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The Role & Key Responsibilities Job Title: Product Delivery Lead - Data & Analytics Location: Peterborough (Hybrid) Are you an experienced Product Delivery Lead with a passion for delivering innovative data and analytics solutions that create real business value? Do you thrive in fast-paced, Agile environments, bringing together cross-functional teams to deliver high-quality products that support business transformation? Our Data & Analytics Services team is looking for a Product Delivery Lead to drive the successful end-to-end delivery of our data and analytics products. Working closely with the Product Manager and technical specialists, you'll lead delivery across data engineering, business intelligence, AI, data science and architecture teams, ensuring solutions are delivered on time, within budget, and aligned to business priorities while continuously improving the way we deliver value. What you'll be doing Lead the end-to-end delivery of data and analytics products, translating product priorities into clear delivery plans that maximise business value. Coordinate cross-functional teams across data engineering, business intelligence, AI, data science and architecture to deliver high-quality solutions. Manage delivery plans, budgets, risks, dependencies and resources, ensuring projects are delivered on time, within budget and to a high standard. Work closely with the Product Manager to ensure delivery aligns with product strategy, customer priorities and business objectives. Champion Agile delivery practices, driving continuous improvement, consistency and increased delivery maturity across the Data & Analytics function. Ensure solutions meet agreed standards for data quality, security, privacy, governance and enterprise architecture. Build strong relationships with business stakeholders, suppliers and delivery partners, providing clear communication, progress updates and delivery reporting. Identify opportunities to improve delivery processes, documentation and ways of working to enhance efficiency and customer outcomes. What you'll bring Proven experience leading the successful delivery of data and analytics products within complex, cross-functional environments. Strong understanding of Agile delivery methodologies and product-led delivery approaches. Experience working with modern data platforms such as Microsoft Fabric, alongside tools such as Power BI, ServiceNow, Jira and/or Azure DevOps. Good understanding of data platforms, analytics, reporting solutions and enterprise data architectures. Demonstrated experience managing delivery risks, budgets, dependencies and competing priorities. Excellent stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences, including senior stakeholders. Experience working collaboratively with third-party suppliers and external delivery partners. A proactive, customer-focused mindset with the ability to take ownership, influence others and drive continuous improvement within a fast-paced environment. Location Hybrid, a mix of office and homeworking. This role will be based at our Peterborough offices on the Lynchwood Business Park. The office has recently been renovated and along with a modern work environment has great public transport links, free onsite parking, free drink facilities, free lunch option each day and a great team culture. About The Company Associated British Foods is a global giant when it comes to the world of food processing and retail. Our ingredients division is the world's second-largest producer of both sugar and baker's yeast and our grocery brands occupy leading positions across the globe meaning that, in the UK, nine out of ten households use our brands. Associated British Foods Business Technology Services (BTS) was first established in 2008 to deliver a centralised IT infrastructure and service to our fellow ABF businesses. We have now grown and operate in over 185 locations spread across 23 countries supported by a fantastic team of nearly 200. Our customers are at the heart of everything we do and we're looking for people who are eager to join us in supporting and delivering this vision. We want you to be a part of our future and to support you, so below are a handful of some of our benefits that are offered to our employees. AB Foods BTS match up to 10% pension (contributory) Up to 10% Bonus Opportunity to buy up to 5 days holiday per calendar year Discounts on ABF products such as Twinings, Silverspoon, Pataks and Ryvita 24/7 free and confidential access to an Employee Assistance Programme to support you as and when necessary Free lunch option available every day Access to a staff shop with discounted ABF brand products We're looking for dedicated and conscientious people who embrace and live our values. If you are an individual who thrives in a collaborative, trusting and pioneering work environment, ABF could be the right company for you.

