Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
09/06/2026
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
A leading data platform company in Edinburgh seeks a Senior Data Engineer to design and implement data ingestion and ETL pipelines. The role requires strong SQL and Python skills, along with 5+ years of experience in delivering scalable data platforms. Responsibilities include optimizing data workflows and collaborating with teams to deliver insightful data-driven solutions. The company offers a competitive salary and a flexible working environment.
09/06/2026
Full time
A leading data platform company in Edinburgh seeks a Senior Data Engineer to design and implement data ingestion and ETL pipelines. The role requires strong SQL and Python skills, along with 5+ years of experience in delivering scalable data platforms. Responsibilities include optimizing data workflows and collaborating with teams to deliver insightful data-driven solutions. The company offers a competitive salary and a flexible working environment.
The first few years of your engineering career shape how you think for the rest of it. We want juniors who are curious, who pick things up fast, and who take that early learning seriously. You'll join a squad working on real production code from day one, with senior engineers around you whose job includes growing you. AI is reshaping how all of us write software, and you'll learn that on the job, alongside the fundamentals. This is an IC role with a clear path forward, and we invest in that path. What you'll do Build foundational skills on real production work. Well defined tasks with senior engineers supervising. The work is small in scope but real, and your code ships and serves customers. Learn the craft deliberately. Code review feedback, pairing, documentation, tests. These are the fundamentals that compound, and we protect time for them. Use the tools well. Source control, your dev environment, CI, observability, and AI tooling, which we treat as part of the workflow. Try things and bring back what you find. Communicate clearly. Tell your team what you're working on, why, how it's going, and where you're stuck. Asking for help is part of the job. Improve the docs. Whenever something tripped you up, write the explanation that would have helped. The codebase improves, and so do you. The shape we're hiring for For juniors, we hire for shape more than experience. Curiosity. You're interested in how systems work, why decisions were made, and what you don't yet understand. Learning velocity. You pick things up fast from pairing, code review, docs, AI tools, and conversations. You don't wait for someone to teach you. Emerging ownership. You complete what you start, ask when stuck, and take responsibility for your share of the work. Clear communication. You say what's going well, what isn't, and what you need. Change disposition. You enjoy that the work is changing fast. That's part of the appeal. You might be a strong fit if You're at the start of your career: an internship, bootcamp, computer science degree, self taught with a portfolio, or early in your first role. You can write code in at least one mainstream language (Python, TypeScript, Java, Go). Not yet expertly, but clearly enough to do the job. You've used Git, written tests, and shipped something: a personal project, course work, or an internship. You're comfortable using AI tooling in your workflow, and you treat it as a way to learn faster rather than a shortcut to think less. You enjoy explaining what you've learned, even imperfectly, because that's how it sticks. You might be a less good fit if You're looking for a place that hands you fully specified tasks and expects nothing else. You'd rather not have feedback on your work, or you find pair programming uncomfortable on principle. You'd prefer to work alone with code and not interact much with people. You'd rather not use AI tooling, or you treat it as a workaround for learning the fundamentals rather than a way to learn them faster. You're looking for a fast track to management. This role is about technical growth. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi tenant SaaS platform with API first surfaces, where security, privacy, and compliance are first class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end to end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform, and we'll keep them well tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know any of these on day one. You should be ready to learn the ones you don't. Working for Opus 2 A real engineering role at a growing company where AI is in production and shapes how software gets built. Not a junior slot doing make work. Investment in your growth: protected coaching time on senior engineers' calendars, code review that grows you, and exposure to challenging problems matched to your level. A clear path forward, with someone whose job it is to help you get there. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
09/06/2026
Full time
The first few years of your engineering career shape how you think for the rest of it. We want juniors who are curious, who pick things up fast, and who take that early learning seriously. You'll join a squad working on real production code from day one, with senior engineers around you whose job includes growing you. AI is reshaping how all of us write software, and you'll learn that on the job, alongside the fundamentals. This is an IC role with a clear path forward, and we invest in that path. What you'll do Build foundational skills on real production work. Well defined tasks with senior engineers supervising. The work is small in scope but real, and your code ships and serves customers. Learn the craft deliberately. Code review feedback, pairing, documentation, tests. These are the fundamentals that compound, and we protect time for them. Use the tools well. Source control, your dev environment, CI, observability, and AI tooling, which we treat as part of the workflow. Try things and bring back what you find. Communicate clearly. Tell your team what you're working on, why, how it's going, and where you're stuck. Asking for help is part of the job. Improve the docs. Whenever something tripped you up, write the explanation that would have helped. The codebase improves, and so do you. The shape we're hiring for For juniors, we hire for shape more than experience. Curiosity. You're interested in how systems work, why decisions were made, and what you don't yet understand. Learning velocity. You pick things up fast from pairing, code review, docs, AI tools, and conversations. You don't wait for someone to teach you. Emerging ownership. You complete what you start, ask when stuck, and take responsibility for your share of the work. Clear communication. You say what's going well, what isn't, and what you need. Change disposition. You enjoy that the work is changing fast. That's part of the appeal. You might be a strong fit if You're at the start of your career: an internship, bootcamp, computer science degree, self taught with a portfolio, or early in your first role. You can write code in at least one mainstream language (Python, TypeScript, Java, Go). Not yet expertly, but clearly enough to do the job. You've used Git, written tests, and shipped something: a personal project, course work, or an internship. You're comfortable using AI tooling in your workflow, and you treat it as a way to learn faster rather than a shortcut to think less. You enjoy explaining what you've learned, even imperfectly, because that's how it sticks. You might be a less good fit if You're looking for a place that hands you fully specified tasks and expects nothing else. You'd rather not have feedback on your work, or you find pair programming uncomfortable on principle. You'd prefer to work alone with code and not interact much with people. You'd rather not use AI tooling, or you treat it as a workaround for learning the fundamentals rather than a way to learn them faster. You're looking for a fast track to management. This role is about technical growth. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi tenant SaaS platform with API first surfaces, where security, privacy, and compliance are first class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end to end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform, and we'll keep them well tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know any of these on day one. You should be ready to learn the ones you don't. Working for Opus 2 A real engineering role at a growing company where AI is in production and shapes how software gets built. Not a junior slot doing make work. Investment in your growth: protected coaching time on senior engineers' calendars, code review that grows you, and exposure to challenging problems matched to your level. A clear path forward, with someone whose job it is to help you get there. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
Cohere is looking for a Member of Technical Staff to design and implement cutting-edge AI systems. You will work with an inclusive team passionate about advancing AI capabilities, including building state-of-the-art models and connecting with academia. This role requires proficiency in Python and substantial software engineering skills. Candidates will contribute to research and development in AI, with opportunities to collaborate closely with industry leaders. Cohere offers a diverse and flexible work environment with excellent benefits including health coverage and generous vacation time.
09/06/2026
Full time
Cohere is looking for a Member of Technical Staff to design and implement cutting-edge AI systems. You will work with an inclusive team passionate about advancing AI capabilities, including building state-of-the-art models and connecting with academia. This role requires proficiency in Python and substantial software engineering skills. Candidates will contribute to research and development in AI, with opportunities to collaborate closely with industry leaders. Cohere offers a diverse and flexible work environment with excellent benefits including health coverage and generous vacation time.
