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Data Centre EngineerApplylocations: GBR - KEN - SEVENOAKStime type: Full timeposted on: Posted Todayjob requisition id: Job Description: We are hiring Data Centre Engineers for our client based in Sevenoaks in Kent with regular attendance at Maidstone site.This is a secure environment requiring security clearance and as a result we invite applications from UK nationals who hold or are willing to undergo SC clearance due to account requirements.The role will involve working both dayshift/nightshift hours and we offer a generous shift allowance as a result.Due to frequency of attendance at both sites, we require candidates who can drive and have their own transport.Position Objective:Visually inspect status indicators (LEDs) on Customer Equipment and report status to CustomerPerform a power-cycle of an item of Customer Equipment pursuant to the detailed, written instructions provided by Customer in the Intervention RequestPerform a visual inspection of power and cabling connectivityInspect all cabling for proper seating pursuant to detailed, written instructions provided by Customer in the Intervention RequestTest cable paths for conformance with performance standards pursuant to detailed, written instructions provided by Customer in the Intervention RequestConnect a Crash Cart (KVM) to assist diagnosis of failed reboots or power cycles pursuant to detailed, written instructions provided by Customer in the Intervention RequestMount media in identified drives as part of system builds or diagnosis pursuant to detailed, written instructions provided by Customer in the Intervention RequestActivate hardware controls pursuant to detailed, written instructions provided by Customer in the Intervention Request; and Replace hot-swappable components pursuant to detailed, written instructions provided by Customer in the Intervention Request. Functional Expertise: Basic understanding of IT operations in a large organisation Strong loyalty with regard to data and DC facility security Fluency in the local language (speaking, reading and writing) Fluency in English (speaking, reading and writing) Ability to work precisely and quality oriented Flexibility and willingness to cope with unexpected problems and situations. A general technical orientation Competent and professional communication with a commercial attitude over the phone Capacity to understand and clarify customer expectations effectively Capacity to manage customer expectations and interactions effectively Basic understanding of server HW (console, devices ) Ability to handle various types of media, devices and libraries Generic media knowledge (will provide training for specific or customer specific equipment) Proficiency in Microsoft Windows, Microsoft Office environment and general PC hardware Basic understanding of Networking Preferred Data centre operations experience Familiarity with structures and processes Professional certification in a relative field A professional degree in a technical discipline Please NoteTo satisfy our contractual obligations with clients, the candidate will be required to pass standard Criminal Records checks. Additional background checks may be required by certain customers. You will also be required to agree to DXC's Confidentiality, Non-Solicitation, and Conflict of Interest Agreements.DXC Technology is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, colour, religious creed, national origin, marital status, sex, sexual orientation/gender identity, age (40 or over), or genetic information. DXC's commitment to diversity and inclusive selection practices includes ensuring qualified long-term unemployed job seekers receive equal consideration for employment.Accommodation of special needs for qualified candidates may be considered within the framework of the DXC Accommodation Policy.At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

DXC Technology Inc. is looking for Data Centre Engineers in Sevenoaks, Kent, to work in a secure environment requiring SC clearance. Responsibilities include visually inspecting equipment, performing power cycles, and ensuring data centre operation standards are met. The ideal candidates will have a technical background, be fluent in English, and possess strong problem-solving skills. This role involves day and night shifts and necessitates candidates to have their own transport due to site attendance.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Share pages with your social network (twitter) guest\_id, k, \_twitter\_sess, original\_referer (facebook) datr, lu (g+1) PREF, SID, HSID, SSID TribePad - this allows you to login to our social recruitment management platform trackerToken-4 - this is similar to Google Analytics but specifically allows us to determine which of our marketing activities from which you found our website. visitToken-4 - this is similar to Google Analytics but specifically allows us to determine which of our marketing activities from which you found our website. youWantTheCookie remember your preferences (such as language); monitor the general performance of our visitors' experience when on our website - this information then allows us to improve the usability of our website for you and all our other visitors; store essential information to allow you to register and/or login to our site; allow you to share any of our website's pages with your social networks - but only if you explicitly choose to. Google Analytics Description Google Analytics is a web analytics service provided by Google, Inc. ("Google"), to help us see how our website is used. The data collected by Google Analytics is used to analyse how frequently the same people revisit the website, how the website is found (for example, from a search engine or from a job board), and which pages are most (and least) frequently viewed. This information is combined with data from every visitor to create an overall picture of website use, and is never identified individually or personally and is not linked to any other information we store about you. Google features for generating maps and