21664 jobs found

About you You're happy working across teams and departments to align and coordinate the development and delivery of data centric solutions. You spot risks and opportunities and fill in the gaps between delivery teams. You help remove blockers throughout the data supply chain. You produce demos and MVPs for analysis to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. Role Responsibilities Coordinate across teams to ensure consistent data product development and utilisation, establishing and delivering the defined data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. Advocate for teams delivering data as a product. Collaborate on the design of the research data ecosystem, addressing disambiguation, data product creation, API development, model building, harmonisation, standardisation, and governance. Adopt company standardised technology, including cloud platforms, and collaborate with technology teams to improve offerings. Consider the best technology for data teams, given a spectrum of technical literacy. Work with data privacy and governance teams to ensure data security and appropriate accessibility, adhering to relevant regulations (e.g., GDPR). Build relationships with other departments/disciplines/groups to ensure alignment and collaboration. Clarify constraints, trade offs, or important decisions to non technical stakeholders. Introduce business and product leaders to data and data engineering concepts and align solutions to user and business needs. Foster a safe and collaborative technical community, growing technical knowledge and cultivating knowledge sharing in and across teams. Provide data related technical and architectural assistance to product delivery teams and IT when needed. Assist and support tech leads and senior developers to help unblock issues. What you will be doing 1 month Collaborate with key stakeholders (product managers, engineers, architects) to understand the current state of the research data landscape and identify immediate opportunities for improvement. Document the as is data/technical landscape for research data and the wider domain. Begin building relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles. Start to map out the existing data sources and identify potential issues that need to be addressed. 3 months Maintain a high level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6 12 months, and present to senior leadership. Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms. Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements. Create an architectural forum to bring together architects and tech leads in the research data initiatives. 6 months Based on feedback from initial delivery, refine the roadmap and architecture, incorporating lessons learned and adjusting priorities as needed. Scale the successful approaches to other areas of the research data ecosystem, empowering teams. Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organisational goals. Skills & Experience Essential Proven experience designing, delivering, and scaling data intensive applications. Demonstrated ability to architect data solutions that meet performance, scalability, and security requirements. Experience working on transformation projects involving introducing new technologies and ways of working within a business. Ability to drive adoption of new data architectures and technologies. Ability to clarify and uncover technical requirements, risks, and opportunities with tech leads and collaborators. Experience translating business needs into technical specifications. Advocacy for and enforcement of cross functional technical and data requirements (e.g., GDPR, security, operability). Deep, demonstrable experience delivering with various types of databases and design, including relational databases, NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault). Hands on experience with cloud data platforms and services (AWS, Azure, GCP). Familiarity with cloud native data architectures and technologies. Desirable Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. For all roles in all locations, we offer a competitive, industry benchmarked salary. To find out more about the package provided at each location, visit

Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. As a Staff Engineer at Depop, you'll be a technical leader, driving our engineering excellence and solving our most challenging problems. You'll work in Depop's iOS Platform team and will collaborate closely with cross-functional teams and leaders in the company, making high-impact decisions that accelerate engineering efforts, define the long-term technical direction for iOS at Depop, and align with our business strategy. Your iOS expertise will not only guide your team but also build followership across the wider engineering community, mentoring others and promoting a culture of high standards and quality. Want to find out more about Depop & our engineering team? Take a look at our blog! We write about technology, people and smart engineering - / Responsibilities: Contribute high-impact code and design well-documented software that boosts team productivity and ensures scalability. Guide technical decisions for both engineering and non-technical stakeholders, preventing costly rework. Act as a trusted advisor, mentoring engineers to improve their effectiveness and technical skills. Act as a strategic partner to engineering and product leadership, providing a strong viewpoint on the architecture and development processes needed to enable the business to move faster and build more effectively. Collaborate across teams and navigate sophisticated situations to foster strong partnerships. Proactively identify and tackle ambiguous technical problems that improve team productivity and enhance system reliability. Ensure platform health and implement high standards, leading swift incident resolution and minimising major incidents. Promote a culture of high standards and accountability, leading by example and inspiring excellence. Lead cross-functional initiatives to modernise the iOS app and improve developer velocity, collaborating with other teams to unblock and accelerate key business goals." Drive technical guilds and working groups to share knowledge, build consensus, and deliver on the long-term iOS vision by bringing other engineers along on the journey. Leverage deep domain expertise to define and champion the long-term architectural vision for the iOS application, guiding prioritisation in line with business goals and new advancements in the iOS space. Qualifications: Strong communication and collaboration skills with both technical and non-technical teams. Proven track record of designing and delivering a long-term technical vision for complex, large-scale mobile applications. Proven ability to lead technical decisions and drive projects to completion. Experience mentoring and coaching developers at any level. Experience identifying and driving solutions for ambiguous and complex technical challenges at scale, demonstrating a clear "been there, done that" perspective. Essential skills: Expert Swift/iOS engineer with deep knowledge of the platform; rigorous testing with XCTest and XCUITest Building and maintaining modular mobile frameworks; dependency management with Swift Package Manager Deep understanding of MVVM and VIPER; and dependency injection Proficient with both UIKit and SwiftUI Proficiency in CI/CD and release management process; TestFlight, phased rollouts, feature flags, A/B testing, crash analytics App lifecycle, deep links/universal links, push notifications, background execution modes Understanding operational and non-functional requirements (such as resilience, performance and observability) and how solutions are implemented and tested) Desirable experience: Design systems and reusable component libraries, design tokens, accessibility Experience with tools such as Postman, Charles/Proxyman, Bitrise (or Xcode Cloud/GitHub Actions/CircleCI) Comfortable with Agile methods (Scrum/Kanban) and iterative delivery Experience working cross teams and cross platform, Android, Web, Backend Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

We're looking for a Product Technical Lead to take ownership of our established AI enabled software product, guiding it through its next phase of evolution - roadmap features, scalability, and user experience as it grows in reach and capability. At the same time, you'll play a key role in shaping and building new product ideas from the ground up, helping Daintta expand its digital product portfolio. This is a hands-on leadership role that blends strategic technical direction with active development. You'll work closely with product and business teams to define roadmaps, make architectural decisions, and deliver high-quality, production-ready software that meets real-world needs. If you enjoy balancing long-term vision with practical delivery refining proven systems while exploring new opportunities this role offers both. Key Responsibilities Lead the technical design, architecture, and implementation of a complex, user-facing software product. Write high-quality backend code in Python, taking features from definition through to release. Work closely with the Product Manager to translate product goals into technical plans, milestones, and deliverables. Make key architectural and implementation decisions to ensure scalability, performance, and maintainability. Guide the development team through Agile delivery cycles, leading sprint planning, reviews, and retrospectives. Establish and uphold engineering best practices, code quality, testing, documentation, and security. Conduct code reviews and mentor developers, supporting their technical growth and productivity. Collaborate with UX/UI designers to ensure technical feasibility and excellent user experience. Continuously improve the development process and infrastructure to enhance product velocity and quality. Skills/knowledge Degree educated, with extensive industry experience. Strong background in software engineering, ideally with experience delivering end-to-end software products. Proven ability to lead or mentor development teams within an Agile environment. Advanced Python development skills, ideally with FastAPI or similar frameworks. Strong understanding of relational databases, schema design, and SQL. Familiarity with front-end development (TypeScript, React) is highly desirable. Experience designing scalable systems and working with cloud infrastructure and CI/CD pipelines. Excellent communication skills, able to collaborate with both technical and non-technical stakeholders. A product-oriented mindset, you care about users, usability, and delivering tangible outcomes. Experience in cyber security, data-driven applications, or SaaS platforms is advantageous. Benefits We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off: 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Health & Wellness: Comprehensive Private Health Insurance Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Financial Benefits: 5% pension contribution Discretionary company awards and bonuses, based on performance and company targets Access to Electric Vehicle (EV) Salary Sacrifice scheme Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Perks Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see

