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Job Category: Sales Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self service BI, data science, hybrid/multi cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo's large enterprise and mid market customers across 30+ industries have received payback in less than 6 months. For more information, visit . We are a fast growing, international organization with teams across four continents and we work with a cutting edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way. Job Description The opportunity The Sales Director at Denodo will be responsible for the management and execution of direct sales in the assigned region. This role will focus on driving new business and expanding existing relationships within the Financial Services sector. We are seeking high performance candidates with a track record of exceeding sales targets in enterprise software over the past five years. Candidates must have a solid background in the data integration, data analytics, and data management space with proven experience engaging with potential customers, partners and prospects in the assigned region. The ideal candidate should have excellent presentation and communication skills to handle the entire sales process from business development, prospecting, and qualifying to negotiations and closing. The successful candidate will be working closely with experienced sales and marketing leadership and be supported by a strong technical team in a fast paced and rapidly growing company to develop professionally and gain opportunities to excel. This position is based in London and requires a hybrid working arrangement, with a minimum of three days per week in our London Paddington office. This is an individual contributor sales opportunity. Job Responsibilities & Duties Develop, maintain, and manage the implementation of strategic sales plans for assigned territory. Manage efforts to research and identify customer prospects and targets. Responsible for meeting individual sales quotas based on corporate and regional revenue targets. Accountable for achieving new customer acquisition targets and implementing expansion strategies. Working with our partner channels sales team to identify, source, onboard appropriate channel & alliance partners and to drive revenue through both direct and indirect channels. Set and execute customer acquisition strategy across Direct inbound and through our Partner ecosystem within the assigned set of accounts and/or territory. Develop and actively maintain sales forecasts across assigned accounts and territory. Measure and report the result of sales and plan execution. Desired Skills & Experience 10+ years of results driven enterprise software sales experience 5+ years of experience in selling enterprise software Good knowledge and experience with Data Integration, Data Warehousing, Databases, Business Intelligence, Data Analytics, AI/ML concepts and products. Good understanding of enterprise IT architectures and corporate data strategies and solutions. Capable of managing all aspects of the sales cycle from cold calling prospects to negotiating enterprise wide contracts Ability to present technical concepts and business solutions clearly through demonstrations and proposals Exemplary written and oral communications skills with ability to engage with a wide range of customer roles (C suite, Executives, Subject Matter Experts and Enterprise Architects) Good organizational, prospecting and follow up skills A team player with the highest level of integrity. Bachelor's degree in a business related discipline, computer science or engineering with an MBA preferred, or equivalent work experience Nice to have experience in leveraging Employee Advocacy and Social Media to network with industry peers, share thought leadership content, and enhance brand visibility to support sales engagement and relationship building. Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law. We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee.

Summary Responsibility: Plan and execute Valink's data strategy to build predictive models for drug discovery and drug positioning Salary: Competitive salary at Director or Principal level, depending on experience Starting date: Jan-Feb 2026 Location: White City, London, UK About Us Valink Therapeutics is a spinout from the University of Oxford with a mission to revolutionise the field of bispecific antibody drug conjugate (bsADC) discovery. We have developed the most advanced drug discovery platform for complex modalities, capable of generating and screening over 1,000 drug candidates per week to uncover novel, first in class bsADCs that others cannot. Our approach generates a rich dataset capturing cytotoxicity, target expression, payload sensitivity, and related correlations, offering high potential for integration into predictive models that accelerate and enhance future drug discovery efforts. Role Summary The Principal Data Scientist will help shape and execute our strategy for integrating proprietary screening data with internal & external biological datasets to identify and prioritise drug candidates for testing. This role is hands on: on top of shaping Valink's strategic input on data analysis approaches and AI driven predictive modelling, the profile will also build prototype pipelines, curate relevant datasets, and validate methodologies that will inform the longer term development of our in house AI platform. Key Responsibilities Driving Data Strategy Determine appropriate models and computational frameworks for predictive drug target sensitivity analysis. Inform on infrastructure, data architecture, and workflow considerations for scalable AI adoption. Data Curation, Integration and Analytics Identify, source, and curate publicly available datasets (cell