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Locations: Guildford, Surrey, United Kingdom Role ID 215727 Worker Type Regular Employee Studio/Department CT - Security Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. We are seeking a Senior Detection Engineer to advance our detection engineering strategy within the Enterprise Security team. This role is essential to safeguarding EA's cloud and production environments will directly impact our ability to detect, respond to, and prevent cyber threats at scale. As a senior individual contributor reporting to the Director of Threat Intelligence and Detections, you will play a central role in the technical leadership of the Detection Engineering team. You'll mentor junior engineers, help define engineering direction, and lead the development of scalable threat detection solutions, including those applying AI and cloud-native technologies. Responsibilities Technical Leadership Design and operationalize advanced detections across cloud, container, and on-prem environments. You will build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA's detection infrastructure. You will define detection lifecycle processes governance, and performance metrics. Lead development of AI-driven detection proof-of-concepts Guide peers in building scalable, maintainable detection infrastructure and tuning detection content. Support priorities like product detection assessments, threat-led risk prioritization, and production telemetry uplift. Minimum Qualifications Experience in detection engineering, security engineering, or software development with a focus on cybersecurity. Experience developing detections and integrations within SIEM platforms (e.g., Splunk, Elastic, QRadar), use of Risk-based alerting Familiarity with cybersecurity frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain, NIST CSF). Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development plans in a complex security ecosystem. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Role Description Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. Responsibilities Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies. Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows. Design and implement secure baselines for cloud resources and Kubernetes based infrastructure. Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production. Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents. Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure-by-design solutions. Minimum qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. Experience securing IAM and cloud identities at scale. Experience leading technical security reviews of products and architectures, conducting threat modeling exercises, and translating findings into actionable security controls. Practical understanding of web application security concepts (such as OWASP Top-10 and similar). Hands-on experience with IaC and related tools (Terraform, CloudFormation, Helm, Pulumi). Experience with automation and tooling development in one or more of the following: Python, Go, Shell, HCL, Rego. Preferred qualifications Bachelor's degree in computer science or a related field, and/or equivalent job experience in lieu of a degree. Experience working with remote, globally distributed teams. Experience working in organizations that develop software and/or operate managed infrastructure and technology services for their own customers. Experience with CNAPP, CSPM, or CIEM solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

Citi's Equities Technology organization is seeking a hands on Senior Software Engineer to join the Equities Timeseries group, a strategic, horizontal platform organization responsible for order data, tick data, and real time and historical Transaction Cost Analytics (TCA) supporting global Equities trading. Within this broader Timeseries organization, the role will focus on strategic time series data platforms that provide the analytics, canonical data models, and performance critical infrastructure underpinning electronic execution globally, including Algorithmic Trading and Smart Order Routing (SOR). The successful candidate will play a senior technical leadership role in the design, implementation, and evolution of these platforms, contributing to architecture decisions under microsecond-level latency constraints, defining and governing time series data models, and ensuring the correctness, explainability, and performance of analytics used across Citi's electronic execution ecosystem. This role requires close, continuous collaboration with trading desks, product partners, and quantitative research teams globally, with strong alignment to firm wide strategy and cross regional delivery. Responsibilities: Design and develop next generation time series analytics platforms supporting multiple execution critical systems within the Equities Timeseries organization. Own and evolve high performance KDB+/q (or equivalent) platforms used for order, execution, market data, and TCA analytics, across both real time and historical use cases. Define, govern, and maintain canonical time series schemas and data models that are shared across Algorithmic Trading, SOR, and other electronic execution consumers. Contribute to architectural decisions for ultra low latency, high throughput systems, ensuring analytics can operate under microsecond level constraints. Partner closely with traders and quantitative researchers to co design and productionize analytics, translating research ideas into reliable, production grade time series systems. Drive high standards in code quality, automated testing, and SDLC discipline, with a focus on analytics correctness and repeatability. Continuously improve testing frameworks, development tools, and environments to support platform reliability at scale. Leverage Citi's AI powered SDLC tooling to enhance developer productivity, code quality, and innovation. Build and maintain shared platform capabilities for monitoring, reconciliation, traceability, recovery, and auditability of electronic trading analytics. Qualifications: Proven hands on engineering experience with deep technical expertise in low latency time series databases, using KDB+/q. Experience in Java, C++ will be desired. Deep expertise in KDB+/q or equivalent high