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End Date Thursday 13 August 2026 Salary Range £61,344 - £68,160 Job Title: Senior UX Designer - 12 Month FTC Grade: Grade E SALARY: £61,344 - £68,160 LOCATION(S): Edinburgh HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing We're looking for someone who can work collaboratively alongside a full design team and take full ownership of their design output. They will be confident when presenting their work to collaborators, and able to adapt designs to reflect their feedback and feedback from user research and usability testing. Skilfully craft the end-to-end user experience, bringing together a cohesive journey step by step, creatively using components from a central design system to figure out the right balance of content and UI (User Interface) elements on screen Bring designs to life with a choice of prototyping software, such as Sketch / InVision / Figma / Axure / Adobe XD Balance business requirements with user needs - you'll be gathering user research and rationale to align customers on individual user needs. You'll know when to diplomatically push back, if necessary, to act on what's right for the customer Be adaptable to the technical constraints of different platforms yet still be able to give guidance on creating the best possible end user experience Advocate customer inclusion - what it means to make an inclusive and accessible design to be used by customers of a wide range of ages, backgrounds and technical abilities Why join us? We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. What we're looking for? A minimum 5 years experience within User Experience design/Interaction Design Strong experience as an Interaction Designer, UX Designer (or possibly from a Visual Design background). Agentic AI experience is highly beneficial Full ownership of the Interaction Design project Excellent prototyping and layout skills which they can articulate clearly to internal customers and development teams Comfortable using existing design systems, proactively recommending new ways to improve and extend them to benefit both the project and other designers Ability to interpret quantitative and qualitative research, and how this informs the interaction design process. We have dedicated user research teams supporting designers on real data, providing a great wealth of customer insights. Familiarity working in a complex landscape - ideally, you'll have experience in financial services Strong ability to see designs through to delivery - communicating with developers to ensure designs meet specifications and can be used by a broad range of users of all backgrounds, ages and abilities We also offer a wide-ranging benefits package, which includes: 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 We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. Flexible Working Options We support flexible working - Flexible Working Options Hybrid Working Job Share 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. 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.

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. As a Sr. Network Engineer, you will be a member of the Network Engineering team. You'll work as part of a tight-knight team responsible for planning, implementing, and supporting technical solutions across enterprise, cloud and trading environments. This role requires deep technical, operational, and communication skills to deliver results across the trading platform. What You'll Do Design, implement, operate, and support CTC's global network infrastructure Collaborate with traders, developers, operations teams, technologists, and management to deliver high-quality network solutions to real-world problems Take a data driven approach to analyzing and solving complex network infrastructure issues Guide projects from beginning to end, including design, procurement, implementation, and documentation Use automation to improve efficiency and manage the network at scale Enhance monitoring and alerting for network and application performance Participate in an on-call rotation with the team for off-hours support. Other duties as assigned or needed. What we're looking for Extensive experience supporting a large-scale, global Network with hands-on experience in low-latency architecture Deep knowledge of low-level network debugging, with a track record of solving performance issues Deep understanding of TCP/IP & Ethernet networking including unicast and multicast routing protocols Strong problem-solving under pressure and a collaborative, customer-service mindset; financial trading industry experience preferred Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need. We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous time off, insurance coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, and a variety of other benefits focused on providing the best employee experience. (Disclaimer: interns and contractors are not eligible for benefits at CTC) Our Commitment to Diversity, Equity and Inclusion At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at . Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response. Use of Artificial Intelligence (AI) Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution, because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research, designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role G-Research is investing in how we apply large language models (LLMs) and other Natural Language Processing (NLP) techniques across the firm. We are looking for an exceptional NLP Performance Engineer to join our NLP Engineering team and take ownership of large-scale LLM inference performance. This is a specialist Quantitative Developer role. Like all our Quantitative Developers, you will work alongside researchers to bring their ideas to life, with a particular focus on maximising the performance of LLMs. This is a hands on, high impact role. You will design and implement techniques that improve the performance, cost efficiency and capabilities