Req ID: FEQ427R45 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) - becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sep 24, 2026
Full time
Req ID: FEQ427R45 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) - becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Finance Analytics & AI Manager Career level: Manager (CL7) Location: London / Manchester / Edinburgh Practice: Finance Reinvention Partner (EPM) About Finance RP Within Accenture, theFinance Reinvention Partnerhelps clients improve financial performance around the CFO agenda - driving best-in-class performance, and sharper insight and benchmarking across the enterprise. In the UK and Ireland, our Finance RP practice brings together finance strategy and the platforms it runs on, including SAP, Oracle, Workday and EPM. You'd join theEPM part of the practice- a growing team reinventing enterprise performance management for finance functions, where planning and forecasting meet modern data platforms and AI. It's a place to work across EPM, data and AI at once, close to the CFO agenda the work serves. Why this role This role sits at the heart of how finance plans, forecasts and decides - as the person who designs the data architecture and the AI beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning and the data and AI behind it, on marquee programmes, alongside people who architect this work for a living. Accenture is a leading solutions and services company. Our strategy is to be thereinvention partner of choicefor our clients and to lead in the safe, widespread adoption of AI. We bring together our people, deep industry expertise and technology to deliver end-to-end outcomes for clients - andFinanceis one of seven Reinvention Partners at the centre of that. Finance RP brings the CFO agenda to life for clients - stronger performance, sharper insight, and better control. "Our clients want a partner that can help them reinvent-boldly, continuously and at speed while continuously building the most client-focused, AI-enabled great place to work for our people-our Reinventors." - Julie Sweet, Chair and CEO What you'll bring EPM and FP&A architecture.Deep command of enterprise performance management - planning, forecasting, consolidation, reporting and close - and the FP&A behind it, from driver-based and rolling forecasting to scenario modelling and long-range planning. You own end-to-end EPM solution architecture: the models, dimensions and business rules that make a planning solution hold up. And you can lead the platform-selection and architecture calls across the leading tools, from Oracle EPM to OneStream to Anaplan. Finance data architecture and integration.A strong grasp of how EPM connects to the wider enterprise - ERP, operational systems and the modern cloud data platforms finance now runs on. You set the target finance data architecture that ties actuals, drivers, assumptions and forecasts together, and you direct the engineers who build it - fluent enough in pipelines, integration and data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance. AI-augmented, intelligent finance.You own the design of the AI and machine-learning use cases that make planning better - predictive forecasting, anomaly detection, automated variance analysis, AI-generated commentary and agentic planning workflows among them - and the human-in-the-loop controls that keep finance in charge of what the models produce. You know how to move a client from isolated experiments to governed, explainable capability the business trusts, directing the data scientists and AI engineers who build it without needing to be one yourself. Leading delivery.You lead complex EPM, data and AI programmes end to end - from discovery and architecture through to deployment, adoption and hypercare - directing the functional, technical, data and change workstreams across a multidisciplinary team. You act as the design authority, hold the solution to finance's requirements for control, reconciliation and auditability, and keep senior stakeholders aligned through design reviews and governance. Growing the work.You build trusted relationships with CFOs, finance leaders, CIOs and chief data officers; you originate and shape EPM, finance-transformation, data and AI opportunities; and you help develop the offering, the reusable assets and the points of view that grow the practice. You lead and develop the people around you. Ways of working.We're increasingly an AI-first delivery team - bringing agentic tooling and orchestration into how we design, analyse and deliver, with our people owning the judgement and the outcome. If you already work this way, that's a real plus, and we're keen to hear from people bringing that experience. Who you are You take ownership and lead from the front. You're a strong client-facing consultant, comfortable with CFOs, controllers, FP&A leaders and senior technology stakeholders, and you can turn complex finance, data and technology topics into clear business recommendations. You lead multidisciplinary and distributed teams well, bring good judgement and structured problem-solving to ambiguous problems, and communicate clearly under pressure. You develop the people around you and you're known for sound, decisive calls. Things that set strong candidates apart: a track record delivering EPM programmes end to end; hands-on experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms - Snowflake, Palantir Foundry or Databricks - as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent industry experience). What's in it for you Alongside a competitive salary and package (dependent on experience), you'll have an extensive benefits package including 30 days' holiday a year, private medical insurance, and 3 additional days' leave a year for charitable work of your choice. Accenture is an equal opportunities employer and welcomes applications from all sections of society. Accenture reserves the right to close the role earlier should a suitable applicant be found.
Sep 24, 2026
Full time
Finance Analytics & AI Manager Career level: Manager (CL7) Location: London / Manchester / Edinburgh Practice: Finance Reinvention Partner (EPM) About Finance RP Within Accenture, theFinance Reinvention Partnerhelps clients improve financial performance around the CFO agenda - driving best-in-class performance, and sharper insight and benchmarking across the enterprise. In the UK and Ireland, our Finance RP practice brings together finance strategy and the platforms it runs on, including SAP, Oracle, Workday and EPM. You'd join theEPM part of the practice- a growing team reinventing enterprise performance management for finance functions, where planning and forecasting meet modern data platforms and AI. It's a place to work across EPM, data and AI at once, close to the CFO agenda the work serves. Why this role This role sits at the heart of how finance plans, forecasts and decides - as the person who designs the data architecture and the AI beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning and the data and AI behind it, on marquee programmes, alongside people who architect this work for a living. Accenture is a leading solutions and services company. Our strategy is to be thereinvention partner of choicefor our clients and to lead in the safe, widespread adoption of AI. We bring together our people, deep industry expertise and technology to deliver end-to-end outcomes for clients - andFinanceis one of seven Reinvention Partners at the centre of that. Finance RP brings the CFO agenda to life for clients - stronger performance, sharper insight, and better control. "Our clients want a partner that can help them reinvent-boldly, continuously and at speed while continuously building the most client-focused, AI-enabled great place to work for our people-our Reinventors." - Julie Sweet, Chair and CEO What you'll bring EPM and FP&A architecture.Deep command of enterprise performance management - planning, forecasting, consolidation, reporting and close - and the FP&A behind it, from driver-based and rolling forecasting to scenario modelling and long-range planning. You own end-to-end EPM solution architecture: the models, dimensions and business rules that make a planning solution hold up. And you can lead the platform-selection and architecture calls across the leading tools, from Oracle EPM to OneStream to Anaplan. Finance data architecture and integration.A strong grasp of how EPM connects to the wider enterprise - ERP, operational systems and the modern cloud data platforms finance now runs on. You set the target finance data architecture that ties actuals, drivers, assumptions and forecasts together, and you direct the engineers who build it - fluent enough in pipelines, integration and data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance. AI-augmented, intelligent finance.You own the design of the AI and machine-learning use cases that make planning better - predictive forecasting, anomaly detection, automated variance analysis, AI-generated commentary and agentic planning workflows among them - and the human-in-the-loop controls that keep finance in charge of what the models produce. You know how to move a client from isolated experiments to governed, explainable capability the business trusts, directing the data scientists and AI engineers who build it without needing to be one yourself. Leading delivery.You lead complex EPM, data and AI programmes end to end - from discovery and architecture through to deployment, adoption and hypercare - directing the functional, technical, data and change workstreams across a multidisciplinary team. You act as the design authority, hold the solution to finance's requirements for control, reconciliation and auditability, and keep senior stakeholders aligned through design reviews and governance. Growing the work.You build trusted relationships with CFOs, finance leaders, CIOs and chief data officers; you originate and shape EPM, finance-transformation, data and AI opportunities; and you help develop the offering, the reusable assets and the points of view that grow the practice. You lead and develop the people around you. Ways of working.We're increasingly an AI-first delivery team - bringing agentic tooling and orchestration into how we design, analyse and deliver, with our people owning the judgement and the outcome. If you already work this way, that's a real plus, and we're keen to hear from people bringing that experience. Who you are You take ownership and lead from the front. You're a strong client-facing consultant, comfortable with CFOs, controllers, FP&A leaders and senior technology stakeholders, and you can turn complex finance, data and technology topics into clear business recommendations. You lead multidisciplinary and distributed teams well, bring good judgement and structured problem-solving to ambiguous problems, and communicate clearly under pressure. You develop the people around you and you're known for sound, decisive calls. Things that set strong candidates apart: a track record delivering EPM programmes end to end; hands-on experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms - Snowflake, Palantir Foundry or Databricks - as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent industry experience). What's in it for you Alongside a competitive salary and package (dependent on experience), you'll have an extensive benefits package including 30 days' holiday a year, private medical insurance, and 3 additional days' leave a year for charitable work of your choice. Accenture is an equal opportunities employer and welcomes applications from all sections of society. Accenture reserves the right to close the role earlier should a suitable applicant be found.
