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Select how often (in days) to receive an alert: Job Code: 12976 Country: GB City: London Skill Category: Global Markets Description Job Title: Quantitative Structurer - Platform & AI Corporate Title: Vice President / Executive Director Division: Global Markets Location: London Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit Business Overview The Global Markets Structuring team in EMEA delivers bespoke solutions for clients' hedging and investment requirements across fixed income asset classes - Rates, Foreign Exchange, Credit, and Hybrids. The team engages in end-to-end deal modelling that involves pricing of structured payoffs, suggesting and marketing trade ideas to sales/clients and preparing relevant documentation. Our client services cover both high-volume flow products and carefully tailored structured solutions. The Structuring Platform & AI group is a globally distributed team within Structuring, responsible for building end-to-end digital platforms that scale key structuring business verticals. With a client-centric focus and differentiated by innovation, these platforms deliver market-leading capabilities across the full product lifecycle - from pricing, booking, and risk management to trade idea generation and client servicing - leveraging modern engineering and AI to drive significant efficiency and scale across high-volume flow verticals. Position Specifications The candidate will join as a Strategist in the Structuring Platform & AI group based in London, UK. This is a revenue-aligned role with line of sight to client trades. Working closely with Product Structurers, Sales, Trading, and Quant teams, the candidate will bring modern engineering and AI capabilities to the structured products workflow. The role reports jointly to the Head of Structuring Strategists in Singapore and the GM EMEA Structuring Heads. The role is within a global team spread across Singapore, Mumbai & London. The role combines technical expertise with structured products awareness to design, build, and own autonomous platforms across primarily Rates, Credit and Currency product verticals. This role offers potential for self-motivated individuals to shape and lead Platform & AI functions across a high growth and focus platform, building domain expertise across multiple asset classes. Job Responsibilities Architect and deliver end-to-end digital platforms that scale Fixed Income structuring verticals, covering pricing, booking, lifecycle management, and client servicing Work alongside Product Structuring Specialists to understand payoff design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques - including RAG, agent architectures, and context engineering - to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development of production-grade applications with strong emphasis on system architecture, reliability, and integration with internal infrastructure Contribute to and leverage the global platform ecosystem, ensuring regional solutions align with global development standards and integrate seamlessly with existing capabilities across regions Collaborate with Sales, Trading, Quant, and Technology teams to identify opportunities for efficiency and scale across high-volume flow products Stay current with emerging technologies and industry trends, proactively proposing innovative solutions that strengthen the structuring franchise Job Requirements Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure Executive Director equivalent level of experience with a strong track record of building and owning production-grade, end-to-end software solutions Familiarity with structured products, derivatives, and preferably Structuring landscape; experience working alongside a Structuring desk, quantitative Strategists, or Desk quants is valued Working knowledge of modern AI and Generative AI frameworks and concepts - including RAG, agent architecture, context engineering, and orchestration tooling - ideally with applied experience in a financial context Strong analytical and problem-solving abilities with a commercial mindset and attention to detail Ability to communicate complex technical concepts clearly to both technical and business stakeholders Ability to work effectively in a fast-paced environment managing multiple stakeholders and conflicting priorities Desirable skills Experience in building platforms delivering structured products, including pricing and distribution Experience with quantitative modelling and derivatives pricing Hands-on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data visualisation tools (e.g., PowerBI, Tableau) and dashboard development Good creativity and lateral thinking skills with an entrepreneurial mindset Nomura Leadership Behaviours Explore Insights & Vision: Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future. Making Strategic Decisions: Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations. Inspire Entrepreneurship in People: Inspire team members through effective communication of ideas and motivate them to actively enhance productivity. Elevate Organizational Capability: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing. Inclusion: Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect). Right to Work The UK Government have taken steps to reduce net migration to the UK by limiting the number of overseas workers coming to the UK for employment. Please note that whilst we are able to consider applications from overseas workers from outside the UK (who require a Tier 2 Skilled Worker visa) we can only employ them if we can provide evidence that this is a genuine vacancy for a qualified role. Diversity & Inclusion Nomura is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all our employees. We do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation. If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us. Nomura is an Equal Opportunity Employer