We're the world's leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description Software Engineer, Premium Cricket Overview Imagine working in one of the most supportive communities you'll encounter in your career. At Sportradar, teamwork is more than a buzzword. It is a core value that shapes how we work every day. We place a strong emphasis on quality-focused engineering practices, cloud-first principles, and building our own products and services. It is an environment where you can deepen your expertise, continue learning, and maintain a healthy work-life balance. The Odds Tribe delivers industry-leading trading services used by more than 200 organisations worldwide. Our experts manage betting probabilities through advanced mathematical models. Clients can operate and customise their own sportsbooks through web-based interfaces, from event and odds creation to market monitoring and result confirmation. Our Premium Cricket team plays a central role in our cricket strategy, building high-performance applications that support data collection and distribution for the world's second most popular sport. At Sportradar, we are committed to fostering a diverse and inclusive culture. We work with a broad range of partners and customers and believe that everyone should feel empowered to bring their unique perspectives, experiences and ideas to work. Join our team and be part of a global, fast-growing success story. The Challenge You will: Use Specification-Driven Development, ATDD and BDD techniques in your day-to-day work. Embrace and utilise AI tools to accelerate development, improve code quality and optimise engineering workflows. Work with AWS, Serverless technologies and GitLab CI. Build high-performance products and services using real-time sports data collected globally, 24/7, across more than 30 sports. Your Profile You enjoy solving complex problems and working with focus and purpose. Learning is a natural part of your day, and you enjoy collaborating with people from different backgrounds. You stay up to date with industry trends and best practices, are comfortable working across the technology stack, and are interested in using modern AI-assisted development tools such as GitHub Copilot and Cursor to deliver high-quality software efficiently. Required Strong knowledge of asynchronous programming, LINQ and modern .NET development practices. Practical experience with front-end technologies, ideally React. A proactive approach to incorporating AI into your development workflow. Solid understanding of object-oriented programming, design patterns and RESTful APIs. A genuine interest in software product development trends and best practices. A positive, can-do attitude with pride in your work and the ability to maintain momentum. Experience integrating LLMs and AI APIs. Exposure to cloud platforms such as AWS, Azure or GCP. Experience working in Agile environments using Scrum or Kanban. Familiarity with CI/CD pipelines and container technologies such as Docker and Kubernetes. The Cricket Factor At Sportradar, sport is part of who we are. For this role, an interest in cricket is highly beneficial. The ideal candidate will: Understand the differences between Test, ODI and T20 formats. Be familiar with cricket terminology and match flow. Be excited by translating the complexity of cricket, including the DLS method, field settings and ball by ball data, into software solutions. Our Offer A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US). Involvement in shaping your own workday and career through high degree of freedom to choose technology and your personal development. The opportunity to work and develop within an inspiring and fast-growing company. The possibility to help shaping the future of Sportradar. All developers are directly contributing to products used by our clients in the global sports business. A company culture that promotes kindness, sports, physical exercise and teamplay. Innovative and cross-team challenges like Ship It, office sports tournaments in Darts, Table Tennis and Table Football. Competitive salary and benefits (e.g. retirement pension and insurance plan) Possibility to work from home office when needed. Vibrant Women in Tech community and Sportradar Pride group inside the company inclusive for everyone to participate in

We are looking for a Senior AI Engineer to join our growing Applied AI team. This is ahands-on, technically demanding role for someone who can contribute to building production AI systems while helping raise the technical bar of the team around them. You will work collaboratively across a fast-moving technology company, turningcutting-edgeresearch into practical, scalable solutions.This role reportsto the AppliedAILead. Responsibilities Lead data identification, cleaning, enrichment, preprocessing,feature engineering,andexploratoryanalysis to ensure fitness for AI workflows and to inform modelling and business decisions. Build, tune, andoptimisemachine learning, deep learning, and generative AI models,leveragingboth established andcutting-edgetechniques. Designand buildLLM-powered systems- RAG pipelines, prompt and context