Sky's Content Technology & Innovation (CT&I) division is re-imagining how great ideas become real value delivered-especially in the day-to-day reality of media operations. To shorten the distance from concept to something on-screen, we're creating an Innovation Technologist role focused on Media Intelligence (video understanding) and Media agent build: rapidly proving how AI can understand, enrich, and automate media workflows, then continuously improving those capabilities in production-like contexts. You'll own the rapid validation pipeline-turning early-stage ideas into crisp technical requirements, shaping lean product scopes, and building hands-on prototypes (2-6 week cycles) that demonstrate real impact across content workflows (e.g., compliance, QC, metadata enrichment, highlight extraction, content discovery, and operational triage). This position is an excellent fit for a recent graduate looking to start a tech career in a brilliant media company. What you'll do: Idea to PoC Translation (Media Ops-first) Partner with Content Innovation leads, Media Operations, Editorial/Creative, and Product/Engineering stakeholders to capture napkin ideas and distil them into testable problem statements grounded in real workflows. Translate high-level goals into user journeys, user stories, acceptance criteria, and measurable PoC success metrics (accuracy, latency, cost, operator time saved, exception rate, confidence/coverage). Define the data and evaluation plan for video understanding use-cases (ground truth, sampling strategy, edge cases, failure taxonomy). Rapid Demo & PoC Delivery (Video Understanding + Agents) Design lightweight scopes centred on the single most persuasive demo that proves or disproves the riskiest assumptions. Build and iterate PoCs in 2-6 week cycles using AI video understanding techniques (multimodal models, speech-to-text, scene/shot detection, OCR, entity/event extraction, semantic search, summarisation, policy/brand checks). Develop agentic workflows that can plan, call tools, and execute multi-step media tasks (e.g., ingest analyse enrich metadata flag risks route exceptions generate operator pack). Assemble thin-slice experiences that integrate into how Media Ops actually works (queues, triage dashboards, operator review loops, audit trails). Own end-to-end delivery: hands-on coding, stitching together cloud services and off-the-shelf components. Continuous Improvement in Media Ops (From demo to durable capability) Instrument PoCs with meaningful telemetry and feedback loops (precision/recall, human override rate, time-to-resolution, drift monitoring). Drive a continuous improvement cycle: error analysis, prompt/model/tool refinement, evaluation set expansion, and operational playbooks. Design for operational realities: robustness, explainability, safety guardrails, cost controls, and graceful degradation when confidence is low. Technical Validation & Storytelling Analyse results and present evidence-based outcomes to stakeholders-what worked, what didn't, why, and what's next. Craft demo narratives that resonate with business leadership and creatives alike; ensure something is always on screen during read-outs (live demo, side-by-side comparisons, operator workflow walkthroughs). What you'll bring: Media intelligence / video understanding foundation: Experience building systems that interpret video and audio (ASR, OCR, vision-language models, content classification, event/entity extraction, semantic retrieval) and translating model outputs into usable operational signals. Agent build undestanding: Familiarity with agent patterns (tool use, planning, orchestration, memory/state, evaluation), and designing human-in-the-loop controls for reliability in operational workflows. Technical depth: Master's degree (or equivalent experience) in Computer Science, Engineering, or related field; strong grasp of GenAI stacks and cloud architectures (AWS/GCP/Azure). Full-stack bias for action: Comfortable moving from API design to UI prototypes to pipelines/DevOps to get a working demo in front of stakeholders quickly. Lean & Agile delivery: Proven use of design thinking, story mapping, Kanban/Scrum in ambiguous environments; ability to cut scope while increasing learning speed. The Rewards: There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences How you'll work: At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. The hybrid working expectations for this role are 3 days in the office per week. Your office base Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon . Inclusion: We're an equal opportunity employer and value diversity at our company. We don't discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We'll look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 02, 2026
Full time
Sky's Content Technology & Innovation (CT&I) division is re-imagining how great ideas become real value delivered-especially in the day-to-day reality of media operations. To shorten the distance from concept to something on-screen, we're creating an Innovation Technologist role focused on Media Intelligence (video understanding) and Media agent build: rapidly proving how AI can understand, enrich, and automate media workflows, then continuously improving those capabilities in production-like contexts. You'll own the rapid validation pipeline-turning early-stage ideas into crisp technical requirements, shaping lean product scopes, and building hands-on prototypes (2-6 week cycles) that demonstrate real impact across content workflows (e.g., compliance, QC, metadata enrichment, highlight extraction, content discovery, and operational triage). This position is an excellent fit for a recent graduate looking to start a tech career in a brilliant media company. What you'll do: Idea to PoC Translation (Media Ops-first) Partner with Content Innovation leads, Media Operations, Editorial/Creative, and Product/Engineering stakeholders to capture napkin ideas and distil them into testable problem statements grounded in real workflows. Translate high-level goals into user journeys, user stories, acceptance criteria, and measurable PoC success metrics (accuracy, latency, cost, operator time saved, exception rate, confidence/coverage). Define the data and evaluation plan for video understanding use-cases (ground truth, sampling strategy, edge cases, failure taxonomy). Rapid Demo & PoC Delivery (Video Understanding + Agents) Design lightweight scopes centred on the single most persuasive demo that proves or disproves the riskiest assumptions. Build and iterate PoCs in 2-6 week cycles using AI video understanding techniques (multimodal models, speech-to-text, scene/shot detection, OCR, entity/event extraction, semantic search, summarisation, policy/brand checks). Develop agentic workflows that can plan, call tools, and execute multi-step media tasks (e.g., ingest analyse enrich metadata flag risks route exceptions generate operator pack). Assemble thin-slice experiences that integrate into how Media Ops actually works (queues, triage dashboards, operator review loops, audit trails). Own end-to-end delivery: hands-on coding, stitching together cloud services and off-the-shelf components. Continuous Improvement in Media Ops (From demo to durable capability) Instrument PoCs with meaningful telemetry and feedback loops (precision/recall, human override rate, time-to-resolution, drift monitoring). Drive a continuous improvement cycle: error analysis, prompt/model/tool refinement, evaluation set expansion, and operational playbooks. Design for operational realities: robustness, explainability, safety guardrails, cost controls, and graceful degradation when confidence is low. Technical Validation & Storytelling Analyse results and present evidence-based outcomes to stakeholders-what worked, what didn't, why, and what's next. Craft demo narratives that resonate with business leadership and creatives alike; ensure something is always on screen during read-outs (live demo, side-by-side comparisons, operator workflow walkthroughs). What you'll bring: Media intelligence / video understanding foundation: Experience building systems that interpret video and audio (ASR, OCR, vision-language models, content classification, event/entity extraction, semantic retrieval) and translating model outputs into usable operational signals. Agent build undestanding: Familiarity with agent patterns (tool use, planning, orchestration, memory/state, evaluation), and designing human-in-the-loop controls for reliability in operational workflows. Technical depth: Master's degree (or equivalent experience) in Computer Science, Engineering, or related field; strong grasp of GenAI stacks and cloud architectures (AWS/GCP/Azure). Full-stack bias for action: Comfortable moving from API design to UI prototypes to pipelines/DevOps to get a working demo in front of stakeholders quickly. Lean & Agile delivery: Proven use of design thinking, story mapping, Kanban/Scrum in ambiguous environments; ability to cut scope while increasing learning speed. The Rewards: There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences How you'll work: At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. The hybrid working expectations for this role are 3 days in the office per week. Your office base Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon . Inclusion: We're an equal opportunity employer and value diversity at our company. We don't discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We'll look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Apr 02, 2026
