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Director - Application Development Manager This role is located in London. Position Overview We are seeking an exceptional engineering leader to drive the design, development, and delivery of a greenfield Corporate Actions Processing Engine - a mission critical, enterprise platform for BNY. In this high visibility role, you will combine hands on technical expertise with architectural leadership to transform our Corporate Actions processing capabilities and have a significant influence on the technology direction of our platform. Responsibilities Serve as a Technical Lead for the Corporate Actions Platform owning the end to end delivery of critical components. Design and implement scalable, high performance full stack solutions using Java, Oracle, and enterprise messaging frameworks. Utilise and drive adoption of AI capabilities into the team's daily practice to accelerate delivery. Ensure all solutions align with architecture standards for mission critical systems. Lead code reviews, establish engineering best practices, and champion technical excellence across the team. Provide technical mentorship and coaching to development teams across global locations. Qualifications Technical Skills Significant experience in software engineering with additional experience in leadership roles (e.g., Head of Engineering, Technical Lead). Expert level proficiency in Java and frameworks like Spring Boot for building microservices. Strong expertise with relational databases (Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full stack development experience (RESTful APIs, front end frameworks such as Angular). Experience with Cloud and Containerization technologies. CI/CD pipelines, DevOps practices, and automated testing frameworks. Domain Expertise Significant experience in financial services, specifically: Post trade processing and settlement. Custody and asset servicing operations. Corporate actions lifecycle (dividends, stock splits, mergers, tender offers, etc.). Proven track record delivering mission critical systems in banking environments. Leadership & Delivery Demonstrated success leading engineering teams through complex, multi year transformation programs. Strong Agile/Scrum methodology experience. Excellent stakeholder management and communication skills at senior levels. Ability to operate in a matrixed, global organization. Benefits and Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay for performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details

Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world class engineering team, and deliver production grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non financial regulatory reporting, payroll, and international operations. The scale is significant, the problems are unsolved at this level of complexity, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone driven execution roadmap with measurable outcomes Develop architecture blueprints and end to end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end to end delivery of AI solutions across high complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human in the loop workflows, feedback loops, and production readiness criteria Manage cross functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on time, on budget execution Ensure all AI solutions meet production grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non technical audiences - including COO, CIO, and regulatory stakeholders Develop executive level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost to serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands on expertise in large language models including model selection, fine tuning, prompt engineering, retrieval augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool use patterns, human in the loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems. Leadership & Delivery - Required 15+ years in technology, with a proven record of leading large scale engineering organizations through build out and transformation. 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams. Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept. Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI. Track record of operating effectively in matrixed, cross functional organizations at the intersection of technology and operations. Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting. Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny. Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level. Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable. You are equally credible in a deep technical architecture review and a board level strategy discussion. You attract, develop, and retain strong technical talent - engineers want to work for you because they grow. You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you. You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each. Education: Bachelors required; Master's in CS, AI/ML, or related field preferred. What success looks like: Establish the AI engineering team and operating model - hire and structure a high performing team with clear roles, responsibilities, and a strong culture. Deliver 3+ production grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction). Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology. Define and align the multi year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation. Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle. Why this role Scale that is rare click apply for full job details