Req ID: FEQ427R358 At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data and AI challenges. Digital native companies are born in the cloud and build data and AI products at their core, which makes them among the most technical and demanding buyers we work with. As a Senior Solutions Engineer on our Emerging Enterprise Digital Native team, you will win new logos across the UK & Ireland by proving, hands on, that the platform solves their hardest problems. You'll work with a collaborative, customer focused team that values innovation and creativity. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Partner with an Account Executive and a Senior Solutions Architect to win new digital native logos across your UK & Ireland territory, and own the technical win. Run hands on evaluations and proofs-of-concept that get founders, CTOs, and lead engineers excited. Show the Data Intelligence Platform working against their real data and workloads, not slideware. Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), machine learning, and Generative AI, and integrate cleanly with their existing cloud and open source stack. Move at start up speed: qualify quickly, prove value early, and land in a way that sets up expansion. Make the technical and commercial case against competing tools, including cloud data warehouses, open source stacks, and hyperscaler services. Demonstrate our Builder Culture and our principle of "show, not tell", supported by the latest AI tooling, to inspire customers on the art of the possible. Contribute to Databricks' technical community by developing customer facing collateral and joining workshops, hackathons, seminars, and meet ups. Develop technically and in pre sales, with the goal of operating independently as a Solutions Architect. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Emerging Enterprise / Digital Native Solutions Engineering team, which focuses on winning new digital native and high growth technology customers. This role is based in the London office, with regular collaboration across the UK&I region. Core Technical Qualifications: Hands on experience in technical pre sales, consultancy, or engineering, ideally with data native or high growth technology companies. Proficiency in a core programming language such as Python, SQL, Scala, or Java, and a willingness to learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine tuning, LLMOps). Experience with the modern data stack and open source data tooling, and with at least one major public cloud (AWS, Azure, or GCP). Hands on expertise in designing and delivering proofs of concept (PoCs). Enthusiasm for building with AI based development tooling such as Claude Code, Cursor, or Databricks Assistant / Genie. Pre Sales & Customer Facing Skills: Proven ability to engage customers in a technical sales capacity: building a narrative, challenging assumptions, finding the real pain, and driving to a clear, tangible outcome. Comfort communicating both technical and business value to diverse audiences, from engineers to founders and executives. A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Energized by a high velocity, new logo motion and comfortable with ambiguity rather than a fixed account set. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I for customer visits. Nice to Have: Experience selling to or working at start ups, scaleups, or ISVs. Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Applicant Privacy Notice