performance time series platforms, with demonstrated ownership of production systems. Prior experience building or owning Algorithmic Trading, SOR, Market Making, or Quantitative Trading time series platforms at a global financial institution. Strong understanding of market microstructure, electronic execution workflows, and regional exchange and regulatory regimes. Proven ability to design and operate systems where analytics correctness is non negotiable, even under extreme performance constraints. Strong understanding of performance optimization, and high throughput architectures. Experience defining and governing shared data models used by multiple downstream systems. Ability to prioritize multiple initiatives and deliver in a fast paced, globally distributed environment. Excellent communication skills, with the ability to reason and explain complex systems to engineers, quants, and trading stakeholders. Education: Bachelor's degree / University degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Job Family Group Technology Job Family Applications Development Time Type Full time Most Relevant Skills Please see the requirements listed above. 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. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

The Opportunity We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays. Who you are You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling. You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators. You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale. You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics. You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently. What sets you apart You have experience in computational biology or protein design. You have worked on ML-driven projects in biology. You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields. Your Responsibilities Build machine learning models that work in the physical world 90% of your time : Contribute to a careful curation of our training and evaluation data. Propose and build ML evaluation metrics that align with real world success and company goals. Quickly prototype generative models against our lead metrics and perform deep analyses of improvements. Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards. Contribute to the maintenance of our compute and ML development infrastructure. In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab. Quickly learn from wet lab results and feedback data to our models. Self development 10% of your time : Stay on top of the latest developments in ML. Gain a strong working understanding of protein and cell biology. Participate in knowledge sharing, e.g. organize and present at our internal reading group. Attend and present at conferences. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension/401(K) contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Director, Global Service Delivery (f/m/d) - EMEA Based Job ID 517466 Posted since 12-Aug-2026 Organization Field of work Information Technology Company Siemens Industry Software GmbH Experienced Professional Job type Full-time Hybrid (Remote/Office) Employment type Permanent Location(s) Farnborough - Hampshire - United Kingdom Hamburg - Hamburg - Germany London - London City of - United Kingdom We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential. The Director, Global Service Delivery (SD) is a senior leadership role within Global Engineering Services (GES), part of Siemens' Global Technologies & Infrastructure (GTI) organization. This role owns the end-to-end delivery of engineering support services across three global regions - Americas, EMEA, and APAC - serving approximately 17,000 software engineers worldwide. The Director is accountable for service quality, regional consistency, people leadership, and the ongoing transformation of the SD function. KEY RESPONSIBILITIES Strategic Leadership Define and execute the global Service Delivery strategy aligned with GES and GTI priorities. Set the vision, operating model (Follow-the-Sun), and performance standards for SD across all three regions. Lead the annual planning cycle for SD: headcount, budget, initiatives, and OKRs. Represent the SD function at GES leadership reviews, executive briefings, and cross-functional forums. Drive continuous improvement in service delivery maturity, tooling, and process standardization. Operational Excellence Own the end-to-end SLO/SLA framework for the SD function globally; ensure targets are met and reported. Partner with the Global Operations Excellence (GOE) team to enforce standards, monitoring, and governance. Ensure all regions are aligned on tooling, processes, CMDB accuracy, and asset management practices. Oversee the successful delivery of global programmes (e.g., PCD migration, device refresh, CMDB clean-up etc). Identify operational risks and blockers across regions; escape and resolve proactively. Directly lead three Regional SD Leads (Americas, EMEA, APAC) and maintain accountability for the full SD organization. Build a high-performing, engaged, and geographically distributed team; develop regional leaders and successors. Drive talent reviews, performance management, and calibration across the SD function. Champion a culture of accountability, customer focus, and continuous improvement. Stakeholder & Cross-Functional Engagement Serve as the primary SD point of contact for peer GTI functions. Build and maintain strong relationships with key business stakeholders. Collaborate with regional SD leads and managers to address customer escalations and service issues. Provide regular operational reporting to the Senior Director, GES and GTI leadership. Engineering Segments Engagement Own the customer relationship between GES and engineering segments globally; serve as the primary point of contact for segment leads regarding infrastructure, service quality, and engineering productivity. Establish and maintain a regular engagement cadence with segment representatives to understand development pipeline needs, CI/CD tooling requirements, and environment pain points. Proactively identify opportunities to improve developer productivity and engineering experience - including build performance, environment stability, tooling access, and onboarding friction. Collaborate with SD Leads, GOE, and