engineering, fine-tuning, structured outputs, function calling, context-window management,and secure model integration;selectingappropriately between standard and reasoning (test-time-compute) models, balancing capability against latency and cost. Designand buildagentic AI systems- tool-calling architectures, interoperability protocols (MCP, agent-to-agent), multi-agent orchestration, and multi-step reasoning with human-in-the-loop andappropriate trust, safety, and security boundaries. Leverageand contributeto agentic engineering tooling, including coding assistants,configurable permissions models,internal skills and plugins architectures, and sandboxed autonomous workflows integrated intoCI/CDand delivery pipelines. Applymodel adaptation techniques including parameter-efficient fine-tuning(LoRA,QLoRA), modeldistillation, and synthetic data generation for domain-specific and low-resource scenarios. Develop evaluation frameworks covering performance, hallucination, safety, cost, and non-deterministicbehaviouracross classical and generative AI systems. Optimisemodel inference and end-to-end pipelines for speed, cost, memory footprint, and scalability, including for CPU-constrained andairgappeddeployment targets. Develop andmaintainproduction-grade model pipelines and supporting software with strongMLOpspractices - covering real-time inference, batch processing, performance monitoring, drift detection, scheduled retraining, observability, governance, version control, and reproducibility. Providetechnicalguidance- architectural input, peer review, and mentoring of mid-level and junior engineers through code review, pairing, and knowledge sharing - raising the technical bar of the team and shaping secure, scalable, high-performing AI solutions. Work within Agile delivery teams - collaborating with data, platform, and software engineers to integrate AI into products, communicating clearly with technical and non-technical stakeholders, and championing engineering excellence and continuous improvement. Stay current with the latest research, frameworks, and trends across ML, deep learning, and GenAI, translating them into production-ready solutions. Required Knowledge, experience and values 5+ years of commercialexperience in AI and machine learning engineering and development - academic research experience is highly valued alongside this, buta track recordof commercial delivery is essential -withdemonstrabledelivery of production-grade models and systems across traditional ML, neural networks, and LLM-based systems. 5+years of commercial experience working withPython;familiaritywith C# is considered a bonus due to existing product integrations. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with an MScrequiredand a PhD highly desirable. Deep hands-on experience withPyTorch, Scikit-learn, and the Hugging Face ecosystem, with familiarity withMLFlowandAzureML; capable of making architecture and implementation decisions. Strong competence with Git, pull requests, automated testing, CI/CD,MLOps, and ML pipelines; experience with Azure DevOps and cloud-based ML infrastructure (Azure, AWS, or GCP) is beneficial. Strong grounding inclassical data science fundamentals - feature engineering, statistical analysis, experimental design, and model monitoring - alongside benchmarkingand the evaluation of non-deterministic AI systems. Practical experience with inferenceoptimisationincludingquantisation, latency reduction, cost-aware model selection, and resource-efficient deployment. Communicate clearly, translating complex technical work into actionable recommendations, and produce high-quality documentation including technical decision records. Operate independently and make sound technical decisions within complex, ambiguous contexts, witha track recordof owning problems end-to-end. Prior cybersecurity or business domainexpertiseis not a prerequisite, although would be highly relevant. We encourage you to apply even if your experience is not a 100% match with the position. Beneficial Knowledge, experience, and values Familiarity with containerisation (Docker, Kubernetes), event-driven or microservices architectures, and distributed data processing at scale. Experience with embedding pipelines, vector search, and semantic retrieval for RAG systems. Knowledge of LLM evaluation techniques including structured evals frameworks, hallucination mitigation, benchmarking, and human-in-the-loop evaluation. Understanding of AI safety, responsible AI principles, governance, and regulatoryand standardsawareness (e.g. EU AI Act, NIST AI RMF, ISO/IEC 42001), including bias detection, explainability, and auditability. Familiarity with security best practices in AI systems, particularly around prompt injection risks, data handling, and model misuse. Understanding of AI applied in cybersecurity contexts, including concept drift, adversarial robustness, andmodel assurance challenges. Exposure to data engineering practices including ETL/ELT pipelines, data versioning, and schema management. Awareness of multi-modal data handling include vision, audio, or document-based inputs. Contributions to open-source projects, research publications, or