CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .
Feb 20, 2026
Full time
CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .
A data-driven financial technology firm in London seeks a Quantitative Analyst to build ML-driven insight systems using structured financial time series data. This role requires strong Python skills and over 5 years of experience in quantitative analysis or financial modeling. You will develop models, deploy them into production, and evaluate signals based on real-world investor outcomes. The compensation ranges from £110,000 to £200,000 depending on experience, with equity included. This is an in-office role that offers direct influence on investor decision-making.
Feb 20, 2026
Full time
A data-driven financial technology firm in London seeks a Quantitative Analyst to build ML-driven insight systems using structured financial time series data. This role requires strong Python skills and over 5 years of experience in quantitative analysis or financial modeling. You will develop models, deploy them into production, and evaluate signals based on real-world investor outcomes. The compensation ranges from £110,000 to £200,000 depending on experience, with equity included. This is an in-office role that offers direct influence on investor decision-making.
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture. We are now looking for a Senior Analyst to join our Marketing & Reader Revenue (MRR) team. At the Guardian, analytics plays an important role in supporting strategic decisions through robust, high-quality analysis. The Senior Technical Analyst will be embedded within the department and focused on delivering practical, data-driven insights aligned to the Guardian's priorities. The MRR team supports revenue and subscriptions growth through customer behaviour and marketing performance analysis. The team's primary objective is to enable MRR and the associated Product and Engineering teams to be audience centric, data driven, and to deliver meaningful, actionable insights in response to long term trends. You'll support subscription and revenue growth by analysing marketing performance, customer behaviour and retention strategies. About the Role: Develop and enhance analytics workflows and reporting processes that support day-to-day performance tracking, using tools such as SQL, Python, and Tableau to streamline data access and insight delivery. Develop, refine, and own critical KPIs, with a particular focus on Lifetime Value (LTV), retention, churn, conversion, and acquisition efficiency-ensuring these are consistently measured and aligned with strategic goals. Independently scope and deliver analytical projects from end to end: defining the problem, selecting appropriate methods, conducting in-depth analysis, and communicating results that support data-driven decision-making. Translate complex datasets into clear, actionable insights, using tools like Tableau and strong written communication to create structured outputs that are easy to interpret and tailored to diverse audiences. Ensure data quality and reporting accuracy across all BAU and project-based outputs through robust testing, documentation, and peer review processes. Act as a trusted partner to stakeholders across MRR, advising on data best practices and how to effectively use analytics to drive decisions. Build subject matter expertise in your focus area, such as content performance, advertising inventory, or reader behaviour-and share insights to elevate team and organisational understanding. Foster strong cross-functional relationships with Product, Data Engineering, UX Research, and other teams to align analytics work with wider business objectives and improve data workflows. Contribute to a high-performing, collaborative analytics culture, participating in peer reviews, sharing best practices, and supporting team-wide improvements in standards, documentation, and tooling. About You: Demonstrated experience in data analytics including scoping, delivering, and communicating analytics projects that support department goals. Strong experience in SQL and practical experience in Python (or R), including packages such as pandas for analysis. Writes clean, well-documented code and follows good documentation/versioning practices. Strong expertise in KPI development-particularly Lifetime Value (LTV), retention metrics, acquisition efficiency, and conversion tracking. Applied knowledge of experimental testing (A/B and multivariate) Skilled in data visualisation and dashboard creation (e.g. Tableau), communicates findings clearly and concisely Open, inclusive team contributor-willing to share feedback, mentor junior team members, and continuously learn from others as well as keeping collaborators and managers informed of progress, blockers, and results throughout project delivery. Comfortable with ambiguity and structuring analysis from first principles. We actively encourage applications from groups traditionally underrepresented in the UK media. We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements. How to Apply To apply, please upload your latest CV and a cover letter which outlines why you'd love to take on this role, and why you're a great match for what we're looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Tuesday 24th February 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application. Benefits at the Guardian You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available. You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance. We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy. Culture and Wellbeing We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner. Learning and Development We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Feb 20, 2026
Full time
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture. We are now looking for a Senior Analyst to join our Marketing & Reader Revenue (MRR) team. At the Guardian, analytics plays an important role in supporting strategic decisions through robust, high-quality analysis. The Senior Technical Analyst will be embedded within the department and focused on delivering practical, data-driven insights aligned to the Guardian's priorities. The MRR team supports revenue and subscriptions growth through customer behaviour and marketing performance analysis. The team's primary objective is to enable MRR and the associated Product and Engineering teams to be audience centric, data driven, and to deliver meaningful, actionable insights in response to long term trends. You'll support subscription and revenue growth by analysing marketing performance, customer behaviour and retention strategies. About the Role: Develop and enhance analytics workflows and reporting processes that support day-to-day performance tracking, using tools such as SQL, Python, and Tableau to streamline data access and insight delivery. Develop, refine, and own critical KPIs, with a particular focus on Lifetime Value (LTV), retention, churn, conversion, and acquisition efficiency-ensuring these are consistently measured and aligned with strategic goals. Independently scope and deliver analytical projects from end to end: defining the problem, selecting appropriate methods, conducting in-depth analysis, and communicating results that support data-driven decision-making. Translate complex datasets into clear, actionable insights, using tools like Tableau and strong written communication to create structured outputs that are easy to interpret and tailored to diverse audiences. Ensure data quality and reporting accuracy across all BAU and project-based outputs through robust testing, documentation, and peer review processes. Act as a trusted partner to stakeholders across MRR, advising on data best practices and how to effectively use analytics to drive decisions. Build subject matter expertise in your focus area, such as content performance, advertising inventory, or reader behaviour-and share insights to elevate team and organisational understanding. Foster strong cross-functional relationships with Product, Data Engineering, UX Research, and other teams to align analytics work with wider business objectives and improve data workflows. Contribute