of inference workloads on cutting edge compute infrastructure, enabling researchers and engineers to make the best use of current and future systems. Working closely with research teams and infrastructure engineers, you will profile and analyse workloads, eliminate bottlenecks and develop reference solutions. Your work will help shape the tooling and infrastructure that underpins our NLP capabilities. Key responsibilities of the role include: Profiling, benchmarking and optimising large-scale LLM inference workloads across our compute infrastructure Ensuring efficient deployment of the latest models across a range of GPU architectures, adapting the inference stack as hardware evolves Designing and implementing inference optimisations while maintaining output quality Developing reference implementations, libraries and tooling to improve the efficiency and reliability of NLP workloads Collaborating with researchers, senior stakeholders and engineers to design optimised solutions Working with systems, architecture and platform teams to evolve the compute stack and influence long term platform decisions Who are we looking for? We're looking for an engineer who combines deep knowledge of LLM inference with strong software engineering skills and a scientific approach to performance. The ideal candidate will have the following skills and experience: A Bachelor's, Master's or PhD in computer science, or equivalent experience Proven experience profiling, benchmarking and optimising large-scale LLM inference workloads A scientific, evidence led approach to performance optimisation, using rigorous benchmarking and reproducible measurement Deep understanding of transformer inference, including prefill versus decode, KV cache behaviour, attention variants and performance bottlenecks Hands on experience with LLM serving frameworks such as vLLM, SGLang, TensorRT LLM or TGI, and the PyTorch ecosystem Experience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architectures Strong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloads Strong communication skills, with the ability to collaborate across research, infrastructure and engineering teams Why join us? Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle-to-work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a FPGA Intern, you will build advanced trading applications leveraging cutting edge technology. DRW enables our FPGA Interns to develop a real world trading centric FPGA application under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW's progress, your evenings will be spent exploring the city with organized social events to truly discover what it is like to live and work in London. How you will make an impact Design, develop, test, and deploy proprietary FPGA solutions. Examples include creating: Decoders to receive raw packet data from various exchanges and translate it into a more accessible form. Modules which take decoded data and trigger events for specific instruments traded on that exchange. Novel FPGA architectures to expand our data processing capabilities. Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner. Conduct robust research using all available resources to determine the best solution. Collaborate with software developers, quantitative traders, and researchers as well as business analysts in cross functional team environments. What you bring to the team Are pursuing a Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, Computer Engineering, Physics, Mathematics, Machine Learning, or any related science discipline and have an expected graduation date between December 2027 and June 2028. Have exposure to the FPGA development flow. Have strong understanding of data structures, and algorithms. An eagerness to learn and apply what you have learned, and to know the impact of your code. Have strong problem solving and analytical reasoning skills. Have strong communication and collaboration skills. Exhibit excellent development skills in System Verilog, Verilog or VHDL and have a working knowledge of C++ or Python and a deep curiosity to learn and absorb new technologies quickly. What to expect during the internship Meaningful projects: You'll receive a challenging project to complete during your time here. Each project, advised by a hardware engineer, promotes a comprehensive learning experience and provides you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team building activities to foster friendship and camaraderie. Housing: DRW provides fully furnished apartments located close to the office -making your morning commute as easy as possible. Mentorship: You'll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading's future landscape, you will complete an options course framed from a developer's standpoint to help you visualize how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at

By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview Citi is looking for a Quantitative Developer to join the FX options quantitative development team, building and maintaining the pricing and risk infrastructure that powers the FX Options trading desk. In this role, you will sit at the intersection of software engineering and quantitative finance, translating complex mathematical models into robust, production-grade systems used by traders and structurers daily. This is an opportunity to make a direct and measurable impact on how FX Options are priced, risk-managed, and delivered at global scale. What you'll do Build and maintain analytics libraries that support real-time pricing and risk management for FX Options products. Design and implement quantitative pricing models using numerical techniques including Monte Carlo methods and partial differential equation solvers. Develop production software using C++ and Python, applying object-oriented design principles and performance optimisation techniques including hardware acceleration. Work closely with traders and structurers to translate business requirements into reliable, scalable quantitative systems. Collaborate with technology teams to integrate models into trading infrastructure. Partner with risk, compliance, legal, and finance teams to ensure quantitative systems meet governance and control standards. Apply sound risk awareness when contributing to business decisions, ensuring that model outputs and system behaviour align with the firm's risk and conduct standards. What we'll need from you Demonstrated software engineering ability in C++ and Python with practical experience. Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments. Ability to design and implement numerical schemes and solve analytical equations relevant to financial modelling. Familiarity with market data structures and how they are used in pricing and risk calculations. Understanding of quantitative methods and investment products at any level of depth, with a willingness to develop further in a trading environment. Clear and concise written and verbal communication skills, with the ability to explain technical concepts to non-technical partners. A bachelor's degree or equivalent experience in a relevant discipline such as mathematics, computer science, physics, or engineering. Beneficial Skills & Qualifications Exposure to FX Options or other derivatives products, including an understanding of how they are structured and traded. Experience working in a financial services environment alongside trading desks or quantitative research teams. Practical exposure to hardware acceleration techniques for performance-critical quantitative applications. What We Offer We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretionary annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. The Role We are seeking a Kubernetes engineer to join our London engineering team. In this role, you'll play a pivotal part in shaping the platforms that enable our research and trading teams to run cutting edge workloads at scale. You will be responsible for designing, building, and operating mature Kubernetes based infrastructure that is secure, resilient, and highly automated, ensuring it can support a wide range of demanding compute requirements. Our environment spans everything from GPU intensive machine learning model training to ultra low latency trading workloads, requiring meticulous attention to performance, reliability, and scalability. You'll work closely with researchers, engineers, and traders to deliver platforms that not only meet immediate needs but also anticipate future growth and innovation. Key Responsibilities Design and operate custom Kubernetes operators/controllers to automate infrastructure beyond off the shelf solutions. Guarantee multi tenant security and isolation, enforcing RBAC and policies with OPA/Gatekeeper. Engineer GitOps driven CI/CD pipelines (ArgoCD, FluxCD) for safe, auditable changes. Drive Infrastructure as Code practices with Terraform and Helm for reliable and repeatable builds. Heavily embed observability using Prometheus, Grafana, and OpenTelemetry to make systems measurable and reliable. Stay ahead of Kubernetes evolution by testing and adopting new versions and features early. Collaborate with teams across the business, refining requirements, challenging assumptions and prioritising developer experience. Contribute to an on call rotation, take ownership of incidents, solve problems openly and share responsibility in a no blame culture. Capture and share knowledge, writing clear runbooks, post mortems, and design documentation. Qualifications Strong Linux system engineering background. Great programming ability in Go or Python, ideally with experience building Kubernetes operators or controllers. Strong understanding of Kubernetes internals, including CRDs, RBAC, custom controllers and scheduler extensions. Hands on experience with Helm and GitOps workflows. Experience implementing multi tenant security controls in Kubernetes, including namespace isolation, network policies, and Open Policy Agent. Proven ability to troubleshoot complex performance and reliability issues across infrastructure and workloads. Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry to monitor cluster metrics and health. Great communication skills, with experience collaborating with internal platform users to gather feedback and deliver improvements. Experience writing and maintaining technical documentation, runbooks, and post incident reviews. Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 30 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. The role involves designing, building and operating large scale distributed platforms that power our research, trading and engineering teams across on premises and AWS environments, using technologies such as Spark, Trino, Kafka, ClickHouse and Airflow. Key Responsibilities Building, operating and scaling distributed analytics platforms across on premises and AWS environments Designing and implementing new platform features that enhance usability, scalability and the developer experience Collaborating with research, data and engineering teams to accelerate time to insight through modern analytics solutions Driving improvements in automation, observability and resilience across analytics services Evaluating and adopting emerging technologies such as AI assistants, data mesh and cloud native analytics solutions Defining SLAs, KPIs and monitoring strategies to ensure reliability, security and service excellence Participating in the out of hours rota to support critical systems Core Skills and Technologies Experience running distributed data and analytics systems at scale using tools such as Spark, Kafka, Trino or Airflow Strong Linux skills and proficiency in Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry Strong problem solving skills and a systematic approach to diagnosing and resolving issues Highly Desirable Skills Experience with streaming frameworks such as Flink, Kafka Streams and Kafka Connect Knowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data Catalog Exposure to DataOps practices and collaboration with Data Engineering teams Familiarity with GPU accelerated analytics using Spark with GPUs or RAPIDS Programming experience with Java, Scala, C#, Python or Go Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events Diversity and Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

