4624 jobs found

JOB DESCRIPTION Are you ready to transform the future of banking? Join our digital bank, Chase, as a Lead Software Engineer and be part of a team that's revolutionizing mobile banking with seamless journeys that our customers love. At JPMorgan Chase, we're building the bank of the future from scratch, offering you the opportunity to make a real impact. Our Developer Experience team is dedicated to providing an exceptional developer experience, fostering a culture of innovation and collaboration. Embrace the chance to grow your career in a diverse and inclusive environment where your unique perspective is valued. As a Lead Software Engineer within the International Consumer Bank, you will collaborate with development teams to enhance the developer experience, delivering end-to-end cutting edge solutions in the form of cloud native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact on our clients and business partners worldwide. Job responsibilities: Self motivated who can drive epics individually with minimum support. Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment. Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Create secure and high quality production code to deploy infrastructure. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets for continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Add to the teams' culture, diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills: Formal training or certification in software engineering concepts and 5+ years of applied experience. Understanding distributed systems and microservice architecture. Hands on practical experience in system design, application development, testing, and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying languages. Overall knowledge of the Software Development Life Cycle. Understanding Agile methodologies, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, etc.). Experience with Public Cloud services in Production (we use AWS). Experience with Infrastructure as Code (Terraform or other). Ability to tackle design and functionality problems independently with little to no oversight. Experience in architecting, supporting, and implementing advanced, strategic CICD migrations. Preferred qualifications, capabilities, and skills: Familiarity with modern front end or back end technologies. Debugging expertise in Kubernetes. Understanding of Infrastructure Tools, preferably Terraform, and AWS services understanding. Experience with any GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus. Proficient in coding in one or more languages. Equal Employment Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate based on any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting accommodation.

United States Digital Space LLC in the United Kingdom seeks an Applied AI ML Lead to shape the future of intelligent systems. You will design and deliver production-grade AI/ML solutions while owning technical direction and collaborating across engineering teams. This role offers opportunities to develop agentic capabilities and contribute to a culture of innovation and learning. Ideal candidates will have a strong technical background in Python and experience with system design and operational stability.

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models

Databricks Inc. is hiring a Senior Specialist Solutions Engineer (AI/ML) in London, United Kingdom, for a hybrid position. The role involves guiding customers in architecting ML applications on the Databricks platform, while mentoring and expanding technical skills in GenAI, LLMOps, and ML. Ideal candidates will have technical expertise in ML Engineering, hands-on experience in cloud infrastructure, and a commitment to customer success. Benefits offered include comprehensive perks tailored to regional needs.

Role description Role: Java & CloudNative Location: London / Warsaw - 3 days from office Type: Perm/FTE Job Summary Seeking a Specialist with 5 to 7 years of experience in Core Java React and cloud native technologies to design, develop, and maintain scalable applications within the investment banking domain. Job Description Design and develop robust applications using Core Java, ReactJS and associated frameworks. Utilize multithreading algorithms and data structures to build efficient and scalable solutions. Develop and maintain cloud-native applications leveraging Kubernetes and Amazon AWS services. Implement RESTful APIs and gRPC for seamless backend and frontend integration. Build responsive and user friendly UI components using JavaScript, TypeScript, HTML5, CSS3 and state management tools like Redux or Context API. Integrate Kafka for event streaming and real time data processing. Utilize Apache Ignite for in memory data grid and caching solutions. Collaborate with cross functional teams to gather and analyze business requirements within the investment banking and risk domain. Follow best coding practices and ensure code quality through thorough testing. Stay updated with the latest advancements in Java, React, cloud native technologies and investment banking trends. Troubleshoot and debug application issues to optimize performance and reliability. Document application design architecture and operational procedures. Roles and Responsibilities Lead development initiatives within the React, Java and cloud-native technology stack. Design and implement RESTful APIs and gRPC services to ensure smooth integration between frontend and backend systems. Collaborate closely with DevOps teams to support CI/CD pipelines and automate deployments using Kubernetes and AWS. Mentor and provide technical guidance to junior developers on Core Java, ReactJS, Kafka, Apache Ignite and cloud-native best practices. Participate actively in Agile ceremonies including sprint planning, daily standups and retrospectives. Ensure adherence to security compliance standards and best practices in application development. Optimize application performance and scalability based on monitoring and feedback. Troubleshoot and resolve production issues to maintain high system availability. Apply investment banking domain knowledge particularly in risk management to align technical solutions with business needs. Mandatory Skills AWS Infra Services GCP DevOps Java Kafka

