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Pay: £20.88-£27.98 per hour \n Job Description: \n\n \n \n \n £1,000 Sign-On Bonus \n £500 payable upon completion of 30 days continuous employment and a further £500 payable upon completion of 60 days continuous employment. Terms and conditions apply. \n Job Description: \n Class 1 Driver Store Deliveries \n Taskmaster are currently recruiting for Class 1 Drivers to support one of our clients based in DN4, completing store delive... \n \n \n \n \n \n \n \n\n \n ZIPC1_UKTJ

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

.NET Developer, .NET 9, C# - Digital Download Site - Newport Pagnell, Milton Keynes, Buckinghamshire (Tech stack: .NET Developer, .NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, .NET Developer) With operations in over 20 countries our client has fast become a major player within the digital download arena. In addition to an award winning website they have launched mobile apps for the iPhone and Android market, the latter of which has been featured on Google Play. They have created a real buzz in the industry have been written up in TechCrunch, The New York Times, The Guardian and many more. They are going through a period of explosive growth and need your help! We are seeking gifted .NET Developer to join their close-knit and extremely talented technical team. We are looking for .NET Developer who are ambitious about building a quality service which brings delight to their users. .NET Developer should be experienced in: .NET, .NET Core / ASP.NET MVC, C# and Azure SQL. You will be trained in all aspects of: .NET 9, Web API 2, Entity Framework, Microservices, Azure, JavaScript, Angular 19, Bootstrap, Agile and MongoDB. Top performers can expect to receive their first promotion (and pay rise) within 6 months. Our client offers a unique working environment including a free onsite restaurant, relaxation pods, games room, background music while you work and flexible working hours. Location: Newport Pagnell, Milton Keynes, Buckinghamshire, UK / Remote Working Salary: £35,000 - £45,000 + £10k Sign-On Fee + Bonus Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC

  About CAI  CAI Software builds digital work execution platforms and software solutions that help manufacturing businesses operate with greater clarity and control. Our people bring structure to complexity by replacing fragmented, paper-based processes with connected digital workflows that improve visibility, compliance, and decision-making in real industrial environments. With 45+ years of experience and a presence across 10+ countries, CAI combines deep industry understanding with practical technology. Our team consists of ~800 employees worldwide who work across 15 core industries and support 5,000+ customers, guided by sound judgment, long-term thinking, and outcomes that endure.     CAI Business Units and the Markets We Serve  CAI Software is organized into three business units - Graphic Communications, Process Manufacturing, and Discrete Manufacturing – aligned to the markets we serve. This structure allows our teams to stay close to customer needs while operating with the scale and support of a global software company.       This role is part of our Graphic Communications business unit, which serves the global print and Graphic Communications industry with ERP and production software designed for commercial printers, Graphic Communications manufacturers, promotional and transactional print providers, sign and display manufacturers, and in-plant print operations. Our solutions help customers manage complex production environments, improve operational visibility, and deliver high-quality products efficiently and profitably.      CAI is looking for a Project Manager to join our Graphic Communications Segment operations team.  This role is a remote role located in the UK but it would be highly desirable for the applicant to have French language skills. We are looking for someone who has experience in large-scale software implementations, has good project management experience and knows how to develop and organize a project plan from discovery to go-live.  Job Description: In this role, you will be responsible for managing the implementation of Graphic Communications ERP solutions enabling our customers to achieve their business objectives and operational results.  This will include but not be limited to project management and delivery, stakeholder and customer relationship management, aligning with customer strategy, policy and procedures, product customizations and scope management, team leadership, financial management, partnering with the customer to advise and guide on change management issues and identifying Graphic Communications PMO process improvements. Main duties and Responsibilities: Project Management and Delivery • Development of project plans – including estimation of resource requirements (skills, software, hardware etc) and timeframes, scheduling, budgeting, dependency identification and management, and change management planning, • Management of project delivery according to approved project plans, objectives, budgets and document progress, • Stakeholder management – through active involvement and regular communication with key stakeholders, • Project status reporting to key stakeholders including progress against milestones, issue and risk management details and budget versus actual costs, • Management of project issues and risks – including: issue and risk identification, logging, assessment and treatment strategies, • Management of project scope change through defined project change management processes, • Alignment of projects to strategic and operational plans of the Customer, • Conduct of Post Implementation Reviews to identify and implement process improvement for future projects, • Completion and filing of project documentation Consultative Relationship Building • Active promotion and realization of the benefits and value associated with project delivery and professional service delivery in particular., • Earn the trust of key client executives and personnel through demonstrated expertise, high quality delivery, and candid insight, • Actively seek opportunities to expand value to the client within current scope and through proposal of project extensions and additional projects Profitability Management • Managing chargeability of Graphic Communications services resources, • Managing personal chargeability, • Management of stakeholder expectations in line with delivery capability and priorities, • Alignment of deliverables and business needs and requirements. Customer awareness of an agreement with scope and contract terms.  Obtaining signoff on completion of deliverables., • Managing invoicing process including proactively building client understanding of invoiced charges. Job Requirements: • Bachelor’s degree or equivalent experience, • Fluent in English and French. A good level of competence in any other European languages would be a plus, • 8+ years including a combination of relevant industry experience and project management experience, • Ability to manage customer expectations in accordance with work priorities, • Strong inter-personal and relationship management skills, • Effective verbal and written communication skills, • High level of presentation/persuasive communication skills, • Knowledge of Print industry would be a bonus