Why we need this role This is an opportunity to meaningfully contribute to a highly visible security operations function with global impact upon Colt, business units, partners, and customers. While working as part of this team, the successful individual will provide world class incident response functions to detect, protect, respond, and sustain operations within cyberspace. This role operates at a Tier 3 level, with the expectation that the individual has undeniable experience handling major and complex cyber incidents, independently leading and managing incidents end to end, delivering clear and effective stakeholder communication, and mentoring other members of the SOC team. What you will do Support SOC Manager to deliver SIEM, IR tools platform management including all design, implementation and administration activities Use cases preparation and implementation, connector deployment, maintenance & health checks Responsible for operational activities, technology escalation support, security solution assessment, existing service maturing and build activities assist Analyse potential infrastructure security incidents to determine if incident qualifies as a legitimate security breach Establishing and governing the security incident response processes, investigations and security operational processes Maintenance and enhancement of formal service catalogue, service descriptions, targets and performance against these Ensure security services, tools and platforms are adequately maintained Monitoring of and reporting on the effectiveness of our security enforcing technologies. Identification and ongoing monitoring of specific security risks and KPIs and production of management information to ensure Colt receives value from key security investments/services Contribute to design, development and maintenance of security standards and controls Align team's goals and plan with Colt's long term priorities and strategy Develop and grow the talent and people capability within the security teams Key performance indicators Takes ownership for understanding what is expected of them / their team and ensures it is delivered Proactively requests Leadership for views and opinions; using this feedback to improve personal performance Reviews working methods regularly to identify ways of improving service delivery - makes recommendations on what improvement can be made and owns delivery of agreed action plan and outcomes Understands cultural differences and utilises this understanding to build rapport across different teams in order to obtain the necessary cooperation. What we're looking for Information Security Incident Response experience with a focus on detection and response to malicious activity using log data from various sources preferred Strong Networking and Systems experience, preferably in an Enterprise environment Strong understanding of Information Security and the threat landscape surrounding enterprise systems Strong Scripting experience (Python, PowerShell, Unix shell) Experience working in all phases of the SDLC Deep understanding and experience using cyber security operations, security monitoring, endpoint (EDR), Network, and SIEM tools Extensive knowledge of network and server security protocols, technologies, and products Industry recognized certifications (CISSP, GCIH, GCFA, OSCP, etc) preferred Strong oral and written communication skills Relentless curiosity and attention to detail Ability to learn quickly and leverage prior experiences to effectively solve current security challenges Refusing to accept the status quo Qualifications Combination of the following: Degree in Information Technology, Engineering or similar SIEM management - Desirable to have some advanced certification from SIEM vendor on products such as ArcSight, MS Sentinel or LogRhythm What we offer you: Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. Job Segment: Information Security, Cyber Security, Data Center, Work from Home, Unix, Technology, Contract, Security
09/06/2026
Full time
Why we need this role This is an opportunity to meaningfully contribute to a highly visible security operations function with global impact upon Colt, business units, partners, and customers. While working as part of this team, the successful individual will provide world class incident response functions to detect, protect, respond, and sustain operations within cyberspace. This role operates at a Tier 3 level, with the expectation that the individual has undeniable experience handling major and complex cyber incidents, independently leading and managing incidents end to end, delivering clear and effective stakeholder communication, and mentoring other members of the SOC team. What you will do Support SOC Manager to deliver SIEM, IR tools platform management including all design, implementation and administration activities Use cases preparation and implementation, connector deployment, maintenance & health checks Responsible for operational activities, technology escalation support, security solution assessment, existing service maturing and build activities assist Analyse potential infrastructure security incidents to determine if incident qualifies as a legitimate security breach Establishing and governing the security incident response processes, investigations and security operational processes Maintenance and enhancement of formal service catalogue, service descriptions, targets and performance against these Ensure security services, tools and platforms are adequately maintained Monitoring of and reporting on the effectiveness of our security enforcing technologies. Identification and ongoing monitoring of specific security risks and KPIs and production of management information to ensure Colt receives value from key security investments/services Contribute to design, development and maintenance of security standards and controls Align team's goals and plan with Colt's long term priorities and strategy Develop and grow the talent and people capability within the security teams Key performance indicators Takes ownership for understanding what is expected of them / their team and ensures it is delivered Proactively requests Leadership for views and opinions; using this feedback to improve personal performance Reviews working methods regularly to identify ways of improving service delivery - makes recommendations on what improvement can be made and owns delivery of agreed action plan and outcomes Understands cultural differences and utilises this understanding to build rapport across different teams in order to obtain the necessary cooperation. What we're looking for Information Security Incident Response experience with a focus on detection and response to malicious activity using log data from various sources preferred Strong Networking and Systems experience, preferably in an Enterprise environment Strong understanding of Information Security and the threat landscape surrounding enterprise systems Strong Scripting experience (Python, PowerShell, Unix shell) Experience working in all phases of the SDLC Deep understanding and experience using cyber security operations, security monitoring, endpoint (EDR), Network, and SIEM tools Extensive knowledge of network and server security protocols, technologies, and products Industry recognized certifications (CISSP, GCIH, GCFA, OSCP, etc) preferred Strong oral and written communication skills Relentless curiosity and attention to detail Ability to learn quickly and leverage prior experiences to effectively solve current security challenges Refusing to accept the status quo Qualifications Combination of the following: Degree in Information Technology, Engineering or similar SIEM management - Desirable to have some advanced certification from SIEM vendor on products such as ArcSight, MS Sentinel or LogRhythm What we offer you: Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. Job Segment: Information Security, Cyber Security, Data Center, Work from Home, Unix, Technology, Contract, Security
Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the next phase of consolidation and growth. About the Role We are looking for an experienced Engineering Manager to join our London-based data team and help us (re-)build a platform that accelerates a decentralised-by-design data adoption model within the business. We care about providing trustable, usable data that meets business needs. We want you to create and lead a high-performing team that delivers on this mission. Whilst this is not a role that requires hands on software development, we are looking for an experienced manager who has a strong delivery and technical background. You've been a software or data engineer in the past and now thrive in building and connecting technical teams to business outcomes. Your Daily Adventure at Storio Primary Responsibilities include People Management Lead a cross functional mission led team of 5-8 data engineers and analytics of mixed seniority. Coach individuals to grow their career, increase mastery and autonomy whilst holding them accountable for high performance. Own the recruitment process for your team. Accountable for team health, fostering an open and collaborative feedback culture. Delivery/Execution Partner with a Product Manager to define initiatives aligned with our OKRs and strategy, scope projects and define milestones. Communicate with key stakeholders at all levels. Accountable for delivery performance of the team. Accountable for team processes and ways of working. Drive continuous improvement on key metrics such as business value, cost efficiency, speed, and quality of delivery. Own resolution of cross team dependencies. Technical excellence Oversee design decisions owned by the principal engineer of the team and domain. Cultivate best engineering practices within the software development lifecycle. Balance tech health and quality excellence with time to delivery. Create opportunities for technical exploration and innovation within your team. Cross team leadership Influence decision making across the technical organisation as part of a wider community of engineering managers and technical leaders. Establish partnerships within and outside the domain to amplify the impact of your team. Lead in domain standardisation efforts on people, process and technology. Own your team's people and tech budgets in relation to the value created by the team within the business. Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions / Jenkins What You Bring to the Party Solid track record of building and leading high performance data and analytics engineering teams. Experience in navigating a complex enterprise wide customer landscape with competing priorities. Experience in building platforms as a product through agile delivery methods and in lockstep with product managers, senior engineers and data governance leads. Experience guiding teams to make significant technical data and analytics engineering decisions spanning source data ingest to consumption. Excellent communication skills, making complex topics simple, transparent and easy to act upon. Prior experience as a senior software or data engineer. A degree in a STEM field, e.g. Computer Science, Software Engineering, Mathematics. Knowledge of the ecommerce domain. Understanding of data architecture paradigms and their applicability to business needs. Sounds exciting? Apply now with your resume and cover letter!
09/06/2026
Full time
Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the next phase of consolidation and growth. About the Role We are looking for an experienced Engineering Manager to join our London-based data team and help us (re-)build a platform that accelerates a decentralised-by-design data adoption model within the business. We care about providing trustable, usable data that meets business needs. We want you to create and lead a high-performing team that delivers on this mission. Whilst this is not a role that requires hands on software development, we are looking for an experienced manager who has a strong delivery and technical background. You've been a software or data engineer in the past and now thrive in building and connecting technical teams to business outcomes. Your Daily Adventure at Storio Primary Responsibilities include People Management Lead a cross functional mission led team of 5-8 data engineers and analytics of mixed seniority. Coach individuals to grow their career, increase mastery and autonomy whilst holding them accountable for high performance. Own the recruitment process for your team. Accountable for team health, fostering an open and collaborative feedback culture. Delivery/Execution Partner with a Product Manager to define initiatives aligned with our OKRs and strategy, scope projects and define milestones. Communicate with key stakeholders at all levels. Accountable for delivery performance of the team. Accountable for team processes and ways of working. Drive continuous improvement on key metrics such as business value, cost efficiency, speed, and quality of delivery. Own resolution of cross team dependencies. Technical excellence Oversee design decisions owned by the principal engineer of the team and domain. Cultivate best engineering practices within the software development lifecycle. Balance tech health and quality excellence with time to delivery. Create opportunities for technical exploration and innovation within your team. Cross team leadership Influence decision making across the technical organisation as part of a wider community of engineering managers and technical leaders. Establish partnerships within and outside the domain to amplify the impact of your team. Lead in domain standardisation efforts on people, process and technology. Own your team's people and tech budgets in relation to the value created by the team within the business. Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions / Jenkins What You Bring to the Party Solid track record of building and leading high performance data and analytics engineering teams. Experience in navigating a complex enterprise wide customer landscape with competing priorities. Experience in building platforms as a product through agile delivery methods and in lockstep with product managers, senior engineers and data governance leads. Experience guiding teams to make significant technical data and analytics engineering decisions spanning source data ingest to consumption. Excellent communication skills, making complex topics simple, transparent and easy to act upon. Prior experience as a senior software or data engineer. A degree in a STEM field, e.g. Computer Science, Software Engineering, Mathematics. Knowledge of the ecommerce domain. Understanding of data architecture paradigms and their applicability to business needs. Sounds exciting? Apply now with your resume and cover letter!
Learn how to become a Business Intelligence (BI) Professional with training in Power BI, SQL, Excel, Python, data modelling, dashboards, reporting, and business analytics. Explore BI career opportunities and learning pathways. A Business Intelligence (BI) Professional transforms raw business data into meaningful insights that help organisations make informed decisions, improve performance, and identify new opportunities. BI professionals bridge the gap between business operations and data by collecting, analysing, modelling, and visualising information through reports, dashboards, and analytical solutions. The London Academy of IT BI Professional Career Path is designed to help learners develop practical business intelligence skills using industry-standard tools including Microsoft Excel, SQL, Microsoft Power BI, Python, DAX, Power Query, and Data Modelling. This pathway combines technical data skills with business-focused analytical thinking. Learners progress from data preparation and database querying to designing interactive dashboards, developing performance reports, creating KPIs, and delivering actionable business insights. As organisations become increasingly data-driven, the demand for professionals who can turn complex data into clear business intelligence continues to grow. BI professionals are highly valued across industries including finance, healthcare, retail, manufacturing, logistics, telecommunications, government, education, and consulting. This career path is suitable for aspiring Business Intelligence Analysts, BI Developers, Reporting Analysts, Data Analysts, Power BI Developers, and professionals looking to build a career in data-driven decision-making. Recommended Learning Pathway Complete these milestone training steps sequentially to achieve full proficiency: This career path is suitable for beginners, data professionals, business analysts, and career changers who want to build expertise in business intelligence and analytics. While no previous BI experience is required, an interest in data, problem-solving, and business processes will help learners progress more quickly. To establish professional-grade technical authority as a BI Professional, you should develop comprehensive skills in: Microsoft Excel for data organisation, analysis, reporting, and business calculations SQL for querying, extracting, and managing data from relational databases Power BI for creating dashboards, reports, KPIs, and interactive visualisations Data modelling techniques including relationships, star schemas, and dimensional modelling DAX (Data Analysis Expressions) for advanced calculations and business metrics Power Query for data cleansing, transformation, and automation Python, Pandas, and analytical tools for advanced reporting and automation workflows Business performance analysis, trend identification, forecasting, and stakeholder reporting Day-to-Day Responsibilities BI Professionals work with data from multiple business systems to create meaningful reports, dashboards, and insights that support strategic and operational decision-making. Collecting, integrating, and validating data from multiple sources Writing SQL queries to extract and analyse business data Designing and maintaining Power BI dashboards and reports Creating KPIs, scorecards, and executive reporting solutions Building and managing data models to support analytical reporting Identifying business trends, risks, and performance improvement opportunities Collaborating with managers, stakeholders, and technical teams to define reporting requirements Automating reporting processes and improving data accessibility across the organisation Presenting analytical findings and recommendations to business decision-makers Market Opportunities & Career Landscape Business Intelligence has become a critical function within modern organisations. Companies increasingly rely on dashboards, performance metrics, and real-time analytics to support decision-making, optimise operations, improve customer experiences, and drive business growth. The widespread adoption of cloud analytics platforms, self-service reporting tools, and enterprise data strategies has created strong demand for professionals who can combine technical data skills with business understanding. Organisations are actively seeking BI professionals who can transform large volumes of data into actionable insights that influence strategic decisions. Business Intelligence skills are transferable across virtually every industry, including finance, healthcare, retail, manufacturing, logistics, government, technology, telecommunications, and consulting. The growing demand for data-driven decision-making continues to create excellent career opportunities for both entry-level and experienced professionals. Business Intelligence skills are transferable across virtually every industry, includingfinance, healthcare, retail, manufacturing, logistics, government, technology, telecommunications, and consulting. The growing demand for data-driven decision-making continues to create excellent career opportunities for both entry-level and experienced professionals. This pathway also provides a strong foundation for progression into advanced careers such as Data Science, Analytics Engineering, Data Engineering, AI Analytics, and Business Intelligence Leadership roles. At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.