Assurance - FAAS - Finance Optimisation - Senior Manager - London, Reading or Manchester Location: London Other locations: Anywhere in Region At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity Are you an Accountant or Finance professional that enjoys solving complex problems using innovative and new solutions? The world around us is changing, through Generative AI transforming our daily work, and a changing macroeconomic climate. Our clients are going through significant change as a result of new compliance requirements, transformation and business needs. Our Finance Optimisation team within our Financial Accounting Advisory Services (FAAS) practice supports CFO and finance functions in navigating through and solving complex Accounting, Finance & Reporting challenges through better use of policies, processes, data and technology- enabling Finance functions to deliver value to the business. Your responsibilities We are recruiting for a Senior Manager within the team who leads on client relationships, leads diverse teams and is confident in navigating unstructured, changing dynamics and relishes the use of innovative new solutions and technologies in solving problems. Specific responsibilities include but are not limited to: Lead end-to-end delivery of projects (physical and virtual), assessing engagement risks and opportunities, driving the right outcomes for our clients Lead and manage client relationships and interactions, enabling and influencing strategic and operational decisions Lead on firm-wide campaigns and go-to-market initiatives including business development and pursuit activities for new and existing clients, developing the delivery of high-quality proposals Develop and present exceptional reports & presentations (PowerPoint, Word, etc.) for project deliverables, capturing problem statements and solutions/ recommendations for our clients Lead on internal financial, quality and risk management on client projects Lead your own and FAAS team's development of functional and technical skills by establishing a culture of highest performing teams and inclusive behaviours Create an environment that encourages and drives innovation based on experience with the client, market, service line, functional group and EY To qualify for the role, you must have: An accountancy qualification ("e.g.", ACA, CPA, ACCA, CIMA) or equivalent Financial Reporting and/or an Assurance/audit background Extensive experience working in assurance, consulting or transformational roles within Big 4, Consulting firms, and/or industry Experience in one or more of the below: Accounting, Finance and Reporting related processes gained through Big 4, Consulting or industry environment e.g.: Financial Close, Consolidation and Reporting Experience in Business and Finance Transformation & Change programmes; managing senior stakeholders across Finance and the business, identifying improvement/optimisation opportunities, enabling and influencing client decision-making Process, Risks and Controls design, implementation and testing experience over Financial, Operational and Reporting processes using leading practice frameworks (e.g. COSO, SOx) Data analytics, including utilisation of technology to be able to automate extraction, preparation and presentation of information to present to senior stakeholders, including use of data warehousing, ETL and visualisation solutions Finance systems application design, build and implementation e.g., ERP (e.g., SAP, Oracle), EPM (e.g., SAC, CCH Tagetik) and/or other reporting automation solutions (e.g., BlackLine) Other relevant experience may include whilst not limited to: Accounting and Regulatory change (e.g., Corporate Reform, SOx) Experience of Finance Data and architecture including general ledger, subledgers, master data structures, data objects etc. Experience of wider finance related processes including elements within Order-to-Cash (O2C), Procure-to-Pay (P2P) and Financial Planning & Analysis (FP&A) Experience of non-financial reporting, including ESG reporting and relevant regulatory frameworks Internal finance function experience in Financial Reporting roles What we look for We're interested in leaders with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you'll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you're serious about your career with us and ready to take on some of our clients' most complex issues, this role is for you. What we offer EY is committed to being an inclusive employer and we will consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career. Our client-facing professionals are required to travel regularly, and at times be based at client sites. We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate your career Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact. Transformative leadership:We'll give youtheinsights, coaching and confidence to be a leader. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. The exceptional EY experience. Shape your future with confidence! Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters! EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

The Opportunity We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays. Who you are You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling. You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators. You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale. You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics. You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently. What sets you apart You have experience in computational biology or protein design. You have worked on ML-driven projects in biology. You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields. Your Responsibilities Build machine learning models that work in the physical world 90% of your time : Contribute to a careful curation of our training and evaluation data. Propose and build ML evaluation metrics that align with real world success and company goals. Quickly prototype generative models against our lead metrics and perform deep analyses of improvements. Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards. Contribute to the maintenance of our compute and ML development infrastructure. In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab. Quickly learn from wet lab results and feedback data to our models. Self development 10% of your time : Stay on top of the latest developments in ML. Gain a strong working understanding of protein and cell biology. Participate in knowledge sharing, e.g. organize and present at our internal reading group. Attend and present at conferences. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension/401(K) contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

AI Chopping Block is looking for a skilled machine learning researcher in Greater London to join their innovative team. This role involves architecting generative models aimed at designing proteins for wet lab assays. Candidates are expected to have strong backgrounds in ML, experience with notable projects, and familiarity with data engineering tasks. A competitive compensation package, including private health insurance, pension contributions, and generous leave policies, will be offered, along with a dynamic and impactful working environment.

AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Principal Research Scientist - Frontier Industrial AI Location: Cambridge/ London, UK, All EMEA, (hybrid) Organization: AVEVA CT AI Research Role type: Individual contributor The role AVEVA's frontier AI research team, as part of the Chief Technologist Organization, focuses on developing the next generation of industrial intelligence. We are looking for exceptional researchers who combine original thinking with the ability to turn ambitious ideas into working systems. You will define and pursue high-impact research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways to move difficult initiatives forward. What you will do Define and lead ambitious research initiatives in frontier industrial AI. Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI. Partner with leading AI labs, universities, and technology organizations. Take research from initial hypothesis through prototype and validation. Help shape AVEVA's longer term AI research direction and technical strategy. What we are looking for A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field. Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions. Strong hands on ability in AI experimentation and software development. Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure. Deep expertise in one or more areas such as foundation models, multimodal learning, time series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation. Strong scientific judgment and the ability to design rigorous experiments and communicate results clearly. High agency, intellectual curiosity, and a constructive problem solving mindset. Ability to collaborate across research, engineering, product, and teams. Preferred qualifications Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data, or industrial time series. A track record of initiating and advancing research projects with limited supervision. Exceptional recent PhD graduates with a strong research record are encouraged to apply. UK Benefits include: Flexible benefits fund emergency leave days adoption leave 28 days annual leave (plus bank holidays) pension life cover private medical insurance parental leave education assistance program It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on site 50% of your working hours to support collaboration and connection. Some positions are fully office based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: Find out more: AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis. Empowering you with pioneering tech AVEVA is a global leader in industrial software. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.

