Join Barclays as a Prime Risk Senior Developer, where you will be part of the Liquid Financing Technology team. The team is currently investing in building a modern, cutting-edge Client Risk Management platform-a unified, cross-asset risk management solution that delivers real-time analytics, workflows, and reporting for front-office users. This platform will enable intraday exposure monitoring, margin and limits forecasting, and advanced stress-testing capabilities. To be successful, you should have: Bachelor's or master's degree from an accredited college or university in Financial Engineering, Math, Computer Science, or related field. 5+ years of software development experience in a front office environment with hands on across all phases of development Lifecyle. Proven experience with AWS services such as S3, EC2, EKS/ECS, Lambda, Glue, Athena, Step Functions, DynamoDB, and RDS. Proven experience with Python and Spark for distributed and real time data processing. Strong quantitative reasoning and software design skills. Deep understanding of SDLC practices. Some other highly valued skills may include: Background in Quantitative Finance with exposure to Risk & PnL Modelling, preferably in Prime Brokerage, Securities Lending, Cash & Synthetic Financing. Working knowledge on building and integrating AI/ML models into production systems is a plus. Exposure to other OO languages (Java/C#) is a plus. You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in London. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Mar 02, 2026
Full time
Join Barclays as a Prime Risk Senior Developer, where you will be part of the Liquid Financing Technology team. The team is currently investing in building a modern, cutting-edge Client Risk Management platform-a unified, cross-asset risk management solution that delivers real-time analytics, workflows, and reporting for front-office users. This platform will enable intraday exposure monitoring, margin and limits forecasting, and advanced stress-testing capabilities. To be successful, you should have: Bachelor's or master's degree from an accredited college or university in Financial Engineering, Math, Computer Science, or related field. 5+ years of software development experience in a front office environment with hands on across all phases of development Lifecyle. Proven experience with AWS services such as S3, EC2, EKS/ECS, Lambda, Glue, Athena, Step Functions, DynamoDB, and RDS. Proven experience with Python and Spark for distributed and real time data processing. Strong quantitative reasoning and software design skills. Deep understanding of SDLC practices. Some other highly valued skills may include: Background in Quantitative Finance with exposure to Risk & PnL Modelling, preferably in Prime Brokerage, Securities Lending, Cash & Synthetic Financing. Working knowledge on building and integrating AI/ML models into production systems is a plus. Exposure to other OO languages (Java/C#) is a plus. You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in London. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Mar 02, 2026
Full time
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Performance Information Technical Lead - Power BI / Microsoft Fabric Client: EDF Location: Bristol (Hybrid - on-site days TBC) Contract: Until 31/12/2026 Rate: £500-£579 per day (Inside IR35) Security Clearance: BPSS required Overview EDF is seeking a Performance Information Technical Lead to own the governance, architecture, and operational model of its Power BI and Microsoft Fabric estate within the HPC programme. This is a senior technical leadership role responsible for transitioning a growing, business-led reporting environment into a secure, enterprise-governed analytics platform aligned to Information Design Authority (IDA), security, and regulatory standards. You will act as the technical authority for the tenant, defining governance frameworks, lifecycle processes, and platform standards while optimising licensing, capacity, and operational resilience. Key Responsibilities Governance Framework Design and implement the enterprise Power BI governance model, including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear, accessible governance documentation for business stakeholders Platform Administration & Technical Oversight Act as technical authority for the Power BI / Fabric tenant Define and oversee: Workspace provisioning and ownership model Capacity management and optimisation Monitoring, audit logging, and usage analytics Gateway architecture and connectivity controls Service principals and credential management Standardise use of enterprise tooling (e.g. DAX Studio, Tabular Editor, ALM Toolkit) Rationalise and optimise the existing estate to improve resilience, performance, and cost efficiency Operating Model & Lifecycle Management Define RACI across business owners, data owners, developers, Enterprise IT, and Information Management Establish lifecycle processes for onboarding, change control, certification, and decommissioning Define support tiers and service boundaries for analytics artefacts Commercial & Licensing Optimisation Review and optimise Pro, PPU, and Fabric capacity licensing models Align platform capacity with organisational demand Deliver transparent reporting on usage and cost drivers Support financially sustainable scaling of analytics capability Stakeholder Engagement Partner with Enterprise IT on platform configuration and access controls Engage business stakeholders to embed governance standards and clarify responsibilities Present recommendations to architecture and IDA governance forums Act as a trusted advisor on enterprise analytics platform strategy Essential Technical Experience Extensive tenant-level administration of Power BI Strong working knowledge of Microsoft Fabric architecture Experience managing Premium and/or Fabric capacities Advanced DAX and enterprise semantic modelling (star schema) Performance tuning and optimisation of semantic models Advanced Power Query diagnostics and optimisation SQL optimisation for analytics workloads Working knowledge of Python in analytics contexts (e.g. Fabric notebooks, Databricks) Strong understanding of: Entra ID / Azure AD security groups RBAC models Deployment pipelines Power BI REST APIs and automation Data gateway architecture Audit logging and monitoring Proven experience designing enterprise analytics governance frameworks Governance & Platform Maturity Experience implementing or maturing analytics governance in a federated environment Experience operating within structured architecture governance (e.g. IDA) Track record of improving ownership, accountability, and lifecycle management for data platforms Commercial & Strategic Experience optimising licensing and capacity models Ability to align technical controls with commercial efficiency Experience producing platform roadmaps or business cases Qualifications Essential: Microsoft Certified: Fabric Analytics Engineer Associate (or equivalent advanced Power BI certification) Degree (or equivalent experience) in Data, Engineering, Computer Science, or similar Desirable: PL-300 (Power BI Data Analyst) Azure Administrator and/or Security certifications Experience in regulated or safety-critical environments Experience delivering enterprise-scale analytics transformation Personal Profile Self-starter with strong personal accountability Structured, methodical, and pragmatic Comfortable operating in complex, federated organisations Strong communicator able to produce policy and technical guidance Confident influencing senior stakeholders and technical teams JBRP1_UKTJ
Mar 02, 2026
Full time
Performance Information Technical Lead - Power BI / Microsoft Fabric Client: EDF Location: Bristol (Hybrid - on-site days TBC) Contract: Until 31/12/2026 Rate: £500-£579 per day (Inside IR35) Security Clearance: BPSS required Overview EDF is seeking a Performance Information Technical Lead to own the governance, architecture, and operational model of its Power BI and Microsoft Fabric estate within the HPC programme. This is a senior technical leadership role responsible for transitioning a growing, business-led reporting environment into a secure, enterprise-governed analytics platform aligned to Information Design Authority (IDA), security, and regulatory standards. You will act as the technical authority for the tenant, defining governance frameworks, lifecycle processes, and platform standards while optimising licensing, capacity, and operational resilience. Key Responsibilities Governance Framework Design and implement the enterprise Power BI governance model, including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear, accessible governance documentation for business stakeholders Platform Administration & Technical Oversight Act as technical authority for the Power BI / Fabric tenant Define and oversee: Workspace provisioning and ownership model Capacity management and optimisation Monitoring, audit logging, and usage analytics Gateway architecture and connectivity controls Service principals and credential management Standardise use of enterprise tooling (e.g. DAX Studio, Tabular Editor, ALM Toolkit) Rationalise and optimise the existing estate to improve resilience, performance, and