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Role: Deskside Support Engineer Job Type: Full Time Job location: Manchester, UK (5 days from office) Mandatory skills: Windows 11, MECM, InTune, O365, ITIL, Problem Management, Service Now, Application deployment, Hardware repair Position Overview: We are seeking a highly skilled and detail-oriented end user computing Engineer to join our team existing DSS team. In this role, you will be part of a DSS team responsible for supporting business users for IT related issues, New Joiner onboarding, Meeting room supports, reimaging machines, application installation, printer support and Win 11 operating systems across our organization. You will have strong knowledge in Windows operating systems, Mac OS, system configuration, and troubleshooting will all play a critical role. Skills Windows 11, MECM, InTune, O365, ITIL, Problem Management, Service Now, Application deployment, Hardware repair Key Responsibilities: 1. Reimaging Machines: Own the reimage laptops/desktops via SCCM using PXE. Maintain spare built machine within the business for user allocation in case of laptop swaps., 2. User Onboarding/Offboarding: Onboard new users and set up new laptop. First time user setup, MFA and updating CMDB with the asset details., 3. Troubleshooting and Support: Provide advanced-level support to resolve Office or Operating systems related issues, including troubleshooting OS installation, application compatibility, driver conflicts., 4. Documentation: Create and maintain detailed documentation around existing processes, standard operating procedures, and best practices for reference and knowledge sharing., 5. InTune: Onboard devices in InTune and provide support., 6. MAC Support: Hands on with Mac support, reimage Mac machines, JAMF, 7. Office 365 - Support Office 365 related queries, 8. Continuous Improvement: Stay updated with the latest Windows 11 features, and industry trends to identify opportunities for process optimization and enhancement. Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience., 2. ITIL Certified, 3. Proven experience as a deskside/end user computing or similar role,, 4. In-depth knowledge of O365, Operating system. Windows 11, Mac OS, JAMF technologies., 5. Strong proficiency in image creation, customization, and application packaging is an added advantage, 6. Knowledge of ITSM tools, Service Now, 7. Excellent troubleshooting skills with the ability to diagnose and resolve complex issues., 8. Strong communication skills to collaborate effectively with cross-functional teams and stakeholders., 9. Certifications such as Microsoft Certified: Windows 10 or Windows 11, and CompTIA A+ are a plus., 10. Ability to adapt to a dynamic environment, 11. Collaborative and inclusive work culture that values innovation and teamwork. Planning & Organisational Skills Essential 1. Must be able to prioritise own work effectively and be able to direct activities of others, 2. Adaptability, flexibility and ability to cope with uncertainty Communication & Relationship Skills Essential 1. Works well within a team, 2. Must be able to provide and receive complex, sensitive or contentious information, 3. Significant experience of working in an IT customer support environment, and providing a high level of customer service

Join a mission-driven, Series A scale-up following a record-breaking funding round. They are scaling their engineering team to deliver a subscription model for energy systems. You will join a high-calibre, lean engineering squad working directly with the Head of Engineering and Product leadership. This is a role for an engineer who wants to build products that have a tangible, positive impact on both consumer wallets and the planet. Responsibilities • Writing clean, high-quality, high-performance, maintainable code, • Develop and support software including applications, database integration, interfaces, and new functionality enhancements, • Coordinate cross-functionally to insure project meets business objectives and compliance standards, • Support test and deployment of new products and features, • Participate in code reviews Qualifications • Bachelor's degree in Computer Science (or related field), • 5+ years of relevant work experience, • TypeScript, Node, Postgres, AWS, InfluxDB, • Experience with Agile or Scrum software development methodologies, • Ability to multi-task, organize, and prioritize work, • UK Citizen or Settled Status without the need for sponsorship If you believe you have the required skillset and experience for this position, please apply for immediate consideration.

AYES is looking for a Software Engineer AYES, an international engineering and technology consultancy founded in Italy, is continuing its growth and expanding its UK team. We are looking for a Software Engineer experienced in SW development, embedded systems, and software engineering for complex technical projects. ⚡ Your profile • University degree (BSc or MSc) in Computer Science, Software Engineering, Electronic Engineering, or a related field., • Minimum of 3 years’ experience in software development, with a strong focus on C++ and embedded systems., • Experience developing software for real-time or safety-critical systems., • Familiarity with software architecture, testing, debugging, and version control tools., • Availability to work in the South of the UK. 🌍 About AYES We are an international consultancy specialised in the Aerospace, Rail, Automotive, Energy, Naval and Defence sectors. Our team combines experience, innovation, and a global vision to deliver high-value engineering solutions for international projects. 🚀 What we offer • The opportunity to join a company in the midst of international growth., • A dynamic, collaborative environment focused on professional development., • High-impact projects across Europe and the United States., • Real opportunities for career growth and advancement. If you are passionate about software engineering, enjoy developing complex systems, and want to grow in a global and innovative environment… SAY YES AND GROW WITH AYES!

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Ensure solutions align with Ema's agentic architecture and platform capabilities Hands-On Engineering • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments Feasibility Judgment & Agentic Workflow Translation • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Anticipate where AI implementations break: integrations, data quality, scale, edge cases Customer Leadership (Post-Sales) • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Communicate progress, risks, and decisions clearly across technical and executive audiences Production Readiness & Stabilization • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Stabilize systems post go-live under real pressure Cross-Functional Collaboration • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Software Engineer (Java) Location: UK/Ireland (remote) Please note: You need to be based in the UK or Ireland No Visa sponsorship offered Salary: Up to £50k Engineer systems that power real-world commerce. Our client is building the next generation of capabilities that power a fast-growing, merchant-focused ecosystem. Their mandate is clear: deliver value radically, responsibly, and consistently. They believe focused, empowered teams can achieve exceptional outcomes. They value results over activity, curiosity over complacency, and practical execution over unnecessary process. If you’re driven by impact and enjoy solving meaningful technical challenges, this could be an excellent fit. The Role As a Software Engineer, you will design and develop backend services, APIs, and portal systems that operate within high-availability payment processing platforms. Working within a dynamic development centre, you’ll engage with modern frameworks, tools, and engineering practices including: • Behaviour-Driven Development (BDD), • CI/CD pipelines, • AI-assisted development tools From requirements analysis through to production release, the team owns the full lifecycle. You may work independently on focused initiatives or as part of a larger squad, always empowered to concentrate on solving technical problems rather than navigating inefficient processes. Key Responsibilities • Translate merchant and partner needs into high-quality, scalable backend solutions, • Design and build robust Java-based systems and RESTful APIs, • Improve development processes through automation, simplification, and applied engineering experience, • Collaborate to ensure technically sound, observable, and testable deliverables, • Contribute to estimation, planning, and proactive risk management, • Support deployment to test and production environments, • Take ownership beyond assigned tasks, adjusting priorities where required, • Demonstrate professionalism, flexibility, and strong team collaboration What They’re Looking For • 3–5 years’ experience in a Software Engineering role, • Degree in Computer Science or related discipline, • Strong Java backend development experience, • Proficiency in Spring Boot or J2EE, • Solid understanding of Spring Core (IoC and Dependency Injection), • Strong experience with relational databases, schema design, complex queries, and performance optimisation, • Experience designing and implementing scalable RESTful APIs, • Hands-on experience building high-availability, high-concurrency systems at scale, • Strong understanding of Design Patterns, Refactoring, and Object-Oriented Design principles, • Experience with Git, CI/CD pipelines, and modern development methodologies, • Familiarity with AI-driven development tools (e.g., Windsurf, Claude Code, or similar), • Self-starter mindset, comfortable operating independently or within a team, • Strong analytical, problem-solving, and communication skills, • Detail-oriented, proactive, and able to work effectively under pressure What You Can Expect • An empowered engineering culture, • Clear ownership and accountability, • A high-performance yet pragmatic working environment, • Continuous learning and professional growth, • The opportunity to build resilient systems that operate at real scale If you’re looking to engineer scalable, high-availability systems within a culture that values autonomy and technical excellence, this is a strong opportunity to make meaningful impact. Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