Full time
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Apr 02, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role As an SRE Consultant (Manager) at Capgemini Invent you will be part of our Cloud Advisory capability within the wider Business Technology capability unit. Our cloud advisory capability aims to inspire, lead and support organisations on their journey of adopting cloud for creating business and revenue models, generating growth, ensuring regulatory compliance and reducing their carbon footprint. Specifically In your role you will help clients build and embed reliability as an engineering discipline, shifting from ticket led operations to measurable, product aligned service performance. You will assess and shape the operating model, ways of working, and governance required to run resilient cloud and hybrid platforms at scale, partnering with engineering, operations, security and product leaders to improve outcomes across availability, reliability, scalability and operational performance. This will include: SRE Operating Model & Ways of Working: Define and implement SRE ways of working and engagement patterns, aligning reliability practices with existing ITSM/ITIL processes (e.g., incident, problem, release and change) and modern engineering delivery. Reliability Measures (SLIs/SLOs) & Error Budgets: Establish service measures and targets (SLIs/SLOs) and introduce Error Budgets to enable data driven trade offs between reliability and delivery velocity. Observability & Operational Insight: Shape observability approaches (metrics/logs/traces) and operational monitoring models that make reliability risks visible and actionable, improving operational decision making. Incident Excellence & Continuous Learning: Design incident analysis and improvement loops, including practical approaches that strengthen incident response and drive learning through post incident improvement actions. Toil Reduction Through Engineering & Automation: Identify high friction operational work and prioritise engineering led automation to reduce manual effort, improve repeatability, and increase operational scalability. SRE Capability Assessment & Roadmaps: Assess SRE maturity/capabilities (e.g., availability, reliability, scalability, complexity and operational performance) and create a phased roadmap from assessment through recommendations and implementation. Cross discipline Enablement (DevSecOps / Platform / SRE): Improve collaboration across engineering disciplines by standardising processes and enabling platform and delivery capabilities that embed resiliency into application and infrastructure layers. Client Advisory Leadership: Lead advisory engagements, guide senior stakeholders through decisions on reliability investment, and coach teams to adopt new practices and measures sustainably (including training/enablement where needed). As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development - Training to support your career development and the skills Your Profile Extensive experience in client facing consulting and advisory roles, operating credibly with senior stakeholders and shaping complex transformation engagements. Proven ability to lead and own advisory engagements end to end, building trusted senior client relationships and actively contributing to shaping, selling, and expanding consulting work. Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Demonstrated business development capability, leveraging personal networks and firm relationships to originate, shape, and grow SRE, cloud, and operational resilience consulting opportunities. Experience working with at least one major cloud service provider (AWS, Microsoft Azure, or Google Cloud Platform), applying SRE and operating model principles in advisory, transformation, or large scale delivery contexts; associate level certifications are desirable but not mandatory. Design, establish, and evolve SRE led centres of excellence (e.g. Reliability, Observability, or Operational Excellence), setting enterprise level standards for SLIs/SLOs, incident management, observability, and continuous improvement across cloud and hybrid platforms. Exposure to modern observability tooling and ecosystems (e.g. Datadog, Dynatrace, Prometheus, OpenTelemetry, Loki), with a strong understanding of how metrics, logs, and traces are applied to inform reliability strategy, incident management, and operational decision making. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore you may be asked about your citizenship in the application process. What You'll Love About Working Here Join the close knit, rapidly growing Cloud Transformation Tribe at Capgemini Invent, where you'll play a key role in helping top organisations unlock the full potential of their cloud and infrastructure investments. As part of our team, you'll work on impactful projects that drive innovation and efficiency, collaborating closely with experts in a supportive, agile environment that values growth, learning, and teamwork. If you're excited to be part of a dynamic group making real transformations in cloud technology, Capgemini Invent is the place to grow. We provide a host of opportunities for learning and certification through internal and partner led programmes and hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients Need To Know At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. Short Description Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. Share this page with yourself or people you know Similar job opportunities If this job isn't the right fit for you, explore other opportunities! When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Apr 02, 2026
Full time
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role As an SRE Consultant (Manager) at Capgemini Invent you will be part of our Cloud Advisory capability within the wider Business Technology capability unit. Our cloud advisory capability aims to inspire, lead and support organisations on their journey of adopting cloud for creating business and revenue models, generating growth, ensuring regulatory compliance and reducing their carbon footprint. Specifically In your role you will help clients build and embed reliability as an engineering discipline, shifting from ticket led operations to measurable, product aligned service performance. You will assess and shape the operating model, ways of working, and governance required to run resilient cloud and hybrid platforms at scale, partnering with engineering, operations, security and product leaders to improve outcomes across availability, reliability, scalability and operational performance. This will include: SRE Operating Model & Ways of Working: Define and implement SRE ways of working and engagement patterns, aligning reliability practices with existing ITSM/ITIL processes (e.g., incident, problem, release and change) and modern engineering delivery. Reliability Measures (SLIs/SLOs) & Error Budgets: Establish service measures and targets (SLIs/SLOs) and introduce Error Budgets to enable data driven trade offs between reliability and delivery velocity. Observability & Operational Insight: Shape observability approaches (metrics/logs/traces) and operational monitoring models that make reliability risks visible and actionable, improving operational decision making. Incident Excellence & Continuous Learning: Design incident analysis and improvement loops, including practical approaches that strengthen incident response and drive learning through post incident improvement actions. Toil Reduction Through Engineering & Automation: Identify high friction operational work and prioritise engineering led automation to reduce manual effort, improve repeatability, and increase operational scalability. SRE Capability Assessment & Roadmaps: Assess SRE maturity/capabilities (e.g., availability, reliability, scalability, complexity and operational performance) and create a phased roadmap from assessment through recommendations and implementation. Cross discipline Enablement (DevSecOps / Platform / SRE): Improve collaboration across engineering disciplines by standardising processes and enabling platform and delivery capabilities that embed resiliency into application and infrastructure layers. Client Advisory Leadership: Lead advisory engagements, guide senior stakeholders through decisions on reliability investment, and coach teams to adopt new practices and measures sustainably (including training/enablement where needed). As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development - Training to support your career development and the skills Your Profile Extensive experience in client facing consulting and advisory roles, operating credibly with senior stakeholders and shaping complex transformation engagements. Proven ability to lead and own advisory engagements end to end, building trusted senior client relationships and actively contributing to shaping, selling, and expanding consulting work. Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Demonstrated business development capability, leveraging personal networks and firm relationships to originate, shape, and grow SRE, cloud, and operational resilience consulting opportunities. Experience working with at least one major cloud service provider (AWS, Microsoft Azure, or Google Cloud Platform), applying SRE and operating model principles in advisory, transformation, or large scale delivery contexts; associate level certifications are desirable but not mandatory. Design, establish, and evolve SRE led centres of excellence (e.g. Reliability, Observability, or Operational Excellence), setting enterprise level standards for SLIs/SLOs, incident management, observability, and continuous improvement across cloud and hybrid platforms. Exposure to modern observability tooling and ecosystems (e.g. Datadog, Dynatrace, Prometheus, OpenTelemetry, Loki), with a strong understanding of how metrics, logs, and traces are applied to inform reliability strategy, incident management, and operational decision making. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore you may be asked about your citizenship in the application process. What You'll Love About Working Here Join the close knit, rapidly growing Cloud Transformation Tribe at Capgemini Invent, where you'll play a key role in helping top organisations unlock the full potential of their cloud and infrastructure investments. As part of our team, you'll work on impactful projects that drive innovation and efficiency, collaborating closely with experts in a supportive, agile environment that values growth, learning, and teamwork. If you're excited to be part of a dynamic group making real transformations in cloud technology, Capgemini Invent is the place to grow. We provide a host of opportunities for learning and certification through internal and partner led programmes and hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients Need To Know At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. Short Description Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. Share this page with yourself or people you know Similar job opportunities If this job isn't the right fit for you, explore other opportunities! When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow . Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit . About this role: We are seeking a Director, Partnerships & Alliances to build and execute our strategic partnership strategy, driving revenue growth and market expansion. This role will own the development of key alliances with cloud providers, data platforms, system integrators, and other ecosystem players to enhance our market presence and accelerate sales. The ideal candidate must be willing to engage in all levels of work-ranging from high-level strategy and leadership to hands-on execution and operational tasks-to drive meaningful results. What you get to do: Own and implement the Partner strategy through field, rep-to-rep support as well as top-down corporate initiatives (industries, workloads) to make Astronomer a top tier self serve analytics partner of AWS, Azure, and GCP Drive major deals. You will help accelerate partner adoption within new opportunities and use case expansion. Own the day-to-day, tactical relationship to serve the needs of both partner & Astronomer Field teams with enablement sessions, collateral, and appreciation events. Build and deliver co-sell programs into the market that differentiate Astronomer to the field teams at the major cloud providers. In partnership with the Astronomer Sales Engineering team, work with Partner Sales Engineering team to develop solutions that result in technically enabling both team to reduce sales cycles. What you bring to the role: Demonstrable experience of Alliance/Partner Management with AWS, Azure, and/or GCP. Sales DNA and a deep passion for being curious - always diving deeper to uncover how we can better differentiate Astronomer to generate new opportunities. Deep professional experience focused on alliance management or equivalent experience working with major cloud vendors. Enterprise Sales Experience with technical products. Cloud Marketplace Experience. Interest in rolling up your sleeves and translating GTM strategy into execution. Working knowledge of enterprise infrastructure, cloud, and analytics space. Comfort and proficiency with building and delivering presentations. Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Bonus points if you have: Especially deep experience and relationships with Microsoft. Experience working or co-selling with IBM, Snowflake, AWS, Microsoft and GCP. Experience with or understanding of Apache Airflow or data orchestration. At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apr 01, 2026
Full time
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow . Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit . About this role: We are seeking a Director, Partnerships & Alliances to build and execute our strategic partnership strategy, driving revenue growth and market expansion. This role will own the development of key alliances with cloud providers, data platforms, system integrators, and other ecosystem players to enhance our market presence and accelerate sales. The ideal candidate must be willing to engage in all levels of work-ranging from high-level strategy and leadership to hands-on execution and operational tasks-to drive meaningful results. What you get to do: Own and implement the Partner strategy through field, rep-to-rep support as well as top-down corporate initiatives (industries, workloads) to make Astronomer a top tier self serve analytics partner of AWS, Azure, and GCP Drive major deals. You will help accelerate partner adoption within new opportunities and use case expansion. Own the day-to-day, tactical relationship to serve the needs of both partner & Astronomer Field teams with enablement sessions, collateral, and appreciation events. Build and deliver co-sell programs into the market that differentiate Astronomer to the field teams at the major cloud providers. In partnership with the Astronomer Sales Engineering team, work with Partner Sales Engineering team to develop solutions that result in technically enabling both team to reduce sales cycles. What you bring to the role: Demonstrable experience of Alliance/Partner Management with AWS, Azure, and/or GCP. Sales DNA and a deep passion for being curious - always diving deeper to uncover how we can better differentiate Astronomer to generate new opportunities. Deep professional experience focused on alliance management or equivalent experience working with major cloud vendors. Enterprise Sales Experience with technical products. Cloud Marketplace Experience. Interest in rolling up your sleeves and translating GTM strategy into execution. Working knowledge of enterprise infrastructure, cloud, and analytics space. Comfort and proficiency with building and delivering presentations. Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Bonus points if you have: Especially deep experience and relationships with Microsoft. Experience working or co-selling with IBM, Snowflake, AWS, Microsoft and GCP. Experience with or understanding of Apache Airflow or data orchestration. At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
A leading global financial services firm is seeking a Software Engineer III to join their Cloud Foundational Services team. This role involves designing and delivering innovative technology products while collaborating within an agile environment. Candidates should have proven experience in software engineering, a strong grasp of coding principles, and knowledge of cloud platforms like AWS or Azure. The ideal candidate will also engage in community events around emerging technologies.