cost efficiency Operating Model & Lifecycle Management Define RACI across business owners, data owners, developers, Enterprise IT, and Information Management Establish lifecycle processes for onboarding, change control, certification, and decommissioning Define support tiers and service boundaries for analytics artefacts Commercial & Licensing Optimisation Review and optimise Pro, PPU, and Fabric capacity licensing models Align platform capacity with organisational demand Deliver transparent reporting on usage and cost drivers Support financially sustainable scaling of analytics capability Stakeholder Engagement Partner with Enterprise IT on platform configuration and access controls Engage business stakeholders to embed governance standards and clarify responsibilities Present recommendations to architecture and IDA governance forums Act as a trusted advisor on enterprise analytics platform strategy Essential Technical Experience Extensive tenant-level administration of Power BI Strong working knowledge of Microsoft Fabric architecture Experience managing Premium and/or Fabric capacities Advanced DAX and enterprise semantic modelling (star schema) Performance tuning and optimisation of semantic models Advanced Power Query diagnostics and optimisation SQL optimisation for analytics workloads Working knowledge of Python in analytics contexts (e.g. Fabric notebooks, Databricks) Strong understanding of: Entra ID / Azure AD security groups RBAC models Deployment pipelines Power BI REST APIs and automation Data gateway architecture Audit logging and monitoring Proven experience designing enterprise analytics governance frameworks Governance & Platform Maturity Experience implementing or maturing analytics governance in a federated environment Experience operating within structured architecture governance (e.g. IDA) Track record of improving ownership, accountability, and lifecycle management for data platforms Commercial & Strategic Experience optimising licensing and capacity models Ability to align technical controls with commercial efficiency Experience producing platform roadmaps or business cases Qualifications Essential: Microsoft Certified: Fabric Analytics Engineer Associate (or equivalent advanced Power BI certification) Degree (or equivalent experience) in Data, Engineering, Computer Science, or similar Desirable: PL-300 (Power BI Data Analyst) Azure Administrator and/or Security certifications Experience in regulated or safety-critical environments Experience delivering enterprise-scale analytics transformation Personal Profile Self-starter with strong personal accountability Structured, methodical, and pragmatic Comfortable operating in complex, federated organisations Strong communicator able to produce policy and technical guidance Confident influencing senior stakeholders and technical teams JBRP1_UKTJ
Job title: Python Data/Machine Learning Engineer (Fluent in Dutch) Job type: Perm Salary: 70-80k + Bonuses Role Location: Amsterdam Role and responsibilities: You have an insatiable interest in, a passion for, and over five years of experience with the magical and fastest-growing Python language. If you work in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst, and have an affinity for designing and building Data Pipelines and Machine Learning solutions, then we're looking for you. Job requirements: Python Python libraries and frameworks such as Pandas, scikit-learn, PySpark, Keras, TensorFlow and Airflow and tools such as Kafka and Docker. Experience in designing and building Data Pipelines. Experience with Machine Learning models in production environments. Experience with Machine Learning models such as Decision Trees / Random Forests, Deep Learning, simulations and optimization algorithms. Experience with Software Testing. Knowledge of methods such as Agile, Scrum and DevOps: CI/CD pipelines. Knowledge of containerization (Docker/Kubernetes). Knowledge of Relational and NoSQL databases. Knowledge of Cloud infrastructure (choice of Azure, AWS, Google, etc.). Fluent in Dutch Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here Company: Signify Technology Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom
Mar 02, 2026
Full time
Job title: Python Data/Machine Learning Engineer (Fluent in Dutch) Job type: Perm Salary: 70-80k + Bonuses Role Location: Amsterdam Role and responsibilities: You have an insatiable interest in, a passion for, and over five years of experience with the magical and fastest-growing Python language. If you work in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst, and have an affinity for designing and building Data Pipelines and Machine Learning solutions, then we're looking for you. Job requirements: Python Python libraries and frameworks such as Pandas, scikit-learn, PySpark, Keras, TensorFlow and Airflow and tools such as Kafka and Docker. Experience in designing and building Data Pipelines. Experience with Machine Learning models in production environments. Experience with Machine Learning models such as Decision Trees / Random Forests, Deep Learning, simulations and optimization algorithms. Experience with Software Testing. Knowledge of methods such as Agile, Scrum and DevOps: CI/CD pipelines. Knowledge of containerization (Docker/Kubernetes). Knowledge of Relational and NoSQL databases. Knowledge of Cloud infrastructure (choice of Azure, AWS, Google, etc.). Fluent in Dutch Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here Company: Signify Technology Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week. Qualifications and Skills Degree or PhD in physics, mathematics, or a related discipline, supported by relevant experience. Candidates with engineering backgrounds are welcome where research has been a key focus. Excellent communication skills, including delivering presentations. Excellent written skills, particularly in preparing bids and technical reports. Strong team-working abilities. Knowledge and Experience Must be able to obtain a DV Clearance. (These can be developed in the role if not already held.) Applicants should demonstrate a successful track record in developing technical solutions and planning, coordinating, and delivering research programmes. The ideal candidate will have experience in at least one of the following domains and be capable of leading research projects that span multiple areas: Signal processing, image analysis, automated detection processing Statistical modelling, data science, machine learning, AI, data visualisation Modelling signatures of naval platforms Naval platform design Numerical simulation of complex phenomena and computational fluid dynamics Remote sensing and numerical simulation of ocean processes Laboratory experimentation Technical leadership of projects, including leading small research teams and ensuring delivery to time, cost, and quality Use of scientific computational software such as MATLAB or Python Purpose of the Role To support bidding activities, develop technical strategies and solutions, and lead the technical delivery of assigned projects to time, cost, and quality. The role also includes identifying opportunities for capability development and exploiting research into products. Challenges of the Role Collaborating with specialists across a wide range of disciplines Working with stakeholders across the business to support the development and delivery of customer solutions Communicating technical findings and concepts to expert and non-expert stakeholders within TKMS ATLAS UK and the customer community Synthesising technical analysis outputs to provide clear, coherent advice for stakeholders and key decision-makers Providing technical leadership on multidisciplinary research projects Supporting the professional development of junior team members Effective time management This is an onsite role based in Dorset. If you are interested in this opportunity, please submit your CV to . JBRP1_UKTJ
Mar 02, 2026
Full time
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week. Qualifications and Skills Degree or PhD in physics, mathematics, or a related discipline, supported by relevant experience. Candidates with engineering backgrounds are welcome where research has been a key focus. Excellent communication skills, including delivering presentations. Excellent written skills, particularly in preparing bids and technical reports. Strong team-working abilities. Knowledge and Experience Must be able to obtain a DV Clearance. (These can be developed in the role if not already held.) Applicants should demonstrate a successful track record in developing technical solutions and planning, coordinating, and delivering research programmes. The ideal candidate will have experience in at least one of the following domains and be capable of leading research projects that span multiple areas: Signal processing, image analysis, automated detection processing Statistical modelling, data science, machine learning, AI, data visualisation Modelling signatures of naval platforms Naval platform design Numerical simulation of complex phenomena and computational fluid dynamics Remote sensing and numerical simulation of ocean processes Laboratory experimentation Technical leadership of projects, including leading small research teams and ensuring delivery to time, cost, and quality Use of scientific computational software such as MATLAB or Python Purpose of the Role To support bidding activities, develop technical strategies and solutions, and lead the technical delivery of assigned projects to time, cost, and quality. The role also includes identifying opportunities for capability development and exploiting research into products. Challenges of the Role Collaborating with specialists across a wide range of disciplines Working with stakeholders across the business to support the development and delivery of customer solutions Communicating technical findings and concepts to expert and non-expert stakeholders within TKMS ATLAS UK and the customer community Synthesising technical analysis outputs to provide clear, coherent advice for stakeholders and key decision-makers Providing technical leadership on multidisciplinary research projects Supporting the professional development of junior team members Effective time management This is an onsite role based in Dorset. If you are interested in this opportunity, please submit your CV to . JBRP1_UKTJ