Architecture & Standards teams to translate segment feedback into actionable service improvements and capacity planning inputs. Track and report on segments satisfaction, developer productivity trends, and GES contribution to engineering velocity - escalate where GES environment is a constraint on delivery. QUALIFICATIONS & EXPERIENCE Required Extensive relevant experience in infrastructure management, service delivery, or technology operations, with a significant portion of that time spent in senior leadership - managing global or multi-regional teams at scale. Proven track record leading large, geographically distributed teams across multiple countries and regions. Deep understanding of ITSM frameworks (ITIL) and IT governance practices (COBIT or equivalent). Strong experience managing budgets, headcount planning, and resource allocation at a global scale. Demonstrated ability to drive transformation programmes and change across complex organizations. Experience operating in a matrixed, multinational corporate environment. Excellent written and verbal communication skills in English; comfortable presenting to executive audiences. Sound understanding of asset management practices, including CMDB governance, hardware lifecycle management, and software asset inventory at enterprise scale. Demonstrable knowledge of data center operations and management, including RDC/colocation environments, capacity planning, and infrastructure governance. Working knowledge of server and storage technologies, including enterprise server platforms, SAN/NAS storage, and backup/recovery frameworks. Familiarity with vulnerability management processes, including risk prioritization, remediation tracking, and coordination with information security teams to ensure compliance. Familiarity with software development practices and the software development lifecycle (SDLC); ability to engage credibly with engineering and development teams on environment and tooling requirements. Working knowledge of CI/CD concepts and common pipeline patterns; exposure to CI/CD platforms, sufficient to understand engineering dependencies and environment requirements. Understanding of developer workflow tooling and environment needs - including source control, build systems, artifact management, and test infrastructure - as they relate to GES infrastructure provisioning and support. Preferred Background in software engineering, or large-scale enterprise Technology environments. Hands-on or oversight experience with virtualization technologies (VMware ESXi, OpenStack, or equivalent platforms). Experience with high-performance or grid computing environments - including job scheduling, compute cluster management, and distributed compute platforms. Understanding of enterprise networking concepts, sufficient to oversee network-dependent service delivery. Experience working with or transitioning to cloud-managed or hybrid infrastructure models. Prior experience in a software engineering, DevOps, or platform engineering role - or significant direct collaboration with software development teams; comfort discussing CI/CD pipelines, build performance, and developer environment requirements. EDUCATION Degree - Required Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Software Engineering, or a closely related technical discipline. Degrees in other disciplines will be considered where accompanied by strong relevant experience. Advanced Education - Preferred Master's degree in Computer Science, Information Technology, Engineering Management, or an MBA with a technology focus. CERTIFICATIONS IT Service Management & Governance - Preferred ITIL v4 Foundation - required; Managing Professional or Strategic Leader tracks highly valued. COBIT 2019 Foundation or Practitioner - IT governance and control framework knowledge. ISO 27001 Lead Implementer or Auditor - advantageous for security governance oversight. PMP (Project Management Professional) - PMI. PRINCE2 Practitioner or PRINCE2 Agile. LOCATION & TRAVEL This is a global role with flexibility on base location. Regular international travel to regional sites and team face-to-face meetings is expected. REPORTING STRUCTURE Reports to: Senior Director, Global Engineering Services (GES) Direct reports: Regional SD Leads - Americas, EMEA, APAC Functional scope: Full global SD organization Why us? A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we Work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! The primary locations for this opportunity are Germany, UK and Ireland. The applicable salary ranges for these locations are: 117,600 Min - 205,900 Max EUR (Germany) 100,300 Min - 175,400 Max GBP (UK) 109,400 Min - 196,700 Max EUR (Ireland) This role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills . click apply for full job details

Why the company? We established the company in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Our education team, part of the company's Public Services Business Unit, works with the organisations that shape education - from governments and school groups, to publishers, education companies, and assessment organisations - to design, build and assure AI systems in high-stakes settings where safety, accuracy and efficacy genuinely matter. Recent work includes national education infrastructure, AI tutoring, assessment and content-quality systems, and the safety and evaluation of AI used by children. The market we serve is shifting from "can AI do it?" to "can you prove impact?". Our clients increasingly want help building AI solutions that are engineered to improve learning outcomes, teacher time, and quality, and that are safe by design - and that is precisely why this role exists. About the role As Lead Learning Scientist, you will ensure that our clients' AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for what trustworthy AI in education looks like. You will define and lead the learning science discipline at the company: setting the strategy for learning design and evaluation, creating and owning our Learning Science Playbook, and ensuring the systems we build genuinely improve how people learn. Working closely with senior leadership and multidisciplinary delivery teams, you will shape the design of scalable, data-rich learning systems in close partnership with product, engineering and data