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About Smartnumbers We are on a mission to stop fraud and improve customer authentication. Fraud is a huge problem affecting millions of people, it costs the UK near £7bn and represents 40% of all crime. Too often the solution has been to put in place cumbersome authentication processes that frustrate genuine customers, cause inefficiencies for organisations and fail to prevent fraud. We are changing this by providing organisations with real time insight into the risk of a caller. We combine patented machine learning technology with our deep domain knowledge to prevent contact centre fraud and streamline customer experience. We recognise that we need to work together to fight fraud, that is why we have fostered strategic partnerships with leading global organisations like BT, Genesys and Amazon. Together, we protect the UK's largest retail banks, investment banks and emergency services. What you'll be working on You will be part of a cross functional team, working across a variety of tasks from data science research and model development through to platform implementation and maintenance. You will use your knowledge of machine learning algorithms, frameworks, and methodologies to research and develop models for our cloud based authentication and fraud systems, continuously iterating and evaluating model performance using appropriate metrics. You will: Explore and visualise data to discover innovative features and potential data sources. Engineer datasets, develop data pipelines, perform feature engineering, and write code to train, deploy, monitor, and run real time inferences. Build and monitor ML models, addressing issues such as overfitting, underfitting, data leakage, and drift. Use your expertise in engineering and DevOps/MLOps to manage our machine learning platforms using AWS SageMaker and other AWS services. You will: Design, build, and improve scalable public cloud based machine learning platforms. Develop robust data pipelines and workflows, contributing to platform reliability, scalability, and observability through effective monitoring, alerting, and performance tuning. How you'll work All our teams are given the freedom and autonomy to pick their own technology stack based on their system's requirements and preferences. Our technology vision and strategy encourage you to try the latest innovations, and we naturally gravitate towards serverless architectures where appropriate. We value clean, maintainable and robust code for our business critical systems. Some of the technologies currently used by the Intelligence Group are listed below - while mastery of all these areas isn't required, familiarity with as many as possible will be advantageous. Cloud and Infrastructure Infrastructure as Code: Amazon CDK ML Platform: Amazon SageMaker (SageMaker Studio IDE, SageMaker Training / Processing / Pipeline / Endpoints, Feature Store, Model Registry, Model Monitor) Data Processing: Amazon Athena, Apache Iceberg, AWS Glue, Spark Machine Learning ML Frameworks: Scikit Learn, Hugging Face ML Algorithms: Tree based (XGBoost), Deep Learning Model Explainability: SHAP explanations Programming and Development Tools Python Data Processing Libraries, e.g. NumPy, Pandas, Matplotlib, Librosa SQL Source Control and CI/CD GitHub Docker CircleCI Telephony Protocols Session Initiation Protocol (SIP) Contact Centre as a Service (CCaaS), e.g. Amazon Connect, Genesys Cloud What you'll need for the role Smartnumbers values diversity of experience. Candidates should have a strong combination of several of the following skills, competencies and experience: We expect that you will have around 2-3 years' commercial experience across a range of platform engineering and data science responsibilities. The list below gives you an idea of the attributes you'll need, though we're not expecting you to have deep expertise across all aspects. Collaborative approach to working, preferring to discuss and brainstorm tasks with the rest of the team rather than working in isolation. Able to own tasks end to end, take responsibility for the quality of deliverables, and drive ML and MLOps best practices and tooling to consistently enhance our models and ML platform. More interested in finding good solutions, increasing knowledge, and communicating results than simply working fast or producing lots of code. Understanding of machine learning fundamentals: data analysis, feature engineering, algorithms, performance metrics, etc. Understanding of software engineering fundamentals: clean code, source control, SOLID principles, design patterns, refactoring, etc. Understanding of DevOps/MLOps practices: Infrastructure as Code, data pipelines, CI/CD, containerisation, orchestration/pipelines, system & model monitoring. Comfortable digging deep into either datasets or system logs to understand root causes or improve system performance. Proficient in Python, SQL, and data/ML frameworks like Pandas, Scikit Learn etc. Experience with ML techniques and strategies, such as classical ML, deep learning, clustering, ensembling, etc. Experience with MLOps techniques and building and maintaining scalable data pipelines and ML platforms. Experience with cloud services (preferably AWS) and infrastructure as Code (e.g. CDK, CloudFormation). Familiarity with security and data governance principles and practice. What we can offer you As well as a competitive salary of circa £55k per annum, we also offer a comprehensive benefits package, covering a variety of areas, both professional and personal. These benefits include: Hybrid working style, with the expectation of two days in the office (with a great City of London office base!) Family friendly benefits including paid parental leave policies An extensive health insurance policy for you, with an option to add your family members A workplace pension with Hargreaves Lansdown Life insurance of 4 your salary A discretionary annual bonus of up to 10% of your salary Weekly self development time to spend exploring your professional development interests 25 days of annual leave (plus bank holidays), your birthday off, and an opportunity to buy up to 5 days annual leave per year A holistic wellbeing support plan encompassing a variety of offerings to assist you. We provide you with a monthly £50 allowance to fund activities to best support your wellbeing as well as workshops and training to provide tools and guidance. Additionally, there is a wide range employee assistance programme available to advise on personal, family or financial matters and also fun social events during the year. The application process We have a simple 4 stage application process. The interview process will be: Screening interview with the hiring manager Take home coding assessment Technical and competency based interview Culture & values interviews with HR and bar raiser Smartnumbers is committed to promoting equal opportunities in employment. You will receive equal treatment regardless of age, disability, neurodiversity, gender, gender identity, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex and sexual orientation. We welcome all applications for this role. We are committed to providing reasonable support/adjustments in our recruiting processes. If you need support, please reach out to the hiring contact. Please see our privacy notice:

About Fable Data: Fable Data is a global consumer transaction data company. We aggregate anonymised consumer data from financial services businesses which we then enrich and productise to deliver high value data products to some of the world's leading retailers, investment managers, technology companies, governments, and advertising firms. Our data provides a near real-time view of the consumer economy, offering powerful insights into consumer behaviour, retailer performance and broader macroeconomic trends. About the Role: This is a newly created hybrid role combining MLOps, data engineering and data science. While not a deep platform engineering role, it gives you real hands on exposure to Fable's production pipelines before progressing into more specialised data science and product work. You'll start by shadowing platform BAU work to get under the hood of how Fable's pipelines and infrastructure actually run. The first few months are deliberately structured around learning the platform fundamentals which includes projects in cluster migration, tagging model changes, library and runtime support, and regression testing before moving into MLOps tasks proper and, typically within 9 12 months, into product facing data science work. You'll work closely with the Product & Data Platform Lead's team on platform and pipeline