Apr 01, 2026
Full time
A leading global financial services firm is seeking a Software Engineer III to join their Cloud Foundational Services team. This role involves designing and delivering innovative technology products while collaborating within an agile environment. Candidates should have proven experience in software engineering, a strong grasp of coding principles, and knowledge of cloud platforms like AWS or Azure. The ideal candidate will also engage in community events around emerging technologies.
Overview - Featured Role Apply direct with Data Freelance Hub This role is for a Data & AI Scientist with a long term contract in London, offering a pay rate of "unknown." Key skills include advanced Python, AgenticAI tools, and experience with LLM applications. Hybrid work model; financial industry experience preferred. We are working with a leading edge financial innovation lab shaping the future of conversational banking. As a Data & AI Scientist, you will be at the forefront of the generative revolution, building production grade agentic workflows that redefine how customers interact with global banking systems. You will leverage advanced Python engineering and multi cloud infrastructure (Azure & GCP) to transition experimental AI into high impact, autonomous customer solutions. Responsibilities Architect and deploy production ready AgenticAI solutions using Langgraph, CrewAI, and multi agent frameworks. Design and scale RAG pipelines and generative search experiences, evolving standard vector search into fully conversational interfaces. Build robust integration patterns that allow AI agents to securely trigger actions and fulfill requests across core banking systems. Develop automated evaluation frameworks and LLMOps workflows for deterministic and generative conversation monitoring at scale. Provision and manage high performance AI infrastructure across both GCP (VertexAI) and Azure environments. What You'll Need Minimum 2+ years of experience building and deploying production grade LLM applications (moving beyond Jupyter notebooks). Expert level Python literacy with deep knowledge of AgenticAI tools such as Langgraph, ADK, and CrewAI. Proven experience in AI Engineering, including RAG pipelines, Prompt Engineering, and VertexAI. Strong background in LLMOps, including runtime evaluation, monitoring, and performance tuning. Knowledge of Responsible AI practices, ethics, and the development of safety guardrails is highly desirable. What's On Offer Long term stable contract within a high impact Conversational Banking Lab. Hybrid working model (3 days in a modern London hub) offering the perfect balance of collaboration and focus. Opportunity to work with cutting edge multi cloud AI stacks across both Azure and GCP. A fast paced, Agile environment where your AI designs go straight into the hands of customers. Apply Apply via Haystack today! Freelance data hiring powered by an engaged, trusted community-not a CV database.
Apr 01, 2026
Full time
Overview - Featured Role Apply direct with Data Freelance Hub This role is for a Data & AI Scientist with a long term contract in London, offering a pay rate of "unknown." Key skills include advanced Python, AgenticAI tools, and experience with LLM applications. Hybrid work model; financial industry experience preferred. We are working with a leading edge financial innovation lab shaping the future of conversational banking. As a Data & AI Scientist, you will be at the forefront of the generative revolution, building production grade agentic workflows that redefine how customers interact with global banking systems. You will leverage advanced Python engineering and multi cloud infrastructure (Azure & GCP) to transition experimental AI into high impact, autonomous customer solutions. Responsibilities Architect and deploy production ready AgenticAI solutions using Langgraph, CrewAI, and multi agent frameworks. Design and scale RAG pipelines and generative search experiences, evolving standard vector search into fully conversational interfaces. Build robust integration patterns that allow AI agents to securely trigger actions and fulfill requests across core banking systems. Develop automated evaluation frameworks and LLMOps workflows for deterministic and generative conversation monitoring at scale. Provision and manage high performance AI infrastructure across both GCP (VertexAI) and Azure environments. What You'll Need Minimum 2+ years of experience building and deploying production grade LLM applications (moving beyond Jupyter notebooks). Expert level Python literacy with deep knowledge of AgenticAI tools such as Langgraph, ADK, and CrewAI. Proven experience in AI Engineering, including RAG pipelines, Prompt Engineering, and VertexAI. Strong background in LLMOps, including runtime evaluation, monitoring, and performance tuning. Knowledge of Responsible AI practices, ethics, and the development of safety guardrails is highly desirable. What's On Offer Long term stable contract within a high impact Conversational Banking Lab. Hybrid working model (3 days in a modern London hub) offering the perfect balance of collaboration and focus. Opportunity to work with cutting edge multi cloud AI stacks across both Azure and GCP. A fast paced, Agile environment where your AI designs go straight into the hands of customers. Apply Apply via Haystack today! Freelance data hiring powered by an engaged, trusted community-not a CV database.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Cloud Foundational Services in Infrastructure Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Required qualifications, capabilities, and skills Proven experience in software engineering Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in multiple languages with strong understanding of core development concepts including object oriented programming, data structures, algorithms, and design patterns Demonstrated experience working with cloud platforms (AWS, Azure, GCP, or private jpmc) including cloud native services, containerization (Docker, Kubernetes), and cloud infrastructure management Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Strong grasp of software engineering fundamentals including version control, testing methodologies, code review practices, and debugging techniques Preferred qualifications, capabilities, and skills Familiarity with modern front end technologies Ability to quickly adapt to and work effectively across different programming languages and technology stacks as business needs evolve Experience with Infrastructure as Code (Terraform, CloudFormation) and cloud automation tools Knowledge of microservices architecture and distributed systems design patterns Exposure to artificial intelligence, machine learning, or other emerging technologies
Apr 01, 2026
