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At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in class solutions, driving end to end transformation, and integrating cutting edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands on problem solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. The Role: We are seeking an exceptionalStaff Generative AI Engineerto join our team. This is a critical,deeply hands onrole for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deployingreal world, commercial production systems, not just proofs of concept. This is an Individual Contributor (IC) role with no direct people management responsibilities. Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you. As a Staff Generative AI Engineer, you will: Architect & Build Production Systems:Lead the hands on development of sophisticated Generative AI applications, LLM powered solutions, and intricate agentic frameworks primarily usingPython. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems. Pioneer Automation with Agents:Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale. Master Containerized Deployments:Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications withinOpenShiftenvironments. Drive Technical Direction & Ownership:Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production ready. Champion Engineering Excellence:Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission critical systems running in production. Innovate & Research:Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state of the art AI assisted development tools likeDevin and Copilotto amplify your productivity and creativity. Mentor & Collaborate:Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross functional teams, product managers, and stakeholders to deliver impactful solutions. Iterate & Deliver:Thrive in an agile, fast paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind. Ensure Responsible AI:Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards. Minimum Qualifications: Proven professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise grade solutionsin commercial production environments, not just proofs of concept. Expert level proficiency in Python is a must have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full stack development experience is a distinct advantage. Extensive hands on experience withGenerative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience withcontainers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop, and deploy highly performant, large scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ. Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications. Practical experience in model risk management, developing AI guardrails, and establishing end user adoption pathways for Generative AI solutions. A proven track record of contributing to open source projects or publishing relevant research in AI/ML. Why You'll Love Working Here: Unprecedented Impact & Visibility:Contribute to critical, high visibility projects that are transforming a global enterprise, working on firm wide initiatives that directly influence our operational future. Cutting Edge Technology:Work with the latest Generative AI models, agentic frameworks, and cloud native technologies, enhanced by access to AI assisted development tools like Devin and Copilot. Growth & Development:A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources includingUdemy for Business and Pluralsight. Collaborative Environment:Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success. Flexible Work Environment:Embrace a hybrid working model, balancing productive in office collaboration (3 days) with the flexibility of working from home (up to 2 days). Global Scale:Build solutions that operate at a massive scale, impacting users and operations worldwide. Join us to build the future of intelligent enterprise solutions! Job Family Group: Technology Job Family: Systems & Engineering Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster.

Overview At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.We're dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We're always striving to identify talented individuals to join our exceptional teams.At QIAGEN, every day is an opportunity to make a real-life impact.Join us, grow with us, and together, let's shape the future of biological discovery.Position DescriptionWe are looking for a Regional Business Manager to lead the commercial performance and market expansion of our QIAstat Dx syndromic testing portfolio across the UK & Ireland. In this role, you will own regional strategy, revenue delivery, team and partner collaboration, and cross-functional execution to bring impactful testing solutions to healthcare providers and patients.Your Tasks: Develop and implement the regional business strategy for the QIAstat-Dx portfolio, aligned with global and EMEA priorities. Act as regional product and market expert for syndromic testing and molecular diagnostics. Own regional sales performance, driving instrument placements, menu utilisation and recurring consumables growth creating tactical plans to accelerate adoption within key accounts, networks, and strategic customers. Identify and drive market expansion opportunities, including new clinical applications and healthcare networks. Develop regional sales teams and partner/distributor networks to ensure high performance and compliance. Support complex sales engagements, evaluations, tenders, and strategic customer discussions. Provide accurate forecasting, business insights and market intelligence to support strategic decision-making. Build strong relationships with key stakeholders including laboratory leaders, KOLs, clinicians, procurement bodies and healthcare networks. Collaborate with Marketing, Medical Affairs, Product Management, and other functions to execute campaigns and initiatives.Your Profile: A degree in Life Sciences, Microbiology, Biomedical Sciences or a related field (advanced degree is an advantage). 5+ years of commercial experience in molecular diagnostics, infectious diseases or related healthcare markets. Proven success with syndromic testing or cartridge based/ multiplex molecular diagnostic solutions. Experience managing regional businesses, sales teams or key accounts within the UK & Ireland healthcare ecosystem. Strong understanding of procurement pathways, reimbursement structures and laboratory networks. A results driven commercial mindset, strong communication skills and the ability to work effectively in a matrix environment. Based in the UK with the availability and willingness to travel across the UK & Ireland as required (minimum 50%). What we offer Attractive pension Private Healthcare and Dentalcare Gym membership contribution A range of retail discounts and offers Enhanced maternity package Flexible working options Bonus/commission 25 days annual leave (potential to increase linked to service) Employee Assistance Program and internal QIAGEN communities Hybrid work (conditional to your role)Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve.We inspire with our leadership and make an impact with our actions.We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.QIAGEN 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, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.

INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. WHAT WE LOOK FOR Goldman Sachs Internal Auditors demonstrate strong risk and control mindsets, analytical, exercise professional skepticism and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, building relationships and are able to evolve and thrive in teamwork and in a fast-paced global environment. YOUR IMPACT As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's governance processes and controls, and risk management and capital and anti-financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. In doing so, internal Audit: Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm's control culture and conduct risks Monitors management's implementation of control measures Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. RESPONSIBILITIES Have extensive audit experience relating to EU consumer compliance and the provision of an on-line digital savings/deposit proposition, including new business initiatives Assist in every step of an audit, including scoping, planning, fieldwork and reporting Execute audit testing and supervise junior team members to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business clients Follow-up on open audit issues and their resolution Assist in the audit team's continuous monitoring effort to cover market and regulatory events, business and technology updates and audit/reviews completed Participate in department-wide initiatives aimed at continually improving IA's processes and supporting infrastructure SKILLS AND RELEVANT EXPERIENCE In-depth technical knowledge of EU consumer and depositor protection regulation, Irish consumer protection regulation, and different regulatory requirements during the lifecycle of consumer products (e.g. product and service design through to implementation, ongoing customer support and marketing) 8+ years of experience in internal audit, external audit or a related control function, preferably relating to an on-line digital savings/deposit proposition An undergraduate degree in finance, accounting, or quantitative discipline Relevant certification or industry accreditation (e.g., ICAEW, ICAS, CFA) is a plus Experience with Data Analytics and Artificial Intelligence is a plus Experience in managing integrated business and technology audit engagements and/or projects Team-oriented with a strong sense of ownership and accountability Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Solid analytical skills ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. DISABILITY STATEMENT We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: EEO STATEMENT Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.

Fire Door Technician page is loaded Fire Door Technicianremote type: On-sitelocations: Greater Manchester, GBRtime type: Full timeposted on: Vandaag geplaatstjob requisition id: REQ482543 JLL empowers you to shape a brighter way .Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Fire Door Technician - Van + Career Progression Mobile role based in Manchester & the North - Join our rapidly expanding team Be Part of Something Big from the Ground Up Join JLL's fast-growing fire door division, a highly profitable service line launched just one year ago. As a global leader in commercial real estate, we are investing heavily to attract the best technical talent, creating exceptional career opportunities that are simply unavailable elsewhere. Your Growth Opportunity This isn't just another technician role; it's a launchpad for your career. You're joining at the perfect time to grow with us. Our early team members are already on clear paths to senior specialist and team leader positions within 12-18 months. With JLL's global backing, your ambition is the only limit. Fast-Track Progression : Real advancement opportunities as our division expands nationally. Global Company Backing : Access to the resources, training, and career networks of a Fortune 500 company. Premier Projects : Work on prestigious commercial properties for world-leading clients. Investment in You : We provide comprehensive certification training, ongoing mentoring, and a personal development plan. Founding Team Impact : Help shape the culture and practices of our growing division. What We Offer Company Van : Available for business and personal use. Complete Toolkit : Fuel card, mobile phone, and all necessary tools are provided. Career Development : An accelerated training pathway to senior and supervisory roles. Excellent Benefits : 25 days holiday (plus bank holidays), and a comprehensive pension and health scheme. Who We're Looking For We are seeking top-tier tradespeople (Carpenters, Joiners, Maintenance professionals) with a commitment to quality. While fire door experience is an advantage, we will provide full certification training for skilled candidates with the right attitude. A clean UK driving licence is essential. Above all, we want ambitious individuals ready to build a career with a dynamic, profitable division. Apply now to discuss this premier opportunity. We are hiring urgently, and applications will be reviewed immediately. Location: On-site -Greater Manchester, GBRIf this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our .For additional details please see our career site pages for each country.For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy .Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page > I want to work for JLL.At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world.For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500 company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit .

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.

Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge - Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei's Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities. This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting edge ideas into working prototypes and real world applications. Key Responsibilities Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and othersli> Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding. Design and implement new algorithms for efficient decision making under uncertainty with applications to chemistry, physics, open math problems, and robotics. Collaborate with cross functional teams to integrate research outputs into scalable systems and real world use cases. Explore novel ways to align and enhance AI agents for complex, open ended tasks. Actively engage with the broader research community through publications, talks, and open source contributions. Mentor junior researchers and contribute to the scientific culture of the team. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications.

Fire Door Technician page is loaded Fire Door Technicianremote type: On-sitelocations: London, GBRtime type: Full timeposted on: Vandaag geplaatstjob requisition id: REQ482758 JLL empowers you to shape a brighter way .Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Fire Door Technician - Van + Career Progression Mobile role based in London & the South - Join our rapidly expanding team Be Part of Something Big from the Ground Up Join JLL's fast-growing fire door division, a highly profitable service line launched just one year ago. As a global leader in commercial real estate, we are investing heavily to attract the best technical talent, creating exceptional career opportunities that are simply unavailable elsewhere. Your Growth Opportunity This isn't just another technician role; it's a launchpad for your career. You're joining at the perfect time to grow with us. Our early team members are already on clear paths to senior specialist and team leader positions within 12-18 months. With JLL's global backing, your ambition is the only limit. Fast-Track Progression : Real advancement opportunities as our division expands nationally. Global Company Backing : Access to the resources, training, and career networks of a Fortune 500 company. Premier Projects : Work on prestigious commercial properties for world-leading clients. Investment in You : We provide comprehensive certification training, ongoing mentoring, and a personal development plan. Founding Team Impact : Help shape the culture and practices of our growing division. What We Offer Company Van : Available for business and personal use. Complete Toolkit : Fuel card, mobile phone, and all necessary tools are provided. Career Development : An accelerated training pathway to senior and supervisory roles. Excellent Benefits : 25 days holiday (plus bank holidays), and a comprehensive pension and health scheme. Who We're Looking For We are seeking top-tier tradespeople (Carpenters, Joiners, Maintenance professionals) with a commitment to quality. While fire door experience is an advantage, we will provide full certification training for skilled candidates with the right attitude. A clean UK driving licence is essential. Above all, we want ambitious individuals ready to build a career with a dynamic, profitable division. Apply now to discuss this premier opportunity. We are hiring urgently, and applications will be reviewed immediately. Location: On-site -London, GBRIf this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our .For additional details please see our career site pages for each country.For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy .Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page > I want to work for JLL.At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world.For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500 company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit .

About Outreach Outreach, founded in 2014, is the only complete AI Revenue Workflow Platform that helps sales leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. Outreach infuses agentic AI to power 100s of use cases across sales motions. From new logo prospecting to renewal and expansion, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Global organizations use Outreach to power their revenue teams, including SAP, Siemens, Snowflake, ZoomInfo, and Verizon to name a few. To learn more, please visit . About the Team Customer Success at Outreach exists to drive measurable business outcomes by embedding Outreach into the core revenue workflows of our customers. We partner strategically across Sales, RevOps, Enablement, and Leadership teams to remove barriers to adoption, optimise performance, and support long term retention and growth. Our focus is not only customer satisfaction - it is operational impact. We align cross functional stakeholders internally and externally to ensure Outreach drives real business results. The Role At Outreach, Customer Success Managers are revenue accelerators and AI adoption drivers. As a CSM II, you are accountable for driving measurable customer outcomes, accelerating AI powered workflow adoption, and owning the retention strategy across your book of business. While Client Account Executives lead commercial negotiations, you ensure customers realise sustained value, embed Outreach deeply into their revenue processes, and position the account for long term growth. This is a high ownership, high impact role requiring strategic thinking, commercial awareness, and the ability to translate product usage into executive level business value. We value strategic thinking, curiosity, collaboration, and accountability in equal measure. Location: London (2 days per week in office) Your Daily Impact Drive Measurable Customer Outcomes Own outcome based success plans aligned to customer business objectives, renewal timelines, and long term growth strategy Translate customer goals into structured adoption and AI acceleration plans Identify and close value gaps early, ensuring adoption drives measurable business impact Embed renewal readiness into every engagement as a byproduct of demonstrated success Accelerate AI & Workflow Transformation Support customers in advancing their AI adoption maturity across their revenue workflows. Analyze Outreach AI usage and workflow performance to identify optimization and expansion opportunities Educate customers on evolving AI capabilities and proactively recommend adoption strategies Position AI driven efficiency gains in business terms such as pipeline velocity, win rates, rep productivity, and forecasting accuracy Own the Value Narrative Translate adoption, AI usage, and performance data into executive ready ROI stories Present quantified value metrics in Quarterly Business Reviews and strategic planning sessions Connect product usage to the metrics that matter to Sales Leaders, RevOps, and the C Suite Help customers articulate Outreach's impact internally to strengthen executive sponsorship Lead Proactive Retention Strategy Own the retention strategy across your book of business, partnering with the Client Account Executive to ensure renewal readiness and account growth Identify leading indicators of risk and define clear mitigation plans early Identify and thoughtfully explore expansion opportunities based on demonstrated value. Build and maintain multi threaded relationships (3-5+ stakeholders per account), mapping power and influence to reduce single thread risk and strengthen renewal and expansion strategy. Operate with High Ownership Take clear ownership of your accounts from onboarding through renewal and growth, ensuring alignment, continuity, and long term success. Proactively move initiatives forward while aligning stakeholders and maintaining shared clarity on next steps. Think strategically and act with purpose across multiple concurrent priorities Maintain disciplined account planning, forecasting hygiene, and internal alignment Collaborate Cross Functionally Partner with Professional Services on onboarding and value acceleration Partner with Sales on renewal and expansion strategy Provide structured feedback to Product, representing the voice of your book of business Coordinate internal resources to remove roadblocks and maximise customer experience Our Vision of You 3+ years of experience in Customer Success, Account Management, or a related SaaS role supporting complex software and business transformation Proven experience managing a book of 30-50 accounts while driving measurable adoption and retention outcomes Demonstrated ability to influence commercial outcomes without directly owning pricing Strong understanding of modern revenue processes, sales execution, or go to market strategies Experience presenting quantified business impact and ROI to senior stakeholders Data fluent: able to analyse usage metrics and translate insights into action plans Comfortable discussing AI driven workflows, automation, and performance optimisation Strong strategic and critical thinking skills Excellent prioritisation and time management in a fast paced environment High emotional intelligence and ability to build trust across all levels of an organisation Strong written and verbal communication skills, with the ability to tailor messaging to different audiences Self starter with a high sense of ownership and accountability Bachelor's degree or equivalent practical experience How EMEA CS Operates We communicate openly, early, and often We take ownership from start to finish We are proactive We build relationships at every level We think strategically and act with purpose We learn and adapt Why You'll Love It Here 25 days holiday + 8 bank holidays Outreach contributes with monthly contribution towards your pension Private medical care for employee and spouse/family with Program Health Plus Cash plan is offered through Medicash to help offset out of pocket medical related expenses Dental coverage Life insurance at 4x annual salary 16 weeks of annual top up maternity leave pay or 8 weeks of fully paid paternity leave A parental leave program that includes not just extended time off but options for a paid night nurse Opportunity to be part of company success via equity program Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military Employee referral bonuses to encourage the addition of great new people to the team Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