delivery, and collaborate with the Infrastructure Lead on data engineering and AI related projects. As you build platform fluency, the role is designed to flex towards product builds and partner onboarding, working alongside a senior product engineer as they shift more of their time towards AI and product work. Your line manager remains the Product & Data Platform Lead throughout, who will coordinate priorities across these collaborations. What good looks like: By month 4, you're comfortable navigating the platform and contributing to BAU tasks independently; by month 7, you're taking on MLOps work with light supervision; by month , you're contributing to product facing data science work alongside the senior product engineer. About You: Comfortable starting close to the platform: you're happy learning pipelines, infrastructure and BAU workflows in depth before moving into more specialised work. A natural bridge builder, equally comfortable in an engineering conversation about pipeline resilience and a data science conversation about model behaviour. Genuinely interested in MLOps - deployment, monitoring, regression testing and keeping models healthy in production - as a route into broader data science and product work. Strong attention to detail and comfortable working with ambiguity in a fast paced scale up environment. What you'll do: Shadow platform BAU tasks alongside the Product & Data Platform Lead's team to build a working understanding of Fable's pipelines and infrastructure. Support cluster migration work and tagging model changes. Contribute to library and runtime support, and regression testing across the platform. Take on core MLOps tasks, supporting model versioning, deployment and monitoring as you build platform fluency. Progress into more specialised data science and product facing work, paired with a senior product engineer, as the core team for upcoming product builds and partner onboarding. Contribute to future platform and AI related projects including patching framework improvements, runtime changes, and library updates working with the Platform/Infrastructure Lead. Help productionise data science work, bridging the Data Science Lead's team and the Product & Data Platform Lead's team as models move from notebook to deployment. Support monitoring of in life ML models, helping flag and triage production issues as they arise. Skills / knowledge: Essential 2+ years' experience working with large datasets in a professional setting, spanning data engineering and/or data science. Strong fundamentals in Python and SQL (Spark) for data engineering, analytics, and ML support tasks. Comfortable working with Git based development workflows, including pull requests, branching strategies, and collaborative code reviews. Working knowledge of data quality controls, schema evolution, and data governance best practices. Comfortable with data pipeline fundamentals: schema validation, data quality checks, and troubleshooting pipeline issues. Hands on experience with Spark/Databricks and a cloud platform (Azure preferred). Comfortable reading and reasoning about Jupyter notebooks, pandas/numpy code, and at least one ML library (e.g. scikit learn) at a conceptual level. Conceptual understanding of the ML lifecycle (train/test splits, evaluation metrics, overfitting) and of model versioning/experiment tracking tools (e.g. MLflow, Weights & Biases). Exposure to CI/CD concepts - able to read and reason about a .yml config and understand what a pipeline does, even without designing pipelines unsupervised. Desirable Experience supporting deployment and monitoring of ML models in production (MLOps). Experience with regression testing, library/runtime upgrades, or cluster migration work. Knowledge of or experience with Snowflake and data warehousing/data lake concepts. Familiarity with classification, time series, and/or natural language processing. Curiosity about how commercial and client facing requirements translate into data product decisions. We regret we are currently unable to provide visa sponsorship; please only apply if you have the right to work in the UK. Why Fable At Fable, we believe in continuous improvement and shared responsibility. You'll join a collaborative team that empowers you to take ownership of your work, experiment, and grow your skills. This is a unique opportunity to combine MLOps, data engineering and data science within a hybrid role, and have your work seen by some of the most influential organisations in the world. As your scope grows into product facing data science work, compensation is reviewed accordingly as part of our regular pay review cycle. By applying for this role, you acknowledge that we will process your personal information for recruitment purposes. This includes assessing your suitability for the role, communicating with you throughout the recruitment process, carrying out pre employment checks where applicable, and complying with our legal obligations. For details about how we collect, use, store, and share your personal data, your rights under UK data protection law, and how long we retain your information, please read our linked privacy policy and refer to the recruitment privacy notice. Privacy Policy Fable Data

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role The Big Data R&D team develops cutting edge big data and graph based solutions for entity search, entity resolution, and identity matching that power Socure's KYC and compliance products. As a Senior Data Scientist I, you will lead the design and deployment of advanced ML and graph algorithms on large-scale PII datasets, own end to end projects from problem definition through production validation, and serve as a key technical partner to Product, Engineering, and Client facing teams. You will help define standards for feature engineering, experimentation, and data quality across our identity graph stack, with substantial impact on coverage, accuracy, and fairness. What You'll Do Own the design, development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets. Architect and optimize graph-based identity representations (identity graph structure, linkage rules, clustering) to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models. Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments. Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout. Evaluate new internal and external data sources: explore signal quality, design backtests, quantify incremental value, and provide clear recommendations on vendor selection and integration. Partner closely with product managers and engineers to translate ambiguous business and regulatory requirements (e.g., KYC coverage, watchlist matching) into concrete modeling and data roadmaps. Provide deep analytical support to Socure's compliance and regulatory product suite, including investigative analyses, root cause analysis for anomalies, and clear narratives for internal and external stakeholders. Contribute to model governance and documentation: clearly explain model logic, data dependencies, limitations, and monitoring plans to internal risk/compliance stakeholders. Mentor junior data scientists and engineers on best practices in data exploration, feature engineering, experimentation, and code quality. Communicate complex technical concepts and trade offs in a concise, structured way to both technical and non technical audiences (e.g., product reviews, customer meetings, internal briefings). What You Bring Master's degree with 3+ years of relevant industry experience, or Ph.D. with 1+ years of experience in applied ML / data science roles; background in Computer Science, Statistics, Mathematics, or related quantitative fields preferred. Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets. Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/B testing, holdout strategies, stratification). Experience developing production-quality data pipelines and automated workflows using Airflow or similar orchestration tools. Practical familiarity with graph databases and/or graph frameworks (Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms for clustering, link prediction, and community detection is strongly preferred. Solid SQL skills and experience working with large-scale analytical data stores. Experience in at least one of: identity verification, fraud detection, credit risk, or adjacent high stakes domains is a plus. Demonstrated ability to lead medium to large projects end to end, make sound trade off decisions under ambiguity, and influence cross functional stakeholders with data and clear reasoning. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly. Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.