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Cloud Foundational Services in Infrastructure Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Required qualifications, capabilities, and skills Proven experience in software engineering Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in multiple languages with strong understanding of core development concepts including object oriented programming, data structures, algorithms, and design patterns Demonstrated experience working with cloud platforms (AWS, Azure, GCP, or private jpmc) including cloud native services, containerization (Docker, Kubernetes), and cloud infrastructure management Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Strong grasp of software engineering fundamentals including version control, testing methodologies, code review practices, and debugging techniques Preferred qualifications, capabilities, and skills Familiarity with modern front end technologies Ability to quickly adapt to and work effectively across different programming languages and technology stacks as business needs evolve Experience with Infrastructure as Code (Terraform, CloudFormation) and cloud automation tools Knowledge of microservices architecture and distributed systems design patterns Exposure to artificial intelligence, machine learning, or other emerging technologies
Senior Network Architect - freelance - hybrid, London, UK Contract Comgent United Kingdom Posted On 03/09/2026 Job Information Standard Business working Hours Yes Work Experience 8-10 years City London State/Province City of London N/A Special Considerations Start date: Apr/ May 2026 Location: London, UK (Hybrid - minimum 2 days per week in office) Industry: Financial Services / Banking Job Description A major banking group operating in EMEA is undergoing a significant infrastructure transformation programme, converging two separate network environments (a legacy three-tier Cisco campus network and an ACI spine-leaf fabric) alongside the integration of a European banking subsidiary. This is a hands on senior architecture role requiring both strategic thinking and the ability to roll up sleeves and engage at detailed engineering levels. Requirements Must have Deep expertise in Cisco networking: Nexus (7K, 5K, 2K, 9K), IOS, NX-OS Strong working knowledge of Cisco ACI - ability to assess hybrid/pseudo-ACI deployments and define target-state app-centric or network-centric design Expert level routing and switching: OSPF, BGP, EIGRP (including identification and remediation of misconfigurations) Data centre network design: spine leaf, three tier, convergence strategies Firewall architecture: Palo Alto (PA 40 series), Cisco ASA (legacy and migration) WAN/MPLS concepts and managed service architectures (NTT or similar providers) IP address management (IPAM) and DNS/DHCP strategies Network security design principles Familiarity with SD WAN, cloud networking (Azure, AWS), and hybrid connectivity Advantageous Cisco CCIE (Routing & Switching or Data Centre) or equivalent demonstrable expertise Experience with network automation and orchestration tooling Knowledge of co location and proximity hosting environments Understanding of financial services network requirements (trading floor, market data, payment systems) Able to operate with ambiguity - comfortable in environments without fully defined organisational structure Strong communication skills: able to articulate complex technical problems to non technical senior stakeholders Commercial awareness - understanding of total cost of ownership, vendor contracts, and infrastructure spend Collaborative and pragmatic, with the confidence to challenge incumbents and advocate for sound design principles Self starter capable of providing direction to others with limited supervision
Apr 01, 2026
Full time
Senior Network Architect - freelance - hybrid, London, UK Contract Comgent United Kingdom Posted On 03/09/2026 Job Information Standard Business working Hours Yes Work Experience 8-10 years City London State/Province City of London N/A Special Considerations Start date: Apr/ May 2026 Location: London, UK (Hybrid - minimum 2 days per week in office) Industry: Financial Services / Banking Job Description A major banking group operating in EMEA is undergoing a significant infrastructure transformation programme, converging two separate network environments (a legacy three-tier Cisco campus network and an ACI spine-leaf fabric) alongside the integration of a European banking subsidiary. This is a hands on senior architecture role requiring both strategic thinking and the ability to roll up sleeves and engage at detailed engineering levels. Requirements Must have Deep expertise in Cisco networking: Nexus (7K, 5K, 2K, 9K), IOS, NX-OS Strong working knowledge of Cisco ACI - ability to assess hybrid/pseudo-ACI deployments and define target-state app-centric or network-centric design Expert level routing and switching: OSPF, BGP, EIGRP (including identification and remediation of misconfigurations) Data centre network design: spine leaf, three tier, convergence strategies Firewall architecture: Palo Alto (PA 40 series), Cisco ASA (legacy and migration) WAN/MPLS concepts and managed service architectures (NTT or similar providers) IP address management (IPAM) and DNS/DHCP strategies Network security design principles Familiarity with SD WAN, cloud networking (Azure, AWS), and hybrid connectivity Advantageous Cisco CCIE (Routing & Switching or Data Centre) or equivalent demonstrable expertise Experience with network automation and orchestration tooling Knowledge of co location and proximity hosting environments Understanding of financial services network requirements (trading floor, market data, payment systems) Able to operate with ambiguity - comfortable in environments without fully defined organisational structure Strong communication skills: able to articulate complex technical problems to non technical senior stakeholders Commercial awareness - understanding of total cost of ownership, vendor contracts, and infrastructure spend Collaborative and pragmatic, with the confidence to challenge incumbents and advocate for sound design principles Self starter capable of providing direction to others with limited supervision
Aurora Energy Research Limited
Oxford, Oxfordshire
Internal Systems Engineering Lead Department: Internal Technology Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will join the Internal Technology team as our Internal Systems Engineering Lead (Engineering Manager) - a new and pivotal role supporting the Head of Architecture and Engineering. You will lead and develop a talented group of engineers across the Modern Workplace, Data, and System Specialist teams, ensuring that Aurora continues to deliver secure, reliable, and innovative technology solutions that empower our people and operations. You will focus on people, process, and performance - creating an environment where engineers can thrive, and delivery teams can operate effectively. Acting as a force multiplier for the Head of Architecture and Engineering, you will take ownership of line management, training, and delivery ceremonies, while collaborating on strategy and technical direction. This role will suit someone who has grown from an engineering or solutions architecture background into a leadership position, ideally with experience in the Microsoft ecosystem (M365, Azure, Exchange, Intune, SharePoint, etc) and cloud first environments. Key Responsibilities Line manage engineers across the Modern Workplace, Data, and System Specialist teams Take ownership of, run and continuously improve team ceremonies, including sprint planning, stand-ups, and retrospectives Build and maintain competency frameworks and training plans for each discipline Work