CAPTCHA images Your role About the role Corpay is looking for a Senior Product Designer to join our international vehicle payments team in London. Corpay is This is a senior, hands-on role for a designer who combines strong product design craft with systems thinking. You'll help shape and evolve our design system, Fluxus, while also leading design across fleet products and experiences. We are looking for someone who is comfortable moving between design system leadership and end-to-end product design. The balance of the role may shift over time as the team, product set and business priorities evolve. This role will suit someone who enjoys variety, can adapt to changing needs, and is motivated by the opportunity to improve both how we design and what we design. You will report to the Head of Experience & Design and work closely with product managers, engineers and designers across the business. What you'll be doing How we work This is a hybrid role, requiring three days per week in our London office and two days working from home.As part of the Experience & Design team, you will work cross-functionally with product and engineering partners to solve complex problems, improve product experiences, and help us scale more consistently across products and services. The role combines strategic thinking with hands-on delivery, and requires someone who is comfortable working in a growing environment where priorities can evolve. Corpay will support you with: A dedicated workspace in our London office Formal onboarding and hands-on training Close collaboration with product, engineering, design and stakeholders across the business Role responsibilities Design System Lead the ongoing evolution of Corpay's design system, Fluxus, ensuring it enables consistent, scalable and high-quality experiences across products and brands. Design, refine and document reusable components, patterns and foundations with a strong focus on usability, accessibility and maintainability. Uphold design system standards, governance and best practices in collaboration with designers, engineers and brand stakeholders. Partner closely with engineering to strengthen design-to-development workflows, improve handover quality, support scalable implementation, and guide prioritised backlogs. Apply strong knowledge of tokens, variables and structured system architecture to support design system maturity and improve delivery efficiency. Apply and integrate AI-assisted design and design-to-code workflows where they improve speed, quality, or scale. Product Design Lead the design of digital products, features and journeys that support vehicle-related payments, fleet workflows and connected customer experiences, from early problem framing through to final design and delivery. Turn complex user and business requirements into clear, intuitive and user-centred experiences while achieving business goals. Work across products, tools and touchpoints to improve end-to-end journeys and increase consistency across our products. Produce user flows, wireframes, prototypes and high-fidelity designs that communicate ideas clearly and support decision-making. Use user research, feedback and relevant data to inform decisions and continually improve customer experiences. Partner closely with product managers, engineers, designers and wider stakeholders to shape solutions, test ideas and make considered, thoughtful trade-offs between user needs, business goals and technical constraints. Qualification and Skills Minumium of 5 year industry experience in product design, design systems, UI/UX design or interaction design designing for mobile and SaaS experiences. Strong visual, UI and interaction design skills, with attention to detail clearly demonstrated in a high-quality portfolio of product work. Experience building, evolving and scaling complex, multi-brand design systems, including working with Token Studio and variables. Proven experience designing complex, user-centred digital product experiences, ideally in B2B or B2B2C environments. Strong working knowledge of Figma and experience improving design-to-development handover. Confident working closely with product, engineering, design and wider business stakeholders. Ability to switch context comfortably, moving between system-level thinking and detailed design execution. Experience designing end-to-end user journeys, not just individual features or screens. Strong understanding of accessibility, consistency and scalable interaction patterns. Familiarity with AI-assisted design workflows or emerging tools that can improve design efficiency by supporting prototyping, automated component generation and design-to-code. Confident communicator with strong collaboration skills and the ability to work effectively across disciplines and handle evolving priorities. A valid driver's licence is a nice to have, as we build products for people who drive. What success looks like Success in this role means helping Corpay deliver better, more consistent product experience whilst also strengthening the systems that support them. You will help improve the maturity of our design systems, contribute to meaningful design experiences across fleet products whilst bringing clarity, structure and quality to complex work.If you are motivated by solving complex problems, creating seamless experiences, and improving design quality at scale, we would love to hear from you. Benefits and Perks 25 days per annum + 8 bank holidays Option to buy or sell up to 5 days annually during the benefits enrollment window Employee contribution of 3% matched with 5% from Corpay Provided by Vitality with no excess (Corpay covers £250 excess) Access to flexible discounts, supermarket savings, and more Complimentary access to thousands of online courses Volunteering days and engagement in fun company-wide contests and initiatives Our Company & Purpose Corpay is a global leader in business payments, laser-focused on developing smarter ways for businesses to pay their expenses. Since 2000, Corpay has developed innovative digital solutions that help businesses