Principal Systems Engineer Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Luke Rank Compensation: £72,000 - £95,000 / year Description We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision-making for frontline teams, and protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 160 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest-growing engineering businesses. About the role We're looking for a Principal Systems Engineer to lead the design and integration of complex systems across our programmes. You'll own major elements of a system - defining architecture, driving integration, and ensuring the capability works end-to-end. You'll work closely with users, engineers and partners to de risk delivery, resolve system challenges, and ensure solutions are technically robust and operationally effective. Across the business we're working on challenges including soldier systems, C4I integration programmes, AI/ML capabilities, and new product development. These programmes combine software, hardware, networks and data, often operating in denied, disrupted or constrained environments. We value practical engineering and sound judgement. You'll use the right tools and level of process for the problem at hand - leveraging modern tooling and automation where it helps, while ensuring the right level of technical assurance. Experience working across waterfall, agile, iterative and spiral delivery approaches is important, as is the ability to work with a range of stakeholders across engineering teams, partners and users. This is a hands on technical leadership role. You'll guide engineering decisions, mentor other engineers, and take ownership of key parts of a programme while remaining close to the engineering work. Our culture values clarity, pace and engineering judgement. We focus on user needs, communicate openly and work collaboratively to deliver meaningful capability. This role requires a minimum of 3 days per week on site at our Bristol HQ. There will also be occasional travel to customer sites. Candidates must be willing to obtain a UKNSV security clearance, with SC clearance being essential. More information about security clearance is available here: Key areas of responsibility As a Principal Systems Engineer at Rowden, you'll be responsible for: Owning and leading the systems engineering design and integration of major system elements within complex programmes, ensuring capabilities perform reliably end to end Developing and maintaining system architectures, interface definitions and integration plans for the areas you are responsible for Acting as the technical go to for your system area, guiding engineering decisions and helping teams navigate complex system level challenges Applying pragmatic systems engineering across the V cycle, balancing appropriate engineering rigour with the pace required to deliver operational capability Working closely with software, hardware, RF, networking and infrastructure teams to design, integrate and deliver multidisciplinary systems Identifying and managing technical risks, system dependencies and integration challenges, using experimentation, modelling and testing to de risk delivery Working directly with users, partners and stakeholders to ensure systems meet operational needs and perform effectively in real world environments Mentoring engineers and contributing to the continuous improvement of Rowden's systems engineering practices, tooling and ways of working Key skills, experience and behaviours We are looking for someone passionate about technology who actively invests in their technical skills and abilities. We are looking for a person with: In-depth knowledge and experience in the practical application of model based and agile systems engineering tools and techniques Experience across the full systems engineering lifecycle using a range of development approaches A degree or equivalent experience in a relevant engineering or technical subject Experience working across software, hardware and networked systems Track record of effectively mentoring and coaching team members Extensive experience working within delivery teams to ensure successful outcomes in challenging and complex projects Proven analytical thinker, problem solver and decision maker and has strong interpersonal and communication skills, capable of supporting all levels of the organisation Highly Desirable Experience A background in regulated sectors delivering complex connected systems, such as defence, national security, telecommunications, financial services, or automotive industries Designing, deploying and supporting solutions to/at the far edge in denied, disrupted, intermittent or lossy communication environments Chartered Engineer status About you Pragmatism: You will adopt a decisive, precise and pragmatic approach to both delivery and the development of systems capability, effectively considering the holistic risk / reward balance Attention to detail: You will have a quality mind set and be in the detail, providing objective assurance of systems activities building high levels of trust and autonomy within the team Operational expertise: You will have the experience in delivery, such as making the mistakes, going too-light or too-heavy on process and tools, understanding the real world complexity and consequences of difficult trade offs etc, to lead, direct, inform, mentor and coach members of the systems team Communication Skills: You can explain complex engineering information clearly and persuasively to both technical and non technical stakeholders, in a fast paced environment Working at Rowden We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds, so please apply and come as you are! We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part time working requirements and/or workplace adjustments with all our applicants. Rowden is a Disability Confident Committed company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible. Finally, if you feel that you don't meet all the criteria included above but have transferable skills and relevant experience, we'd still love to hear from you!