.NET Developer, .NET 9, C# - Digital Download Site - Cheadle, Stockport (Tech stack: .NET Developer, .NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, .NET Developer) With operations in over 20 countries our client has fast become a major player within the digital download arena. In addition to an award winning website they have launched mobile apps for the iPhone and Android market, the latter of which has been featured on Google Play. They have created a real buzz in the industry have been written up in TechCrunch, The New York Times, The Guardian and many more. They are going through a period of explosive growth and need your help! We are seeking gifted .NET Developer to join their close-knit and extremely talented technical team. We are looking for .NET Developer who are ambitious about building a quality service which brings delight to their users. .NET Developer should be experienced in: .NET, .NET Core / ASP.NET MVC, C# and Azure SQL. You will be trained in all aspects of: .NET 9, Web API 2, Entity Framework, Microservices, Azure, JavaScript, Angular 19, Bootstrap, Agile and MongoDB. Top performers can expect to receive their first promotion (and pay rise) within 6 months. Our client offers a unique working environment including a free onsite restaurant, relaxation pods, games room, background music while you work and flexible working hours. Location: Cheadle, Stockport, UK / Remote Working Salary: £40,000 - £50,000 + £10k Sign-On Fee + Bonus Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker), • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale., • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices., • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps., • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions., • Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms), • Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Software Engineer – Identity and Access, Identity Squads This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Every day, millions of users rely on Grafana to monitor the health and performance of their critical systems, from software applications to factories and even space shuttles. Our mission is two-fold: to provide a seamless and effortless sign-in experience for all users, and to ensure administrators have complete peace of mind, knowing that every user has secure access to precisely the data and functionality they need. The Identity and Access team at Grafana manages all aspects of authentication and authorization, working across both our open-source and proprietary codebases. The Identity squad, within the team, owns the authentication layer — the protocols and flows that determine how every Grafana user proves who they are. We actively implement cutting-edge authentication protocols such as MCP OAuth (OAuth 2.1), OIDC, SAML, LDAP, and SCIM, rather than relying on off-the-shelf components. We are completely redesigning Grafana’s authentication at the edge — a rare opportunity to shape the technical direction of authentication infrastructure at scale, with a direct impact on millions of users every day. Our code paths sit in the critical hot paths across Grafana’s services, making every millisecond of performance essential. As a Staff Engineer, you will be central to defining how we evolve these systems. What You’ll Be Doing: As a Staff Engineer on the Identity squad, you will set the technical direction for our authentication systems and lead the most complex initiatives from conception through delivery. You will collaborate closely with engineering leadership, product management, and cross-functional partners to define how Grafana authenticates millions of users every day. • Approximately 55% of your time will be dedicated to backend development (Golang), 25% to technical leadership and cross-team collaboration, and 20% to operations and reliability., • Define and own the technical architecture for the Identity squad’s authentication systems, including our edge authentication redesign., • Lead the design and implementation of large-scale, multi-quarter initiatives in the critical path of user interaction, spanning multiple services and teams., • Mentor and develop senior engineers, providing technical guidance, design feedback, and support for their professional growth., • Serve as a technical authority for identity protocols at Grafana, driving alignment on how we implement and evolve OAuth, OIDC, SAML, LDAP, and SCIM across the organization., • Drive cross-team technical alignment on authentication standards, patterns, and best practices across Grafana’s engineering organization., • Represent Grafana Labs at meetups and conferences, and contribute to the broader identity and authentication community. As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and strong communication skills are essential. What Makes You a Great Fit: • Deep, proven expertise in distributed systems engineering with Go, with a track record of owning and delivering large-scale production systems end-to-end., • Demonstrated ability to define technical direction and drive architectural decisions independently, with impact that extends beyond your immediate team., • Extensive experience building and operating low-latency, high-throughput services in distributed, multi-tenant environments., • Proven track record of leading and delivering complex, multi-quarter initiatives that span multiple teams or systems., • Ability to mentor and develop senior engineers, elevating the technical quality and capabilities of those around you., • Strong understanding of SLOs, SLIs, error budgets, and how to design systems that balance reliability, security, and product velocity., • Excellent written and verbal communication skills in English; able to clearly convey complex technical decisions to diverse audiences, including engineering leadership and non-technical stakeholders., • Expert-level understanding of modern identity standards and threat models (OAuth 2.x / 2.1, OIDC, SAML), and how to implement them securely at scale. Bonus Points For: • Familiarity with Kubernetes., • TypeScript/React experience., • Experience working with OpenFGA and KiFederate IDP., • Experience working in security critical environments., • Experience contributing to or maintaining Open Source projects., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry). Compensation & Rewards: In the UK, the Base compensation range for this role is £100,000 - £124,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