About the Team Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners - including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale. About the Role As a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper's pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio. You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes. What would your day-to-day look like Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions An ideal candidate has 5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work Experience in data modelling, software architecture, and distributed data processing frameworks at scale Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production A product mindset that keeps the customer outcome in view, even when the work is deeply technical Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences Perks and Benefits of working with us Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health Automatic contributions when you start with Hopper through Smart Pension Very generous parental leave, much above industry standards Access to co-working space on demand through FlexDesk and Work-from-home stipend Carrot Cash travel stipend Unlimited PTO Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams = massive impact

Job Title - Critical Systems Supervisor Location - Wokingham Role Overview: We are seeking an experienced Engineering Supervisor with an Electrical Bias to join our team. This role involves providing multi-skilled maintenance services to Critical National Infrastructure (CNI), covering both electrical and mechanical disciplines. You will be responsible for reactive and proactive maintenance of operational equipment across the site. Key Responsibilities: Ensure all critical assets are fully operational and meet relevant KPIs. Act as the main point of contact for all critical-related activities. Provide technical support to onsite engineers. Schedule and approve all Planned Preventive Maintenance (PPM) tasks. Compile accurate reports and manage change controls. Support shift rota duties as needed due to sickness, absence, training, or annual leave. Requirements: Level 3 or equivalent electrical qualifications. Proven experience in a critical/data centre environment. Experience with HV/LV equipment (HV/LV AP is beneficial).

About UBDS UBDS Group empowers organizations to achieve remarkable digital transformations through innovative technology solutions. We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users. We're looking for a Senior Data Engineer who combines deep technical capability with a strong consulting mindset. Someone who enjoys ambiguity, cares about users, and can turn messy business problems into robust, production-grade data solutions. The Role As a Senior Data Engineer at UBDS, you'll work closely with clients, designers, analysts and engineers to shape and deliver modern data solutions end to end. You'll be trusted to lead technical thinking, make pragmatic design decisions, and support teams in delivering high quality outcomes that stand up in the real world. This is a hands on role with influence: you'll be building, guiding others, and helping clients understand what good looks like. What You'll Do Turn ambiguous business problems into clear data, analytical and technical solutions. Design, build and operate production grade data pipelines, models and products using SQL, Python and modern data engineering frameworks. Architect and work across data warehouses, lakehouse and event driven patterns, including strong semantic models for analytics and visualisation. Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices. Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default. Create clear data visualisations, narratives and consultant grade materials that help clients understand and act on insight. Work closely with users and stakeholders in Agile, client driven environments, learning from live services and real world feedback. Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve. What We're Looking For Core Data & Technical Skills Ability to translate ambiguous business problems into clear data, analytical and technical requirements. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience designing data models and architectures across data warehouses, lakehouse and event driven patterns, or strong semantic modelling in Power BI or other visualisation tools. Hands on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools. Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric). Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design. Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results. Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration. Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness. Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python based charts. Consulting & Delivery Mindset A user centred approach: curiosity about who will use the solution, why it matters, and the impact it will have. Confidence communicating clearly and working effectively in ambiguous, client driven environments. Ability to produce high quality, consultant grade slides and written materials. Strong critical thinking, with a clear and logical approach to defining and delivering data solutions. Proven experience delivering production grade solutions to real users, supporting live services and learning from real world feedback. High attention to detail, including readable code, consistent naming conventions and clear technical and user documentation. A product driven mindset, with experience delivering features and outcomes iteratively in Agile teams. Familiarity with relevant industry and government standards, and a habit of seeking out appropriate standards at the start of delivery rather than reinventing solutions. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more. Private medical cover for you and your spouse/partner, offered via Vitality. Discretionary bonus based on a blend of personal and company performance. Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays. Electric Vehicle leasing with salary sacrifice. Contributed Pension Scheme. Death in service cover. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Offline CNC Programmer / CNC CAM Engineer Hours: 37.5 hours per week. Monday to Friday (06:00 - 14:00) Salary: Up to £55k, dependent on experience We're looking for an Offline CNC Programmer to join a forward thinking manufacturing team, where you'll focus on producing high quality programs away from the machine, supporting efficient, right first time production. About the company At Grainger & Worrall, we specialise in producing complex cast and precision machined solutions for pioneering technologies across diverse industries, including automotive, aerospace, defence, motorsport, and more. Driven by a team of talented and experienced engineers and specialists, we push boundaries and innovate to bring cutting edge ideas to life. We work with leading manufacturers of high performance vehicles, helping them turn their ambitious designs and vision into reality. Through the expertise of our team and state of the art facilities, we deliver high performance components tailored to meet the demanding requirements of our clients' innovative applications. About the role You will play a key role in ensuring the successful delivery of our machined products, working on advanced CNC machining processes and supporting new product introductions. Responsibilities CNC program creation (offline and online) Manufacturing process planning and data control Cutting tool selection and procurement Setting and operating CNC machines for prove out and production Assisting with fixture design Customer liaison on design for manufacture and technical issues Identifying opportunities for process optimisation without compromising quality or tolerances Qualifications Experience in CNC setting, programming, and operating 3-5 axis horizontal and vertical machines Knowledge of Haas, Mazak, or Matsuura machining centres Familiarity with CAD/CAM software (hyperMill, SolidWorks, Fusion 360, Powermill, Mastercam) Understanding of technical drawings, geometric tolerances, and CMM inspection methods Ability to travel to site Benefits 25 days holiday plus bank holidays with the option to purchase more holiday days after your first year Westfield Health Insurance Discounted gym membership Company pension Free onsite parking Additional shift bonus (where applicable) Family Ironbridge Pass What to expect At Grainger & Worrall, we're committed to creating an inclusive workplace where everyone is valued and respected. We believe that diversity drives innovation and excellence. Joining our team means being part of a culture that values positivity, adaptability, and teamwork. We strive to innovate and improve, ensuring everyone shares in our success. We're committed to supporting applicants with disabilities and we're happy to make reasonable adjustments throughout the recruitment process and in the workplace to suit your needs. If you require any adjustments or additional support, please let us know. Right to Work This role is not eligible for visa sponsorship, now or in the future. To be considered, applicants must already possess a long term and unrestricted right to work in the UK for the duration of employment. We are unable to offer or support any form of visa application or future visa extension.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

About The Role Job Level: 10 We are looking for a Lead QA Engineer to join our Engineering capability as a technical authority responsible for architecting, evolving, implementing and governing our strategic automated testing solutions. You will lead the design of complex automation frameworks and define the overarching quality roadmap to ensure high confidence delivery across diverse client engagements. This role involves mentoring other QA engineers, negotiating quality benchmarks with senior stakeholders, and driving the development of internal automation IP to scale best practices across the entire engineering practice. Responsibilities Owns the end to end testing strategy and lifecycle for major projects, devising new techniques while managing the primary technical relationship with the stakeholders. Maintains a hands on approach, taking primary responsibility for building foundational framework components and resolving technical blockers that require expert intervention. Implements automated test solutions setting the "Gold Standard" for clean, performant, and maintainable code. Provides expert direction on framework design and test planning, defining firm wide best practices and automation standards. Consults with stakeholders to determine which non functional quality characteristics add value, leading the overarching strategy to ensure performance, security and reliability are accounted for. Resolves systemic architectural blockers and process inefficiencies by translating complex, conflicting requirements into strategic solutions. Negotiates testing priorities, timelines and regression risks with senior technical and non technical stakeholders across organisations. Governs quality by peer reviewing QA engineers to ensure architectural integrity and business value in all test approaches. Drives practice wide improvement by researching and implementing emerging tools and automation frameworks. Mentors the QA Engineer cohort to cultivate the consultancy's next generation of technical leaders. Provides the final expert recommendation on release readiness based on broad, data driven risk analysis. Continuously maintain and update skills and knowledge to stay current within your relevant field of expertise. Dimensions Budget: N/A Headcount: Typically responsible for directly managing up to 3 people. Resource complexity: Leads functional and technical workstreams across multiple squads or high complexity projects. Directly oversees the work of QA Engineers and defines firm wide standards for delivery coordination. Problem solving responsibility: Independently solves complex problems and contributes to the development of solutions that consider technical, user and business needs. Provides input into decision making and may advise others on best practices. Change management requirements: Supports the