BlackRock is seeking a senior software engineer to lead the AI Labs production systems, driving architectural decisions and delivering scalable AI platforms. You will design, deploy, and operate AI/ML systems across generative AI, agents, and optimization, collaborating with cross-functional teams. Applicants should have extensive Python expertise, 6+ years in AI/ML in production, and experience with APIs, data pipelines, and distributed systems.

About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefinewhat'spossible in asset management. Today, AI is reshaping every aspect of our industry, from investments and client experiences to operations, risk management, and product innovation. BlackRock AI Labs sits at the center of that transformation. AI Labs is BlackRock's advanced AIscience andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets AI Labs apart is our ability to move from idea toimpact. We are not a research lab detached from the business, nor are we a traditional software engineering organization. We are a hybrid team ofscientists andengineers who build solutions thatrun at scale inproduction environmentsandcreate capacity for our business partners.From AI-powered investment insights and risk management solutions to next-generation agentic workflows and enterprise AI platforms, our workis helping toshape the future of BlackRock. Our teams work on some of the firm'shighest prioritystrategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,establishtechnical standards, and enable teams throughout the organization to adopt AI safely, effectively, and at scale. AI Labs has offices in New York, Edinburgh, Atlanta,San Franciscoand Seattle. We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. In this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm. Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact. Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications. Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoing operation. Establish engineering standards, mentor engineers, and influence technical strategy across teams. The minimum requirements for this position are: 12+ years of software engineering experience, including significant experience designing, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ML applications. Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Demonstrated ability to lead complex technical solutions from architecture and design through production deployment, operation, and continuous improvement. Strong problem-solving, collaboration, and communication skills, with the ability to influence technical decisions across multidisciplinary teams. Additional knowledge and experience we value includes: Experience collaborating with research teams in fast-moving environments, ideating quickly on research prototypes. Generative AI, large language models, AI agents, and architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability, and cost. Responsible AI, security, governance, and controls in enterprise or regulated environments. Experience with a systems- or performance-oriented programming language such as Rust, C++, C, Go, or Zig. Experience in financial services or another regulated industry. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok. BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law. Company: BlackRock Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, Predictive Analytics, United Kingdom

Octopus Energy is all about clean, green energy with transparent pricing and a relentless commitment to customer experience. Key Responsibilities Technical Leadership Lead the design, development, and deployment of production-grade agentic workflows and multi-model architectures Stay across the latest advancements in AI and machine learning to ensure we stay at the forefront of technology Oversee the technical architecture and ensure scalability, reliability, and security of AI systems Drive LLMOps best practices, focusing on model evaluation, hallucination mitigation, data privacy, and token cost optimisation. Strategic Management Develop and execute a strategic roadmap for AI initiatives aligned with the company's goals alongside our technology and strategy teams Identify and manage strategic partnerships with technology providers, research labs, and other stakeholders Evaluate and integrate third-party AI services and solutions, as needed Communicate complex AI concepts to non-technical stakeholders to facilitate understanding and decision making Build, lead and mentor a high performing AI team Oversee the planning, execution, and delivery of strategic AI projects Ensure the foundations of our AI solutions are robust Requirements Hands-on GenAI builder Experience moving GenAI from proof-of-concept to scaled, production-grade systems that drive measurable impact A deep technical understanding of the problems being solved, with the ability to go hands-on if required Note: this experience could be from delivering a transformational product at an enterprise, or developing innovative products at a startup Exceptional leader Proven leadership experience, with a track record of managing and developing high-performing teams A product-focused mindset with the ability to translate complex AI capabilities into user friendly experiences, including proven experience leading the direction of tool development The ability to both get into the nitty gritty with developers and translate complex concepts to non-technical audiences, as a plus enjoying doing technical talks at conferences Passionate about the future of AI Knowledge of AI ethics and the evolving regulatory landscape A close follower of the trends at the cutting edge of GenAI development & implementation