Senior Security Architect - 6 Month Contract (Inside IR35) Jersey - 75% Onsite 6-Month Initial Contract(Potential Extension) We are seeking an experiencedSenior Security Architectto join a major healthcare transformation programme. This is a critical role responsible for defining and governing security architecture across a complex connected healthcare environment, ensuring robust cyber security controls are embedded throughout cloud, infrastructure, application and data architectures. As the recognised security authority for the programme, you will provide strategic leadership, technical governance and security architecture expertise to support the delivery of secure healthcare services and digital platforms. Key Responsibilities Security Architecture & Technical Leadership Define and maintain the cyber security architecture framework, including security principles, standards, patterns and reference architectures. Act as the senior security authority across multiple programmes and projects. Ensure alignment between security architecture, enterprise architecture and industry best practice. Provide expert guidance to technical teams, programme stakeholders and senior leadership. Identity, Data & Infrastructure Security Design and govern modern Identity & Access Management (IAM) architectures. Establish secure approaches for data classification, encryption and privacy protection. Oversee the secure design of networks, APIs, integrations, middleware and third-party connectivity. Ensure new solutions support centralised logging, monitoring and security operations requirements. Design Authority & Security Assurance Serve as the Security Design Authority across infrastructure, network, application and data domains. Review, challenge and approve architecture and design artefacts. Embed security principles early within development, engineering and procurement lifecycles. Ensure adherence to security policies, standards and regulatory requirements. Risk Management & Threat Modelling Lead threat modelling activities across new and existing systems. Identify security risks and define practical mitigation strategies. Maintain and manage cyber risk registers, translating technical risks into business-focused language. Drive security improvements across cloud, hybrid and integrated technology environments. Essential Experience Proven experience operating as aSenior Security Architectwithin complex, large-scale and highly regulated environments. Strong expertise across: Security Architecture Identity & Access Management (IAM) Cloud and Hybrid Security Data Protection & Encryption Network Security & Secure Integration Security Governance and Risk Management Threat Modelling Extensive experience working with recognised security frameworks and standards, including: ISO 27001 NIST Excellent stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences. Desirable Experience Experience or architectural knowledge of the following technologies would be advantageous: Qualys (Vulnerability Management) Darktrace (Network Threat Detection) Zscaler (Secure Service Edge / SSE) Microsoft Sentinel (SIEM / Security Operations) Contract Details Contract Length:6 Months IR35 Status:Inside IR35 Location:Jersey Onsite Requirement:Minimum 75% onsite Extension:Potential for extension Apply Now This is an excellent opportunity for a highly experienced Security Architect to play a key role in securing a major healthcare transformation programme, helping to deliver resilient, secure and innovative digital healthcare services. For further information or to apply, please submit your CV today.