Scrum Master About the Team LexisNexis Intellectual Property serves customers in more than 150 countries with 11,300 employees worldwide and is part of RELX, a global provider of information based analytics and decision tools for professional and business customers. About the Role We are looking for a Scrum Master to enable high performing, autonomous product engineering teams. This role sits within the Engineering organization and is embedded with one or two cross functional squads. As a servant leader and delivery partner, the Scrum Master works closely with Engineering Managers, Product Managers, Product Operations and Technical Program Managers to ensure portfolio priorities translate into realistic, sustainable execution at the team level. Key Responsibilities Team Level Delivery and Flow Serve as Scrum Master for one or more Agile teams, ensuring effective adoption of Scrum and Agile practices (Scrum, Kanban, or Scrumban as appropriate). Own team level delivery governance and predictability, ensuring clear goals, realistic planning, and transparent signals on scope, risks, and progress. Ensure work is visible, prioritised, and flowing through the system (e.g., backlogs, boards, WIP limits). Help teams create realistic sprint goals or flow targets and meet commitments sustainably. Define and maintain team level delivery metrics (e.g., throughput, cycle time, defect trends; DORA metrics where appropriate). Identify and make visible impediments impacting throughput or quality - both within and outside the team - and drive resolution in partnership with Engineering, Product, TPMs, and Product Operations. Agile Facilitation and Coaching Facilitate Agile ceremonies including Sprint Planning, Daily Stand Ups, Reviews, Retrospectives, and Backlog Refinement. Coach teams on Agile principles, self organisation, and continuous improvement. Foster a culture of trust, accountability, psychological safety, and constructive challenge. Support Product Owners and Product Managers in effective backlog management and value based slicing of work. Use data and experiments to evolve ways of working rather than enforcing a process for its own sake. Metrics, Insights, and Continuous Improvement Use quantitative and qualitative insights to identify bottlenecks, risks, and improvement opportunities. Facilitate outcome focused retrospectives and ensure follow through on improvement actions. Provide clear, concise status, risk, and dependency signals to stakeholders, framed in terms of business impact. Where applicable, create and maintain delivery dashboards and queries in Agile tooling (e.g., Azure DevOps). Cross Team and Stakeholder Partnership Own cross team coordination for work involving supported teams, ensuring dependencies, sequencing, and risks are understood and managed collaboratively. Partner with Product Operations and TPMs by providing accurate team and cluster level plans, capacity, and risk signals. Represent team realities in planning and prioritisation forums. Collaborate with Design, Security, Data, and other functions to improve end to end delivery. Contribute to the evolution of Agile practices as the organisation scales. What Success Looks Like Teams operate with clear goals, healthy cadence, and a sustainable pace. Delivery is predictable at the team and local cross team level, with risks raised early and transparently. Teams regularly identify and implement meaningful improvements to how they work. Agile ceremonies are purposeful, engaging, and outcome focused. Product, Engineering, TPMs, and Product Operations view the Scrum Master as a trusted delivery partner - not an extra layer of process. Requirements Required Skills Hands on experience as a Scrum Master or Agile delivery lead supporting software engineering teams. Strong understanding of Agile frameworks (Scrum, Kanban) and modern engineering practices. Proven facilitation and coaching skills; able to navigate conflict and drive clear outcomes. Comfort with delivery metrics and basic analytics; ability to translate data into decisions. Excellent written and verbal communication skills; able to adapt messaging for engineers, product leaders, and executives. Ability to influence without authority and build strong cross functional partnerships. Preferred Skills Experience working alongside Product Operations and Technical Program Managers in a portfolio or platform environment. Experience supporting multiple teams or operating in scaled Agile environments. Familiarity with Agile tooling (e.g., Aha, Azure DevOps). Background in software development, QA, or a related technical discipline. Agile certifications (e.g., CSM, PSM, KMP) are a plus but not a substitute for practical experience. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work Arrangement We promote a healthy work/life balance across the organisation. Working flexible hours helps you fit everything in and work when you are the most productive. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits. Wellbeing programmes. Life assurance. Access to a competitive contributory pension scheme. Save As You Earn share option scheme. Travel season ticket loan. Electric Vehicle Scheme. Optional Dental Insurance. Maternity, paternity, and shared parental leave. Employee Assistance Programme. Access to emergency care for both the elderly and children. RECARES days to support charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Access to the employee discounts scheme via Perks at Work. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, colour, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Build production AI systems that interpret global markets Permutable is building the intelligence infrastructure institutions use to understand what is moving global markets - and why. Our technology transforms large volumes of multilingual news, economic developments, market narratives and geopolitical information into structured, explainable signals. These signals support institutional investors, banks, asset managers, energy desks and commodity trading teams across macroeconomic, commodities, currency and geopolitical research. Permutable currently analyses more than 250,000 sources across over 80 languages, processes more than one million narratives each day and covers more than 70 assets. In 2026, we were named Hedgeweek's Technology Provider of the Year: Innovation. We are now looking for an exceptional graduate engineer to help us build the next generation of our machine learning and market intelligence systems. The opportunity This is not a rotational graduate scheme or a role where you will spend your first year observing from the sidelines. You will join our engineering and data science team, work on real technical problems and contribute to systems used in live institutional workflows. You will be supported by experienced colleagues, but you will also be trusted with meaningful responsibility from an early stage. The work sits at the intersection of: Machine learning and natural language processing Large language models and agentic systems Multilingual information retrieval Time-series and point-in-time data Financial markets and economic research Scalable production engineering You might be improving how an emerging economic narrative is detected across multiple languages one week and evaluating whether a new model can identify changes in commodity-market pressure the next. Your work will not remain in a notebook. You will help take ideas from research and experimentation through to reliable production systems. What you will work on Depending on your strengths and interests, you will: Design, train and evaluate machine learning and NLP models operating on large-scale textual datasets. Develop systems for classification, information extraction, entity resolution, narrative clustering, sentiment analysis and semantic search. Experiment with transformers, embeddings, retrieval systems and large language models. Build robust evaluation frameworks to measure accuracy, consistency, latency and production performance. Carry out detailed error analysis and translate findings into practical model improvements. Work with engineers, data scientists, market analysts and product colleagues to solve commercially relevant problems. Communicate technical findings clearly to both technical and non-technical team members. Contribute ideas to our research direction, product architecture and engineering standards. What success could look like During your first few months, you could: Become familiar with Permutable's data, models and production architecture. Ship a contained improvement to an existing model, evaluation process or data pipeline. Reproduce and assess an existing experiment using historical point-in-time data. Present your findings and recommendations to the wider technical team. As your experience grows, you could: Take ownership of a model, service or technical workstream. Design and run original experiments. Deliver new capabilities into production. Help determine how our machine learning systems evolve. Work directly with market analysts and institutional use cases. Mentor future graduate engineers joining the team. What we are looking for You may be completing your degree or have graduated within the past two years. We are particularly interested in UK graduates from: Computer science Artificial intelligence or