science, and guide colleagues to embed best-in-class learning science into everything we design and build for clients. This is a founding leadership mandate, and the variety and stakes are unusual: in a single year you might shape national curriculum-grounded infrastructure, the evaluation architecture for a high-stakes assessment product, and the safety case for an AI system used by children - in an organisation that treats evidence, evaluation and safety as the product, not a compliance afterthought. What you'll be doing Leading the design of learning goals, skill models, adaptivity logic and feedback systems across flagship client engagements - from national education infrastructure to tutoring, assessment and content-quality systems. Creating and owning the company's Learning Science Playbook - defining best practice for scaffolding, feedback loops, measurement rubrics and data instrumentation (how we track learning progress through user interactions), applied across every build. Designing and overseeing rigorous evaluations - formative, summative and quasi-experimental - that give clients credible evidence their systems improve learning, not just plausible outputs. Partnering with product, data science and engineering leads within delivery squads to ensure learning systems are technically robust and pedagogically sound - translating learning science into requirements engineers can build and test against. Contributing learning science expertise to the company's safety and assurance work, helping evidence that AI systems used in education are safe, effective and fit for purpose. Coaching and mentoring colleagues across product, UX and data science to apply learning science principles in day-to-day design and delivery decisions. Acting as the internal and external subject-matter expert on learning science, representing the company in strategic conversations with senior client stakeholders. Who we're looking for ESSENTIAL Expert-level knowledge of the learning sciences, instructional design, and cognitive or behavioural science. The ability to translate learning science into clear, specific requirements that technical teams can build against - you make pedagogy build-able. Strong working practice in evaluating and measuring learning impact (for example mastery, retention and transfer), including designing studies and deciding what data to capture. Experience working with technical teams - engineers, data scientists or product developers - to shape what gets built. You need not have written the code yourself, but you have influenced how real systems were designed and can hold credibility with the people who build them. Technical literacy in how AI systems are built, with a genuine appetite to deepen that knowledge quickly. Excellent communication skills: able to influence senior stakeholders - internally and client-side - and to represent the discipline externally. DESIRABLE (NOT REQUIRED) Hands-on experience building AI-driven or adaptive learning systems. Familiarity with LLM architectures, retrieval-augmented generation, evaluation harnesses or learning analytics pipelines. Experience across multiple client or product contexts - for example consulting, agency or platform settings serving many institutions. Our Interview Process Talent Team Screen (30 minutes) Project Deep Dive with the Head of Education (60 minutes) - you will walk us through one project you have led from conception to delivery Case Study and Technical Interview (60 minutes) - we will send you the brief 72 hours ahead Cultural and Leadership Interview (60 minutes) Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. Find Jobs in United Kingdom on Arbeitnow

AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Principal Research Scientist - Frontier Industrial AI Location: Cambridge/ London, UK, All EMEA, (hybrid) Organization: AVEVA CT AI Research Role type: Individual contributor The role AVEVA's frontier AI research team, as part of the Chief Technologist Organization, focuses on developing the next generation of industrial intelligence. We are looking for exceptional researchers who combine original thinking with the ability to turn ambitious ideas into working systems. You will define and pursue high-impact research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways to move difficult initiatives forward. What you will do Define and lead ambitious research initiatives in frontier industrial AI. Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI. Partner with leading AI labs, universities, and technology organizations. Take research from initial hypothesis through prototype and validation. Help shape AVEVA's longer term AI research direction and technical strategy. What we are looking for A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field. Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions. Strong hands on ability in AI experimentation and software development. Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure. Deep expertise in one or more areas such as foundation models, multimodal learning, time series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation. Strong scientific judgment and the ability to design rigorous experiments and communicate results clearly. High agency, intellectual curiosity, and a constructive problem solving mindset. Ability to collaborate across research, engineering, product, and teams. Preferred qualifications Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data, or industrial time series. A track record of initiating and advancing research projects with limited supervision. Exceptional recent PhD graduates with a strong research record are encouraged to apply. UK Benefits include: Flexible benefits fund emergency leave days adoption leave 28 days annual leave (plus bank holidays) pension life cover private medical insurance parental leave education assistance program It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on site 50% of your working hours to support collaboration and connection. Some positions are fully office based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: Find out more: AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis. Empowering you with pioneering tech AVEVA is a global leader in industrial software. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.