.NET Developer, .NET 9, C# - Digital Download Site - Briantree, Essex (Tech stack: .NET Developer, .NET 9, C#, WPF, XAML, .NET MAUI, Xamarin, JavaScript, REST APIs, Programmer, Full Stack Engineer, Architect, .NET Developer) With operations in over 20 countries our client has fast become a major player within the digital download arena. In addition to an award winning website they have launched mobile apps for the iPhone and Android market, the latter of which has been featured on Google Play. They have created a real buzz in the industry have been written up in TechCrunch, The New York Times, The Guardian and many more. They are going through a period of explosive growth and need your help! We are seeking gifted .NET Developer to join their close-knit and extremely talented technical team. We are looking for .NET Developer who are ambitious about building a quality service which brings delight to their users. .NET Developer should be experienced in: .NET, C#, Windows app development and SQL Server. Any knowledge of the following is desirable however full training will be provided to fill any gaps in your skill set: WPF, XAML, .NET MAUI, Xamarin, JavaScript and REST APIs. Top performers can expect to receive their first promotion (and pay rise) within 6 months. Our client offers a unique working environment including a free onsite restaurant, relaxation pods, games room, background music while you work and flexible working hours. Location: Briantree, Essex, UK / Remote Working Salary: £50,000 - £60,000 + £10k Sign-On Fee + Bonus Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC

In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none. You'll be working across the back-end: • Constructing a real-time digital twin of our renewable generation and customer demand, • Developing messaging interfaces with our third-party providers, • Building high-volume pipelines for processing customer energy consumption, • Build the backend of a world class energy app For this role, you should be able to think on your feet and adapt to new business needs as well as take ownership of projects and drive change. As an early member of the Fuse Energy team you will help bring clean, cheap electricity to households around the world. • Demonstrable excellence as a Software Engineer, • Ideally 2+ years experience, • Proven ability to define and build complex systems, • Hands-on experience shipping highly-available production systems, • Clear communication Bonus • Experience with infrastructure as code (e.g. AWS CDK), • Experience in the Energy sector, • Experience shipping consumer-facing products, • Competitive salary and a stock options sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs!, • Paid annual leave, • Breakfast and dinner for office based employees

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

Pay: £20.00 per hour Job Description: £1,000 Sign-On Bonus £500 payable upon completion of 30 days continuous employment and a further £500 payable upon completion of 60 days continuous employment. Terms and conditions apply. Pay rate: £20.00 per hour Monday to Friday: 9 hours guaranteed Weekend shifts: 12 hours guaranteed Breaks: No break deduction over the weekend START TIMES CAN BE ANYWHERE BETWEEN 13:00-18:00 Job Description: ???Temp to Perm ??? HGV Class 1 (C+E) Driver Doncaster DN2 | ???Temp to Perm ???| SunThu | Nights Were recruiting HGV Class 1 (C+E) drivers for a well-established retail logistics operation based in Doncaster (DN2). Multiple vacancies available on a temp-to-perm basis. Youll be working with a modern and flexible fleet (up to 44T artics), supporting the delivery of shop fitting equipment such as units and refrigerated shelving, including multi-drop and out-of-hours deliveries. Pay rates

About The Sofa Delivery Company At The Sofa Delivery Company, we know that a sofa is one of the most meaningful things someone can buy.Thats why were on a mission to be the best two-person delivery company around, delivering great experiences to our customers that count. As part of the DFS group, we deliver for our group brands - DFS and Sofology. Our colleagues are given the tools, training and support to make moments matter. We recognise and reward our people for going the extra mile, for our customers and each other.Whether youre in the warehouse, out on the road, or in a customers home, at The Sofa Delivery Company, youll deliver moments that matter. Heres what we offer: The Highlights: Great Pay: A competitive salary of xxx per annum (xxx per hour) plus an annual bonus of up to £2000 (paid quarterly) for delivering an amazing service. Fantastic sign on bonus of £1000 which is then paid in two instalments of £500 after 3 months, £500 after 6 months! * Delete where appropriate* Location supplement of £2,000 of which will be payable from July 2026 * Delete where appropriate* The Ultimate 4-on, 4-off Balance: Work 7am 7pm and then enjoy 4 days to relax, recharge and enjoy life outside of work, including annual leave, thats the equivalent of working less than 6 months of the year! Its predictable, guaranteed (39.35 hrs/week), and permanent.