planning, communication and delivery of change. May lead smaller scale change initiatives or contribute significantly to larger programmes, ensuring that solutions are adopted effectively. Internal/External interactions: Works confidently with clients, stakeholders and internal teams. Regularly facilitates workshops, delivers presentations and builds strong working relationships with technical and non technical audiences. Strategic timeframe: Operates across mid to long term timeframes (6-12 months), contributing to strategic roadmaps and ensuring alignment of short term activities with broader goals. About You Professional Knowledge and Experience Essential Proven expertise in architecting and implementing scalable automation frameworks from the ground up utilizing industry standard tools like Playwright, Selenium or Cypress while strategically selecting the most appropriate architectural patterns (e.g., POM, Data Driven or Hybrid) to meet complex, long term client requirements. Advanced knowledge of the end to end testing ecosystem, including web, API and mobile tools, with the ability to evaluate and onboard new technologies for different client contexts. Strategic experience in designing the integration of automated testing into global CI/CD pipelines to enable a seamless "Continuous Testing" culture. Capacity to lead technical discovery and scoping for new projects, including the ability to provide high level effort estimations and articulate the strategic value of automation solutions to diverse stakeholders. Advanced SQL and scripting skills (UNIX/Shell/PowerShell) used to architect complex test data management solutions and backend validation processes. Demonstrated expertise in combining advanced technical execution with strategic oversight, successfully driving firm wide quality standards while providing cross project mentorship and guidance. Desirable Previous experience in a consultancy or central government environment is highly advantageous. Proven ability to operate across diverse programming languages and technical stacks, with the capacity to evaluate and implement emerging technologies across different client environments. Experience with Ruby and using Ruby based automation frameworks, including Capybara, to design and maintain robust end to end test suites. Proven track record of shaping or leading internal Communities of Practice or Centres of Excellence to drive high standard testing methodologies across an organisation. Prior experience in Non Functional Testing (NFT). Previous experience in managing or formally leading a multi person test team. Technical Skills Expertise in defining and enforcing firm wide standards for clean, maintainable and reusable code across multiple teams or projects. Ability to architect modular test frameworks that balance immediate delivery needs with long term technical debt management. High level proficiency in conducting architectural code reviews, focusing on performance, security and systemic reliability. Expertise in creating reusable automation IP (libraries, templates or plugins) that increases the firm's delivery speed across new and existing accounts. Expertise in orchestrating and monitoring automation within a CI/CD context to provide high level quality reporting to stakeholders. Proficiency in API testing and the integration of automated security or performance checks into the API layer. Behaviours Analytical Thinking & Problem Solving Applies high level critical thinking to evaluate systemic quality issues and technical debt across the organisation, identifying the most effective automation strategies to maximise long term ROI. Resolves high complexity architectural bottlenecks and framework limitations that impact the productivity of multiple engineering squads or the wider consultancy practice. Strategic Communication Translates complex technical risks and quality metrics into clear, actionable business insights for senior stakeholders and clients to influence delivery timelines and product roadmaps. Acts as a primary technical advisor, bridging the gap between engineering, product and business leadership to ensure quality is a shared responsibility at an organisational level. Mentoring & Leadership Cultivates a high performance testing culture by setting technical standards, defining career development paths for the QA chapter, and coaching Senior Engineers into leadership roles. Drives the adoption of modern automation best practices and emerging methodologies across the entire consultancy, ensuring a consistent "Gold Standard" of delivery. Adaptability & Risk Management Proactively identifies and mitigates high impact, cross project risks, ensuring the testing strategy remains resilient in the face of shifting business priorities or organisational changes. Leads teams through ambiguity and high pressure scenarios, making high stakes decisions on resource allocation and release readiness with confidence. Strengths, Drivers and Traits Strategic Growth Driver: Passionate about evolving the consultancy's automation IP and setting the "Gold Standard" for technical excellence across the entire engineering practice. Quality Governance Authority: Driven by the responsibility of defining organisational quality benchmarks and ensuring testing strategies align with high level business value. Influential Technical Advisor: Composed under pressure, with the ability to navigate ambiguity and translate complex technical risks into clear, actionable insights for senior stakeholders. Benefits 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave Life assurance Employer pension contribution of 5% Health cash plan Personal learning and development budget Employee Assistance Programme Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme Financial advice Health assessments We actively encourage applications from all genders, ethnicities, disabled people, members of the LGBTQIA+ community, and those from lower socio economic backgrounds. Don't meet 100% of the criteria? We still want to hear from you. Please let us know if you require any adjustments during the recruitment process.

