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About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence

About Huzzle At Huzzle, we connect high-performing B2B sales 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 sales 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 seeking a Remote AI Backend / Full-Stack Engineer with strong Python and modern web development experience to help build and scale an AI-powered travel planning platform. You will work closely with the product and engineering teams to develop backend services, build APIs, and contribute to frontend features. This role requires a developer who can write clean, scalable code, collaborate through GitHub pull requests, and contribute to sprint planning in an agile environment. The ideal candidate is comfortable working in a startup environment, takes ownership of deliverables, and is passionate about building high-quality AI-driven applications. Key Responsibilities Develop and maintain backend services using Python and FastAPI Build and optimize APIs that power AI-driven travel planning features Collaborate with engineers through high-quality GitHub pull requests and code reviews Contribute to sprint planning and agile development cycles Work on frontend components using React Integrate backend systems with MongoDB databases and AWS infrastructure Ensure code follows clean architecture principles and coding standards Improve system performance, reliability, and scalability Collaborate with AI and product teams to implement new platform capabilities Strong English communication skills Strong experience with Python backend development Experience building APIs using FastAPI or similar frameworks Familiarity with React for frontend development Experience working with MongoDB Experience using GitHub for version control, pull requests, and collaborative development Understanding of cloud infrastructure (AWS or similar platforms) Ability to contribute effectively to sprint planning and agile workflows Nice to Haves Experience working with AI-assisted development tools (e.g., Claude Code) Strong understanding of software architecture and scalable system design Ability to write high-quality, maintainable, and well-structured code Experience working in fast-paced startup environments 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

Chainalysis is seeking a Staff Product Security Engineer to lead product security for our SaaS platform. You'll work with product engineering teams on security reviews, penetration testing, and vulnerability management. Ideal candidates have over 8 years of experience in application security and strong coding abilities in Java. Join us to enhance the security across our innovative platforms!

Chromatography Product Applications Specialist Location: Crowborough, East Sussex (Hybrid - minimum three days per week onsite) Salary: £70,000 to £100,000 basic annually plus benefits. Travel: 10% to 15% global travel. Relocation support can be offered where appropriate. Responsibilities Develop and validate new gas chromatographic methods for process applications. Extend measurement ranges and background gas capability across the analyser portfolio. Provide expert application support to R&D, Sales, Service and customers. Design and execute experimental test regimes and validation studies. Support new product development through feasibility studies and performance characterisation. Investigate and resolve complex application and performance challenges. Produce high quality technical documentation, application notes and reports. Collaborate across multidisciplinary teams to align products with customer and market needs. Work in line with company policies, procedures and quality standards. Qualifications Proven experience in process gas chromatography. Strong understanding of GC detectors, column and trap technologies. Demonstrable expertise in method development, validation and optimisation. Experience working with different background gases and complex matrices. Strong analytical thinking, problem solving and data interpretation skills. Experience working within Engineering, R&D or Applications environments. Excellent communication and collaboration skills. Confident user of Microsoft Office tools. Desirable Experience Experience with process analysers and on line GC systems. Knowledge of industrial gas applications and standards. Experience supporting customers or field based application issues. Strong capability in technical reporting and data analysis. Experience working in multidisciplinary teams. Exposure to Lean manufacturing or continuous improvement approaches. Experience facilitating Lean or Six Sigma initiatives. Education & Certifications Essential: BSc (or higher) in Chemistry, Analytical Science, Chemical Engineering or related discipline. Desirable: MSc or PhD in a relevant discipline; Lean Six Sigma Green/Black Belt (or equivalent). Benefits Discretionary Company Bonus. Opportunities for growth & development through our structured Talent Management System. Annual Performance Review. Private Medical Insurance. Personal Pension Plan (up to 10.5% employer contribution). Employee Wellbeing Programme. 25 days' annual leave with option to buy more + Bank Holidays + Company Shutdown Day. Two Volunteering Days. Life Assurance (4 Salary). Professional subscriptions support. Staff Referral Scheme and Long Service Awards. Global Recognition Scheme. Cycle to Work Scheme. Free Parking. EEO Statement We are a Disability Confident Employer, a Mindful Employer, signatories of the Menopause Workplace Pledge and Age Friendly Employer Pledge, and an endorsed employer for women through Work180. We are committed to fair, inclusive recruitment and will make reasonable adjustments throughout the hiring process.

