With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Data and AI Sales - Financial Services - Vice President - English (INS031057) Data and AI Sales - Financial Services - Vice President - English - INS031057 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Data and AI Sales - Financial Services - Vice President - English The Data AI Sales Lead will be a member of a dynamic team driving growth of Genpact's Data and AI led solutions in a prioritized portfolio of accounts. Creating, shaping, and responding to the ever increasing new challenges being faced within one of the specific industry verticals such as BCM/Insurance in support of Genpact's Sales and Transformation Services community. The Data and AI growth strategy is aligned to Genpact's vision of being a distinguished partner as Clients adopt AI at scale to transform and accelerate growth. This role will identify, shape and close revenue generating opportunities in new and existing accounts on a foundation of carefully selected & curated, repeatable offerings and solutions for driving change in specific vertical industries. The role will combine leading edge Data and AI solutions focused on (and not limited to) Databricks, Snowflake and Data Cloud on Cloud providers, and with your deep domain expertise to create innovation and thought leadership opportunities. A sales professional who has successfully created positive impact through year on year business expansion and has capability to originate new deals, qualify, shape solutions, sell, negotiate and close by sales process and technical expertise. You develop relationships with key buyers and decision makers at new and existing clients by bringing the best of Genpact's domain and technology capabilities to offer a value centric proposition to clients. Responsibilities Act as a trusted advisor in establishing relationships (in partnership with Genpact Sales and SMEs / Solution Architects), and assisting clients think through challenging business opportunities. Demonstrate an understanding of a client's business and use of leading Data Platform (specifically focused on GCP, Databricks, Snowflake), AI, LLM technologies to craft transformational value propositions for the clients. Proactively create, identify, and develop opportunities for GenAI/AI solutions. Provide domain and digital solution expertise and support to internal teams including participation in RFI, RFP, proactive bids, customer facing envisioning sessions/demonstrations, assessments, and workshops. Collaborate with other cross functionals Genpact's team to assess and scope new opportunities (Analytics, Tech, Experience, Digital delivery etc.). Own revenue and bookings targets for dedicated Data AI industry segment and maintain up to date revenue forecasts. Build trusted relationship with leading Data Partners and their sales leadership to bring innovative solutions on new capabilities to clients. Expand Genpact's positioning in the market by helping develop new offerings and thought leadership marketing. Own delivery estimations, solutioning and pricing for proposed client solutions and working closely with Genpact and client is legal in the creation and review of customer commercial agreements, License, SOW, Change requests etc. Qualifications we seek in you! Minimum Qualifications/Skills Leaders with deep Data and AI product knowledge in one or more Data platforms, proven knowledge and experience in solutioning and selling data and AI transformation solutions, data migration and data management services. Experience and comfort carrying a sale, booking, and margin target. Leaders who are passionate about the opportunity to tackle a role that will have a multiplier effect in creating a highly differentiated and scalable transformation services business for Genpact. Experience in either a FS/Data/AI company or similar consulting firm and are looking for a role with the potential to catalyze the growth of a rapidly growing business. The ability to clearly articulate the value and benefits of Genpact's digital & transformation solutions in a compelling way to both a business and technical audience. Relevant Industry and Sales experience in one or more of the following: FS,BCM,Insurance. Deep expertise in developing Data and AI solution as part of a multi-Tech, multi-Cloud and SaaS/on-prem package solution stack. Executive presence and prior engagement building relationship with clients at C Suite, EVP, VP and Technical buyers. Travel and Driving may be required for this role. The amount of travel and driving will vary from 25 to 100% depending on business need and client requirements. Preferred Qualifications/ Skills Deep expertise in one or more specific industry verticals such as FS. Experience in driving front, middle, back office transformation in FS firms will be a BIG plus. Experienced in applying groundbreaking AI/GenAI technologies to solving business problems, coordinated across digital software & SaaS products and transformation service solutions. Relevant vertical/proven experience with understanding of business dynamics - especially those based on a foundation of digitalization and GenAI disruption. Good cultural fit - role model in CI2 i.e., curious, incisive, and courageous, on a bedrock of integrity. Good "roll up the sleeves" collaboration attitude to work across Genpact, client teams and Genpact's SaaS partners to bring the greatest possible impact through new ways of working. Technical understanding of full stack AI architecture, integrations, and domain expertise. Strong Services business acumen: Commercial understanding with the ability to solution, estimate, and negotiate commercial constructs while driving the sales cycle with clients in collaboration with Genpact Sales and Transformation Services community. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career- Gain hands on experience, world class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Apr 07, 2026