Job Title: Business Analyst Location: London Reporting Line: Co-Managing Director Level for Referral Policy: Junior Who We Are Founded in 2002 as a pioneering hedge fund, Marble Bar has built its reputation on intellectual discipline, research, data-driven insight and a deep understanding of investment behaviours. Since its founding, the firm has helped portfolio managers identify repeatable processes within their investment practice and sustain their edge in constantly evolving markets. For over twenty years, we have successfully identified exceptional managers and created environments to help them generate durable returns. What We Do In 2016 we launched The Partners Business and opened our integrated architecture to independent hedge fund managers, supporting them initially as they navigate the fragile early stages of building their businesses. We are a shared operating system purpose built to support hedge fund managers at every stage of their lifecycle, from launch and early operational resilience to performance development, capital formation, and long-term scale. This has established Marble Bar as the leading home for exceptional managers wishing to create unique and independent investment firms with the freedom to focus on investing. Your Role This is a high-impact, multi-disciplinary position sitting at the intersection of financial modelling, commercial deal structuring and investment talent assessment. The successful candidate will work directly with senior leadership to strengthen the firm's analytical and decision-making infrastructure - both at the enterprise level and in support of Marble Bar's core activity of identifying, onboarding and growing the Partners Business. This is a generalist analytical role for someone who is equally comfortable building bottom-up operational models, structuring partnership economics and interrogating an investment manager's track record. Strong quantitative and programming skills, combined with the communication ability to present findings clearly to senior stakeholders, are essential. Your Key Areas of Impact Enterprise Financial & Operational Modelling Build and maintain bottom-up financial and operational models of the firm, incorporating headcount, cost, revenue and capacity assumptions Support improved budgeting, forecasting and objective-setting processes across the business Design and implement an activity-based costing framework, costing the use of central resources provided to each Partner Provide clear visibility into deal-level, cost-centre and partnership-level profitability Develop capacity and throughput models to assess operational infrastructure and support planning for portfolio growth Support the design of a KPI and OKR-driven performance monitoring system, establishing metrics that track progress against strategic objectives Partnership Deal Modelling & Structuring Build bespoke financial models to analyse and stress-test the economics of proposed partnership arrangements with new and existing Partners Model revenue share, fee structures, capital allocation and hurdle rate mechanics across a range of deal scenarios Produce clear deal summaries and scenario analyses to support Deal Committee presentations and internal investment decisions Maintain and develop a modelling framework that can be applied consistently across new partnership opportunities Work closely with senior leadership and legal to translate commercial terms into quantitative model assumptions Investment Talent Diligence & Assessment Conduct quantitative and qualitative due diligence on prospective Partner investment managers, assessing track records, investment strategy, alpha generation and risk profile Produce detailed performance analytics reviews within the Partners due diligence process, including strategy assessment, historical portfolio and trading history analysis Profile prospective Partners including assessment of expected returns, risk characteristics, capacity and optimal market environments for their strategies Develop and systematise analytical frameworks to assess track records with varying degrees of data completeness Identify initial areas of opportunity for portfolio management and trading behaviour improvement in prospective and existing Partners Data, Reporting & Analytics Infrastructure Build and maintain databases and structured datasets covering Partner Firm performance, deal economics and operational metrics Develop and automate reports, dashboards and presentations for senior management and Partner Firm stakeholders using Python and BI tools Work with developers and the risk/analytics team to continuously improve reporting capabilities and deliver novel analytical tools Support the IR and Capital Development teams with data and analytics outputs for investor due diligence processes What We Are Looking For Ability to deliver advanced financial and operational modelling, demonstrating bottom-up, scenario based and activity-based costing approaches Prior exposure to investment manager due diligence, fund analysis or alternative strategies (equities, credit, macro) Experience structuring or modelling commercial deals, partnership economics or fee arrangements Strong data management skills including SQL databases and structured data pipelines Proficiency in Python for data analysis, modelling automation and workflow scripting (Pandas, NumPy, SciPy) Exceptional communication skills and ability to present complex quantitative findings clearly to senior and non-technical audiences Strong organisational skills and ability to manage multiple workstreams with competing deadlines Familiarity with AI and natural language models is a plus The role is based in London with an expectation of 5 days per week in the office.

Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. Role The Observability Engineering Team manages the doors - both entry and exit - to the telemetry backends at G Research, ensuring our engineers can effectively produce and consume telemetry for their services. As an Observability Engineer, you'll help make observability seamless for developers and platform teams by building pipelines to ingest and route data in predictable, composable ways, as well as visualising that data after the fact. You'll have deep experience across observability stacks, a clear understanding of the unique problems that come with moving cloud level volumes of telemetry data at scale, and excitement at the prospect of ensuring our customers have eyes into the telemetry data to run their services as efficiently as possible. Key Responsibilities Extending and maintaining OpenTelemetry, including collectors, SDKs and exporters Building scalable telemetry pipelines Contributing to Golden Path SDKs and auto instrumentation Ensuring Kubernetes workloads are fully observable and resilient Embedding observability standards across platform and application teams Improving incident response with better telemetry coverage Providing external industry observability experience and input to our long term roadmap Participating in the out of hours on call rotation Qualifications Operating/onboarding SaaS Observability platforms at scale, such as DataDog, NewRelic, Dynatrace etc. Strong hands on experience with OpenTelemetry Familiarity with public cloud infrastructure, ideally AWS Proficiency in Kubernetes and DevOps tooling (Terraform, ArgoCD, Helm, Jenkins) Experience with metrics, logs and tracing backends Coding in Go, Python, or similar Industry background in Observability or SRE Desirable Experience Profiling (eBPF, Pixie, Parca) Synthetic monitoring, AI observability tools and Kafka Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events Inclusion Statement G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. Role The Colo Engineering and Performance team owns system level application performance in our colos. It provides developers with crucial insight and recommendations for improvement, as well as the information required to determine the most effective hardware and operating system configurations for each site. Key Responsibilities Develop high performance, low latency systems. Collaborate closely with quantitative researchers and developers. Design and optimise rapid trading systems end to end. Apply low level systems programming and optimisation using languages such as C, C++ or similar. Analyse and improve application performance using hardware counters and profiling tools. Qualifications Expertise in low level systems programming and optimisation for extremely low latency, high throughput network applications. Deep understanding of modern computer architecture including cache hierarchies of modern processors. Experience with fast packet processing in user space and familiarity with kernel bypass techniques such as Solarflare OpenOnload, TPCDirect, ef_vi, InfiniBand verbs, DPDK or similar. Experience optimising performance in managed runtime languages such as C# is desirable. Financial market knowledge is not required. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided via Just Eat for Business and dedicated barista bar. 35 days' annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle to work scheme. Monthly company events. EEO & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. If you have a disability or special need that requires accommodation, please let us know in the relevant section. At G Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

Senior Software Engineer, Cloud and Analytics Platform Join our development team and play a key role in our expanding Engineering Services function. You'll help enhance our innovative analytics and rapid delivery platform as we digitise and modernise the Commodities and Global Markets platforms and applications. Leveraging cutting edge technologies, you'll enable the business to scale and seize new opportunities with agility. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You'll combine hands on coding with thoughtful system design and a culture of continuous improvement to deliver resilient, highly scalable technology that keeps our Commodities and Global Markets business ahead of the curve. Leveraging best in class open source frameworks and cloud native services, you'll design, build and run the distributed compute and data science platform that powers Macquarie's trading and analytics workflows. Working side by side with quantitative analysts and trading desks worldwide, you'll transform research concepts into production ready solutions - automating infrastructure with Python, Java or Scala and embedding AI driven capabilities that boost developer productivity and unlock new insights. What you offer Hands on experience with public cloud platforms - ideally AWS - plus Kubernetes and infrastructure as code tooling (Terraform, CloudFormation, Helm or similar) A proven track record of designing, building and running production grade distributed compute or data science platforms Strong interpersonal and communication skills, with the confidence to partner directly with quantitative analysts, traders and other stakeholders A self motivated, inquisitive mindset and a methodical, agile approach to problem solving Solid Linux administration and networking skills, plus Git based workflows Familiarity with Apache Airflow, Dask and JupyterHub Experience with modern build systems (especially Bazel) and CI/CD pipelines. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Technology Technology enables every aspect of Macquarie, for our people, our customers and our communities. We're a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow's technology solutions. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a UX Researcher, Data Analyst & Optimization Specialist based in United Kingdom. This role sits at the intersection of UX research, data analytics, and digital optimization, helping teams make smarter decisions through evidence-based insights. You will transform user behavior data into actionable recommendations that improve customer experiences and business outcomes. The position combines quantitative analysis with qualitative research to uncover not only what users do, but why they behave that way. You will build journey maps, analyze conversion funnels, measure customer value, and support experimentation strategies. Working closely with UX, design, and development teams, you will help create impactful improvements across digital experiences. This opportunity is ideal for a data-driven researcher who enjoys solving complex problems and turning insights into measurable results. Accountabilities: Build and maintain detailed customer journey maps and conversion funnels across key user touchpoints. Analyze user behavior to identify friction points, drop off areas, and opportunities for improving digital experiences. Conduct quantitative analysis using tools such as Google Analytics 4, Shopify analytics, and related data platforms. Develop and maintain LTV cohort analyses to connect user experience improvements with long term customer value. Ensure data accuracy, reliability, and integrity when collecting, validating, and interpreting performance insights. Apply statistical principles to evaluate findings and ensure recommendations are supported by meaningful data. Plan and conduct qualitative research activities, including usability testing, heuristic evaluations, and user interviews. Combine qualitative and quantitative insights to create a complete understanding of user behavior. Create research artifacts such as user flows, journey maps, wireflows, and prototypes to communicate findings. Collaborate with developers to implement event tracking, improve measurement infrastructure, and maintain data visibility. Support GA4 funnel creation, custom event tracking, and ongoing tracking quality assurance. Contribute to A/B testing programs by defining hypotheses, measuring outcomes, and analyzing business impact. Evaluate the long term effects of UX changes on conversion, retention, and customer value. Develop clear reports, dashboards, and presentations that transform complex analysis into actionable recommendations. Partner with UX, design, development, and project teams to move insights into implemented improvements. Manage multiple projects and deliver research and analysis according to business priorities. Requirements: 4-7 years of experience in e-commerce, UX research, product analytics, data analysis, or similar fields. Strong experience with Google Analytics, Shopify ecosystems, and A/B testing platforms. Solid understanding of quantitative analysis, statistics, and data visualization techniques. Experience with journey mapping, funnel analysis, and LTV cohort analysis. Knowledge of experimentation best practices, including hypothesis development and test design. Strong understanding of user-centered design principles and design thinking methodologies. Ability to combine qualitative and quantitative research methods to solve complex problems. Experience creating reports, dashboards, and presentations that communicate insights effectively. Ability to create UX artifacts such as wireframes, prototypes, user flows, and wireflows. Experience collaborating with developers, designers, and project management teams. Strong problem solving skills with a structured and analytical approach. Excellent written and verbal communication skills. Ability to work independently while following strategic direction and managing multiple priorities. Experience working with multiple clients or projects in a fast paced environment is preferred. Benefits: Remote first work environment with flexibility. Comprehensive medical, dental, vision, disability, and life insurance coverage. Employer contributions to retirement savings plans. Employee assistance program. Generous paid time off starting at 20 days annually, plus holidays. Annual winter company shutdown between Christmas and New Year's for additional time to recharge. Paid parental leave. Company events, team activities, and retreats. Budget for professional development and continuing education. Competitive compensation aligned with experience, skills, and location.