Senior AI Engineer Imperagen | Full-time | Manchester, UK | On-site UK right to work required. Imperagen is not able to provide visa or work permit sponsorship for this role. Reports to CTO Location Manchester, UK. This is an on-site role. Candidates should already be based within commuting distance of Manchester or be willing to relocate before their start date. Manchester was the birthplace of the Industrial Revolution, a city with a history of transforming science, engineering, manufacturing, and technology at global scale. Today, it is one of the UK’s fastest-growing technology and AI hubs, with a strong ecosystem spanning advanced computing, life sciences, robotics, and deep-tech innovation. Imperagen is building at the intersection of AI, biology, robotics, and industrial technology, making Manchester a natural home for the next generation of scientific and industrial innovation. About Imperagen Imperagen is a startup building an AI-powered enzyme engineering company focused on biocatalysis. Our mission is to accelerate the development of high-performance enzymes through the integration of artificial intelligence, computational modelling, robotics, laboratory automation, and advanced data infrastructure. At the core of the company is Imperagen’s proprietary Digital Enzyme Evolution™ platform, a closed-loop enzyme optimisation system combining AI-guided protein engineering, high-throughput robotics, experimental validation, structured scientific databases, and iterative machine learning to continuously improve enzyme performance in real-world industrial environments. Our integrated AI, robotics, and data platform creates continuous feedback between computational prediction and wet-lab experimentation, enabling faster discovery cycles, smarter optimisation, and compounding scientific learning over time. We believe the future of industrial biotechnology will be driven by autonomous scientific systems where AI, robotics, software, databases, and experimental science operate together in tightly integrated learning loops. Imperagen is building that future. The Role Imperagen is hiring a Senior AI Engineer to help build the AI systems powering the next generation of enzyme engineering. This is a deeply hands-on role for an ambitious engineer who wants to work on real-world AI systems operating at the intersection of machine learning, robotics, scientific experimentation, and industrial biotechnology. This is a hands-on senior individual contributor role. You will not be expected to own every technical domain on day one, but you should be comfortable working across AI, software, data, and scientific workflows as the platform evolves. You will work directly with the CTO, scientists, software engineers, and automation teams to design and scale the company’s AI platform, helping connect models, data, robotics, laboratory workflows, and scientific decision-making into a continuously improving closed-loop system. You will work across machine learning systems, AI-enabled tooling, scientific data infrastructure, automation pipelines, and practical scientific workflows. This is not a traditional enterprise AI role – we are a startup. You will be building systems that interact directly with real-world experimentation, laboratory robotics, and scientific discovery processes. We are looking for someone who moves fast, learns quickly, enjoys technical intensity, and is excited by the challenge of building practical AI systems inside a high-ambition deep-tech startup company. Responsibilities -\tDesign, build, and scale AI-powered software systems, machine learning infrastructure, and scientific data platforms -\tDevelop scalable pipelines for biological, experimental, and robotics-generated datasets -\tBuild and deploy AI models, automation systems, and AI-enabled tools that accelerate scientific workflows and internal decision-making -\tHelp architect Imperagen’s closed-loop AI, robotics, and scientific data platform -\tWork closely with scientists and automation engineers to integrate AI systems with laboratory robotics and experimental workflows -\tRapidly prototype, iterate, and deploy AI-enabled systems using modern AI-assisted engineering workflows -\tLeverage AI development tools, coding assistants, and automated engineering workflows to maximise development speed and experimentation velocity -\tContribute to scientific database architecture, knowledge systems, and scalable data infrastructure -\tSolve difficult technical problems across machine learning, data systems, infrastructure, and scientific computing -\tParticipate in technical planning, architecture discussions, and platform evolution as the company scales -\tCollaborate across AI, software, robotics, scientific, and operational teams to build tightly integrated technical systems -\tSupport and mentor junior engineers as the engineering organisation grows Required Experience and Qualifications -\tBachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, Engineering, or another quantitative discipline -\t5+ years of professional experience building AI, machine learning, software, or data systems in industry, research, or high-performance technical environments, or exceptional evidence of equivalent capability -\tStrong experience building and deploying AI or machine learning systems -\tStrong software engineering skills with experience building scalable systems and infrastructure -\tHands-on experience with Python and modern AI/ML tooling and frameworks -\tExperience working with databases, data engineering workflows, and large-scale data systems -\tExperience designing APIs, backend systems, distributed systems, or scalable technical infrastructure -\tExperience building or deploying AI-enabled tools, workflow automation systems, or agentic tooling -\tStrong understanding of modern machine learning workflows, evaluation, deployment, and monitoring -\tStrong problem-solving ability and comfort operating in fast-moving, ambiguous technical environments -\tStrong communication and collaboration skills -\tHigh levels of curiosity, ownership, and technical ambition Preferred Experience -\tExperience building AI systems in biotech, scientific computing, robotics, computational biology, or other deep-tech environments -\tExperience working with noisy, sparse, experimental, or highly specialised datasets -\tExperience using AI-assisted development environments, coding agents, or automated development workflows -\tExperience working with cloud infrastructure, MLOps, distributed systems, or scalable AI platforms -\tFamiliarity with laboratory automation systems, robotics platforms, or closed-loop experimentation workflows -\tExperience contributing to fast-moving startup or scale-up environments where execution speed matters -\tExperience mentoring engineers or contributing to technical leadership initiatives -\tInterest in protein engineering, computational biology, biocatalysis, scientific AI systems, or autonomous experimentation What Success Looks Like -\tDelivering meaningful technical contributions to Imperagen’s AI, robotics, and scientific data platform -\tBuilding scalable AI systems that improve scientific discovery and experimental decision-making -\tDeploying AI-enabled automation and workflow tooling into real-world scientific operations -\tAccelerating the performance and intelligence of Imperagen’s closed-loop optimisation platform -\tHelping increase development speed, experimentation velocity, and platform capability across the company -\tContributing to the long-term technical advantage of Imperagen’s AI-driven biocatalysis platform Compensation Compensation will be calibrated for senior AI/software engineering talent in the Manchester market and will include salary plus equity participation, alongside the opportunity to help build a category-defining company operating at the intersection of AI, robotics, biology, scientific computing, and industrial impact. Why Join Imperagen This is an opportunity to build AI systems that interact directly with the physical world. At Imperagen, machine learning models do not sit in isolation; they connect to robotics systems, scientific databases, laboratory experimentation, and real industrial outcomes. You will help build practical AI-enabled tools and workflows that improve model development, scientific decision-making, data quality, and experimental throughput. You will work alongside highly technical scientists and engineers on ambitious problems that combine AI, robotics, software infrastructure, biology, and experimental science into a single integrated platform. If you are excited by scientific AI systems, autonomous experimentation, AI-assisted engineering, scientific computing, and building technology with real-world industrial impact, we would love to hear from you. Applications Relevant candidates should reach out to us on: senioraiengineer@imperagen.com