Senior Platform Engineer Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Stephen Pope Compensation: £70,000 - £90,000 / year Description We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision making for frontline teams, and protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 160 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest growing engineering businesses. About the role We're seeking a Senior Platform Engineer to help build the engineering platform that underpins how Rowden develops, deploys, and operates technology. The platform will improve developer experience and make Rowden's engineering faster, more consistent, more scalable, and more secure. This is a high impact opportunity to shape the foundations of one of the UK's most exciting technology companies. Working closely with Software, Infrastructure, ML, IT, Product, QA, and Security teams, you'll be hands on in delivering the platform vision and improving engineering experience. You'll play a critical role in building the tooling, infrastructure, and capabilities that enable our engineers to solve complex customer problems. Candidates must be eligible for SC Clearance. More information about security clearance is available here: Key areas of responsibility Working within the Platforms team, you'll build robust platform services, enabling self service infrastructure, seamless CI/CD, and strong observability, while also supporting API first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through high quality engineering - setting standards and patterns that teams can adopt with confidence. As a Senior Platform Engineer, you will be responsible for: Designing, building, and maintaining core platform infrastructure and services. Developing and evolving internal developer platform (IDP) capabilities, including self service provisioning and deployment workflows. Designing and supporting API first architectures to enable interoperability between systems, services, and external partners. Building and optimising CI/CD pipelines to support consistent, secure, and efficient software delivery. Enabling integration patterns across distributed systems, including event driven architectures and service based communication. Contributing to modular platform capabilities that allow teams to compose and extend functionality. Collaborating Software, Infra, ML, IT, Product, QA, and Security teams to ensure the platform meets real world engineering needs. Implementing infrastructure as code and automation to ensure repeatability, scalability, and reliability. Embedding security, compliance, and best practices into the platform by design. Contributing to platform standards, patterns, and reusable components to drive consistency across teams. Improving observability, monitoring, and alerting capabilities across systems and services. Supporting onboarding of teams to the platform and enabling adoption through documentation and guidance. Continuously identifying opportunities to improve developer experience, reducing friction and cognitive load. Key skills, experience and behaviours We are looking for a highly capable, hands on engineer who enjoys solving complex problems and building systems that others rely on. Skills you'll need: Strong experience building and operating cloud based platforms. Deep understanding of platform engineering principles, including infrastructure as code, CI/CD, system design, and service integration. Experience designing and working with APIs and building integration layers between systems. Experience with tools such as Terraform, Kubernetes, Docker, and modern CI/CD platforms. Experience with cloud and bare metal deployments. Understanding of modular platform design and composable architectures. Familiarity with observability tooling (e.g. logging, metrics, tracing) and building reliable systems. Knowledge of secure by design and zero trust principles. Strong software engineering fundamentals (e.g. Python, Go, or similar) to build platform tooling and automation. Experience working in cross functional teams and contributing to shared technical outcomes. Behaviours that matter: Mission Focused: You care about enabling others to do their best work and delivering meaningful outcomes. Relentless: You take ownership and see problems through to resolution. Collaborative: You work effectively across teams, building trust and shared understanding. Quality Driven: You take pride in building robust, scalable, and maintainable systems. Pragmatic: You focus on solutions that work in practice, not just in theory. Curious & Adaptive: You continuously learn, improve, and embrace new approaches where they add value - particularly in fast moving areas like AI and platform integration. Working at Rowden We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds, so please apply and come as you are! We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part time working requirements and/or workplace adjustments with all our applicants. Rowden is a Disability Confident Committted company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible. Finally, if you feel that you don't meet all the criteria included above but have transferable skills and relevant experience, we'd still love to hear from you!

AI Chopping Block is looking for a Lead AI/ML Engineer to set the technical direction for AI-driven projects in the public sector. This role involves leading the development of AI-powered platforms and guiding a distributed engineering team. You will ensure architectural decisions align with client goals and standards. The ideal candidate has a strong background in AI/ML, experience in managing software teams, and excellent stakeholder communication skills. Join us and help shape the future of AI implementation in government.