Job Description As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Engineer production-grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross-functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non-technical audiences. Strong problem-solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, And Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud-native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, And Skills Experience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming). Experience fine-tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Sep 23, 2026
Full time
Job Description As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Engineer production-grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross-functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non-technical audiences. Strong problem-solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, And Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud-native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, And Skills Experience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming). Experience fine-tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
We're looking for a Programme Delivery Director - Technology (Public Sector) to join our team in London, UK in an office and client site working mode. In this role, you will lead the delivery of large-scale digital transformation programmes across the UK public sector. You will be accountable for programme outcomes, client relationships and successful delivery, while building and leading high-performing multidisciplinary teams. You will combine strategic leadership, strong technical understanding and commercial awareness. Working closely with senior government stakeholders, engineering teams and business leaders, you will shape technology strategies, contribute to major bids and proposals and deliver secure scalable solutions, that create measurable public value. Responsibilities Lead complex multi-stream technology programmes from initiation through delivery, ensuring alignment with Government Digital Service (GDS) standards and software delivery best practices Drive delivery aspects of major bids, RFIs, RFPs and framework submissions, contributing to winning proposals and client presentations Ensure compliance with UK public sector procurement frameworks, including Crown Commercial Service (CCS), G-Cloud and Digital Outcomes & Specialists (DOS) Oversee cloud transformation programmes, including Azure and AWS migrations, ensuring secure compliant and resilient solutions Build trusted relationships with senior government officials, executive stakeholders and internal leadership teams Manage programme budgets exceeding £10 million, ensuring commercial performance, governance, risk management and supplier oversight Recruit, mentor and develop multidisciplinary teams across engineering, architecture, QA, DevOps, data and Agile delivery Identify programme risks, ensuring compliance relevant government security requirements Drive continuous improvement across programme governance, delivery quality and client satisfaction Requirements Bachelor's degree (or equivalent experience) in Computer Science, Software Engineering, Information Technology or related discipline Proven experience leading large-scale technology programmes (100+ FTE multi-year) within consulting, systems integration or the public sector Demonstrated success leading or contributing to high-value public sector bids and framework submissions Strong understanding of UK public procurement Service Standards and government governance models Experience managing programme budgets exceeding £10 million Strong knowledge of cloud platforms (Azure and/or AWS) and delivery of large-scale cloud transformation programmes Good understanding of modern software delivery practices, including Infrastructure, CI/CD and DevSecOps principles Familiarity with secure cloud architectures, identity and access management and API-based integrations Experience working with cloud, UK government security standards and data sovereignty requirements Expertise in Agile delivery at scale, using frameworks such as Agile or SAFe Ability to explain complex technical concepts to non-technical stakeholders and support high-quality bid documentation Experience leveraging AI-assisted tools to enhance proposals delivery or operational efficiency Executive presence and ability to influence senior civil servants, directors and C-level stakeholders Excellent written and verbal English, with proven experience producing compelling proposals, tenders and executive communications Skilled in leading geographically distributed, multi-vendor and multidisciplinary teams Strong commercial awareness negotiation and decision-making skills Nice to have Active UK Security Clearance (SC or DV) APMP or equivalent bid management certification Experience modernising legacy government systems using cloud-native technologies Background in global system integrators or technology consultancies delivering public sector transformation programmes We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
Sep 23, 2026
Full time
We're looking for a Programme Delivery Director - Technology (Public Sector) to join our team in London, UK in an office and client site working mode. In this role, you will lead the delivery of large-scale digital transformation programmes across the UK public sector. You will be accountable for programme outcomes, client relationships and successful delivery, while building and leading high-performing multidisciplinary teams. You will combine strategic leadership, strong technical understanding and commercial awareness. Working closely with senior government stakeholders, engineering teams and business leaders, you will shape technology strategies, contribute to major bids and proposals and deliver secure scalable solutions, that create measurable public value. Responsibilities Lead complex multi-stream technology programmes from initiation through delivery, ensuring alignment with Government Digital Service (GDS) standards and software delivery best practices Drive delivery aspects of major bids, RFIs, RFPs and framework submissions, contributing to winning proposals and client presentations Ensure compliance with UK public sector procurement frameworks, including Crown Commercial Service (CCS), G-Cloud and Digital Outcomes & Specialists (DOS) Oversee cloud transformation programmes, including Azure and AWS migrations, ensuring secure compliant and resilient solutions Build trusted relationships with senior government officials, executive stakeholders and internal leadership teams Manage programme budgets exceeding £10 million, ensuring commercial performance, governance, risk management and supplier oversight Recruit, mentor and develop multidisciplinary teams across engineering, architecture, QA, DevOps, data and Agile delivery Identify programme risks, ensuring compliance relevant government security requirements Drive continuous improvement across programme governance, delivery quality and client satisfaction Requirements Bachelor's degree (or equivalent experience) in Computer Science, Software Engineering, Information Technology or related discipline Proven experience leading large-scale technology programmes (100+ FTE multi-year) within consulting, systems integration or the public sector Demonstrated success leading or contributing to high-value public sector bids and framework submissions Strong understanding of UK public procurement Service Standards and government governance models Experience managing programme budgets exceeding £10 million Strong knowledge of cloud platforms (Azure and/or AWS) and delivery of large-scale cloud transformation programmes Good understanding of modern software delivery practices, including Infrastructure, CI/CD and DevSecOps principles Familiarity with secure cloud architectures, identity and access management and API-based integrations Experience working with cloud, UK government security standards and data sovereignty requirements Expertise in Agile delivery at scale, using frameworks such as Agile or SAFe Ability to explain complex technical concepts to non-technical stakeholders and support high-quality bid documentation Experience leveraging AI-assisted tools to enhance proposals delivery or operational efficiency Executive presence and ability to influence senior civil servants, directors and C-level stakeholders Excellent written and verbal English, with proven experience producing compelling proposals, tenders and executive communications Skilled in leading geographically distributed, multi-vendor and multidisciplinary teams Strong commercial awareness negotiation and decision-making skills Nice to have Active UK Security Clearance (SC or DV) APMP or equivalent bid management certification Experience modernising legacy government systems using cloud-native technologies Background in global system integrators or technology consultancies delivering public sector transformation programmes We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
Description Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS' multi-tenant infrastructure. Key job responsibilities As a Senior Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers' trust in us. You'll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you'll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: About The Team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, and includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications Experience with AWS services or other cloud offerings Experience working in identifying security issues and risks, and developing mitigation plans Experience (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques Experience (non-internship) in scripting, programming, and security code reviewing in a common programming language Experience (non-internship) in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications Experience applying threat modeling or other risk identification techniques or equivalent Experience with security in service-oriented architectures/microservices and web services Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Company AWS EMEA SARL (UK Branch) Job ID: A
Sep 23, 2026
Full time
Description Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS' multi-tenant infrastructure. Key job responsibilities As a Senior Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers' trust in us. You'll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you'll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: About The Team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, and includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications Experience with AWS services or other cloud offerings Experience working in identifying security issues and risks, and developing mitigation plans Experience (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques Experience (non-internship) in scripting, programming, and security code reviewing in a common programming language Experience (non-internship) in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications Experience applying threat modeling or other risk identification techniques or equivalent Experience with security in service-oriented architectures/microservices and web services Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Company AWS EMEA SARL (UK Branch) Job ID: A
Your role As an Engineering Manager, you will play a pivotal role in shaping and steering the NPI technical roadmap. Reporting directly to the VP Engineering Dry Pumps, you will lead the development and execution of a technical roadmap that is closely aligned with our long-term strategic objectives in pump technology. Working collaboratively across engineering and programme teams, you will ensure strong alignment between technical direction and programme delivery, effectively balancing priorities, resources, and milestones to drive technical readiness and business outcomes. A key aspect of the role will be strengthening engineering capability across the UK GTC by building deep technical expertise and establishing a structured engineering rotation programme. This programme will enhance knowledge sharing, accelerate capability development, and increase technical depth across our global engineering centres in the UK, Cheonan (Korea), and Qingdao (China), supporting our strategic growth ambitions and future technology needs. Main Responsibilities Lead engineering teams with technical governance and decision-making authority across diverse disciplines including mechanical, electrical, software, motor, and controls systems, ensuring all aspects of pump technology development are cohesively integrated. Maintain continuous alignment between the technical roadmap and program pipeline, establishing clear priorities, managing dependencies, and guiding critical decision points to mitigate risk and expedite delivery. Translate market and customer requirements, reliability standards, manufacturing considerations, and cost constraints into an actionable and scalable engineering strategy that supports product differentiation and competitive advantage. Champion a culture of experimentation and disciplined innovation by encouraging early-stage prototyping, rapid iteration, and data-driven technical decisions aligned to strategic priorities. Enhance engineering capabilities across distributed teams through targeted talent development programs and rotational assignments, fostering a high-performance culture grounded in diversity, inclusion, and continuous learning. Influence product portfolio and program decisions by articulating well-evaluated technical options, analyzing trade-offs, assessing risks, and escalating issues appropriately to senior leadership. Promote standardization, modular design, and component reuse across pump platforms to drive improvements in time-to-market, product quality, cost efficiency, serviceability, and sustainability. Above all, you will be an inspirational leader and mentor, dedicated to developing your team, nurturing talent, and embedding a strong engineering culture that embraces diversity, collaboration, and high performance. To succeed, you will need Experience And Knowledge Experience in vacuum pump development, semiconductor equipment, or complex engineered products. Proven track record in leading multi-disciplinary engineering development across mechanical, electrical, software, motor, controls, and system-level domains. Experience creating and governing technical development roadmaps and aligning them with programme, product, and portfolio roadmaps. Deep Understanding Of Pump architecture, performance, reliability, manufacturability, and serviceability trade-off Interfaces between mechanical systems, electronics, motors, controls, software, and diagnostics NPI / stage-gate processes, technology readiness, risk management, and development failure modes Experience building engineering capability across global and matrix organisations, ideally including UK, Korea and China engineering teams Strong appreciation of commercial drivers, product competitiveness, cost, sustainability, and customer value. Skills Strong technical leadership with the ability to set direction and create followership across engineering teams. Ability to align technical and programme roadmaps in ambiguous and fast-moving environments. Strong influencing, constructive challenge, and decision-shaping capability at senior levels. Ability to develop engineering talent, build competencies, and raise technical standards across sites. Ability to simplify complex technical topics into clear executive communication, trade-offs, and recommendations. Strong ownership mindset with focus on outcomes, accountability, and strategic impact. Resilience and confidence to enable disciplined risk-taking, challenge assumptions, and drive decisions to closure. We welcome applications from a broad international talent pool. Please note that the successful candidate will be employed under Local Plus Terms and Conditions. In return, we offer A positive and inclusive culture emphasizing trust, accountability, and respect to empower employees at all levels. Comprehensive opportunities for lifelong learning, professional development, and career progression supported by tailored training programs and mentoring. An innovative environment where your ideas and leadership directly impact our technology and products driving industry advancements. Competitive compensation packages including salary, bonuses, and benefits designed to support your health, well-being, and work-life balance. Access to wellness programs, healthcare resources, and supportive workplace initiatives to promote overall employee well-being. Job location This position is based in our Burgess Hill location, offering a flexible and hybrid working arrangement that blends onsite collaboration with the convenience of remote work. This approach facilitates a dynamic and connected work environment, allowing you to balance productivity, team engagement, and personal preferences. Contact information For further information or any questions regarding this opportunity, reach out to our Talent Acquisition Team: Talent Acquisition Team: Natalie Clark Uniting curious minds Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.