Who are we looking for? We are seeking a highly skilled and experienced Senior FICC Automation & Electronic Trading Systems Engineer to join our dynamic team. This pivotal role involves designing, developing, and optimizing a strategic, high-performance platform for real time pricing, quoting, and lifecycle automation across various FICC derivatives products, while also ensuring robust, low latency, and scalable electronic trading solutions. The ideal candidate will have a strong background in building large scale distributed systems, expertise in electronic trading concepts, hands on experience with FIX protocols, and a keen interest in leveraging AI tooling to enhance development workflows. Responsibilities: Design, develop, and optimize a strategic, high-performance platform for real time pricing, quoting, and lifecycle automation in various FICC derivatives products, driving real time decision making and facilitating trade booking. Develop and maintain high-performance, low-latency electronic trading systems and infrastructure, ensuring robust and scalable solutions. Work extensively with Financial Information eXchange (FIX) protocol for order routing, market data, and post-trade communication with exchanges, brokers, and other counterparties. Explore, evaluate, and incorporate AI tooling and machine learning techniques into development workflows to improve efficiency, automation, and system capabilities. Collaborate closely with quantitative researchers, traders, and sales to translate complex trading strategies and business requirements into robust, production-ready code. Perform system analysis, performance tuning, and troubleshooting to ensure optimal system reliability, accuracy, and efficiency. Develop and maintain tools for monitoring, alerting, and reporting on trading system performance and market activity. Participate in code reviews, architectural discussions, and contribute to the overall technical direction of the trading platform. Proactively engage with stakeholders throughout the software development lifecycle (SDLC) and contribute to automated testing, DevOps, and Continuous Deployment practices. Ensure compliance with regulatory requirements and internal risk management policies. Qualifications: Bachelor's or Master's degree in computer science, Electrical Engineering, Quantitative Finance, or a related technical discipline. 5+ years of professional experience in software development, with a significant focus on electronic trading systems, large-scale distributed platforms, and automation solutions. Proven expertise in electronic trading concepts, including market microstructure, order types (e.g., limit, market, iceberg), execution algorithms (e.g., VWAP, TWAP, POV), and low-latency system design. In-depth knowledge and hands on experience with FIX protocol versions (e.g., FIX 4.2, 4.4, 5.0 SP2), including message parsing, session management, and custom tag implementation. Strong programming skills in Java (commercial experience required), with additional proficiency in C++ or Python for performance-critical applications. Experience with real-time data processing, distributed systems, and multi-threaded programming. Solid understanding of FICC derivatives products, financial markets, and trading workflows, particularly in pricing, quoting, and lifecycle automation. Familiarity with automated testing, DevOps, and Continuous Deployment practices. Demonstrated interest in using and incorporating AI tooling and machine learning into development workflows. Preferred Qualifications: Experience in NoSQL data stores, e.g., Cassandra, MongoDB, or Elastic. Experience in modern message-oriented middleware, e.g., Kafka or RabbitMQ. Experience in debugging complex distributed systems. Experience with cloud platforms (AWS, Azure, GCP) for trading infrastructure. Knowledge of network protocols and low-latency networking techniques. Familiarity with kdb+/Q or other time-series databases. Experience working directly with trading and sales users and converting their requirements into actionable solutions.
Mar 02, 2026
Full time
Who are we looking for? We are seeking a highly skilled and experienced Senior FICC Automation & Electronic Trading Systems Engineer to join our dynamic team. This pivotal role involves designing, developing, and optimizing a strategic, high-performance platform for real time pricing, quoting, and lifecycle automation across various FICC derivatives products, while also ensuring robust, low latency, and scalable electronic trading solutions. The ideal candidate will have a strong background in building large scale distributed systems, expertise in electronic trading concepts, hands on experience with FIX protocols, and a keen interest in leveraging AI tooling to enhance development workflows. Responsibilities: Design, develop, and optimize a strategic, high-performance platform for real time pricing, quoting, and lifecycle automation in various FICC derivatives products, driving real time decision making and facilitating trade booking. Develop and maintain high-performance, low-latency electronic trading systems and infrastructure, ensuring robust and scalable solutions. Work extensively with Financial Information eXchange (FIX) protocol for order routing, market data, and post-trade communication with exchanges, brokers, and other counterparties. Explore, evaluate, and incorporate AI tooling and machine learning techniques into development workflows to improve efficiency, automation, and system capabilities. Collaborate closely with quantitative researchers, traders, and sales to translate complex trading strategies and business requirements into robust, production-ready code. Perform system analysis, performance tuning, and troubleshooting to ensure optimal system reliability, accuracy, and efficiency. Develop and maintain tools for monitoring, alerting, and reporting on trading system performance and market activity. Participate in code reviews, architectural discussions, and contribute to the overall technical direction of the trading platform. Proactively engage with stakeholders throughout the software development lifecycle (SDLC) and contribute to automated testing, DevOps, and Continuous Deployment practices. Ensure compliance with regulatory requirements and internal risk management policies. Qualifications: Bachelor's or Master's degree in computer science, Electrical Engineering, Quantitative Finance, or a related technical discipline. 5+ years of professional experience in software development, with a significant focus on electronic trading systems, large-scale distributed platforms, and automation solutions. Proven expertise in electronic trading concepts, including market microstructure, order types (e.g., limit, market, iceberg), execution algorithms (e.g., VWAP, TWAP, POV), and low-latency system design. In-depth knowledge and hands on experience with FIX protocol versions (e.g., FIX 4.2, 4.4, 5.0 SP2), including message parsing, session management, and custom tag implementation. Strong programming skills in Java (commercial experience required), with additional proficiency in C++ or Python for performance-critical applications. Experience with real-time data processing, distributed systems, and multi-threaded programming. Solid understanding of FICC derivatives products, financial markets, and trading workflows, particularly in pricing, quoting, and lifecycle automation. Familiarity with automated testing, DevOps, and Continuous Deployment practices. Demonstrated interest in using and incorporating AI tooling and machine learning into development workflows. Preferred Qualifications: Experience in NoSQL data stores, e.g., Cassandra, MongoDB, or Elastic. Experience in modern message-oriented middleware, e.g., Kafka or RabbitMQ. Experience in debugging complex distributed systems. Experience with cloud platforms (AWS, Azure, GCP) for trading infrastructure. Knowledge of network protocols and low-latency networking techniques. Familiarity with kdb+/Q or other time-series databases. Experience working directly with trading and sales users and converting their requirements into actionable solutions.