machine learning Mathematics or statistics Physics Electrical, mechanical or software engineering Data science Computational linguistics Another highly quantitative discipline You should have: Strong Python programming skills. Solid foundations in algorithms, data structures and software engineering. A good understanding of probability, statistics, linear algebra and machine learning. Experience using at least one machine learning framework. The ability to test ideas methodically rather than relying on intuition alone. Evidence that you can take a difficult technical problem, break it down and make progress independently. Clear written and verbal communication skills. Intellectual curiosity and a genuine interest in understanding how systems work. The confidence to ask questions, challenge assumptions and defend your reasoning. The motivation to work in a fast-moving startup where priorities can evolve quickly. We do not expect you to arrive knowing everything. We do expect you to learn quickly, care about technical quality and take ownership of your work. Evidence that would make you stand out Strong candidates may have completed one or more of the following: A technically ambitious dissertation or research project. An internship involving software engineering, machine learning or quantitative research. A substantial personal or university project that progressed beyond a standard tutorial. Open-source contributions or a well-documented GitHub repository. Research involving NLP, transformers, LLMs, time-series data or information retrieval. Competitive programming, mathematical competitions, hackathons or data-science competitions. An academic publication, preprint or research assistantship. Work involving large, noisy or multilingual datasets. A project where you had to make and justify difficult modelling or engineering trade-offs. We are more interested in the depth of your thinking and the decisions you made than in an unnecessarily polished portfolio. Useful, but not essential Experience with any of the following would be helpful: PyTorch, TensorFlow, JAX or scikit-learn Hugging Face and transformer-based models Embeddings, vector search or retrieval-augmented generation SQL and large-scale data processing AWS or another cloud platform Docker, APIs and production deployment Experiment tracking and model monitoring Financial markets, economics, energy or commodities Time-series modelling Multilingual NLP Distributed systems Previous experience in finance is not required. We are looking for excellent technical potential and an interest in learning how global markets work. Why join Permutable? Work that reaches production You will build systems that contribute to live products and real institutional workflows rather than completing artificial graduate exercises. Meaningful responsibility You will have the opportunity to own problems, contribute ideas and see the direct effect of your work. Broad technical exposure You will gain experience across research, modelling, evaluation, data engineering, deployment and production monitoring. Close mentorship You will work alongside experienced engineers, data scientists, market specialists and company leadership, with access to the context behind important technical and product decisions. A genuine startup culture We are an ambitious and collaborative team. People are encouraged to speak openly, take initiative and improve how we work rather than waiting for instructions. Room to grow with the company As Permutable expands, strong graduate engineers will have the opportunity to take on increasingly complex work and shape their own technical progression. A team that enjoys working together Alongside serious technical work, we hold regular team socials, collaborative sessions and company offsites. We want to build an environment where talented people enjoy working together and feel proud of what they are creating. Who will thrive here? This role will suit someone who: Wants greater ownership than a conventional graduate programme can offer. Enjoys moving between research questions and practical engineering. Is energised by difficult, open-ended problems. Wants to understand the real-world purpose behind the models they build. Prefers a high-trust environment with a steep learning curve. Is comfortable receiving direct feedback and improving quickly. Wants to help build a company, not simply occupy a narrowly defined position. A startup will not offer the predictability of a large corporate graduate scheme. In return, you will gain broader exposure, faster responsibility and the opportunity to make contributions that are visible across the business.

Company Description Are you an experienced sales and business development professional looking to drive profitable growth, gain market share, and build a strong future pipeline within our Contractors & Installers division? As a global leader in electrical wholesale, Rexel distributes advanced electrical and energy-efficient products worldwide. We deliver smart, sustainable solutions engineered to enhance comfort, safety, and security across residential, commercial, and industrial sectors. Based within our Leeds Cluster, you'll be responsible for developing and winning new business into our branches, while strengthening existing relationships to create long term, value added partnerships across the Contractors & Installers customer base. Benefits of a Career with Rexel Company Car Scheme Bonuses: Performance Related Bonus Scheme Time Off: 33 days annual leave (including bank holidays, increasing throughout the years too!) You can also buy and sell holiday each year Enhanced parental leave Support & Development: Extensive learning opportunities from day one. Health & Wellbeing: Private Medical Insurance/Free virtual GP service, Healthy Mind Champions, and more! Perks: Contributory pension scheme and life assurance, Staff discounts, exclusive holiday offers and free financial support and education Job Description As a Business Development Manager at Rexel, you will drive profitable growth, gaining market share and creating future pipeline opportunities, within specific segment or product specialism. This role is pivotal in driving sales, collaborating with branch based teams and creating an exceptional customer relationship and service. Key Responsibilities Strategic Roadmap: Use data driven insights and tools to create a plan to increase market share (within a defined geography/segment/specialist product group) identifying potential and long term growth opportunities through new offerings, markets, or revenue streams. Pipeline Management: Build and maintain a pipeline of customer partnerships. Customer Partnerships: Create partnerships and strategic relationships with customer (brand/business) for long term future opportunity. Value Proposition Development: Create tailored solutions leveraging preferred suppliers to drive innovation and profitability. Pricing and Profitability: Govern regional pricing, margins, and contract profitability. Market Agility: Adapt strategies based on market and segment changes for long term future growth. Multichannel Growth: Promote multichannel adoption to innovate customer propositions. Customer Experience: Ensure exceptional customer experience and OTIF through collaboration with internal end to end experts to drive new business and successful implementation. Team Development: Upskill internal teams, ensuring clear account ownership and regular reviews to achieve growth targets. Qualifications At Rexel, we prioritise hiring individuals based on behaviours and potential, rather than requiring specific formal qualifications for roles, the behaviours that will set you up for success as a Business Development Manager include: COLLABORATION - Building partnerships and working collaboratively with others to meet shared objectives. HOLDS ACCOUNTABILITY - holds self and others accountable to meet commitments. CUSTOMER PARTNERSHIP - Creating new customer partnerships with multidimensional relationships for strategic insight for future opportunity. DRIVES RESULTS - Consistently achieving results, even under tough circumstances. INFLUENCES - using compelling arguments to gain the support and commitment of others. BUILDS NETWORKS - Effectively building formal and informal relationship networks inside and outside the organisation. What we are looking for Commercial expertise (margin, P&L, cost to serve) Influencing and Negotiation skills Experience within a business development role with proven results. Able to make data driven decisions to drive strategic plans and growth opportunities. Strong stakeholder management experience with the ability to collaborate cross functionally. Proven sales experience with the ability to prospect, qualify and close new business. Extensive knowledge of sales processes and techniques. Additional Information At Rexel UK, we're all about welcoming people from different backgrounds, experiences, and perspectives because we know that diversity drives fresh ideas and great results. By coming together as one team, we're building a high performance culture that not only drives success but also creates real value for our customers and communities. Creating an environment where individuality is celebrated and creativity flourishes, we're making sure everyone feels supported and confident to be their best.

Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It's how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability. The impact you will have: As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You'll help build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. You'll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another. This is a hands on team Lead role where you will balance technical expertise with team leadership. What you will do: Own the DevOps and Platform roadmap, defining the automation, scaling, and multi tenant Kubernetes based Internal Developer Platform (IDP). Lead by doing - engineer, review, and enhance Kubernetes and CNCF aligned infrastructure, setting technical standards. Architect multi cluster, multi region environments using Istio/Linkerd, Cluster API, and Kyverno. Build progressive delivery frameworks with Flux and Flagger for GitOps driven, canary, and automated releases. Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes native cloud integration. Define and enforce Zero Trust architecture with Vault, Boundary, service identity, and mTLS secured meshes. Engineer policy driven automation and compliance using OPA, Kyverno, and secure supply chain configurations. Establish IaC and GitOps standards, adding automated testing to every infrastructure change. Prototype agentic infrastructure components, including deployment and observability platforms in service meshes. Design AI Gateways and Registries for traffic and event routing between microservices and autonomous agents via CNCF Gateway APIs. Champion DevSecOps maturity by embedding SAST/DAST, chaos engineering, and error budget monitoring. Collaborate with Security, Data, and AI teams to shape DevOps and AI platform architectures with regulatory compliance. Stay ahead of CNCF and AI ecosystem innovations, from eBPF observability to agent aware orchestration. What We're Looking For We value diverse backgrounds and paths to expertise. If you bring solid experience in several of the areas below, we encourage you to apply even if you don't meet every detail. Core Expertise Experience leading or mentoring engineering teams with the ability to set direction and contribute hands on. Strong Kubernetes knowledge, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem (Cilium, ExternalDNS, Kyverno, Gatekeeper). Designing and operating multi cluster, multi region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy based workload placement. Writing Infrastructure as Code with Terraform on AWS or GCP using modular design, GitOps integration, and automated testing (Terratest, InSpec). Implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi environment releases. Building containerized, serverless, or event driven systems with strong observability using DataDog, Splunk, or OpenTelemetry. Strengthening platform security through Vault based secret management, least privilege access, and compliance automation. Designing CI/CD workflows that include SAST, DAST, policy enforcement, and performance telemetry. Improving reliability and resilience through SLOs, error budgets, and chaos engineering. You'll Thrive Here If You Are passionate about building secure, scalable, and reliable systems and helping others do the same. Have a strong customer and product mindset. Take ownership and make thoughtful, data informed decisions. Enjoy building high performing, inclusive, and autonomous teams. Align technical leadership with business outcomes. Collaborate openly and continuously seek to learn and grow. Nice to Have The following are genuinely bonus areas. Great if you have them, but not required. Leading platform modernisation or reliability initiatives in scale up or regulated environments. Experience with Operator development, CRD automation, eBPF, or Cilium for observability. Expertise in policy as code using OPA or Kyverno within secure supply chain or CSPM frameworks. Exposure to AI driven internal developer platforms or predictive observability using AI or LLMs. Experience designing agentic or autonomous infrastructures with observability for AI agents. Familiarity with MCP and A2A orchestration patterns in Kubernetes service mesh environments. Understanding of Agent Gateways and Registries connecting microservices and AI agents. Background in secure containers, sandboxing, or confidential computing for regulated workloads. Experience with data intensive systems such as Spark, Databricks, or Data Mesh. Programming experience in Go, Python, or TypeScript. Contributions to open source or CNCF community projects. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Warsaw, Poland; Hamburg, Germany; Copenhagen, Denmark; Madrid, Spain; Paris, France; Dublin, Ireland; Milan, Metropolitan City of Milan, Italy; Amsterdam, Netherlands; London, UK. Qualifications Bachelor's degree or equivalent practical experience. 10 years of experience working with Google Ads technology or similar digital advertising platforms. 8 years of experience in technical consulting, product management, or solution architecture and project management in a customer-facing role. Experience in translating business needs into technical specifications. Preferred qualifications Master's degree in a technical field. Experience in an online advertising/customer growth role and familiarity with the ad serving industry and internet technologies. Understanding of advertising technologies, APIs, and data integration. Ability to learn complex technical concepts and communicate them to a non-technical audience effectively. Ability to work independently and to manage multiple projects simultaneously, with excellent problem-solving and project management skills. Ability to code with Java or Python, and construct complex SQL queries along with database knowledge. About the job As the Product Deployment Engineer (PDE) Manager, you are the strategic leader and primary link between gTech Ads, Google Customer Solutions (GCS) regional leadership, and Product and Sales Activation (PSA). You unify these functions to graduate customers along the product adoption maturity curve. A critical mandate involves liaising with GCS PSA Leaders, Global Product Leads, and the Ads Solutions Engineering Centre of Excellence (CoE) to deploy excellent implementations. Your team critically assesses customer needs to drive advanced product adoption. You serve as a product advocate for gTech Ads for complex technical product deployment. This role balances the operational management of a specialized technical team with the execution of high-impact, regional media and product business strategies. Operationally, you will guide a high-performing team of PDEs through complex technical projects and advanced implementations. Strategically, you will act as the principal advisor to gTech Ads GCS, owning the complex implementation strategy across the region. You partner with implementation program managers, PSA leads, and regional sales directors to accelerate product adoption. Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Salary Germany: €186000 - €191000 (EUR) + 25% bonus target + equity + benefits Denmark: kr. - kr. (DKK) + 25% bonus target + equity + benefits Spain: €158000 - €162000 (EUR) + 25% bonus target + equity + benefits France: €172000 - €177000 (EUR) + 25% bonus target + equity + benefits Ireland: €182000 - €187000 (EUR) + 25% bonus target + equity + benefits Italy: €158000 - €162000 (EUR) + 25% bonus target + equity + benefits Netherlands: €192000 - €197000 (EUR) + 25% bonus target + equity + benefits Poland: zł600000 - zł615000 (PLN) + 25% bonus target + equity + benefits Responsibilities Integrate gTech's value proposition into GCS sales strategies and adapt global/regional data activation strategies to meet localized market needs alongside PSA counterparts. Oversee advanced implementations and custom API workarounds, while actively identifying scaling best practices to transition bespoke fixes into repeatable frameworks. Build playbooks and tooling requirements, partner with cross-cluster product communities and Ads Solutions Engineering (ASE) to define technical tooling requirements Business Requirements Documents (BRDs) that automate and scale implementation delivery. Define best practices and work with agents to scale implementations. Deploy scarce, high-value technical resources toward high-opportunity sectors, establishing the metrics and case studies to quantify the business value delivered. Manage and scale a high-performing team of Product Deployment Engineers, fostering a high-impact, entrepreneurial culture. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Our client is one of the world's leading algorithmic trading firms, using state-of-the-art machine learning technology to trade across equities, fixed income, currencies, commodities and crypto. The firm trades at significant scale across dozens of countries and employs world-class researchers, developers and technologists with backgrounds in pure mathematics, physics, computer science and machine learning. Technology is the business. The firm operates one of the most significant computational research clusters in the trading industry, comprising tens of thousands of GPUs and hundreds of petabytes of storage. It is actively expanding its data centre footprint, including a large-scale facility currently under construction in Europe. The Role This is a newly created position, the first of its kind within the firm. The Technical Procurement Specialist will serve as the firm's smart buyer for everything that makes its physical infrastructure run. This is not a traditional procurement role. It is a role for someone who can talk GPU infrastructure and data centre specs with engineers in the morning and negotiate commercial contracts with vendors in the afternoon. The successful candidate will own the firm's approach to sourcing and deploying GPU servers, HPC clusters, colocation capacity, exchange connectivity, cooling systems, dark fibre and network hardware. This is a role managing hundreds of millions in annual spend, working directly alongside the engineering and infrastructure teams. Key Responsibilities Research, evaluate, negotiate and procure IT hardware, HPC and GPU infrastructure, enterprise software, data centre and colocation services, cloud services and related professional services. Support procurement and delivery of high-performance infrastructure projects, including compute, GPU, storage, network, power, cooling, data centre capacity and exchange connectivity. Run structured sourcing processes including RFIs, RFPs, vendor evaluation, commercial negotiation, contract review, purchase approvals and implementation handover. Work with engineering and infrastructure teams to evaluate technical options, vendor roadmaps, availability, lead times, support models, deployment risks and total cost of ownership. Manage supplier relationships across OEMs, resellers, data centre and colocation providers, network carriers, software vendors and professional services firms. Support technical project management and delivery across data centre, exchange connectivity, network and infrastructure services, including physical white space deployment. Manage hardware and enterprise software asset lifecycles, including renewals, maintenance, utilisation, refresh planning and decommissioning. Conduct cost reconciliation, spend analysis, budget tracking, vendor reporting and financial data administration. Improve procurement processes, documentation, governance and stakeholder workflows. Requirements Deep, hands on technical knowledge of HPC and GPU infrastructure, including physical deployment and commissioning of GPU clusters, accelerated compute systems and high density data centre environments. Direct experience working in or deploying infrastructure into white space data centre environments, including rack and stack, power, cooling and structured cabling. Strong understanding of data centre environments, compute, storage, networking, colocation and deployment constraints. Proven ability to engage credibly with engineers on technical specifications while also owning the commercial and contractual process with vendors. Experience with exchange connectivity, low latency network infrastructure or trading related infrastructure is a strong advantage. Commercially astute with strong negotiation skills and the ability to assess vendor proposals, commercial models, contractual terms and total cost of ownership. Proven project management experience delivering technical infrastructure or data centre projects. Effective communicator, capable of translating technical concepts for non-technical stakeholders and commercial constraints for technical stakeholders. Financial services or research computing environment experience is advantageous. Full relocation support and visa sponsorship are available for the right candidate. Ideal Background The ideal candidate will have come from one or more of the following backgrounds: Pre sales, solutions architect or technical account manager at an HPC or AI infrastructure vendor, with experience supporting large scale GPU or HPC deployments. Technical project or programme manager who has delivered HPC or AI infrastructure deployments end to end, including physical white space commissioning. In house infrastructure procurement professional with genuine HPC or GPU technical depth and hands on deployment experience. Data centre or colocation operations professional who has moved into or alongside commercial and procurement functions.