to a high-performing, collaborative analytics culture, participating in peer reviews, sharing best practices, and supporting team-wide improvements in standards, documentation, and tooling. About You: Demonstrated experience in data analytics including scoping, delivering, and communicating analytics projects that support department goals. Strong experience in SQL and practical experience in Python (or R), including packages such as pandas for analysis. Writes clean, well-documented code and follows good documentation/versioning practices. Strong expertise in KPI development-particularly Lifetime Value (LTV), retention metrics, acquisition efficiency, and conversion tracking. Applied knowledge of experimental testing (A/B and multivariate) Skilled in data visualisation and dashboard creation (e.g. Tableau), communicates findings clearly and concisely Open, inclusive team contributor-willing to share feedback, mentor junior team members, and continuously learn from others as well as keeping collaborators and managers informed of progress, blockers, and results throughout project delivery. Comfortable with ambiguity and structuring analysis from first principles. We actively encourage applications from groups traditionally underrepresented in the UK media. We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements. How to Apply To apply, please upload your latest CV and a cover letter which outlines why you'd love to take on this role, and why you're a great match for what we're looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Tuesday 24th February 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application. Benefits at the Guardian You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available. You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance. We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy. Culture and Wellbeing We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner. Learning and Development We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Locations: London Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions. KEY RESPONSIBILITIES You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products. Develop Gen AI products to develop scalable high performance enterprise products along with broader squad. Manage a team to deliver Gen AI products. Share expertise and recommendations on alternate approaches & tools to improve product. Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You'll Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years of experience leading a team. Advanced proficiency in Python for data science, engineering & LLMs. Highly curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi agent frameworks/systems and an understanding of multi agent systems and their applications in complex problem solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have. Excellent communication skills, with the ability to explain complex technical concepts to various audiences. Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization. Who You'll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E-Verify Employer. Click here for more information on E-Verify.
Feb 20, 2026
Full time
Locations: London Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions. KEY RESPONSIBILITIES You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products. Develop Gen AI products to develop scalable high performance enterprise products along with broader squad. Manage a team to deliver Gen AI products. Share expertise and recommendations on alternate approaches & tools to improve product. Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You'll Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years of experience leading a team. Advanced proficiency in Python for data science, engineering & LLMs. Highly curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi agent frameworks/systems and an understanding of multi agent systems and their applications in complex problem solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have. Excellent communication skills, with the ability to explain complex technical concepts to various audiences. Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization. Who You'll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E-Verify Employer. Click here for more information on E-Verify.
Careers# Head of Engineering & Architecture Team:Technology - UK Location:United Kingdom Work Model:hybrid Work Type:Permanent Hi, we're PEXA! We know you'll Google us before applying, so let's keep this brief. PEXA revolutionised the way that property is settled in Australia, turning a paper-based process into a digital one. Our solution is a world-first, with over 500 people across Australia and an expanding international team, we're helping 20,000+ families into their homes each week.We're passionate about solving problems for our customers - always striving to set the standard for how property is bought and sold. Being awarded as one of the best places to work in Australia is a recognition of our culture and commitment to innovation, customers and our community.We're growing fast, that is where you come in.We believe our success in Australia is worth sharing and that our proven technology will advance how the UK buys and sells homes.Establishing ourselves within the UK in late 2020, we are committed to collaborating with lawyers, conveyancers, lenders, government and the property industry, to set the new standard for both remortgages and buying and selling property.Great question! Being a PEXArian is so much more than just a job. We're a passionate, motivated and unashamedly enthusiastic bunch at PEXA - we love what we do and we're proud to admit it! Creating brilliant experiences for our members and their clients wouldn't be possible without ensuring we deliver an exceptional employee experience. Here's a snapshot of what your life at PEXA could look like: Your growth: We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness: We care about your holistic wellbeing Your work/life blend: We know that work is just one aspect of your life - we want to help you create your ideal work/life blend, rather than squeezing in life around work. Role Overview As Head of Engineering and Architecture at PEXA UK, you will own the engineering function and technical vision across our UK technology organisation. Working directly with the CTO, you'll define and execute technical strategy, lead engineering teams to deliver scalable solutions, and build the engineering capability that powers PEXA's growth.This role combines strategic technical direction with operational excellence - from hands-on architectural guidance to talent development and stakeholder collaboration. Our Ethos We believe in autonomous engineering teams where every engineer owns quality from development through production. As Head of Engineering and Architecture, you will shape this culture of ownership and build the engineering capability that enables PEXA UK's growth.You'll champion shift-left testing practices and promote T-shaped skill development. This role offers significant autonomy and the opportunity to shape the technical direction of a transformative property technology company.We at PEXA are ready so if this role sounds like you apply today. To be conducted as part of post offer employment checks: The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found at . GDPR Compliance Digital Completion UK Limited (trading name "PEXA"), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, United Home Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN ; ASX: PXA) (referred to collectively as "PEXA Group"). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice . Key Responsibilities Technical Strategy & Architecture Define and drive the engineering vision, architecture principles, and technical roadmap for PEXA UK Own product and solution architecture with focus on quality, scalability, and operational resilience in a highly integrated ecosystem Establish engineering best practices, coding standards, and architectural governance across all teams Evaluate and adopt emerging technologies and AI capabilities to maintain competitive advantage Engineering Leadership & Delivery Lead and scale engineering teams, driving delivery of complex programmes with significant business impact Build, mentor, and inspire high-performing teams, fostering innovation and continuous learning Define and drive OKRs for engineering quality, delivery velocity, and platform reliability Drive operational excellence with strong focus on SLOs and data-driven decision making People Leadership & Talent Development Hire and grow the next generation of engineering leadership through coaching and performance management Attract, retain, and develop top engineering talent, setting a high bar and leading by example Conduct effective 1:1s with direct reports, providing career guidance and actionable feedback Strategic Partnership Partner with Product, Design, and Operations to shape and deliver strategic product roadmaps Translate business requirements into technical solutions that deliver measurable customer value Manage engineering budgets, resources, and vendor relationships Essential Skills & Experience Technical Background Deep technical background with hands-on experience in backend systems, microservices, anddistributed architectures Strong full-stack foundation: .NET Core Python, Kotlin, cloud platforms (AWS, Azure),containerisation (Kubernetes, Docker) Track record of delivering high-scale, reliable, and secure platforms for enterprise customers Knowledge of modern engineering practices: TDD, DDD, CI/CD, infrastructure as code Leadership Skills Proven experience leading and scaling engineering teams in high-growth technology environments Experience leading and scaling 4-5 teams, 30-50 people, ideally including offshore partners Exceptional leadership skills to inspire and retain high-performing teams Excellent communication with ability to influence across teams and seniority levels Strategic thinker comfortable in fast-paced, ambiguous environments Nice To Have Experience in financial services, property technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering
Feb 20, 2026
Full time
Careers# Head of Engineering & Architecture Team:Technology - UK Location:United Kingdom Work Model:hybrid Work Type:Permanent Hi, we're PEXA! We know you'll Google us before applying, so let's keep this brief. PEXA revolutionised the way that property is settled in Australia, turning a paper-based process into a digital one. Our solution is a world-first, with over 500 people across Australia and an expanding international team, we're helping 20,000+ families into their homes each week.We're passionate about solving problems for our customers - always striving to set the standard for how property is bought and sold. Being awarded as one of the best places to work in Australia is a recognition of our culture and commitment to innovation, customers and our community.We're growing fast, that is where you come in.We believe our success in Australia is worth sharing and that our proven technology will advance how the UK buys and sells homes.Establishing ourselves within the UK in late 2020, we are committed to collaborating with lawyers, conveyancers, lenders, government and the property industry, to set the new standard for both remortgages and buying and selling property.Great question! Being a PEXArian is so much more than just a job. We're a passionate, motivated and unashamedly enthusiastic bunch at PEXA - we love what we do and we're proud to admit it! Creating brilliant experiences for our members and their clients wouldn't be possible without ensuring we deliver an exceptional employee experience. Here's a snapshot of what your life at PEXA could look like: Your growth: We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness: We care about your holistic wellbeing Your work/life blend: We know that work is just one aspect of your life - we want to help you create your ideal work/life blend, rather than squeezing in life around work. Role Overview As Head of Engineering and Architecture at PEXA UK, you will own the engineering function and technical vision across our UK technology organisation. Working directly with the CTO, you'll define and execute technical strategy, lead engineering teams to deliver scalable solutions, and build the engineering capability that powers PEXA's growth.This role combines strategic technical direction with operational excellence - from hands-on architectural guidance to talent development and stakeholder collaboration. Our Ethos We believe in autonomous engineering teams where every engineer owns quality from development through production. As Head of Engineering and Architecture, you will shape this culture of ownership and build the engineering capability that enables PEXA UK's growth.You'll champion shift-left testing practices and promote T-shaped skill development. This role offers significant autonomy and the opportunity to shape the technical direction of a transformative property technology company.We at PEXA are ready so if this role sounds like you apply today. To be conducted as part of post offer employment checks: The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found at . GDPR Compliance Digital Completion UK Limited (trading name "PEXA"), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, United Home Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN ; ASX: PXA) (referred to collectively as "PEXA Group"). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice . Key Responsibilities Technical Strategy & Architecture Define and drive the engineering vision, architecture principles, and technical roadmap for PEXA UK Own product and solution architecture with focus on quality, scalability, and operational resilience in a highly integrated ecosystem Establish engineering best practices, coding standards, and architectural governance across all teams Evaluate and adopt emerging technologies and AI capabilities to maintain competitive advantage Engineering Leadership & Delivery Lead and scale engineering teams, driving delivery of complex programmes with significant business impact Build, mentor, and inspire high-performing teams, fostering innovation and continuous learning Define and drive OKRs for engineering quality, delivery velocity, and platform reliability Drive operational excellence with strong focus on SLOs and data-driven decision making People Leadership & Talent Development Hire and grow the next generation of engineering leadership through coaching and performance management Attract, retain, and develop top engineering talent, setting a high bar and leading by example Conduct effective 1:1s with direct reports, providing career guidance and actionable feedback Strategic Partnership Partner with Product, Design, and Operations to shape and deliver strategic product roadmaps Translate business requirements into technical solutions that deliver measurable customer value Manage engineering budgets, resources, and vendor relationships Essential Skills & Experience Technical Background Deep technical background with hands-on experience in backend systems, microservices, anddistributed architectures Strong full-stack foundation: .NET Core Python, Kotlin, cloud platforms (AWS, Azure),containerisation (Kubernetes, Docker) Track record of delivering high-scale, reliable, and secure platforms for enterprise customers Knowledge of modern engineering practices: TDD, DDD, CI/CD, infrastructure as code Leadership Skills Proven experience leading and scaling engineering teams in high-growth technology environments Experience leading and scaling 4-5 teams, 30-50 people, ideally including offshore partners Exceptional leadership skills to inspire and retain high-performing teams Excellent communication with ability to influence across teams and seniority levels Strategic thinker comfortable in fast-paced, ambiguous environments Nice To Have Experience in financial services, property technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering
Design and deliver production grade AI systems that power data intensive financial products for global clients-turning cutting edge LLM capabilities into reliable, scalable services that make a real impact. This role offers the opportunity to build AI solutions end to end, working with modern platforms like Databricks, Spark, and Delta Lake while shaping an internal AI platform used across the organisation. You'll work at the intersection of software engineering, data engineering, and platform architecture, integrating LLMs into real products where data quality, traceability, and explainability are essential. You'll collaborate with data, product, and platform teams, contribute to complex problem solving in a regulated environment, and grow your technical depth through meaningful ownership, continuous learning, and a supportive engineering culture. Your key responsibilities as a Senior Software Engineer - AI Solutions will include: Developing AI agents and LLM backed data pipelines in Databricks, progressing solutions from experimentation through to production. Designing, building, and maintaining scalable data and ML pipelines using Spark, Delta Lake, and modern orchestration tools. Evolving the internal AI platform to expand capabilities, reliability, and developer usability. Integrating LLMs into existing products and workflows with a focus on data quality, traceability, and explainability. Translating business requirements into robust technical solutions in partnership with data, product, and platform teams. Ensuring solutions meet performance, security, and compliance requirements expected in regulated financial environments. You will need the following experience and skills to join us as a Senior Software Engineer - AI Solutions: You have strong professional experience as a software engineer, with recent hands on work in AI/ML or data intensive systems. You are skilled in Python and TypeScript and have solid experience with distributed data processing (Spark preferred). You have proven experience building and operating data pipelines in Databricks or similar platforms. You have practical experience working with LLMs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and production integration. You demonstrate strong software engineering fundamentals-API design, testing, version control, CI/CD, and observability. FE fundinfo is a leading financial data provider, connecting the investment industry across the UK, Europe, and Asia Pacific through an integrated platform. Our skilled team empowers clients with data driven insights, making the industry Navigate Complexity with Confidence! We foster a collaborative and inclusive work environment where engineers contribute to meaningful outcomes and are encouraged to explore new tools and techniques. You can expect hybrid working options, flexible hours to support work-life balance, regular knowledge sharing sessions, and continuous learning opportunities. We value curiosity, pragmatic engineering, and teamwork-creating a space where you can grow your expertise while delivering secure, scalable solutions. Benefits: 25 days of annual leave with the option to buy an extra 5 days each year. Benefit from enhanced paternity, maternity, and shared parental leave. Secure your future with our pension scheme. Advance your career with sponsored learning and development, including formal qualifications. Private medical insurance as employee wellbeing matters Stay fit with discounted gym memberships. Take advantage of the Bike to Work scheme for eco friendly commuting. Keep your eyes sharp with eye care and flu jab services.
Feb 20, 2026
Full time
Design and deliver production grade AI systems that power data intensive financial products for global clients-turning cutting edge LLM capabilities into reliable, scalable services that make a real impact. This role offers the opportunity to build AI solutions end to end, working with modern platforms like Databricks, Spark, and Delta Lake while shaping an internal AI platform used across the organisation. You'll work at the intersection of software engineering, data engineering, and platform architecture, integrating LLMs into real products where data quality, traceability, and explainability are essential. You'll collaborate with data, product, and platform teams, contribute to complex problem solving in a regulated environment, and grow your technical depth through meaningful ownership, continuous learning, and a supportive engineering culture. Your key responsibilities as a Senior Software Engineer - AI Solutions will include: Developing AI agents and LLM backed data pipelines in Databricks, progressing solutions from experimentation through to production. Designing, building, and maintaining scalable data and ML pipelines using Spark, Delta Lake, and modern orchestration tools. Evolving the internal AI platform to expand capabilities, reliability, and developer usability. Integrating LLMs into existing products and workflows with a focus on data quality, traceability, and explainability. Translating business requirements into robust technical solutions in partnership with data, product, and platform teams. Ensuring solutions meet performance, security, and compliance requirements expected in regulated financial environments. You will need the following experience and skills to join us as a Senior Software Engineer - AI Solutions: You have strong professional experience as a software engineer, with recent hands on work in AI/ML or data intensive systems. You are skilled in Python and TypeScript and have solid experience with distributed data processing (Spark preferred). You have proven experience building and operating data pipelines in Databricks or similar platforms. You have practical experience working with LLMs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and production integration. You demonstrate strong software engineering fundamentals-API design, testing, version control, CI/CD, and observability. FE fundinfo is a leading financial data provider, connecting the investment industry across the UK, Europe, and Asia Pacific through an integrated platform. Our skilled team empowers clients with data driven insights, making the industry Navigate Complexity with Confidence! We foster a collaborative and inclusive work environment where engineers contribute to meaningful outcomes and are encouraged to explore new tools and techniques. You can expect hybrid working options, flexible hours to support work-life balance, regular knowledge sharing sessions, and continuous learning opportunities. We value curiosity, pragmatic engineering, and teamwork-creating a space where you can grow your expertise while delivering secure, scalable solutions. Benefits: 25 days of annual leave with the option to buy an extra 5 days each year. Benefit from enhanced paternity, maternity, and shared parental leave. Secure your future with our pension scheme. Advance your career with sponsored learning and development, including formal qualifications. Private medical insurance as employee wellbeing matters Stay fit with discounted gym memberships. Take advantage of the Bike to Work scheme for eco friendly commuting. Keep your eyes sharp with eye care and flu jab services.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Feb 20, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
American Express Global Business Travel
Manchester, Lancashire
A leading travel technology firm seeks a Machine Learning Engineer II to develop AI solutions for business challenges. In this role, you'll leverage machine learning techniques to analyze complex data and drive impactful insights. Ideal candidates will have over 6 years of relevant experience or 3 years with a master's, strong coding skills in Python, and familiarity with popular ML frameworks. A collaborative culture ensures your voice is valued, making it an exciting opportunity for those passionate about AI technology.
Feb 19, 2026
Full time
A leading travel technology firm seeks a Machine Learning Engineer II to develop AI solutions for business challenges. In this role, you'll leverage machine learning techniques to analyze complex data and drive impactful insights. Ideal candidates will have over 6 years of relevant experience or 3 years with a master's, strong coding skills in Python, and familiarity with popular ML frameworks. A collaborative culture ensures your voice is valued, making it an exciting opportunity for those passionate about AI technology.