closely with Head of Architecture and Engineering and lead engineers to ensure technical delivery aligns with Aurora's strategic priorities Develop and optimise delivery processes to ensure consistency, scalability, and continuous improvement, within engineering teams and in collaboration with the wider Internal Technology department Serve as a trusted point of escalation for people and performance matters Partner with the Head of Architecture and Engineering to ensure that the engineering functions operate efficiently, maintaining a strong culture of collaboration and growth alongside the wider Internal Technology department Support engineers with professional development, including coaching, mentorship, and goal setting Support engineers in the delivery of technical solutions, drawing on past hands on experience as an engineer or architect. Ensure effective and proactive escalation to the Head of Architecture and Engineering where required Skills, Knowledge and Expertise Required attributes: Excellent people leader with a proven track record leading teams and developing high performance culture Proven experience in engineering or delivery management, ideally across multiple technical disciplines Previous hands on experience as an engineer, consultant, or solutions architect Strong knowledge of Microsoft technologies, particularly M365 and Azure, to deliver internal IT capabilities Experience running agile ceremonies and improving delivery processes Excellent interpersonal skills, with the ability to coach, mentor, and resolve challenges constructively Experience implementing competency frameworks and performance metrics Highly organised, delivery-focused, and able to prioritise effectively A collaborative and positive approach to problem-solving Desirable attributes: Experience in consultancy or professional services environments Understanding of data engineering practices and business intelligence concepts Familiarity with enterprise systems such as Salesforce, SAP, or Dynamics 365 F&O Experience with utilising CI/CD patterns and DevOps tooling to orchestrate configuration across environments Experience working with Project Managers to deliver broad impact solutions What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Apr 01, 2026
Full time
Internal Systems Engineering Lead Department: Internal Technology Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will join the Internal Technology team as our Internal Systems Engineering Lead (Engineering Manager) - a new and pivotal role supporting the Head of Architecture and Engineering. You will lead and develop a talented group of engineers across the Modern Workplace, Data, and System Specialist teams, ensuring that Aurora continues to deliver secure, reliable, and innovative technology solutions that empower our people and operations. You will focus on people, process, and performance - creating an environment where engineers can thrive, and delivery teams can operate effectively. Acting as a force multiplier for the Head of Architecture and Engineering, you will take ownership of line management, training, and delivery ceremonies, while collaborating on strategy and technical direction. This role will suit someone who has grown from an engineering or solutions architecture background into a leadership position, ideally with experience in the Microsoft ecosystem (M365, Azure, Exchange, Intune, SharePoint, etc) and cloud first environments. Key Responsibilities Line manage engineers across the Modern Workplace, Data, and System Specialist teams Take ownership of, run and continuously improve team ceremonies, including sprint planning, stand-ups, and retrospectives Build and maintain competency frameworks and training plans for each discipline Work closely with Head of Architecture and Engineering and lead engineers to ensure technical delivery aligns with Aurora's strategic priorities Develop and optimise delivery processes to ensure consistency, scalability, and continuous improvement, within engineering teams and in collaboration with the wider Internal Technology department Serve as a trusted point of escalation for people and performance matters Partner with the Head of Architecture and Engineering to ensure that the engineering functions operate efficiently, maintaining a strong culture of collaboration and growth alongside the wider Internal Technology department Support engineers with professional development, including coaching, mentorship, and goal setting Support engineers in the delivery of technical solutions, drawing on past hands on experience as an engineer or architect. Ensure effective and proactive escalation to the Head of Architecture and Engineering where required Skills, Knowledge and Expertise Required attributes: Excellent people leader with a proven track record leading teams and developing high performance culture Proven experience in engineering or delivery management, ideally across multiple technical disciplines Previous hands on experience as an engineer, consultant, or solutions architect Strong knowledge of Microsoft technologies, particularly M365 and Azure, to deliver internal IT capabilities Experience running agile ceremonies and improving delivery processes Excellent interpersonal skills, with the ability to coach, mentor, and resolve challenges constructively Experience implementing competency frameworks and performance metrics Highly organised, delivery-focused, and able to prioritise effectively A collaborative and positive approach to problem-solving Desirable attributes: Experience in consultancy or professional services environments Understanding of data engineering practices and business intelligence concepts Familiarity with enterprise systems such as Salesforce, SAP, or Dynamics 365 F&O Experience with utilising CI/CD patterns and DevOps tooling to orchestrate configuration across environments Experience working with Project Managers to deliver broad impact solutions What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details
Apr 01, 2026
Full time
Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Apr 01, 2026
Full time
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
Apr 01, 2026
Full time
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
A leading technology consulting firm in the UK seeks an experienced Principal Data Engineer to shape a strategic cloud data platform. This role involves building and delivering secure data pipelines using Azure technologies like ADF and Databricks, mentoring senior engineers, and optimizing cloud costs through FinOps practices. Ideal candidates will have extensive Azure data engineering experience along with leadership skills. The position offers a hybrid working model and competitive salary up to £82,000.
Apr 01, 2026
Full time
A leading technology consulting firm in the UK seeks an experienced Principal Data Engineer to shape a strategic cloud data platform. This role involves building and delivering secure data pipelines using Azure technologies like ADF and Databricks, mentoring senior engineers, and optimizing cloud costs through FinOps practices. Ideal candidates will have extensive Azure data engineering experience along with leadership skills. The position offers a hybrid working model and competitive salary up to £82,000.