participation in AI/ML communities and conferences. Demonstrated curiosity and ability to balance research-oriented thinking with pragmatic engineering delivery in a commercial environment. About Us We didn't start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitization filters in the US Intelligence Community's highly classified networks. We are rated by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we're trusted by commercial and government organisations around the world. In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company and one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead. With PSG's strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders. Cybersecurity is a mission-critical field, and we've always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that while maintaining the same leadership, values, and commitment to excellence that have brought us this far We're excited for what's to come so now is a great time for you to join us on our journey. Inclusion At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life . click apply for full job details

We are seeking an experienced and proactive Senior IT Support Engineer to join our growing IT team. This is a senior technical role requiring strong troubleshooting skills, infrastructure experience, and the ability to lead and mentor junior support staff. The successful candidate will act as the primary escalation point for complex technical issues while helping to maintain a secure, reliable, and high-performing IT environment. Join METCLOUD - Securing the Future of Sovereign Cloud and AI. METCLOUD is an award-winning Cloud Security Service Provider at the forefront of the UK's rapidly evolving digital landscape, recognised as a key driver of UK data sovereignty. As organisations increasingly adopt cloud, AI, and Generative AI technologies, the need for secure, compliant, and sovereign platforms is growing, and METCLOUD is leading the way. With sovereign cloud, AI, and cybersecurity adoption projected to grow significantly over the next decade, this is a great opportunity to join a company at the intersection of cloud security, artificial intelligence, and national digital resilience. We are not only enabling innovation but also securing it. METCLOUD specialises in sovereign, private, and public cloud security, delivering innovative, tailored services that seamlessly align with our clients' operational, regulatory, and security requirements. We leverage cutting edge cybersecurity technologies, alongside AI and Generative AI capabilities, to enhance threat detection, automate security operations, and protect sensitive workloads, including AI driven applications and data pipelines, across complex cloud environments. Headquartered in Birmingham, METCLOUD aims to build a globally recognised brand known for trusted, secure cloud and AI enabled cybersecurity solutions. Our platforms help organisations safely adopt AI and Generative AI while keeping full control over their data, models, and intellectual property. Our people are central to our success. We foster a culture of innovation, collaboration, and continuous learning, so our teams can work with the latest cloud, security, and AI technologies and make a tangible impact in a fast growing market. If you are passionate about cloud security, AI, Generative AI, and shaping the future of sovereign digital infrastructure, METCLOUD offers an exciting opportunity to join a company defining the next era of secure cloud services. Key Responsibilities Technical Support Provide advanced Level 3 support for hardware, software, network, and infrastructure related issues. Act as the escalation point for incidents that cannot be resolved by Level 1 and Level 2 support teams. Diagnose and resolve complex technical problems across desktop, server, network, and cloud environments. Support and administer Microsoft 365, Azure, Active Directory, Exchange Online, and related services. Manage Windows Server environments, Group Policies, file services, and user administration. Monitor, maintain, and optimise network infrastructure, including switches, firewalls, wireless networks, and VPN connectivity. Ensure backups, disaster recovery processes, and security controls are operating effectively. Maintain technical documentation and contribute to the knowledge base. Leadership & Team Support Mentor and provide technical guidance to 1st and 2nd Line support engineers Assist with ticket prioritisation, workload management, and escalation procedures. Support onboarding and training of new team members. Promote best practices in customer service, troubleshooting, and IT operations. Collaborate with management on service improvements and IT projects Projects & Continuous Improvement Participate in infrastructure upgrades, system migrations, and cloud adoption projects. Identify recurring issues and implement long term solutions. Recommend improvements to systems, processes, and security controls. Support IT audits, compliance requirements, and cybersecurity initiatives. Experience Minimum 10 years' experience in IT support or systems administration. Strong knowledge of: Microsoft 365 