09/06/2026
Full time
Learn how to become a Business Intelligence (BI) Professional with training in Power BI, SQL, Excel, Python, data modelling, dashboards, reporting, and business analytics. Explore BI career opportunities and learning pathways. A Business Intelligence (BI) Professional transforms raw business data into meaningful insights that help organisations make informed decisions, improve performance, and identify new opportunities. BI professionals bridge the gap between business operations and data by collecting, analysing, modelling, and visualising information through reports, dashboards, and analytical solutions. The London Academy of IT BI Professional Career Path is designed to help learners develop practical business intelligence skills using industry-standard tools including Microsoft Excel, SQL, Microsoft Power BI, Python, DAX, Power Query, and Data Modelling. This pathway combines technical data skills with business-focused analytical thinking. Learners progress from data preparation and database querying to designing interactive dashboards, developing performance reports, creating KPIs, and delivering actionable business insights. As organisations become increasingly data-driven, the demand for professionals who can turn complex data into clear business intelligence continues to grow. BI professionals are highly valued across industries including finance, healthcare, retail, manufacturing, logistics, telecommunications, government, education, and consulting. This career path is suitable for aspiring Business Intelligence Analysts, BI Developers, Reporting Analysts, Data Analysts, Power BI Developers, and professionals looking to build a career in data-driven decision-making. Recommended Learning Pathway Complete these milestone training steps sequentially to achieve full proficiency: This career path is suitable for beginners, data professionals, business analysts, and career changers who want to build expertise in business intelligence and analytics. While no previous BI experience is required, an interest in data, problem-solving, and business processes will help learners progress more quickly. To establish professional-grade technical authority as a BI Professional, you should develop comprehensive skills in: Microsoft Excel for data organisation, analysis, reporting, and business calculations SQL for querying, extracting, and managing data from relational databases Power BI for creating dashboards, reports, KPIs, and interactive visualisations Data modelling techniques including relationships, star schemas, and dimensional modelling DAX (Data Analysis Expressions) for advanced calculations and business metrics Power Query for data cleansing, transformation, and automation Python, Pandas, and analytical tools for advanced reporting and automation workflows Business performance analysis, trend identification, forecasting, and stakeholder reporting Day-to-Day Responsibilities BI Professionals work with data from multiple business systems to create meaningful reports, dashboards, and insights that support strategic and operational decision-making. Collecting, integrating, and validating data from multiple sources Writing SQL queries to extract and analyse business data Designing and maintaining Power BI dashboards and reports Creating KPIs, scorecards, and executive reporting solutions Building and managing data models to support analytical reporting Identifying business trends, risks, and performance improvement opportunities Collaborating with managers, stakeholders, and technical teams to define reporting requirements Automating reporting processes and improving data accessibility across the organisation Presenting analytical findings and recommendations to business decision-makers Market Opportunities & Career Landscape Business Intelligence has become a critical function within modern organisations. Companies increasingly rely on dashboards, performance metrics, and real-time analytics to support decision-making, optimise operations, improve customer experiences, and drive business growth. The widespread adoption of cloud analytics platforms, self-service reporting tools, and enterprise data strategies has created strong demand for professionals who can combine technical data skills with business understanding. Organisations are actively seeking BI professionals who can transform large volumes of data into actionable insights that influence strategic decisions. Business Intelligence skills are transferable across virtually every industry, including finance, healthcare, retail, manufacturing, logistics, government, technology, telecommunications, and consulting. The growing demand for data-driven decision-making continues to create excellent career opportunities for both entry-level and experienced professionals. Business Intelligence skills are transferable across virtually every industry, includingfinance, healthcare, retail, manufacturing, logistics, government, technology, telecommunications, and consulting. The growing demand for data-driven decision-making continues to create excellent career opportunities for both entry-level and experienced professionals. This pathway also provides a strong foundation for progression into advanced careers such as Data Science, Analytics Engineering, Data Engineering, AI Analytics, and Business Intelligence Leadership roles. At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the cause of death worldwide, using cutting-edge technology. The flagship product-an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCTAnalysis-provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap Analysis), assess coronary blood flow (FFRCTAnalysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis).Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare. Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide. Job Title: Technical Solutions Analyst - EMEA Location: UK / Ireland Position Overview The Technical Solutions Specialist is a critical, hybrid role that serves as a technical consultant, Tier 3 support expert, and solutions analyst for Heartflow's non-invasive FFRct diagnostic technology. This position serves as the support bridge between our complex SaaS platform and our clinical customers. It requires deep expertise in Healthcare IT (HIT), networking, and systems engineering to guide complex implementations, and drive proactive product improvements. Key Responsibilities I. Clinical Implementation & Customer Success Guide and support customers through the technical lifecycle of our unique SaaS non-invasive diagnostic technology. Act as the frontline support resource for information on HeartFlow's technology, including network protocols, security and data protections associated with the transfer of medical imaging data over the Internet, cloud hosted platforms, and SaaS solutions. Contribute to HeartFlow's worldwide adoption of the novel FFRct product by providing knowledgeable and prompt responses to high-level customer inquiries and issues. Provide prompt documentation and complete resolution of reported issues and actively manage and expand the technical knowledge base. Work closely with the solutions engineering team to help deploy solutions that work within the existing infrastructure and workflow, overcoming technical and political obstacles that may arise. Assists Sales, Customer Support, Clinical Research and Technology teams in troubleshooting and alleviating customer issues. Assist with the roll-out of new HeartFlow products and services to existing and new customer base. Execute daily/weekly technical tasks to support regional sales initiatives. II. Advanced Technical Analysis & Solutions Engineering Serve as the Tier 3 escalation point for complex application and platform issues. Perform advanced troubleshooting related to clinical workflows, system integrations, underlying platforms and network components. Follow scripts, tooling, and automation workflows to streamline support operations and contribute to long-term system stability. Analyze recurring support incidents to identify systemic pain points and propose viable architectural or process improvements, collaborating with Development teams on hotfixes and patches. Demonstrate the discipline to work independently, rapidly assess priorities, and solve new technical challenges. Networks & troubleshooting: routing, firewalls, connectivity, latency issues. Security - Secure data protocols, encryption, web services, SSL certificates and keys. Operating systems: Windows and Linux deployment, diagnosis & troubleshooting. Hypervisors - Virtual Machines and mainstream Virtual application solutions. III. Data Feedback & Cross-Functional Leadership Deliver structured customer feedback into HeartFlow's Customer Relationship Management (CRM) system. Help team members analyze and distill technical and usage data to drive improvements in technology and underlying infrastructure. Contribute actively to the high-performing, global team by sharing new information and leveraging group wisdom to enhance team capabilities. Work cross-functionally to coordinate resources, support and information. Required Skills & Qualifications Technical Systems & Healthcare IT Expertise DICOM, Integration & Operability, Clinical workflows, PACS, HIPAA requirements, and PHI protections. Microsoft Windows Server/Desktop, Linux (RHEL, Alma Linux) Python, scripting, Microsoft SQL, Networking: Demonstrated experience troubleshooting IP, routing, connectivity, and latency issues. Virtualization: Knowledge of virtualization technologies required; experience deploying and troubleshooting VMs and working knowledge of Hypervisors. Security: Deep understanding of data protection, encryption, web services, and certificates. SAML integrations: SSO Single-Sign-On, Multi-factor Authentication (MFA). Cloud hosted platforms & web app services: API's & Amazon Web Services (AWS) Experience supporting large-scale websites and/or web-based products. Proven ability to analyze logs, trace, and isolate performance bottlenecks in complex, distributed systems. Special Working Conditions: the responsibilities of this position sometimes require working evenings and weekends, with little advanced notice. Required to be on call 24/7 as needed, Occasional travel to customer locations ( Professional & Communication Skills Customer-Facing Experience: Demonstrated customer-facing skills with a positive, professional personality and comfort presenting in front of groups. Communication: Exceptional written and verbal communication skills (fluency in English required), with the ability to translate complex technical findings into easily understandable business language. Responsible, accountable, and possesses the ability to work well within teams and cross-functionally. Comfortable in high-pressure situations and adept at managing client expectations during critical periods. Competency in German, French, Italian, and/or Spanish is desirable.(EMEA Only) Educational & Experience Requirements Educational Preference: Engineering or B.S. in Computer Science preferred (or sufficient and relevant experience). Industry Experience: 3+ years' experience working in the health care industry. Technical Experience: Minimum of 3 years of professional experience in a technical support, DevOps, or systems engineering role. Experience providing customer and/or corporate sales support preferred. Experience in training, mentorship, and process development is a plus. Physical Demands of the Job: Remote - Office environment. Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination. Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals. Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with and B) the position described is found on our careers site at/
09/06/2026
Full time