Our mission Scope is revolutionising the way physical data is captured. We're building the best AI-native data collection layer for the 2 billion field workers on the front line of inspection. Along the way, we're building the world's largest dataset on the condition of the built world and the decisions experts make about it. It's a $2T market and we're just getting started. We have grown revenue 10x in the last year and on track to reach 10M ARR in 2026. Our customers inspect facilities and products for companies including AstraZeneca and SpaceX. We've assembled a best-in-class team: people from institutions like Imperial, Carnegie Mellon and Oxford, and from firms like Goldman Sachs, Flexport and Amazon. Since launching from Entrepreneurs First in 2024, we've raised $24m in funding from Susa Ventures and Index Ventures (backers of Figma, Revolut and Wiz - 100+ unicorns to date). About the role As a Technical Lead, you will be a core driver of both our technology and our product strategy. You won't just be handed tickets; you will own an entire product and domain area end to end. You will act as a force multiplier shaping our technical architecture, connecting it tightly to our business goals, and aligning multiple engineers around a coherent vision. We're looking for an exceptional technical leader who wants to invent what inspection software should look like in a post-AI world. What you'll do Drive Technical Evolution: Own the long term technical strategy of your domain. You will define how our systems should evolve over time, identifying and resolving structural limitations long before they impact production. Simplify Complex Systems: Design systems that solve incredibly complex backend and AI challenges but remain simple, adaptable, and widely understood by the team. You will ruthlessly remove accidental complexity across the codebase. Bridge Architecture & Strategy: Connect our technical architecture directly to Scope's product and business goals. You will balance ideal architecture with real world startup constraints exceptionally well. Coach and Mentor: Actively mentor and grow the engineers around you, upleveling the team's technical capabilities, fostering a culture of high craftsmanship, and guiding peers through complex technical challenges. Multiply the Team's Impact: Align multiple engineers around a coherent technical direction. You will introduce design patterns and technical defaults that up level the entire engineering organisation. Own a Product Domain: Act as the strategic owner of a core product area, making it a competitive advantage for Scope. You'll build a deep, continuous intuition for our users, understanding their workflows better than anyone else. Build for the Future: Think in compounding strategies rather than isolated features. You will anticipate the second order effects of architectural decisions to ensure our systems are built to be easily changed, not just correct today. Who you are We believe great teams are made up of highly agentic "managers of one." You should apply if you are deeply technical, love staying close to the code, and thrive when given absolute ownership of problems. Experienced: You have 7+ years of experience (with a track record of leading technical direction) and have built up enough scar tissue to inherently know which technical decisions matter and which don't. Product Minded: You care deeply about metrics, users, and data. You don't just build what is asked; you define what matters in a domain and set meaningful metrics to measure success. A Natural Leader: You lead by example and through influence. You enjoy mentoring other engineers, driving alignment on complex architectural shifts, and shipping high-quality results. AI & Data Enthusiast: You are excited to engineer how we feed context to AI models (storing, fetching, and selecting standards) and want to design how unstructured data seamlessly flows through a reliable, enterprise-grade system. Compensation and benefits Competitive base salary (benchmarked against top Series A startups) + meaningful equity Visa sponsorship available - We welcome top talent globally and will support the visa process Dinners + team lunch on Fridays paid for by Scope Top tier equipment, software, and tools to give you maximum leverage Private Healthcare

Barlowe LLP is seeking an Observability Engineer to join our London office. You will manage telemetry backends, ensuring seamless observability for developers and platform teams. The role involves building scalable telemetry pipelines and maintaining OpenTelemetry. The ideal candidate will have a strong background in observability, experience with public cloud infrastructure, and proficiency in Kubernetes. Enjoy a competitive salary, comprehensive benefits, and a positive work environment.