About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Software Engineer you will be responsible for development of new and support existing kernels for liner algebra operations on a new generation of AI hardware. The Team This is an exciting opportunity to join an expanding team at Graphcore. Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware. Responsibilities and Duties Implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++. Profile and optimise across for next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency. Contribute towards performance and correctness - add microbenchmarks, regression tests, numeric validation. Debug issues, resolve bugs and generally improve the quality and functionality of the product. Actively engage in and support Agile ways of working within the team. Candidate Profile Essential: Excellent programming and scripting skills using C++ and Python. You thrive on solving challenging problems with creativity, think outside the box, and see the bigger picture beyond the specific software component you are working on. Possess excellent written and oral communication skills, good work ethics, high sense of teamwork. Love to produce quality work and be a team player. Desirable: Strong understanding of processor architectures. Experience or solid understanding of algorithmic performance - vectorisation, memory hierarchy, threading, lock-free patterns, and profiling on Linux. Hands-on with at least one BLAS/DNN stack and able to read/extend kernels. Experience integrating native code into PyTorch or similar (custom ops, extensions, dispatch keys). Comfort with CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16. ABI/API stability and packaging for Linux distros, manylinux, wheels. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

At the company's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. the company combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models Design and implement event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high-availability, multi-environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice-to-have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional-level cloud certification Production experience managing complex Kubernetes clusters and high-scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.

The Login Platform group covers all aspects of user authentication and experience across Terminal and Enterprise (non-Terminal) workflows. This includes teams that manage the company's Single Sign-On (SSO), Multi-Factor Authentication, user login experience, and the sessions platform used to propagate authentication and authorization context throughout the the company ecosystem. Sessions are the backbone of authorization decisions across the company. They are created from entry points including the Terminal, Mobile, Enterprise applications, Web, and more. These sessions need to include the correct entitlements, customer data, and security context so that application teams can make the accurate entitlement decisions. Whenever you access any data in the company, the information that determines what you can do and what data you can access flows through our systems! We're evolving our session and authorization infrastructure to support AI agents, MCP-based integrations, and machine-to-machine workflows across the company systems. We are hiring Senior Software Engineers for two closely related teams in London focused on session infrastructure and session lifecycle management. Where we sit We're part of Login Platform within the Platform Security organization, operating deep in the infrastructure stack. Our teams own the framework that orchestrates sessions enrichment flows, while data-owning teams provide and manage the underlying datasets. Almost every business unit at the company depends on our platform to make authorization and access-control decisions. Our software is critical to maintaining the company's reliability, compliance, and continued growth. Because of our position in the stack, we enforce security not only for others, but for ourselves as well. What you'll do As a Senior Software Engineer, you'll play a key role in shaping and scaling the infrastructure that powers session creation, enrichment and authorization across the company. You will Design, build, and optimize low-latency, multi-threaded backend systems that handle session and authorization data at scale. Collaborate with multiple Engineering and Product teams to deliver a reliable and secure login experience. Contribute to architectural decisions and long-term technical strategy for the Login Platform. Improve tooling, observability, scalability, and performance across critical infrastructure services. Explore and champion new ideas to evolve our systems responsibly over time. Engineers on the team are involved throughout the software lifecycle, including design, deployment, observability, incident response, and long-term platform evolution. Our technologies We work primarily in C++ and some Python, running mostly on Linux, with continued support for Solaris clients until full migration is complete. Because we sit deep in the infrastructure stack, you'll often need to balance innovation with compatibility, designing modern, robust solutions that coexist with legacy systems. You'll need to have Strong software engineering experience in C++, ideally building backend, infrastructure, platform, or systems-level software. Experience designing, building, or operating distributed backend systems, ideally in high-availability, low-latency, or infrastructure-heavy environments. Strong experience designing and building multi-threaded or concurrent applications. Experience owning software across the full lifecycle, including design, implementation, testing, deployment, observability, incident response, and long-term evolution. Ability to make pragmatic system design decisions across performance, scalability, reliability, maintainability, and compatibility constraints. An eagerness to understand a large, non-trivial stack and propose incremental improvements without compromising reliability or security. Strong communication and collaboration skills, with the ability to work effectively across Engineering, Product and platform-dependent teams. A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience. We'd love to see Background in authentication, authorization, identity, access control, entitlement systems, SSO, MFA, session management, or security-sensitive infrastructure. Familiarity with systems that propagate authentication, authorization, entitlement, or security context across distributed services. A track record of building low-latency, reliable backend or infrastructure services. Hands on involvement in improving observability, scalability, performance, reliability, or operational tooling for production systems. Exposure to platform teams that support multiple internal product or application teams. Experience working across multiple business units or products, with an understanding of their operational and integration challenges. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes the company unique - watch our podcast series for an inside look at our culture, values, and the people behind our success. Accommodations The company provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER\ (Americas), EMEA\ (Europe, the Middle East and Africa), or APAC\ (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application. Equal Opportunity The company is an equal opportunity employer and prohibits discrimination in employment. It is the company's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic"). The company prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.