For this role, it is important you live in commuting distance to one of our offices: Darlington, Copenhagen, Berlin or Rotterdam. As our High Voltage Power Cable Expert , you'll play a key role in some of the world's most exciting renewable technology projects. We're passionate about our work and love driving innovation to shape a sustainable future. In this role, you'll help our clients with their subsea cable projects, making sure everything runs safely, efficiently, and according to the latest standards and insights. Anchoring Your Impact: Design power cables: Perform conceptual design and develop specifications for submarine power cables. Strategical direction: Create owners' strategies for cable purchase, manufacturing, installation, operation and maintenance. Review and align requirements: Evaluate the requirements, coordinate with and align stakeholders to achieve a cost-efficient set of employer requirements. Cable production control: Specify cable design & test requirements, review production documentation, factory audits, act as employer's representative during cable production and tests. Support IT and tender process: Develop tender documents, evaluate offers, supplier audits and technically support the contracting process. State-of-the art: stay ahead of the industry by participating in international conferences, communities etc. Learn from mistakes: technically lead cable fault investigations. You've got it: You are an experienced HV Cable Engineer with 7+ years of experience in the following topics: cable design, new developments, specifications, production documentation, test programs, ITP documentation, manufacturing, quality surveillance, cable handling, audits etc. You have an academic master degree in electrical engineering or similar. You are driven to be the go-to person in your field of expertise, always ahead of the game and constantly on the lookout for more, new knowledge. A big plus if you love to indulge yourself in sustainability topics. Your communication skills? We value them highly. From making a difference in owner's strategies to negotiations with authorities, you know how to get your point across and communicate openly. And of course, you can also isolate yourself, put on your headphones, and dive into a challenge. Going the extra mile for the team? You're the first one to raise your hand. When a project takes an unexpected turn, you don't panic. You quickly weigh the options, make a plan and adapt. Why You'll Love It Here 30 holidays on a full-time basis (and the possibility of buying more if 30 just isn't enough!) Your future covered with a pension plan You can work from everywhere: from home or from one of our offices in The Netherlands, United Kingdom, Germany and Denmark. You own your schedule - plan your workday in the way that works best for you. Our bonus scheme based on personal and company goals Embrace lifelong learning with our very own Primo Academy and develop yourself a bit more every day. Enjoy our special Primo culture! A BBQ to celebrate the opening of a new office, monthly Lunch & Learn sessions, Thursday afternoon drinks at the terrace or joining our running club ( participation not mandatory ) - only this enables the excellent results we achieve. : ( the pension scheme differs per country) Are you a Primo? A great communicator, having the expertise and growing together - that's what we do at Primo Marine.Apply now and be part of the journey! "My colleagues at Primo Marine have been extremely friendly, approachable and knowledgeable. It is critical to work in an environment where you can be yourself and trust your colleagues. I have found this at Primo Marine." - Femi , Senior Expert Who are we? At Primo, our clients are at the center of everything we do. With over 300 projects under our belt, we bring deep industry knowledge to every job. We value the fun and joy of working together, both with our clients and within our team. We believe in teamwork, sharing the workload, and investing in activities together. Want to get to know us better? Get a feeling of what it is like working for Primo Marine:

Tether is seeking a Senior Applied ML Engineer to design and build backend systems for a media intelligence platform. This includes architecting scalable services for media ingestion and processing, collaborating with teams, and optimizing AI/ML workflows. The ideal candidate has 5-7 years of backend engineering experience and a strong background in integrating AI systems. The position emphasizes clean design, reliability, and system performance.

Ready to architect the technology backbone behind a fast-growing organizationin Birmingham? Our client is seeking a Data Platform Architect to design and lead a modern enterprise data platform that powers critical business decisions across hundreds of locations. This is a unique opportunity to blend architecture, hands-on development, AI innovation, and executive collaboration while building systems at a significant scale. C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future. Benefits & Extras Opportunity to architect enterprise-wide data and integration platforms Highly visible role partnering directly with executive leadership Hands-on influence over AI-driven engineering initiatives and automation Fast-growing organization with large-scale technical challenges Hybrid work environment in Birmingham, AL Annual bonus opportunity Collaborative team focused on innovation and modern technologies Compensation $115,000 - $140,000 base salary + bonus eligible What You'll Be Doing Define and lead the target-state architecture for enterprise data platforms Design data ingestion, storage, modeling, governance, and serving solutions Build and support event-driven systems utilizing APIs, CDC, messaging platforms, and Kubernetes Drive AI-assisted engineering and development automation initiatives Establish data quality standards, governance, and security controls Lead architecture reviews and mentor engineering teams Translate business objectives into scalable technical roadmaps What You'll Need to be Considered Strong expertise with SQL Server, SSAS, Azure Data Factory, and T-SQL Experience with ClickHouse, Snowflake, BigQuery, Databricks, or similar columnar platforms Production-level development experience in Python and/or Go Experience designing event-driven architectures utilizing REST, Kafka, NATS, or CDC Experience operating workloads within Kubernetes environments Ability to drive AI-assisted engineering initiatives and platform strategy