Service Co-ordinator – Fire & Security 📍 Location: Manchester 🏢 Company: Dalkia – Fire & Security 📊 Reporting to: Service Manager / Operations Manager 🕒 Job Type: 12 months fixed term contract (maternity cover) About the Role Dalkia – Fire & Security is looking for an organised and proactive Service Co-ordinator on a 12 month fixed term basis to join our growing team. This role is central to the smooth delivery of our fire and security services, ensuring reactive and planned works are efficiently coordinated between our clients, engineers, and subcontractors. If you enjoy working in a fast-paced environment, are confident handling multiple priorities, and take pride in delivering excellent customer service, we’d love to hear from you. Key Responsibilities • Handle incoming service calls and requests, • Allocate jobs to field engineers and subcontractors, • Coordinate reactive, planned, and maintenance works, • Arrange maintenance and service appointments directly with clients and end users, • Manage and monitor pending calls, escalating where required, • Coordinate engineer revisits and on-call administration, • Review and process electronic timesheets, • Issue planned maintenance schedules to clients and service managers, • Maintain and update client portals and internal systems, • Set up and amend maintenance contracts, • Raise purchase orders and issue to subcontractors, • Prepare job packs for Service and Operations Managers, • Update Goods Received Notes (GRNs), • Monitor KPIs and support the team in achieving monthly targets, • Liaise with Service and Operations Managers on performance and workload Health & Safety All employees are expected to take reasonable care for their own health and safety and that of others, in line with Dalkia’s Health & Safety policies and procedures. Who We’re Looking For Essential Experience & Skills • Previous administration or coordination experience, • Strong IT and computer literacy skills, • Excellent communication and interpersonal skills, • Highly organised, adaptable, and flexible, • Reliable, proactive, and able to manage multiple tasks Key Competencies • Strong teamwork and collaboration skills, • Ability to plan, organise, and prioritise workload effectively, • Clear and confident communicator, • Commercial awareness and cost-conscious mindset, • Risk-aware with attention to detail, • Adaptable and responsive to changing priorities, • Customer-focused with a commitment to service excellence, • Self-motivated with a drive to deliver high standards Why Join Dalkia? • Be part of a respected and growing organisation, • Work in a supportive and collaborative team, • Opportunity to develop within a leading Fire & Security business, • Varied role with real responsibility and impact 📩 Interested? Apply now via Indeed or LinkedIn, or contact us for more information.

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents — ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities • Design and build high-performing AI models tailored to specific business needs, • Lead rapid prototyping initiatives through to production delivery, • Work directly with the IT Infrastructure team to deploy AI models into production environments, • Ensure solutions use Private Endpoints and meet enterprise-grade security standards, • Work with operational and business teams to embed AI tools into day-to-day workflows, • Drive adoption and ensure teams are actively using implemented AI solutions, • Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps), • Ensure AI solutions integrate securely with existing systems, data platforms, and APIs, • Collaborate with commercial stakeholders to assess project viability and business value before implementation, • Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes, • Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential • Deep expertise in Python and relevant AI/ML frameworks and SDKs, • Proven experience building RAG pipelines that operate effectively in production environments, • Hands-on experience with model packaging, deployment, and production AI workflows, • Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations, • Experience working with at least one major enterprise AI cloud platform (Azure preferred), • Strong SQL skills and experience working with both structured and unstructured data, • Experience building AI agents, workflow automation, and tool/API integrations, • Strong understanding of AI implementation, deployment, and operationalisation, • Ability to work closely with technical and non-technical stakeholders, • Strong problem-solving and communication skills Desirable • Experience with LLMOps / GenAIOps tooling and monitoring frameworks, • Exposure to OCR, computer vision, voice AI, or conversational AI solutions, • Experience working in operational, retail, automotive, or customer-focused businesses, • Familiarity with AI governance, security, and scalability best practices, • Experience helping shape or build internal AI capabilities within a business Salary & Benefits • Competitive salary depending on experience, • Quarterly bonus scheme, • Hybrid working arrangements — 3 days office / 2 days remote, • Opportunity to shape AI capability within a growing business, • Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