Full time
With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Data and AI Sales - Financial Services - Vice President - English (INS031057) Data and AI Sales - Financial Services - Vice President - English - INS031057 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Data and AI Sales - Financial Services - Vice President - English The Data AI Sales Lead will be a member of a dynamic team driving growth of Genpact's Data and AI led solutions in a prioritized portfolio of accounts. Creating, shaping, and responding to the ever increasing new challenges being faced within one of the specific industry verticals such as BCM/Insurance in support of Genpact's Sales and Transformation Services community. The Data and AI growth strategy is aligned to Genpact's vision of being a distinguished partner as Clients adopt AI at scale to transform and accelerate growth. This role will identify, shape and close revenue generating opportunities in new and existing accounts on a foundation of carefully selected & curated, repeatable offerings and solutions for driving change in specific vertical industries. The role will combine leading edge Data and AI solutions focused on (and not limited to) Databricks, Snowflake and Data Cloud on Cloud providers, and with your deep domain expertise to create innovation and thought leadership opportunities. A sales professional who has successfully created positive impact through year on year business expansion and has capability to originate new deals, qualify, shape solutions, sell, negotiate and close by sales process and technical expertise. You develop relationships with key buyers and decision makers at new and existing clients by bringing the best of Genpact's domain and technology capabilities to offer a value centric proposition to clients. Responsibilities Act as a trusted advisor in establishing relationships (in partnership with Genpact Sales and SMEs / Solution Architects), and assisting clients think through challenging business opportunities. Demonstrate an understanding of a client's business and use of leading Data Platform (specifically focused on GCP, Databricks, Snowflake), AI, LLM technologies to craft transformational value propositions for the clients. Proactively create, identify, and develop opportunities for GenAI/AI solutions. Provide domain and digital solution expertise and support to internal teams including participation in RFI, RFP, proactive bids, customer facing envisioning sessions/demonstrations, assessments, and workshops. Collaborate with other cross functionals Genpact's team to assess and scope new opportunities (Analytics, Tech, Experience, Digital delivery etc.). Own revenue and bookings targets for dedicated Data AI industry segment and maintain up to date revenue forecasts. Build trusted relationship with leading Data Partners and their sales leadership to bring innovative solutions on new capabilities to clients. Expand Genpact's positioning in the market by helping develop new offerings and thought leadership marketing. Own delivery estimations, solutioning and pricing for proposed client solutions and working closely with Genpact and client is legal in the creation and review of customer commercial agreements, License, SOW, Change requests etc. Qualifications we seek in you! Minimum Qualifications/Skills Leaders with deep Data and AI product knowledge in one or more Data platforms, proven knowledge and experience in solutioning and selling data and AI transformation solutions, data migration and data management services. Experience and comfort carrying a sale, booking, and margin target. Leaders who are passionate about the opportunity to tackle a role that will have a multiplier effect in creating a highly differentiated and scalable transformation services business for Genpact. Experience in either a FS/Data/AI company or similar consulting firm and are looking for a role with the potential to catalyze the growth of a rapidly growing business. The ability to clearly articulate the value and benefits of Genpact's digital & transformation solutions in a compelling way to both a business and technical audience. Relevant Industry and Sales experience in one or more of the following: FS,BCM,Insurance. Deep expertise in developing Data and AI solution as part of a multi-Tech, multi-Cloud and SaaS/on-prem package solution stack. Executive presence and prior engagement building relationship with clients at C Suite, EVP, VP and Technical buyers. Travel and Driving may be required for this role. The amount of travel and driving will vary from 25 to 100% depending on business need and client requirements. Preferred Qualifications/ Skills Deep expertise in one or more specific industry verticals such as FS. Experience in driving front, middle, back office transformation in FS firms will be a BIG plus. Experienced in applying groundbreaking AI/GenAI technologies to solving business problems, coordinated across digital software & SaaS products and transformation service solutions. Relevant vertical/proven experience with understanding of business dynamics - especially those based on a foundation of digitalization and GenAI disruption. Good cultural fit - role model in CI2 i.e., curious, incisive, and courageous, on a bedrock of integrity. Good "roll up the sleeves" collaboration attitude to work across Genpact, client teams and Genpact's SaaS partners to bring the greatest possible impact through new ways of working. Technical understanding of full stack AI architecture, integrations, and domain expertise. Strong Services business acumen: Commercial understanding with the ability to solution, estimate, and negotiate commercial constructs while driving the sales cycle with clients in collaboration with Genpact Sales and Transformation Services community. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career- Gain hands on experience, world class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Apr 07, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Job Description As a Full Stack Commerce Engineer (Consultant), you will support the design and delivery of AI enabled commerce and experience solutions, working closely with senior architects, managers, and client stakeholders. What you will do Support Client Facing Engagements: Support client workshops and engagements by acting as a technical contributor, helping design use cases and platform solutions that apply Generative AI to real business challenges, under the guidance of senior technical leads. Build AI Powered Solutions: Contribute to the design and development of full stack solutions from prototype through to production, including agentic workflows in Python and integrations with LLMs such as OpenAI/ChatGPT, Google Gemini, Nvidia, and Writer. Work Across the Commerce Ecosystem: Support the integration of AI/ML capabilities with enterprise platforms, helping connect data and services across Commerce, PXM, CDP, DAM, CMS, and CRM systems. Develop and Maintain Data Solutions: Design and implement database components using SQL and NoSQL technologies, supporting data pipelines and stored procedures that handle large scale commerce and customer data. Contribute to Delivery & Engineering Excellence: Collaborate within agile delivery teams, contributing to solution design, development best practices, and DevSecOps processes, while learning from senior engineers and architects across the Accenture Data & AI community. Job Qualifications Experience in a client facing or forward deployed engineering role, supporting the translation of business requirements into technical solutions. Strong full stack engineering experience, with Python used for AI/ML or data driven applications. Hands on experience building and deploying applications on cloud platforms (Azure or GCP preferred), including security, networking, storage and monitoring. Practical experience integrating Generative AI services (e.g. OpenAI API, Vertex AI, Azure ML) and familiarity with core AI/ML patterns such as RAG and deployment architectures. Understanding of how AI/ML integrates with enterprise experience platforms (Commerce engines, DAM, PXM, CDP, CMS, CRM). Solid skills in SQL and NoSQL databases, including writing and maintaining stored procedures. Foundation in modern software engineering and DevSecOps practices. Set Yourself Apart Cloud certifications (e.g. Azure Solutions Architect, Google Professional Cloud Architect). Exposure to MLOps frameworks and vector databases (e.g. Pinecone, Weaviate). Experience contributing to proof of concepts or MVPs, demonstrating rapid learning and experimentation. Experience supporting production AI/ML solutions, ideally within retail or CPG environments. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Apr 06, 2026
Full time
Job Description As a Full Stack Commerce Engineer (Consultant), you will support the design and delivery of AI enabled commerce and experience solutions, working closely with senior architects, managers, and client stakeholders. What you will do Support Client Facing Engagements: Support client workshops and engagements by acting as a technical contributor, helping design use cases and platform solutions that apply Generative AI to real business challenges, under the guidance of senior technical leads. Build AI Powered Solutions: Contribute to the design and development of full stack solutions from prototype through to production, including agentic workflows in Python and integrations with LLMs such as OpenAI/ChatGPT, Google Gemini, Nvidia, and Writer. Work Across the Commerce Ecosystem: Support the integration of AI/ML capabilities with enterprise platforms, helping connect data and services across Commerce, PXM, CDP, DAM, CMS, and CRM systems. Develop and Maintain Data Solutions: Design and implement database components using SQL and NoSQL technologies, supporting data pipelines and stored procedures that handle large scale commerce and customer data. Contribute to Delivery & Engineering Excellence: Collaborate within agile delivery teams, contributing to solution design, development best practices, and DevSecOps processes, while learning from senior engineers and architects across the Accenture Data & AI community. Job Qualifications Experience in a client facing or forward deployed engineering role, supporting the translation of business requirements into technical solutions. Strong full stack engineering experience, with Python used for AI/ML or data driven applications. Hands on experience building and deploying applications on cloud platforms (Azure or GCP preferred), including security, networking, storage and monitoring. Practical experience integrating Generative AI services (e.g. OpenAI API, Vertex AI, Azure ML) and familiarity with core AI/ML patterns such as RAG and deployment architectures. Understanding of how AI/ML integrates with enterprise experience platforms (Commerce engines, DAM, PXM, CDP, CMS, CRM). Solid skills in SQL and NoSQL databases, including writing and maintaining stored procedures. Foundation in modern software engineering and DevSecOps practices. Set Yourself Apart Cloud certifications (e.g. Azure Solutions Architect, Google Professional Cloud Architect). Exposure to MLOps frameworks and vector databases (e.g. Pinecone, Weaviate). Experience contributing to proof of concepts or MVPs, demonstrating rapid learning and experimentation. Experience supporting production AI/ML solutions, ideally within retail or CPG environments. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Vice President, Engineering, CoinDesk Lead Software Engineer, CoinDesk Data Engineering At CoinDesk, we do more than report on the future of money; we actively help shape it. As the global leader in crypto news, indices, and events, we provide the transparency and context the world needs to understand the digital asset revolution. Our team is dedicated to a shared mission of informing, educating, and connecting the global community. Our impact is further amplified by our position within the Bullish Group. Operating as a subsidiary of Bullish, a regulated, institutional-grade exchange known for its technological prowess, CoinDesk is powered by a partner that shares our fundamental belief in the transformative power of digital assets. We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: CoinDesk Data Engineering The CoinDesk Data Engineering Team builds the infrastructure that powers global crypto market data. Our mission is to architect resilient systems that process tens of billions of monthly requests, managing the full lifecycle of data from global exchange ingestion to delivery via high-throughput APIs and streaming services. We own the mission-critical calculation engines for flagship indices backing major ETFs, bridging the gap between innovation and institutional-grade stability. As a core part of the global leader in crypto news and indices, our work provides the transparency and context necessary to help shape the future of money. What You'll Do Strategic Initiative Ownership: Lead the planning and execution of high-impact projects, ensuring technical or team roadmaps align with broader company objectives. Operational & Technical Governance: Drive the evolution of engineering architectures and operational standards, proactively identifying and closing gaps in system reliability and development efficiency. End-to-End Delivery Excellence: Own the successful delivery of complex, mission-critical systems by managing cross-functional dependencies, technical risks, and stakeholder expectations. Consensus & Decision Making: Mediate high-level technical discussions to reach a consensus, ensuring that architectural decisions balance immediate tactical needs with long-term scalability. Process & Quality Leadership: Define and oversee industry-leading QA practices and CI/CD frameworks, ensuring excellence is embedded in the software development lifecycle. What You'll Bring Lead-Level Experience: 6+ years in backend development, with a proven track record in a Senior, Lead, or equivalent role where you have moved beyond individual tasks to drive the technical roadmap and operational excellence of critical sub-systems or service portfolios. Technical Authority: Deep expertise in Golang, with a proven ability to architect high-performance, high-throughput distributed systems and concurrent services. High-Level Mentorship & Influence: Proven ability to foster growth in others-whether through direct management or technical coaching-and act as a go-to resource for innovative solutions. Data-Intensive Application Expertise: Strong practical experience with modern databases (e.g., Redis, PostgreSQL), including schema design, query optimization, and performance tuning for high-throughput workloads. Full Lifecycle Ownership: A strong "DevSecOps" mindset with expertise in building and maintaining CI/CD pipelines, infrastructure-as-code, and robust observability (monitoring, logging, tracing) for production systems. Quality as a Feature: A deep commitment to quality, demonstrated by implementing comprehensive testing strategies (unit, integration, end-to-end, performance) that ensure system reliability. Influence and Collaboration: Exceptional communication skills with the proven ability to influence technical and non-technical stakeholders, articulate complex architectural decisions, and build consensus across multiple teams. Nice to Haves Cloud Architecture: Experience designing and deploying services on a major cloud provider (Azure, GCP). Blockchain Expertise: A strong understanding of blockchain technology, cryptocurrencies, and decentralized ecosystems is a significant plus. Financial Market Knowledge: Interest or prior experience in traditional financial markets, trading systems, or investment platforms. Containerization & Deployment: Proficiency with containerization technologies such as Docker or Kubernetes. Observability: Hands-on experience with modern observability tooling (e.g., Prometheus, DataDog, Jaeger, OpenTelemetry). Data Governance: Experience with data privacy (GDPR/CCPA) and security compliance in a regulated financial environment. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
Apr 06, 2026
Full time