Application Deadline September 1, 2026 at 11:59 pm EST Program Summary Data Science & Technology Internship Company Overview Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. This fully integrated platform has generated strong risk adjusted returns for our investors since our formation. Position Overview CCI is developing a leading edge Data Science platform, and a strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. The internship offers a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. The intern will analyze time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression based approaches. Assist in designing and implementing end to end data ingestion processes, ensuring seamless data flow to investing teams. Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis. Contribute to identifying and back testing new data sets, leveraging machine learning techniques to drive insights. Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence. Qualifications Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science, or a related technical field with a focus in Machine Learning. Expected graduation date of Winter 2027 or Spring/Summer 2028. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non technical backgrounds. Strong analytical skills with demonstrated attention to detail.

Application Deadline September 1, 2026 at 11:59 pm EST Program Summary Data Science & Technology Internship Company Overview Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. This fully integrated platform has generated strong risk adjusted returns for our investors since our formation. Position Overview CCI is developing a leading edge Data Science platform, and a strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. The internship offers a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. The intern will analyze time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression based approaches. Assist in designing and implementing end to end data ingestion processes, ensuring seamless data flow to investing teams. Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis. Contribute to identifying and back testing new data sets, leveraging machine learning techniques to drive insights. Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence. Qualifications Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science, or a related technical field with a focus in Machine Learning. Expected graduation date of Winter 2027 or Spring/Summer 2028. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non technical backgrounds. Strong analytical skills with demonstrated attention to detail.

The role of the Analytics Associate sits within the Hometrack Analytics and Consulting team based in our London head office. Analytics is a core function and centre of excellence within Hometrack. The wider team includes data analysts and analytics consultants, responsible for valuation and risk model innovation and development, product analytics and generating meaningful and actionable insights to be used by decision makers both internal and external. We aim to truly understand what drives property value, risk and housing market behaviours and make our research and insights accessible to our customers to drive change and improvement. Key Responsibilities Perform detailed analyses and statistical modelling of property and mortgage data Run and process valuations of property portfolios using Hometrack's AVM engine and assist with the analysis and risk modelling of its application Compile high quality reports, typically in a written format or slideware, of a quantitative nature, for mortgage lenders, housing associations and other Hometrack customers and partners Contribute to the development, assessment, and ongoing monitoring of the statistical performance of the Hometrack AVM and other models and services Build and maintain business intelligence tools (e.g., visualisation reports) to support the commercial and product teams Provide clear and accurate answers to client queries that require analytical input and/or support Provide support to the rest of the analytics team and wider organisation Requirements & Qualifications Bachelor's or Master's degree related to Statistics, Mathematics, Computer Science, Economics, etc. Excellent analytical skills with the ability to collect, organise, analyse and disseminate large sets of information with attention to detail and accuracy Excellent problem solving skills Excellent written and verbal communication skills Highly competent in using Excel Familiarity with computer coding languages such as SQL and/or Python is desired Familiarity with using data visualisation tools is desired What We Think It Takes to Excel as an Analytics Associate Passionate about analytics and keen interest in the UK property market and/or financial services Take pride in what you do and enjoy taking full ownership and responsibility of your work Can quickly learn technical competencies in Excel, SQL and Python Want to apply strong statistical skills to deliver results that matter Enjoy face to face interactions and want to engage directly with clients and colleagues to present analytical work Creative problem solver, team player, keenly attentive to detail