About Euphoric: Euphoric builds AI-first employee benefits administration software for the world's largest and most prestigious employers. Born out of Peppy Health - a fast-growing, category-defining Series B startup - we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3-5 trillion on benefits every year. It's their second-largest cost after payroll - yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it's been almost completely overlooked by AI-first startups. Incumbents - including one U.S. heavyweight with $2B+ in annual revenue - are constrained by archaic tech stacks and can't move fast enough to innovate. And this isn't just a massive market - it's genuine "tech for good." Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We're a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We're looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world's first lovable, AI-native benefits platform. You'll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you'll do: Build AI-first features end-to-end: You'll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You'll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You'll help push the boundary of what's feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster. Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace. Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference. Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills. Be a team player: Sometimes you'll be iterating on ML pipelines; other times you'll be refining a frontend component or fixing a tricky bug. We need someone who's excited about the full product journey and moving together as one. Skills & experience: Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organizations. Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine). Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams. Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We're a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: Thrive in fast-paced, feedback-rich environments Take your work seriously, but not yourself Be proactive, playful, and deeply curious Want to build something that matters Be willing to "do what it takes" What you'll get: Salary between £90k - £110k dependent on experience Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London) Apple devices and the best AI tooling Private healthcare via Vitality 3% employer pension contribution (min 3% employee contribution) Meaningful early-stage share opportunities 25 days holiday per year, plus bank holidays Career rocket fuel - real growth, real ownership, real impact Ready to join? Hit "apply" and tell us why.
Apr 01, 2026
Full time
About Euphoric: Euphoric builds AI-first employee benefits administration software for the world's largest and most prestigious employers. Born out of Peppy Health - a fast-growing, category-defining Series B startup - we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3-5 trillion on benefits every year. It's their second-largest cost after payroll - yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it's been almost completely overlooked by AI-first startups. Incumbents - including one U.S. heavyweight with $2B+ in annual revenue - are constrained by archaic tech stacks and can't move fast enough to innovate. And this isn't just a massive market - it's genuine "tech for good." Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We're a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We're looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world's first lovable, AI-native benefits platform. You'll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you'll do: Build AI-first features end-to-end: You'll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You'll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You'll help push the boundary of what's feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster. Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace. Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference. Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills. Be a team player: Sometimes you'll be iterating on ML pipelines; other times you'll be refining a frontend component or fixing a tricky bug. We need someone who's excited about the full product journey and moving together as one. Skills & experience: Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organizations. Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine). Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams. Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We're a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: Thrive in fast-paced, feedback-rich environments Take your work seriously, but not yourself Be proactive, playful, and deeply curious Want to build something that matters Be willing to "do what it takes" What you'll get: Salary between £90k - £110k dependent on experience Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London) Apple devices and the best AI tooling Private healthcare via Vitality 3% employer pension contribution (min 3% employee contribution) Meaningful early-stage share opportunities 25 days holiday per year, plus bank holidays Career rocket fuel - real growth, real ownership, real impact Ready to join? Hit "apply" and tell us why.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 01, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast paced, and you'll be expected to own problems end to end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do Implement and maintain security controls across multi cloud environments (primarily AWS and Azure, with some GCP and AliCloud) and on prem infrastructure Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical Design and operate key management and custody security cont Implement risk monitoring tools that provide actionable insights across the organization Conduct security reviews of cloud architecture and microservices Collaborate closely with product, technology, and risk teams to align on security strategy Develop and maintain security automation pipelines to streamline security tasks Continuously evaluate and evolve our security posture in a rapidly changing environment Please mention the word FEARLESS and tag RMjYwMDoxOTAwOjA6MmQwOTo6MTQwMA when applying to show you read the job post completely ( ). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job Tags security design technical cloud strategy management senior engineer engineering digital nomad
Apr 01, 2026
Full time
About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast paced, and you'll be expected to own problems end to end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do Implement and maintain security controls across multi cloud environments (primarily AWS and Azure, with some GCP and AliCloud) and on prem infrastructure Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical Design and operate key management and custody security cont Implement risk monitoring tools that provide actionable insights across the organization Conduct security reviews of cloud architecture and microservices Collaborate closely with product, technology, and risk teams to align on security strategy Develop and maintain security automation pipelines to streamline security tasks Continuously evaluate and evolve our security posture in a rapidly changing environment Please mention the word FEARLESS and tag RMjYwMDoxOTAwOjA6MmQwOTo6MTQwMA when applying to show you read the job post completely ( ). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job Tags security design technical cloud strategy management senior engineer engineering digital nomad
A technology firm is seeking a Principle Site Reliability Engineer to build and maintain large-scale distributed systems. Candidates should have strong proficiency in programming languages like Golang, Java, or Python, and extensive experience with cloud infrastructure such as AWS, Azure, or GCP. The role is contract-based and offers competitive benefits, which will be disclosed during the interview process. This position is located in Wokingham, United Kingdom.
Apr 01, 2026
Full time
A technology firm is seeking a Principle Site Reliability Engineer to build and maintain large-scale distributed systems. Candidates should have strong proficiency in programming languages like Golang, Java, or Python, and extensive experience with cloud infrastructure such as AWS, Azure, or GCP. The role is contract-based and offers competitive benefits, which will be disclosed during the interview process. This position is located in Wokingham, United Kingdom.