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the cause of death worldwide, using cutting-edge technology. The flagship product-an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCTAnalysis-provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap Analysis), assess coronary blood flow (FFRCTAnalysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis).Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare. Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide. Job Title: Technical Solutions Analyst - EMEA Location: UK / Ireland Position Overview The Technical Solutions Specialist is a critical, hybrid role that serves as a technical consultant, Tier 3 support expert, and solutions analyst for Heartflow's non-invasive FFRct diagnostic technology. This position serves as the support bridge between our complex SaaS platform and our clinical customers. It requires deep expertise in Healthcare IT (HIT), networking, and systems engineering to guide complex implementations, and drive proactive product improvements. Key Responsibilities I. Clinical Implementation & Customer Success Guide and support customers through the technical lifecycle of our unique SaaS non-invasive diagnostic technology. Act as the frontline support resource for information on HeartFlow's technology, including network protocols, security and data protections associated with the transfer of medical imaging data over the Internet, cloud hosted platforms, and SaaS solutions. Contribute to HeartFlow's worldwide adoption of the novel FFRct product by providing knowledgeable and prompt responses to high-level customer inquiries and issues. Provide prompt documentation and complete resolution of reported issues and actively manage and expand the technical knowledge base. Work closely with the solutions engineering team to help deploy solutions that work within the existing infrastructure and workflow, overcoming technical and political obstacles that may arise. Assists Sales, Customer Support, Clinical Research and Technology teams in troubleshooting and alleviating customer issues. Assist with the roll-out of new HeartFlow products and services to existing and new customer base. Execute daily/weekly technical tasks to support regional sales initiatives. II. Advanced Technical Analysis & Solutions Engineering Serve as the Tier 3 escalation point for complex application and platform issues. Perform advanced troubleshooting related to clinical workflows, system integrations, underlying platforms and network components. Follow scripts, tooling, and automation workflows to streamline support operations and contribute to long-term system stability. Analyze recurring support incidents to identify systemic pain points and propose viable architectural or process improvements, collaborating with Development teams on hotfixes and patches. Demonstrate the discipline to work independently, rapidly assess priorities, and solve new technical challenges. Networks & troubleshooting: routing, firewalls, connectivity, latency issues. Security - Secure data protocols, encryption, web services, SSL certificates and keys. Operating systems: Windows and Linux deployment, diagnosis & troubleshooting. Hypervisors - Virtual Machines and mainstream Virtual application solutions. III. Data Feedback & Cross-Functional Leadership Deliver structured customer feedback into HeartFlow's Customer Relationship Management (CRM) system. Help team members analyze and distill technical and usage data to drive improvements in technology and underlying infrastructure. Contribute actively to the high-performing, global team by sharing new information and leveraging group wisdom to enhance team capabilities. Work cross-functionally to coordinate resources, support and information. Required Skills & Qualifications Technical Systems & Healthcare IT Expertise DICOM, Integration & Operability, Clinical workflows, PACS, HIPAA requirements, and PHI protections. Microsoft Windows Server/Desktop, Linux (RHEL, Alma Linux) Python, scripting, Microsoft SQL, Networking: Demonstrated experience troubleshooting IP, routing, connectivity, and latency issues. Virtualization: Knowledge of virtualization technologies required; experience deploying and troubleshooting VMs and working knowledge of Hypervisors. Security: Deep understanding of data protection, encryption, web services, and certificates. SAML integrations: SSO Single-Sign-On, Multi-factor Authentication (MFA). Cloud hosted platforms & web app services: API's & Amazon Web Services (AWS) Experience supporting large-scale websites and/or web-based products. Proven ability to analyze logs, trace, and isolate performance bottlenecks in complex, distributed systems. Special Working Conditions: the responsibilities of this position sometimes require working evenings and weekends, with little advanced notice. Required to be on call 24/7 as needed, Occasional travel to customer locations ( Professional & Communication Skills Customer-Facing Experience: Demonstrated customer-facing skills with a positive, professional personality and comfort presenting in front of groups. Communication: Exceptional written and verbal communication skills (fluency in English required), with the ability to translate complex technical findings into easily understandable business language. Responsible, accountable, and possesses the ability to work well within teams and cross-functionally. Comfortable in high-pressure situations and adept at managing client expectations during critical periods. Competency in German, French, Italian, and/or Spanish is desirable.(EMEA Only) Educational & Experience Requirements Educational Preference: Engineering or B.S. in Computer Science preferred (or sufficient and relevant experience). Industry Experience: 3+ years' experience working in the health care industry. Technical Experience: Minimum of 3 years of professional experience in a technical support, DevOps, or systems engineering role. Experience providing customer and/or corporate sales support preferred. Experience in training, mentorship, and process development is a plus. Physical Demands of the Job: Remote - Office environment. Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination. Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals. Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with and B) the position described is found on our careers site at/
We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production grade services with measurable client and advisor impact. You will be responsible to the Head of AIML in IPB Tech for the end to end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilities Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM powered products serving IPB advisors and clients across the globe. Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm wide standards Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams Represents the AIML team in firm wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data privacy considerations are reflected in solution design Contributes to the team's GenAI education programme through training content, knowledge sharing sessions, and mentoring of junior engineers and interns Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and expert applied experience Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control) Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day to day software development, with the judgement to know when to lean on them and when not to Hands on experience building, evaluating, and deploying machine learning models into production Practical experience with Large Language Models, including prompt engineering, RAG, fine tuning, agentic frameworks, skills. Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data intensive systems Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non technical audiences Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines MSc in Computer Science, Data Science, Engineering, or a related quantitative field Preferred qualifications, capabilities, and skills Postgraduate level qualification in data science, artificial intelligence, or machine learning Practical experience with CI/CD, containerization, and cloud native deployment patterns Experience within financial services technology, particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML / cloud platforms Experience designing or contributing to AI governance, model validation, or guardrail frameworks
09/06/2026
Full time
We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production grade services with measurable client and advisor impact. You will be responsible to the Head of AIML in IPB Tech for the end to end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilities Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM powered products serving IPB advisors and clients across the globe. Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm wide standards Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams Represents the AIML team in firm wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data privacy considerations are reflected in solution design Contributes to the team's GenAI education programme through training content, knowledge sharing sessions, and mentoring of junior engineers and interns Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and expert applied experience Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control) Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day to day software development, with the judgement to know when to lean on them and when not to Hands on experience building, evaluating, and deploying machine learning models into production Practical experience with Large Language Models, including prompt engineering, RAG, fine tuning, agentic frameworks, skills. Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data intensive systems Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non technical audiences Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines MSc in Computer Science, Data Science, Engineering, or a related quantitative field Preferred qualifications, capabilities, and skills Postgraduate level qualification in data science, artificial intelligence, or machine learning Practical experience with CI/CD, containerization, and cloud native deployment patterns Experience within financial services technology, particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML / cloud platforms Experience designing or contributing to AI governance, model validation, or guardrail frameworks
JPMorgan Chase & Co. is looking for a Senior Lead Data Engineer to join our team in London. This role involves delivering end-to-end data pipeline solutions, collaborating with various product teams to enhance the banking experience through technology. The ideal candidate will bring extensive experience in data engineering with strong expertise in Python and cloud technologies. You will ensure the reliability of systems while optimizing them to meet business needs, all within a highly diverse and inclusive environment.
09/06/2026
Full time
JPMorgan Chase & Co. is looking for a Senior Lead Data Engineer to join our team in London. This role involves delivering end-to-end data pipeline solutions, collaborating with various product teams to enhance the banking experience through technology. The ideal candidate will bring extensive experience in data engineering with strong expertise in Python and cloud technologies. You will ensure the reliability of systems while optimizing them to meet business needs, all within a highly diverse and inclusive environment.
Business Analyst page is loaded Business Analystlocations: UK-Londontime type: Full timeposted on: Posted Todayjob requisition id: R003849Business Analyst Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: E - Associate Reporting Line: (UK Division) Trading & COO Location: UK-London Worker Type: Permanent Overall Purpose of Role We are seeking a highly motivated Business Analyst with a genuine interest in exchange trading and a passion for delivering best in class solutions to our customers. The Business Analyst will be a part of a cross-business delivery team, helping us to enhance and optimise our trading capabilities.The ideal candidate will need experience in delivering in environments, particularly with Scrum-based practices, and will be familiar with Behaviour-Driven Development (BDD) methodologies. The role will involve working with stakeholders from across the LME group to understand needs, collaborate across teams to create a shared understanding of intent, and contribute to solutions that meet the business and user needs. Responsibilities: Requirements Gathering : Work with stakeholders to elicit, analyse, and document business requirements, focusing on pricing needs. Delivery : Work with stakeholders to define a plan, manage it, and see the delivery through to completion. User Story Development : Translate business requirements into clear, concise user stories with well-defined acceptance criteria, using BDD techniques. Backlog Management : Work with the Product Owner to ensure there is a health backlog of ready stories that are aligned with business goals and priorities. Data Analysis : Analyse existing data sets, structures and processes, identifying areas for improvement. Stakeholder Communication : Serve as the facilitator between stakeholders, ensuring that there is close collaboration and that business needs are accurately translated into requirements. Solution Design : Support the design and validation of solutions, understanding operational impact and ensuring they meet business needs in alignment with the solution architecture. Documentation : Maintain comprehensive documentation of business processes, requirements, user stories, user guides, and other relevant project details. Testing & Validation : Collaborate with Engineers to define and execute test scenarios, ensuring solutions meet acceptance criteria. Continuous Learning : Collaborate with the wider Business Analysis capability and Community of Practices for shared knowledge, support and contribution to the ongoing development of individual and organisational capabilities. Academic and Professional Qualifications Required Degree Level educated or equivalent in a relevant discipline. Required Knowledge and Level of Experience Experience : Experience as a Business Analyst, preferably within the financial services industry. Experience of working in an exchange environment or similar domain. Knowledge : Knowledge of trading/clearing systems, commodities trading/clearing and knowledge of the regulatory context within which the LME and LME Clear operates. Agile/Scrum : Strong understanding of agile methodologies, particularly Scrum. Experience in an agile environment is essential. BDD Knowledge : Familiarity with Behaviour-Driven Development (BDD) practices and tools such as Cucumber, Gherkin, or similar. Tools : Experience with Jira, Confluence, Microsoft Office suite (365). Knowledge of python, SQL and data querying languages. The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression & reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication. Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock Code:388) and one of the world's leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through its pioneering Connect schemes, increasingly diversified product ecosystem and its deep, liquid and international markets.HKEX is a purpose-led organisation which, across its business and through the work of HKEX Foundation, seeks to connect, promote and progress its markets and the communities it supports for the prosperity of all.