6 months initially - Cardiff - £22p/h 12 hour shift patterns (various shift patterns available to suit) We are looking for someone who can help with batch processing and job scheduling for a Datacentre in Cardiff. If you have experience of a job scheduling tool, particularly Control M, we would love to hear from you. We are also looking for a candidate capable of systems monitoring and management, observing monitoring consoles and event driven alerts. Key Responsibilities Coordinating with vendors when support calls are raised for assistance (e.g. BT) Calling on on call expert staff to respond to out of hours incidents (e.g. DBA team, Network team) Taking first line corrective action for agreed and documented administrative systems (e.g. re sending faxes which have failed delivery) Running & monitoring traditional batch schedules, including using automated tools such as Control M, Visualcron, etc. Managing jobs/scripts to release development changes into production Other Physical Duties Daily removal of tapes and boxing up for off siting Activities in the datacentre on power down weekends in support of engineers Test access to systems to prove availability (e.g. logon to an application) Conduct physical patrols to ensure datacentre temperature etc. (in addition to watching automatic building management alert systems) All other ad hoc activities reasonably required or expected to ensure smooth operation of the batch processing and datacenter operations as requested under the supervision of an Operations Coordinator Ensure security and access procedures are followed, this includes maintenance of related logs and records If this sounds like you, please apply now for more details!

What we do :At Sonoco Chesterfield we manufacture composite cans used as packaging mainly for food and powdered beverages.You have probably seen some of our products on the shelves in the supermarket: Pringles, the nation's favourite Bisto, Nestlé Coffee Mate, SlimFast powdered beverages, Heinz Baby Food, etc We are aiming to be one of the first fully paperboard cylindrical packing supplier, where our packaging is durable and 100% recyclablePurpose of Job:Within the operations department and reporting directly to the Engineering Manager, your role is to improve the efficiency and reliability of our plant manufacturing processes by application automation.Your day to day job will consist in:Supporting the production and engineering team through line breakdowns, supporting fault finding of the root cause and designing the issue out in the shortest period possible.You'll be supported by the shift engineer team; the process improvement engineers as well as our operators.Running Automation projects to plan for continued upgrade of equipment and control systems, ensuring none of our equipment becomes obsolete and out of date.You will also be involved in projects and day to day activities in our sister site at Bradford.Additional support required for: 5S, SMED, Centre lining, Process Control Automation, product defect identification systems, component lifespan identification.Machines installation & qualifications on site: Factory Acceptance Test, Commissioning, Team Training.New products introduction : trials of new materials and new products launch support at manufacturing level.Role within the company and stakeholder interactions:The candidate will report to the site Engineering Manager.The candidate will have to interact with multiple stakeholders on a day-to-day basis: Manufacturing, Engineering, Warehouse, Supply Chain , sister plants (based in Europe), SuppliersThe Automation Systems Engineer will be expected to be a subject matter expert and be able to guide/mentor engineers within the business.Key Activitiesprovide technical support to all areas daily across electrical, mechanical and automation disciplines.Configuration and programming of controllers and visualizations systems using Siemens (Simatic Manager and TIA Portal and WinCC flexible software).Project planning and programming of drive technology and servo drives - with emphasis on SEW Drive as well as Allen Bradley systems.Development, conception, design and creation of hardware / circuit diagrams.Automation troubleshooting following a recognisable troubleshooting process.Experience with bus systems and bus technology such as "Profinet" and "Profibus" with knowledge of systems such as ASI bus and CAN bus.Project Management and Project Coordination of site automation projects.Utilise AutoCad/Cad systems to maintain documentation updates, producing 2D CAD drawings