Senior Systems Support Engineer About the Company Our client is a global technology organisation delivering innovative solutions across transportation and critical infrastructure sectors. The company focuses on improving customer experiences through advanced technology, operational excellence, and secure digital services. Operating internationally, they are committed to innovation, collaboration, and delivering high-quality solutions to both public and private sector customers. The Role We are seeking a Senior Systems Support Engineer to support the operational delivery and maintenance of enterprise endpoint management and patching solutions across a large-scale corporate IT environment. The successful candidate will be responsible for maintaining endpoint management platforms, delivering software deployments, managing operating system builds, supporting security patching activities, and providing 2nd/3rd line technical support. The role also involves root cause analysis, technical project delivery, and ensuring compliance across end-user environments. Key Responsibilities • Ensure the availability and performance of endpoint management and software deployment platforms., • Manage and maintain services including:, • Patch Management, • OS Provisioning, • Software Distribution, • Endpoint Configuration, • Develop and maintain operational processes relating to system builds, patch creation, software packaging, deployments, reporting, and security controls., • Investigate and remediate security vulnerabilities across desktop and server estates within agreed timelines., • Support security hardening and compliance activities across front-office platforms and applications., • Assist in improving endpoint delivery strategies including:, • Application deployment, • Antivirus management, • Security patching, • Driver and firmware updates, • Operating system deployment, • Manage documentation relating to systems, processes, and operational procedures., • Own the full lifecycle of patch deployment activities from testing through to production rollout., • Support platform upgrades, migrations, and access control management., • Participate in technical projects involving software deployment to bespoke hardware and devices., • Escalate issues appropriately and contribute to incident resolution., • Support training and knowledge transfer activities following technical changes., • Work collaboratively with internal teams, stakeholders, and customers where required. Required Skills & Experience Essential • Degree in Computer Science, Engineering, or equivalent commercial experience., • Strong experience with enterprise patch management and endpoint management tools such as:, • Ivanti Endpoint Manager, • Microsoft SCCM, • ManageEngine, • NinjaOne, • or similar technologies, • Strong PowerShell scripting experience., • Experience deploying and supporting Microsoft operating systems across desktop and server environments., • Experience supporting multi-platform infrastructure environments., • Proven experience managing patch testing and deployment environments., • Strong understanding of Microsoft Windows desktop support., • Experience supporting Linux/Unix desktop environments (e.g. Ubuntu)., • Experience working within ITIL environments including change and release management., • Understanding of quality and service management standards such as ISO 9001 / ISO 20000., • Strong networking fundamentals including TCP/IP., • Experience with Microsoft Active Directory technologies including:, • DNS, • DHCP, • Group Policy, • WSUS, • DFS, • Experience with OS imaging and deployment technologies including PXE and system imaging solutions. Desirable • ITIL certification., • Microsoft certifications., • Experience managing services against strict SLAs., • Experience with virtualisation technologies including:, • VMware, • Hyper-V, • Experience with additional scripting or development languages such as:, • Bash, • Powershell, • VB.NET, • C++, • .NET, • Batch scripting

Principal AI/ML Engineer - Technical Lead Manchester, UK (Hybrid or Remote) I’m currently partnering with a highly innovative AI company building advanced Computer Vision and visual intelligence technology deployed at global scale. This is not a research-only role or a position focused on experimenting in isolation. The company is looking for someone who can take ownership of the entire AI production lifecycle - from raw data collection and training pipelines through to robust, production-ready models operating in demanding environments. The role is ideal for someone who combines deep technical expertise with a hands-on approach to engineering and leadership. The Opportunity You will lead the design and evolution of the company’s AI production pipeline, covering data ingestion, organisation, annotation strategy, model training, validation, optimisation, deployment, and monitoring. The focus is on building industrial-grade Computer Vision systems that perform reliably outside the lab - with real constraints around latency, scalability, reliability, and throughput. You’ll work closely with Engineering, Product, and AI teams to ensure research and technical innovation translate directly into commercial impact. This role also comes with significant influence internally. You’ll have the autonomy to help shape the structure, standards, and direction of the AI/ML function, while hiring and developing a high-performing international team. Key Responsibilities • Own and scale the end-to-end AI/ML production lifecycle, • Build high-performance Computer Vision systems for production deployment, • Drive development across Object Detection, Segmentation, Tracking, and Transformer-based architectures, • Define standards across MLOps, model quality, deployment, monitoring, and engineering best practice, • Improve the speed and efficiency of taking models from raw data to production, • Work cross-functionally with Product and Engineering teams on long-term technical strategy, • Hire, mentor, and grow AI/ML engineering teams across multiple locations, • Establish scalable team structures, workflows, and delivery processes within an Agile environment Requirements • Proven track record delivering ML or Computer Vision products into production at scale, • Strong expertise across modern Computer Vision techniques and deep learning architectures, • Excellent Python and C++ engineering skills, • Experience optimising training and inference pipelines for real-world deployment, • Strong systems and engineering mindset alongside deep ML knowledge, • Previous experience leading technical teams while remaining hands-on, • MSc or PhD in Computer Science, Machine Learning, or a related field preferred The company offers a strong engineering culture, high levels of technical ownership, and the opportunity to work on difficult AI problems with direct real-world impact. If you are interested in applying, please apply through the link

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Join a mission-driven, Series A scale-up following a record-breaking funding round. They are scaling their engineering team to deliver a subscription model for energy systems. You will join a high-calibre, lean engineering squad working directly with the Head of Engineering and Product leadership. This is a role for an engineer who wants to build products that have a tangible, positive impact on both consumer wallets and the planet. Responsibilities: • Develop quality software and web applications for their customer facing platform, • Analyze and maintain existing software applications, • Discover and fix programming bugs, • Work with non-technical teams and describe the impact of their work in simple terms Qualifications: • Bachelor's degree or higher in Computer Science or related field, • Technical expertise with TypeScript, Node, Postgres, AWS and InfluxDB, • 3+ years of experience in a professional engineering or development position, • Keen interest in the energy sector and green energy initiatives, • Someone with ambitions of eventual technical leadership, • UK Citizen or Settled Status in the UK without the need for sponsorship If you believe you have the required skill set and experience for this position please apply for immediate consideration!

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Senior C++ Software Engineer Manchester | National Security | High‑Performance Systems | Up to £80,000 Gross Operating at the cutting edge of defence, aerospace, and national security technology, delivering advanced, mission‑critical solutions for government and international customers. Teams work across highly secure, high‑impact programmes, developing and supporting systems that protect critical infrastructure and national interests. The environment is fast‑paced and technically demanding, with a strong emphasis on innovation, collaboration, and continuous improvement. Engineers are trusted to take ownership, challenge assumptions, and contribute directly to systems deployed in real operational environments. As a Senior C++ Software Engineer, you will work on the development, enhancement, and support of high‑performance national security systems, collaborating with international customers and internal teams to deliver new capabilities and maintain mission‑critical platforms. You’ll be part of an agile, collaborative engineering team, working across the full software lifecycle in a Linux‑based environment. The work is technically challenging and varied, requiring strong problem‑solving skills, performance‑focused development, and the ability to operate comfortably in complex, production systems. Your background: • Strong commercial experience developing software in modern C++, including performance‑critical and concurrent systems, • Solid understanding of Linux‑based development, including build systems, compilers, tooling, and low‑level system behaviour, • Experience working with computer networking concepts and protocols, particularly TCP/IP and related technologies, • Exposure to packet‑level or network‑focused systems, such as traffic analysis, inspection, or monitoring platforms, • Experience using complementary scripting or automation languages such as Python, Ruby, Bash, or similar, • Comfortable working in Agile / Scrum environments, using tools such as Jira or equivalent, • Experience diagnosing, troubleshooting, and supporting complex systems, including remote fault‑finding, • Ability to work autonomously while contributing effectively within a high‑performing engineering team, • Strong communication skills and a proactive approach to problem‑solving Desired: • Experience with deep packet inspection or network analysis technologies, • Familiarity with networking protocols beyond TCP/IP (e.g. HTTP, DNS, DHCP, tunnelling technologies), • Exposure to configuration management or infrastructure tooling (e.g. Puppet or similar), • Experience supporting deployed or operational systems in a secure or mission‑critical context, • Willingness to travel occasionally to support customer engagement and system deployment