Sep 23, 2026
Full time
Your role As an Engineering Manager, you will play a pivotal role in shaping and steering the NPI technical roadmap. Reporting directly to the VP Engineering Dry Pumps, you will lead the development and execution of a technical roadmap that is closely aligned with our long-term strategic objectives in pump technology. Working collaboratively across engineering and programme teams, you will ensure strong alignment between technical direction and programme delivery, effectively balancing priorities, resources, and milestones to drive technical readiness and business outcomes. A key aspect of the role will be strengthening engineering capability across the UK GTC by building deep technical expertise and establishing a structured engineering rotation programme. This programme will enhance knowledge sharing, accelerate capability development, and increase technical depth across our global engineering centres in the UK, Cheonan (Korea), and Qingdao (China), supporting our strategic growth ambitions and future technology needs. Main Responsibilities Lead engineering teams with technical governance and decision-making authority across diverse disciplines including mechanical, electrical, software, motor, and controls systems, ensuring all aspects of pump technology development are cohesively integrated. Maintain continuous alignment between the technical roadmap and program pipeline, establishing clear priorities, managing dependencies, and guiding critical decision points to mitigate risk and expedite delivery. Translate market and customer requirements, reliability standards, manufacturing considerations, and cost constraints into an actionable and scalable engineering strategy that supports product differentiation and competitive advantage. Champion a culture of experimentation and disciplined innovation by encouraging early-stage prototyping, rapid iteration, and data-driven technical decisions aligned to strategic priorities. Enhance engineering capabilities across distributed teams through targeted talent development programs and rotational assignments, fostering a high-performance culture grounded in diversity, inclusion, and continuous learning. Influence product portfolio and program decisions by articulating well-evaluated technical options, analyzing trade-offs, assessing risks, and escalating issues appropriately to senior leadership. Promote standardization, modular design, and component reuse across pump platforms to drive improvements in time-to-market, product quality, cost efficiency, serviceability, and sustainability. Above all, you will be an inspirational leader and mentor, dedicated to developing your team, nurturing talent, and embedding a strong engineering culture that embraces diversity, collaboration, and high performance. To succeed, you will need Experience And Knowledge Experience in vacuum pump development, semiconductor equipment, or complex engineered products. Proven track record in leading multi-disciplinary engineering development across mechanical, electrical, software, motor, controls, and system-level domains. Experience creating and governing technical development roadmaps and aligning them with programme, product, and portfolio roadmaps. Deep Understanding Of Pump architecture, performance, reliability, manufacturability, and serviceability trade-off Interfaces between mechanical systems, electronics, motors, controls, software, and diagnostics NPI / stage-gate processes, technology readiness, risk management, and development failure modes Experience building engineering capability across global and matrix organisations, ideally including UK, Korea and China engineering teams Strong appreciation of commercial drivers, product competitiveness, cost, sustainability, and customer value. Skills Strong technical leadership with the ability to set direction and create followership across engineering teams. Ability to align technical and programme roadmaps in ambiguous and fast-moving environments. Strong influencing, constructive challenge, and decision-shaping capability at senior levels. Ability to develop engineering talent, build competencies, and raise technical standards across sites. Ability to simplify complex technical topics into clear executive communication, trade-offs, and recommendations. Strong ownership mindset with focus on outcomes, accountability, and strategic impact. Resilience and confidence to enable disciplined risk-taking, challenge assumptions, and drive decisions to closure. We welcome applications from a broad international talent pool. Please note that the successful candidate will be employed under Local Plus Terms and Conditions. In return, we offer A positive and inclusive culture emphasizing trust, accountability, and respect to empower employees at all levels. Comprehensive opportunities for lifelong learning, professional development, and career progression supported by tailored training programs and mentoring. An innovative environment where your ideas and leadership directly impact our technology and products driving industry advancements. Competitive compensation packages including salary, bonuses, and benefits designed to support your health, well-being, and work-life balance. Access to wellness programs, healthcare resources, and supportive workplace initiatives to promote overall employee well-being. Job location This position is based in our Burgess Hill location, offering a flexible and hybrid working arrangement that blends onsite collaboration with the convenience of remote work. This approach facilitates a dynamic and connected work environment, allowing you to balance productivity, team engagement, and personal preferences. Contact information For further information or any questions regarding this opportunity, reach out to our Talent Acquisition Team: Talent Acquisition Team: Natalie Clark Uniting curious minds Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self propelled, generous, and genuine. People who love being part of a fast moving, fast thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission: Build the Engine, Not Just the Car We're the Machine Learning Services (MLS) team at UiPath-a small, sharp group of senior engineers building the core platform that powers UiPath's large scale AI and Document Understanding products. Our world is one of distributed systems, high throughput model serving, and complex asynchronous training workflows. We're looking for a systems level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model architectures. This isn't just about gluing APIs together; it's about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS level optimization, and building robust, multi tenant distributed systems, you'll fit right in What you'll do at UiPath Design, build, and operate the core MLS platform. This includes our Rust based API gateway, Python ML compute workers, and the distributed job queue that orchestrates it all. Solve hard concurrency, performance, and distributed systems problems to ensure our platform is bulletproof for high volume production workloads. Work directly with product and ML science teams to understand their needs and build the scalable infrastructure required to bring their models to life-from massive GenAI models to fine tuned, specialized classifiers. Develop our custom built, content addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob), complete with its own garbage collection and sharding logic. Enhance our asynchronous job queueing system, built from the ground up on the storage layer using compare and swap primitives for atomicity. No off the shelf message broker could handle our specific needs. Dive deep into the entire stack, from Kubernetes and container orchestration, through gRPC based service communication, to the performance tuning of ONNX based inference on GPU accelerated hardware. Write clean, efficient, and rigorously tested code. We value simplicity, correctness, and peer review. What you'll bring to the team A solid track record (5+ years) of engineering and architecting large scale, distributed commercial services. Your experience speaks for itself. Deep proficiency in a systems level language (Rust, C++, Go). A willingness and curiosity to become an expert in Rust is essential, as it's the foundation of our core services. Strong Python skills are also critical. Real world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). You should understand how production systems are deployed, monitored, and scaled. A firm grasp of concurrency, multithreading, and asynchronous programming. You know the difference between a mutex and a channel, and you know when (and when not) to use them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. You should be comfortable challenging assumptions (including our own) and contributing to a culture of continuous improvement. You're a builder and a problem solver at heart. Nice to Haves (but we can teach you): You've already worked with Rust in a production environment. Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi tenant, high availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job queueing systems before and have the scars to prove it. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Sep 23, 2026
Full time
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self propelled, generous, and genuine. People who love being part of a fast moving, fast thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission: Build the Engine, Not Just the Car We're the Machine Learning Services (MLS) team at UiPath-a small, sharp group of senior engineers building the core platform that powers UiPath's large scale AI and Document Understanding products. Our world is one of distributed systems, high throughput model serving, and complex asynchronous training workflows. We're looking for a systems level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model architectures. This isn't just about gluing APIs together; it's about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS level optimization, and building robust, multi tenant distributed systems, you'll fit right in What you'll do at UiPath Design, build, and operate the core MLS platform. This includes our Rust based API gateway, Python ML compute workers, and the distributed job queue that orchestrates it all. Solve hard concurrency, performance, and distributed systems problems to ensure our platform is bulletproof for high volume production workloads. Work directly with product and ML science teams to understand their needs and build the scalable infrastructure required to bring their models to life-from massive GenAI models to fine tuned, specialized classifiers. Develop our custom built, content addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob), complete with its own garbage collection and sharding logic. Enhance our asynchronous job queueing system, built from the ground up on the storage layer using compare and swap primitives for atomicity. No off the shelf message broker could handle our specific needs. Dive deep into the entire stack, from Kubernetes and container orchestration, through gRPC based service communication, to the performance tuning of ONNX based inference on GPU accelerated hardware. Write clean, efficient, and rigorously tested code. We value simplicity, correctness, and peer review. What you'll bring to the team A solid track record (5+ years) of engineering and architecting large scale, distributed commercial services. Your experience speaks for itself. Deep proficiency in a systems level language (Rust, C++, Go). A willingness and curiosity to become an expert in Rust is essential, as it's the foundation of our core services. Strong Python skills are also critical. Real world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). You should understand how production systems are deployed, monitored, and scaled. A firm grasp of concurrency, multithreading, and asynchronous programming. You know the difference between a mutex and a channel, and you know when (and when not) to use them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. You should be comfortable challenging assumptions (including our own) and contributing to a culture of continuous improvement. You're a builder and a problem solver at heart. Nice to Haves (but we can teach you): You've already worked with Rust in a production environment. Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi tenant, high availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job queueing systems before and have the scars to prove it. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
An opportunity to work on frontier AI with a top-tier engineering team. To meaningfully contribute toward work that has far reaching impact. Our client is a well-backed frontier AI company building next generation systems. It's a business that is growing fast but selectively. The data platform is what will fuel substantial further growth and it needs senior people to own it. You've built data platforms at scale and you're happy when the pipeline you own is the reason a team can move fast and be impactful. You think like a software engineer who went deep on data, not a data analyst who picked up Python. What You'll Be Doing You'll design and build the core data platform from the ground up - the ingestion, storage, and processing layers that everything else depends on. You'll take ownership of how data moves through the company: how it's collected at high volume, how it's validated, how it's served back to the teams who need it in a shape they can trust. You'll turn messy, evolving needs into durable systems. The needs of a fast-moving research team can shift, so you'll build for change. You'll set the standard for data quality and reliability at a company where the output is only as good as the data feeding it. You'll own the hard calls on architecture, tooling, and trade-offs, and you'll be the person others reach for when something at the data layer has to be right. Because the platform is early, you'll have unusual latitude - you're authoring the foundations, not maintaining someone else's. What You'll Need Deep experience building and owning data platforms or large-scale data infrastructure in production, not just consuming them Strong software engineering fundamentals - you write code other engineers rely on, and you think in systems, not scripts Fluency with modern data processing at volume (distributed processing, streaming or batch pipelines, warehousing/lakehouse patterns) A track record of taking loosely-defined problems and turning them into systems that hold up Bonus: Exposure to ML or AI workloads and the data demands they bring Experience being early at a company or on a platform - comfortable with the ambiguity that comes with it. The Person You're pragmatic about tools and focused on outcomes. You've been the owner before, not just a contributor - you know what it takes to be accountable for the layer that everyone else depends on. You move fast without leaving a mess, and you'd rather build the thing right once than three times badly. The Role Based in the UK. This role does not offer visa sponsorship, so you'll need existing right to work in the UK. Very competitive salary and meaningful equity.
Sep 23, 2026
Full time
An opportunity to work on frontier AI with a top-tier engineering team. To meaningfully contribute toward work that has far reaching impact. Our client is a well-backed frontier AI company building next generation systems. It's a business that is growing fast but selectively. The data platform is what will fuel substantial further growth and it needs senior people to own it. You've built data platforms at scale and you're happy when the pipeline you own is the reason a team can move fast and be impactful. You think like a software engineer who went deep on data, not a data analyst who picked up Python. What You'll Be Doing You'll design and build the core data platform from the ground up - the ingestion, storage, and processing layers that everything else depends on. You'll take ownership of how data moves through the company: how it's collected at high volume, how it's validated, how it's served back to the teams who need it in a shape they can trust. You'll turn messy, evolving needs into durable systems. The needs of a fast-moving research team can shift, so you'll build for change. You'll set the standard for data quality and reliability at a company where the output is only as good as the data feeding it. You'll own the hard calls on architecture, tooling, and trade-offs, and you'll be the person others reach for when something at the data layer has to be right. Because the platform is early, you'll have unusual latitude - you're authoring the foundations, not maintaining someone else's. What You'll Need Deep experience building and owning data platforms or large-scale data infrastructure in production, not just consuming them Strong software engineering fundamentals - you write code other engineers rely on, and you think in systems, not scripts Fluency with modern data processing at volume (distributed processing, streaming or batch pipelines, warehousing/lakehouse patterns) A track record of taking loosely-defined problems and turning them into systems that hold up Bonus: Exposure to ML or AI workloads and the data demands they bring Experience being early at a company or on a platform - comfortable with the ambiguity that comes with it. The Person You're pragmatic about tools and focused on outcomes. You've been the owner before, not just a contributor - you know what it takes to be accountable for the layer that everyone else depends on. You move fast without leaving a mess, and you'd rather build the thing right once than three times badly. The Role Based in the UK. This role does not offer visa sponsorship, so you'll need existing right to work in the UK. Very competitive salary and meaningful equity.