lines, patient data, target expression, protein/compound databases). Harmonise and integrate these external resources with Valink's internal phenotypic and screening data. Ensure data quality, interoperability, and relevance for downstream predictive modelling. Perform EDA to uncover patterns, trends and outliers in our data to augment downstream design and modelling processes. Model Prototyping & Development Build and test machine learning pipelines to predict correlations between cytotoxicity, target expression, and payload sensitivity. Explore applications of AI driven drug positioning approaches to support candidate selection. Benchmark different models and methods and evaluate trade offs to derive the best model. Turn model outputs into clear insights and visualisations that biologists can act on, helping teams move from hit discovery to candidate optimisation. Collaboration & Knowledge Transfer Act as a technical partner to the Platform and Asset teams, translating research questions into AI solutions. Work alongside the wet lab scientists to design new screening campaigns, using model predictions to guide assay set ups and hit selection. Provide clear documentation, recommendations, and interim solutions that can be scaled internally. Essential Requirements PhD or MSc in Computational Biology, Bioinformatics, Computer Science, or related discipline. 5+ years of experience in industry or academia applying biostatistics and machine learning to biomedical datasets, particularly in areas such as drug positioning, drug repurposing, pharmacogenomics, or precision medicine. Demonstrated ability to work with large scale public datasets (e.g., DepMap, CCLE, LINCS, GDSC, TCGA, UniProt). Expertise in building data pipelines and predictive models using Python/R and ML frameworks (e.g., scikit learn, TensorFlow, PyTorch). Solid grasp of relational databases and proficiency in writing SQL queries Familiarity with high throughput screening data, cytotoxicity assays, or drug sensitivity profiling a strong plus. Hands on, problem solving mindset with the ability to balance strategic advisory with technical execution. Strong communication skills and ability to collaborate across discipline Proficient in mathematical and statistical skills required for machine learning and AI Desirable Experience leading complex scientific projects in an industrial research setting working alongside wet lab scientists. Familiarity with laboratory automation, high throughput screening, and experimental design for drug discovery. Familiarity with cloud computing environments for large scale data analysis. What we offer Competitive salary Stock option plan 25 days of holiday, plus bank holidays Bupa private medical insurance and life assurance YuLife wellbeing engagement Matched pension Flexible working hours Hybrid working location Cyclescheme

Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details

About the Role: Grade Level (for internal use): 14 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is oriented around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, report and track its adoption. Support governance activities by maintaining accurate, up to date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. Assets, Data and Tooling Team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits . click apply for full job details

About the Role: Grade Level (for internal use): 15 The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office, multiple roles will be recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation, to enable a well-rounded team: Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization including strategy and transformation roadmap for future state EA artifacts Governanceand Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts Assetsand Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Support the development, maintenance, and governance of enterprise-wide architectures across business, capability, information, technical, and solution domains. Collaborate with senior executives to define the enterprise architecture vision and strategy. Translate business and digital strategies into actionable transformation roadmaps and architecture frameworks. Guide and govern the delivery of architecture guidance to project teams and establish architectural direction for key strategic initiatives across the Divisions. Develop architectural approach & principles and manage large-scale transformation programs. Design strategy and oversee the transformation to future state EA standards, artifacts and tools across the enterprise. Support the architecture across major domains: business, application, data, and infrastructure/technology (cloud, edge, streaming, SaaS/PaaS). Oversee the "as is" assessment, design target "to be" architecture, and build transition roadmap for the enterprise, that is compatible for next-gen technology advancement such as Agentic AI, Quantum Computing. Drive sustainable and responsible AI practices. Define and drive the innovation strategy and process, ensuring new technology adoption, such as Generative AI, are leveraged effectively to generate measurable business value. Oversee EA implementation activities, ensuring measurable improvements in time-to-market, cost efficiency, and technology alignment. Drive alignment of acquisition/integration strategy (M&A) with architectural frameworks and standardized migration templates to ensure smooth architectural integration of new businesses, participating in due diligence as necessary. Required Skills, Experience, and Knowledge: As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API-led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle, to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domains is highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real-time analytics, digital platforms). 