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase accelerates the firm's data and analytics journey. It ensures data quality, integrity, security, and leverages data to generate insights and drive decision making. CDAO also develops and implements solutions that support commercial goals by harnessing artificial intelligence and machine learning to create new products, improve productivity, and enhance risk management responsibly. As a Lead Technical Program Manager in the CDAO, you will lead complex, multi functional technology projects and programs that impact experiences for clients, employees, and stakeholders. You will translate business, technical, and operational objectives into actionable plans, navigate ambiguity, and drive change. With technical fluency, you will manage resources, budgets, and cross functional teams to deliver innovative solutions that align with strategic goals. Your communication and influencing skills will foster productive relationships, ensure alignment, and manage risk. You will contribute to developing new policies and processes, shaping the technology landscape. Job Responsibilities Create and maintain detailed project plans, timelines, and delivery schedules for assigned programs. Manage day to day program execution using JIRA, Confluence, and other project management tools, ensuring accurate tracking of user stories, epics, and sprint progress. Facilitate agile ceremonies, including sprint planning, daily standups, retrospectives, and backlog grooming sessions with engineering teams. Maintain comprehensive program documentation, including status reports, risk registers, RAID logs, and dependency matrices. Oversee engineering risks, issues, and dependencies for assigned programs. Engage with stakeholders, including customers within the lines of businesses. Guide selection and implementation of appropriate technologies, platforms, and software tools leveraging technical fluency. Champion continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologies. Partner with the product organization to drive business outcomes, ensuring that technical programs align with strategic business goals. Prepare and deliver regular status updates and presentations to program stakeholders and leadership, communicating progress, risks, and blockers. Required Qualifications, Capabilities, and Skills 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations. Hands on experience with agile project management tools (JIRA, Confluence, MS Project) and proven ability to maintain accurate program artifacts and metrics. Demonstrated proficiency in technical solutions, vendor product knowledge, managing vendor relations, and implementing solutions. Strong analytical reasoning skills, applying critical thinking and problem solving techniques to break down business, technical, and operational objectives. Proven ability to lead through change, manage dependencies, and control change in high pressure, shifting environments. Strong stakeholder management skills, establishing productive relationships and driving beneficial outcomes aligned with firm objectives. Understanding of data platform trade offs, including performance optimization, cost management, scalability, and operational excellence. Deep technical understanding of modern data platform architectures, including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks. Experience with enterprise scale implementations of cloud native data platforms such as Databricks and Snowflake. Good understanding of AWS data analytics services (Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, S3 data lake patterns) with demonstrated experience architecting end to end data solutions. Experience navigating complex data governance, security, and compliance requirements across multi cloud and hybrid data environments at enterprise scale. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. Role The Colo Engineering and Performance team owns system level application performance in our colos. It provides developers with crucial insight and recommendations for improvement, as well as the information required to determine the most effective hardware and operating system configurations for each site. Key Responsibilities Develop high performance, low latency systems. Collaborate closely with quantitative researchers and developers. Design and optimise rapid trading systems end to end. Apply low level systems programming and optimisation using languages such as C, C++ or similar. Analyse and improve application performance using hardware counters and profiling tools. Qualifications Expertise in low level systems programming and optimisation for extremely low latency, high throughput network applications. Deep understanding of modern computer architecture including cache hierarchies of modern processors. Experience with fast packet processing in user space and familiarity with kernel bypass techniques such as Solarflare OpenOnload, TPCDirect, ef_vi, InfiniBand verbs, DPDK or similar. Experience optimising performance in managed runtime languages such as C# is desirable. Financial market knowledge is not required. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided via Just Eat for Business and dedicated barista bar. 35 days' annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. EEO & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. If you have a disability or special need that requires accommodation, please let us know in the relevant section. At G Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.

Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from either our High Wycombe or London offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibits discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact and we will talk to you about how we can support you.