Junior Data Engineer The Opportunity: Junior Data Engineer Our client has an exciting opportunity for a Junior Data Engineer to join their thriving organisation. As a Junior Data Engineer, you will primarily focus on building and maintaining their Microsoft Fabric data management platform and data pipelines. Key data sources will include internally generated structured and unstructured data, as well as external data-sources through flat-files and API connections. You will be required to work closely with the wider D&I team to ensure and enable data endpoint availability for reporting and analytical requirements. Who are they? Based in Edgbaston, Birmingham, they offer solutions to manage spend effectively and improve performance, working with both public and private healthcare and non-healthcare providers to optimise the use of products and services to identify cost saving opportunities and best value. DUTIES (included, but not limited to): Monitor and maintain Microsoft Fabric data pipelines (Dataflows, PySpark Notebooks etc.) Develop and support self-service data transformation functionality using Powerquery (M Code) Work with front-end reporting developers to provide them with cleansed and enriched data to drive their models, reports and visualisations Work with new and existing clients to ingest data into data management platform Support the Senior/Lead Data Engineer in general architecting and development of their data management platform Identify and suggest areas for improvement and automation Collaborate with the wider team and assist with any data and reporting tasks as required to move forward. KNOWLEDGE, SKILLS & ABILITIES Experience in Powerquery M Code, Excel, SQL and Python Delivering accurate work in line with requirements Good understanding of data governance and management practices Working collaboratively with colleagues and stakeholders Attention to detail and natural problem solving skills Strong verbal and written communication skills Excellent time management skills They offer core benefits such as: Pension 25 days annual leave + Bank Holidays Hybrid working (2-3 days from home a week) HTE Me Time - block up to two hours per month in your dairy as HTE Me Time to undertake activities that support your wellbeing Volunteering Leave Employees can access the following voluntary benefits and more, which are available at set times during the year: Cycle Scheme Private healthcare Gymflex Technology at home Private GP consultations Purchase up to 10 days annual leave Electric Vehicle Leasing Scheme REF-
Feb 19, 2026
Full time
Junior Data Engineer The Opportunity: Junior Data Engineer Our client has an exciting opportunity for a Junior Data Engineer to join their thriving organisation. As a Junior Data Engineer, you will primarily focus on building and maintaining their Microsoft Fabric data management platform and data pipelines. Key data sources will include internally generated structured and unstructured data, as well as external data-sources through flat-files and API connections. You will be required to work closely with the wider D&I team to ensure and enable data endpoint availability for reporting and analytical requirements. Who are they? Based in Edgbaston, Birmingham, they offer solutions to manage spend effectively and improve performance, working with both public and private healthcare and non-healthcare providers to optimise the use of products and services to identify cost saving opportunities and best value. DUTIES (included, but not limited to): Monitor and maintain Microsoft Fabric data pipelines (Dataflows, PySpark Notebooks etc.) Develop and support self-service data transformation functionality using Powerquery (M Code) Work with front-end reporting developers to provide them with cleansed and enriched data to drive their models, reports and visualisations Work with new and existing clients to ingest data into data management platform Support the Senior/Lead Data Engineer in general architecting and development of their data management platform Identify and suggest areas for improvement and automation Collaborate with the wider team and assist with any data and reporting tasks as required to move forward. KNOWLEDGE, SKILLS & ABILITIES Experience in Powerquery M Code, Excel, SQL and Python Delivering accurate work in line with requirements Good understanding of data governance and management practices Working collaboratively with colleagues and stakeholders Attention to detail and natural problem solving skills Strong verbal and written communication skills Excellent time management skills They offer core benefits such as: Pension 25 days annual leave + Bank Holidays Hybrid working (2-3 days from home a week) HTE Me Time - block up to two hours per month in your dairy as HTE Me Time to undertake activities that support your wellbeing Volunteering Leave Employees can access the following voluntary benefits and more, which are available at set times during the year: Cycle Scheme Private healthcare Gymflex Technology at home Private GP consultations Purchase up to 10 days annual leave Electric Vehicle Leasing Scheme REF-
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. The Team The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery. Responsibilities Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Ensuring good communication between sites Essential skills Verification experience in relevant industry Proven leadership and planning skills Highly motivated, a self starter, and a team player Ability to work across teams and programming languages to find root causes of deep and complex issues Experience of the verification process applied in CPU and/or ASIC environments System Verilog, Python, C++, Linux Desirable skills UVM SVA Assembly languages LLVM, GCC DVCS e.g. Git SGE or other DRMS XML and XPath/XSLT Web programming - HTML/DOM, Javascript, SQL Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Feb 19, 2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. The Team The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery. Responsibilities Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Ensuring good communication between sites Essential skills Verification experience in relevant industry Proven leadership and planning skills Highly motivated, a self starter, and a team player Ability to work across teams and programming languages to find root causes of deep and complex issues Experience of the verification process applied in CPU and/or ASIC environments System Verilog, Python, C++, Linux Desirable skills UVM SVA Assembly languages LLVM, GCC DVCS e.g. Git SGE or other DRMS XML and XPath/XSLT Web programming - HTML/DOM, Javascript, SQL Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
Feb 19, 2026
Full time
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
A leading global investment firm is seeking a Software Engineer to join its compliance division in Birmingham. The role involves software design and development, requiring proficiency in programming languages such as Java and Python, as well as knowledge in web development and NoSQL databases. Candidates should possess strong problem-solving skills and be comfortable working in a collaborative environment. This position aims to support innovative solutions that maintain the firm's competitive edge.
Feb 19, 2026
Full time
A leading global investment firm is seeking a Software Engineer to join its compliance division in Birmingham. The role involves software design and development, requiring proficiency in programming languages such as Java and Python, as well as knowledge in web development and NoSQL databases. Candidates should possess strong problem-solving skills and be comfortable working in a collaborative environment. This position aims to support innovative solutions that maintain the firm's competitive edge.