numi has partnered with a fast-scaling AI and mobility technology pioneer to recruit a Manager, Software Engineering to lead the development of their flagship global e-commerce and pre-book mobility platform. About the Role In this role, you will drive the vision and technical execution for an enterprise platform powering customer-facing e-commerce experiences across major global airport hubs. You will lead a team of senior engineers, partnering closely with Product Management, Data Science, and Design to scale high-availability, distributed microservices handling high-volume traffic. What You'll Do Partner with Product, Data, and Design to execute a multi-year platform strategy. Manage, mentor, and coach an engineering team, fostering a high-trust, collaborative culture. Drive recruitment efforts to build out a strong team of senior individual contributors. Establish operational processes to guarantee high availability, security, and reliability across distributed systems. Leverage test automation, TDD/BDD, and modern CI/CD pipelines to accelerate data-informed experimentation. Collaborate directly with global enterprise partners on API integrations and workflow applications. Cultivate an engineering environment where production issues are viewed as constructive architectural learning opportunities. What We're Looking For 5+ years in software engineering management alongside 10+ years of hands-on software development experience. Proven track record scaling and leading teams (10+ engineers) in customer-centric B2C or B2B environments. Technical depth in designing and delivering large-scale distributed systems, microservices, and event-driven architectures. Deep experience with database technologies (MySQL, PostgreSQL) and Agile engineering processes. Experience leveraging AI tooling (such as GitHub Copilot) to enhance developer productivity. Strong communication skills with the ability to articulate complex architecture to executives and cross-functional teams. BS/MS in Computer Science or equivalent practical experience. Bonus: Experience with e-commerce platforms, containerization, Infrastructure as Code (IaC), or fast-paced SaaS environments. Cloud & Observability: AWS, Git, Datadog
Sep 23, 2026
Full time
numi has partnered with a fast-scaling AI and mobility technology pioneer to recruit a Manager, Software Engineering to lead the development of their flagship global e-commerce and pre-book mobility platform. About the Role In this role, you will drive the vision and technical execution for an enterprise platform powering customer-facing e-commerce experiences across major global airport hubs. You will lead a team of senior engineers, partnering closely with Product Management, Data Science, and Design to scale high-availability, distributed microservices handling high-volume traffic. What You'll Do Partner with Product, Data, and Design to execute a multi-year platform strategy. Manage, mentor, and coach an engineering team, fostering a high-trust, collaborative culture. Drive recruitment efforts to build out a strong team of senior individual contributors. Establish operational processes to guarantee high availability, security, and reliability across distributed systems. Leverage test automation, TDD/BDD, and modern CI/CD pipelines to accelerate data-informed experimentation. Collaborate directly with global enterprise partners on API integrations and workflow applications. Cultivate an engineering environment where production issues are viewed as constructive architectural learning opportunities. What We're Looking For 5+ years in software engineering management alongside 10+ years of hands-on software development experience. Proven track record scaling and leading teams (10+ engineers) in customer-centric B2C or B2B environments. Technical depth in designing and delivering large-scale distributed systems, microservices, and event-driven architectures. Deep experience with database technologies (MySQL, PostgreSQL) and Agile engineering processes. Experience leveraging AI tooling (such as GitHub Copilot) to enhance developer productivity. Strong communication skills with the ability to articulate complex architecture to executives and cross-functional teams. BS/MS in Computer Science or equivalent practical experience. Bonus: Experience with e-commerce platforms, containerization, Infrastructure as Code (IaC), or fast-paced SaaS environments. Cloud & Observability: AWS, Git, Datadog
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Your responsibility is to design the migration-specific architecture that enables the programme to execute: how IRU, JAMF, Mosyle, Apple Business Manager, Automated Device Enrolment (ADE), Platform Single Sign-On (PSSO), Microsoft Entra ID, device trust, compliance controls, certificates, application readiness and operational tooling work together during the migration lifecycle. You will translate discovery and pilot learnings into migration blueprints, integration designs, technical decision records, repeatable runbooks and validation gates that Scale and Factory teams can execute. The role requires a practitioner-architect who understands real Apple enterprise migration constraints: ADE assignment behaviour, supervision state, local account/user state implications, Platform SSO onboarding, Secure Token and FileVault considerations, certificate trust chains, configuration profile impacts, application packaging, Apple Silicon/Intel differences and the operational realities of migrating large, distributed Mac populations. This is not a generic macOS administration or MDM engineering role. Candidates must be able to evidence production Apple/macOS migration architecture experience, including how migration tooling, identity integration, security posture, user experience and cutover execution were designed and validated. Key Responsibilities: Design the Apple/macOS tenant-to-tenant migration architecture for the programme, ensuring it is practical for pilot, scale and factory execution. Define how IRU will be used within the migration lifecycle, including discovery inputs, migration sequencing, user/device state handling, exception treatment, reporting and operational handoff. Design the migration integration model across Apple Business Manager, ADE, IRU, Platform SSO, Microsoft Entra ID, Conditional Access, compliance controls and endpoint management tooling. Define migration-specific ADE patterns including device assignment flow, enrolment profile considerations, supervision assumptions, re-enrolment/re-provisioning paths and validation checkpoints. Develop Platform SSO migration patterns covering user onboarding, identity registration, local account behaviour, authentication resilience and user experience during tenant transition. Define migration considerations for Secure Token, Bootstrap Token, FileVault recovery key escrow/rotation, certificates, SCEP/PKI dependencies and device trust. Identify macOS configuration profile risks that may affect migration, including PPPC, System Extensions, Network Extensions, Login Items, certificates, security baselines and application controls. Define migration readiness, go/no-go, validation and rollback criteria for Apple/macOS cohorts, including VIP, developer, remote, shared and high-risk device personas. Produce migration architecture artefacts including HLDs, LLDs, migration integration designs, architecture decision records, runbooks, validation templates and known-issue patterns. Support pilots, migration rehearsals and cutover readiness reviews, incorporating lessons learned into updated migration patterns without assuming ownership of the long-term customer platform. Provide technical guidance to Scale and Factory teams where migration design, integration behaviour or Apple-specific constraints require architectural interpretation. Work with programme architecture, identity, security, endpoint, application and service transition teams to ensure Apple/macOS migration dependencies are understood, sequenced and evidenced. Who You Are You're good at what you do and can demonstrate the experience to prove it. You bring a growth mindset, you stay focused on customer outcomes and you collaborate in an open, inclusive, "one team" way across global delivery organisations. Must-Have (or Equivalent Experience) Production experience designing Apple/macOS migration architecture for Microsoft 365 tenant-to-tenant or directly comparable enterprise tenant transition programmes. Deep practical understanding of IRU or equivalent Apple/macOS migration tooling, including how tooling is integrated into discovery, migration execution, validation and operational reporting. Strong Apple Business Manager and ADE knowledge in migration contexts, including assignment flows, enrolment profile behaviour, supervision, device lifecycle constraints and re-provisioning implications. Strong Platform SSO knowledge, including Microsoft Entra integration, local account behaviour, authentication flows and user experience impacts during migration. Strong understanding of macOS security and identity dependencies relevant to migration: Secure Token, Bootstrap Token, FileVault, recovery key escrow, certificates, SCEP/PKI, Conditional Access and compliance evaluation. Experience identifying and designing around migration blockers created by configuration profiles, PPPC, System Extensions, Network Extensions, Login Items, security tools and application controls. Ability to design repeatable migration patterns for varied Mac personas such as executives, developers, remote workers, shared devices and high-risk application users. Proven ability to produce clear migration architecture artefacts: HLDs, LLDs, decision records, runbooks, readiness gates, validation criteria and exception patterns. Strong stakeholder engagement with architecture, security, identity, endpoint engineering, service transition and delivery teams in a complex migration programme. Good-to-Have Jamf enterprise migration or coexistence experience where Jamf is part of the source, transition or legacy management landscape. Experience with Apple Silicon and Intel coexistence, Rosetta considerations, application packaging, notarisation and enterprise software deployment patterns. Experience with Declarative Device Management and modern macOS management models where relevant to migration readiness or target-state validation. Automation experience using Bash, Python, PowerShell, Microsoft Graph or MDM APIs for readiness checks, reporting, validation or remediation. Experience supporting large, multi-region enterprise migrations with strict governance, evidence capture, security controls and cutover discipline. Relevant Apple, Microsoft 365, identity/security or endpoint certifications, or equivalent proven delivery experience. Interpersonal & Consulting Skills Credible Apple/macOS migration authority who can explain technical constraints clearly without overstating ownership or scope. Strong consulting mindset: frames options, trade-offs, assumptions, risks and recommended migration decisions. Evidence-led and practical: designs patterns that can actually be executed at scale, not theoretical architecture. Collaborative across customer, partner and internal teams; works through influence, clarity and strong documentation. Comfortable challenging unsafe migration assumptions using technical evidence and agreed programme governance. Able to translate Apple-specific migration complexity into language that identity, security, programme and service teams can act on. Typical Deliverables / KPIs Apple/macOS migration architecture and integration design approved through programme governance. IRU migration approach documented with sequencing, validation, exception and rollback patterns. ADE, Platform SSO, Entra, compliance and security integration patterns documented for migration execution. Pilot migration outcomes translated into repeatable runbooks and quality gates for Scale and Factory teams. Reduction in migration defects caused by unclear Apple/macOS integration design or missed readiness dependencies. Evidence packs and validation criteria defined for Apple/macOS migration readiness, cutover and acceptance. Known-issue catalogue and remediation patterns maintained for recurring Apple/macOS migration blockers. Working Pattern Notes Primary UK business hours, with expected flexibility for architecture workshops, pilot events, readiness reviews, cutover planning and critical migration windows across regions. This role is not a 24x7 factory shift role, but migration events may require early/late calls or occasional weekend support. Being You The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers . click apply for full job details
Sep 23, 2026
Full time
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Your responsibility is to design the migration-specific architecture that enables the programme to execute: how IRU, JAMF, Mosyle, Apple Business Manager, Automated Device Enrolment (ADE), Platform Single Sign-On (PSSO), Microsoft Entra ID, device trust, compliance controls, certificates, application readiness and operational tooling work together during the migration lifecycle. You will translate discovery and pilot learnings into migration blueprints, integration designs, technical decision records, repeatable runbooks and validation gates that Scale and Factory teams can execute. The role requires a practitioner-architect who understands real Apple enterprise migration constraints: ADE assignment behaviour, supervision state, local account/user state implications, Platform SSO onboarding, Secure Token and FileVault considerations, certificate trust chains, configuration profile impacts, application packaging, Apple Silicon/Intel differences and the operational realities of migrating large, distributed Mac populations. This is not a generic macOS administration or MDM engineering role. Candidates must be able to evidence production Apple/macOS migration architecture experience, including how migration tooling, identity integration, security posture, user experience and cutover execution were designed and validated. Key Responsibilities: Design the Apple/macOS tenant-to-tenant migration architecture for the programme, ensuring it is practical for pilot, scale and factory execution. Define how IRU will be used within the migration lifecycle, including discovery inputs, migration sequencing, user/device state handling, exception treatment, reporting and operational handoff. Design the migration integration model across Apple Business Manager, ADE, IRU, Platform SSO, Microsoft Entra ID, Conditional Access, compliance controls and endpoint management tooling. Define migration-specific ADE patterns including device assignment flow, enrolment profile considerations, supervision assumptions, re-enrolment/re-provisioning paths and validation checkpoints. Develop Platform SSO migration patterns covering user onboarding, identity registration, local account behaviour, authentication resilience and user experience during tenant transition. Define migration considerations for Secure Token, Bootstrap Token, FileVault recovery key escrow/rotation, certificates, SCEP/PKI dependencies and device trust. Identify macOS configuration profile risks that may affect migration, including PPPC, System Extensions, Network Extensions, Login Items, certificates, security baselines and application controls. Define migration readiness, go/no-go, validation and rollback criteria for Apple/macOS cohorts, including VIP, developer, remote, shared and high-risk device personas. Produce migration architecture artefacts including HLDs, LLDs, migration integration designs, architecture decision records, runbooks, validation templates and known-issue patterns. Support pilots, migration rehearsals and cutover readiness reviews, incorporating lessons learned into updated migration patterns without assuming ownership of the long-term customer platform. Provide technical guidance to Scale and Factory teams where migration design, integration behaviour or Apple-specific constraints require architectural interpretation. Work with programme architecture, identity, security, endpoint, application and service transition teams to ensure Apple/macOS migration dependencies are understood, sequenced and evidenced. Who You Are You're good at what you do and can demonstrate the experience to prove it. You bring a growth mindset, you stay focused on