Zayo Europe is seeking a highly capable Solution Engineer to join the London team. This senior individual contributor role significantly influences customer outcomes, technical strategy and commercial success across the United Kingdom and mainland Europe. Key Responsibilities Lead technical discovery, qualification and shaping of customer opportunities; coach Account Executives on services, design principles and customer engagement techniques. Translate complex technical topics into clear, compelling narratives and drive opportunity progression. Attend customer meetings at all levels, deliver high quality presentations and proposals across business, technical and operational audiences. Own the design of end to end network solutions across dark fibre, optical transport, wavelength services, Ethernet, routed services, cloud edge connectivity and private networking. Produce complete design documentation including diagrams, capacity models, resilience patterns and bill of materials details, ensuring adherence to Zayo's architecture principles and operational standards. Serve as the technical authority for complex opportunities requiring Individual Case Basis evaluation. Produce accurate responses for RFPs, RFIs and formal tenders; validate technical requirements, dependencies, risks and assumptions before submission. Translate technical designs into customer ready documentation suitable for contract signature and delivery processes. Collaborate with the design team for standard solutions while providing governance and escalation support for complex design work. Work closely with Engineering, Product, Delivery and Operations to confirm feasibility and ensure design accuracy. Maintain detailed design notes, version controlled documentation and internal system updates; participate in continuous improvement of tools, reference architectures and processes. Maintain broad and current knowledge of industry standards for optical networking, Ethernet transport, routed networks and cloud interconnection; contribute to technical forums, architecture reviews and engineering excellence initiatives. Required Experience and Skills Experience in solution engineering, network architecture or technical pre sales within telecommunications, cloud infrastructure or carrier environments. Strong understanding of optical networking, wavelength services, Ethernet transport, routed networks, cloud connectivity and hybrid networking patterns. Ability to create accurate design diagrams using Lucidchart, supported by detailed capacity models and design documentation. Experience supporting enterprise, public sector, financial services or wholesale carrier customers. Strong communication skills for explaining complex technical topics to technical and non technical audiences. Proficiency in Microsoft PowerPoint, Excel and Word. Strong organisational capabilities and ability to operate in a fast paced environment. Constructive collaboration and teamwork skills. Preferred Experience Designing high capacity optical transmission, including coherent optical systems and high bandwidth wavelength services. Familiarity with industry standards governing Ethernet transport, optical transmission and routed networks. Experience with cloud networking, including dedicated connections into Amazon Web Services, Microsoft Azure or Google Cloud Platform. Understanding of security topics such as protection from distributed denial of service attacks, segmentation and secure edge design. Experience with multi vendor environments including Ciena, Cisco, Juniper, Infinera and Arista. Background supporting large scale enterprise transformations or diversity focused networking programmes. Location and Working Pattern Primary location: London. Hybrid model: typically two to three days per week in the office, with occasional travel across the United Kingdom and mainland Europe. Benefits Competitive compensation including a sales incentive plan. Hybrid working arrangements. Health, disability and life insurance. Pension with higher employer contributions up to 8%. Retail and fitness membership discounts. Generous paid time off policy, including 25 days paid time off, one floating day and two volunteer days off per annum. Employee assistance programs including mental health, wellbeing and medical support. Equality and Inclusion Zayo Europe provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability.