FIELD SERVICE ENGINEER - PERMANENT POSITION We are currently recruiting for a hands-on Field Service Engineer to support the deployment, maintenance, and optimization of an advanced vision-based Real-Time Location System (RTLS) across customer sites throughout the UK logistics sector. This customer-facing role combines installation, commissioning, fault finding, and ongoing technical support for cutting-edge AI-powered camera systems designed to improve operational safety and productivity in industrial environments. As a Field Service Engineer, you will work directly on customer sites, carrying out equipment installation, system configuration, diagnostics, preventative maintenance, and troubleshooting activities. You will act as a key technical contact for customers, ensuring systems operate reliably while delivering a high standard of service and support. The role offers exposure to advanced technologies including computer vision, AI-driven tracking systems, industrial networking, and safety solutions. You will work closely with internal engineering, product, and commercial teams, providing valuable field feedback to support continuous product improvement. This is a varied and highly practical role involving regular UK travel, customer interaction, and opportunities for long-term technical development as the business continues to grow. Key Responsibilities: • Install, configure, test, and commission RTLS hardware and software systems at customer locations., • Carry out on-site fault finding, diagnostics, and repairs to ensure maximum system uptime., • Provide first-line and second-line technical support to customers both remotely and on-site., • Perform preventative maintenance, system health checks, and performance optimisation activities., • Support customer training and handovers following installation and commissioning., • Work closely with customers to resolve technical issues quickly and professionally., • Assist with system upgrades, software updates, and configuration changes., • Complete service reports, installation documentation, and technical records accurately., • Support technical demonstrations and occasional trade show or customer event activities., • Collaborate with engineering and product teams to escalate recurring issues and provide field feedback., • Ensure all work is completed in line with health & safety and site compliance requirements., • Travel regularly across the UK to support customer sites as required. Skills & Qualifications: • 2+ years of experience in a Field Service Engineer, Service Technician, Installation Engineer, or similar technical role., • Degree, HNC/HND, apprenticeship, or equivalent qualification in Engineering, Electronics, Electrical Engineering, Mechatronics, or a related discipline., • Strong hands-on electrical, electronic, or electro-mechanical troubleshooting skills., • Experience working with industrial systems, CCTV/camera systems, networking, automation, or related technologies would be advantageous., • Interest in technologies such as computer vision, AI systems, RF technologies, and industrial safety applications., • Ability to diagnose and resolve technical faults independently in customer-facing environments., • Strong organisational and time-management skills with the ability to manage multiple service activities., • Comfortable working independently and travelling regularly to customer sites., • Excellent communication and customer service skills., • Good working knowledge of IT systems and networking principles., • Experience with Linux and Python would be beneficial but not essential., • Full UK driving licence and willingness to travel extensively across the UK., • Fluent in English, both written and spoken. The Offer: • A permanent, full-time employment contract, • A salary & benefits package commensurate with experience Please send over your CV to tom.walker@vividresourcing.com or call me on +32 (0) 3 318 00 74. As always, we are open to recommendations, so please feel free to pass this on to other suitable candidates.

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Retrospective reviews Working with the Technical Data Engineers Technical Team deliverables and leading by example: • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

We are looking for a Ventilation Service/Validation Engineer to join the Projects Team at Thermatic Technical FM. We are looking for a Ventilation Service/Validation Engineer to join the Critical Environments team at Thermatic Technical FM. As a Thermatic Technical Service/Validation Engineer you will be responsible for delivering critical ventilation validation and Verifications to HTM 03-01 and other relevant British Standards. The Benefits: • 33 days holiday (inc bank holidays) + a day off on your Birthday, • Auto-enrolment Pension, • Death in Service Insurance @ 4 X salary, • Extensive Healthcare & Wellbeing provisions including:, • Private Medical Insurance (no excess), • Dental & Optical cash back scheme, • Employee Assistance Programme, • Access to virtual GP support, • Health discounts, • Access to annual health screening, • Enhanced Family Leave policies, • Free parking, • Company events, • Gym facilities onsite, • Referral bonus, • Employee of the Month awards, • Long Service Awards Hours & Location of Work: Main location - this is a fully mobile role covering a national scale. Regular hours of work - Monday to Friday, 8am to 5pm - 40- hour working week. Whilst this is our company’s standard working week, our clients require out-of-hours maintenance so early starts/late finishes, weekend and night works are to be expected. Skills, Experience & Qualifications: • Computer literate in Microsoft office, • Ability to escalate and manage quickly and effectively., • CSCS Card, • HTM 03-01 (V) AP or CP Qualification, • Strong communication skills, • Collaborative approach to working, • Attention to detail and strong organizational skills, • Time management skills, • Outstanding problem-solving skills to address customer complaints or needs, • An updated understanding of consumer behavior, • Strong customer service and interpersonal skills to deal with different customers and departments within the business, • Multitasking and time management skills to manage multiple customers and tasks at the same time, • Experience of working in a customer-focused environment, • Previous experience and technical awareness in a similar industry, knowledge or qualifications in HTM 0301, and familiarity with IPS/UPS, Surgical operating lights, and medical gas systems would be desirable. Responsibilities: • Execution of Installation and Operational Qualification Protocols, • Validation/Verification of new and existing HVAC systems, • Validation/Verification of Operating theatres to HTM 03-01, • Validation/Verification of Clean Rooms to ISO 14644, • Validation/Verification of LEV systems, • Ensuring equipment operates to Specification, • Investigating and fault finding on site when failures occur, • Developing and maintaining working relationships with new and existing clients and site teams, • Supporting the development of the Service Department, • Filter integrity testing (DPC testing), • Measurement of air supply/extract rates, • Measurement of air change rates, • Measurement of air velocities, • Measurement of pressure differentials, • Sampling for airborne particles, • Sampling for airborne microbial contamination, • Surface sampling for microbial contamination Our People We’re a business built on people and it’s the people that make us different from other companies. If you believe your skills and experience can bring value to this role then we'd love to hear from you. We’re a diverse group and encourage our people to be independent thinkers and collaborative doers to create a supportive culture full of passion. We provide opportunities for growth and development across our organisation through apprenticeships, professional qualifications, management training, and on the job learning. As a business that is continually growing, we’re looking to attract the best talent in the industry to grow our workforce and join our combined efforts towards our goals. Thermatic Group is an Equal Opportunities employer and takes is responsibilities relating to Equality, Diversity, & Inclusion seriously. For further information, you can request a copy of our Equality, Diversity & Inclusion Policy. Guaranteed Interview Commitment – We have made a commitment to improve employment opportunities for ex-military personnel. Therefore, you will be guaranteed an interview if you meet both the criteria for the commitment and the essential job role criteria.