About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Vice President, Engineering, CoinDesk Lead Software Engineer, CoinDesk Data Engineering At CoinDesk, we do more than report on the future of money; we actively help shape it. As the global leader in crypto news, indices, and events, we provide the transparency and context the world needs to understand the digital asset revolution. Our team is dedicated to a shared mission of informing, educating, and connecting the global community. Our impact is further amplified by our position within the Bullish Group. Operating as a subsidiary of Bullish, a regulated, institutional-grade exchange known for its technological prowess, CoinDesk is powered by a partner that shares our fundamental belief in the transformative power of digital assets. We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: CoinDesk Data Engineering The CoinDesk Data Engineering Team builds the infrastructure that powers global crypto market data. Our mission is to architect resilient systems that process tens of billions of monthly requests, managing the full lifecycle of data from global exchange ingestion to delivery via high-throughput APIs and streaming services. We own the mission-critical calculation engines for flagship indices backing major ETFs, bridging the gap between innovation and institutional-grade stability. As a core part of the global leader in crypto news and indices, our work provides the transparency and context necessary to help shape the future of money. What You'll Do Strategic Initiative Ownership: Lead the planning and execution of high-impact projects, ensuring technical or team roadmaps align with broader company objectives. Operational & Technical Governance: Drive the evolution of engineering architectures and operational standards, proactively identifying and closing gaps in system reliability and development efficiency. End-to-End Delivery Excellence: Own the successful delivery of complex, mission-critical systems by managing cross-functional dependencies, technical risks, and stakeholder expectations. Consensus & Decision Making: Mediate high-level technical discussions to reach a consensus, ensuring that architectural decisions balance immediate tactical needs with long-term scalability. Process & Quality Leadership: Define and oversee industry-leading QA practices and CI/CD frameworks, ensuring excellence is embedded in the software development lifecycle. What You'll Bring Lead-Level Experience: 6+ years in backend development, with a proven track record in a Senior, Lead, or equivalent role where you have moved beyond individual tasks to drive the technical roadmap and operational excellence of critical sub-systems or service portfolios. Technical Authority: Deep expertise in Golang, with a proven ability to architect high-performance, high-throughput distributed systems and concurrent services. High-Level Mentorship & Influence: Proven ability to foster growth in others-whether through direct management or technical coaching-and act as a go-to resource for innovative solutions. Data-Intensive Application Expertise: Strong practical experience with modern databases (e.g., Redis, PostgreSQL), including schema design, query optimization, and performance tuning for high-throughput workloads. Full Lifecycle Ownership: A strong "DevSecOps" mindset with expertise in building and maintaining CI/CD pipelines, infrastructure-as-code, and robust observability (monitoring, logging, tracing) for production systems. Quality as a Feature: A deep commitment to quality, demonstrated by implementing comprehensive testing strategies (unit, integration, end-to-end, performance) that ensure system reliability. Influence and Collaboration: Exceptional communication skills with the proven ability to influence technical and non-technical stakeholders, articulate complex architectural decisions, and build consensus across multiple teams. Nice to Haves Cloud Architecture: Experience designing and deploying services on a major cloud provider (Azure, GCP). Blockchain Expertise: A strong understanding of blockchain technology, cryptocurrencies, and decentralized ecosystems is a significant plus. Financial Market Knowledge: Interest or prior experience in traditional financial markets, trading systems, or investment platforms. Containerization & Deployment: Proficiency with containerization technologies such as Docker or Kubernetes. Observability: Hands-on experience with modern observability tooling (e.g., Prometheus, DataDog, Jaeger, OpenTelemetry). Data Governance: Experience with data privacy (GDPR/CCPA) and security compliance in a regulated financial environment. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Apr 06, 2026
Full time
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proven working experience in fast-paced environments (e.g. digital agencies) on projects with short turnaround times - News happens quickly! Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Please note that due to the nature of this role, it incorporates a 45 hour working week. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way.
Apr 06, 2026
Full time
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proven working experience in fast-paced environments (e.g. digital agencies) on projects with short turnaround times - News happens quickly! Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Please note that due to the nature of this role, it incorporates a 45 hour working week. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way.