Westren Capital is a London-based proprietary trading firm specialising in digital asset markets. We are committed to rigorous, first-principles research at the intersection of quantitative finance and machine learning. We bring together talent from Mathematics, Physics, and Computer Science to push beyond conventional modelling approaches and translate cutting edge research into actionable signals across global markets. Our culture is built around intellectual honesty, independence of thought, and a deep respect for evidence over narrative. We value researchers who are willing to challenge assumptions, explore uncomfortable ideas, and iterate quickly in the face of uncertainty. Collaboration is not ornamental here, it is structural. The best ideas tend to emerge where disciplines overlap and perspectives collide. Our AI team sits at the core of this effort. It is a focused R&D group of quantitative researchers, engineers, and ML practitioners working on frontier problems in representation learning and large scale modelling. The mandate is simple in wording and difficult in execution: extract signal from unstructured data and convert it into robust, scalable alpha. Responsibilities: We are searching for researchers who have a history of using machine learning for solving challenging, realistic problems, not benchmark problems pretending to be progress. It's intrinsically end-to-end: spotting problems that matter, specifically where there's an advantage in developing LLM skills, and pushing them through the full development process. You will be working with our traders, figuring out what constraints exist, what data looks like in practice, and what signals are realistically possible. From there, it becomes an exercise in iterating until your models, tools, and infrastructure don't collapse the first time you encounter real world markets. The field is intentionally wide. Your projects could land anywhere on the research pipeline for quant finance, wherever you can turn unstructured data and cutting edge machine learning techniques into economically valuable insights. We're not asking for excellence everywhere. The secret to success in this field lies in finding the right combination: expertise in one area, competence in another, and an innate interest in the third. Usually, this means machine learning, computer science, and some feel for how markets function when theory meets reality.And, inevitably, a few more duties nobody bothered mentioning but which will crop up regardless. Requirements: Around 5+ years of experience building machine learning systems that have delivered real, measurable impact, whether in industry or academia. A strong grounding in ML with some exposure to modern language models such as transformers or related architectures. Comfortable writing solid, production-quality code in Python and/or C++, and familiar with frameworks like PyTorch, TensorFlow, or JAX. Beyond tools, what matters is a mix of curiosity, range, and original thinking, balanced with a practical instinct for what actually works. You should be able to reason clearly about quantitative problems, communicate effectively with trading researchers, and maintain a consistent, dependable working rhythm. Experience working with HPC environments or training large models in distributed settings, along with some exposure to GPU-level optimisation using CUDA or ROCm. A track record of taking models end-to-end, particularly in the context of LLMs, is valuable. Prior academic publications or meaningful contributions to open-source AI work are a plus. It also helps if you have considered views on how ML research and infrastructure should be done, and the judgement to know when those views need to bend to reality.

Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Senior Architect or equivalent role carrying product-shaping responsibility. A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole. Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room. Product Understanding - Not Just Technical Understanding prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet. Genuine customer orientation: asking what problem the customer has before asking how to build the feature. Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one. The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context. Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found. An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive. Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution. Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment. Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause. Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database. AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping. Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions. Bonus Points Background in email security, threat detection, DLP, identity, or data platforms. Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture. Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches. Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS. What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars. Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane. Senior peers: a small, high-trust Architecture Leadership Team where everyone operates at a high level. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience. 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role. A track record of product-shaping responsibility, not just technical delivery. Active, daily use of AI development tools in a professional setting - not experimentation, practice. Equal Opportunity Statement Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. Commitment to Diversity and Inclusion We're proud to be an Equal Opportunity and Aff We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We save companies the embarrassment of awkward data slip ups by disrupting cybercriminal activity. We think fast, go big and always demand more. We work hard, deliver - and repeat. We grow with meaningful determination. And put success well within our reach. We empower each other, live by our values, and always deliver on our purpose . click apply for full job details

About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefinewhat'spossible in asset management. Today, AI is reshaping every aspect of our industry, from investments and client experiences to operations, risk management, and product innovation. BlackRock AI Labs sits at the center of that transformation. AI Labs is BlackRock's advanced AIscience andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets AI Labs apart is our ability to move from idea toimpact. We are not a research lab detached from the business, nor are we a traditional software engineering organization. We are a hybrid team ofscientists andengineers who build solutions thatrun at scale inproduction environmentsandcreate capacity for our business partners.From AI-powered investment insights and risk management solutions to next-generation agentic workflows and enterprise AI platforms, our workis helping toshape the future of BlackRock. Our teams work on some of the firm'shighest prioritystrategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,establishtechnical standards, and enable teams throughout the organization to adopt AI safely, effectively, and at scale. AI Labs has offices in New York, Edinburgh, Atlanta,San Franciscoand Seattle. We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. In this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm. Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact. Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications. Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoing operation. Establish engineering standards, mentor engineers, and influence technical strategy across teams. The minimum requirements for this position are: 12+ years of software engineering experience, including significant experience designing, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ML applications. Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Demonstrated ability to lead complex technical solutions from architecture and design through production deployment, operation, and continuous improvement. Strong problem-solving, collaboration, and communication skills, with the ability to influence technical decisions across multidisciplinary teams. Additional knowledge and experience we value includes: Experience collaborating with research teams in fast-moving environments, ideating quickly on research prototypes. Generative AI, large language models, AI agents, and architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability, and cost. Responsible AI, security, governance, and controls in enterprise or regulated environments. Experience with a systems- or performance-oriented programming language such as Rust, C++, C, Go, or Zig. Experience in financial services or another regulated industry. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok. BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law. Company: BlackRock Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, Predictive Analytics, United Kingdom