Administration Microsoft Exchange Online Microsoft SharePoint Online Microsoft Entra ID Microsoft Azure Microsoft Windows Server Administration Microsoft Active Directory and Group Policy Virtualisation technologies (VMware and/ or Hyper V) Endpoint security and device management Backup and disaster recovery solutions Networking (TCP/IP, DNS, DHCP, VPN, VLANs) Network switching and Wi Fi (Aruba) Network Security (SonicWALL) Proven experience troubleshooting complex technical issues. Excellent communication and customer service skills. Ability to work independently and manage multiple priorities. Desirable Qualifications Microsoft Certified: Azure Administrator Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Windows Server Hybrid Administrator Associate Microsoft Certified: AI Business Professional Microsoft Certified: Copilot and Agent Administration Fundamentals ITIL Foundation Certification. CompTIA Network+, Security+, or equivalent. Experience with cybersecurity frameworks and best practices. Skills Ability to work independently and as a member of a team. Excellent interpersonal and communication skills and effective report writing skills. Flexible approach to work according to the needs of the organisation and excellent organisational skills. Confident in using IT applications. Attention to detail and good timekeeping. Ability to demonstrate high levels of attention to detail. Benefits Salary negotiable 25 days annual holiday + bank holidays Company pension scheme (after the qualifying period) Private Health Care (after 1 year of completed service) Private Life Insurance Great working environment with a young and passionate team Part of a company which strives to invest in People (training, wellbeing programs) Working hours: 37.5 hours per week

Avanade is the perfect stage to bring your thoughtful, energetic, and curious approach to technology consulting. Our talented Azure Platform Practice consists of some of the most dedicated and passionate professionals in the field and we plan to grow! With Avanade, you will be focusing on the Azure Public Cloud, Edge and Hybrid and working with the newest Microsoft technologies on exciting client projects. If you like pushing boundaries by outsmarting challenges, read on! Come join us. The Azure Platform Practice is at the core of Avanade's excellence: delivering high-quality, complex projects with global impact. We focus on building and running reliable and secure cloud foundations-from large scale landing zones to data and application platforms. We are committed to making our clients' cloud journey smooth-whether it's moving existing systems to help in datacenter exits, creating new cloud native solutions, or improving an existing cloud presence. Innovation and client satisfaction are part of our essence. Our team is a fast-growing, diverse group of more than 150 passionate enthusiasts and specialists in Azure technologies. We actively acknowledge and reward quality, encourage learning, and have a strong focus on the career and development opportunities of all our people, making sure our employees are proud of working at Avanade is central to us! Together we do what matters. What you'll do Use your deep knowledge of Azure cloud services to design resilient, scalable and secure cloud environments covering the full breadth of the Azure platform Design and implement Azure Landing Zones to establish a scalable, secure and compliant foundation for deploying cloud services Lead complex migrations for on premises infrastructure, applications, and databases to Azure Develop solutions for Edge and Hybrid scenarios by integrating Azure Stack and other technologies to extend Azure capabilities to on premises environments and edge devices Architect and deploy Cloud Native solutions using Azure Kubernetes Service (AKS), Azure Functions, and Azure DevOps Qualifications You have extensive experience leading the design, development, and deployment of Azure based solutions - you can see the big picture but maintain credible hands on skills You can take ownership of complex technical challenges and drive to conclusion You have great communication and interpersonal skills and can convey concepts so everyone understands You are able to build relationships with stakeholders at all levels - including up to C level You are comfortable overseeing and providing technical guidance to large and small teams to design and implement solutions You are able to work alongside delivery leadership to create and implement a work plan for your solutions About you Analytical, curious, agile Team player and good communicator Problem solver, patient, quality driven Self motivating Innovative mindset Why Avanade Structured learning and paid certifications with clear pathways to progress into senior engineering and architecture roles. Work on varied client engagements, including regulated environments where quality and security matter. A supportive, collaborative culture with mentoring from experienced practitioners across the global Avanade community. Equal Opportunity Equal Opportunity Avanade is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together we do what matters.