Job Description As a Software Developer, you will collaborate with a team of exceptionally skilled professionals dedicated to the development, enhancement and support of our cutting edge Sports Trading Platform. Working within the trading and tools team, you will develop a diverse range of applications, including desktop solutions such as WPF & WinForms, backend services such as .NET & Golang, and SQL Server stored procedures. Your contribution will be vital in delivering real time data through our innovative trading platform. This will empower the trading department to create, configure and trade both sporting and non sporting events, enabling customers to place bets on a vast array of outcomes. Our technology stack features C#.NET, SQL Server, and Golang, with in house training provided to further enhance your skills and this role presents exciting challenges in a hardworking, delivery focused environment. We are looking for individuals with a diverse range of technical skills who are prepared to address the most pressing challenges in technology and support our growth in emerging markets worldwide. This role is eligible for inclusion in the Company's hybrid working from home policy. Qualifications Proven expertise in Commercial C# and MS SQL Server. In-depth knowledge of Windows applications and Microservices architecture. Experience of WPF is desirable. Knowledge or experience of Kafka. Knowledge or experience of web or cloud technologies. Experience using Git version control. Experience with Linux. Experience with handling data from external providers. Excellent communication skills, both verbal and written. A strong team player with good problem solving skills. Additional Information Developing and supporting highly efficient, robust, and quality code for applications and services. Maintaining clean coding practices. Enhancing and supporting existing trading functions. Supporting Product Owners as needed. Supporting the testing team during project phases. Contributing to innovative solution proposals. Identifying technical areas for improvement. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don't hesitate to reach out.

The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across the company. This brand new role is created to bridge the gap between application development and platform engineering, creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high impact role with real scope to influence how engineering works at the company. What you'll get to do in the role: Own and evolve the service template library for .NET, Node.js and Python - covering project scaffolding, dependency management, containerisation, local development setup and production configuration. Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning and deployment - consistent across stacks and reusable across teams. Define and ship observability standards: structured logging, distributed tracing and alerting integrated into service templates so every new service is production ready from day one. Work hands on with Datadog, incident.io and/or GCP/Azure native logging and monitoring tooling to build the platform level observability layer teams plug into. Contribute to our thinking on a potential Azure to GCP migration - helping assess changes for developer tooling and service templates and building proof of concept work that informs the decision. Partner with product engineers to understand where developer experience breaks down - slow pipelines, confusing templates, missing runbooks - and fix the root causes, not the symptoms. Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. Mentor engineers in the Cloud Platform team and act as a go to resource for product engineers getting to grips with platform tooling. What we think you'll need: Proficient in at least one of .NET (C#), Node.js or Python - able to build, configure and template production grade services in each. Strong GCP experience (Azure experience is a nice to have). Hands on experience designing reusable CI/CD pipeline templates - GitHub Actions or Azure DevOps - consistent across stacks and teams. Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. Observability experience with at least one of Datadog, incident.io or cloud native logging and monitoring (GCP Cloud Operations or Azure Monitor). Infrastructure as code with Terraform. A proven track record of driving adoption - building things engineers use, writing docs that get read. The interview process: Screening call with Chess (Internal Recruiter) (30 min) Video interview with the Hiring Manager (45 min) In person code pairing interview with a member of Engineering team (1 hour) Video interview with the wider company team (1 hour)