Principal Engineer, Data Platforms Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role We are seeking a highly accomplished and visionary Principal Engineer to join our Data Platforms leadership team. You will serve as the top technical authority, reporting directly to the Director of Engineering, and closely pairing with the Head of Engineering. This role defines the technical strategy and architecture that enables our organisation of 50+ engineers to build and operate robust, scalable, and high-performance data systems. We value your ability to lead on strategy, deliver technical excellence, and care for the continuous growth of our engineering team. Location: Hybrid - 3 days a week from our London or Amsterdam office & 2 days working from home Reporting to: Director of Engineering These are some of the key components to the position: Define the long-term technical vision and roadmap for our modern Data Platform, Mobius (including Data Warehousing, Data Lake, Streaming, and Governance tooling). Design and govern the reference architecture for core data infrastructure, ensuring optimal scalability, reliability, and security. Act as a hands-on contributor, tackling the most complex technical challenges and providing code-level guidance for critical components. Establish and enforce technical standards for code quality, observability, and Infrastructure-as-Code (IaC) across all data platform teams. Act as a technical mentor and coach for Senior and Staff Engineers, raising the technical bar across the organisation. Focus on platform engineering principles to improve the developer experience, velocity, and efficiency of all data engineering teams. Lead the evaluation, prototyping, and adoption of new data technologies, balancing industry best practices with business needs. What will you bring to the team? Extensive experience in software and data engineering, with provable experience operating at a Principal, Staff, or equivalent level. Deep proficiency across the modern data stack (Snowflake, BigQuery, Delta Lake, Iceberg, Kafka, Flink). Proven track record designing scalable, self-service data platforms using cloud-native services (AWS/GCP) and infrastructure automation (Terraform, Ansible). Expert proficiency in Python, Scala, or Go, and extensive experience with data transformation frameworks (Airflow, dbt). Exceptional ability to synthesise complex requirements into simple, elegant, and maintainable architectural designs. Strong communication skills with the ability to influence and align engineering, product, and executive stakeholders. Results-driven mindset with the ability to execute quickly, adapt to change, and thrive in high-growth, fast-paced environments. Desired Skills Experience in a rapidly scaling organisation focused on building distributed systems. Familiarity with data governance, lineage, and observability tools (e.g., Datadog, Prometheus, Open Telemetry). Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Apr 06, 2026
Full time
Principal Engineer, Data Platforms Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role We are seeking a highly accomplished and visionary Principal Engineer to join our Data Platforms leadership team. You will serve as the top technical authority, reporting directly to the Director of Engineering, and closely pairing with the Head of Engineering. This role defines the technical strategy and architecture that enables our organisation of 50+ engineers to build and operate robust, scalable, and high-performance data systems. We value your ability to lead on strategy, deliver technical excellence, and care for the continuous growth of our engineering team. Location: Hybrid - 3 days a week from our London or Amsterdam office & 2 days working from home Reporting to: Director of Engineering These are some of the key components to the position: Define the long-term technical vision and roadmap for our modern Data Platform, Mobius (including Data Warehousing, Data Lake, Streaming, and Governance tooling). Design and govern the reference architecture for core data infrastructure, ensuring optimal scalability, reliability, and security. Act as a hands-on contributor, tackling the most complex technical challenges and providing code-level guidance for critical components. Establish and enforce technical standards for code quality, observability, and Infrastructure-as-Code (IaC) across all data platform teams. Act as a technical mentor and coach for Senior and Staff Engineers, raising the technical bar across the organisation. Focus on platform engineering principles to improve the developer experience, velocity, and efficiency of all data engineering teams. Lead the evaluation, prototyping, and adoption of new data technologies, balancing industry best practices with business needs. What will you bring to the team? Extensive experience in software and data engineering, with provable experience operating at a Principal, Staff, or equivalent level. Deep proficiency across the modern data stack (Snowflake, BigQuery, Delta Lake, Iceberg, Kafka, Flink). Proven track record designing scalable, self-service data platforms using cloud-native services (AWS/GCP) and infrastructure automation (Terraform, Ansible). Expert proficiency in Python, Scala, or Go, and extensive experience with data transformation frameworks (Airflow, dbt). Exceptional ability to synthesise complex requirements into simple, elegant, and maintainable architectural designs. Strong communication skills with the ability to influence and align engineering, product, and executive stakeholders. Results-driven mindset with the ability to execute quickly, adapt to change, and thrive in high-growth, fast-paced environments. Desired Skills Experience in a rapidly scaling organisation focused on building distributed systems. Familiarity with data governance, lineage, and observability tools (e.g., Datadog, Prometheus, Open Telemetry). Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to b
Apr 06, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to b
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 05, 2026
Full time
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 05, 2026
Full time
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 05, 2026
Full time
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 05, 2026
Full time
Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: Forming trusted advisor relationships with enterprise scale clients. Acting as a SME for FinOps within Softcat. Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development Developing and driving the service forward, proactively identifying efficiency opportunities within the team. Running 1 to 1s with members of the team. Mentoring junior staff. We'd love you to have Extensive FinOps knowledge FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS - Certified Solutions Architect (desired) Extensive experience around multi cloud cost optimisation. Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). Ability to build relationships with multiple stakeholders within an enterprise customer. Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Apr 04, 2026
Full time
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Apr 03, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 03, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Apr 03, 2026
Full time
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases- to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases- to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Apr 03, 2026
Full time
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Apr 03, 2026
Full time
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