Workday Senior Integrations ConsultantApplylocations: United Kingdom: Poland: South Africa: Netherlandstime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR100005 VirtualResource (VR) is a boutique consultancy supporting companies to optimise their HR and Workday systems. We strive to be the go-to company that partners with businesses to optimise their HR technology landscape. Our people are our most important asset We recognise the need for a committed, skilled and loyal team and strive to create a working environment that is flexible, caring and considerate of all needs. We attract the best people and reward them appropriately Staff development and upskilling are core to what we doWe are seeking a Senior Workday Integrations Consultant with deep, hands-on integration expertise to lead the design, delivery, and governance of complex Workday integration solutions. In this role, you will act as a technical authority and trusted advisor, ensuring our clients leverage best-in-class integration architectures aligned to their broader HR and enterprise technology landscapes. You will take ownership of integration workstreams across multiple projects, provide technical leadership to integration teams, and partner closely with clients, internal stakeholders, and sales teams to deliver scalable, high-quality solutions. Job Description Key Responsibilities Lead the end-to-end design, build, testing, and deployment of complex Workday integration solutions Act as the primary technical integration lead for client implementations, both existing and new Define and own integration architecture, standards, and best practices across projects Manage and track integration risks, issues, and dependencies; proactively escalate where required Provide strategic guidance to clients and service partners on integration approaches and roadmaps Oversee and manage all integration deliverables associated with implementation projects Facilitate advanced troubleshooting and collaborate closely with cross-functional internal teams Lead, mentor, and coach junior and mid-level integration consultants across multiple projects Support the pre-sales cycle , including integration scoping, effort estimation, and solution design Produce detailed interface specifications , field mappings, and system/process designs Develop and execute comprehensive test strategies , including scenario testing and validation Manage partner integrations, including setup, analysis, validation, and ongoing data exchanges Coordinate cross-functional implementation activities, contributing to project planning, scope definition, and delivery governance Must have Skills Required 5+ years of Workday Integrations experience , including leading complex implementations 5+ years of combined experience designing and delivering enterprise technical solutions Strong experience with modern integration technologies, including: + EDI, Web Services, XML, XSLT + REST/SOAP APIs + Middleware platforms + Java and/or .NET Proven experience leading integration design and process alignment across stakeholders Demonstrated ability to design, develop, and deploy production-grade integrations Strong understanding of ERP systems , data models, and enterprise architecture concepts Experience working across multiple cross-functional teams, including business and technical stakeholders Highly developed analytical, problem-solving, and communication skills Proficiency with tools such as Excel, Visio, MS Project (or equivalent), and PowerPoint Workday Integration Certification Other Qualifications/Skills that will be beneficial but not mandatory Degree in Information Systems, Computer Science, HR, or related discipline Experience with Workday Extend Project or delivery certifications (e.g., PMP, Agile/Scrum ) Background in one or more of the following: + Java, JavaScript, .NET + XSLT + NetBeans or similar IDEsVirtualResource is a boutique IT consultancy specialising in HR & Digital Transformation. We help organisations shape their Digital Roadmaps, deploy Workday with confidence, keep it running at its best, and adopt AI in ways that deliver real outcomes. We're not the biggest consultancy you'll work with, and that's deliberate. We've built VR around experienced practitioners who've done the work - people who can sit alongside your team, understand the context, and help move things forward without the layers and overhead you'd find elsewhere. Our people are the reason clients come back. Great consulting starts with great people. We invest in ours, because the experience our clients have with VR is shaped entirely by the team they meet. We attract experienced professionals and give them work that's worth showing up forWe create a flexible, considered working environment built around trust. We reward people fairly and recognise the value they bringWe invest in development and upskilling because staying sharp is part of the job

Overview The Senior Project Manager - Legacy will typically take responsibility for the delivery of a large section of works. Reporting into the Project/Regional Director, will be responsible for planning, coordination and management of all aspects of the project/section in line with the PEP aligned to the Siskoverall business strategy. Has overall responsibility for Delivery, safety, environmental, quality & profit & loss. Maintains a close working relationship with the client, his/her representatives and other project stakeholders. Manages the relationship at a Senior level for all the supply chain involved in the project. Ensures work is executed in accordance with the relevant standard procedures and will discharge the duties listed in the SISK Safety Policy. The Senior Project Manager is responsible for ensuring that the Sisk team is cohesive, communicates well together and operates as a single unit. The Senior PM will adopt and communicate the Sisk core vision and values and embed them with their teams and the supply chain. Responsibilities Legacy To assist / lead in the response to and management of "claims" of a Legacy / Post Grenfell nature that are in various stages of discussion with the Clients / Claimants or have yet to be identified Snr Project Manager individual who is capable of reviewing correspondence, reports and the like in respect of compliance with regulations and contractual obligations received and coming up with practical solutions to how the matters may be resolved be that through carrying out some work or by managing external designers and or subcontractors to provide the relevant information and demonstration that what we built was compliant etc and setting that out to the claimants both through reports, correspondence and direct liaison Review original construction drawings and specifications etc and comparing those to what has been constructed, identifying differences and understand why those differences exist and providing the solution / solutions to conclude the matter / issue Be able to identify the real problems and identify the answers or put together a road map of how we can get to a resolution Be able to look past distractions and concentrate on identifying and producing solutions in a measured, ordered and logical fashion