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND-01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Global Logistics Manager to join our team based in London, UK. We are seeking an experienced Global Logistics Manager to lead and govern the global movement of goods, freight operations, and cross-border logistics across Humanoid's global sites. Reporting to the Senior Manager - WILP, you will partner with teams in London, Boston, and Vancouver to deliver efficient, compliant, and scalable global logistics operations. What You'll Do Strategic Responsibilities Develop and implement Humanoid's global logistics strategy, covering freight, transportation, 3PLs, (4PLs) and cross-border material flow. Establish global logistics standards, processes, KPIs, and governance frameworks across all regions. Define global carrier, freight forwarder, and 3PL (4PL) strategies, including performance management and commercial terms. Ensure compliance with global trade regulations, customs requirements, and export controls relevant to robotics and technology. Lead global logistics risk management, including continuity planning, route optimisation, and supplier resilience. Provide strategic guidance and escalation support to regional logistics and procurement teams. Drive continuous improvement across global logistics processes, systems, and documentation. Operational Responsibilities Oversee global freight bookings and import / export documentation where central coordination is required. Support regional teams in resolving logistics bottlenecks, supplier delivery issues, and cross-site material transfers. Maintain global visibility of inbound shipments, inventory positioning, and material readiness. Support SAP (S/4HANA) logistics and MRP-related activities, ensuring accurate data flow and system utilisation. Coordinate logistics for prototype builds, engineering trials, and production ramp-up activities. Provide hands-on support during urgent shipments, escalations, and time-critical logistics events. Leadership Responsibilities Build and scale the global logistics capability as Humanoid grows. Lead, coach, and develop a small but expanding team within the WILP pillar. Set clear objectives, KPIs, and performance expectations aligned to global standards. Foster a high-performance, collaborative, and continuous-improvement culture. Act as a senior escalation point for regional logistics. Deputise for the Senior Manager - WILP when required. What We're Looking For Experience & Qualifications 10+ years of logistics, transportation, or supply chain leadership experience in manufacturing, robotics, technology, automotive, or aerospace. Proven experience managing global freight, customs, and cross-border logistics operations. Experience working across KSA, North America, and Europe (highly desirable). Strong understanding of import / export regulations, customs classifications, and trade compliance (including EAR). Experience in fast-paced, engineering-driven environments or high-growth startups. Degree or Masters in Supply Chain, Logistics, Business, Engineering, or related field. Experience with SAP (S/4HANA preferred) and MRP/ERP systems. Strong analytical, numerical, and planning capabilities. Technical Skills Proficient in Google Workspace, Slack, and database management. Experience with MRP/ERP systems; SAP 4Hana highly desirable. Strong understanding of logistics SLAs, carrier performance frameworks, and 3PL/4PL service agreements. Ability to translate Engineering language into commercial arrangements. Strong analytical, numerical, and planning capabilities. Deep understanding of global logistics operations, freight optimisation, and 3PL management. Knowledge of customs processes, Carnets, HS codes, duties, and export controls. Ability to interpret engineering requirements and translate them into logistics solutions. Familiarity with inventory visibility, material flow, and planning constraints (supporting role). Strong capability in data analysis, forecasting, and KPI development. Soft Skills Excellent stakeholder management and influencing skills across global teams. Highly organised, adaptable, and comfortable operating in a fast-paced startup environment. Strong problem-solving skills with a proactive, hands-on mindset when required. Professional, motivated, and able to operate autonomously with minimal oversight. Able to balance strategic thinking with tactical execution. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-NewYear shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at Welcome to the Pathogen Program: Within this ecosystem, the Pathogen Program exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. The database will comprise >400,00 paired high-quality long read sequences with comprehensive antimicrobial susceptibility profiles. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Program is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: We are looking for a Senior Scientist with expertise in AMR genomics to join the Pathogen Program. This is a predominantly desk-based role working collaboratively across teams within the Pathogen Program to provide expert input on a range of AMR related tasks and topics. You will curate expert rules for interpretation of AMR genotypic data, provide domain-specific analysis and support for genome sequence and AST data generated by the laboratory, provide expert advice for AST testing and investigate putative novel mechanisms of resistance. This is an excellent opportunity for an enthusiastic individual with a passion for AMR and strong domain-specific knowledge to contribute to an ambitious program of work aiming to revolutionise pathogen diagnostics. Key Responsibilities: Provide expert knowledge and input into research and operational activities involving antimicrobials and AMR. Develop expert rules for prediction of antimicrobial phenotype from genotypic information. Curate catalogues of antimicrobial resistance loci, such as AMRFinderPlus output. Contribute to design and quality assurance of antimicrobial susceptibility testing. Review paired antimicrobial susceptibility and whole genome sequence data to identify possible anomalies or areas for further investigation. Review existing MIC data and identify priorities for further testing or re-testing. Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets. Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype. Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning models. Collaborate with laboratory scientists to produce and evaluate datasets for identification of AMR genes and prediction of antimicrobial susceptibility from metagenomic data. Liaise with key internal and external stakeholders involved in EIT's AMR-related activities. Opportunity to conduct laboratory research to generate datasets for identification of AMR genes and prediction of antimicrobial susceptibility from metagenomic data. Opportunity to contribute to laboratory research investigating putative novel antimicrobial resistance loci. Keep up with the latest literature relevant to the field. Keep excellent records of work performed. Analyse and summarise data, and present data and results at internal or external meetings as required. Essential Knowledge, Skills, and Experience: A PhD degree in a relevant scientific discipline (e.g. microbiology, molecular microbiology clinical biology biochemistry). over 2 years of post-doctoral research experience. Significant research experience in antimicrobial resistance. Significant experience working with and interpreting genomic data from bacteria. Strong data analysis skills and familiarity with data analysis packages such as R. Good communication skills. Excellent record-keeping and attention to detail. Strong IT skills and experience using spreadsheets, word processing and presentation software. Desirable Knowledge, Skills, and Experience: Research experience in AMR genomics Research experience with plasmids or other mobile genetic elements Basic bioinformatic skills Microbiology and/or molecular biology laboratory skills Familiarity with metagenomic workflows and data Experience working with nanopore sequencing Previous experience of using Confluence, Jira, Lucidchart or other similar reporting and project management tools Key Attributes: Enthusiastic and proactive individual with a "can-do" attitude. Ability to work effectively in a high-growth, fast-paced, dynamic environment. Ability to work independently and prioritise tasks. Collaborative team-player, able to work well within multi-disciplinary teams. Excellent oral and written communication skills, interpersonal skills, and the ability to work with a wide range of people from diverse backgrounds. Ability to effectively communicate across scientific domains. Good problem-solving skills. Highly organised, with excellent time management and prioritisation abilities. Benefits We offer the following salary and benefits: Travel Allowance Bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). Hybrid working

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds we're looking for reliability-minded software engineers and SREs. Are curious and brave comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills you'll be partnering across the entire company. Bring diverse experience the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary £325,000-£390,000 GBP Logistics Education requirements We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit directly for confirmed position openings. How We're Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage Learn about our policy for using AI in our application process

Overview The Infrastructure Architect will design, optimize, and manage enterprise IT infrastructure across Compute (AIX/Linux, Windows/VMware), Storage, and Network domains with a strong focus on capacity planning, performance engineering, and operational resilience. The role supports large scale enterprise environments, ensuring high availability, scalability, and performance across all infrastructure layers. Key Responsibilities Infrastructure Architecture & Design - Define and maintain end to end architecture across compute, storage, and network; provide scalable, resilient, and secure platform solutions; and ensure alignment with enterprise standards and configuration management practices. Capacity Planning & Management - Forecast capacity for compute, storage, and network; analyze trends for CPU, memory, storage IO, and network utilization; recommend and implement capacity optimization; collaborate with application, database, and infrastructure teams. Performance Engineering & Optimization - Lead performance analysis and tuning across AIX/Linux/Windows and VMware environments; identify bottlenecks in CPU, memory, disk IO, and network throughput; drive proactive performance improvement initiatives. Compute Platform Leadership - Oversee AIX (POWER, LPAR, PowerVC), Windows Server & Active Directory, and VMware infrastructure lifecycle; support OS monitoring, patching, lifecycle management, VM provisioning, decommissioning, and performance tuning. Storage & Backup Architecture - Design and manage SAN/NAS storage environments; optimize storage performance (IOPS, throughput, latency); lead backup/recovery strategy and disaster recovery alignment. Network Architecture & Integration - Define and review data center networking, routing/switching, and connectivity between compute, storage, and application layers; work closely with network architects for performance troubleshooting. Monitoring, Automation & Reliability - Implement and enhance monitoring solutions for infrastructure health; drive automation for provisioning, capacity reporting, and performance tuning; improve observability across the infrastructure stack. Incident, Problem & Change Management - Lead resolution of complex L2/L3 infrastructure issues; conduct root cause analysis; work within ITIL processes (Incident, Problem, Change). Disaster Recovery & High Availability - Design DR/HA solutions for critical infrastructure; validate DR drills and ensure readiness for failover scenarios. Required Skills & Experience Compute: IBM AIX (LPAR, Power systems, PowerVC), Linux (RHEL), Windows Server & AD. Virtualization: VMware