Site Reliability Engineer with Python Our Client looking to bring on a site reliability engineer to help deploy, manage, troubleshoot, and enhance our complex cloud-based set of internal tools and externally managed services for a variety of users across our wide-ranging organization. You will have at least 7 to 10 years hands on expertise working as a Site Reliability Engineer. You will work closely with IT, product, and engineering to extend and maintain this set of tools and services and to help debug and resolve problems. In addition, the ideal candidate will proactively look for system weaknesses and find ways to resolve them before they can cause production issues via monitoring and data we aggregate through various tools within our organization's IT & DevOps toolkit. Responsibilities Keep our suite of internal apps and services up and running or getting it back up and running quickly if a failure were to occur Be the technical point person of operational responsibility for two core platforms (one mobile and one web application) i.e. engaging as appropriate upon escalations from the IT support group whether it be problem solving, addressing production issues, enhancing features etc. - collaborating with engineers and others as needed Work closely with internal partners and teams as well as external vendors to ensure that we ship software that meets our code quality, security and performance requirements Write, update, and use our documentation, including runbooks and/or playbooks Help automate existing or build new internal workflows including ongoing infrastructure needs, testing, failover mitigations, and more Debug complex problems across our entire web and mobile application stack and advise key stakeholders on solutions, as well as implement said solutions if appropriate Further our internal CI/CD processes to improve release cadence and developer experience Participate in the daily / weekly software development process (standups, sprint planning, retros, issue tracking, etc.) Actively lead any critical issue post-mortem processes, including coordination of any meetings and further steps to take Qualifications 7+ years experience with software engineering, software development, and/or system operations Experience debugging complex problems and implementing timely cost effective solutions Experience designing, building, and operating large scale production systems Deep knowledge of Python is preferred, though other languages like Java, Go, Rust, or similar will also be heavily considered Experience using source control (Git, GitHub) and feature branching strategies Experience with a variety of open source databases (MySQL, Postgres, Redis, etc.) Experience with DevOps engineering and working with container orchestration, such as with Docker or Kubernetes Experience with log monitoring and observability via platforms like Sumologic or Cloudwatch Experience automating infrastructure, testing, and deployments using tools like CircleCI Configuration management tooling and infrastructure as code knowledge is preferred but not required Experience working with AWS services, with knowledge of Azure / Google ecosystems helpful but not required Strong familiarity with general modern web and mobile application development, including hands on experience working with JavaScript (Typescript preferred) and Python stacks Cross functional team collaboration experience, especially working with engineers and user experience / product designers, as well as external stakeholders Strong skills for weighing and managing scope, risk, quality and timelines Strong focus on quality, security, performance, and end user experience This is an exciting position with an exciting organisation based in Central London and New York. The position can be London or New York based. The salary for this position will be circa £80K - £100K.

About you You're happy working across teams and departments to align and coordinate the development and delivery of data centric solutions. You spot risks and opportunities and fill in the gaps between delivery teams. You help remove blockers throughout the data supply chain. You produce demos and MVPs for analysis to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. Role Responsibilities Coordinate across teams to ensure consistent data product development and utilisation, establishing and delivering the defined data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. Advocate for teams delivering data as a product. Collaborate on the design of the research data ecosystem, addressing disambiguation, data product creation, API development, model building, harmonisation, standardisation, and governance. Adopt company standardised technology, including cloud platforms, and collaborate with technology teams to improve offerings. Consider the best technology for data teams, given a spectrum of technical literacy. Work with data privacy and governance teams to ensure data security and appropriate accessibility, adhering to relevant regulations (e.g., GDPR). Build relationships with other departments/disciplines/groups to ensure alignment and collaboration. Clarify constraints, trade offs, or important decisions to non technical stakeholders. Introduce business and product leaders to data and data engineering concepts and align solutions to user and business needs. Foster a safe and collaborative technical community, growing technical knowledge and cultivating knowledge sharing in and across teams. Provide data related technical and architectural assistance to product delivery teams and IT when needed. Assist and support tech leads and senior developers to help unblock issues. What you will be doing 1 month Collaborate with key stakeholders (product managers, engineers, architects) to understand the current state of the research data landscape and identify immediate opportunities for improvement. Document the as is data/technical landscape for research data and the wider domain. Begin building relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles. Start to map out the existing data sources and identify potential issues that need to be addressed. 3 months Maintain a high level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6 12 months, and present to senior leadership. Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms. Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements. Create an architectural forum to bring together architects and tech leads in the research data initiatives. 6 months Based on feedback from initial delivery, refine the roadmap and architecture, incorporating lessons learned and adjusting priorities as needed. Scale the successful approaches to other areas of the research data ecosystem, empowering teams. Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organisational goals. Skills & Experience Essential Proven experience designing, delivering, and scaling data intensive applications. Demonstrated ability to architect data solutions that meet performance, scalability, and security requirements. Experience working on transformation projects involving introducing new technologies and ways of working within a business. Ability to drive adoption of new data architectures and technologies. Ability to clarify and uncover technical requirements, risks, and opportunities with tech leads and collaborators. Experience translating business needs into technical specifications. Advocacy for and enforcement of cross functional technical and data requirements (e.g., GDPR, security, operability). Deep, demonstrable experience delivering with various types of databases and design, including relational databases, NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault). Hands on experience with cloud data platforms and services (AWS, Azure, GCP). Familiarity with cloud native data architectures and technologies. Desirable Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. For all roles in all locations, we offer a competitive, industry benchmarked salary. To find out more about the package provided at each location, visit

Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. Purpose of the Role This is an opportunity to join our Software Engineering community as a Site Reliability Engineer (SRE) leading initiatives that create and improve the CI Platform as a Service (Paas) offering to the product delivery teams. Enabling product development teams to deliver software products on immutable infrastructure. Developing and facilitating production and development infrastructure and associated tooling. Integrating third party managed services used for delivery and development lifecycle. Lead on implementation of the CI cloud governance policy and be a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development needs. Be an open minded technologist who values a collaborative work environment and is willing to learn and explore as the fast paced industry evolves and changes. Key Responsibilities Key contributor to the Roadmap for the CI Platform. Development and maintenance of the CI Platform. Collaborate and consult with software engineers and data scientists to help design and implement robust and scalable software products. Knowledge sharing and education of team members to enable our DevOps culture. Proactively monitor costs and security posture of the CI Platform and products running on it. Define and implement tooling to continually improve our software development, release and maintenance processes. Develop product features with product delivery teams, building upon the CI Platform offering. Supporting our live systems, including identifying and implementing improvements to products, tools and processes to improve the on going reliability of our solutions. Design and implement infrastructure for multi region and multi tenant products and platform. Design and implement monitoring infrastructure for real time data streams. Design network and access to allow software engineers and data scientists to access services in AWS while keeping the services and data safe and secure. Enable and collaborate with teams to automate the entire delivery of a product. From a single web application to the configuration of a cloud account. Design and implement security and access management so that users and roles have access only to resources they need within the AWS account and attaching IoT devices. Identify root cause of live issues, to help both recover any immediate situation and design/implement improvements for future reliability. Experience We are Looking For Working with delivery teams deploying software on the cloud. Strategic technical leadership, in particular related to Site Reliability Engineering. Evidence of tailored and contextual communication in all directions to realise value as feedback and enquiry. Hands on experience in delivering production quality services. Experience in supporting live production systems. Required We are looking for an applicant who has: a Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience. 5 + years of hands on experience with large cloud providers such as AWS, Azure, GCP, or OCI. Leading technical initiatives including roadmap input, cross team collaboration and mentoring. Proficiency in Infrastructure as Code (IaC) tools such as Terraform. 3 + years of hands on experience with containerization and orchestration tools like Docker and Kubernetes. Experience working in and developing for a Linux environment. Excellent programming, debugging, and optimisation skills and at least one strong purpose programming language (Go or Python preferred). Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc. Experience in troubleshooting incidents and live environments. Ability to write and speak in English fluently. Desirable & Development Areas Familiarity with AWS Well Architected Framework. Designing, building and maintaining multi tenant and multi region cloud infrastructure. Exposure to configuration management tools like Ansible or SaltStack. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Cost optimisation experience at a platform or organisation level. Experience of IoT systems integration, protocols, and services, including gRPC and MQTT. Networking concepts and network performance modelling / optimisation. Experience with Hashicorp tools like Vault or Consul. AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co ordinated with other members of the Engineering team. What We Can Offer You Annual leave (25 days + bank holidays, pro rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary. Opportunity to join the Motion Applied Pension Plan. Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do. Motion Applied are also members of the UK Government Disability Confident Scheme.