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

Jobr.pro is seeking an AI Engineer to design and deploy production-grade AI systems powered by LLMs. You'll work directly with Fortune 500 companies to transform complex workflows and build real-world AI applications. This role is hands-on and involves defining system architectures and deploying reliable, high-impact AI systems. Applicants should have 3+ years of software engineering experience with strong Python or TypeScript skills. Benefits include a competitive salary, equity, and a comprehensive benefits package.

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.

Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people first. We value collaboration, curiosity and commitment. As a Senior Lead Software Engineer (Platform) at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. In this senior lead role, you set technical direction across squads, raise engineering standards, and mentor and grow other technical leaders. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Sets technical direction for platform engineering across squads, aligning architecture, delivery, and operational excellence to business outcomes and risk controls. Develops secure high quality production code, and reviews and debugs code written by others; establishes engineering standards and best practices. Designs and develops composable infrastructure systems and capabilities, with a focus on scalable platform services. Designs, builds, and operates Kubernetes based platform services; automates developer self service and CI/CD; improves reliability and operational readiness; strengthens platform security and controls via IaC, policy as code, and hardening standards. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Provides operational support and leadership for production systems in a "you build it you run it" culture, including incident response, post incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Leads and grows communities of practice across Software Engineering to drive awareness, adoption, and use of new and leading edge technologies. Coaches and mentors engineers, developing technical leadership capability and supporting high performance across teams. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect, or equivalent experience. Hands on practical experience delivering system design, application development, testing, and operational stability, including leading technical delivery in complex environments. Advanced in one or more programming language(s), such as Go, Java or Kotlin. Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale. Preferred qualifications, capabilities, and skills Expertise in the Kubernetes operator pattern. Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent. Experience with GitOps workflows. ABOUT US J.P.Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM 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.

Associate Director - Senior Technology Pre - Sales We are seeking a highly skilled and experienced Technology Pre - Sales consultant to join our Life Solutions team in EMEA, supporting the growth of the PathWise actuarial technology platform across the region. The successful candidate will play a key role in positioning, demonstrating, and shaping technology-enabled PathWise solutions for prospective and existing clients, with a focus on the technology platform, client IT integration and tooling transformation. This role is to be based out of our London Head Office. What the day will look like Serve as the technology subject matter expert in client pre sales engagements for PathWise across EMEA. Create the application architecture design, in conjunction with the client's technology and security teams to assist in the development of the client value proposition and business case for PathWise as the client's actuarial technology platform. Support sales in identifying and qualifying opportunities where PathWise technology can deliver clear business value to insurers and reinsurers. Lead discussions with clients to understand their technology strategy, objectives, existing platforms, architectures and constraints. Contribute technology content to proposals, RFP responses, client presentations and commercial negotiations. Complete regular client audit requirements for technology/security and regulatory compliance. Present PathWise capabilities, architecture and deployment approaches to technical and non technical stakeholders, including senior executives (e.g. Chief Actuary, CFO, CRO, CIO/CTO). Collaborate with internal product, technology, modelling and implementation teams to ensure proposed technology solutions are robust, feasible and aligned with the PathWise roadmap. Monitor market and technology developments in EMEA and translate them into relevant PathWise positioning and sales messages. Support thought leadership and market facing activities (e.g. conferences, webinars, client workshops) on actuarial platforms, cloud / high performance computing and IT topics. Skills and experience that will lead to success Bachelor's or Master's degree in a technical field such as Electrical/Computer Engineering or Computer Science. Proven ability to engage and build credibility with senior stakeholders across IT/technology functions and business functions (e.g. actuarial, risk and finance). Minimum eight years of relevant experience in technology platforms and their technology stack, with meaningful exposure to working in the financial services industry. Understanding of technology platforms including cloud based solutions, high performance computing concepts (e.g. grid, GPU or distributed computing), APIs, process and workflow automation, data management and architecture, SLAs, disaster recovery, technology deployments and IT governance. Excellent communication and presentation skills, able to explain complex technical and technology concepts in a clear, outcome focused way. Demonstrated experience working with or supporting sales / business development teams, including participation in pitches, RFPs or commercial discussions. Preferred Qualifications and Experience Experience with actuarial and projection platforms used in the life insurance market, and familiarity with typical actuarial modelling processes, controls and governance. Exposure to actuarial platform or model transformation/migration initiatives, including definition of target architectures and operating models. Multi language skills: English (spoken and written) and German, Spanish or Italian.