MOO is a design-led, technology and manufacturing business that operates in the global print and branded merchandise market. The company is a leader in the market's premium segment, with premium products and compelling ESG credentials. Customers are typically brand conscious SMEs based in North America, the UK, and Europe. MOO's relentless focus on the customer has helped create an award-winning and much-loved brand, with exceptional customer satisfaction ratings. A recipient of British business's highest award, 'The Queen's Award for Enterprise', MOO has also been profiled in the Financial Times, was ranked in the top 10 UK start-up companies by the Guardian Newspaper, and is part of the 'Future 50'. Founded in 2004, MOO employs 400 people today, and is headquartered in the UK, but with the majority of sales and key operations in the USA. The company has raised Venture Capital from Index Ventures, Accomplice, and LocalGlobe. We're looking for a hands-on Head of Security to build and scale our security, privacy, and resilience capabilities across the business. This role combines strategic leadership with operational delivery, partnering closely with Technology, Product, Legal, and Leadership teams to protect customer trust while enabling growth and innovation. You'll define and lead our security strategy, establish governance and compliance frameworks, strengthen cloud and third-party security, and drive incident response and resilience planning across the organisation. Responsibilities As our security leader, you will bring a hands-on, builder mindset to establish a security-first, privacy-centric, and resilient organisation. Your focus will span four key pillars: Strategic Security Leadership & Governance Strategy & Roadmap: Define and execute a business-aligned information security strategy, prioritizing compliance, privacy, AppSec, and resilience. Governance & Reporting: Chair the Security Governance Forum, define risk appetite and KRIs, and manage a quarterly board-level reporting cadence. Security Guardrails: Drive the near-term adoption of UK Cyber Essentials and CIS AWS Foundations, establishing centralized monitoring and alerting (via Wiz/Security Hub). Data Privacy & Compliance End-to-End Privacy: Own the GDPR and PCI-DSS compliance programmes, embedding "Privacy by Design" and data minimization directly into our delivery processes. Legal Partnership: Collaborate with Legal to manage DPAs, transfer mechanisms, and data classification standards across the business. Audit Readiness: Keep the organization continuously prepared for external compliance audits and regulatory assessments. Incident Response & Business Resilience Incident Command: Own the incident response plan, acting as incident commander during crises and managing executive, customer, and regulator communications. BC/DR Architecture: Define and test disaster recovery strategies to meet strict RTO/RPO targets of 12 hours, covering critical scenarios such as AWS region outages or database loss. Simulation Cadence: Lead quarterly cross functional tabletop exercises and live simulations to keep our response teams sharp. Third-Party & Cloud Security Vendor Risk Management: Establish pre procurement security gates, continuous monitoring SLAs, and clear breach notification obligations in supplier contracts. Cloud Posture: Partner with Technology to drive cloud security posture management (IAM, network segmentation, encryption, secrets management). SaaS Governance: Tighten SaaS ownership and eliminate shadow IT across the business. About You Experience & Expertise 10+ years' experience in information security, including leadership-level responsibility Proven experience building and scaling security and privacy programmes within growing organisations Strong hands-on knowledge of GDPR, PCI-DSS, incident response, and resilience planning Experience working within cloud-first environments, ideally AWS Strong understanding of security within e-commerce, fintech, or customer-data-led businesses Comfortable operating as both a strategic leader and hands-on practitioner Leadership & Communication Excellent stakeholder management and executive communication skills Able to translate complex security and privacy risks into practical business decisions Collaborative and pragmatic approach, balancing security with business delivery and innovation Strong cross-functional partnership experience across Engineering, Product, Legal, Finance, and Operations A builder mindset with a focus on continuous improvement and enablement rather than gatekeeping What's it like to work at MOO? MOO's the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. We want to help you grow in your career and set you up for success - while also recognising the importance of a healthy work life balance. That's why we offer 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave. We'll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme. We also offer flexible work schedules with hybrid and remote working for certain roles as well as a Work From Anywhere program. Diversity Statement We are working hard to create a representative, inclusive and super friendly team, because we know that different experiences, perspectives and backgrounds make for a better workplace. And that creates a better experience for our customers. MOO doesn't discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. So we strive to create a values driven, purposeful and highly empowered organisation that we are all proud to work for. And we are committed to continuous investment in building an open and inclusive environment, welcoming a diverse audience of candidates who see themselves working and thriving at MOO. Therefore, we'd like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. Completing this form is entirely voluntary and if you decide not to it won't in any way affect your job application. We keep the information separate from your application and it is kept secure and confidential, it is only used to better our inclusion and diversity efforts.By submitting this information, you consent to MOO's processing of it for these purposes.

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. This role is based in our London office. We use a hybrid work model (3 days per week in the office) and offer relocation assistance for new employees. In this role, you will: Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Equal Opportunity Employment We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Policy and Compliance For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws. We are committed to providing reasonable accommodations to applicants with disabilities. Privacy and Contact OpenAI Global Applicant Privacy Policy

Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.