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
Feb 19, 2026
Full time
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
You think in time series, signals, and regimes. You care about insight quality, not academic purity. You want your models tested by markets, not papers. If you dislike messy data and real-world constraints, this is not your role. The Role, In Plain English You will build quantitative and ML-driven insight systems using structured time series data. This role exists to turn raw financial data into actionable investor signals. You will work closely with engineers to productionize quant logic. What You'll Be Responsible For Develop models using structured financial time series Build insight generation and scenario analysis pipelines Collaborate with backend engineers to deploy models in production Evaluate signals based on real investor outcomes Improve attribution and explainability What "Good" Looks Like in This Role After 3 months: Shipping signals used internally. After 6 months: Signals used by customers. After 12 months: You shape how quant insights are built at Reflexivity. Who You Are (Must-Haves) 5 plus years experience in quant, ML, or financial modeling Strong Python skills Startup experience on core systems Investment domain knowledge AI-assisted coding experience Nice-to-Haves (Not Deal Breakers) Prior buy-side or sell-side experience Experience with alternative data How We Work In-office team with high trust and high ownership Direct communication, minimal process, strong opinions backed by data Engineers are expected to think about product impact, not just code We move fast when it matters and slow down when correctness matters more Why This Role Is Worth Your Time Direct influence on how professional investors make decisions Hard problems at the edge of AI, data, and finance Real ownership and technical autonomy Senior peers who care about quality and outcomes Compensation & Practicalities Base salary: £110,000 to £200,000 depending on experience Equity included In-office role based in London No agency candidates £110,000-£200,000 GBP
Feb 19, 2026
Full time
You think in time series, signals, and regimes. You care about insight quality, not academic purity. You want your models tested by markets, not papers. If you dislike messy data and real-world constraints, this is not your role. The Role, In Plain English You will build quantitative and ML-driven insight systems using structured time series data. This role exists to turn raw financial data into actionable investor signals. You will work closely with engineers to productionize quant logic. What You'll Be Responsible For Develop models using structured financial time series Build insight generation and scenario analysis pipelines Collaborate with backend engineers to deploy models in production Evaluate signals based on real investor outcomes Improve attribution and explainability What "Good" Looks Like in This Role After 3 months: Shipping signals used internally. After 6 months: Signals used by customers. After 12 months: You shape how quant insights are built at Reflexivity. Who You Are (Must-Haves) 5 plus years experience in quant, ML, or financial modeling Strong Python skills Startup experience on core systems Investment domain knowledge AI-assisted coding experience Nice-to-Haves (Not Deal Breakers) Prior buy-side or sell-side experience Experience with alternative data How We Work In-office team with high trust and high ownership Direct communication, minimal process, strong opinions backed by data Engineers are expected to think about product impact, not just code We move fast when it matters and slow down when correctness matters more Why This Role Is Worth Your Time Direct influence on how professional investors make decisions Hard problems at the edge of AI, data, and finance Real ownership and technical autonomy Senior peers who care about quality and outcomes Compensation & Practicalities Base salary: £110,000 to £200,000 depending on experience Equity included In-office role based in London No agency candidates £110,000-£200,000 GBP
About The Role Hippo is recruiting a Senior Test Engineer to join our Hippo Herd. Senior Test Engineers work in multi-disciplinary teams that build, support & maintain User Centred digital solutions that offer real value and work for everyone. Hippo's Senior Test Engineers design and implement quality check procedures for our products and services. You will be responsible for analysing features, designing test parameters, creating customised quality checks and writing up final procedures. You'll also use your experience and expertise to enable our clients to continue to iterate and improve their products and services. You will drive the team's technical deliverables, maintain client relationships and be passionate about developing and upskilling others. We are looking for candidates who are looking for growth at this level (Senior), therefore the advertised salary band is the lower end of our full banding for this level of position, allowing for progression in the role. Your role in nutshell Meet with the product design team to determine testing parameters Write test plans and create test cases for the product, conducting quality assurance and design performance tests using the new testing procedures, producing test reports for internal and external stakeholders Work collaboratively with colleagues to explore, design and deliver solutions to client problems Design and manage software development and deployment pipelines resolving issues and potential bottlenecks before they occur Be a strong communicator and presenter, presenting prototypes, solutions and progress to internal/external stakeholders in a clear concise manner Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome Involved in the recruitment, on boarding and line management of other engineers, and support other consultants in their professional development Promote Hippo's Engineering Herd externally (for example through writing Blogs, Workshops, Seminars or Conferences) Skills and experience that you need Excellent verbal/written communication skills, able to articulate in both technical/non technical terms depending on audience Extensive experience in functional automation and non functional automation testing. Experience of the full testing lifecycle with a proven track record as a QA/Test Engineer Skilled in testing web and mobile applications, including accessibility, cross browser/device and usability testing Experience of using testing tools such as Selenium, Specflow, Cucumber, Gherkin Syntax, JMeter and K6 Containerisation experience - Docker or Kubernetes or similar Exposure to Python is highly desirable Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled in designing and building frameworks to test native and web applications, across a variety of scales and platform environments Infrastructure As Code - Cloudformation, Terraform or ARM or similar Expertise in public cloud (AWS or Azure) and DevOps CI/CD tools such as Jenkins, AWS CodeBuild, Azure DevOps and Atlassian Previous experience of working on GOV/NHS projects would be highly desirable What makes us great Contributory pension scheme (Hippo 6% with employee contributions of 2%) 25 days holiday plus UK public holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle to work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: private health cover private dental cover additional company pension contributions additional holidays (up to an extra 2 days) wellbeing contribution charity contributions tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo. At Hippo, we design with empathy and build for impact. We do this by combining data informed evidence, human centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. If you're looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact. Hippo locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices which will be your contracted office location. Given the dynamic nature of a consulting business, you may be required to work on site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel. Plus, we offer a generous relocation support package of up to £8k (please ask for terms and conditions) to help make your move a smooth one.