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

Senior Core Systems Developer Remote - UK or Europe About us At Auros, we’re dedicated to advancing the cryptocurrency ecosystem through unparalleled liquidity and market-making services. We’re one of the largest participants in the market, trading across 10+ global locations, facilitating 3-4% of global daily volumes, and have connectivity to over 50 venues. What sets us apart, though, is our culture. We believe in hiring smart people and empowering them to do their best work. From day one you’ll have the autonomy and support to really excel. Our relentless focus on delivery drives us to continuously push boundaries and achieve exceptional results, all while offering abundant opportunities for personal and professional growth in the dynamic realm of digital assets. The Opportunity • Develop trading system infrastructure in Python and C# as directed., • Work with traders, middle office and other stakeholders to understand the core problems that each of the teams is facing, in both Cefi and Defi environments and design solutions., • Deploy trading system components in to our production environment., • Be responsible for troubleshooting system issues as and when they occur., • Identify opportunities for system improvements., • Engage with the team during system design discussions, code reviews, trading idea brainstorms. Who you are Our ideal candidate will have: • Software engineer with 5+ years experience in developing clean, maintainable, performant code., • You have 3+ years experience developing in both Python and C#., • Good programming skills, with a strong understanding of data structures and algorithms., • You can find the balance between delivering clean, testable, reliable code and rapidly deploying new system features to take advantage of market opportunities., • You are reliable, take pride in delivering robust software and are willing to be on call to support the systems you develop., • You’re able to precisely articulate software concepts and designs., • You have a Bachelor's degree (or above) in Computer Science, Software Engineering or similar, with excellent results. What We Offer in Return • Opportunity to work at the forefront of the digital asset industry., • Remote and flexible work., • Autonomy and a flat structure means you can contribute your ideas from day one and help shape the foundation that will power our future business. At Auros, we value nimbleness, drive for success, owner mentality, and collaboration. Join us in shaping the future of financial services across Asia and beyond!

Knowledge and experience within Technical Engineering/Telecommunications/Speciality in Electronics or Computer Systems ideally within the electronic access system industry. We have an opportunity for a Technical Support Engineer - Electronic Access Systems to join us at Honeywell, in the North Regio

Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.LocationManchester, United KingdomThe #TeamGBT ExperienceWork and life: Find your happy medium at Amex GBT.* Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.* Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.* Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.* We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.* And much more!All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the .If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for!We’re looking for a mid-senior level engineer to be part of our growing team of technologists. As a SDE III, you’ll write software alongside a team of global engineers on projects that matter to our customers and business travelers, and have the opportunity to mentor junior engineers. If you’re passionate about directly contributing to technical challenges, interested in the travel industry, and enjoy owning larger features that make an impact, we look forward to meeting you. What You’ll Do Design and implement next-generation highly scalable, and reliable SaaS applications Translate functional specifications into logical, component-based technical designs Own delivery of application features end-to-end by working with product and engineering teams Innovate and implement new ideas to solve software problems and improve customer experience Participate in design and code reviews Work closely with geographically distributed team members Mentor, support and develop junior engineers Seek and share domain and industry knowledge with the team to improve engineering practicesWhat We’re Looking For Bachelor’s or master’s degree in computer science or equivalent 5+ years of experience in software development Strong understanding of distributed systems Building and delivering multi-tenant cloud-native SaaS software Passionate about collaboration and incorporating feedback from partners Communicates complex information in a concise and clear way to technical and non-technical partnersCore Skills and Knowledge Areas* Front-end web technologies (JavaScript, Node, or React) Enterprise web applications (Java, Kotlin, or Spring) Object-oriented programming, data structures, and algorithms SDLC and agile methodologies, and agile tools and programming practices CI-CD principles and technologies* AWS services and building employment pipelines#GBTJobs #J-18808-Ljbffr

Kintec Global Recruitment is seeking a motivated Data Engineer to join their team part-time. Responsibilities include assisting in building data systems, developing data pipelines, and ensuring data quality. This role is perfect for university students studying Data Engineering, Computer Science, or

MAIN GOALS AND OBJECTIVES Technical authority for HCP4 (High Performance Computer 4) on BEV/PHEV electrical architectures, in depth technical knowledge and guidance, to support and ensure achievement of business objectives and technical development, delivering on time and within budget. RESPONSIBILITY/TASKS AND CUSTOMERS MAIN RESPONSIBILITIES (Maximum of 5 relating to products, services etc) Internal/External Customers 1. Accountable for deliverables to a specified timeframe, quality and cost., 2. Ability to demonstrate deliverables status at any time with Key Performance Indicators., 3. PEP reporting tools, 4. Budget plans, 5. Component/SW/HW delivery plans for a given project, 6. Function delivery plans and supporting function maturity planning, 7. Manage workload on a daily basis and respond to both long term and short term task requests., 8. Interfacing within EE and other areas of Engineering to ensure cross functional working to ensure consideration of systems engineering., 9. Responsible for leading prompt concern resolution on existing systems/parts and processes, provide containment solutions when necessary., 10. Manage any outsourced work in the same technical area, including supplier management where required., 11. Manage specific budgetary requirements to meet KPI objectives. Engineering Manufacturing 1. Developing and maintaining specialist technical and business knowledge and capability, to ensure appropriate technical direction is provided., 2. Propose process and method improvements to develop departmental capability., 3. Ability to lead on technical direction/options working with other departments/engineers which interface with the Energy Management Systems team., 4. Provide technical direction to other EESK feature owners in the team to support them in providing accurate information to other areas., 5. Provide technical input into concepts for future development., 6. Committed to own continuous professional development. Engineering, Manufacturing, Quality, Suppliers 1. Accountable for developing and influencing the strategic technical direction within specialist area of HCP4., 2. Demonstrate a broad awareness of process and operational requirements within the area., 3. Responsible for the delivery of attribute targets and in some cases defining targets based on current and future technologies in HCP4., 4. Support and provide technical knowhow in relation to product planning., 5. Advise management of strategic opportunities in areas of technical expertise., 6. Develop and gain agreement for the strategic technical direction/Technical Roadmaps within specialist area., 7. Keep up to date with industry innovations and relevant Group technical roadmap deployment. Engineering, Manufacturing, Quality, Group, HSE, Suppliers 1. Maintain effective communication internally and within Group., 2. Responsibility to ensure factual and effective communication is provided at all levels, including within all cross-functional working teams., 3. Participation and effective representation of function/Company in appropriate technical meetings., 4. Responsible for the collation and presentation of relevant data in order to consult and lead functional /cross-functional meetings., 5. Transparent issue escalation to management, accountable for identifying and escalating issues and risks to management, 6. Develop relationships with counterparts in appropriate internal functions and organisations, and provide relevant guidance to suppliers., 7. Make recommendations and effective presentations to the business in area of technical specialism, with the ability to explain and break down technical detail/direction. Engineering, Manufacturing, Quality, Group, HSE, Suppliers KEY COMPETENCIES & QUALIFICATIONS SKILLS & EXPERIENCE Appropriate experience working in the Automotive Industry in ECU Delivery, customer facing systems and related parts/systems/sub-systems Experience of the product development process from concept to production. Strong influencing skills and communication, with a commitment to building positive relationships with other functions and the team. Liaising with Group as an outward facing expert. Ability to share technical knowledge effectively with others, support and guide as appropriate to ensure deliverables can be met Demonstrable experience of process improvement activities within the specific technology. Business awareness and ability to make and influence strategic decisions within the business context. Understanding and ability to demonstrate behaviours in line with the Bentley People Framework. PRACTICAL & TECHNICAL KNOWLEDGE Has demonstrable knowledge applicable to the technology areas in a relevant Engineering discipline. Understands business cycle planning and business case creation A proven knowledge of Body Control systems and practical experience of development of such systems Understanding and application of all required sign off legislative and environmental requirements. Demonstrable knowledge and application of Company problem solving tools and skills. QUALIFICATIONS Higher Engineering degree or equivalent. Preferably Chartered Engineer, or with a desire to achieve/currently working towards Chartered status. Proficiency in German language would be an advantage. Excellent package and opportunity. Call Rachel NOW or apply online with CV Library

I'm working with a client who are looking for an engineer with solid Java Spring Boot skills and hands‑on experience owning cloud migrations, primarily on AWS. Key info: Contract: Initial 3 months, with a strong likelihood of 6-9 months extension Start date: ASAP Day rate: £540 Inside IR35 Hybrid: Manchester (2 days per week in the office) Team size: 4-5 engineers Interview process:- 1st stage virtual (75 mins technical + 15 mins Q&A) • 2nd stage in‑person (90 mins: migration knowledge + pairing exercise) Role highlights: Java & Spring Boot development Owning and delivering cloud migrations Migrating a full product stack to cloud services Heavy focus on AWS (infrastructure, databases, frameworks, services) Working closely with engineers and stakeholders across teams Quickly learning existing systems and domain knowledge Using AI tools to support development and delivery Key skills they're looking for: Experience with Java, including Spring Boot Proven experience owning or delivering cloud migration projects Strong AWS knowledge (around 80% of the role is AWS‑focused) Ability to move infrastructure, databases, applications, and frameworks to the cloud Strong communication skills - comfortable handling questions and integrations across teams Ability to ramp up quickly in unfamiliar systems Nice‑to‑haves (not essential): Experience re‑platforming or modernising legacy systems Broader DevOps or CI/CD exposure Previous use of AI‑assisted coding toolsPlease click to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required ExperienceEssential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now!AI Implementation Engineer - Manchester TPBN1_UKTJ

Job Description We are seeking a motivated and technically skilled Regional Sales Engineer / Account Manager to expand our customer base and manage key accounts across the South East of the UK. You'll combine your technical expertise and commercial acumen to deliver innovative, high-quality solutions that drive value for our customers and NOV. You'll combine your technical expertise and commercial acumen to deliver innovative, high-quality solutions that drive value for our customers and NOV, while driving comprehensive sales development activities that encompass lead generation, relationship cultivation, and strategic market expansion. A key focus of this position is to strengthen collaboration with Southern Water and expand activity across the account, while reinforcing NOV Mono's position as a leading provider of progressing cavity pumps, associated equipment, and aftermarket services within the region. Location Requirement To effectively support our customers and maintain strong regional coverage, applicants must reside permanently within one of the following counties: Hampshire East Sussex West Sussex Kent Surrey About the Company NOV Mono, part of NOV's Fluid Motion Solutions business unit, is a market-leading provider of progressing cavity pumps, grinders, and packaged systems, primarily serving the water, wastewater, and general industrial sectors. While NOV operates globally across multiple industries, including energy, this role is firmly focused on supporting UK utility and industrial customers. Our Manchester site fosters innovation, collaboration, and excellence in service delivery, making it a hub for high-impact careers. What We Offer Real ownership of a high-impact territory across South East UK, with autonomy to shape account plans, pipeline and customer strategy. Career growth and professional development, including structured onboarding, product/application training, and clear progression opportunities within NOV UK and the wider global organisation. A collaborative, inclusive environment with strong support from cross-functional teams (engineering, service, operations, proposals) and exposure to international stakeholders. Modern tools and resources to succeed, including CRM and sales forecasting tools, proposal/quotation support, and technical expertise to enable consultative, value-led selling. This is a fully remote, field-based role within the South East region. Key Responsibilities Build and maintain strong, long-term customer relationships, ensuring exceptional service and support. Drive revenue growth through effective account management, accurate forecasting, and achievement of sales KPIs. Identify and develop new business opportunities by understanding customer strategies and engaging key stakeholders. Serve as the main point of contact for technical and commercial enquiries, preparing high-quality proposals and quotations. Collaborate with management and cross-functional teams to achieve optimal technical and commercial outcomes. Monitor customer feedback and project deliverables, implementing improvements as needed. Represent NOV at customer sites, industry events, and professional functions, providing insights to inform business strategy. Support continuous improvement initiatives across the sales organisation. Skills & Experience Strategic & Operational Strong ability to understand and apply technical information effectively. Familiarity with evolving portfolios of products and services. Understanding of business strategy in relation to key customers. Excellent problem-solving and decision-making skills. Capable of managing time effectively and prioritising multiple tasks. Able to communicate and collaborate across departments to eliminate bottlenecks. Process-oriented with a focus on continuous improvement. Personal Attributes Confident and professional communicator with strong presentation and written skills. Energetic, proactive, and driven by results. Customer-focused with high ethical standards. Skilled negotiator-firm, fair, and diplomatic. Aspiring professional with clear career development goals. Resilient under pressure and willing to engage constructively in challenging situations. Qualifications & Experience Essential: Degree or tertiary education in Engineering and/or Business discipline. Experience in a similar role involving Pumps and Pumping Systems / Applications. Proficient computer literacy, including Microsoft Excel, Word, and Outlook. Desirable: Working knowledge of the UK Water Industry and related sales environment. Understanding of industrial processes and sales environments. Experience using Customer Relationship Management (CRM) systems. Familiarity with Progressing Cavity Pump technology and its applications. Why Join Us Join our Global Family: We are a purpose-driven company, helping to power the people who power the world. Our culture is centered around making a difference, solving challenges, and embracing change. At NOV, you'll find a supportive environment where you can grow your career, make meaningful contributions, and be part of a global team that's shaping the future. At NOV, we are committed to supporting your personal, financial, and professional wellbeing. Our comprehensive benefits package includes: Health & Wellbeing Private Medical Insurance Employee Assistance Programme (EAP) Finance & Protection Pension Plan Income Protection Life Assurance Personal Accident Coverage Flexible Benefits (via salary sacrifice options for you and your family) Dental Insurance Healthcare Cash Plan Partner Life Assurance Critical Illness Cover Retail Vouchers Gym Membership Cycle to Work Scheme Travel Insurance About Us Every day, the oil and gas industry's best minds put more than 150 years of experience to work to help our customers achieve lasting success. We Power the Industry that Powers the World Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment, and operational support necessary for success-now and in the future. Global Family We are a global family of thousands of individuals, working as one team to create a lasting impact for ourselves, our customers, and the communities where we live and work. Purposeful Innovation Through purposeful business innovation, product creation, and service delivery, we are driven to power the industry that powers the world better. Service Above All This drives us to anticipate our customers' needs and work with them to deliver the finest products and services on time and on budget. About the Team Corporate Our family of companies is supported by our global Corporate teams, providing expert knowledge from functions including Human Resources, Information Technology, Compliance, Finance, QHSE, Marketing and Legal centres of expertise. We are structured to provide guidance and service above all to all our business operations

A technology consultancy in the United Kingdom is seeking a Test Engineer / Lab & Systems Support Engineer to maintain a critical test and lab environment. Candidates with various backgrounds, including graduates in engineering or IT, are encouraged to apply.

Relief Social Care Assistant, St Brendan’s, Isle of Barra.Distant Islands Allowance per hour).You will work enthusiastically as a member of a team that promotes and supports Adults with Support Needs to actively take part within local resources and facilities, to maximise their inclusion, independ

Test Engineer / Lab & Systems Support Engineer. Maintain existing systems and documentation.

This is a casual, part-time role offering flexible working.As a Bank Care Assistant at a Barchester care home, you'll help residents enjoy each day by making sure they get the quality care and support they deserve.You'll assist with daily living, providing support and companionship and sharing grea

Location: Manchester - M11, M18, M22, M23, M20, M21, M19, M16, M14.We're sorry, but we do not currently offer sponsorship to applicants.With 14,000 colleagues across 32 care companies, we have one purpose: to make sure no one in need of care is ever forgotten or left behind.We’re not only changing

This is a casual, part-time role offering flexible working.As a Bank Senior Care Assistant at a Barchester care home, you'll look after the different needs of our residents to enable us to deliver quality, person-centred care and support.Your role will involve supervising and inspiring a team of ded

Python, Django, Backend Engineering, Cybersecurity, Threat Intelligence, Kubernetes, Docker, Celery, Elasticsearch, OpenSearch, AWS, Azure, GCP, CI/CD, Data Pipelines, LLM, OpenAI, Anthropic, AI Automation, Vulnerability Management, Security Operations, Cloud Infrastructure, Distributed Systems, Red

As an Activities Assistant at a Barchester care home, you'll deliver imaginative, fun and varied activities to ensure our residents can enjoy an environment that is motivational and fulfilling.We want to make sure each individual can pursue the interests they most enjoy and that means you'll have a

Systems Engineer alongside of experience as a Support Engineer, preferably within a large corporate environment managing a large fleet (1000+) of Mac devices. Provide similar systems engineering support for Windows devices and operate effectively in secure environments requiring security clearance.

As a Senior Care Assistant at a Barchester care home, you'll look after the different needs of our residents to enable us to deliver quality, person-centred care and support.Your role will involve supervising and inspiring a team of dedicated Care Assistants alongside the Deputy General Manager.You

Senior Electrical Engineer – Vehicle Electrification & Electrical Systems – Surrey – £70k to £90k. This is a senior, hands-on Electrical Engineering role responsible for leading the design, development and integration of low-voltage electrical systems across multiple vehicle programmes. Prev

Pulsar Vertex Fire & Security is a trusted provider of fire alarm systems, security systems, and high-grade industrial CCTV solutions across the United Kingdom. The position is for a Fire and Security Systems Installation Engineer. Proficient in Equipment Installation and Maintenance for fire alarm

Degree in Mechanical Engineering, Chemical Engineering, Process Engineering, or closely related discipline. Our most successful hires have come from a range of backgrounds including chemical engineering, process engineering, and mechanical engineering. This is a consulting engineering role — the p

As a Senior Systems Engineer, you will be responsible for the design, development, integration, and support of complex engineering products and systems. We’re partnering with a leading engineering and defence technology organisation seeking an experienced Senior Systems Engineers to join their gro

Familiarity with computer vision, robotics, or autonomous systems. We are hiring a Data Engineer to help build the systems that prepare, curate, and scale training and evaluation data for machine learning in autonomous driving. Experience working with ML data pipelines or supporting ML systems.

Vulnerability Research, Offensive Security, Exploit Development, Reverse Engineering, Patch Diffing, Python, Ghidra, IDA Pro, Burp Suite, Binary Analysis, Detection Engineering, AI Security, LLM Security, Fuzzing, Red Team, Application Security, Threat Research, RCE, Security Automation, Cybersecuri