vSphere, ESXi, vCenter, HA, DRS. Storage & Backup: SAN/NAS, replication, backup solutions. Networking: LAN/WAN, routing/switching, DC networking. Monitoring & Tools: Infrastructure monitoring, alerting tools, performance tools. Functional Expertise: Capacity planning & trending, performance analysis & tuning, infrastructure optimization, ITIL process awareness. Experience: 10-15+ years in infrastructure architecture/engineering within large enterprise, multi DC, hybrid environments. Soft Skills: Strong stakeholder management across storage, network, and apps teams; excellent problem solving and analytical skills; ability to lead design discussions and technical governance. Employment Information All aspects of the hiring process and employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Job Title: Tech Lead - Integrations Reporting To: Group Engineering Manager Location: Remote working / Occasional travel to Bournemouth & Bristol Job Type: Full Time, 37.5 hours a week Our Purpose Nourish Care provides a digital solution to the health and social care sector which improves the process of recording, analysing, and sharing of information. We seek to enhance and simplify care in equal measures; to harness the power of care management software to improve the lives of people who need care and those who provide it. We are in the midst of one of the most exciting times in our history and while we are the current market leader in the sector, we will not be complacent. We are dedicated to our purpose of a better life for everyone. We continue to revolutionise the care sector and our incredible employees are what make this possible. About the Job We are looking for an experienced Tech Lead to lead our Integrations Team. This role combines hands on technical leadership with people management and architectural ownership. You will be accountable for the technical direction, delivery quality, and ongoing evolution of our Integrations layer, which synchronises data between our rostering and care delivery platforms and integrates those systems with third party partners. This is a true Tech Lead role with a 70/30 split between hands on development and leadership responsibilities. What You'll Be Accountable For Owning the technical direction and architecture of the Integrations platform Making pragmatic technical decisions and trade offs with scalability, performance, and maintainability in mind Ensuring non functional requirements are met (reliability, observability, resilience, performance) Delivery & Quality Leading by example through hands on development and high quality code contributions Ensuring consistent engineering standards through code reviews, testing, and automation Working closely with Product Management to translate requirements into robust technical solutions Acting as the technical escalation point for the squad People Leadership Line managing four developers, including performance management and career development Coaching and mentoring engineers to grow their technical and professional capabilities Supporting hiring, onboarding, and team growth where required Fostering a collaborative, inclusive, and high performing team culture Our Development Culture Product focused agile environment using Scrum Strong emphasis on collaboration, pair programming, and code reviews Preference for clean, maintainable solutions over over engineering Engineers are involved in sprint planning, stand ups, and retrospectives Continuous learning is actively supported through books, courses, certifications, and other resources Shared responsibility for infrastructure, DevOps, and CI/CD depending on experience Technology Stack Backend: PHP (Symfony) and Python, MySQL/PostgreSQL Frontend: Vue.js (though most of the Integrations stack is headless) Infrastructure: AWS, Kubernetes CI/CD: GitHub Actions Our systems handle thousands of requests per minute and manage databases with hundreds of millions of records. We design and architect with scalability first principles, use caching extensively, and integrate with third party services. Required Experience Proven experience as a Tech Lead, Senior Engineer, or in a similar technical leadership role Strong experience building and maintaining API driven, backend systems Solid understanding of object oriented design and scalable architecture Experience working across the full stack in production systems Experience collaborating closely with Product and QA in agile teams Strong communication skills and a collaborative, pragmatic mindset Desirable Experience working with high throughput, data intensive platforms and pipelines Familiarity with regulated or complex domains (e.g. healthcare) Experience with Kubernetes and cloud native architectures Nourish Benefits 25 days basic annual leave, plus Bank Holidays Incremental leave benefit of 1 extra day per completed year of service, up to a maximum of 5 additional days (up to 30 days annual leave plus bank holidays for long standing employees) Extra paid day off for your birthday Paid days off for volunteering opportunities Private Medical Insurance Pension Referral Bonus Health and Wellbeing platform including access to 24/7 GP & 24/7 EAP Counselling and support Variable impact workouts Wellbeing videos including prompts for healthy behaviours Wellbeing, care and compassion leave policies Cycle to Work Scheme Career Development opportunities and regular reviews Recognition and Rewards Social Events throughout the year All positions at Nourish are subject to a satisfactory Enhanced Disclosure and Barring Service check, references and receipt of the appropriate Right to Work documents. Nourish is proud to be an equal opportunities employer and we actively seek and embrace differences in thinking, experience, ethnicity, age, gender, faith, personalities and styles. The different skills, experiences and backgrounds our employees bring to their roles creates a diverse and makes Nourish a special place to work.