CHEQ is the Intelligence Standard for the Human-AI Era, trusted by over 15,000 customers worldwide to confidently engage, transact, and thrive in this new era of digital transformation. Powered by award-winning cybersecurity technology, CHEQ offers the only integrated Traffic, Threat, and Identity Intelligence Engine, enabling companies to distinguish between legitimate users and bad actors - human, AI agent, or bot - and deliver granular, context-specific insights in real-time to marketing, commerce, and security platforms. CHEQ is a global company with offices in Tel-Aviv, New York, London and Tokyo. We are a fast-paced, technology-driven team where everyone's contribution impacts product success. About the Role We are seeking a data-driven and customer-focused Customer Success Manager to manage a portfolio of customers, primarily across North America. You will combine proactive account management with analytical reviews, renewal support, and scalable success programs to ensure strong adoption, retention, and measurable value delivery. If you enjoy working with data, managing multiple accounts, driving customer outcomes, and operating in a fast-paced SaaS environment - this role is for you. Responsibilities Manage and own a portfolio large scale of Mid-Market customers across their lifecycle Drive product adoption, customer engagement, and measurable value realization Conduct structured data reviews ahead of renewals (1-2 times per year), connecting platform performance to business outcomes Analyze invalid traffic trends, funnel performance, and platform usage to identify risks and growth opportunities Act as a trusted advisor on marketing security, analytics environments, and best practices Lead onboarding and technical implementation for new customers, translating their business objectives into clear execution plans that drive fast time-to-value Identify upsell and cross-sell opportunities in partnership with Account Management Lead scalable success initiatives (1:N programs, enablement materials) Represent the voice of the customer internally and contribute insights to Product and Fraud teams Requirements 2 - 4 years of experience in a client-facing SaaS role (Customer Success, Account Management, AdTech, MarTech, or Cyber) Experience managing a mid-sized portfolio of customers Strong analytical skills and data literacy High proficiency in Microsoft Excel or BI tools, with extensive experience in analyzing and presenting data to senior and C-level executives Experience with digital marketing environments (GA4, Google Ads, Tag Manager, analytics platforms) is an advantage Strong communication skills, both written and verbal Ability to manage workload across multiple accounts effectively

Internal Systems Engineering Lead Department: Internal Technology Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will join the Internal Technology team as our Internal Systems Engineering Lead (Engineering Manager) - a new and pivotal role supporting the Head of Architecture and Engineering. You will lead and develop a talented group of engineers across the Modern Workplace, Data, and System Specialist teams, ensuring that Aurora continues to deliver secure, reliable, and innovative technology solutions that empower our people and operations. You will focus on people, process, and performance - creating an environment where engineers can thrive, and delivery teams can operate effectively. Acting as a force multiplier for the Head of Architecture and Engineering, you will take ownership of line management, training, and delivery ceremonies, while collaborating on strategy and technical direction. This role will suit someone who has grown from an engineering or solutions architecture background into a leadership position, ideally with experience in the Microsoft ecosystem (M365, Azure, Exchange, Intune, SharePoint, etc) and cloud first environments. Key Responsibilities Line manage engineers across the Modern Workplace, Data, and System Specialist teams Take ownership of, run and continuously improve team ceremonies, including sprint planning, stand-ups, and retrospectives Build and maintain competency frameworks and training plans for each discipline Work closely with Head of Architecture and Engineering and lead engineers to ensure technical delivery aligns with Aurora's strategic priorities Develop and optimise delivery processes to ensure consistency, scalability, and continuous improvement, within engineering teams and in collaboration with the wider Internal Technology department Serve as a trusted point of escalation for people and performance matters Partner with the Head of Architecture and Engineering to ensure that the engineering functions operate efficiently, maintaining a strong culture of collaboration and growth alongside the wider Internal Technology department Support engineers with professional development, including coaching, mentorship, and goal setting Support engineers in the delivery of technical solutions, drawing on past hands on experience as an engineer or architect. Ensure effective and proactive escalation to the Head of Architecture and Engineering where required Skills, Knowledge and Expertise Required attributes: Excellent people leader with a proven track record leading teams and developing high performance culture Proven experience in engineering or delivery management, ideally across multiple technical disciplines Previous hands on experience as an engineer, consultant, or solutions architect Strong knowledge of Microsoft technologies, particularly M365 and Azure, to deliver internal IT capabilities Experience running agile ceremonies and improving delivery processes Excellent interpersonal skills, with the ability to coach, mentor, and resolve challenges constructively Experience implementing competency frameworks and performance metrics Highly organised, delivery-focused, and able to prioritise effectively A collaborative and positive approach to problem-solving Desirable attributes: Experience in consultancy or professional services environments Understanding of data engineering practices and business intelligence concepts Familiarity with enterprise systems such as Salesforce, SAP, or Dynamics 365 F&O Experience with utilising CI/CD patterns and DevOps tooling to orchestrate configuration across environments Experience working with Project Managers to deliver broad impact solutions What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.