JD Logistics UK is seeking a Cluster Manager for Last Mile operations to oversee a defined geographic cluster of delivery stations, ensuring on-site coverage, safety, and quality across sites. You will lead multi-site teams, drive KPI-based performance, coordinate with transport, HR, and customer service, and travel between sites to maintain operational consistency. This role reports to the Director for Last Mile Operations and offers a dynamic, technology-driven environment within a global

Principal Applications Specialist (Fabrication) UKISolicitarlocations: Bargeddie GB (Cyl depot) (0A18): Basingstoke, United Kingdomtime type: Jornada completaposted on: Publicado hoyjob requisition id: JR-5En Air Products, reimaginamos lo que es posible. Aprovechando la motivación de nuestra gente y nuestra experiencia colectiva, creamos las ideas y las innovaciones que nos impulsan hacia adelante. Cuando nos unimos -en un entorno donde se escucha cada voz y todos saben que forman parte del equipo y que son importantes- creamos soluciones que lanzan a las personas al espacio, respaldan la atención médica vital en los hospitales y permiten la construcción de instalaciones de producción pioneras a escala mundial. Reimaginemos lo que es posibleAt Air Products, we have been helping our customers to become more productive, energy efficient and sustainable for more than 85 years. With approximately 21,000 employees and operations in over 50 countries, we serve customers across a wide range of industries from food and beverage to medical, manufacturing and repair, energy and transportation. We supply a unique portfolio of atmospheric and process gases, equipment, and services.An opportunity exists within the UK Packaged Gases Technology & Marketing Team for a Principal Applications Specialist (Fabrication) who will be responsible for; Delivering their own individual Merchant Fabrication business growth and retention targets. Leading a Regional Merchant Applications Specialists' Team of 3-4 Application Specialist's to deliver on regional new business and profit retention targets across the UK & Ireland Merchant Country Cluster. Building & maintaining effective commercial collaboration between the Application Specialists' team and the Merchant Commercial team and a positive working environment in the Fabrication segment. Developing and delivering a Regional Key Customer & Technology Contacts Plan. As the Principal Applications Specialist (Fabrication) you will; As a leader: Coach & manage a Regional Fabrication Applications Team to deliver against Regional new business and profit retention targets. As an individual: Work alongside commercial colleagues to Win NEW Merchant Fabrication Accounts As an individual: Build loyalty and maximise returns in existing Merchant Fabrication Accounts Carry-out training courses for colleagues and channel partners (agents) Assist with marketing & promotional events, attend exhibitions, etc. Build and maintain relationships with key equipment manufacturers (OEMs) As the Business Development Manager, you already are or have; Performed as an effective team leader. Highly proficient in craft welding skills particularly in MIG/MAG, TIG welding and Oxy/fuel welding & cutting. Approved welding craft apprenticeship with extensive experience in the metal fabrication industry (welding & cutting). Up to date knowledge of technology in welding/fabrication sector. Self-motivated and self-managed with excellent self-discipline, good influencing & negotiating skills and highly developed sales ability. Good interpersonal skills and an excellent team player Good PC skills in Word, Excel, PowerPoint and internal software.At Air Products, we work in an environment where diversity is essential, inclusion is our culture, and each person knows they belong and matter. We invite you to bring your diverse self and creativity to a company reimagining what's possible. Be part of our growth story and make a difference.We offer a competitive salary and benefits package (including Company Specialist Vehicle, Fuel Card, Mobile Phone and Laptop), a culture of respect, challenge and innovation - with excellent opportunities for growth and development.Fundada en 1940, Air Products es una empresa líder mundial en gases industriales y cuenta con una orgullosa trayectoria de innovación y excelencia operativa, con un compromiso inquebrantable con la seguridad y la gestión medioambiental. Trabajando juntos, aprovechamos nuestra pasión y nuestros diversos orígenes para reimaginar lo que es posible y generar un futuro más limpio para nuestros clientes, nuestras comunidades y el mundo.

Henkel is seeking a Senior Cluster Infrastructure Manager for Northern Europe, based at the UK headquarters. You will lead a team of 12, ensuring compliance and implementing strategies in Facility Management, Fleet Management, Security, and Health, Safety, and Environment. This role encompasses accountability across 10 countries, focusing on meeting targets and delivering results while aligning operations with corporate policies.

About this Position As the Senior Cluster Infrastructure Manager for Northern Europe, you will lead a dedicated team of 12 across the region, with 6 direct reports across 10 countries. You will hold full accountability for Facility Management, Fleet Management, Security Management, and Health, Safety, and Environment (SHE). The role will be based at the UK headquarters. What you'll do Strategic Leadership & Governance Domain Strategy Execution: Accountable for implementing comprehensive regional strategies, meeting targets, and KPIs across all core domains (Facility Management, Security, Health, and SHE) within the Northern Europe cluster. Policy & Compliance: Ensure all cluster operations strictly align with

Scrum Master About the Team LexisNexis Intellectual Property serves customers in more than 150 countries with 11,300 employees worldwide and is part of RELX, a global provider of information based analytics and decision tools for professional and business customers. About the Role We are looking for a Scrum Master to enable high performing, autonomous product engineering teams. This role sits within the Engineering organization and is embedded with one or two cross functional squads. As a servant leader and delivery partner, the Scrum Master works closely with Engineering Managers, Product Managers, Product Operations and Technical Program Managers to ensure portfolio priorities translate into realistic, sustainable execution at the team level. Key Responsibilities Team Level Delivery and Flow Serve as Scrum Master for one or more Agile teams, ensuring effective adoption of Scrum and Agile practices (Scrum, Kanban, or Scrumban as appropriate). Own team level delivery governance and predictability, ensuring clear goals, realistic planning, and transparent signals on scope, risks, and progress. Ensure work is visible, prioritised, and flowing through the system (e.g., backlogs, boards, WIP limits). Help teams create realistic sprint goals or flow targets and meet commitments sustainably. Define and maintain team level delivery metrics (e.g., throughput, cycle time, defect trends; DORA metrics where appropriate). Identify and make visible impediments impacting throughput or quality - both within and outside the team - and drive resolution in partnership with Engineering, Product, TPMs, and Product Operations. Agile Facilitation and Coaching Facilitate Agile ceremonies including Sprint Planning, Daily Stand Ups, Reviews, Retrospectives, and Backlog Refinement. Coach teams on Agile principles, self organisation, and continuous improvement. Foster a culture of trust, accountability, psychological safety, and constructive challenge. Support Product Owners and Product Managers in effective backlog management and value based slicing of work. Use data and experiments to evolve ways of working rather than enforcing a process for its own sake. Metrics, Insights, and Continuous Improvement Use quantitative and qualitative insights to identify bottlenecks, risks, and improvement opportunities. Facilitate outcome focused retrospectives and ensure follow through on improvement actions. Provide clear, concise status, risk, and dependency signals to stakeholders, framed in terms of business impact. Where applicable, create and maintain delivery dashboards and queries in Agile tooling (e.g., Azure DevOps). Cross Team and Stakeholder Partnership Own cross team coordination for work involving supported teams, ensuring