End Date Wednesday 02 September 2026 Salary Range £92,701 - £109,060 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Lead Data & AI Scientist SALARY:£92,701 - £108,000 LOCATION(S): Manchester HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at one of our office sites. About this opportunity Do you want to shape how AI, machine learning and agentic technologies improve the financial wellbeing of millions of customers? As a Senior Lead Data Scientist and AI & Machine Learning Engineer within our Financial Wellbeing Platform, you'll play a leading role in defining and delivering innovative AI solutions that help colleagues and customers make better financial decisions. You'll work across predictive AI, generative AI and intelligent agent technologies, combining deep technical expertise with strategic leadership to deliver solutions safely, responsibly and at scale! You'll help define our AI capability roadmap, influence technical direction across multiple teams and support the growth of data science and AI engineering capability across the Platform! This is an opportunity to work with talented colleagues, solve meaningful problems and influence how AI is applied at enterprise scale. You'll join a collaborative environment where learning, innovation and continuous improvement are encouraged, and where you'll have the opportunity to make a genuine impact through your work. In this role, you'll: Lead the design, development and optimisation of AI and machine learning solutions that address complex business challenges. Own delivery across the end-to-end AI lifecycle, from experimentation and model development through to deployment, monitoring and continuous improvement. Provide technical leadership across large, multi-team programmes, helping teams make sound engineering and architectural decisions. Partner with product, engineering, data and business teams to deliver scalable AI-powered products and services. Embed responsible AI, governance and risk management practices throughout development and deployment activities. Coach and develop data scientists and AI engineers, supporting capability growth and knowledge sharing across the wider organisation. Why Lloyds Banking Group? Like the modern Britain we serve, we're evolving. Investing in our people, data and technology to transform how we support customers and communities. We're growing our AI and machine learning capability to help shape the future of financial services. What you'll need We're looking for someone who combines advanced data science expertise with software engineering capability and technical leadership experience. Specifically, we're interested in: Data Science: Extensive experience developing, tuning and evaluating machine learning models and AI solutions in production environments. Machine Learning: Deep understanding of modern machine learning techniques, model deployment, monitoring and optimisation practices. Software Engineering: Strong capability building production-ready services using Python, SQL and modern engineering practices, including APIs, event-driven architectures and microservices. Technology Leadership: Experience providing technical leadership across complex, multi-team deliveries, influencing strategy and enabling high-quality outcomes. Critical Thinking: Ability to solve complex problems, analyse information effectively and make informed decisions in ambiguous environments. Stakeholder Management: Ability to communicate technical concepts clearly and build effective partnerships across engineering, product and business stakeholders. These requirements reflect the role's focus on AI delivery, technical leadership, software engineering, machine learning and enterprise-scale data science capability. And any experience of this would be really useful. Building agentic AI solutions, LLM-powered applications and retrieval-augmented generation (RAG) architectures. Experience with Vertex AI Agent Builder, Agentspace, LangGraph or multi-agent frameworks. Knowledge of responsible AI, model governance and risk management practices within regulated environments. Experience working within financial services or other highly regulated industries. Exposure to Azure, AWS or multi-cloud environments. Building technical communities, mentoring programmes or engineering guilds. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We're committed to creating an environment where everyone can thrive, learn and develop. We welcome applications from people with a broad range of backgrounds, experiences and perspectives. We provide reasonable adjustments throughout the recruitment process and in the workplace to reduce or remove barriers. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health condition or neurodivergent condition through the Disability Confident Scheme. If you need any adjustments during the recruitment process, please let us know. Benefits A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can help shape the future of AI in financial services while learning, growing and making a positive impact? About Lloyds Banking Group At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.

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