JOB DESCRIPTION We're looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Senior Principal Software Engineer at the company within Infrastructure Platforms - Cloud Foundation Services, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. Job responsibilities Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio Creates novel code solutions and drives the development of new production code capabilities across teams and functions Translates highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences across business, product, and technology teams and successfully manages senior stakeholder relationships Champions the firm's culture of diversity, opportunity, inclusion, and respect Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments Required qualifications, capabilities, and skills Proven software engineering experience Practical experience delivering system design, application development, testing, and operational stability Expert in one or more programming language(s): Java, Go, Python, Rust, etc. Demonstrated prior experience with influencing across functions and teams and delivering value at scale Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines Extensive practical cloud native experience Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies Preferred qualifications, capabilities, and skills Strong experience with cloud-native architecture, event-driven architecture, test-driven development Domain-level expertise in building continuous compliance systems at scale in financial services Expert-level understanding and experience with regulatory and industry standards relating to technology controls in financial services ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

JOB DESCRIPTION Join us to shape the future of our Markets CRM platform and drive impactful technology solutions. As a hands on leader, you will collaborate with talented engineers and influence the direction of our Markets business. We offer an environment that values innovation, growth, and continuous learning. Your expertise will help us deliver secure, scalable, and market leading platforms. Be part of a team where your ideas and leadership make a difference. As a VP Engineer in the Markets CRM Platform team, you will lead a global group of engineers to design and deliver advanced technology solutions. You will architect and support both front end and back end services, ensuring our platforms remain secure, scalable, and innovative. You will foster a collaborative culture, drive technical excellence, and contribute to the continuous improvement of our systems. Your leadership will empower the Markets business and support our commitment to technology driven success. Job Responsibilities Lead the development and support of front end and back end services for the Markets CRM platform Execute software solutions, design, development, and technical troubleshooting Create secure, high quality production code and maintain robust algorithms Produce architecture and design artifacts for complex applications Gather, analyze, and synthesize data to drive continuous improvement Identify and address hidden problems and patterns in data and systems Drive improvements to coding hygiene and system architecture Contribute to engineering communities of practice and technology events Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Engineering, or related field, or formal training/certification in software engineering concepts Hands on experience as a developer and technical leader in large corporate environments Expertise in Java fundamentals, object oriented programming, multi threading, messaging technologies, and computer networks Experience building high performance, latency sensitive Java applications Understanding of agile methodologies, CI/CD, application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languages Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal and communication skills, with experience working in global teams Commitment to continuous learning and improvement Preferred Qualifications, Capabilities, and Skills Familiarity with modern front end technologies such as React, Angular, or Vue.js Exposure to cloud technologies including AWS, Azure, or GCP Experience with Python and front end development Practical experience with FIX messaging protocol and QuickFIX/J Familiarity with Hazelcast or other distributed computing platforms Experience with distributed systems, microservices, and event driven architectures Why Join Us? At the company, we celebrate talent from all backgrounds and perspectives. We foster a culture of inclusion where every voice is valued, and all employees are empowered to deliver their best. We are committed to attracting and developing a diverse workforce. Learn more about our Business Resource Groups and how they support your career growth and potential. Join us and make a meaningful impact. 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.