15+ years of experience in enterprise architecture or related fields, demonstrating a strong track record of leading architectural initiatives and driving business value through technology alignment. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Strategy & Program team: Expertise in strategy formulation and large scale Transformation execution (including cloud migration, platform consolidation, M&A integration). Proven experience translating complex business strategy priorities (e.g., cloud delivery, subscription models, Generative AI adoption) into tangible Transformation roadmaps, architectural guidelines and implementation plans. Proven track record of collaborating with CxOs and senior leadership to develop the "north star" vision & mission and support aligning technology strategy to the organization/business goals. Proven experience leading or facilitating the creation of governing principles to guide information, technology, and solution decision making. Expertise in developing clear Points of View on technology, industry, and market trends, and determining their quantifiable potential impact on the enterprise. Advanced skill in leading the identification and analysis of enterprise business drivers to derive comprehensive BITS (business, information, technical, and solution) architecture requirements. Excellent communication, stakeholder management, networking and influencing skills at C level and globally distributed teams. Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $220,656 to $325,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you . click apply for full job details

Passionate about security and an Azure cloud expert? This is an opportunity to join a growing financial services company as a Lead DevSecOps Engineer and shape the future of secure cloud infrastructure. My client is looking for a highly skilled and experienced DevSecOps engineer who has experience in implementing and maintaining CI/CD pipelines, managing infrastructure and monitoring systems. In the role, you will be responsible for leading the formation of a new DevOps/Security function and will have a significant impact on the technical strategy. This role will require great stakeholder management, leadership and business acumen. Responsibilities Implement and lead DevOps and Security practices for the Azure cloud environment. Design and develop secure cloud infrastructure, ensuring compliance with industry standards. Collaborate with cross-functional teams to enable secure software development and deployment. Conduct security assessments, vulnerability testing, and incident response. Stay ahead of security trends and make recommendations for continuous improvement. Mentor and guide junior team members. Qualifications Bachelor's degree in Computer Science, Engineering, or related field. Proven experience as a DevSecOps Engineer in Azure cloud services. Strong knowledge of Azure cloud security principles and best practices. Expertise in CI/CD pipelines, containers (e.g., Docker, Kubernetes), and infrastructure-as-code (e.g., Terraform). Deep understanding of secure SDLC and DevOps methodologies. Hands on experience with security tools and technologies. Relevant certifications (e.g., Microsoft Certified: Azure Security Engineer Associate, CCSP) preferred. Excellent problem solving and communication skills. What's on Offer Up to £110,000 + bonus Private Medical Insurance Pension Contribution Apply with your CV if you're interested in hearing more about this role! Lead DevOps/Security Engineer Up to £110k + bonus RedCat Digital are acting as an employment agency in relation to this vacancy. To find out more about RedCat's Privacy Policy and how your application is processed, please visit the following page: Privacy Policy. We are committed to creating a diverse and inclusive environment for ourselves and our clients. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity/expression, sexual orientation, natural origin, genetics, disability, or age.

About the Role: Grade Level (for internal use): 15 The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology (current and future state) assets to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team: Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts Bgov ernance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Establish and run formal governance mechanisms, including an Enterprise-wide Architecture Review Board (EARB), Divisional Architecture Boards (DABs), Software Governance Board (SGB) and other critical processes to embed standardized architectural governance across the Divisions. Drive operational execution of these bodies, ensuring compliance with architecture standards, and documentation of critical technical decisions. Activate and grow the architecture community of practice to promote shared standards and practices as well as build a network of architects with shared ways of working, tools, and frameworks. Own communication strategy to build the architecture community and foster an Innovation culture. Provide strategic guidance and ensure consistency of all architecture artifacts, adhering to future state standards for EA artifacts and ensure alignment across Divisions and architecture domains. Form important partnerships across the enterprise, both internal and external, to facilitate collaboration and stay informed of new capabilities and emerging technology trends. Support the development, maintenance, and governance of the newly established enterprise architecture function. Lead stakeholder engagement across business and technology leadership. Support the architecture across major domains: business, application, data, and infrastructure/technology (cloud, edge, streaming, SaaS/PaaS). Drive alignment with new acquisition/integration (M&A) initiatives to ensure smooth architectural