Client360 is one of JPMorgan Chase Commercial & Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale. As a Research and Development Lead you will spearhead the exploration and development of innovative data solutions and processes for Client360. Your role involves piloting and implementing cutting edge solutions that expand Client360 capabilities, improve client experience, and drive operational performance. You will be responsible for identifying emerging trends, evaluating new tools, and fostering a culture of experimentation within the organization. Within Data, Digital and AI, you will manage the planning and execution of R&D initiatives, working closely with cross functional teams to deliver measurable business outcomes. By championing innovation, supporting compliance, and integrating insights from various sources, you will help advance CRM transformation across multiple lines of business, enabling enterprise wide change and supporting long term growth. Job Responsibilities Manages the delivery and optimization of research and development initiatives for Client360, ensuring alignment with CIB wide goals and organizational objectives. Participates in the planning, execution, and risk management of R&D programs, including frameworks for experimentation, technology evaluation, and operational efficiency. Supports R&D initiatives, adapting to evolving business needs and managing risks to achieve objectives. Coaches and mentors junior team members on best practices in research, solution generation, stakeholder engagement, and change management, enabling effective delivery of objectives. Monitors R&D performance and supports enhancements to achieve business outcomes and improve user satisfaction. Collaborates with engineering, operations, and business teams to evaluate, pilot, and implement new technologies and processes, ensuring scalability, reliability, and user centricity. Helps define the innovation experience for Client360, focusing on process optimization, data driven insights, and stakeholder satisfaction. Assists in establishing and monitoring key performance indicators, ensuring R&D initiatives deliver measurable business value and support long term strategic goals. Leverages analytics and emerging technologies to help derive actionable insights from integrated data and third party sources, supporting comprehensive client profiles and improved decision making. Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of innovative solutions. Utilizes R&D initiatives to deliver personalized client experiences, streamline operations, and enhance decision making, while supporting regulatory compliance and risk management. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise delivering research and development initiatives, business projects, or transformation programs. Strong knowledge of R&D processes, business process improvement, strategic planning, and data analytics. Demonstrated ability to support adoption of key R&D lifecycle activities including discovery, ideation, development, requirements definition, and value management. Experience supporting change within organizations and managing stakeholders across multiple functions. Track record of contributing to large scale R&D, technology integration, or analytics projects. Good understanding of technology evaluation, data governance, regulatory compliance, and operational risk management. Excellent problem solving skills and strategic thinking about R&D initiatives and their impact on organizational objectives. Strong communication and interpersonal skills, with the ability to articulate and present complex research concepts and insights to both technical and non technical audiences. Experience with emerging technologies and best practices in research, business analytics, and CRM. Experience with emerging technologies and best practices in business analytics and CRM. Experience in research and development, technology evaluation, business process management, CRM systems, or related fields within a financial institution. Bachelor's degree in Business, Data Science, Engineering, or a related field. Experience in ensuring customers and stakeholders are engaged and positive about the solutions delivered. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

REQ ID: FEQ327R160 Location:London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting edge solutions empower businesses- from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that's just the beginning: Tether Power Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco friendly practices in state of the art, geo diverse facilities. Tether Data Fueling breakthroughs in AI and peer to peer technology, we reduce infrastructure costs and enhance global communications with cutting edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education Democratizing access to top tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI driven initiatives powered by QVAC, Tether's SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy preserving architectures). Support Expansion team in shaping AI related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end to end coordination of QVAC based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast evolving, early stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: Verify the recruiter's identity. All our recruiters have verified LinkedIn profiles. If you're unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double check email addresses. All communication from us will come from emails ending We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

At the company, we're taking a revolutionary approach to computing to run the world's largest language models at scale. Building silicon, systems and software that redefine the frontier of AI only matters if developers can actually get their models running on it quickly and predictably, which is where you come in. We're looking for Developer Experience Engineers to build the tooling and workflows that companies will use to optimise their large language models onto our next-generation inference hardware. In this role, you will: Design and build the tools that customers use to run, optimise, and monitor large language models on the company hardware. Build the interfaces to existing diagnostic, profiling, and observability tools that let developers understand performance profiles, debug issues, and optimise their deployments. Write the documentation, quickstarts, reference examples, and tutorials that define a developer's first and lasting impression of our platform. Act as the voice of the external developer inside the company - turning real deployment pain into roadmap priorities. Work in a tight hardware-software co-design loop with ML compiler, runtime, systems software, and silicon engineers to shape APIs and abstractions before they ossify. It would be great if you have: Strong software engineering fundamentals and experience building developer-facing tooling, SDKs, APIs, or platforms that other engineers depend on. Excellent Python skills, with solid experience of one or more systems languages such as Rust, C++, or Go. A good understanding of modern ML workloads and the practical challenges of deploying large language models to production. Empathy for the developer experience - you instinctively reduce the number of steps, surprises, and footguns between a user and a working result. A creative and innovative mindset, and a willingness to take ownership and drive results in a fast paced environment. A Computer Science, Electronic Engineering, Maths, Physics, or related degree and 5+ years of industry experience. You may also have: Experience with inference serving stacks (vLLM, SGLang, TensorRT-LLM, Triton) or ML compiler and runtime toolchains. Experience working with GPUs, TPUs, or other machine learning accelerators. A track record of contributing to or maintaining open source developer tools or ML ecosystem projects. Experience writing technical documentation and developer education content. Previous experience in a startup or small team environment. How we work Ownership and execution: you will have full agency to drive your work forward. Hyrid: Three days per week working on site Rapid iteration: we all work directly with top leadership to move from idea to product on ambitious timelines. Full stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact. Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there. Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter whose it is. About us Founded in 2022, with a team of 100+ that is expanding rapidly. Modern, open offices in London and Bristol. A collaborative, problem solving culture built on deep curiosity, entrepreneurial initiative and technical fluency. Export control and security clearance Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