Introduction At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data-driven decisions in a rapidly evolving risk landscape. Here, youll be part of a team that leverages world-class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence. Together, we transform advanced insights and market intelligence into strategies that protect businesses, drive performance, and shape the future of reinsurance.Were a community of decision makers, future shapers, and trusted experts working side by side to deliver meaningful impact through innovative thinking and practical solutions. At Gallagher Re, your curiosity is welcomed, your growth is championed, and your work truly matters.This is a place where you'll have the freedom to explore new ideas, take ownership of your career, and collaborate with people who are as driven and inquisitive as you are. Overview Joining our Cyber Catastrophe Modelling team as a graduate is an excellent opportunity to kick-start your career in a dynamic and rapidly evolving field. You will gain valuable experience working with industry experts, developing your technical and analytical skills, and contributing to innovative solutions that help our clients manage cyber risks effectively How you'll make an impact As a Graduate Cyber Catastrophe Analyst, you will be introduced to the fundamentals of cyber risk and catastrophe modelling, gaining hands-on experience in delivering modelling outputs and supporting the team in providing tailored solutions and value-add insights to clients. This role is designed to help you develop your technical skills, industry knowledge, and build you confidence in client facing situations, including: Approaching and solving complex, non-standard analytical problems to deliver tailored insights and solutions for our clients Learn and apply best practices for using cyber catastrophe models, ensuring accuracy and consistency in outputs. Support the team in analysing data, interpreting model results, and preparing reports for internal and external stakeholders Collaborate with senior team members to understand and improve internal processes related to cyber modelling. Stay informed about developments in cyber risk, catastrophe modelling tools, and industry trends Participate in training sessions and professional development opportunities to build your technical and industry expertise You will also have the opportunity for: Presenting cyber catastrophe modelling outputs to clients Assit in the generation of white papers and market publications that drive the understanding cyber risk in the global cyber (re)insurance market About You Educational Requirements Degree in a cyber-technical or mathematical field, such as Cyber Security, Computer Science, Data Science, Mathematics, Physics, Actuarial Science, Engineering, or equivalent qualification. Desired Skills and Qualifications A genuine enthusiasm and keen interest in the fields of Cyber Risk, Insurance, Risk Management, and Reinsurance. Excellent communication and organisational skills Proven ability to cultivate and maintain robust professional relationships with internal and external stakeholders Strong curiosity, open-minded attitude, and a desire to learn and embrace new challenges Solid technical aptitude with the ability to understand and apply cyber security, mathematical, probabilistic, and quantitative concepts in a real-world risk context Passion for data-driven analysis, with an interest in working with large datasets and analytical tools such as R, Python, MATLAB, and SQL Proficiency in Microsoft Office Suite, including Excel, Word, and PowerPoint. The Application Process Stage 1: Online application Stage 2: Virtual Interview Stage 3: Technical Interview Stage 4: Final Interview at Gallagher location Stage 5: Offers made Start date for our International Programme will be September 2026. You will be notified on your progress throughout the process. Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits youll get, depending on your job level these benefits may improve: Minimum of 25 days holiday, plus bank holidays, and the option to buy extra days Defined contribution pension scheme, which Gallagher will also contribute to Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x Income protection, well cover up to 50% of your annual income, with options to top up Health cash plan or Private medical insurance Other benefits include: Three fully paid volunteering days per year Employee Stock Purchase plan, offering company shares at a discount Share incentive plan, HMRC approved, tax effective, stock purchase plan Critical illness cover Discounted gym membership, with over 3,000 gyms nationally Season ticket loan Access to a discounted voucher portal to save money on your weekly shop or next big purchase Emergency back-up family care And many more We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and its embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long-term health conditions or disabilities. We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Dont worry, were here to help, however, we can only do this if you let us know. Should you require reasonable adjustments to your application, please get in touch with . If youd prefer to speak on the phone, please request a call back, leaving details, so we get in touch. Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as protected characteristics) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. JBRP1_UKTJ
Mar 02, 2026
Full time
Introduction At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data-driven decisions in a rapidly evolving risk landscape. Here, youll be part of a team that leverages world-class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence. Together, we transform advanced insights and market intelligence into strategies that protect businesses, drive performance, and shape the future of reinsurance.Were a community of decision makers, future shapers, and trusted experts working side by side to deliver meaningful impact through innovative thinking and practical solutions. At Gallagher Re, your curiosity is welcomed, your growth is championed, and your work truly matters.This is a place where you'll have the freedom to explore new ideas, take ownership of your career, and collaborate with people who are as driven and inquisitive as you are. Overview Joining our Cyber Catastrophe Modelling team as a graduate is an excellent opportunity to kick-start your career in a dynamic and rapidly evolving field. You will gain valuable experience working with industry experts, developing your technical and analytical skills, and contributing to innovative solutions that help our clients manage cyber risks effectively How you'll make an impact As a Graduate Cyber Catastrophe Analyst, you will be introduced to the fundamentals of cyber risk and catastrophe modelling, gaining hands-on experience in delivering modelling outputs and supporting the team in providing tailored solutions and value-add insights to clients. This role is designed to help you develop your technical skills, industry knowledge, and build you confidence in client facing situations, including: Approaching and solving complex, non-standard analytical problems to deliver tailored insights and solutions for our clients Learn and apply best practices for using cyber catastrophe models, ensuring accuracy and consistency in outputs. Support the team in analysing data, interpreting model results, and preparing reports for internal and external stakeholders Collaborate with senior team members to understand and improve internal processes related to cyber modelling. Stay informed about developments in cyber risk, catastrophe modelling tools, and industry trends Participate in training sessions and professional development opportunities to build your technical and industry expertise You will also have the opportunity for: Presenting cyber catastrophe modelling outputs to clients Assit in the generation of white papers and market publications that drive the understanding cyber risk in the global cyber (re)insurance market About You Educational Requirements Degree in a cyber-technical or mathematical field, such as Cyber Security, Computer Science, Data Science, Mathematics, Physics, Actuarial Science, Engineering, or equivalent qualification. Desired Skills and Qualifications A genuine enthusiasm and keen interest in the fields of Cyber Risk, Insurance, Risk Management, and Reinsurance. Excellent communication and organisational skills Proven ability to cultivate and maintain robust professional relationships with internal and external stakeholders Strong curiosity, open-minded attitude, and a desire to learn and embrace new challenges Solid technical aptitude with the ability to understand and apply cyber security, mathematical, probabilistic, and quantitative concepts in a real-world risk context Passion for data-driven analysis, with an interest in working with large datasets and analytical tools such as R, Python, MATLAB, and SQL Proficiency in Microsoft Office Suite, including Excel, Word, and PowerPoint. The Application Process Stage 1: Online application Stage 2: Virtual Interview Stage 3: Technical Interview Stage 4: Final Interview at Gallagher location Stage 5: Offers made Start date for our International Programme will be September 2026. You will be notified on your progress throughout the process. Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits youll get, depending on your job level these benefits may improve: Minimum of 25 days holiday, plus bank holidays, and the option to buy extra days Defined contribution pension scheme, which Gallagher will also contribute to Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x Income protection, well cover up to 50% of your annual income, with options to top up Health cash plan or Private medical insurance Other benefits include: Three fully paid volunteering days per year Employee Stock Purchase plan, offering company shares at a discount Share incentive plan, HMRC approved, tax effective, stock purchase plan Critical illness cover Discounted gym membership, with over 3,000 gyms nationally Season ticket loan Access to a discounted voucher portal to save money on your weekly shop or next big purchase Emergency back-up family care And many more We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and its embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long-term health conditions or disabilities. We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Dont worry, were here to help, however, we can only do this if you let us know. Should you require reasonable adjustments to your application, please get in touch with . If youd prefer to speak on the phone, please request a call back, leaving details, so we get in touch. Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as protected characteristics) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. JBRP1_UKTJ
Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. Were always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. About the Role: We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management. Working with us, you can do this by: Deploying our integrated capability and standards in service of our net zero and safety ambitions Driving our digital transformation and pioneering new business models Collaborating to deliver competitive customer-focused energy solutions. Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them Protecting us by assuring management of our greatest physical and digital risks Because together we are: Originators, builders, guardians and disruptors Engineers, technologists, scientists and entrepreneurs Empathetic, curious, creative and inclusive Key Accountabilities: Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Essential Experience & Qualifications: Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) AdvancedSQL knowledge. Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement attitude. MSc or PhD degree in a quantitative field. No prior experience in the energy industry required. Why Join Us? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ
Mar 02, 2026
Full time
Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. Were always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. About the Role: We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management. Working with us, you can do this by: Deploying our integrated capability and standards in service of our net zero and safety ambitions Driving our digital transformation and pioneering new business models Collaborating to deliver competitive customer-focused energy solutions. Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them Protecting us by assuring management of our greatest physical and digital risks Because together we are: Originators, builders, guardians and disruptors Engineers, technologists, scientists and entrepreneurs Empathetic, curious, creative and inclusive Key Accountabilities: Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Essential Experience & Qualifications: Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) AdvancedSQL knowledge. Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement attitude. MSc or PhD degree in a quantitative field. No prior experience in the energy industry required. Why Join Us? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ
Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Role Overview Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Mar 02, 2026
Full time
Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Role Overview Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Cambridge University Press
Cambridge, Cambridgeshire
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
Mar 02, 2026
Full time
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
Senior Software Engineer - Oracle Infra Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg is the industry standard for financial data. Bloomberg's software solutions depend on robust data infrastructure to provide clients with this data. Our team is designing the next generation systems for managing this crucial infrastructure. Our ability to provide a DBaaS (Database as a Service) platform is critical to our clients' ability to retrieve and analyze massive quantities of data. Ensuring our services scale, are robust, secure, high-performing, and reliable is where you come in. The Oracle Infrastructure team, part of Bloomberg's Database Engineering organization, builds the self-service infrastructure that enables engineers to effectively manage relational databases. Our mission is to be like a cloud provider that's optimized for Bloomberg Engineering's development needs. We are responsible for the infrastructure used to manage hundreds of Oracle database instances. To support this scale, we are recreating our database platform with a focus on security, performance, high availability, and self-service. Our work sits at the intersection of infrastructure, developer experience, and data architecture, giving us unique visibility into Bloomberg's broader engineering landscape. We define database development best practices and leverage our collective experience to influence Bloomberg's database architecture design decisions. We are looking for a database expert with deep Oracle experience who also enjoys writing software and building automation. Someone who understands Oracle internals, performance tuning, and high availability architectures, and you believe in automating infrastructure and making things efficient where possible. We are ideally looking for someone who is comfortable in writing production-quality code and debugging issues that span database, application, and infrastructure layers. We'll expect you to: Build Oracle focused automation to manage at scale database configuration, version management, and push button deployment. Automate the configuration and testing of Oracle high availability and disaster recovery solutions. Build backend tooling and services (Java/Python) that integrate with managed on premises Oracle environments. Improve monitoring, telemetry, and operational tooling. Troubleshoot complex Oracle performance issues using execution plans, wait events, and workload analysis. Promote database design and performance best practices across engineering teams. Collaborate with engineering teams and domain experts to design resilient and scalable solutions. You need to have: Strong hands on engineering experience building applications on top of Oracle databases. Deep knowledge of SQL and PL/SQL. Experience diagnosing and resolving Oracle performance issues. Experience writing software (Java or Python) to automate operational workflows. Ability to debug complex production incidents across database and application layers. Strong problem-solving and communication skills. BA, BS, MS, or PhD in Computer Science, Engineering, or related technical field (or equivalent experience). We'd love to see: Experience administering Oracle at scale (Data Guard, ASM, RMAN). Experience building distributed systems or platform services. Familiarity with Kubernetes and containerized infrastructure. Experience with configuration management tools. Participation in database or open source communities. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Mar 02, 2026
Full time
Senior Software Engineer - Oracle Infra Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg is the industry standard for financial data. Bloomberg's software solutions depend on robust data infrastructure to provide clients with this data. Our team is designing the next generation systems for managing this crucial infrastructure. Our ability to provide a DBaaS (Database as a Service) platform is critical to our clients' ability to retrieve and analyze massive quantities of data. Ensuring our services scale, are robust, secure, high-performing, and reliable is where you come in. The Oracle Infrastructure team, part of Bloomberg's Database Engineering organization, builds the self-service infrastructure that enables engineers to effectively manage relational databases. Our mission is to be like a cloud provider that's optimized for Bloomberg Engineering's development needs. We are responsible for the infrastructure used to manage hundreds of Oracle database instances. To support this scale, we are recreating our database platform with a focus on security, performance, high availability, and self-service. Our work sits at the intersection of infrastructure, developer experience, and data architecture, giving us unique visibility into Bloomberg's broader engineering landscape. We define database development best practices and leverage our collective experience to influence Bloomberg's database architecture design decisions. We are looking for a database expert with deep Oracle experience who also enjoys writing software and building automation. Someone who understands Oracle internals, performance tuning, and high availability architectures, and you believe in automating infrastructure and making things efficient where possible. We are ideally looking for someone who is comfortable in writing production-quality code and debugging issues that span database, application, and infrastructure layers. We'll expect you to: Build Oracle focused automation to manage at scale database configuration, version management, and push button deployment. Automate the configuration and testing of Oracle high availability and disaster recovery solutions. Build backend tooling and services (Java/Python) that integrate with managed on premises Oracle environments. Improve monitoring, telemetry, and operational tooling. Troubleshoot complex Oracle performance issues using execution plans, wait events, and workload analysis. Promote database design and performance best practices across engineering teams. Collaborate with engineering teams and domain experts to design resilient and scalable solutions. You need to have: Strong hands on engineering experience building applications on top of Oracle databases. Deep knowledge of SQL and PL/SQL. Experience diagnosing and resolving Oracle performance issues. Experience writing software (Java or Python) to automate operational workflows. Ability to debug complex production incidents across database and application layers. Strong problem-solving and communication skills. BA, BS, MS, or PhD in Computer Science, Engineering, or related technical field (or equivalent experience). We'd love to see: Experience administering Oracle at scale (Data Guard, ASM, RMAN). Experience building distributed systems or platform services. Familiarity with Kubernetes and containerized infrastructure. Experience with configuration management tools. Participation in database or open source communities. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
A leading quantum computing company located in Reading, UK, is seeking a Senior Software Engineer for its Compiler team. This hands-on role involves leading the software development lifecycle, designing scalable systems, and mentoring engineers. The ideal candidate should have extensive knowledge of Python, LLVM compiler techniques, and low-level programming such as C/C++. Join a team that tackles deep technical challenges and shapes the future of quantum computing.
Mar 02, 2026
Full time
A leading quantum computing company located in Reading, UK, is seeking a Senior Software Engineer for its Compiler team. This hands-on role involves leading the software development lifecycle, designing scalable systems, and mentoring engineers. The ideal candidate should have extensive knowledge of Python, LLVM compiler techniques, and low-level programming such as C/C++. Join a team that tackles deep technical challenges and shapes the future of quantum computing.