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.

the company is where designers, animators, and developers build interactive experiences. Design, animate, and code in one place. What you build in the editor is what ships in your app, game, or website. No mockups, no prototypes, no handoff. The real thing. With the company, designers and developers work with the same tools. No silos. What you see in the editor is what ships in production. Companies like Spotify, Duolingo, LinkedIn, Google, and Fortune 500 automakers use our open-source runtimes to build once and ship everywhere - websites, apps, games, and vehicles. We're looking for a Senior Software Engineer to join our team. As part of a lean, agile team, you'll have a high degree of autonomy, ownership and direct impact on customers, with the opportunity to help shape the architecture of the company's platform as we grow. We're looking for someone who is passionate about the backend and brings lessons learned from scaling SaaS platforms that were used by thousands of active users. About the Backend Team The backend team builds and operates the systems behind the company's cloud platform, focusing on the services and infrastructure that provide the core APIs, real time collaboration, file storage, and background processing for the editor. We also own a few full stack services that power the marketplace and customer facing experiences. How we work With a high degree of autonomy and ownership, engineers are trusted to identify problems, shape solutions, and drive the technical direction of the platform. Everyone contributes to architectural decisions and has a broad impact across our stack. While our focus is on backend systems, there are also opportunities to influence and contribute to other parts of the company, including the editor and the runtimes. Collaboration is core to our culture - teams across the company work closely to design, build, and evolve our product together. We provide modern tooling, including a generous AI/tooling budget, and encourage thoughtful use of AI assisted development where it improves speed, understanding, and quality. The team is distributed between the U.K. and U.S., where we maintain a hybrid office for collaboration and deep technical work. What you'll work on: Core APIs and services that drive the company editor, multiplayer collaboration, asset management, and the company Marketplace. Database architecture and optimization, designing schemas and queries that perform at scale and evolve with our product. Customer facing applications for authentication, accounts, billing, and team management. Observability and telemetry, building insight into how our systems behave and how customers use the company. File and asset storage systems, including object storage, CDN distribution and caching layers for fast, reliable access. Real time infrastructure for live collaboration, syncing thousands of changes per second across sessions with low latency. Distributed background systems for rendering, asset conversion, and large scale task orchestration. Scalability and reliability engineering, ensuring the company stays fast and stable as we grow. Security, compliance, and permissions models that protect our customers and meet enterprise grade standards. Tech Stack includes: Node.js (TypeScript & JavaScript), Dart/Flutter, C++, MySQL (Aurora), Redis, OpenSearch, AWS (Fargate, Lambda, CloudWatch), Docker, Terraform, GitHub Actions Requirements 8+ years of professional software engineering experience, specifically in backend and infrastructure. Proven track record of owning and delivering backend services for scaling SaaS based products that are widely relied upon by active users. Node.js experience, or strong experience in multiple programming languages and evidence of learning new ones quickly. Experience with cloud infrastructure (AWS preferred), infrastructure as code, and container orchestration. Strong SQL skills, including hands on experience with query analysis and optimization. Ability to work independently in ambiguous situations: seek out requirements, make sound decisions, and prioritize effectively. Excellent communication skills, with willingness to work directly with customers when needed. Benefits £120k-£135k or $170-195k USD base salary + stock options Unlimited holiday (PTO) and comprehensive health benefits Parental leave Regular team meetups and travel opportunities Hybrid flexible work environment with Offices in London (Farringdon) and San Francisco (Potrero Hill) Coffee and lunch on us when you're in the office Compensation may depend on the level of experience and geographic location. Visa sponsorship is not available. The successful candidate will be required to provide evidence of their right to work in the U.K. or U.S. prior to commencing employment. At the company, we are a global group of passionate designers and developers who believe in transparency, failing fast, quick iteration, and experimentation. We aim to build a diverse and inclusive culture where everyone feels supported. We have an incredible opportunity to change the world of interactive content creation. Help us accelerate the design industry's transition to the company! A real human will read your resume, cover letter, and answers to the application questions so please take a minute and tell us more about you! Applications suspected to be entirely AI generated may not be considered. We value genuine, thoughtful responses and authentic, human communication.