Feb 19, 2026
Full time
About The Role Hippo is recruiting a Senior Test Engineer to join our Hippo Herd. Senior Test Engineers work in multi-disciplinary teams that build, support & maintain User Centred digital solutions that offer real value and work for everyone. Hippo's Senior Test Engineers design and implement quality check procedures for our products and services. You will be responsible for analysing features, designing test parameters, creating customised quality checks and writing up final procedures. You'll also use your experience and expertise to enable our clients to continue to iterate and improve their products and services. You will drive the team's technical deliverables, maintain client relationships and be passionate about developing and upskilling others. We are looking for candidates who are looking for growth at this level (Senior), therefore the advertised salary band is the lower end of our full banding for this level of position, allowing for progression in the role. Your role in nutshell Meet with the product design team to determine testing parameters Write test plans and create test cases for the product, conducting quality assurance and design performance tests using the new testing procedures, producing test reports for internal and external stakeholders Work collaboratively with colleagues to explore, design and deliver solutions to client problems Design and manage software development and deployment pipelines resolving issues and potential bottlenecks before they occur Be a strong communicator and presenter, presenting prototypes, solutions and progress to internal/external stakeholders in a clear concise manner Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome Involved in the recruitment, on boarding and line management of other engineers, and support other consultants in their professional development Promote Hippo's Engineering Herd externally (for example through writing Blogs, Workshops, Seminars or Conferences) Skills and experience that you need Excellent verbal/written communication skills, able to articulate in both technical/non technical terms depending on audience Extensive experience in functional automation and non functional automation testing. Experience of the full testing lifecycle with a proven track record as a QA/Test Engineer Skilled in testing web and mobile applications, including accessibility, cross browser/device and usability testing Experience of using testing tools such as Selenium, Specflow, Cucumber, Gherkin Syntax, JMeter and K6 Containerisation experience - Docker or Kubernetes or similar Exposure to Python is highly desirable Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled in designing and building frameworks to test native and web applications, across a variety of scales and platform environments Infrastructure As Code - Cloudformation, Terraform or ARM or similar Expertise in public cloud (AWS or Azure) and DevOps CI/CD tools such as Jenkins, AWS CodeBuild, Azure DevOps and Atlassian Previous experience of working on GOV/NHS projects would be highly desirable What makes us great Contributory pension scheme (Hippo 6% with employee contributions of 2%) 25 days holiday plus UK public holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle to work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: private health cover private dental cover additional company pension contributions additional holidays (up to an extra 2 days) wellbeing contribution charity contributions tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo. At Hippo, we design with empathy and build for impact. We do this by combining data informed evidence, human centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. If you're looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact. Hippo locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices which will be your contracted office location. Given the dynamic nature of a consulting business, you may be required to work on site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel. Plus, we offer a generous relocation support package of up to £8k (please ask for terms and conditions) to help make your move a smooth one.
Senior Software Engineer - Sell-Side Trading Location London Business Area Engineering and CTO Ref # Description & Requirements Every day, thousands of businesses across the globe rely on Bloomberg's Sell-Side Trading Platform to support their trading activity. As part of the Trading Solutions businesses, Sell-Side delivers a global multi-asset solution for trade capture, market making, inventory management, front office collaboration, middle office operations, and electronic trading. By providing customizable workflows, extensive analytics, and high performing functionality, our tools allow users to get the information they need fast and stay one step ahead of the market. We build powerful solutions that allow traders to manage their positions, risk and P&L, make markets using our electronic trading suite of tools, and analyze their clients' behaviors to anticipate future needs. To do this, we employ a broad set of software tools and technology. This includes our award winning . What's in it for you: As Senior Software Engineer, you'll work within a team designing and implementing new features and workflows as well as improving our performance and reliability. You'll be given the opportunity to impact the entire research, development, and deployment lifecycle of the software you support, and you'll learn the sell side fixed income industry, our clients, and choose the best solution for their needs. We leverage an agile software development process as well as a continuous integration and deployment pipeline to produce high quality software quickly to production. We expect you to be creative and proactively look for the most suitable technology to solve complex problems. We'll trust you to: Design and develop software that provides our clients with high performing, scalable, and flexible workflows Work across a full software stack and be comfortable learning about and supporting different parts of the system Troubleshoot and diagnose issues quickly across a large code base and set of workflows Balance and prioritize development work to provide the most critical and useful functionality to our clients You'll need to have: 5+ years of experience programming in C++/C, Java, C#, Javascript, Typescript, or Python Strong knowledge of object oriented design, data structures, and systems and applications programming Experience building scalable, distributed systems with focus on code quality and testing Experience with CI, CD and unit testing Experience collaborating and working across team boundaries to construct comprehensive enterprise wide solutions We'd love to see: Prior experience developing trading applications, ideally in the Fixed Income domain Functional expertise building both client and server side code Enthusiasm to drive discussions, share new ideas, and promote best practices on the team 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
Feb 18, 2026
Full time
Senior Software Engineer - Sell-Side Trading Location London Business Area Engineering and CTO Ref # Description & Requirements Every day, thousands of businesses across the globe rely on Bloomberg's Sell-Side Trading Platform to support their trading activity. As part of the Trading Solutions businesses, Sell-Side delivers a global multi-asset solution for trade capture, market making, inventory management, front office collaboration, middle office operations, and electronic trading. By providing customizable workflows, extensive analytics, and high performing functionality, our tools allow users to get the information they need fast and stay one step ahead of the market. We build powerful solutions that allow traders to manage their positions, risk and P&L, make markets using our electronic trading suite of tools, and analyze their clients' behaviors to anticipate future needs. To do this, we employ a broad set of software tools and technology. This includes our award winning . What's in it for you: As Senior Software Engineer, you'll work within a team designing and implementing new features and workflows as well as improving our performance and reliability. You'll be given the opportunity to impact the entire research, development, and deployment lifecycle of the software you support, and you'll learn the sell side fixed income industry, our clients, and choose the best solution for their needs. We leverage an agile software development process as well as a continuous integration