Job Summary In this role, you will design, build, and maintain high-impact services that deliver Wikimedia content to organizations at scale. You will contribute to the long-term technical roadmap, ensuring the reliability, scalability, and performance of data feeds used by high-volume consumers. Working within a globally distributed, startup-like engineering team, you will tackle complex technical challenges while fostering collaboration across product and infrastructure teams. Your work will influence how content is accessed, reused, and integrated worldwide, directly impacting billions of users. This position offers a fast-paced, innovative environment where creativity, system-level thinking, and high-quality execution are valued. You will be responsible for architecting solutions, responding to incidents, and optimizing workflows to maintain a reliable, secure, and performant platform. This is an opportunity to work on cutting-edge infrastructure that underpins a global knowledge ecosystem. Responsibilities Develop, deploy, and maintain highly reliable data feeds and services for large-scale content distribution. Collaborate with product and engineering teams to plan, implement, and execute the technical roadmap. Design scalable infrastructure, architect new services, and optimize existing systems to ensure high performance. Troubleshoot, debug, and resolve issues across the application stack and production infrastructure. Participate in incident response, diagnosis, and follow-up for system outages or alerts. Contribute to best practices, tooling, and automation to improve operational efficiency and system reliability. Share knowledge and mentor team members on software engineering and infrastructure standards. Requirements Proven experience in supporting complex web applications on cloud platforms (AWS preferred) and distributed systems (Kafka or similar). Strong proficiency in Node.js and Go, along with scripting languages such as Python, Bash, or Ruby. Experience with configuration management, orchestration tools (ECS, Kubernetes), and observability infrastructure (monitoring, metrics, logging). Solid understanding of Linux/Unix fundamentals and debugging in production environments. Comfort working in semi-ambiguous, fast-paced, and startup-like environments. Excellent communication skills and ability to work effectively within a globally distributed team. B.S. or M.S. in Computer Science or equivalent professional experience. Bonus: Open source contributions, non-cloud infrastructure experience, startup experience, or multilingual fluency. Benefits Fully remote role with flexible working hours across UTC+0 to UTC+2 time zones. Competitive and equitable compensation based on experience, skills, and location. Opportunity to work on high-impact projects affecting global knowledge access. Collaborative, innovative, and startup-like engineering environment within a mission-driven organization. Structured onboarding, tools, and resources to support high-performance engineering. Inclusive, diverse, and globally distributed team culture. Opportunities for professional growth, mentorship, and learning in cutting-edge technologies. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. Data Privacy Notice By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
Mar 02, 2026
Full time
Job Summary In this role, you will design, build, and maintain high-impact services that deliver Wikimedia content to organizations at scale. You will contribute to the long-term technical roadmap, ensuring the reliability, scalability, and performance of data feeds used by high-volume consumers. Working within a globally distributed, startup-like engineering team, you will tackle complex technical challenges while fostering collaboration across product and infrastructure teams. Your work will influence how content is accessed, reused, and integrated worldwide, directly impacting billions of users. This position offers a fast-paced, innovative environment where creativity, system-level thinking, and high-quality execution are valued. You will be responsible for architecting solutions, responding to incidents, and optimizing workflows to maintain a reliable, secure, and performant platform. This is an opportunity to work on cutting-edge infrastructure that underpins a global knowledge ecosystem. Responsibilities Develop, deploy, and maintain highly reliable data feeds and services for large-scale content distribution. Collaborate with product and engineering teams to plan, implement, and execute the technical roadmap. Design scalable infrastructure, architect new services, and optimize existing systems to ensure high performance. Troubleshoot, debug, and resolve issues across the application stack and production infrastructure. Participate in incident response, diagnosis, and follow-up for system outages or alerts. Contribute to best practices, tooling, and automation to improve operational efficiency and system reliability. Share knowledge and mentor team members on software engineering and infrastructure standards. Requirements Proven experience in supporting complex web applications on cloud platforms (AWS preferred) and distributed systems (Kafka or similar). Strong proficiency in Node.js and Go, along with scripting languages such as Python, Bash, or Ruby. Experience with configuration management, orchestration tools (ECS, Kubernetes), and observability infrastructure (monitoring, metrics, logging). Solid understanding of Linux/Unix fundamentals and debugging in production environments. Comfort working in semi-ambiguous, fast-paced, and startup-like environments. Excellent communication skills and ability to work effectively within a globally distributed team. B.S. or M.S. in Computer Science or equivalent professional experience. Bonus: Open source contributions, non-cloud infrastructure experience, startup experience, or multilingual fluency. Benefits Fully remote role with flexible working hours across UTC+0 to UTC+2 time zones. Competitive and equitable compensation based on experience, skills, and location. Opportunity to work on high-impact projects affecting global knowledge access. Collaborative, innovative, and startup-like engineering environment within a mission-driven organization. Structured onboarding, tools, and resources to support high-performance engineering. Inclusive, diverse, and globally distributed team culture. Opportunities for professional growth, mentorship, and learning in cutting-edge technologies. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. Data Privacy Notice By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
Job Introduction Machine Learning and Data Engineering Tutor and Marker Here at BPP, part of Lyceum Education Group we pride ourselves on providing the best possible learner experience, with our specialised team of tutors working closely with our students to ensure they are getting the most from our courses. An opportunity has arisen for an insightful and knowledgeable tutor to join the team as a Machine Learning and Data Engineering Tutor and Marker. The role of the tutor is to deliver high-quality teaching and learning at undergraduate and postgraduate levels, that reflect the current skills and capability requirements of corporate employers. Tutors must have significant professional and academic experience in their discipline, as well as the enthusiasm to pass their passion for their specialist area on to students, learners, clients and peers. What if you read the description and don't meet every single requirement? We encourage you to apply anyway - we value diverse backgrounds and are committed to inclusivity! Why work for BPP Education Group? It is a great time to join BPP Education Group as we have enjoyed a sustained period of growth, offering a wealth of opportunities to our staff, students and clients. There are many more great reasons to join BPP Education Group such as: Brilliantly, you can study any of BPP's courses for free - be it a professional qualification or full degree. With hybrid working available, you'll be able to split your time between one of our centres and wherever you choose to call home. We also provide a generous annual leave entitlement of 30 days, and there's a rewards package that includes retail discounts and much more. Other key benefits include our Group Personal Pension Plan, dedicated private healthcare and dental plans that offer additional assurance to look after you and your family. What you'll be doing For this role, we are interested in hearing from practitioners with teaching experience in higher education, who can teach a range of subjects across our apprenticeship programmes. These could include: Level 5 Data Engineer Level 6 Machine Learning and AI Engineer BSc in Data Science MSc in Applied Data Analytics We are particularly looking for individuals with experience and expertise to support in the following areas: Machine Learning Artificial Intelligence Data Engineering Python Programming & Command Line Scripting Networking & Cyber Security Cloud Engineering Production Environment Key Responsibilities Tutors could be asked to undertake variety of duties including; curriculum and content design, assessment development, marking, supervision, student cohort management, as well as teaching. Teaching of our apprenticeship provision is mostly delivered online via the Adobe Connect platform. Our teaching hours are predominantly Monday - Friday (9.00am - 5.00pm). Skills, experience & qualifications required - Essential Essential Qualifications A Level 7 or equivalent qualification Development For those not currently holding either a teaching qualification or a Fellowship of the HEA membership, a commitment to achieving these through BPP's PGCLT or HEA scheme is essential. A commitment to engage with our Learning and Teaching CPD resources. Experience Relevant professional experience in industry, and relevant academic experience working in HE. Skills Excellent command of the English language Excellent written and verbal communication skills Excellent presentation skills The ability to plan, organise and prioritise workload The ability to work well in a team and be collaborative Commerciality Digital literacy Self-motivation Act on feedback Values Everybody Matters Trust and Respect Stronger Together Embrace Change Student, Learner and Client Centric Skills, experience & qualifications required - Desirable Desirable Qualifications Other industry related professional accreditations and/or certifications. Experience Experience teaching online. Experience using Adobe Connect. Pre-employment Checks Enhanced DBS Check Academic and professional certifications checks As a Disability Confident employer, BPP is committed to providing reasonable adjustments throughout the interview process. Candidates are encouraged to share any adjustment requirements ahead of interview so these can be considered and accommodated. BPP part of Lyceum Education Group actively promotes equality of opportunity for all with the right mix of talent, skills and potential, and welcomes applications from a wide range of candidates. BPP will select candidates for interview based on their skills, qualifications and experience. Please note that for those posts that are exempt from the Rehabilitation of Offenders Act 1974, the successful candidate will be required to undertake a DBS check in addition to BPP undertaking any necessary online searches. This is deemed appropriate and necessary from a safeguarding perspective, and in line with BPP safer recruitment practices. BPP part of Lyceum Education Group reserves the right to amend or withdraw this advertisement at any time prior to the closing date, should we receive a high volume of applications or if business needs change. Company: BPP Holdings Level of experience: Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom
Mar 02, 2026
Full time
Job Introduction Machine Learning and Data Engineering Tutor and Marker Here at BPP, part of Lyceum Education Group we pride ourselves on providing the best possible learner experience, with our specialised team of tutors working closely with our students to ensure they are getting the most from our courses. An opportunity has arisen for an insightful and knowledgeable tutor to join the team as a Machine Learning and Data Engineering Tutor and Marker. The role of the tutor is to deliver high-quality teaching and learning at undergraduate and postgraduate levels, that reflect the current skills and capability requirements of corporate employers. Tutors must have significant professional and academic experience in their discipline, as well as the enthusiasm to pass their passion for their specialist area on to students, learners, clients and peers. What if you read the description and don't meet every single requirement? We encourage you to apply anyway - we value diverse backgrounds and are committed to inclusivity! Why work for BPP Education Group? It is a great time to join BPP Education Group as we have enjoyed a sustained period of growth, offering a wealth of opportunities to our staff, students and clients. There are many more great reasons to join BPP Education Group such as: Brilliantly, you can study any of BPP's courses for free - be it a professional qualification or full degree. With hybrid working available, you'll be able to split your time between one of our centres and wherever you choose to call home. We also provide a generous annual leave entitlement of 30 days, and there's a rewards package that includes retail discounts and much more. Other key benefits include our Group Personal Pension Plan, dedicated private healthcare and dental plans that offer additional assurance to look after you and your family. What you'll be doing For this role, we are interested in hearing from practitioners with teaching experience in higher education, who can teach a range of subjects across our apprenticeship programmes. These could include: Level 5 Data Engineer Level 6 Machine Learning and AI Engineer BSc in Data Science MSc in Applied Data Analytics We are particularly looking for individuals with experience and expertise to support in the following areas: Machine Learning Artificial Intelligence Data Engineering Python Programming & Command Line Scripting Networking & Cyber Security Cloud Engineering Production Environment Key Responsibilities Tutors could be asked to undertake variety of duties including; curriculum and content design, assessment development, marking, supervision, student cohort management, as well as teaching. Teaching of our apprenticeship provision is mostly delivered online via the Adobe Connect platform. Our teaching hours are predominantly Monday - Friday (9.00am - 5.00pm). Skills, experience & qualifications required - Essential Essential Qualifications A Level 7 or equivalent qualification Development For those not currently holding either a teaching qualification or a Fellowship of the HEA membership, a commitment to achieving these through BPP's PGCLT or HEA scheme is essential. A commitment to engage with our Learning and Teaching CPD resources. Experience Relevant professional experience in industry, and relevant academic experience working in HE. Skills Excellent command of the English language Excellent written and verbal communication skills Excellent presentation skills The ability to plan, organise and prioritise workload The ability to work well in a team and be collaborative Commerciality Digital literacy Self-motivation Act on feedback Values Everybody Matters Trust and Respect Stronger Together Embrace Change Student, Learner and Client Centric Skills, experience & qualifications required - Desirable Desirable Qualifications Other industry related professional accreditations and/or certifications. Experience Experience teaching online. Experience using Adobe Connect. Pre-employment Checks Enhanced DBS Check Academic and professional certifications checks As a Disability Confident employer, BPP is committed to providing reasonable adjustments throughout the interview process. Candidates are encouraged to share any adjustment requirements ahead of interview so these can be considered and accommodated. BPP part of Lyceum Education Group actively promotes equality of opportunity for all with the right mix of talent, skills and potential, and welcomes applications from a wide range of candidates. BPP will select candidates for interview based on their skills, qualifications and experience. Please note that for those posts that are exempt from the Rehabilitation of Offenders Act 1974, the successful candidate will be required to undertake a DBS check in addition to BPP undertaking any necessary online searches. This is deemed appropriate and necessary from a safeguarding perspective, and in line with BPP safer recruitment practices. BPP part of Lyceum Education Group reserves the right to amend or withdraw this advertisement at any time prior to the closing date, should we receive a high volume of applications or if business needs change. Company: BPP Holdings Level of experience: Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Mar 01, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Mar 01, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Join Expedia Group's Growth Marketing Technology team to help shape the future of marketing through data driven innovation and AI powered solutions. As a Senior Product Manager, you'll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct market and trend analysis to inform product strategy and identify opportunities for innovation. Build deep understanding of data infrastructure and be able to source data dictionaries, database schema for wider use. Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements. Experience and qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 8+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well versed in design thinking principles. Great problem solving and analytical skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
A global biopharma company in Stevenage is seeking a candidate to lead applied analyses of omics datasets. This role involves integrating multi-omic data and applying statistical methods for translational results. A Master's or PhD in a relevant field is required, along with programming experience in R or Python. The position offers significant career advancement opportunities and participation in innovative drug development processes. A commitment to collaboration and mentorship within a multidisciplinary environment is essential.
Mar 01, 2026
Full time
A global biopharma company in Stevenage is seeking a candidate to lead applied analyses of omics datasets. This role involves integrating multi-omic data and applying statistical methods for translational results. A Master's or PhD in a relevant field is required, along with programming experience in R or Python. The position offers significant career advancement opportunities and participation in innovative drug development processes. A commitment to collaboration and mentorship within a multidisciplinary environment is essential.
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Feb 28, 2026
Full time
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
# About the Opportunity Job Type: PermanentApplication Deadline: 31 May 2026 Department FIL - Cyber Defence Operations Reports To Senior Technical Consultant - CDO Level 5We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So bring your boldest ideas to our Cyber Defense Operations team and feel like you're making progress. About your team Technology function across FIL is responsible for all global aspects of Technology, Digital, Cybersecurity, and Innovation. Fidelity is a value-driven, customer-obsessed organization and in Technology we are fortunate to play a direct role in helping our clients with one of the most important aspects of their lives - their financial well-being. Within the Technology function is our Global Cyber & Information Security (GCIS) that operates enterprise security services and controls. These are designed to mitigate Cyber and Information Security risks ensuring that Fidelity's business operates securely. The Technical Cybersecurity teams monitor both the internal and external threat environment, responding to security alerts and events in close to real time, as well as providing security assurance and access management services across the enterprise technology and business environment. Our global innovative Cyber Defence Operations team sits within GCIS and provides proactive, cutting-edge solutions to protect clients' digital assets and infrastructure against evolving cyber threats. The Detection Engineering & Automation team within our Global Cybersecurity Operations focuses on the development of automated detection capabilities to reduce manual effort of the Global Cybersecurity Operations team freeing up time to focus on real cyber threats. They ensure that security controls are performing effectively and efficiently and that they are feeding into automation technologies allowing the organisation to make intelligent correlated decisions. About your role The Detection, Automation and Engineering Manager plays a pivotal role in supporting the Global Cybersecurity Operations team by ensuring security tooling implemented in the organisation are working as intended. The ideal candidate will be responsible for driving excellence and innovation across the team and have extensive knowledge and experience in technologies including, but are not limited to, SIEM Administration (logging, use-case development, resource utilisation and optimisation), SOAR, DDoS, IPS, Email security, Network Anomaly Detection. The ideal candidate has experience of not only using a wide range of technologies to respond to security events, but also supporting ongoing maintenance of the tools. About you Key Responsibilities The Detection, Automation and Engineering Manager will be responsible to: Lead and manage a global high performing Detection, Automation and Engineering service. Lead and oversee the development of new security detection use-cases and associated workflows within automation to address emerging threats and vulnerabilities; ensuring robust QA, QC and Change Management is followed and maintained. Lead and own team delivery reporting, detailing key metrics, incidents, and trends for stakeholders, enabling informed decision-making following set formats. Drive engineering maturity by designing and implementing CI/CD pipelines to standardise, automate, and improve the quality, velocity, and reliability of detection and automation releases. Own and govern delivery prioritisation, ensuring sprint planning and team output align to the function roadmap, business priorities, and risk based value delivery. Contribute to and influence roadmap development by identifying