09/06/2026
Full time
Business Analyst page is loaded Business Analystlocations: UK-Londontime type: Full timeposted on: Posted Todayjob requisition id: R003849Business Analyst Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: E - Associate Reporting Line: (UK Division) Trading & COO Location: UK-London Worker Type: Permanent Overall Purpose of Role We are seeking a highly motivated Business Analyst with a genuine interest in exchange trading and a passion for delivering best in class solutions to our customers. The Business Analyst will be a part of a cross-business delivery team, helping us to enhance and optimise our trading capabilities.The ideal candidate will need experience in delivering in environments, particularly with Scrum-based practices, and will be familiar with Behaviour-Driven Development (BDD) methodologies. The role will involve working with stakeholders from across the LME group to understand needs, collaborate across teams to create a shared understanding of intent, and contribute to solutions that meet the business and user needs. Responsibilities: Requirements Gathering : Work with stakeholders to elicit, analyse, and document business requirements, focusing on pricing needs. Delivery : Work with stakeholders to define a plan, manage it, and see the delivery through to completion. User Story Development : Translate business requirements into clear, concise user stories with well-defined acceptance criteria, using BDD techniques. Backlog Management : Work with the Product Owner to ensure there is a health backlog of ready stories that are aligned with business goals and priorities. Data Analysis : Analyse existing data sets, structures and processes, identifying areas for improvement. Stakeholder Communication : Serve as the facilitator between stakeholders, ensuring that there is close collaboration and that business needs are accurately translated into requirements. Solution Design : Support the design and validation of solutions, understanding operational impact and ensuring they meet business needs in alignment with the solution architecture. Documentation : Maintain comprehensive documentation of business processes, requirements, user stories, user guides, and other relevant project details. Testing & Validation : Collaborate with Engineers to define and execute test scenarios, ensuring solutions meet acceptance criteria. Continuous Learning : Collaborate with the wider Business Analysis capability and Community of Practices for shared knowledge, support and contribution to the ongoing development of individual and organisational capabilities. Academic and Professional Qualifications Required Degree Level educated or equivalent in a relevant discipline. Required Knowledge and Level of Experience Experience : Experience as a Business Analyst, preferably within the financial services industry. Experience of working in an exchange environment or similar domain. Knowledge : Knowledge of trading/clearing systems, commodities trading/clearing and knowledge of the regulatory context within which the LME and LME Clear operates. Agile/Scrum : Strong understanding of agile methodologies, particularly Scrum. Experience in an agile environment is essential. BDD Knowledge : Familiarity with Behaviour-Driven Development (BDD) practices and tools such as Cucumber, Gherkin, or similar. Tools : Experience with Jira, Confluence, Microsoft Office suite (365). Knowledge of python, SQL and data querying languages. The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression & reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication. Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock Code:388) and one of the world's leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through its pioneering Connect schemes, increasingly diversified product ecosystem and its deep, liquid and international markets.HKEX is a purpose-led organisation which, across its business and through the work of HKEX Foundation, seeks to connect, promote and progress its markets and the communities it supports for the prosperity of all.
At Gamma, we're more than just a leader in Unified Communications as a Service (UCaaS). We're a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe. Our product and service portfolio is at the heart of what we do - powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact. We combine the agility of a start up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work - and we're always looking for people who want to build meaningful technology at scale. Who are we looking for? Act as a cross platform technical catalyst, rapidly building context across domains to uncover friction, challenge existing approaches, and enable scalable improvements through automation, experimentation, and engineering best practice in ambiguous, fast moving environments. What will you be doing day to day? Embed across teams to unblock delivery and accelerate outcomes across cloud, networking, reliability, automation, and data platforms. Rapidly build context in new domains and shape solutions in ambiguous problem spaces. Identify systemic friction across tooling, processes, and architecture and drive improvements. Design and scale automation using Python, Infrastructure as Code, and the Itential orchestration platform. Lead cross domain automation initiatives to industrialise high value workflows and deliver measurable outcomes. Run technical discovery and architecture challenge sessions to surface risks and opportunities. Influence platform roadmaps using operational data, metrics, and telemetry. Champion golden paths, self service capabilities, and cross team knowledge sharing. Partner with SRE, Security, Cloud, and Network leaders on platform wide initiatives. Define strategy, operational processes, and investment priorities while coaching engineers in automation first thinking. What you'll need Broad hands on engineering background across cloud, automation, networking, reliability, and platform tooling. Strong Python capability for building automation, integrations, and orchestration workflows. Deep appreciation of Infrastructure as Code principles and scalable system design, without being constrained to a single stack. Working knowledge of container platforms and cloud services. Knowledge of JST would be preferable. Strong understanding of secure by design engineering and operational risk considerations. Proven ability to integrate solutions into CI/CD pipelines and SDLC aligned delivery models. Experience using orchestration platforms such as Itential to automate cross domain processes. Able to organise and drive initiatives through tooling such as Jira without being a full time delivery manager. What do we offer you? At Gamma, we believe in work life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you. Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours. Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family. We want you to share in our success, which is why we offer tax efficient share save and share incentive plans. We're also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier. A few things to note Unfortunately, we can't offer visa sponsorship or relocation support for this role. This role is hybrid, with office and home working flexibility. Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics.
09/06/2026
Full time
At Gamma, we're more than just a leader in Unified Communications as a Service (UCaaS). We're a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe. Our product and service portfolio is at the heart of what we do - powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact. We combine the agility of a start up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work - and we're always looking for people who want to build meaningful technology at scale. Who are we looking for? Act as a cross platform technical catalyst, rapidly building context across domains to uncover friction, challenge existing approaches, and enable scalable improvements through automation, experimentation, and engineering best practice in ambiguous, fast moving environments. What will you be doing day to day? Embed across teams to unblock delivery and accelerate outcomes across cloud, networking, reliability, automation, and data platforms. Rapidly build context in new domains and shape solutions in ambiguous problem spaces. Identify systemic friction across tooling, processes, and architecture and drive improvements. Design and scale automation using Python, Infrastructure as Code, and the Itential orchestration platform. Lead cross domain automation initiatives to industrialise high value workflows and deliver measurable outcomes. Run technical discovery and architecture challenge sessions to surface risks and opportunities. Influence platform roadmaps using operational data, metrics, and telemetry. Champion golden paths, self service capabilities, and cross team knowledge sharing. Partner with SRE, Security, Cloud, and Network leaders on platform wide initiatives. Define strategy, operational processes, and investment priorities while coaching engineers in automation first thinking. What you'll need Broad hands on engineering background across cloud, automation, networking, reliability, and platform tooling. Strong Python capability for building automation, integrations, and orchestration workflows. Deep appreciation of Infrastructure as Code principles and scalable system design, without being constrained to a single stack. Working knowledge of container platforms and cloud services. Knowledge of JST would be preferable. Strong understanding of secure by design engineering and operational risk considerations. Proven ability to integrate solutions into CI/CD pipelines and SDLC aligned delivery models. Experience using orchestration platforms such as Itential to automate cross domain processes. Able to organise and drive initiatives through tooling such as Jira without being a full time delivery manager. What do we offer you? At Gamma, we believe in work life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you. Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours. Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family. We want you to share in our success, which is why we offer tax efficient share save and share incentive plans. We're also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier. A few things to note Unfortunately, we can't offer visa sponsorship or relocation support for this role. This role is hybrid, with office and home working flexibility. Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics.
