in Filton Offering £50ph Inside IR35 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
May 22, 2026
Contractor
Data Analyst Contract up to 31/12/2026 Based in Filton Offering £50ph Inside IR35 Do you have experience with Jira or GitHub? Do you have experience with Palantir Foundry (Skywise) or Extended Platform (Jupyter)? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Data Analyst, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. You will be involved in: Contribute to the development of the fleet diagnostic and predictive maintenance models Support technical investigations with aircraft fleet data analysis Perform specific data analyses for the Design Office, starting from gathering the need from the requestor, to assessing the feasibility, and delivering the study Use in-service data in order to: Improve in-service operations understanding Improve system design Support business on Data Management projects with analytics skill application Your skillset may include: Jira Palantir Foundry (Skywise) Extended platform (Jupyter) Github Data Analytics & Data visualisation Good stakeholder management Skywise Predictive Maintenance (SPM) LG System understanding Understanding of Manage Fleet Diagnostic and Predictive Maintenance process (SU.CP.05) Previous experience in Predictive Maintenance and ZAOG plateau AI Machine Learning If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Data Analyst Contract up to 31/12/2026 Based in Filton Offering £50ph Inside IR35 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
MLOps Platform Manager, Palantir Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science and engineering teams move models and data products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir Foundry, AIP and related MLOps capabilities . The role requires someone who can combine technical platform understanding with operational discipline, stakeholder management and a strong service-owner mindset. Key Responsibilities Platform Operations Own the day-to-day operation of Palantir Foundry, AIP and MLOps services Ensure strong platform availability, performance, stability and user experience Manage incidents, problems, changes, requests and escalation processes Manage platform releases, upgrades and vendor changes Maintain runbooks, support playbooks and platform documentation MLOps & Model Lifecycle Build and improve standard MLOps patterns across training, validation, deployment and monitoring Support data science and engineering teams in operationalising models end-to-end Improve CI/CD, environment management and automated testing for ML workloads Implement model monitoring across drift, performance, data quality and latency Support model lifecycle governance, including versioning, approvals, traceability and reproducibility Security, Risk & Compliance Manage platform access, authentication, authorisation and segregation of duties Work with InfoSec, compliance and governance teams to evidence controls for data and AI services Support audits across platform operations, change history, access reviews and model lifecycle controls Maintain platform controls across logging, retention, encryption and privacy Roadmap, Cost & Vendor Management Own the platform roadmap and improvement backlog Prioritise improvements based on business value, risk, cost and developer experience Manage capacity, usage monitoring and cost optimisation Manage relationships with Palantir, delivery partners and other platform suppliers Define standards, reference architectures and reusable patterns for data products and ML workloads Requirements Strong experience managing data platforms, analytics platforms or MLOps capabilities in an enterprise environment Hands-on experience operating Palantir Foundry, AIP or a comparable modern data platform Strong understanding of production MLOps, including CI/CD, model deployment, monitoring and lifecycle governance Experience supporting production data products or ML models at scale Strong service management experience across incident, change, problem and request processes Experience working with security, risk, governance or compliance teams Strong stakeholder management across data engineering, data science, InfoSec and architecture teams Experience managing suppliers, vendors or delivery partners Nice to Have Cloud experience across Azure, AWS or GCP ITIL or formal service management experience Experience in regulated environments Cloud cost optimisation experience Model risk, responsible AI or AI governance experience Key Skills Palantir, Foundry, AIP, MLOps, Platform Management, Data Platform, Model Deployment, CI/CD, Model Monitoring, Data Governance, Access Controls, Service Management, Incident Management, Change Management, Release Management, Vendor Management, Responsible AI, Cloud, DevOps To apply, please email:
May 18, 2026
Contractor
MLOps Platform Manager, Palantir Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science and engineering teams move models and data products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir Foundry, AIP and related MLOps capabilities . The role requires someone who can combine technical platform understanding with operational discipline, stakeholder management and a strong service-owner mindset. Key Responsibilities Platform Operations Own the day-to-day operation of Palantir Foundry, AIP and MLOps services Ensure strong platform availability, performance, stability and user experience Manage incidents, problems, changes, requests and escalation processes Manage platform releases, upgrades and vendor changes Maintain runbooks, support playbooks and platform documentation MLOps & Model Lifecycle Build and improve standard MLOps patterns across training, validation, deployment and monitoring Support data science and engineering teams in operationalising models end-to-end Improve CI/CD, environment management and automated testing for ML workloads Implement model monitoring across drift, performance, data quality and latency Support model lifecycle governance, including versioning, approvals, traceability and reproducibility Security, Risk & Compliance Manage platform access, authentication, authorisation and segregation of duties Work with InfoSec, compliance and governance teams to evidence controls for data and AI services Support audits across platform operations, change history, access reviews and model lifecycle controls Maintain platform controls across logging, retention, encryption and privacy Roadmap, Cost & Vendor Management Own the platform roadmap and improvement backlog Prioritise improvements based on business value, risk, cost and developer experience Manage capacity, usage monitoring and cost optimisation Manage relationships with Palantir, delivery partners and other platform suppliers Define standards, reference architectures and reusable patterns for data products and ML workloads Requirements Strong experience managing data platforms, analytics platforms or MLOps capabilities in an enterprise environment Hands-on experience operating Palantir Foundry, AIP or a comparable modern data platform Strong understanding of production MLOps, including CI/CD, model deployment, monitoring and lifecycle governance Experience supporting production data products or ML models at scale Strong service management experience across incident, change, problem and request processes Experience working with security, risk, governance or compliance teams Strong stakeholder management across data engineering, data science, InfoSec and architecture teams Experience managing suppliers, vendors or delivery partners Nice to Have Cloud experience across Azure, AWS or GCP ITIL or formal service management experience Experience in regulated environments Cloud cost optimisation experience Model risk, responsible AI or AI governance experience Key Skills Palantir, Foundry, AIP, MLOps, Platform Management, Data Platform, Model Deployment, CI/CD, Model Monitoring, Data Governance, Access Controls, Service Management, Incident Management, Change Management, Release Management, Vendor Management, Responsible AI, Cloud, DevOps To apply, please email:
