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.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

.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

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

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 .

📈 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.

• Role: British Sign Language (BSL) Interpreters required!, • Start date: July 2026, • Location: Work from home, • Salary: £43.96 per hour, • Bonus: Bonus up to 10% p/a, • Operational hours: 8am - 10pm Monday to Sunday, • Shifts: We are looking for highly flexible interpreters who can cover evening and weekend shifts as required during our operational hours, • Qualifications required:, • Level 6 NVQ Certificate in British Sign Language, • Level 6 NVQ Diploma in Sign Language Interpreting, • Role Overview We are seeking qualified and professional British Sign Language (BSL) Translators/Interpreters to join a remote team supporting communication between deaf and hearing individuals. This is a work-from-home opportunity offering flexible hours and competitive pay. Successful candidates will provide accurate and clear interpretation between spoken English and British Sign Language, helping ensure effective communication in a variety of settings. Interpreters will work remotely and may support scheduled or on-demand interpreting sessions. Essential Duties and Responsibilities include the following: • Provide effective Video Remote Interpreting, • Support and model the company's mission and values, • Provide excellent customer service while maintaining a respectful and professional attitude with customers and colleagues, • Always exhibit professional behaviour including punctuality and preparedness for shifts, respectful and collaborative interaction with colleagues and supervisors and timely and accurate record keeping, • Demonstrate the ability to adapt quickly to new and changing technologies, • Multitask between interpreting effectively and utilizing calls, • Participate in company sponsored training for Professional Development, • Exhibit the ability to meet performance expectations with minimal supervision, • Possess the ability to work effectively in a fast paced, dynamic environment, • Demonstrate strong interpersonal skills in all settings Minimum Qualification Requirements: • Level 6 NVQ Certificate in British Sign Language, • Level 6 NVQ Diploma in Sign Language Interpreting, • Technical knowledge for interpreting IT/Customer Support calls, • Able to provide accurate interpretation, • Good understanding of Deaf culture, • Three to five years’ experience in interpreting (working experience in a professional BSL interpretation support role) ESSENTIAL COMPETENCIES • Empathy and Understanding: Showing genuine care and empathy is essential. Customers who feel understood are more likely to trust and respond positively to guidance or resolutions, • Clarity and Professionalism: Communicating clearly and accurately, whether on the phone or by email, can make a significant difference. This includes explaining options or next steps in straightforward language, avoiding jargon, and being patient with customer questions., • Consistency and Reliability: Establishing a clear and supportive response that remains consistent across all interactions can reassure customers, especially in sensitive cases where they need to feel valued and secure., • Listening Skills: Often, these customers may need to share more details than usual to feel understood. Actively listening, without rushing, helps in accurately addressing their concerns and identifying suitable solutions., • Organisational skills:You will have excellent attention to detail, time keeping along with strong planning and scheduling abilities, • Follow-Up and Resolution: For sensitive or brand-related cases, timely follow-up shows commitment and reinforces trust, especially if additional steps are needed to resolve an issue fully. What you get from us: • Perks at Work – Savings Discounts / Free Online Classes, • Help@Hand - Savings Discounts / Podcast / Wellbeing Recourses / Webinars / Access to; GP’s, Mental Health Support, Financial Advice, Legal Advice, • Critical Illness – up to £10,000, • Cycle to Work Scheme, • Eyecare support voucher, • Holiday Purchase Scheme, • Length of Service Awards, • Workplace Pension, • Monthly Inspire Awards – For the best of the best, • Refer-A-Friend earns up to £1,200 for you, • Monthly Wellbeing Webinars, • Dedicated Employee Experience Progress – Here to support TP journey The other important stuff: The role you are applying for, requires that you are vetted to Baseline Personnel Screening Standard (BPSS). If your application is successful, you will ask you to provide documents/evidence to allow us to perform the below checks: • Identity check, • Nationality and Immigration Status (including the entitlement to undertake the work we are offering), • Basic Criminal Records Check, • Employment/Academic History Check - for a period three years leading up to your application., • We will require documented evidence of your three-year history. employer/education references, payslips/P45, other evidence of salary payments. If you had any gaps in work/education during this time, we will need evidence of what your activity was, e.g. travel, study, unemployment, volunteering etc. If your application is successful, we will provide you with a list of acceptable documents and how you can send them to us. Disclaimer Please be vigilant against job scams. Teleperformance will never contact you about anything other than your application through our official channels - UK phone number, text or Teleperformance or talent.icims email address. . If you receive any suspicious communications claiming to be from Teleperformance, please disregard them and report the incident to our team. Your security is our priority. #Priority

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 £31,464 per annum (£15.37per 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! 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. Stress-Free Routing: No guesswork. Our 'Apollo' route planner creates efficient journeys to take the stress out of route planning Enjoy driving vehicles that are well maintained Theres more Generous Discounts: 30% off DFS and Sofology products for you, plus 15% for friends and family. Wellbeing Support: Access to a range of perks, including retailer discounts, free on-site physio sessions, and health services. Career Growth: Tools, training, and support to help you grow with us. Enhanced Leave: Maternity, paternity, adoption leave, and more. Youll work as part of a skilled 2-person delivery team, completing 1015 deliveries a day and installing furniture in customers homes.This is a hands-on, physically demanding role involving regular lifting of heavy items and navigating stairs and tight spaces. If you take pride in doing a job properly, youll thrive here. What you'll be doing Complete all deliveries into customers homes in a safe and professional manner. Communicate effectively with the customer prior to delivery to ensure that they know youre on your way to their address. Ensure furniture is delivered to the room requested by the customer and that we do not leave them with any rubbish to dispose of. Represent The Sofa Delivery Company values and those of our brand partners in everything that you do. Work with your team and senior managers to provide feedback and continually improve the standards of service we offer. Carry out daily inspections of allocated vehicles and equipment, informing the line manager of any defects/missing items immediately. Comply with all driving laws as defined by the government and all company policies and procedures. The role is for you if... You hold a 7.5T Licence/Grandfather rights/ROI equivalent, up to date Digi Tacho, CPC Card and valid manual driving licence Youve held a valid drivers licence for 12 months with less than 6 points Youre ready to work as part of a supportive two-person team. Youre great with people and enjoy helping customers. Youre comfortable installing and lifting heavy furniture in different home settings. Youve got strong time management skills and thrive on variety. You take pride in your work and value safety of yourself and those around you. We're committed to a culture where everyone feels welcome, valued, and can thrive at work. We celebrate diverse voices, champion inclusion, and support each other through our growing colleague networks.We invest in partnerships that drive change, from supporting Doncaster Pride and introducing the Hidden Disabilities Sunflower, to partnering with Carers UK and developing leaders with Diversity in Retail. We're proud to be an equal opportunities employer, committed to building a workplace that reflects the communities we serve. So, if your experience doesn't quite match the specification, we'd still really love to hear from you. TPBN1_UKTJ