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The Opportunity We're looking for a highly analytical and technically proficient Product Analyst to join our team. You will play a crucial role in driving the success of our Logistics product improvements and advancing our logistics-wide experimentation efforts. The ideal candidate has a strong background in data analysis, a passion to improve data driven product improvements and a proven ability to translate complex data into actionable product insights. This role requires hands on expertise with various data tools and a solid understanding of data pipelines. Please note: This is a 12 month Fixed Term Contract These are some of the key ingredients to the role: Product Performance Analysis Support analytics Define, monitor, and report on key product metrics to assess product health and impact of releases. Experimentation Design, set up, and analyze product experiments across various features and product surfaces. Develop hypotheses, determine appropriate statistical methodologies, and clearly communicate the results and recommendations to product managers and stakeholders. Data Manipulation & Reporting Write, optimize, and execute complex SQL queries to extract and manipulate data from large, disparate databases. Utilize Python (e.g., pandas, NumPy, statistical libraries) for advanced data cleaning, statistical modeling, and analysis as needed. Develop and maintain dynamic dashboards and reports using data visualization tools like Looker and Tableau to monitor business and product performance in real-time. Data Infrastructure & ETL Demonstrate hands on experience and comfort with understanding, troubleshooting, and occasionally contributing to ETL pipelines to ensure data quality, consistency, and availability for analysis. Collaborate with Backend and Data Engineering teams to define necessary tracking and logging for new features. Strategic Insight Partner closely with Product Managers, Engineers, Data Scientist and UX/UI Designers to influence the product roadmap based on quantitative data and analytical insights. Present findings, insights, and recommendations clearly. What will you bring to the table? Strong experience as a Product Analyst or data analytics Expert level proficiency in SQL for querying, aggregating, and analyzing large datasets. Prefer hands on experience with Python for data analysis, including statistical packages. Proven background in experimentation not just limited to A/B testing but also other techniques including hypothesis formulation, sample size calculation, statistical significance, and interpretation of results. Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) and distributed processing frameworks. Proficiency in creating and managing dashboards, reports, and data models using Looker and/or Tableau. Familiarity and comfort with ETL processes and data warehousing concepts (e.g., how data flows, where to access reliable data). Excellent communication skills with the ability to clearly articulate complex analysis and trade offs. At JET, this is on the menu: Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Apr 01, 2026
Full time
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The Opportunity We're looking for a highly analytical and technically proficient Product Analyst to join our team. You will play a crucial role in driving the success of our Logistics product improvements and advancing our logistics-wide experimentation efforts. The ideal candidate has a strong background in data analysis, a passion to improve data driven product improvements and a proven ability to translate complex data into actionable product insights. This role requires hands on expertise with various data tools and a solid understanding of data pipelines. Please note: This is a 12 month Fixed Term Contract These are some of the key ingredients to the role: Product Performance Analysis Support analytics Define, monitor, and report on key product metrics to assess product health and impact of releases. Experimentation Design, set up, and analyze product experiments across various features and product surfaces. Develop hypotheses, determine appropriate statistical methodologies, and clearly communicate the results and recommendations to product managers and stakeholders. Data Manipulation & Reporting Write, optimize, and execute complex SQL queries to extract and manipulate data from large, disparate databases. Utilize Python (e.g., pandas, NumPy, statistical libraries) for advanced data cleaning, statistical modeling, and analysis as needed. Develop and maintain dynamic dashboards and reports using data visualization tools like Looker and Tableau to monitor business and product performance in real-time. Data Infrastructure & ETL Demonstrate hands on experience and comfort with understanding, troubleshooting, and occasionally contributing to ETL pipelines to ensure data quality, consistency, and availability for analysis. Collaborate with Backend and Data Engineering teams to define necessary tracking and logging for new features. Strategic Insight Partner closely with Product Managers, Engineers, Data Scientist and UX/UI Designers to influence the product roadmap based on quantitative data and analytical insights. Present findings, insights, and recommendations clearly. What will you bring to the table? Strong experience as a Product Analyst or data analytics Expert level proficiency in SQL for querying, aggregating, and analyzing large datasets. Prefer hands on experience with Python for data analysis, including statistical packages. Proven background in experimentation not just limited to A/B testing but also other techniques including hypothesis formulation, sample size calculation, statistical significance, and interpretation of results. Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) and distributed processing frameworks. Proficiency in creating and managing dashboards, reports, and data models using Looker and/or Tableau. Familiarity and comfort with ETL processes and data warehousing concepts (e.g., how data flows, where to access reliable data). Excellent communication skills with the ability to clearly articulate complex analysis and trade offs. At JET, this is on the menu: Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Principal Data Engineer - Leeds (Hybrid) Are you a data leader who wants to shape the future of a modern cloud data platform? We're looking for a Principal Data Engineer to drive technical direction, uplift engineering standards, and deliver high quality Azure data solutions that make a real impact. The Role Build and deliver secure, scalable data pipelines using Azure (ADF, Databricks, Lakehouse). Lead engineering standards and mentor senior engineers. Turn complex requirements into automated, efficient data solutions. Influence platform strategy, remove blockers, and ensure strong governance. Optimise cloud costs through FinOps practices. Identify opportunities to integrate AI/ML into data workflows. What You'll Bring Extensive experience building data engineering solutions on Azure. Strong hands on skills in ADF, Databricks, Python, T SQL and PySpark. Proven leadership and mentoring experience. Solid understanding of data governance and security tooling (Purview / Unity Catalog). Bonus: experience with CI/CD, automation, containerisation or Azure certifications. Why Apply? This is an exciting opportunity to shape a strategic cloud data platform, influence engineering direction, and work with modern technologies in a forward thinking environment that encourages innovation and continuous improvement, all with the support of a hybrid working model and great benefits. Salary: up to £82,000 Interested? Get in touch to learn more.
Apr 01, 2026
Full time
Principal Data Engineer - Leeds (Hybrid) Are you a data leader who wants to shape the future of a modern cloud data platform? We're looking for a Principal Data Engineer to drive technical direction, uplift engineering standards, and deliver high quality Azure data solutions that make a real impact. The Role Build and deliver secure, scalable data pipelines using Azure (ADF, Databricks, Lakehouse). Lead engineering standards and mentor senior engineers. Turn complex requirements into automated, efficient data solutions. Influence platform strategy, remove blockers, and ensure strong governance. Optimise cloud costs through FinOps practices. Identify opportunities to integrate AI/ML into data workflows. What You'll Bring Extensive experience building data engineering solutions on Azure. Strong hands on skills in ADF, Databricks, Python, T SQL and PySpark. Proven leadership and mentoring experience. Solid understanding of data governance and security tooling (Purview / Unity Catalog). Bonus: experience with CI/CD, automation, containerisation or Azure certifications. Why Apply? This is an exciting opportunity to shape a strategic cloud data platform, influence engineering direction, and work with modern technologies in a forward thinking environment that encourages innovation and continuous improvement, all with the support of a hybrid working model and great benefits. Salary: up to £82,000 Interested? Get in touch to learn more.