integration of new businesses, participating in due diligence as necessary. Establish and run Centers of Excellence as the Enterprise Architecture function maturity evolves. Contribute to architectural effectiveness reporting to track key metrics such adherence to approved standards, measuring the reduction of technical debt logged via the ARB process, and evaluating the level of engagement and adoption of shared knowledge and training within the community. Champion FinOps practices, ensuring financial accountability and optimization of cloud and technology spend across architecture initiatives, and collaborate with finance and technology teams to establish cost transparency, forecasting, and reporting mechanisms. Serve as a hands on architect, bringing expertise in Markdown for documentation, Spec Driven Development for robust design processes, GitHub for code management and collaboration, Mermaid for architecture diagramming, Cloud Security Posture Management (CSPM) for cloud security governance, Backstage for developer portal management, and policy as code for automated compliance and governance. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, realtime analytics, digital platforms). Proven, hands on experience architecting solutions using Markdown for technical documentation, Spec Driven Development methodologies, GitHub for source control and collaboration, Mermaid for visualizing system architectures, CSPM for cloud security, Backstage for developer experience, and policy as code for automated governance and compliance. Demonstrated experience implementing FinOps practices, including cost optimization strategies, cloud spend analysis, and financial governance in technology environment 10+ years of experience in enterprise architecture or related fields, with a proven ability to establish governance frameworks and lead architectural initiatives that drive business value and compliance. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Governance and Community team: Significant experience operating or chairing a formal Architecture Review Board (ARB), compliance activities (including exception and exemption handling) or equivalent technical governance body in a large, global organization. Extensive experience in setting up best practices for architecture & Design principles, Solution guidelines and business case formats, etc., to align diverse teams to a unified & common platform. Advanced analytical skills to analyze the current IT environment to detect critical deficiencies and recommend practical solutions for improvement. Identify organizational requirements for resources (financial, skill, and process resources), as well as structures & cultural change necessary to support the Enterprise Architecture function. Advanced analytical and reasoning skills to analyse functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Experience in managing large scale projects and organizational change initiatives to navigate implementation challenges and ensure effective governance processes. Demonstrated ability to identify and quantify organizational requirements for resources (financial, skill, and process resources), structures, and cultural change necessary to effectively support the Enterprise Architecture function. Effective communication and networking skills, capable of fostering an innovative culture, engage architecture community of practice and drive adoption of new processes. Strong people leadership skills with ability to mentor, and work the Divisional technical teams on architectural artefacts, a focus on continual learning. . click apply for full job details

Applied Research - Artificial Intelligence - London - VP location_on London, Greater London, England, United Kingdom Opportunity Overview sitemap_outline CORPORATE TITLE Vice President language OFFICE LOCATION(S) London assignment JOB FUNCTION Quantitative Engineering account_balance DIVISION Engineering Division At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs is seekingan Applied AI Researcherto join our dynamic Applied Artificial Intelligence (AI) Research team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting edge AI and Machine Learning (ML) technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to generative AI, machine learning, deep learning, natural language processing, information retrieval, and time series analysis. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what's possible in the intersection of quantitative research and artificial intelligence! Your responsibilities will include: Collaborating effectively with colleagues to advance production machine learning systems and applications. Conceptualizing, experimenting with, and assessing AI/ML based software systems. Developing, testing, and maintaining high quality, production ready code. Demonstrating technical leadership by taking charge of cross team projects. Creating libraries and frameworks that underpin reliable and testable systems. Represent Goldman Sachs at conferences and within open source communities. Qualifications we seek: Strong hands on experience building and maintaining large scale Python applications. A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience. A minimum of 5 years of experience in the industry that demonstrates your expertise. Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi asset strategies. 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. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: 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. Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short term disability, long term disability, life, accidental death, labor accident and business travel accident insurance. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care & Family Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer.