Job Description Build what's next in applied AI at the company - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Identify hidden problems and patterns in data proactively to improve coding standards and system architecture Participate in software engineering communities of practice and events focused on emerging technologies Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Strong understanding of the Software Development Life Cycle Solid grasp of CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent to agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

JOB DESCRIPTION As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration. Equal Employment Opportunity Statement We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Location - Leeds/Dublin/London. Hybrid. Permanent. About the Role In Flutter COO we work with experts across Flutter to build, deploy and communicate the Flutter Edge. We cover Product&Payments, Technology, Sportsbook Product&Trading, People, Property, Corporate Communications and Strategic Partnerships&Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter's applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery - building scalable, high performance data platforms that enable real time and batch data processing at scale. Responsibilities Drive platform capability improvements - continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best in class capabilities. Enable application data consumption - understand how applications produce and consume data, designing solutions that enable efficient data access patterns, real time streaming, and batch processing for application needs. Architect data streaming solutions - design and implement real time data streaming architectures using Kafka and Pulsar, ensuring low latency data delivery to downstream applications and services. Design distributed data structures - work with engineering teams to design effective data structures for distributed systems like Cassandra, optimizing for read/write patterns, scalability, and performance. Deliver cloud native data solutions - architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring - mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions and grow their technical capabilities. Develop executable roadmaps - create pragmatic technology roadmaps that deliver near term business value while progressing toward target state architectures for distributed data platforms. Partner with engineering teams - build strong relationships with engineering teams across Gaming and Sportsbook, understanding their data needs and translating them into scalable platform solutions. Design solutions for projects - deliver ADRs, data models, technical designs, and assessments to support delivery of business goals, working with engineering teams to bring solutions to life. Influence technical strategy - shape the technical direction of data platforms, considering future application requirements and emerging technologies in distributed systems and data streaming. Manage technology risk - identify, communicate, and mitigate technology risks associated with distributed systems, data platform decisions, and system integrations. Ensure operational excellence - design solutions with security, cost optimisation, performance, regulatory requirements, and compliance in mind. Contribute to architecture governance - support architecture forums and governance processes, ensuring timely review and alignment across Flutter. Requirements Distributed data platforms expertise - extensive experience designing and implementing distributed data platforms at scale, with deep understanding of distributed systems principles and trade offs. Data streaming architecture - proven track record architecting and implementing real time / low latency data streaming platforms including patterns for event driven architectures. OLTP, NoSQL and distributed databases - experience with Cassandra or similar distributed databases, understanding data structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL. Distributed compute frameworks - strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large scale batch/streaming workloads. Cloud native data platforms - demonstrated experience with any Cloud Providers such as AWS, GCP, Azure, including Databricks. Application aware data architecture - strong understanding of how applications produce and consume data, designing platforms that serve application needs efficiently across real time and batch use cases. Large scale platform delivery - track record of delivering large scale data platforms for high volume B2C software businesses, preferably in Gaming, Sportsbook, or similar real time domains. Data transformation experience - demonstrated experience contributing to data modernisation and migration initiatives and ability to drive a data first approach within the organisation. Solutions delivery focus - proven ability to execute and deliver practical solutions, working closely with engineering teams to bring architectures to life. ML/AI platform enablement - demonstrated experience productionising data science and ML/AI capabilities through the data lifecycle, including feature stores, training pipelines, model serving patterns, and data platforms that enable ML at scale. Regulatory & compliance experience - designed and implemented compliant data solutions across regulated environments (PCI/SOX/HIPAA), ensuring adherence to industry standards and data protection requirements. Benefits Bonus scheme Uncapped holiday allowance Enhanced pension scheme Private healthcare Life assurance Income protection £1,000 annual self development learning fund Invest via the Flutters Sharesave Scheme Enhanced parental leave