What's Exciting About the Role Verifone is seeking a Data Engineer (Kafka) to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You'll be hands on with day to day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on prem and in AWS Cloud. Beyond keeping the lights on, you'll play a key role in building the data pipelines-of which Kafka is a core component-that power Verifone's new AI, machine learning, and analytics initiatives. You'll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more-so you'll grow well beyond a single technology niche. This hybrid role is open to hiring candidates located in: Bucharest, Romania Ashford, United Kingdom Riga, Lativa Warsaw, Poland Key Responsibilities Kafka Operations & Reliability Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high throughput, fault tolerant messaging and event streaming pipelines. Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA). Handle day to day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing. Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks. Scripting, Automation & DevOps Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency. Design, implement, and maintain robust CI/CD pipelines for patching automation. Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar. Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes. Data Pipeline Development Build and optimize end to end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases. Collaborate with development teams to implement best practices for data flow, security, scalability, and performance. Continuously identify and implement improvements to the software development lifecycle (SDLC). Cloud & Infrastructure Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.). Support cloud migration tasks and assist in moving workloads between on prem and cloud environments. Required Qualifications / Skills 4+ years of overall engineering experience with 2+ years of hands on experience supporting Kafka infrastructure in a large scale production environment. Kafka Producer/Consumer microservices concepts and Kafka distributed architecture. Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk. Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil. CI/CD pipeline development and Infrastructure as Code experience (Terraform preferred). Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch). Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices. Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure). Strong communication and presentation skills with emphasis on executive communication. Flexible with regards to working shifts; on call and weekends. Preferred Skills (Highly Desired) Data Engineering & Pipelines Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration). Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.). Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks. Database & Caching Technologies Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases. Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals). MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore). Infrastructure & Security Container/Kubernetes familiarity (deployments, stateful workloads, storage classes). On prem experience (VMware/KVM, storage, networking). Security fundamentals: least privilege, secrets management, encryption in transit/at rest concepts. Experience working with PCI (Payment Card Industry Data Security) standards. What We Offer Direct impact on Verifone's global payment infrastructure-your work keeps billions of transactions flowing reliably each year. Ground floor involvement in building the data pipelines that will drive Verifone's AI, machine learning, and analytics strategy. Hands on participation in a Kafka to Kubernetes migration-a resume building modernization project from day one. Multi technology exposure-Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake-so you grow as a well rounded platform engineer, not a single tool specialist. Mentorship from senior engineers and Kafka architects with deep production experience. Clear career progression path from mid level to senior and lead engineer. Funded certification paths-Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA-plus budget for courses and technical conferences. Hybrid/remote working flexibility with a collaborative team culture. Competitive compensation with performance based incentives. Our Commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
09/06/2026
Full time
What's Exciting About the Role Verifone is seeking a Data Engineer (Kafka) to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You'll be hands on with day to day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on prem and in AWS Cloud. Beyond keeping the lights on, you'll play a key role in building the data pipelines-of which Kafka is a core component-that power Verifone's new AI, machine learning, and analytics initiatives. You'll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more-so you'll grow well beyond a single technology niche. This hybrid role is open to hiring candidates located in: Bucharest, Romania Ashford, United Kingdom Riga, Lativa Warsaw, Poland Key Responsibilities Kafka Operations & Reliability Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high throughput, fault tolerant messaging and event streaming pipelines. Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA). Handle day to day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing. Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks. Scripting, Automation & DevOps Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency. Design, implement, and maintain robust CI/CD pipelines for patching automation. Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar. Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes. Data Pipeline Development Build and optimize end to end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases. Collaborate with development teams to implement best practices for data flow, security, scalability, and performance. Continuously identify and implement improvements to the software development lifecycle (SDLC). Cloud & Infrastructure Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.). Support cloud migration tasks and assist in moving workloads between on prem and cloud environments. Required Qualifications / Skills 4+ years of overall engineering experience with 2+ years of hands on experience supporting Kafka infrastructure in a large scale production environment. Kafka Producer/Consumer microservices concepts and Kafka distributed architecture. Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk. Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil. CI/CD pipeline development and Infrastructure as Code experience (Terraform preferred). Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch). Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices. Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure). Strong communication and presentation skills with emphasis on executive communication. Flexible with regards to working shifts; on call and weekends. Preferred Skills (Highly Desired) Data Engineering & Pipelines Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration). Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.). Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks. Database & Caching Technologies Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases. Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals). MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore). Infrastructure & Security Container/Kubernetes familiarity (deployments, stateful workloads, storage classes). On prem experience (VMware/KVM, storage, networking). Security fundamentals: least privilege, secrets management, encryption in transit/at rest concepts. Experience working with PCI (Payment Card Industry Data Security) standards. What We Offer Direct impact on Verifone's global payment infrastructure-your work keeps billions of transactions flowing reliably each year. Ground floor involvement in building the data pipelines that will drive Verifone's AI, machine learning, and analytics strategy. Hands on participation in a Kafka to Kubernetes migration-a resume building modernization project from day one. Multi technology exposure-Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake-so you grow as a well rounded platform engineer, not a single tool specialist. Mentorship from senior engineers and Kafka architects with deep production experience. Clear career progression path from mid level to senior and lead engineer. Funded certification paths-Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA-plus budget for courses and technical conferences. Hybrid/remote working flexibility with a collaborative team culture. Competitive compensation with performance based incentives. Our Commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
About the Team Rfam and RNAcentral are key resources for RNA biology, serving tens of thousands of users every year and widely cited in the scientific literature. We are recruiting a Bioinformatics Data Engineer to develop and maintain both the Rfam and RNAcentral databases. They are currently funded by the BBSRC and Wellcome. The RNA Resources team is part of the Sequence Families group led by Alex Bateman. You will be reporting to the Project Leader for RNA Resources, and working closely with an RNA bioinformatician, two full-stack software developers, and an Rfam biocurator. Your role As a Bioinformatics Data Engineer, you will run, maintain and optimise our data pipelines, ensuring efficient data processing, storage and retrieval for Rfam and RNAcentral. You will work closely with cross-functional teams to analyse requirements, propose new data pipeline architectures, and implement solutions to improve performance and scalability. The tasks will include: Analysing existing data curation and data production pipelines and identifying areas for improvement, optimisation, and scalability. Modernising and containerising Rfam curation pipelines, and implementing human-in-the-loop, AI-assisted agentic curation. Developing and scaling LLM pipelines used in RNAcentral for literature summarisation and curation. Developing scalable workflows for ncRNA annotation in genomes. Documenting data pipelines, processes, and workflows for internal reference and knowledge sharing. Participating in RNAcentral and Rfam data releases. You will also be responsible for outreach to the scientific community through presentations at major conferences such as the RNA Society Annual Meeting and ISMB. Additionally, you will present at the RNAcentral consortium meetings and Scientific Advisory Board meetings, gathering regular feedback from community members. Finally, you are expected to keep up to date with the latest developments in RNA science to ensure the resources continue to provide our diverse users with valuable data and analysis. You should be passionate about RNA science and want to help the scientific community. RNAcentral and Rfam are widely used resources, and this role offers the opportunity to shape the work of many RNA researchers worldwide. You have Master's level or equivalent qualification in a computational, biological or related scientific discipline Proficiency in Python and other relevant languages for bioinformatics tool development. Experience with relational databases (PostgreSQL, MySQL) and SQL: knowledge of PostgreSQL and MySQL database architecture, performance tuning, partitioning strategies, indexing techniques, and query optimisation. Demonstrated track record of developing and maintaining production bioinformatics pipelines with workflow management systems such as Nextflow or Snakemake Experience building applications with LLMs and other AI technologies Familiarity with Docker or other containerisation technologies, such as Singularity Comfortable using Git/GitHub, Unix, and Bash Experience of using AI assisted coding tools Ability to apply best-practice software development methodologies Strong communication skills You may also have Knowledge of RNA biology and/or demonstrable practical experience with Rfam, Infernal, R-scape and tools for secondary structure prediction Familiarity with gene annotation or genome feature representation Experience with high-performance computing environments such as Slurm Experience in planning and executing data migration projects, including downtime management, data consistency verification, and rollback strategies Experience with AI workflow libraries such as LangChain and LangGraph Experience with Kubernetes and cloud infrastructure platforms such as OpenStack. Experience with the Rust programming language Other information Hybrid Working: At EMBL-EBI we are pleased to offer hybrid working options for all our employees. You would be required to work 2 days from the office in Hinxton (currently this is Monday and Tuesday), with the flexibility to come on site more often if preferred. Interviews We plan to hold introductory meetings with selected candidates remotely starting in Early July, following this we plan to hold panel interviews remotely in Mid July. Application instructions To apply, please include both a CV and a tailored Cover letter. Applications submitted without both documents will not be considered. Contract Contract length: 3 years (Grant based contract) Salary Salary: Grade 5 monthly salary starting at £3,303 per month after tax but excluding pension and insurance contributions. Plus generous benefits.
09/06/2026
Full time
About the Team Rfam and RNAcentral are key resources for RNA biology, serving tens of thousands of users every year and widely cited in the scientific literature. We are recruiting a Bioinformatics Data Engineer to develop and maintain both the Rfam and RNAcentral databases. They are currently funded by the BBSRC and Wellcome. The RNA Resources team is part of the Sequence Families group led by Alex Bateman. You will be reporting to the Project Leader for RNA Resources, and working closely with an RNA bioinformatician, two full-stack software developers, and an Rfam biocurator. Your role As a Bioinformatics Data Engineer, you will run, maintain and optimise our data pipelines, ensuring efficient data processing, storage and retrieval for Rfam and RNAcentral. You will work closely with cross-functional teams to analyse requirements, propose new data pipeline architectures, and implement solutions to improve performance and scalability. The tasks will include: Analysing existing data curation and data production pipelines and identifying areas for improvement, optimisation, and scalability. Modernising and containerising Rfam curation pipelines, and implementing human-in-the-loop, AI-assisted agentic curation. Developing and scaling LLM pipelines used in RNAcentral for literature summarisation and curation. Developing scalable workflows for ncRNA annotation in genomes. Documenting data pipelines, processes, and workflows for internal reference and knowledge sharing. Participating in RNAcentral and Rfam data releases. You will also be responsible for outreach to the scientific community through presentations at major conferences such as the RNA Society Annual Meeting and ISMB. Additionally, you will present at the RNAcentral consortium meetings and Scientific Advisory Board meetings, gathering regular feedback from community members. Finally, you are expected to keep up to date with the latest developments in RNA science to ensure the resources continue to provide our diverse users with valuable data and analysis. You should be passionate about RNA science and want to help the scientific community. RNAcentral and Rfam are widely used resources, and this role offers the opportunity to shape the work of many RNA researchers worldwide. You have Master's level or equivalent qualification in a computational, biological or related scientific discipline Proficiency in Python and other relevant languages for bioinformatics tool development. Experience with relational databases (PostgreSQL, MySQL) and SQL: knowledge of PostgreSQL and MySQL database architecture, performance tuning, partitioning strategies, indexing techniques, and query optimisation. Demonstrated track record of developing and maintaining production bioinformatics pipelines with workflow management systems such as Nextflow or Snakemake Experience building applications with LLMs and other AI technologies Familiarity with Docker or other containerisation technologies, such as Singularity Comfortable using Git/GitHub, Unix, and Bash Experience of using AI assisted coding tools Ability to apply best-practice software development methodologies Strong communication skills You may also have Knowledge of RNA biology and/or demonstrable practical experience with Rfam, Infernal, R-scape and tools for secondary structure prediction Familiarity with gene annotation or genome feature representation Experience with high-performance computing environments such as Slurm Experience in planning and executing data migration projects, including downtime management, data consistency verification, and rollback strategies Experience with AI workflow libraries such as LangChain and LangGraph Experience with Kubernetes and cloud infrastructure platforms such as OpenStack. Experience with the Rust programming language Other information Hybrid Working: At EMBL-EBI we are pleased to offer hybrid working options for all our employees. You would be required to work 2 days from the office in Hinxton (currently this is Monday and Tuesday), with the flexibility to come on site more often if preferred. Interviews We plan to hold introductory meetings with selected candidates remotely starting in Early July, following this we plan to hold panel interviews remotely in Mid July. Application instructions To apply, please include both a CV and a tailored Cover letter. Applications submitted without both documents will not be considered. Contract Contract length: 3 years (Grant based contract) Salary Salary: Grade 5 monthly salary starting at £3,303 per month after tax but excluding pension and insurance contributions. Plus generous benefits.