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $213.9 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at As at 30 September 2025 About Man AHL Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non traditional momentum, multi strategy and sector based approaches. Man AHL's strategies are primarily alternative and seek to gain potential predictive, alpha generating insights through rigorous analysis of large data sets. Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets. The engine leverages Man Group's unique collaboration with the University of Oxford, the Oxford Man Institute of Quantitative Finance (OMI). The OMI conducts field leading academic research into machine learning and data analytics, which can be applied to quantitative investing. Founded in 1987, Man AHL's funds under management were $63.8 billion at 31 March 2024. Further information can be found at The Team AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from monthly to intraday. Technology and Business Skills 4+ years of experience researching and live trading alpha signals for futures and FX Experience with intraday predictor design and analysis Experience with portfolio construction, risk analysis Strong understanding of transaction costs, and mitigation strategies Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading Personal Attributes Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university Hands on attitude; willing to get involved with technology and projects across the firm Intellectually robust with a keenly analytic approach to problem solving Self organised with the ability to effectively manage time across multiple projects and with contending business demands and priorities Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business stakeholders alike. Ability to mentor junior researchers Confident communicator: able to argue a point concisely and deal positively with conflicting views Working Here AHL fosters a performance driven, meritocratic culture with a small company, no attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader research and academic community, as well as renowned industry contributors. We're fortunate enough to have a fantastic open plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We have annual away days and research off sites for the whole team We have a canteen onsite offering nutritious and well balanced food selection catering to varying dietary requirements As well as PCs and Macs in our office, you'll also find numerous amenities such as a Wellness room featuring Peloton bikes, a music room with notably a piano and guitar and a Maker space with light cubes and 3D printer We host and sponsor London's PyData and Machine Learning Meetups Man Group has proudly partnered with King's College London Mathematics School for many years, which offers employees the opportunity to supervise a group of students on a scientific research project or internship We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Inclusion, Work Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at . You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer If you require help or information on reasonable adjustments as you apply for roles with us, please . We are committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we believe artificial intelligence will profoundly impact the world. Our mission is to ensure that transformative AI systems benefit humanity. We are working to build safe and ethical AI systems that can help solve some of humanity's greatest challenges. We are looking for a builder-minded Startup Partnerships UK lead to drive the adoption of Anthropic's cutting-edge AI capabilities within the startup ecosystem. This is a 0-to-1 opportunity-you'll be designing and executing innovative programs that enable startups to access and build with Claude. You will partner directly with leading EMEA VCs, accelerators, and our top startup customers to scale our reach and impact. You'll define how Anthropic engages with the fastest-growing segment in technology and become a trusted AI advisor to founders and the VC ecosystem. This role is for builders-someone founders see as a peer and trusted technical partner, not a traditional partnerships hire. You'll be hands on with data, building your own dashboards, and shaping strategy through rigorous analysis. Responsibilities Develop and execute Anthropic's startup GTM strategy, identifying and prioritizing top AI native startups and building tiered engagement programs that balance personalization with scale Build strategic partnerships (with VCs, accelerators, startup ecosystem partners) that drive portfolio engagement-design and launch strategic programs with tier 1 VCs, own relationships end to end, negotiate partnership terms, and create exclusive benefits for portfolio companies Create compelling startup focused offerings, pricing models, and growth initiatives in partnership with accelerators and entrepreneurial communities Build and maintain your own analytics infrastructure-design Hex dashboards, write SQL queries, and use data to drive program optimization and measure ROI Design and execute targeted events and programs-partner with founders and VCs to organize and project manage builder summits, founder salons, hackathons, demo days Create enablement content, documentation, and trainings to help startups effectively build with Claude-technical content that earns respect from developers and founders Drive cross functional coordination: Lead internal collaboration across Product, Engineering, Finance, Sales, and Corporate Development to ensure alignment on activation and penetration of accounts across startup ecosystem Program manage strategic execution: Drive accountability on key action items and milestones to ensure goals with key VCs and ecosystem partners stay on track Own executive stakeholder management: Build and maintain stakeholder maps across partner organizations; develop executive communication strategies and materials to strengthen senior relationships and ensure aligned messaging Scope and implement new partner processes: Stand up operational processes from 0 to 1 for new partners, including deal registration, reporting, and funding programs Gather product feedback and represent the needs of the startup community to inform Anthropic's product roadmap Partner closely with Sales, Solutions, Product, Events, and other cross functional teams on integrated activation strategies and account prioritization You may be a good fit if you have: 7+ years of experience in product management, founder/operator roles, growth, or technical GTM roles - we're looking for builders, not