dependencies, sequencing, and risks are understood and managed collaboratively. Partner with Product Operations and TPMs by providing accurate team and cluster level plans, capacity, and risk signals. Represent team realities in planning and prioritisation forums. Collaborate with Design, Security, Data, and other functions to improve end to end delivery. Contribute to the evolution of Agile practices as the organisation scales. What Success Looks Like Teams operate with clear goals, healthy cadence, and a sustainable pace. Delivery is predictable at the team and local cross team level, with risks raised early and transparently. Teams regularly identify and implement meaningful improvements to how they work. Agile ceremonies are purposeful, engaging, and outcome focused. Product, Engineering, TPMs, and Product Operations view the Scrum Master as a trusted delivery partner - not an extra layer of process. Requirements Required Skills Hands on experience as a Scrum Master or Agile delivery lead supporting software engineering teams. Strong understanding of Agile frameworks (Scrum, Kanban) and modern engineering practices. Proven facilitation and coaching skills; able to navigate conflict and drive clear outcomes. Comfort with delivery metrics and basic analytics; ability to translate data into decisions. Excellent written and verbal communication skills; able to adapt messaging for engineers, product leaders, and executives. Ability to influence without authority and build strong cross functional partnerships. Preferred Skills Experience working alongside Product Operations and Technical Program Managers in a portfolio or platform environment. Experience supporting multiple teams or operating in scaled Agile environments. Familiarity with Agile tooling (e.g., Aha, Azure DevOps). Background in software development, QA, or a related technical discipline. Agile certifications (e.g., CSM, PSM, KMP) are a plus but not a substitute for practical experience. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work Arrangement We promote a healthy work/life balance across the organisation. Working flexible hours helps you fit everything in and work when you are the most productive. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits. Wellbeing programmes. Life assurance. Access to a competitive contributory pension scheme. Save As You Earn share option scheme. Travel season ticket loan. Electric Vehicle Scheme. Optional Dental Insurance. Maternity, paternity, and shared parental leave. Employee Assistance Programme. Access to emergency care for both the elderly and children. RECARES days to support charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Access to the employee discounts scheme via Perks at Work. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, colour, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Location: Central area Are you passionate about customer service, and sales? Are you looking for a new challenge? Do you want an opportunity to join an exciting and rapidly expanding business? If so, we would love to hear from you! VPZ are the market leading UK based specialist vape and e-cigarette retailer. We currently have over 150 stores across the UK with more store openings on the way. We are looking for an experienced Cluster Manager to help with our growth plan. Reporting to the Regional Manager, a successful candidate will be responsible for the day-to-day operation and management of the stores within their Region, delivering service and service/sales training to ensure our staff provide best in class customer service to the benefit of our customers. Main Responsibilities Managing 10 to 20 employees across 3 to 5 stores. To support the retail staff within your area whilst both delivering and overseeing their training and development on an ongoing basis. Working alongside your staff trading on the shop floor. Ensuring that there are no obstacles to the trading of the stores under your care. Managing store rota's and staffing, including recruitment. Oversee general performance standards and time management on a regular basis. Monitor sales and KPI reporting. The ideal candidate will be: Have a proven track record as a Manager in a retail/hospitality/fast paced environment. Be customer service driven. Be highly motivated and ambitious. Be able to demonstrate high levels of operational, leadership, planning, organisational, interpersonal and communication skills. Benefits Up to £35,000 DOE Comprehensive training provided Company pension scheme 28 days holiday entitlement Paid breaks Up to 50% Staff discount Fantastic opportunities for development Additional Benefits Employee discount Job Types: Full-time, Permanent Pay: Up to £35,000.00 per year Experience Management: 1 year (required) Licence/Certification Driving Licence (required) Work Location: On the road If you feel you would be well suited to this role, hit apply now!

Job Overview Technical Services Manager - Fire Doors Location: Bellshill - covering sites across the Central Belt of Scotland Salary: £52,000 per annum + Company Car / Allowance + Package Brief Technical Services Manager needed for a large well known Facilities Management organisation based in Scotland who are looking to employ an experienced and well rounded Technical Services Manager that focuses on Fire Doors. The successful candidate will oversee statutory compliance for fire doors across delegated PFI projects. You will have direct line management of the mobile Fire Door Inspection and Remedial team, and work closely with Operational teams to ensure consistent, high quality compliance. Benefits Salary: £50,000 - £52,000 per annum 24 days holiday Company Car / Allowance Variable annual bonus based 5-15% Pension Plan Career Progression Responsibilities Act as the focal point for Fire Door statutory compliance across Scotland PFI projects, coordinating between operational, technical, site teams, and service partners to minimise compliance risk and performance deductions. Manage and develop the mobile fire door inspection & maintenance team, including absence management, recruitment, performance reviews, and employee development. Oversee and maintain the company system 'Bolster' for fire door inspection and maintenance, ensuring data and drawings are complete and accurate in liaison with CAD technicians. Ensure quality control of documentation and workmanship across self delivery and subcontracted fire door services. Liaise with subcontractors and operatives to coordinate scheduling, work delivery, reporting, and closure of work orders with precise timeliness. Provide technical and logistical support to other Cluster 1 Technical Service Managers related to fire door delivery, including reviewing performance, training updates, cost verification, and quality assurance. Manage subcontractor works for fire door remedials and installations, including tendering, project management, SHEQ adherence, and financial control. Compile and present reports on fire door inspections and remedial works for the Account Director, and operational and technical teams. Support mapping, training, and rollout of bespoke fire door inspection and remedial processes to relevant teams. Take personal responsibility and accountability for your actions, driving continuous improvement in safety and quality standards. Conduct regular audits and MSV visits to ensure services meet agreed standards including ISO & OHSAS compliance. Qualifications Previous experience in Technical Services, Contract Management, or Supervisory roles. Completed relevant trade apprenticeship in Joinery or Construction. NVQ Level 3 in Fire Door Inspections. Recognised Fire Door Inspection qualifications such as BM TRADA, plus sound knowledge of legislation and industry guidelines. Health & Safety qualification such as SMSTS, IOSH or NEBOSH. Excellent communication and customer interaction skills. Strong workload management and prioritisation abilities. Skilled in administration including CAFM systems (Maximo preferred) and Microsoft Office. Proven analytical and planning capabilities with innovative working approach. Strong interpersonal skills with ability to communicate effectively across all levels internally and externally. Experience liaising directly with clients on FM projects. Experience undertaking AP/RP duties within FM projects. Full UK Driving Licence. Due to the nature of the contract, successful post holder will be required to obtain and maintain Disclosure Scotland to PVG level.