of control panels, P&IDs and electrical wiring diagrams.Provide onsite services to assist in start-up or troubleshooting.Support and lead automation activities at both the Chesterfield and Bradford Production Sites.Develop HMI's for operator use.Coordinating with cross-functional team(s) to resolve automation issues.Write programs for new designed automatic and semi-automatic machines and conveyor systems for Siemens and Allen Bradley hardware.Debug and test new or modified PLC and robotic programs on the production floor.Conduct comprehensive machine and system testing.Ensure the department operates with due regard to current legislation, company and statutory requirementsEnsure the safe and efficient operation of equipment throughout the siteInstallation of production and plant equipment, commissioning, breakdown analysis and repairIdentify areas in which engineering improvements can be made to increase safety, quality, efficiency, or reduce wasteAssist with the training of company apprentices and shift EngineersAssist with developing operational manuals for newly designed machines and conveyor systems.Assist in risk assessment of newly designed machines with emphasis on machine safety.Help refine and develop programming standards and methods.Coordinate with other engineers and programmers on large systems and machines.Maintain and enhance the software and robotics solutions for the two sites.Maintain and document the appropriate software changes and updates to support equipment modifications and continuing operation.Work with Manufacturing/Operations to identify and troubleshoot machine control failures.Specify instrumentation and control hardware for equipment upgrades and future equipment lines.Will keep in line with new technology and advise the site accordinglyRunning testing and diagnostics on IT systems to identify potential problem.Identifying and resolving malfunctions within the system.Developing and installing new hardware or software to update and improve the functionality of systemsLiaising with outside suppliers or developers to source the most effective hardware or software for the company's needsCreating schematics plans of the systemBuilding robust backups that can be accessed in the event of system failure.Training shift Engineers and Process Improvement Engineers to work within the systems and to resolve issues on their own.Liaising with operational staff to ensure that systems can Complete designed tasks toLead improvement activities/projects across site, covering all equipment and facilities.Key Measurables:% Unplanned Downtime on focus machinery% Implementation of project work% People trained to correct operating level on focus machinery% People trained on problem solving$ saved by continuous improvement projects implementedCANDIDATE'S EXPERIENCEQualifications and ExperienceRequired:HNC/Degree qualified Electrical EngineeringProven Knowledge and experience in Siemens S5, S7, Allen Bradley. (this includes all aspects of drives, inverters and programming)Proven capability in Problem Solving (8D, Green Belt Lean 6 Sigma, UPS, A3, )Experience in a FMCG environmentDesirable:Graduate Masters / Bachelor in a Technical / Manufacturing / Sciences subject2 year or more of experience in a process control / engineering roleElectrically Biased multiskilled Engineering backgroundLean Six Sigma Green Belt qualified or equivalentSkills and KnowledgesAbility to analyse complex sets of data quickly.Priorities activities based on daily workload and medium projects.Ability to train and coach people.Excellent communication: written, spoken, visual.Excellent computer skills: mainly Microsoft Excel, PowerPoint, and emailPersonal AttributesMust be curious.Must be willing to learn and develop personal knowledge.Bias for action / Enthusiastic with drive for continuous improvementMust be an excellent team player with good interpersonal skills able to communicate at all levels.Logical with a key eye for detailsExcellent customer focus required.Must be willing to travel, both UK and EuropeWorking EnvironmentThe position is based in Chesterfield plant but can require visits to our manufacturing plants in UK & Europe as well as visits to our Suppliers or Customers in the UK. are an equal opportunity employer, and we strictly prohibit and do not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, national origin or ancestry, sex, pregnancy, sexual orientation, marital status, gender identity or expression, age, disability, genetic information, veteran status, or any legally protected characteristic.