and deployment pipeline to produce high quality software quickly to production. We expect you to be creative and proactively look for the most suitable technology to solve complex problems. We'll trust you to: Design and develop software that provides our clients with high performing, scalable, and flexible workflows Work across a full software stack and be comfortable learning about and supporting different parts of the system Troubleshoot and diagnose issues quickly across a large code base and set of workflows Balance and prioritize development work to provide the most critical and useful functionality to our clients You'll need to have: 5+ years of experience programming in C++/C, Java, C#, Javascript, Typescript, or Python Strong knowledge of object oriented design, data structures, and systems and applications programming Experience building scalable, distributed systems with focus on code quality and testing Experience with CI, CD and unit testing Experience collaborating and working across team boundaries to construct comprehensive enterprise wide solutions We'd love to see: Prior experience developing trading applications, ideally in the Fixed Income domain Functional expertise building both client and server side code Enthusiasm to drive discussions, share new ideas, and promote best practices on the team 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
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Feb 18, 2026
Full time
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Associate Director - Consultancy (Data, Python, SQL) Birmingham / UK Hybrid The Opportunity We are working with a growing mid-tier consultancy that is investing heavily in its Data and Technology consulting capability. They are seeking an Associate Director to play a senior leadership role across client delivery, proposition development, and commercial growth, working closely with Partners and Directors. This Associate Director role is designed for someone who is deeply fluent in Python, Python scripting and SQL, and who continues to design, build, review and debug solutions while leading teams and clients. As an Associate Director, you will: Remain hands-on with Python, Python scripting and SQL across live client engagements Python-based analytics and automation SQL logic for complex transformations, reconciliations and controls End-to-end data flows and exception handling logic Lead delivery of technically complex programmes, staying close to the detail Act as the senior technical authority on engagements, solving problems when delivery stalls Translate audit, regulatory, deals or operational requirements into working Python and SQL solutions Lead and mentor teams through active code review, pattern setting and pairing, not abstraction Own senior client relationships while retaining technical depth and delivery accountability Technical Requirements Python & Python Scripting Controls analytics, reconciliations and anomaly detection Automation of manual and semi-automated processes Evidence generation for audit and regulatory needs SQL Complex transformation logic Financial, payments and ledger reconciliations Data quality rules, tolerances, ageing and exception management Data Engineering Cloud-based pipelines and ETL patterns Testable, auditable and monitored data models Performance, reliability and scalability considerations Leadership Expectations Lead and grow multi-disciplinary technical teams Set coding, documentation and quality standards Coach consultants and engineers in Python and SQL best practice Shape reusable assets and accelerators that improve margin and consistency Support bids and proposals with real technical input, not generic positioning What We're Looking For Senior consulting experience (Senior Manager or Associate Director) Strong, current hands-on experience in Python and SQL Confidence operating at code, architecture and executive levels simultaneously Experience delivering in regulated, audit-heavy, deals or complex environments A delivery mindset focused on working solutions, not theory Why This Role Explicitly hands-on at Associate Director level Python and SQL are core, not 'nice to have' Clear progression without stepping away from technical substance A firm that values people who can both lead and build Please send your CV to Method Resourcing for more information. RSG Plc is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
Feb 18, 2026
Full time
Associate Director - Consultancy (Data, Python, SQL) Birmingham / UK Hybrid The Opportunity We are working with a growing mid-tier consultancy that is investing heavily in its Data and Technology consulting capability. They are seeking an Associate Director to play a senior leadership role across client delivery, proposition development, and commercial growth, working closely with Partners and Directors. This Associate Director role is designed for someone who is deeply fluent in Python, Python scripting and SQL, and who continues to design, build, review and debug solutions while leading teams and clients. As an Associate Director, you will: Remain hands-on with Python, Python scripting and SQL across live client engagements Python-based analytics and automation SQL logic for complex transformations, reconciliations and controls End-to-end data flows and exception handling logic Lead delivery of technically complex programmes, staying close to the detail Act as the senior technical authority on engagements, solving problems when delivery stalls Translate audit, regulatory, deals or operational requirements into working Python and SQL solutions Lead and mentor teams through active code review, pattern setting and pairing, not abstraction Own senior client relationships while retaining technical depth and delivery accountability Technical Requirements Python & Python Scripting Controls analytics, reconciliations and anomaly detection Automation of manual and semi-automated processes Evidence generation for audit and regulatory needs SQL Complex transformation logic Financial, payments and ledger reconciliations Data quality rules, tolerances, ageing and exception management Data Engineering Cloud-based pipelines and ETL patterns Testable, auditable and monitored data models Performance, reliability and scalability considerations Leadership Expectations Lead and grow multi-disciplinary technical teams Set coding, documentation and quality standards Coach consultants and engineers in Python and SQL best practice Shape reusable assets and accelerators that improve margin and consistency Support bids and proposals with real technical input, not generic positioning What We're Looking For Senior consulting experience (Senior Manager or Associate Director) Strong, current hands-on experience in Python and SQL Confidence operating at code, architecture and executive levels simultaneously Experience delivering in regulated, audit-heavy, deals or complex environments A delivery mindset focused on working solutions, not theory Why This Role Explicitly hands-on at Associate Director level Python and SQL are core, not 'nice to have' Clear progression without stepping away from technical substance A firm that values people who can both lead and build Please send your CV to Method Resourcing for more information. RSG Plc is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
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
Feb 18, 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
About the Role: Grade Level (for internal use): 15 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long-term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, reporting and tracking its adoption. Support governance activities by maintaining accurate, up-to-date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real-time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API-led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Assets, Data and Tooling team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan . click apply for full job details
Feb 18, 2026
Full time
About the Role: Grade Level (for internal use): 15 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long-term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, reporting and tracking its adoption. Support governance activities by maintaining accurate, up-to-date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real-time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API-led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Assets, Data and Tooling team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan . click apply for full job details