customer outcomes and you collaborate in an open, inclusive, "one team" way across global delivery organisations. Must-Have (or Equivalent Experience) Production experience designing Apple/macOS migration architecture for Microsoft 365 tenant-to-tenant or directly comparable enterprise tenant transition programmes. Deep practical understanding of IRU or equivalent Apple/macOS migration tooling, including how tooling is integrated into discovery, migration execution, validation and operational reporting. Strong Apple Business Manager and ADE knowledge in migration contexts, including assignment flows, enrolment profile behaviour, supervision, device lifecycle constraints and re-provisioning implications. Strong Platform SSO knowledge, including Microsoft Entra integration, local account behaviour, authentication flows and user experience impacts during migration. Strong understanding of macOS security and identity dependencies relevant to migration: Secure Token, Bootstrap Token, FileVault, recovery key escrow, certificates, SCEP/PKI, Conditional Access and compliance evaluation. Experience identifying and designing around migration blockers created by configuration profiles, PPPC, System Extensions, Network Extensions, Login Items, security tools and application controls. Ability to design repeatable migration patterns for varied Mac personas such as executives, developers, remote workers, shared devices and high-risk application users. Proven ability to produce clear migration architecture artefacts: HLDs, LLDs, decision records, runbooks, readiness gates, validation criteria and exception patterns. Strong stakeholder engagement with architecture, security, identity, endpoint engineering, service transition and delivery teams in a complex migration programme. Good-to-Have Jamf enterprise migration or coexistence experience where Jamf is part of the source, transition or legacy management landscape. Experience with Apple Silicon and Intel coexistence, Rosetta considerations, application packaging, notarisation and enterprise software deployment patterns. Experience with Declarative Device Management and modern macOS management models where relevant to migration readiness or target-state validation. Automation experience using Bash, Python, PowerShell, Microsoft Graph or MDM APIs for readiness checks, reporting, validation or remediation. Experience supporting large, multi-region enterprise migrations with strict governance, evidence capture, security controls and cutover discipline. Relevant Apple, Microsoft 365, identity/security or endpoint certifications, or equivalent proven delivery experience. Interpersonal & Consulting Skills Credible Apple/macOS migration authority who can explain technical constraints clearly without overstating ownership or scope. Strong consulting mindset: frames options, trade-offs, assumptions, risks and recommended migration decisions. Evidence-led and practical: designs patterns that can actually be executed at scale, not theoretical architecture. Collaborative across customer, partner and internal teams; works through influence, clarity and strong documentation. Comfortable challenging unsafe migration assumptions using technical evidence and agreed programme governance. Able to translate Apple-specific migration complexity into language that identity, security, programme and service teams can act on. Typical Deliverables / KPIs Apple/macOS migration architecture and integration design approved through programme governance. IRU migration approach documented with sequencing, validation, exception and rollback patterns. ADE, Platform SSO, Entra, compliance and security integration patterns documented for migration execution. Pilot migration outcomes translated into repeatable runbooks and quality gates for Scale and Factory teams. Reduction in migration defects caused by unclear Apple/macOS integration design or missed readiness dependencies. Evidence packs and validation criteria defined for Apple/macOS migration readiness, cutover and acceptance. Known-issue catalogue and remediation patterns maintained for recurring Apple/macOS migration blockers. Working Pattern Notes Primary UK business hours, with expected flexibility for architecture workshops, pilot events, readiness reviews, cutover planning and critical migration windows across regions. This role is not a 24x7 factory shift role, but migration events may require early/late calls or occasional weekend support. Being You The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers . click apply for full job details
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The Monolith Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet, Infrastructure, and AI Platform teams to embed data science directly into production environments-improving cluster reliability, increasing effective utilization (MFU), reducing MTTR, and protecting uptime and revenue. About The Role As a Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry data, and build predictive and optimization solutions that are tightly integrated into production workflows. This role blends hands on deployment with analytical rigor, turning complex infrastructure data into measurable improvements in performance and cost. You will translate research and modeling insights into scalable, production ready systems. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed data systems (Spark, Ray, Dask, or similar) Proficiency in SQL and working with large-scale structured datasets Experience building, deploying, and maintaining predictive models in production environments Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning) Experience working with time series data and performance telemetry Ability to translate analytical insights into production ready systems and workflows Strong collaboration skills and ability to work cross functionally in fast paced environments Preferred PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling Experience with GPU workloads, distributed training, or AI infrastructure Familiarity with Kubernetes, containerized workloads, or cloud native systems Experience deploying reinforcement learning or adaptive scheduling systems in production Background in capacity planning, forecasting, or resource allocation modeling Contributions to open source ML or systems projects Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams-even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love uncovering hidden failure patterns in massive, noisy infrastructure datasets You enjoy working directly with engineering teams to deploy solutions that have immediate real world impact You're curious about building autonomous, agentic systems that investigate and explain system behavior You're an expert in reinforcement learning, predictive modeling, or large scale data analysis Why CoreWeave? About At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family level Medical Insurance Family level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. or (iv) asylee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Updated privacy notice - UK and EU Job Applications When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. ("Controller"), which is located at Phosphor (6th Floor), 133 Park Street, London, SE1 9EA and can be contacted by emailing . Controller's data protection officer can be contacted at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) and 5(1)(f) and 5(2)(c) of the GDPR and the UK GDPR (the "Data Protection Laws"). Your personal data will be transferred to GreenHouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at . Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability . click apply for full job details
Sep 23, 2026
Full time
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The Monolith Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet, Infrastructure, and AI Platform teams to embed data science directly into production environments-improving cluster reliability, increasing effective utilization (MFU), reducing MTTR, and protecting uptime and revenue. About The Role As a Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry data, and build predictive and optimization solutions that are tightly integrated into production workflows. This role blends hands on deployment with analytical rigor, turning complex infrastructure data into measurable improvements in performance and cost. You will translate research and modeling insights into scalable, production ready systems. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed data systems (Spark, Ray, Dask, or similar) Proficiency in SQL and working with large-scale structured datasets Experience building, deploying, and maintaining predictive models in production environments Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning) Experience working with time series data and performance telemetry Ability to translate analytical insights into production ready systems and workflows Strong collaboration skills and ability to work cross functionally in fast paced environments Preferred PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling Experience with GPU workloads, distributed training, or AI infrastructure Familiarity with Kubernetes, containerized workloads, or cloud native systems Experience deploying reinforcement learning or adaptive scheduling systems in production Background in capacity planning, forecasting, or resource allocation modeling Contributions to open source ML or systems projects Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams-even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love uncovering hidden failure patterns in massive, noisy infrastructure datasets You enjoy working directly with engineering teams to deploy solutions that have immediate real world impact You're curious about building autonomous, agentic systems that investigate and explain system behavior You're an expert in reinforcement learning, predictive modeling, or large scale data analysis Why CoreWeave? About At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family level Medical Insurance Family level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. or (iv) asylee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Updated privacy notice - UK and EU Job Applications When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. ("Controller"), which is located at Phosphor (6th Floor), 133 Park Street, London, SE1 9EA and can be contacted by emailing . Controller's data protection officer can be contacted at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) and 5(1)(f) and 5(2)(c) of the GDPR and the UK GDPR (the "Data Protection Laws"). Your personal data will be transferred to GreenHouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at . Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability . click apply for full job details
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: As a Corporate Account Executive you will be responsible for driving new business opportunities within enterprise clients, whilst growing existing client relationships. You will position CrowdStrike as the supplier of choice within your accounts. To meet and exceed your individual sales quota, you will drive the sales cycle to success. You will meet the client's requirements and be responsible for collaborating with the relevant internal teams to deliver successful sales proposals. The right candidate will possess excellent energy and drive and a real desire to build business across a portfolio of accounts. They will have the ability to build effective relationships quickly and to find a valuable business within each account immediately that can then be enhanced by leveraging internal resources. Candidates with current strong security contacts are encouraged to apply. This role requires you to come into our Reading office two days a week What You'll Do: Lead the full sales cycle, from prospecting to closing, with a focus on acquiring new customers and expanding within existing accounts. Develop and execute account strategies to drive revenue growth across the assigned territory, working independently and collaboratively. Build and maintain strong, long-term customer relationships, positioning CrowdStrike as a trusted security partner. Work closely with internal teams (Sales, Channel, Marketing, Sales Engineering, Customer Success, and Product Development) to drive engagement and visibility with key accounts. Leverage channel partners to identify and secure new business opportunities. Provide accurate forecasting and sales reporting. Maintain up-to-date prospect and customer information using and Clari. Stay informed about the cybersecurity landscape, including CrowdStrike's product offerings and the competitive market. Adapt to different time zones as needed and be willing to travel occasionally for key customer meetings and industry events. What You'll Need: A proactive and ambitious sales professional with a track record of exceeding sales targets. Experience in B2B sales within cybersecurity, cloud, SaaS, or IT solutions. Ability to navigate complex sales processes and engage with key decision-makers, including C-level executives. Strong problem-solving skills, with the ability to think strategically and offer consultative solutions to customers. Excellent communication and presentation skills, both in person and virtually. Ability to work effectively with channel partners, resellers, and managed service providers. A self-motivated, disciplined approach to sales, with strong organisational skills and attention to detail. Fluency in English Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.
Sep 23, 2026
Full time
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: As a Corporate Account Executive you will be responsible for driving new business opportunities within enterprise clients, whilst growing existing client relationships. You will position CrowdStrike as the supplier of choice within your accounts. To meet and exceed your individual sales quota, you will drive the sales cycle to success. You will meet the client's requirements and be responsible for collaborating with the relevant internal teams to deliver successful sales proposals. The right candidate will possess excellent energy and drive and a real desire to build business across a portfolio of accounts. They will have the ability to build effective relationships quickly and to find a valuable business within each account immediately that can then be enhanced by leveraging internal resources. Candidates with current strong security contacts are encouraged to apply. This role requires you to come into our Reading office two days a week What You'll Do: Lead the full sales cycle, from prospecting to closing, with a focus on acquiring new customers and expanding within existing accounts. Develop and execute account strategies to drive revenue growth across the assigned territory, working independently and collaboratively. Build and maintain strong, long-term customer relationships, positioning CrowdStrike as a trusted security partner. Work closely with internal teams (Sales, Channel, Marketing, Sales Engineering, Customer Success, and Product Development) to drive engagement and visibility with key accounts. Leverage channel partners to identify and secure new business opportunities. Provide accurate forecasting and sales reporting. Maintain up-to-date prospect and customer information using and Clari. Stay informed about the cybersecurity landscape, including CrowdStrike's product offerings and the competitive market. Adapt to different time zones as needed and be willing to travel occasionally for key customer meetings and industry events. What You'll Need: A proactive and ambitious sales professional with a track record of exceeding sales targets. Experience in B2B sales within cybersecurity, cloud, SaaS, or IT solutions. Ability to navigate complex sales processes and engage with key decision-makers, including C-level executives. Strong problem-solving skills, with the ability to think strategically and offer consultative solutions to customers. Excellent communication and presentation skills, both in person and virtually. Ability to work effectively with channel partners, resellers, and managed service providers. A self-motivated, disciplined approach to sales, with strong organisational skills and attention to detail. Fluency in English Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.
AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need motivated and inventive people to join us. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. The Data Center Global Services team is looking for a Controls Engineer for Construction (BMS/EPMS), responsible for the building automation systems within Amazon data centers to join our EMEA team. If you are passionate about the customer experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! Our Control Engineers technical background across project/construction management, mechanical, electrical or technology background enable them to undertake the challenges of sophisticated controls platforms to strategically align building controls and automation with the larger objectives of the business. They work individually and as part of a team to develop new products, support existing products, test and evaluate equipment. Key job responsibilities Controls Engineers in AWS deploys , maintains BMS (Building Management System) & EPMS (Electrical Power Monitoring System) across our leased/colocation data centers They co-ordinate with AWS DCEO (Data Center Engineering Operations) teams to implement new builds, upgrades etc and ensures high availability and high resiliency of these control systems. Ascertain customer needs to help develop project scope and specifications. Manage scopes of work relative to the site specifics and customer needs. Manage project engineering to determine the scope of work relative to the design intent of the customer needs Read and interpret specifications and implement those specifications as they apply the work environment. Develop control panel BOM's Develop ISA data sheets for temperature, level, flow, and pressure transmitters along with ISA data sheets for control valves, positioners, analytical, and various other types of instrumentation. Develop drawings for control panels, power distribution, junction boxes. Included in the drawings are the general arrangement, internal layout, schematics and interconnection and wiring diagrams. Develop logic diagrams in the International Automation format for complex logic devices such as Programmable Logical Controller and Distributed Control System. Prepare cable, routing plans and schedules. Perform inspections, testing, and commission of the facility systems. Coordinate project work internally within the department and externally with other departments to ensure on-time completion of projects within budget. Travel domestically and internationally to support other regions About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience in vendor management - Experience in a data center or other critical environment - Experience in data center engineering or operations - Experience with Microsoft Office including Outlook, Word, and Excel PREFERRED QUALIFICATIONS - Experience in construction, or experience in project management - Experience electrical, mechanical, or controls field - Experience as a general contractor and in vendor management (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution - 3+ years of on-site experience with industrial controls in critical environment (data center, pharmaceutical, oil & gas, petrochemical, etc), designing, configuring, installing, and/or servicing (Honeywell: Tridium Niagara, Building Controls/Trend, Schneider Electric, PowerLogic/Struxureware, Distech, Inductive Automation: Ignition) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Sep 23, 2026
Full time
AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need motivated and inventive people to join us. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. The Data Center Global Services team is looking for a Controls Engineer for Construction (BMS/EPMS), responsible for the building automation systems within Amazon data centers to join our EMEA team. If you are passionate about the customer experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! Our Control Engineers technical background across project/construction management, mechanical, electrical or technology background enable them to undertake the challenges of sophisticated controls platforms to strategically align building controls and automation with the larger objectives of the business. They work individually and as part of a team to develop new products, support existing products, test and evaluate equipment. Key job responsibilities Controls Engineers in AWS deploys , maintains BMS (Building Management System) & EPMS (Electrical Power Monitoring System) across our leased/colocation data centers They co-ordinate with AWS DCEO (Data Center Engineering Operations) teams to implement new builds, upgrades etc and ensures high availability and high resiliency of these control systems. Ascertain customer needs to help develop project scope and specifications. Manage scopes of work relative to the site specifics and customer needs. Manage project engineering to determine the scope of work relative to the design intent of the customer needs Read and interpret specifications and implement those specifications as they apply the work environment. Develop control panel BOM's Develop ISA data sheets for temperature, level, flow, and pressure transmitters along with ISA data sheets for control valves, positioners, analytical, and various other types of instrumentation. Develop drawings for control panels, power distribution, junction boxes. Included in the drawings are the general arrangement, internal layout, schematics and interconnection and wiring diagrams. Develop logic diagrams in the International Automation format for complex logic devices such as Programmable Logical Controller and Distributed Control System. Prepare cable, routing plans and schedules. Perform inspections, testing, and commission of the facility systems. Coordinate project work internally within the department and externally with other departments to ensure on-time completion of projects within budget. Travel domestically and internationally to support other regions About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience in vendor management - Experience in a data center or other critical environment - Experience in data center engineering or operations - Experience with Microsoft Office including Outlook, Word, and Excel PREFERRED QUALIFICATIONS - Experience in construction, or experience in project management - Experience electrical, mechanical, or controls field - Experience as a general contractor and in vendor management (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution - 3+ years of on-site experience with industrial controls in critical environment (data center, pharmaceutical, oil & gas, petrochemical, etc), designing, configuring, installing, and/or servicing (Honeywell: Tridium Niagara, Building Controls/Trend, Schneider Electric, PowerLogic/Struxureware, Distech, Inductive Automation: Ignition) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Acceleratorexists to change that. Based inLondonandsitting within Computational global organisationspanningcomputational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be 'omics data to identify novel therapeutictargets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest. AI Infrastructure underpins the success of the AI Accelerator: the scale, speed and cost of every model trained or served restson the compute, storage and platform substratedeployed.This includesgetting the best from existing on-prem capabilities as well assecuring best-value cloudcapabilities. THE POSITION We are seeking a senior leader of AIInfrastructureto join Computational Innovation'sAIAccelerator. In this role, you will own the technical infrastructure strategy for the AI Accelerator, ensuring the unit has the compute, storage and platform infrastructure it needs to train, fine-tune and serve biomedical foundation models at scale.You will lead the architecture, standards and practices for the compute and platform substrate on which the other teams depend, working wider CI data teams and IT, as well ascloud providers,to ensure that our AI scientists and ML teamsget the best from all available infrastructure. This is a technical leadership role that requires deep technical expertise and relationship building. You will be a senior member of the AI Enablement leadership team, contributing to the team's overall direction alongside the Senior Staff Data Engineer and Senior Staff MLOps Engineer. This is a unique opportunity to be part of a critical strategic initiative for a pharmaceutical company that invests heavily in research and development to discover and develop innovative therapies that can improve and extend lives in areas of high unmet medical need. Key Responsibilities Own, define and evolve a wholistic, multi-layer reference architecture spanning storage, compute, environments and platform stack, making appropriate use of vendor/integrator design patterns. Set the technical direction, strategy and roadmap for AI infrastructure, aligned to the various AI Enablement roadmaps and to portfolio/research priorities. Partner with Data Excellence to further development BI's Trusted Research Environment (TRE), ensuring the TRE supports secure, compliant AI workloads on sensitive data and evolves to meet the AI Accelerator's needs. In partnership with IT, shape the evolution of existing enterprise infrastructure to support large-scale AI and ensure best-value services while designing for portability. Establish ways of working, onboard and mentor other team members, and act as a senior escalation point for complex AI Infrastructure problems. Requirements PhDor MSc with equivalent experienceinaSTEM subject. Extensive experience as a senior staff-level infrastructure, platform or systems engineer for compute-intensive workloads, including setting architecture, standards and technical direction for a team or function. Deep expertise across the AI compute infrastructure stack: high-performance and GPU compute, storage and file systems, networking, container platforms and orchestration (e.g. Kubernetes), environment provisioning and infrastructure-as-code (e.g. Terraform). Significant experience with hybrid on-prem/cloud architectures, including right-sizing, cost optimisation and designing for portability to avoid lock-in. Expertise in providing infrastructure that enables large-scale AI workloads, including distributed training at scale. Understanding of security, access control, resilience/continuity and systems-operation rigour (ITIL or equivalent service management). Strong collaboration and influencing skills across technical and non-technical stakeholders; ability to explain complex technical concepts clearly and to mediate competing requirements. Experience mentoring or technically leading engineers and setting engineering principles. This is a hybrid role with approximately 4 days a week in the office. WHY THIS IS A GREAT PLACE TO WORK Boehringer Ingelheim has been recognised as aTop Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies. To learn more about why BI is a great place to work, visit:
Sep 23, 2026
Full time
Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Acceleratorexists to change that. Based inLondonandsitting within Computational global organisationspanningcomputational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be 'omics data to identify novel therapeutictargets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest. AI Infrastructure underpins the success of the AI Accelerator: the scale, speed and cost of every model trained or served restson the compute, storage and platform substratedeployed.This includesgetting the best from existing on-prem capabilities as well assecuring best-value cloudcapabilities. THE POSITION We are seeking a senior leader of AIInfrastructureto join Computational Innovation'sAIAccelerator. In this role, you will own the technical infrastructure strategy for the AI Accelerator, ensuring the unit has the compute, storage and platform infrastructure it needs to train, fine-tune and serve biomedical foundation models at scale.You will lead the architecture, standards and practices for the compute and platform substrate on which the other teams depend, working wider CI data teams and IT, as well ascloud providers,to ensure that our AI scientists and ML teamsget the best from all available infrastructure. This is a technical leadership role that requires deep technical expertise and relationship building. You will be a senior member of the AI Enablement leadership team, contributing to the team's overall direction alongside the Senior Staff Data Engineer and Senior Staff MLOps Engineer. This is a unique opportunity to be part of a critical strategic initiative for a pharmaceutical company that invests heavily in research and development to discover and develop innovative therapies that can improve and extend lives in areas of high unmet medical need. Key Responsibilities Own, define and evolve a wholistic, multi-layer reference architecture spanning storage, compute, environments and platform stack, making appropriate use of vendor/integrator design patterns. Set the technical direction, strategy and roadmap for AI infrastructure, aligned to the various AI Enablement roadmaps and to portfolio/research priorities. Partner with Data Excellence to further development BI's Trusted Research Environment (TRE), ensuring the TRE supports secure, compliant AI workloads on sensitive data and evolves to meet the AI Accelerator's needs. In partnership with IT, shape the evolution of existing enterprise infrastructure to support large-scale AI and ensure best-value services while designing for portability. Establish ways of working, onboard and mentor other team members, and act as a senior escalation point for complex AI Infrastructure problems. Requirements PhDor MSc with equivalent experienceinaSTEM subject. Extensive experience as a senior staff-level infrastructure, platform or systems engineer for compute-intensive workloads, including setting architecture, standards and technical direction for a team or function. Deep expertise across the AI compute infrastructure stack: high-performance and GPU compute, storage and file systems, networking, container platforms and orchestration (e.g. Kubernetes), environment provisioning and infrastructure-as-code (e.g. Terraform). Significant experience with hybrid on-prem/cloud architectures, including right-sizing, cost optimisation and designing for portability to avoid lock-in. Expertise in providing infrastructure that enables large-scale AI workloads, including distributed training at scale. Understanding of security, access control, resilience/continuity and systems-operation rigour (ITIL or equivalent service management). Strong collaboration and influencing skills across technical and non-technical stakeholders; ability to explain complex technical concepts clearly and to mediate competing requirements. Experience mentoring or technically leading engineers and setting engineering principles. This is a hybrid role with approximately 4 days a week in the office. WHY THIS IS A GREAT PLACE TO WORK Boehringer Ingelheim has been recognised as aTop Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies. To learn more about why BI is a great place to work, visit:
Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businesses-from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that's just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Sep 23, 2026
Full time
Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businesses-from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that's just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure-they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. Description About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure-they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. As a Technical Programme Manager (Data & Intelligence Engineering) based in the UK, you will serve as the senior delivery authority accountable for the end-to-end execution of multi-million-pound data transformation initiatives across the Banking, Financial Services, and Insurance (BFSI) sectors. The Operating Model You will operate within GlobalLogic's high-impact leadership model, working in a strategic triad alongside a Client Partner/Sales Lead (commercial growth) and supported by Offshore Delivery Directors (operational execution). You are the primary delivery anchor ensuring technical integrity, operational scale, and commercial profitability. You will serve as the trusted, technical "face of delivery" to C-suite client executives (CDOs, CIOs, CTOs). You will bridge the gap between complex enterprise data strategies-spanning Cloud Migrations, Data Mesh architectures, Real-Time Analytics, and Generative AI/MLOps pipelines-and precise execution across globally distributed engineering pods of 100+ people. The Impact By pairing technical depth with executive gravitas, you will de-risk platform modernisation, ensure strict financial and regulatory governance (e.g., BCBS 239, DORA), drive referenceable client outcomes, and unlock measurable business value through intelligence engineering. Requirements What You Bring to the Role Industry Leadership: 15+ years of experience in Digital Engineering or IT Consulting with strong Banking, Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data engineering. Programme & Delivery Leadership Large-Scale Delivery Track Record: 15+ years in Digital/Data Engineering or IT Consulting, with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centers. Agile Data Operations: Mastery of SDLC, DataOps, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks. Commercial & Risk Rigour: Strong financial governance (P&L management, margin optimization, commercial risk mitigation) for complex client engagements. Strategic Influence & Communication Executive Advisory: High executive presence to bridge the gap between business strategy and technical execution, serving as a trusted advisor to client C-suite stakeholders (CDO, CIO, CTO). Value & Impact Orchestration: Ability to translate complex data engineering initiatives into measurable business outcomes, ROI, and core performance metrics. Academic Background: Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field preferred. Job responsibilities Delivery & Technical Oversight End-to-End Data Programme Delivery: Drive the full lifecycle of complex data initiatives (Data Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic's Delivery Framework and client governance. Architecture & Technical Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals for complex data migration, platform modernization, and AI integration initiatives that are commercially sound and technically viable. Data Quality & MLOps Governance: Establish rigorous standards for data quality, data lineage, automated testing, and MLOps/DataOps practices to guarantee model reliability and pipeline performance. Programme Governance & Financial Rigour P&L & Commercial Accountability: Take full financial responsibility for large-scale data programmes (£10M+ annual revenue), optimizing team structures and scope execution to protect and grow delivery margins. Risk & Technical Debt Management: Proactively identify systemic risks-such as data security vulnerabilities, pipeline performance bottlenecks, regulatory non-compliance, and technical debt-mitigating them through clear, metric-driven communication. Regulatory Compliance & Data Ethics: Ensure all delivery frameworks adhere strictly to global data privacy laws (GDPR, CCPA) and financial sector regulatory standards (BCBS 239, DORA, Basel frameworks). Global Leadership & Stakeholder Management Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Data Engineers, Data Scientists, MLOps Engineers, Architects) of 100+ people across global delivery centers, tailoring operating models for maximum throughput. C-Suite Advisory & Business Growth: Serve as the primary delivery escalation point for client C-suite stakeholders (CDO, CIO, CTO). Translate complex data capabilities into tangible business outcomes while identifying high-value expansion opportunities. Engineering Culture & Mentorship: Build a high-performance culture around data engineering best practices, mentoring Project Managers and Technical Leads across the organization. What we offer Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact . About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Sep 22, 2026
Full time
About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure-they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. Description About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure-they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. As a Technical Programme Manager (Data & Intelligence Engineering) based in the UK, you will serve as the senior delivery authority accountable for the end-to-end execution of multi-million-pound data transformation initiatives across the Banking, Financial Services, and Insurance (BFSI) sectors. The Operating Model You will operate within GlobalLogic's high-impact leadership model, working in a strategic triad alongside a Client Partner/Sales Lead (commercial growth) and supported by Offshore Delivery Directors (operational execution). You are the primary delivery anchor ensuring technical integrity, operational scale, and commercial profitability. You will serve as the trusted, technical "face of delivery" to C-suite client executives (CDOs, CIOs, CTOs). You will bridge the gap between complex enterprise data strategies-spanning Cloud Migrations, Data Mesh architectures, Real-Time Analytics, and Generative AI/MLOps pipelines-and precise execution across globally distributed engineering pods of 100+ people. The Impact By pairing technical depth with executive gravitas, you will de-risk platform modernisation, ensure strict financial and regulatory governance (e.g., BCBS 239, DORA), drive referenceable client outcomes, and unlock measurable business value through intelligence engineering. Requirements What You Bring to the Role Industry Leadership: 15+ years of experience in Digital Engineering or IT Consulting with strong Banking, Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data engineering. Programme & Delivery Leadership Large-Scale Delivery Track Record: 15+ years in Digital/Data Engineering or IT Consulting, with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centers. Agile Data Operations: Mastery of SDLC, DataOps, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks. Commercial & Risk Rigour: Strong financial governance (P&L management, margin optimization, commercial risk mitigation) for complex client engagements. Strategic Influence & Communication Executive Advisory: High executive presence to bridge the gap between business strategy and technical execution, serving as a trusted advisor to client C-suite stakeholders (CDO, CIO, CTO). Value & Impact Orchestration: Ability to translate complex data engineering initiatives into measurable business outcomes, ROI, and core performance metrics. Academic Background: Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field preferred. Job responsibilities Delivery & Technical Oversight End-to-End Data Programme Delivery: Drive the full lifecycle of complex data initiatives (Data Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic's Delivery Framework and client governance. Architecture & Technical Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals for complex data migration, platform modernization, and AI integration initiatives that are commercially sound and technically viable. Data Quality & MLOps Governance: Establish rigorous standards for data quality, data lineage, automated testing, and MLOps/DataOps practices to guarantee model reliability and pipeline performance. Programme Governance & Financial Rigour P&L & Commercial Accountability: Take full financial responsibility for large-scale data programmes (£10M+ annual revenue), optimizing team structures and scope execution to protect and grow delivery margins. Risk & Technical Debt Management: Proactively identify systemic risks-such as data security vulnerabilities, pipeline performance bottlenecks, regulatory non-compliance, and technical debt-mitigating them through clear, metric-driven communication. Regulatory Compliance & Data Ethics: Ensure all delivery frameworks adhere strictly to global data privacy laws (GDPR, CCPA) and financial sector regulatory standards (BCBS 239, DORA, Basel frameworks). Global Leadership & Stakeholder Management Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Data Engineers, Data Scientists, MLOps Engineers, Architects) of 100+ people across global delivery centers, tailoring operating models for maximum throughput. C-Suite Advisory & Business Growth: Serve as the primary delivery escalation point for client C-suite stakeholders (CDO, CIO, CTO). Translate complex data capabilities into tangible business outcomes while identifying high-value expansion opportunities. Engineering Culture & Mentorship: Build a high-performance culture around data engineering best practices, mentoring Project Managers and Technical Leads across the organization. What we offer Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact . About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
We are supporting a fast-scaling semiconductor company developing next-generation networking and security technology. They are looking to hire an experienced Distributed Network Engineer/Architect to join their fast growing team in London. This is a hands-on staff engineer position with ownership of distributed networking architecture and design decisions that span multiple teams, acting as the fulcrum across their networking, security and distributed system teams. You will be taking technical (Design/Architecture/Implementation) ownership over large-scale network and control plane systems that operate at global scale across cloud and networking domains, defining and driving the technical strategy for routing, switching, and networking control planes at enterprise and ISP scale. Key skills/experience required: Extensive hands-on experience in distributed systems, cloud infrastructure, or telecom networking, with a track record of staff-level or equivalent impact Deep expertise in routing protocols TCP/IP, QoS, DHCP, and data center / cloud networking architectures Strong backend engineering skills in Rust/Go with production-grade distributed systems experience Proven ability to design systems processing PB-scale data with multi-tenant isolation and high availability Proficiency with Kubernetes, Docker and at least one major cloud platform (OCI, AWS, or equivalent) Deep understanding of low-level systems: packet processing, hardware interaction and control plane & data plane optimization Excellent written and verbal communication - ability to author RFCs, present to leadership, and align distributed teams around a technical direction You must be resident in the UK and be eligible for SC clearance.
Sep 22, 2026
Full time
We are supporting a fast-scaling semiconductor company developing next-generation networking and security technology. They are looking to hire an experienced Distributed Network Engineer/Architect to join their fast growing team in London. This is a hands-on staff engineer position with ownership of distributed networking architecture and design decisions that span multiple teams, acting as the fulcrum across their networking, security and distributed system teams. You will be taking technical (Design/Architecture/Implementation) ownership over large-scale network and control plane systems that operate at global scale across cloud and networking domains, defining and driving the technical strategy for routing, switching, and networking control planes at enterprise and ISP scale. Key skills/experience required: Extensive hands-on experience in distributed systems, cloud infrastructure, or telecom networking, with a track record of staff-level or equivalent impact Deep expertise in routing protocols TCP/IP, QoS, DHCP, and data center / cloud networking architectures Strong backend engineering skills in Rust/Go with production-grade distributed systems experience Proven ability to design systems processing PB-scale data with multi-tenant isolation and high availability Proficiency with Kubernetes, Docker and at least one major cloud platform (OCI, AWS, or equivalent) Deep understanding of low-level systems: packet processing, hardware interaction and control plane & data plane optimization Excellent written and verbal communication - ability to author RFCs, present to leadership, and align distributed teams around a technical direction You must be resident in the UK and be eligible for SC clearance.