AI Solutions Engineer Please note - there is no visa sponsorship available for this role or fully remote working. What would a typical day look like for you? As an AI Solutions Engineer reporting to the Data and Analytics Delivery Manager and working with Data Scientists in both Danske Bank UK and Europe, you'll be a driving force in revolutionising our AI initiatives. You will innovate and deploy leading edge solutions on platforms like MS Azure and AWS, working on knowledge assistants and agents, leveraging the OpenAI and anthropic models, and contributing to proof of concept projects that will shape our ecosystem's future. You'll work on robust AI applications, ensuring seamless integration with CI/CD pipelines, mastering cloud infrastructure by blending AWS with non AWS solutions, and tackling financial services industry challenges head on. You will also collaborate with cross functional teams, including AI teams within the wider Danske Bank organisation, to utilise the pre built infrastructure, driving impactful and dynamic AI projects that deliver bespoke solutions, advancing our strategic goals. What you will do Including but not limited to: Understand organisational and financial services challenges and spearhead how integrating AI capabilities can help lead to successful solutions. Design and implement cloud based solutions, with a focus on deploying AI agents and knowledge bots within the AWS and Microsoft technology stack. Deliver robust software engineering solutions that meet business requirements and enhance system performance. Display strong stakeholder management and influence through consistent collaboration, to understand their needs and translate these into technical requirements for AI solutions. Implement monitoring systems to track performance of AI models in production and perform regular maintenance to ensure reliability and accuracy. Ensuring AI solutions adhere to ethical guidelines and best practices, including fairness, transparency, and accountability. Maintain thorough documentation of AI projects and provide regular reports on progress, challenges, and outcomes to relevant stakeholders. Providing training and mentorship to junior team members and other departments to build AI literacy and capabilities within the organisation. Display strong communication skills by liaising with data scientists, data engineers, and architects. Utilise productivity and organisational skills through timely completion and accuracy of process documentation. Ensure projects are delivered at pace, aligning with the bank's strategic objectives, demonstrating agility and problem solving skills to overcome challenges. What skills & experience will you need? Essential Proven ability to implement infrastructure and models that support key business deliveries and objectives. Ability to adapt to new or emerging technologies and methodologies, demonstrated through ongoing professional development and training. Ability to produce complete and accurate documentation of processes, evaluated through reviews and usage metrics. Ability to foster an environment of continuous improvement, contributing to innovative solutions and initiatives within AI practices aligned to business goals. Experience in enhancing AI model accuracy, efficiency and predictive capabilities, with demonstrable performance metrics. Preferred Bachelor's degree in Computer Science or Software Engineering. Experience deploying AI within AWS and MS Azure. Experience using Docker, Airflow and Openshift. Cloud Certification. Data science model review, code refactoring, model optimisation, containerisation, deployment, versioning, monitoring of model quality and non functional requirements. Your benefits We're offering a competitive salary. We also provide an attractive range of flexible benefits centred on wellness, financial, psychological, physical and social. Everyone's circumstances differ, so benefits can be tailored to your needs. If you want to buy more holidays, need medical treatment, or want to expand your savings, we have options. Non stop discounts, gym membership savings, and salary sacrifice car benefit are also available. How we work Our belief is that we are "Better when Together" and want to balance the benefits of teaming up in person with flexible working where possible. We will be supportive and flexible to your circumstances, so for roles that offer a hybrid option we ask colleagues to attend their base location a minimum of 3 days a week so they can connect, collaborate and learn together. The other 2 days can be worked either from home or another bank location. Some of our roles are customer facing which means that it's really important to be able to work with customers face to face and hybrid working isn't appropriate. Equal opportunity statement Danske Bank is proud to be an equal opportunity workplace. That means that, as a committed equal opportunities employer, we welcome applications from all suitably qualified candidates regardless of gender, ethnicity, background, nationality, generation, age, working style, religious background, sexual orientation, gender identity, gender expression, cognitive diversity and neurodiversity. If you have a disability, long term health condition or additional need that requires accommodation during any stage of the recruitment process, please advise us of this on your CV and a member of the team will be in touch to discuss.