Applied Engineer (Tribal Knowledge) Design and own the agent system that compiles an organization's tribal knowledge London / SF Full-time Engineering About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As an Applied Engineer at Pavo, you will design and own the agent system that compiles an organization's tribal knowledge - the body of knowledge that nobody has written down - from its own evidence: source code, structured data, internal documents, and conversations. You'll work hands-on at the level of agent architecture, pipeline design, and the production surface that turns a generative system into one customers can depend on. You'll partner closely with the Applied Scientist on instrumentation - but the system itself is yours. It is the most consequential thing we build, and idea to production is days. This is a senior, individual-contributor role. Everyone on the team joins as a Member of Technical Staff - with the scope, autonomy, and end-to-end ownership that title implies. What You'll Build Hierarchical Agent Architecture: Design how a main agent coordinates sub-agents, tools, and skills - deciding where deterministic scaffolding beats prompting and where prompting is the right tool. This decomposition is the single biggest determinant of whether a generative knowledge system is dependable. The Synthesis Pipeline: Own the multi-stage system that turns heterogeneous private evidence into a verifiable knowledge artifact - with the checkpoints, retries, fallbacks, and structured outputs that production reliability requires. Deployment & Rollout: Build scheduled regeneration, quality and reliability gates, blue/green rollout, and customer-facing version control of compiled knowledge artifacts. Treat each release with the seriousness it deserves. Observability & Debuggability: Structured traces of agent runs, replay/debug tooling, cost and latency budgets, and regression detection on releases. A multi-stage agent run must be debuggable by someone who didn't initiate it. Reliability as a First-Class Property: Treat run-to-run variance as a defect class equal to incorrectness, and build the engineering practice that reduces it. Eval & CI Infrastructure: Reproducible, automated evaluation that feeds signal back into the deploy loop - complementary to the experimental harness on the science side. What We Are Looking For We are looking for an engineer who has shipped dependable production systems and is hungry to do it at the edge of what current agentic frameworks can do. Core Qualifications Senior Track Record: 8+ years building and operating production systems, including a stretch where you owned a major system or platform area end-to-end and were the engineer others came to for the hard problems. Production Engineering Chops: You ship Python systems that other engineers want to extend; you write tests that catch real bugs; you have opinions about structure, dependency boundaries, and what belongs in a library versus an application. Hands On with an Agentic Framework: Depth with at least one - Anthropic tool use, OpenAI Agents SDK, Pydantic AI, LangGraph, AutoGen, or equivalent - including its sharp edges, not just its happy path. We have no preference for which; we strongly prefer that you've been bitten by one. Strong Opinions on Agent Architecture: When to use a single-context agent versus decompose into sub agents. Where deterministic code beats prompting, and how to tell which before the third refactor. What a tool is, what a skill is, and where the line is. Deployment Pipelines for ML/LLM Systems: Experience designing and operating rollout, gating, observability, on call posture, and regression detection. Comfort with Reliability Work: The unglamorous work that turns a flaky agent into a dependable one - async Python, structured outputs, retries with sensible idempotency, and the long tail of "why did this run produce a different answer." Pragmatism About Prompts: A hard won sense of what's prompt tunable and what isn't. You've earned this opinion at least once. Preferred Qualifications Built or maintained an LLM evaluation harness in production. Familiarity with retrieval / IR systems and the engineering of large-context pipelines. Distributed systems background - workflow engines (Temporal / Airflow / Prefect), queues, and observability stacks (OpenTelemetry, Datadog, Honeycomb). Open source contributions to agentic frameworks, eval tooling, or workflow orchestration. Why Join Us Architecture Defining Work: The system you design becomes the substrate for everything we ship downstream. Short Loop: Work directly with the Applied Scientist on instrumentation and with the founders on platform direction. Idea to production is days. Real Ownership: Genuine ownership in a small, technically deep team. Your name will be on the system. Foundational Space: The private knowledge layer will reshape how AI agents operate inside organizations; the engineering problems sit at the edge of what current agentic frameworks can do well. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title: Senior Director, Artificial Intelligence (AI) and Data Strategy, TOSI Reporting to: VP Technical Operations, Science & Innovation Location: Macclesfield, UK Hybrid working model - 3 days per week onsite At AstraZeneca, science compels us to push the boundaries of what is possible to turn science into life changing medicines for patients who need them most. We deliver breakthrough science by creating thriving, vibrant and open science centres where our scientists are free to pursue their ideas and collaborate both with colleagues and our academic and industry partners. Introduction to role: Are you ready to harness AI and data to reshape how life changing medicines are sustained at scale? In this role, you will set the vision and lead the execution of a bold AI and digital strategy that connects development to large scale technical operations, accelerating productivity, compliance, and problem solving across the commercial product lifecycle. You will lead a small, high performing team of AI and digital experts to deliver measurable impact-reducing cycle times, improving first time right outcomes, and embedding sophisticated analytics into daily decision making. If you can bring senior leaders together behind a clear and compelling roadmap, implement solutions that deliver lasting value, and build the capabilities that embed transformation for the long term, we would be delighted to hear from you. Accountabilities Vision and Strategy: Define and own the AI, data, and digital strategy for on market technical functions, aligned to business objectives and patient impact. Value Realisation: Drive measurable productivity gains and cost efficiencies; set benefit targets and ensure solutions translate to outcomes in the business. Portfolio Leadership: Build and manage a balanced portfolio of initiatives that redefine day to day operations, from pilot to scale. Indicators and Governance: Establish metrics, tracking mechanisms, and governance to ensure benefits are realised and sustained. Solution Delivery and Adoption: Lead the development, delivery, implementation, and adoption of digital and AI solutions that enhance efficiency and innovation across teams. Platform Integration: Partner with platform owners to integrate ERP, MES, QMS, and content/regulatory systems into end to end digital solutions. Data Architecture and Compliance: Shape robust data architectures and governance that enable AI at scale in regulated environments. Investment and Stakeholder Alignment: Create compelling business cases, align senior leaders, secure funding, and track the value delivered. Workforce Capability Uplift: Build a strategic capability programme that raises digital fluency and prepares the organisation for the future. Team Leadership: Lead and mentor a small team of AI/digital experts; foster a culture of innovation, delivery, and continuous improvement. Portfolio and Resource Management: Manage budgets, resources, and multi functional collaborations to meet commitments and influence outcomes. Safety, Quality and Standards: Champion SHE and cGMP principles while advancing digital transformation. Essential Skills/Experience Master's degree or equivalent experience or higher in a relevant science or engineering field. Technical expertise, including knowledge in the language of AI, data engineering, e.g., Python, R, cloud platforms (AWS/GCP). Solid understanding of data architecture, data governance, and AI deployment at scale in regulated environments. Experience working with enterprise platforms (e.g., ERP, MES, QMS, content/regulatory systems) and integrating them into digital solutions. Strong CMC knowledge with experience in Pharmaceutical Product Development and Manufacture, along with extensive knowledge of CMC processes across all product stages. Strategic leadership with a proven track record of developing, leading and delivering multi functional digital strategies and transformative programmes within a pharmaceutical CMC context. An innovative outlook that employs a digital first approach to streamline processes, enhance compliance, and foster efficiency. Outstanding business insight, proficiency in developing a strong argument for projects, organisational skills and lean tool deployment. Managing transitions and agility with ability to drive digital transformation and adapt strategy based on internal constraints or evolving tech/regulatory landscapes. Experienced in managing collaborators, good communication skills, capable of leading and collaborating effectively at senior levels. Ability to build consensus and navigate conflicts. A problem solving approach that delivers critical thinking and substantial business value. Thorough understanding of principles, applications and management of SHE and cGMP. Desirable Skills/Experience PhD or equivalent experience in a relevant scientific, engineering, or data field. Demonstrated experience operationalising MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi functional teams and vendor ecosystems across multiple time zones. Knowledge of ICH guidelines (e.g., Q8-Q12) and regulatory interactions related to digital/AI enabled submissions. Track record of thought leadership (e.g., publications, conference talks, patents) on AI and data in CMC. Certification in Lean Six Sigma or portfolio/program management. Experience spanning both small molecule and biologics would be advantageous. Date Posted 25-Jun-2026 Closing Date 24-Jul-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.