traditional partnership profiles SQL proficiency and comfortable building your own Hex dashboards-you'll be responsible for your own analytics and program measurement A deep understanding of the startup ecosystem and AI/ML technology landscape-can speak credibly about technical products to technical audiences Built relationships with VCs, worked at a VC firm, or successfully partnered with accelerators to drive portfolio engagement Excel at 0-to-1 program building-comfortable building from scratch, wearing multiple hats, and scaling based on data Proven ability to develop and execute complex, cross functional go to market programs Exceptional communication skills-outstanding writer who crafts narratives for founders, developers, and VCs Thriving in fast paced environments with bias to action and comfort with ambiguity Bachelor's degree or equivalent practical experience Strong candidates may also have: Founded a company or led product at a high growth startup Direct experience working for or with venture capital firms Technical background-former developer, PM with hands on coding experience, or deep familiarity with AI/ML development workflows Developer advocate or developer relations background with active presence in technical communities Familiarity with large language models and their applications in generative AI Existing relationships with venture capital firms, startup accelerators, and entrepreneurial communities Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large scale research efforts. And we value impact - advancing our long term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT 3, Circuit Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

To manage, implement and develop the Sport Science / Strength & Conditioning provision to all academy players delivering a comprehensive program that is in line with both the EPPP and the philosophy of the club. The successful candidate will work alongside the Academy Multi Disciplinary team to support the holistic development of each player, across our Foundation, Youth Development and Professional Development phases. About The Candidate To work as an integral member of the Academy Management Team to support the development and implementation of the Academy Performance Plan in conjunction with the Academy Manager. To implement an individual Athletic Development programming during both the off and in-season periods including both gym and field-based training. Programmes should reflect the specific needs of the individual player and their role within the team, including a major component of pre-habilitation, injury prevention and recovery processes. To provide injury rehabilitation training of players in conjunction with specific guidelines laid down by the physiotherapist/sports therapist, in preparation for return to play. To monitor gym based workload through recording RPE's or volume loads within the gym. To coordinate, manage and optimise each individual player's workload. To undertake a comprehensive battery of fitness testing designed to cover all aspects of player performance and use the results to drive training programmes and individual fitness reporting. To undertake individual fitness testing at least three times per year. To conduct physical movementscreening and anthropometric tests as required. Alongside the Physiotherapist/Sports Therapist develop and support an activation/pre-hab program. To implement 'Readiness to Train' and 'Wellbeing' monitoring and to liaise with Lead Phase Coaches regarding collated data. To work in conjunction with the Lead Phase coaches to monitor and develop the BRFC Multi-Sport program. To support the Head of Coaching in any in-house training/mentoring to support the development of coaching staff in any athletic development specific aspects. Support the education of all schoolboy players and parents in terms of injury prevention, injury care, post-match recovery, diet and drug awareness. To work in partnership with UWE to supervise, co-ordinate, assist and educate the Academy Athletic Development interns/placement students. To undertake appropriate professional development to keep abreast of industry best practice. Keep all data and sessions up to date via the PMA. To report regularly to the Academy Manager on overall progress and development within the Academy and to represent collective views in respect of future developments and directions. Ad hoc duties as required by management. To abide by all club policies including (but not exclusive to) Safeguarding, Equality and Health & Safety. Essential EFL Academy experience. Undergraduate degree in Sport & Exercise Science / S&C. GPS data professional phase creating and uploading daily reports. Previous experience of working with young athletes / children in a similar role. Experience in the design, implementation and monitoring of strength and conditioning programmes for elite football players. FA Safeguarding Children Certificate. FA First Aid (EFAiF) Certificate. DBS check undertaken. Computer skills (Word/Excel/access). PMA and logging all data. Implementing a physical strategy u9-u18. High levels of communication skills, both oral and written. Personable and enthusiastic with a strong work ethic. Good team player who can work on own initiative. Desirable MSc (or working towards) in a related subject. FA Coaching qualifications. Knowledge and understanding of the EPPP process. Experience in the preparation and delivery of CPD workshops and conference presentations. About The Club Bristol Rovers Football Club is committed to safeguarding the welfare of children and adults at risk and requires all employees to share this commitment and promote the welfare of these groups. Applicants will be asked about any previous convictions, cautions, reprimands, including those that are considered 'spent' as defined by the Rehabilitation Offenders Act 1974 (Exceptions) Order 1975 (Amended 2013). Appointment to this role is subject to a satisfactory Enhanced DBS Check (with children's barred list check) and references. Safeguarding Statement Bristol Rovers Football Club is committed to safeguarding the welfare of children and adults at risk and requires all employees to share this commitment and promote the welfare of these groups. Equality Statement Bristol Rovers Football Club is committed to creating an inclusive and diverse environment and is proud to be an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, religion or belief(s), gender, gender identity or expression, sexual orientation, marital status, disability, age or with regards to pregnancy or maternity.