and customer and outcome focussed Willing to learn, be challenged and challenge teammates, keeping the team's and business's objectives in mind Proactively share skills, knowledge and energy to achieve shared ambitions Attributes We Value Ability to learn quickly, adjust to changes and think outside the box Excellent time management and organisational skills Ability to build relationships with both colleagues and clients Confidence presenting data analysis to technical and non technical audiences Confidence interacting with clients and responding to their requirements/needs Natural curiosity to find better and simpler ways to tackle different tasks About Hometrack Hometrack is a leading provider of residential property market intelligence and valuation data. Founded in 1999, we are trusted by major mortgage lenders, house builders and government bodies as a source of fast, accurate and precise property information. Since launching our automated valuation model (AVM) in 2002, we have grown to be the market leader in AVM and now provide over 50 million automated valuations each year to lenders, investors, advisers, developers and housing associations, helping them decide where to invest and develop, what to lend on and how to optimise assets. Hometrack's clients account for 85% of the UK mortgage market. Benefits Flexible working days and extra days for years of service Day off for volunteering and Digital detox day Festive closure - business closed for Christmas and New Year period Cycle to work and electric car schemes Free Calm App membership Enhanced parental leave, fertility treatment financial support group, income protection and private medical insurance

End Date: Sunday 19 July 2026 • Salary Range: £61,344 - £68,160 • Location: Edinburgh This is a hybrid, full time, 12 month contract. Our work style is hybrid, requiring at least two days per week (40% of time) spent in the Edinburgh office. About this opportunity We're looking for an experienced User Experience Designer to join our team in Edinburgh. This role will define and enhance the journeys we create for our business customers, supporting them with the right products, tools and services. You will collaborate with a full design team, take full ownership of your design output, present to stakeholders, and adapt designs based on user research and usability testing. Role responsibilities Skillfully craft the end to end user experience, bringing together a cohesive journey step by step, creatively using components from a central design system to balance content and UI elements on screen. Bring designs to life with a choice of prototyping software, such as Sketch, InVision, Figma, Axure or Adobe XD. Balance business requirements with user needs-gather user research and rationale to align stakeholders on individual user needs. Know when to diplomatically push back, if necessary, to act on what's right for the customer. Be adaptable to technical constraints of different platforms while guiding the best possible end user experience. Advocate customer inclusion, ensuring designs are inclusive and accessible for users of a wide range of ages, backgrounds and technical abilities. We're looking for someone with: Demonstrable experience within User Experience design/Interaction Design. Strong experience as an Interaction Designer or UX Designer (or possibly from a visual design background). Full ownership of the Interaction Design project. Excellent prototyping and layout skills that can be articulated clearly to internal customers and development teams. Comfortable using existing design systems, proactively recommending ways to improve and extend them for both the project and other designers. Ability to interpret quantitative and qualitative research and apply insights to the interaction design process. Familiarity working in a complex landscape-ideally, experience in financial services. A collaborative mindset to work closely and quickly with a multi disciplinary team. Strong ability to see designs through to delivery, communicating with developers to ensure specifications are met and designs are usable by users of all backgrounds, ages and abilities. Strong advocacy of customer inclusivity and accessibility. Benefits A generous pension contribution of up to 15%. Discretionary annual performance related bonus. Share schemes, including free shares. Benefits you can adapt to your lifestyle, such as discounted shopping and 30 days' holiday plus bank holidays. A range of well being initiatives and generous parental leave policies. Inclusivity We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package and a dedicated Working with Cancer initiative. We're particularly welcoming of applications from under represented groups. We're disability confident. If you'd like reasonable adjustments to be made to our recruitment processes, just let us know.

As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting edge, production grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands on enough to solve complex engineering bottlenecks; you will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Experience AI Orchestration & Development: Expert level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.