About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud supports strategic business outcomes including cost management, rapid innovation, and environmental responsibility. About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud supports strategic business outcomes including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. About The Role We are looking for a Director of Customer Experience and Engagement to build and lead the organization responsible for helping Nscale customers realize meaningful value from our platform. You will own the strategy, operating model, and execution of our customer experience function. This role will be pivotal in working with our customers across the AI lifecycle-from initial requirements gathering to contractual acceptance, onboarding and workload migration through production adoption, optimization, and expansion. This role sits at the intersection of customers, engineering, product, sales, and infrastructure. You will be accountable for ensuring customers can successfully build and operate AI workloads on Nscale while receiving clear, proactive, and technically credible guidance throughout the relationship. The right leader will combine strong customer judgment with technical depth and operational rigor. You should be comfortable getting into the technical details enough so that you understand where customers are blocked, influencing product priorities, and advising executives on retention, risk, adoption, and account health. This is a highly visible leadership role with the opportunity to define what world class customer experience looks like for the fastest growing Neocloud platform in the world. What You'll Do Define and Develop Nscale's initial customer engagement strategy from requirements to PoC execution and signoff Define and own Nscale's customer experience strategy across onboarding, implementation, adoption, technical success, support coordination, retention, and expansion. Collaborate with a world class set of Solution Engineers across the segments to determine best path for each customer and increase deal velocity and efficiency Establish account-health frameworks that combine product usage, platform reliability, workload performance, customer sentiment, support activity, and commercial risk. Proactively identify at-risk enterprise accounts based on utilization patterns, support tickets, or competitive pressures and orchestrate recovery strategies Create clear escalation and incident-management processes that provide customers with fast response times, strong ownership, seamless internal coordination, and proactive communication. Define and track the metrics that matter, including time to value, activation, platform adoption, workload growth, retention, expansion, customer health, resolution time, and customer satisfaction. Turn customer conversations and usage patterns into actionable insights for sales, product and engineering. Scale the function thoughtfully, balancing high-touch customer engagement with automation, self service resources, and repeatable programs. What You'll Need 10+ years of experience across customer experience, customer success, solution consulting, solutions architecture, professional services, or a related customer facing function. Growth stage, enterprise SaaS, developer platform, cloud infrastructure, or AI infrastructure environment preferred, but not required A proven track record of building or scaling customer experience organizations supporting technically complex products. Strong technical fluency and the ability to engage credibly with engineering leaders, ML engineers, AI researchers, infrastructure teams, and enterprise platform organizations. A record of improving customer adoption, retention, account health, and operational execution through clear systems and measurable goals. Strong judgment during high pressure customer escalations, including the ability to create clarity, align internal teams, and communicate directly with senior stakeholders. Excellent written and verbal communication skills. You can move comfortably between a technical incident review, an executive customer conversation, an internal product discussion, and a team operating review. Strong cross functional influence, particularly with Product, Engineering, Infrastructure, Sales, and Finance. A high bias for action and comfort operating in an ambiguous, fast moving environment with limited process and significant ownership. The ability to think strategically while remaining close to customers, team execution, and operational details. Bonus Points Familiarity with Ray, distributed training, model serving, inference, Kubernetes, Slurm, GPU clusters, or modern AI workloads. Experience supporting both product led and enterprise sales motions. Experience building global or follow the sun customer coverage models. Experience developing AI powered customer operations, automation, self service tooling, or customer intelligence systems. The range below reflects the base salary for the position. Actual compensation may vary based on job related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range: $170,000 USD - $256,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Sep 21, 2026
Full time
About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud supports strategic business outcomes including cost management, rapid innovation, and environmental responsibility. About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud supports strategic business outcomes including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. About The Role We are looking for a Director of Customer Experience and Engagement to build and lead the organization responsible for helping Nscale customers realize meaningful value from our platform. You will own the strategy, operating model, and execution of our customer experience function. This role will be pivotal in working with our customers across the AI lifecycle-from initial requirements gathering to contractual acceptance, onboarding and workload migration through production adoption, optimization, and expansion. This role sits at the intersection of customers, engineering, product, sales, and infrastructure. You will be accountable for ensuring customers can successfully build and operate AI workloads on Nscale while receiving clear, proactive, and technically credible guidance throughout the relationship. The right leader will combine strong customer judgment with technical depth and operational rigor. You should be comfortable getting into the technical details enough so that you understand where customers are blocked, influencing product priorities, and advising executives on retention, risk, adoption, and account health. This is a highly visible leadership role with the opportunity to define what world class customer experience looks like for the fastest growing Neocloud platform in the world. What You'll Do Define and Develop Nscale's initial customer engagement strategy from requirements to PoC execution and signoff Define and own Nscale's customer experience strategy across onboarding, implementation, adoption, technical success, support coordination, retention, and expansion. Collaborate with a world class set of Solution Engineers across the segments to determine best path for each customer and increase deal velocity and efficiency Establish account-health frameworks that combine product usage, platform reliability, workload performance, customer sentiment, support activity, and commercial risk. Proactively identify at-risk enterprise accounts based on utilization patterns, support tickets, or competitive pressures and orchestrate recovery strategies Create clear escalation and incident-management processes that provide customers with fast response times, strong ownership, seamless internal coordination, and proactive communication. Define and track the metrics that matter, including time to value, activation, platform adoption, workload growth, retention, expansion, customer health, resolution time, and customer satisfaction. Turn customer conversations and usage patterns into actionable insights for sales, product and engineering. Scale the function thoughtfully, balancing high-touch customer engagement with automation, self service resources, and repeatable programs. What You'll Need 10+ years of experience across customer experience, customer success, solution consulting, solutions architecture, professional services, or a related customer facing function. Growth stage, enterprise SaaS, developer platform, cloud infrastructure, or AI infrastructure environment preferred, but not required A proven track record of building or scaling customer experience organizations supporting technically complex products. Strong technical fluency and the ability to engage credibly with engineering leaders, ML engineers, AI researchers, infrastructure teams, and enterprise platform organizations. A record of improving customer adoption, retention, account health, and operational execution through clear systems and measurable goals. Strong judgment during high pressure customer escalations, including the ability to create clarity, align internal teams, and communicate directly with senior stakeholders. Excellent written and verbal communication skills. You can move comfortably between a technical incident review, an executive customer conversation, an internal product discussion, and a team operating review. Strong cross functional influence, particularly with Product, Engineering, Infrastructure, Sales, and Finance. A high bias for action and comfort operating in an ambiguous, fast moving environment with limited process and significant ownership. The ability to think strategically while remaining close to customers, team execution, and operational details. Bonus Points Familiarity with Ray, distributed training, model serving, inference, Kubernetes, Slurm, GPU clusters, or modern AI workloads. Experience supporting both product led and enterprise sales motions. Experience building global or follow the sun customer coverage models. Experience developing AI powered customer operations, automation, self service tooling, or customer intelligence systems. The range below reflects the base salary for the position. Actual compensation may vary based on job related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range: $170,000 USD - $256,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do CoreWeave's Inference team builds and operates the core cloud platform powering massive-scale GPU workloads for AI/ML, VFX, rendering, and real time inference. Our stack is engineered for speed, scale, and cost efficiency-providing a powerful alternative to traditional hyperscalers where infrastructure is our core product operated at massive scale. About The Role As a Staff Software Engineer on the Inference team, you will operate as a technical leader across multiple teams and services, driving architecture, performance, and reliability for CoreWeave's Kubernetes-native inference platform. You will define and lead complex, cross cutting design initiatives spanning request routing, adaptive scheduling, GPU resource management, and cost-per-token optimisation under strict P99 SLAs. In this high impact role, you will implement advanced inference optimisations-such as speculative decoding and KV cache reuse-while establishing performance benchmarking frameworks, guiding cross functional alignment across infrastructure boundaries, and raising the bar for engineering rigour and observability practices across the organisation. Who You Are Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 8+ years of experience building large scale distributed systems or cloud platforms, with a proven track record of leading cross team or organisation level technical initiatives at scale. Strong coding proficiency in Go, Python, or C++. Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design. Strong understanding of networked systems, performance optimisation, and distributed system design. Hands on engineering experience with inference systems, including batching/micro batching strategies, caching, memory optimisation, mixed precision (BF16/FP8), and streaming token delivery. Demonstrated ability to systematically improve tail latency (P95/P99) and platform reliability through metrics driven engineering. Proven experience owning system wide SLIs/SLOs, capacity planning, autoscaling strategies, and mentoring senior and mid level engineers. Preferred Direct open source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT LLM, Ray Serve, or TorchServe). Deep experience with GPU systems engineering and hardware performance optimisation (e.g., CUDA, NCCL, RDMA, NUMA, or GPU interconnects). Direct exposure to large scale AI/ML infrastructure or hyperscale cloud environments. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams-even if you aren't a 100% skill or experience match. You love to: Scale highly complex distributed architectures and mentor engineering cohorts to elevate technical standards across an organisation. You're curious about: Pioneering low latency inference optimisations and finding innovative shortcuts to optimise cost-per-token performance. You're an expert in: Metrics driven engineering, troubleshooting micro bottlenecks, and delivering stable cloud platforms under strict multi tenant constraints. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for take off, the organisation's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! About Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption At CoreWeave, base pay is only one part of our total compensation package. Total compensation includes base salary, equity, flexible vacation policy
Sep 21, 2026
Full time
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do CoreWeave's Inference team builds and operates the core cloud platform powering massive-scale GPU workloads for AI/ML, VFX, rendering, and real time inference. Our stack is engineered for speed, scale, and cost efficiency-providing a powerful alternative to traditional hyperscalers where infrastructure is our core product operated at massive scale. About The Role As a Staff Software Engineer on the Inference team, you will operate as a technical leader across multiple teams and services, driving architecture, performance, and reliability for CoreWeave's Kubernetes-native inference platform. You will define and lead complex, cross cutting design initiatives spanning request routing, adaptive scheduling, GPU resource management, and cost-per-token optimisation under strict P99 SLAs. In this high impact role, you will implement advanced inference optimisations-such as speculative decoding and KV cache reuse-while establishing performance benchmarking frameworks, guiding cross functional alignment across infrastructure boundaries, and raising the bar for engineering rigour and observability practices across the organisation. Who You Are Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 8+ years of experience building large scale distributed systems or cloud platforms, with a proven track record of leading cross team or organisation level technical initiatives at scale. Strong coding proficiency in Go, Python, or C++. Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design. Strong understanding of networked systems, performance optimisation, and distributed system design. Hands on engineering experience with inference systems, including batching/micro batching strategies, caching, memory optimisation, mixed precision (BF16/FP8), and streaming token delivery. Demonstrated ability to systematically improve tail latency (P95/P99) and platform reliability through metrics driven engineering. Proven experience owning system wide SLIs/SLOs, capacity planning, autoscaling strategies, and mentoring senior and mid level engineers. Preferred Direct open source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT LLM, Ray Serve, or TorchServe). Deep experience with GPU systems engineering and hardware performance optimisation (e.g., CUDA, NCCL, RDMA, NUMA, or GPU interconnects). Direct exposure to large scale AI/ML infrastructure or hyperscale cloud environments. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams-even if you aren't a 100% skill or experience match. You love to: Scale highly complex distributed architectures and mentor engineering cohorts to elevate technical standards across an organisation. You're curious about: Pioneering low latency inference optimisations and finding innovative shortcuts to optimise cost-per-token performance. You're an expert in: Metrics driven engineering, troubleshooting micro bottlenecks, and delivering stable cloud platforms under strict multi tenant constraints. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for take off, the organisation's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! About Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption At CoreWeave, base pay is only one part of our total compensation package. Total compensation includes base salary, equity, flexible vacation policy
nineDots.io is seeking a Principal Engineer to help define how the world decides what software can be trusted. You will tackle software supply chain trust, building systems to verify provenance, security, and governance across pipelines and artifacts. This role sits at the intersection of distributed systems, platform engineering, security, and data infrastructure. You will influence technical strategy, shape foundational architecture, and tackle challenging problems without an accepted
Sep 20, 2026
Full time
nineDots.io is seeking a Principal Engineer to help define how the world decides what software can be trusted. You will tackle software supply chain trust, building systems to verify provenance, security, and governance across pipelines and artifacts. This role sits at the intersection of distributed systems, platform engineering, security, and data infrastructure. You will influence technical strategy, shape foundational architecture, and tackle challenging problems without an accepted