engineering opportunities, tooling enhancements, and future-state capabilities that strengthen the function's strategic direction. Lead and oversee the maintenance and management of security solutions / services like Sentinel, Defender, ServiceNow, Proofpoint, etc. Regularly assess the effectiveness of security tools through metrics and key performance indicators, driving continuous improvement initiatives within the team. Identify and implement enhancement opportunities with existing tooling to capitalise investments and returns. Guide, upskill and mentor a high performing team, fostering a collaborative and innovative environment to maximize productivity and skill development. Collaborate with cross-functional teams and Security Architects to ensure alignment of security tooling initiatives with broader organizational goals and compliance requirements. Lead the implementation of robust security tooling solutions, ensuring seamless integration with existing systems and infrastructure. Establish and maintain proactive monitoring mechanisms to promptly detect and respond to incidents, utilizing the latest tooling capabilities. Provide expert support to security operations teams by troubleshooting tooling issues, conducting root cause analyses, and implementing corrective measures. Execute and oversee security tooling projects, including resource management, timelines, and deliverables, demonstrating adept project management skills. Experience and Skills Required At least 4 years of experience working in a Detection Engineering function, preferably in Financial Services, focusing on Automation and Security Engineering maturity, with experience of managing and maintaining security tools within a global environment. Programming experience (PowerShell, Bash, Python, JavaScript) to automate tasks using scripting on both Windows and Linux systems. Hands-on experience with APIs, demonstrating the ability to integrate security tools seamlessly, automate workflows, and enhance overall security posture through effective API utilization. Experience developing and fine-tuning Detection use-cases using advanced KQL and possess Innovative Mindset to challenge current processes. Experience developing and utilising automation to enhance responses to security alerts. Experience integrating and maintaining a SIEM solution and associated log stream integrations. Experience with Cloud environments and infrastructure integration with a SIEM solution. Demonstrable proficiency utilising built in security functions within Azure and AWS. Apply leadership and management skills in guiding and mentoring a security automation and engineering team to achieve collective success. Proven experience of being organised and methodical manner applying critical thinking to tasks and problems. Employ excellent communication skills, both written and verbal, to articulate security concepts, present findings, and engage with diverse stakeholders, including technical and non-technical audiences. Demonstrate adaptability to evolving security landscapes, staying updated on industry trends, and proactively integrating new technologies and methodologies into security tooling strategies. Feel rewarded For starters, we'll offer you a comprehensive benefits package. We'll value your wellbeing and support your development. And we'll be as flexible as we can about where and when you work - finding a balance that works for all of us. It's all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit For more about our work, our approach to dynamic working and how you could build your future here, visit As an international financial services organisation, we are in-scope of international regulations in the way that we carry out our work. This position is involved in work that is regulated by the FCA and/or the PRA and their Individual
Feb 28, 2026
Full time
# About the Opportunity Job Type: PermanentApplication Deadline: 31 May 2026 Department FIL - Cyber Defence Operations Reports To Senior Technical Consultant - CDO Level 5We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So bring your boldest ideas to our Cyber Defense Operations team and feel like you're making progress. About your team Technology function across FIL is responsible for all global aspects of Technology, Digital, Cybersecurity, and Innovation. Fidelity is a value-driven, customer-obsessed organization and in Technology we are fortunate to play a direct role in helping our clients with one of the most important aspects of their lives - their financial well-being. Within the Technology function is our Global Cyber & Information Security (GCIS) that operates enterprise security services and controls. These are designed to mitigate Cyber and Information Security risks ensuring that Fidelity's business operates securely. The Technical Cybersecurity teams monitor both the internal and external threat environment, responding to security alerts and events in close to real time, as well as providing security assurance and access management services across the enterprise technology and business environment. Our global innovative Cyber Defence Operations team sits within GCIS and provides proactive, cutting-edge solutions to protect clients' digital assets and infrastructure against evolving cyber threats. The Detection Engineering & Automation team within our Global Cybersecurity Operations focuses on the development of automated detection capabilities to reduce manual effort of the Global Cybersecurity Operations team freeing up time to focus on real cyber threats. They ensure that security controls are performing effectively and efficiently and that they are feeding into automation technologies allowing the organisation to make intelligent correlated decisions. About your role The Detection, Automation and Engineering Manager plays a pivotal role in supporting the Global Cybersecurity Operations team by ensuring security tooling implemented in the organisation are working as intended. The ideal candidate will be responsible for driving excellence and innovation across the team and have extensive knowledge and experience in technologies including, but are not limited to, SIEM Administration (logging, use-case development, resource utilisation and optimisation), SOAR, DDoS, IPS, Email security, Network Anomaly Detection. The ideal candidate has experience of not only using a wide range of technologies to respond to security events, but also supporting ongoing maintenance of the tools. About you Key Responsibilities The Detection, Automation and Engineering Manager will be responsible to: Lead and manage a global high performing Detection, Automation and Engineering service. Lead and oversee the development of new security detection use-cases and associated workflows within automation to address emerging threats and vulnerabilities; ensuring robust QA, QC and Change Management is followed and maintained. Lead and own team delivery reporting, detailing key metrics, incidents, and trends for stakeholders, enabling informed decision-making following set formats. Drive engineering maturity by designing and implementing CI/CD pipelines to standardise, automate, and improve the quality, velocity, and reliability of detection and automation releases. Own and govern delivery prioritisation, ensuring sprint planning and team output align to the function roadmap, business priorities, and risk based value delivery. Contribute to and influence roadmap development by identifying engineering opportunities, tooling enhancements, and future-state capabilities that strengthen the function's strategic direction. Lead and oversee the maintenance and management of security solutions / services like Sentinel, Defender, ServiceNow, Proofpoint, etc. Regularly assess the effectiveness of security tools through metrics and key performance indicators, driving continuous improvement initiatives within the team. Identify and implement enhancement opportunities with existing tooling to capitalise investments and returns. Guide, upskill and mentor a high performing team, fostering a collaborative and innovative environment to maximize productivity and skill development. Collaborate with cross-functional teams and Security Architects to ensure alignment of security tooling initiatives with broader organizational goals and compliance requirements. Lead the implementation of robust security tooling solutions, ensuring seamless integration with existing systems and infrastructure. Establish and maintain proactive monitoring mechanisms to promptly detect and respond to incidents, utilizing the latest tooling capabilities. Provide expert support to security operations teams by troubleshooting tooling issues, conducting root cause analyses, and implementing corrective measures. Execute and oversee security tooling projects, including resource management, timelines, and deliverables, demonstrating adept project management skills. Experience and Skills Required At least 4 years of experience working in a Detection Engineering function, preferably in Financial Services, focusing on Automation and Security Engineering maturity, with experience of managing and maintaining security tools within a global environment. Programming experience (PowerShell, Bash, Python, JavaScript) to automate tasks using scripting on both Windows and Linux systems. Hands-on experience with APIs, demonstrating the ability to integrate security tools seamlessly, automate workflows, and enhance overall security posture through effective API utilization. Experience developing and fine-tuning Detection use-cases using advanced KQL and possess Innovative Mindset to challenge current processes. Experience developing and utilising automation to enhance responses to security alerts. Experience integrating and maintaining a SIEM solution and associated log stream integrations. Experience with Cloud environments and infrastructure integration with a SIEM solution. Demonstrable proficiency utilising built in security functions within Azure and AWS. Apply leadership and management skills in guiding and mentoring a security automation and engineering team to achieve collective success. Proven experience of being organised and methodical manner applying critical thinking to tasks and problems. Employ excellent communication skills, both written and verbal, to articulate security concepts, present findings, and engage with diverse stakeholders, including technical and non-technical audiences. Demonstrate adaptability to evolving security landscapes, staying updated on industry trends, and proactively integrating new technologies and methodologies into security tooling strategies. Feel rewarded For starters, we'll offer you a comprehensive benefits package. We'll value your wellbeing and support your development. And we'll be as flexible as we can about where and when you work - finding a balance that works for all of us. It's all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit For more about our work, our approach to dynamic working and how you could build your future here, visit As an international financial services organisation, we are in-scope of international regulations in the way that we carry out our work. This position is involved in work that is regulated by the FCA and/or the PRA and their Individual
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Feb 28, 2026
Full time
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