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD's Software and Solutions Team is seeking a HPC Computational Scientist / Engineer to optimize scientific computing applications for AMD CPU and GPU platforms. This role requires strong foundational expertise in HPC application performance, GPU programming, and scientific simulation domains. As part of AMD's UK Center of Excellence (COE), the engineer will collaborate directly with customer teams across academia, industry, and research laboratories to modernize, port, and tune applications for supercomputing and AI-enabled workflows. The role spans testing, tuning, performance engineering, and full-stack optimization for large-scale HPC workloads on AMD architectures. Candidates must be based in or willing to relocate to the UK. THE PERSON: A highly motivated and passionate computational scientist, physicist, or engineer with deep expertise in HPC performance optimization, GPU programming, and scientific application development. This individual thrives in fast-paced, highly technical, cross-functional environments-collaborating with researchers, scientific software teams, and customer HPC groups to test, port, optimize, and scale complex simulation and modeling codes across domains such as finite element analysis, computational chemistry, weather modeling, fluid dynamics, and energy systems. They will apply advanced performance engineering techniques across CPU and GPU execution paths; implement MPI, HIP, CUDA, and OpenMP parallel programming models; leverage HPC profiling tools; and contribute to emerging converged HPC/AI workflows. The ideal candidate is proficient in Fortran or C/C++, experienced with HPC build systems and revision control practices, and comfortable supporting geographically distributed teams. They must be self-motivated, collaborative, and able to work effectively in a team environment. Additionally, they must be eligible for and willing to obtain UK DV clearance, which is required for customer-facing responsibilities within the UK COE. PREFERRED EXPERIENCE: Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies, and HPC application modernisation. Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow, as well as experience supporting large-scale simulation workloads, is highly desirable. ACADEMIC CREDENTIALS: PhD in Computer Science, Computational Physics, Engineering, or closely related fields with 3-5 years of exp Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available for reference. This posting is for an existing vacancy.

We want you to ! For 30 years we've been independently developing and publishing incredible video games at our multiple studios founded by Jason & Chris Kingsley, but Rebellion is more than just games. We have our own film studio, we create board games, publish books, and through 2000AD, publish comics and graphic novels such as the amazing Judge Dredd. We're seeking a skilled and innovative Machine Learning Engineer to join our cutting edge ML Team. You'll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. This mid level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products. In this role, you'll work closely with the Head of Machine Learning and our ML Engineers to create, design, develop, and optimise ML/DL systems that: Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML and deep learning (DL) models into our production workflows and real time gaming environments. You'll be hands on from research through deployment, exploring state of the art advancements, running experiments, refining algorithms, and ensuring scalable, high performance solutions. You'll work with complex datasets, including tabular, imagery, 3D point clouds, and proprietary game data. This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere where teamwork drives our success. We can provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition to your new environment. We believe in the power of face to face collaboration and encourage working from our Oxford headquarters. However, we understand that flexibility matters, so we're open to discussing hybrid options. Key Responsibilities: Implementation, and optimisation of ML algorithms and tools for game level generation and enhancement. Collaborate with cross disciplinary teams (art, design, code) to integrate ML models into real time game workflows. Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models. Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production. Analyse diverse datasets to inform model architecture and feature engineering. Stay current with state of the art ML/DL research and evaluate new technologies for practical application. Mentor and guide junior ML engineers, sharing best practices and reviewing their work. Present technical findings, progress, and recommendations to stakeholders and leadership. MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems. Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods. Hands on experience with supervised, unsupervised, semi supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable. Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows. Outstanding problem solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines. We offer an extensive benefits package to our team including: 22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years - one day each year until you reach 31 days) Private Medical Insurance, healthcare cash plan, including dental and Vision Life Assurance, Income Protection & Critical Illness Cover Enhanced Family Leave Interest Free, Tax-Free loans Enhanced Pension Scheme EAP a range of Mental Health and Wellbeing Support Plus loads more including a wide range of discounts, freebies, and social events! Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. Life at Our Oxford HQ Our riverside headquarters in Oxford places you a short walk away from the city centre. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces. Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city's train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio. Our open plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable! Inside Rebellion Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms. Find out more about us here Our size, stability, and the variety of in house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well being. We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products. If you are interested in working at Rebellion, but this role doesn't sound quite like you, we're recruiting for a range of positions across the studio and we're always happy to receive speculative applications via our website. Visit our Careers website to view all our live vacancies: Rebellion: Careers