Understand contract liability / responsibility Have a good knowledge of the Building Safety Act and how that works Good Façade knowledge is required Good knowledge of Fire Safety / ADB and associated required Be able to "manage" more than one issue at any one time Work with Commercial Manager to identify the solutions Those solutions may involve carrying out construction work - be able plan, sequence, programme and manage that construction work, with Site Manager assistance as necessary. Preconstruction Prepare the programme, method statements, prelims and submission document Chair start-up & internal meetings Prepare the Procurement strategy with the QS and Prequalification of key supply chain (early awards) Prepare a preliminary Risk Register and mitigate/manage any risks for the duration of the project Work with the SQS to prepare a prelim procurement schedule and track same Ensure that the Health, Safety & Environmental plan and project resources reflect the project scope and programme, including temporary works Agree Site Layout, logistics and organise implementation of same in accordance with company guidelines Advise statutory authorities & key stakeholders of site start date Agree employee resource plan with the Regional Director Responsible for setting the design strategy, including BIM, DRM, and scope of novated services (If part of project scope) Construction & Design Manages (through others) consultant and subcontract design as required by the contract including delivery of the BIM strategy Manage S/C including S/C progress meetings and S/C pre-order meetings Manage employee resources, including cover for site when staff are on annual leave or training Manage Info requests, movement, storage and accessibility Chair Internal Team Meetings/attend and chair Subcontractor meetings Attend, update, and ensure accurate comprehensive minutes are issued from Client/Design Team Meetings Detailed understanding of the critical path(s) on the project Manage information flow and information required schedules Prepare contract reports, manage Prelims in accordance with PEP and prepare applications for extension of time with SQS/QS Review constructability and identify methods of execution with commercial or programme advantage where possible Monitor overall site progress against programme (PEP). Agree programmes with subcontractors and monitor progress with the SM Manage and control the operating budget and weekly/monthly progress reports for both internal and external stakeholders Implement the Quality Cycle through package owners Take the principal responsibility for driving all aspects of the HSEQS plan and it's implementation, including driving the full Quality Program Present status to Sisk Management at Monthly CVR/CRM Meetings Implement BIM Strategy on the project/oversee the management of design including Temporary Works as appropriate Manager the role of "Builder" under the Statutory Compliance regulations. Obtain a punctual Practical Completion Certificate Lead the PDP process for all project team members and emphasise the importance of development & continuous improvement/learning Post Construction Ensure aftercare service is in place for the client Ensure any post-handover commissioning adjustments are made Support the SQS in the preparation of any loss and expense applications and in the provision of information for Final Accounts Complete the project data sheet and gather reference from the client Protect Sisk's contractual position by ensuring that the Client & Design teams are satisfied (I.e. build strong relationships for the future) Obtain the defects list and remedy any items to obtain the Certificate of Making Good Defects. Timely engagement with client Experience Essential Proven experience managing large-scale construction projects from inception to completion Strong leadership and organisational skills with the ability to manage teams and subcontractors Excellent understanding of project delivery processes including scheduling, cost control and quality management Knowledge of health, safety and environmental legislation and best practice Strong communication, negotiation and stakeholder management skills Desirable Experience delivering projects in sectors such as life sciences, data centres, infrastructure or commercial construction Understanding of digital project delivery tools including BIM and project management software Commercial awareness including contract law and cost management principles Ability to lead continuous improvement initiatives and promote innovation Qualifications Essential Degree in Construction Management, Engineering, Architecture or a related discipline Demonstrated experience in project management within a Tier 1 construction or engineering environmen Relevant health and safety certification (e.g. Safe Pass, CSCS, SMSTS or equivalent) Desirable Professional membership or working towards membership of a recognised body (e.g. CIOB, Engineers Ireland, RICS, ICE) Postgraduate qualification in project management or business management Training in lean construction, digital project delivery or sustainability practices Additional Information Competitive salary 26 days annual leave Pension and benefits Unlimited learning and development opportunities Much more Our People and Recruitment Commitment At Sisk Group our people are at the heart of our success. We offer the chance to work with purpose, build a career with no limits and be part of a great team. All vacancies are managed directly by our Internal Recruitment Team. Unsolicited contact or speculative CVs from unapproved agencies will not be accepted and no introductory fees will apply. We are an equal opportunities employer. We welcome applications from all qualified candidates regardless of gender, race, ethnicity, disability, age, sexual orientation, religion or any other protected characteristic. Reasonable adjustments are available during the recruitment process We know the confidence gap and imposter phenomenon can stop talented candidates applying. You do not need to meet every criterion - your skills and potential matter. Don't hold back we want to hear from you All recruitment materials comply with legal and regulatory requirements including the EU Pay Transparency Directive and the Equality Acts UK and Ireland