1034 LEGO Company Limited is looking for a leader in Analytics Engineering, responsible for a team of Analytics Engineers. This role emphasizes collaboration to deliver data-driven decisions while ensuring high-quality data products across commercial operations. The successful candidate will possess strong analytical skills, proven leadership abilities, and expertise in SQL or Python. This position supports a hybrid work policy, allowing flexibility in workplace locations.
09/06/2026
Full time
1034 LEGO Company Limited is looking for a leader in Analytics Engineering, responsible for a team of Analytics Engineers. This role emphasizes collaboration to deliver data-driven decisions while ensuring high-quality data products across commercial operations. The successful candidate will possess strong analytical skills, proven leadership abilities, and expertise in SQL or Python. This position supports a hybrid work policy, allowing flexibility in workplace locations.
Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
09/06/2026
Full time
Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
At our dedication to user security is led by our highly experienced Security Team. Comprising an international roster of seasoned cybersecurity experts, our team leads the company's Security, Privacy, and Security Compliance endeavors. The team includes holders of international patents for technologies integrated in our security architecture. Under the stewardship of a distinguished CISO recognized by the Forbes Technology Council and among the Global Top 100 CISOs, our team has consistently championed industry standards, acquiring certifications like ISO27001, ISO27701, ISO22301, PCI:DSS 3.2.1 (Level 1), NIST Tier 4, and SOC 2 Type II, in addition to the MPI License from Singapore MAS. Our Chief Information Security Officer reports directly to the CEO, underscoring the prioritization of security in our organization's hierarchy. Our Security Team not only places great emphasis on credentials and expertise but also deeply values hands on experience, rapid cognition, and dynamic learning. The challenges in the world of crypto are ever evolving, and as such, our team prides itself on quick adaptability and robust teamwork, ensuring that we stay ahead of potential threats and always safeguard our user base. Key Responsibilities Production Excellence & Stability Guardian of Uptime: Take primary responsibility for ensuring the stability and availability of our production applications and blockchain infrastructure Environment Management: Oversee pre production and staging environments to ensure seamless delivery Incident & Problem Management: Lead the triage of application alerts, conduct deep dive root cause analysis (RCA), and manage post resolution follow ups to ensure issues never resurface Disaster Recovery: Coordinate DR testing, audits, and continuous improvement of monitoring tools and processes AI & Automation Innovation Support Transformation: Apply hands on AI experience to build tools and agents that automate repetitive support tasks, triage, and reporting Technical (Web 3 and Blockchain) Research Proactively keep abreast with updates on supported blockchains and DApps and demonstrate a sharp ability to technically deconstruct new blockchains or DApps as required to evaluate their impact of supportability on our product Requirements Support Nature mentality with an innate drive to investigate the deep root cause of issues and a perfectionist's streak regarding system stability Past job experiences in supporting applications Hands on experience in using AI/LLMs to automate workflows, or infrastructure monitoring Blockchain/Web3 technical depth with hands on experience writing/deploying DApps in Solana or EVM. Practical experience with staking across blockchains Strong communication to bridge between end users and the engineering team such as ability to distill complex application/blockchain/DApps issues into clear, empathetic updates for users, while simultaneously delivering root cause data to engineers to expedite fixes Degree in Computer Science or Engineering or Information Technology or similar discipline Knowledge in programming languages such as Rust or Python or Node.js or Golang Benefits Competitive salary Medical insurance package with extended coverage to dependents Attractive annual leave entitlement including: birthday, work anniversary Work Flexibility Adoption. Flexi work hour and hybrid or remote set up Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope. Work Perks: visa card provided upon joining Our benefits packages vary depending on region requirements, you can learn more from our talent acquisition team. is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team. Personal data provided by applicants will be used for recruitment purposes only.
09/06/2026
Full time
At our dedication to user security is led by our highly experienced Security Team. Comprising an international roster of seasoned cybersecurity experts, our team leads the company's Security, Privacy, and Security Compliance endeavors. The team includes holders of international patents for technologies integrated in our security architecture. Under the stewardship of a distinguished CISO recognized by the Forbes Technology Council and among the Global Top 100 CISOs, our team has consistently championed industry standards, acquiring certifications like ISO27001, ISO27701, ISO22301, PCI:DSS 3.2.1 (Level 1), NIST Tier 4, and SOC 2 Type II, in addition to the MPI License from Singapore MAS. Our Chief Information Security Officer reports directly to the CEO, underscoring the prioritization of security in our organization's hierarchy. Our Security Team not only places great emphasis on credentials and expertise but also deeply values hands on experience, rapid cognition, and dynamic learning. The challenges in the world of crypto are ever evolving, and as such, our team prides itself on quick adaptability and robust teamwork, ensuring that we stay ahead of potential threats and always safeguard our user base. Key Responsibilities Production Excellence & Stability Guardian of Uptime: Take primary responsibility for ensuring the stability and availability of our production applications and blockchain infrastructure Environment Management: Oversee pre production and staging environments to ensure seamless delivery Incident & Problem Management: Lead the triage of application alerts, conduct deep dive root cause analysis (RCA), and manage post resolution follow ups to ensure issues never resurface Disaster Recovery: Coordinate DR testing, audits, and continuous improvement of monitoring tools and processes AI & Automation Innovation Support Transformation: Apply hands on AI experience to build tools and agents that automate repetitive support tasks, triage, and reporting Technical (Web 3 and Blockchain) Research Proactively keep abreast with updates on supported blockchains and DApps and demonstrate a sharp ability to technically deconstruct new blockchains or DApps as required to evaluate their impact of supportability on our product Requirements Support Nature mentality with an innate drive to investigate the deep root cause of issues and a perfectionist's streak regarding system stability Past job experiences in supporting applications Hands on experience in using AI/LLMs to automate workflows, or infrastructure monitoring Blockchain/Web3 technical depth with hands on experience writing/deploying DApps in Solana or EVM. Practical experience with staking across blockchains Strong communication to bridge between end users and the engineering team such as ability to distill complex application/blockchain/DApps issues into clear, empathetic updates for users, while simultaneously delivering root cause data to engineers to expedite fixes Degree in Computer Science or Engineering or Information Technology or similar discipline Knowledge in programming languages such as Rust or Python or Node.js or Golang Benefits Competitive salary Medical insurance package with extended coverage to dependents Attractive annual leave entitlement including: birthday, work anniversary Work Flexibility Adoption. Flexi work hour and hybrid or remote set up Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope. Work Perks: visa card provided upon joining Our benefits packages vary depending on region requirements, you can learn more from our talent acquisition team. is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team. Personal data provided by applicants will be used for recruitment purposes only.
Product DevelopmentUnited KingdomLondon,United KingdomRemote - United Kingdom As a Senior Developer, you'll have significant autonomy to shape how some of the world's largest telecom operators communicate with consumers and detect issues across their networks. You'll help evolve the platform into a proactive, intelligent system built around Observe - Think - Act workflows, designing autonomous, AI driven operations that surface insights, trigger actions, and streamline complex network processes at scale. You'll work across the full stack, building intuitive interfaces in React and architecting resilient Python backend systems capable of handling massive volumes of time series telemetry. You'll join a dynamic, experienced global product and engineering team, collaborating with specialists across mobile SDKs, cloud platforms, and large scale distributed systems, while working directly with global customers. If you're excited by the challenge of building intelligent systems, solving complex data problems, and driving meaningful impact at global scale, this role offers the scope and technical depth to do your best work. Key Responsibilities: Full-Stack Development: Develop and maintain robust, scalable web applications using React, Redux, and modern backend frameworks. Automation & AI Features: Move the platform from reactive reporting to proactive operations by implementing "Observe-Think-Act" loops for network outage detection and communication. Maintain Technical Quality: Write clean, maintainable, and efficient code while conducting high-signal code reviews to elevate engineering standards. Collaborate Cross-Functionally: Work closely with Product teams to translate emerging AI capabilities into high-performance features for our global operator clients. Scale Data Processing: Help maintain and optimize backend services capable of handling high-volume network telemetry and time-series data. Experience integrating third-party APIs, AI services, webhooks, and event-driven workflows into production applications. Job Qualifications: 5 to 8 years of professional software engineering experience. Experience in mentoring or leadership. Strong proficiency in Python (FastAPI or Django) and experience designing scalable RESTful APIs. Proficient in React and Redux with hands on experience building complex, data heavy web applications. Hands on experience using AWS to build and scale web applications, including containerization (Docker/Kubernetes). Systems Thinker: Strong ability to break down complex manual problems into deliverable, automated technical sub tasks. PLUS: AI Frameworks : Hands on experience deploying AI agents into production or proven exposure to tools like LangChain, LangGraph, or LlamaIndex. PLUS: Experience with anonymization techniques, data privacy and GDPR. PLUS: Domain : Understanding of network monitoring, telecommunications data, or performance testing. Benefits: Ookla offers competitive salaries in addition to robust, health and wellness focused benefits. We are committed to work life balance with paid time off when you need it. At Ziff Davis, we remain dedicated to creating an environment where everyone feels valued, respected, and empowered to succeed. We offer Employee Resource Groups, company sponsored events, and regular opportunities for professional growth through educational support, mentorship programs, and career development resources. Compensation Range Ziff Davis provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is £5 0,000 to £80 ,000 . Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance. Ziff Davis is an Equal Opportunity Employer. At Ziff Davis, Diversity, Equity, and Inclusion (DEI) has always been about fairness, equal opportunity, and belonging. DEI enables us to attract and retain the best talent, regardless of background or circumstances, while enabling our thousands of employees worldwide to thrive.
09/06/2026
Full time
Product DevelopmentUnited KingdomLondon,United KingdomRemote - United Kingdom As a Senior Developer, you'll have significant autonomy to shape how some of the world's largest telecom operators communicate with consumers and detect issues across their networks. You'll help evolve the platform into a proactive, intelligent system built around Observe - Think - Act workflows, designing autonomous, AI driven operations that surface insights, trigger actions, and streamline complex network processes at scale. You'll work across the full stack, building intuitive interfaces in React and architecting resilient Python backend systems capable of handling massive volumes of time series telemetry. You'll join a dynamic, experienced global product and engineering team, collaborating with specialists across mobile SDKs, cloud platforms, and large scale distributed systems, while working directly with global customers. If you're excited by the challenge of building intelligent systems, solving complex data problems, and driving meaningful impact at global scale, this role offers the scope and technical depth to do your best work. Key Responsibilities: Full-Stack Development: Develop and maintain robust, scalable web applications using React, Redux, and modern backend frameworks. Automation & AI Features: Move the platform from reactive reporting to proactive operations by implementing "Observe-Think-Act" loops for network outage detection and communication. Maintain Technical Quality: Write clean, maintainable, and efficient code while conducting high-signal code reviews to elevate engineering standards. Collaborate Cross-Functionally: Work closely with Product teams to translate emerging AI capabilities into high-performance features for our global operator clients. Scale Data Processing: Help maintain and optimize backend services capable of handling high-volume network telemetry and time-series data. Experience integrating third-party APIs, AI services, webhooks, and event-driven workflows into production applications. Job Qualifications: 5 to 8 years of professional software engineering experience. Experience in mentoring or leadership. Strong proficiency in Python (FastAPI or Django) and experience designing scalable RESTful APIs. Proficient in React and Redux with hands on experience building complex, data heavy web applications. Hands on experience using AWS to build and scale web applications, including containerization (Docker/Kubernetes). Systems Thinker: Strong ability to break down complex manual problems into deliverable, automated technical sub tasks. PLUS: AI Frameworks : Hands on experience deploying AI agents into production or proven exposure to tools like LangChain, LangGraph, or LlamaIndex. PLUS: Experience with anonymization techniques, data privacy and GDPR. PLUS: Domain : Understanding of network monitoring, telecommunications data, or performance testing. Benefits: Ookla offers competitive salaries in addition to robust, health and wellness focused benefits. We are committed to work life balance with paid time off when you need it. At Ziff Davis, we remain dedicated to creating an environment where everyone feels valued, respected, and empowered to succeed. We offer Employee Resource Groups, company sponsored events, and regular opportunities for professional growth through educational support, mentorship programs, and career development resources. Compensation Range Ziff Davis provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is £5 0,000 to £80 ,000 . Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance. Ziff Davis is an Equal Opportunity Employer. At Ziff Davis, Diversity, Equity, and Inclusion (DEI) has always been about fairness, equal opportunity, and belonging. DEI enables us to attract and retain the best talent, regardless of background or circumstances, while enabling our thousands of employees worldwide to thrive.
About Us Tracer is an early stage, venture backed startup building the open source AI SRE agent for production engineering () that automatically investigates production incidents across the entire production stack. We are backed by experienced operators and investors who believe AI for production systems will be one of the defining enterprise software categories of the next decade. Our team is small, senior, and highly execution focused. About the Role We are opening up engineering roles to earlier career engineers who are hungry to work on hard problems. This is a hands on role where you will contribute directly to the OpenSRE codebase, build integrations used by engineers worldwide, and work closely with the founding team. If you have shipped real projects, contributed to open source, or built side projects, we want to hear from you. You'll Love Our Tech Stack Python + LangGraph (for multi agentic alert investigation) Rust (because we like systems that are fast and correct) ClickHouse (high volume event + investigation history at scale) AWS + Terraform (infrastructure that builds itself) What You'll Do Build and maintain integrations connecting OpenSRE to tools like Grafana, Datadog, Kafka, Airflow and more Contribute to the core agent: alert ingestion, context enrichment, hypothesis execution, and RCA reporting Write tests and synthetic incident simulations for the RL environment Review and respond to community pull requests and issues Work directly with senior engineers and founders to ship features fast Attend engineering conferences globally to connect with fellow engineers and grow awareness of the OpenSRE open source project What We're Looking For 0 2 years of professional experience, or strong project/extracurricular experience as a graduate Comfortable in Python Has shipped something real, a side project, open source contribution, university project, or anything you built and put in front of users Curious about distributed systems, observability, or AI infrastructure Bonus: prior open source contributions or experience with LangGraph, Grafana, Datadog, or cloud infrastructure Compensation & Benefits Total Compensation Range: up to £70,000 (incl. equity) We structure compensation as follows: Competitive base salary Meaningful equity ownership with real upside Final package depends on experience, impact, and seniority What's included: Salary + equity 30 days annual leave Employee health insurance Visa sponsorship Weekly team dinners and socials Regular team offsites and trips (our most recent was Kenya ) ️ Our Recruitment Process Introductory Call (15-30 mins): Call with our founding team to discuss your background, motivations, and learn more about Tracer Role Fit Interview (45 mins): Meet with our lead engineer or technical co founder to review your working style, skills, and fit for the role Take home & Competency Deep Dive (1 hour): Complete a practical exercise (e.g., case study, presentation, or technical problem solving) to explore the role's responsibilities and expectations On site meetup (Half Day): On site interviews and team lunch at our headquarters to ask any questions and experience our office and culture firsthand Offer: Final decision and offer
09/06/2026
Full time
About Us Tracer is an early stage, venture backed startup building the open source AI SRE agent for production engineering () that automatically investigates production incidents across the entire production stack. We are backed by experienced operators and investors who believe AI for production systems will be one of the defining enterprise software categories of the next decade. Our team is small, senior, and highly execution focused. About the Role We are opening up engineering roles to earlier career engineers who are hungry to work on hard problems. This is a hands on role where you will contribute directly to the OpenSRE codebase, build integrations used by engineers worldwide, and work closely with the founding team. If you have shipped real projects, contributed to open source, or built side projects, we want to hear from you. You'll Love Our Tech Stack Python + LangGraph (for multi agentic alert investigation) Rust (because we like systems that are fast and correct) ClickHouse (high volume event + investigation history at scale) AWS + Terraform (infrastructure that builds itself) What You'll Do Build and maintain integrations connecting OpenSRE to tools like Grafana, Datadog, Kafka, Airflow and more Contribute to the core agent: alert ingestion, context enrichment, hypothesis execution, and RCA reporting Write tests and synthetic incident simulations for the RL environment Review and respond to community pull requests and issues Work directly with senior engineers and founders to ship features fast Attend engineering conferences globally to connect with fellow engineers and grow awareness of the OpenSRE open source project What We're Looking For 0 2 years of professional experience, or strong project/extracurricular experience as a graduate Comfortable in Python Has shipped something real, a side project, open source contribution, university project, or anything you built and put in front of users Curious about distributed systems, observability, or AI infrastructure Bonus: prior open source contributions or experience with LangGraph, Grafana, Datadog, or cloud infrastructure Compensation & Benefits Total Compensation Range: up to £70,000 (incl. equity) We structure compensation as follows: Competitive base salary Meaningful equity ownership with real upside Final package depends on experience, impact, and seniority What's included: Salary + equity 30 days annual leave Employee health insurance Visa sponsorship Weekly team dinners and socials Regular team offsites and trips (our most recent was Kenya ) ️ Our Recruitment Process Introductory Call (15-30 mins): Call with our founding team to discuss your background, motivations, and learn more about Tracer Role Fit Interview (45 mins): Meet with our lead engineer or technical co founder to review your working style, skills, and fit for the role Take home & Competency Deep Dive (1 hour): Complete a practical exercise (e.g., case study, presentation, or technical problem solving) to explore the role's responsibilities and expectations On site meetup (Half Day): On site interviews and team lunch at our headquarters to ask any questions and experience our office and culture firsthand Offer: Final decision and offer
Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. The role We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world. As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players. You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture. What you'll be doing Designing, building and maintaining reliable data pipelines and processing components used across the business Writing clean, maintainable code and improving performance, data quality and cost efficiency over time Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery Contributing to technical design, estimation and planning discussions to help the team deliver effectively Reviewing code and sharing feedback to support guidelines and collective code quality Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve Learning and applying new tools, technologies and approaches as the platform and team continue to grow Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working What we are looking for Must have Experience as a data engineer (or similar), delivering production-ready, scalable code Strong SQL skills and experience with relational and analytical databases Programming experience in one or more of Python, Java, C or Spark-based technologies Experience working in UNIX or Linux environments, including shell scripting Experience contributing to data platforms handling complex, high-volume data Understanding of performance and cost considerations in data processing systems Familiarity with the software development lifecycle (for example Agile or Waterfall) Strong problem-solving skills and ability to handle multiple priorities Clear communication skills, including explaining technical concepts to non-technical partners Collaborative, respectful approach to working with others Curiosity and eagerness to learn new tools and technologies Fluency in English Eligibility to work in the UK, with ability to travel occasionally to the US and Japan Nice to have Experience with data warehouse or analytical platforms (for example Snowflake or Teradata) Familiarity with additional data processing or integration technologies Experience with graphical or low-code data development tools (for example Ab Initio) Understanding of data modelling concepts Experience translating business requirements into technical solutions Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
09/06/2026
Full time
Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. The role We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world. As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players. You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture. What you'll be doing Designing, building and maintaining reliable data pipelines and processing components used across the business Writing clean, maintainable code and improving performance, data quality and cost efficiency over time Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery Contributing to technical design, estimation and planning discussions to help the team deliver effectively Reviewing code and sharing feedback to support guidelines and collective code quality Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve Learning and applying new tools, technologies and approaches as the platform and team continue to grow Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working What we are looking for Must have Experience as a data engineer (or similar), delivering production-ready, scalable code Strong SQL skills and experience with relational and analytical databases Programming experience in one or more of Python, Java, C or Spark-based technologies Experience working in UNIX or Linux environments, including shell scripting Experience contributing to data platforms handling complex, high-volume data Understanding of performance and cost considerations in data processing systems Familiarity with the software development lifecycle (for example Agile or Waterfall) Strong problem-solving skills and ability to handle multiple priorities Clear communication skills, including explaining technical concepts to non-technical partners Collaborative, respectful approach to working with others Curiosity and eagerness to learn new tools and technologies Fluency in English Eligibility to work in the UK, with ability to travel occasionally to the US and Japan Nice to have Experience with data warehouse or analytical platforms (for example Snowflake or Teradata) Familiarity with additional data processing or integration technologies Experience with graphical or low-code data development tools (for example Ab Initio) Understanding of data modelling concepts Experience translating business requirements into technical solutions Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