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving transformational change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data, and business applications. We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals. About the role As a Data Manager, you will support the effective management and governance of data within a renewable energy environment, helping to improve the quality, consistency and accessibility of business critical information. Working closely with business and technical stakeholders, you will help develop and implement a centralised approach to managing data, supporting data governance, quality and standardisation across multiple data sources. The role will involve working collaboratively with project, engineering, environmental and operational teams to understand their data requirements and ensure information is managed effectively throughout its lifecycle. You will also support data management solutions and associated systems, helping to improve how data is structured, maintained and used across the organisation. As a Data Manager, you will: Support the development and implementation of a centralised data repository for renewable energy generation data Develop and maintain data governance standards and processes Support the definition of data ownership and stewardship responsibilities Work with business and technical stakeholders to understand and document data requirements Support the design, implementation and integration of data management solutions and associated systems Help improve data quality, consistency and standardisation across multiple data sources Support data migration, validation and ongoing data maintenance activities Contribute to the development of data models, metadata standards and reporting frameworks Support effective master and reference data management practices Work collaboratively with project, engineering, environmental and operational teams to improve the management and use of business critical data Identify opportunities to improve data management processes and capabilities. Qualifications Experience working within data management, data governance or information management A good understanding of data governance principles and practices Knowledge of master and reference data management Experience of data quality management and improvement Understanding of metadata management and data lifecycle principles Experience working with stakeholders to gather and understand data requirements Experience supporting data management solutions, system implementations, migrations or integrations An understanding of data integration and ETL processes Strong analytical and problem solving skills The ability to communicate effectively with both technical and non-technical stakeholders The ability to manage multiple priorities and work collaboratively across different teams Desirable experience Experience within the energy, utilities, infrastructure or engineering sectors An understanding of asset, engineering, environmental or project data Experience working with database technologies such as SQL Server, Azure SQL, PostgreSQL or similar Familiarity with enterprise asset management systems such as IBM Maximo Knowledge of information governance standards such as ISO 9001 or ISO 27001 At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don't tick all the boxes but feel you have some of the relevant skills and experience we're looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

The Junior Data Engineer is a new role within the Business Services Development team, created to help unlock the value of the firm's data and support our long-term Data and AI strategy. Working alongside experienced technology professionals, this role will contribute to the operational support, design, development and maintenance of our data platforms. The role combines hands-on technical delivery with continuous learning across data engineering, database administration and analytics. Responsibilities include supporting our operations, developing and maintaining data pipelines, supporting SQL Server environments, improving data quality and performance and ensuring business data is secure, reliable and accessible. This is an excellent opportunity for someone looking to build on their experience and career in Data Engineering. The role provides exposure to Microsoft SQL Server, Azure Data Services, Microsoft Fabric and emerging AI technologies, while working within a collaborative and supportive environment. Key Responsibilities Maintain, monitor Azure database solutions. Investigate data issues and help resolve discrepancies across source systems. Maintain documentation for data flows, database objects and operational support processes. Build and maintain solutions to extract, transform, and load (ETL) data from various sources (case management system, document management system, finance system, etc.) into centralised data repositories (data Lakehouse). Ensure pipelines are efficient, reliable, and well-documented. Implement a unified data warehouse/data Lakehouse/Medallion Architecture within Fabric/Azure for the business analytical needs. Model structured data (e.g., relational tables in Azure SQL or Microsoft Fabric) to support flexible reporting and analysis, and manage unstructured/semi-structured data (documents, text logs) in a data lake. Combine data from on-premises SQL Server and cloud databases, available APIs as well as files and external data, to create a single source of truth for insights. Develop pipelines, notebooks and workflows for datacleansing, normalisation, and aggregation. Resolve data quality issues by implementing validation rules and collaborating with data owners to correct source data when necessary. Monitor and tune the performance of data queries and pipelines. This includes indexing strategies, query refactoring, partitioning of data, and scaling of Azure resources to meet demand. Support data governance best practices, including access controls for sensitive data, data encryption, and compliance with data privacy regulations (GDPR, etc.). Work with IT security and compliance teams to ensure data solutions meet the company's confidentiality and security standards. Stay current with advancements in data engineering, analytics, and AI. Handle the day-to-day management of the analytical data infrastructure. This includes scheduling and monitoring ETL jobs, troubleshooting failures or data inconsistencies, and ensuring high availability of critical analytics databases. Provide backup and recovery support and front-line support for data-related inquiries or issues. Skills Essential Proficiency in SQL (T-SQL) and strong knowledge of SQL Server (on-prem and Azure SQL). Able to design and optimise relational schemas, indexes, views, and stored procedures for complex data processing. Hands-on experience building ETL/ELT workflows. Familiarity with tools like Azure Data Factory, Fabric Pipelines. Knowledge of Materialized Lake Views (or similar ETL tools) and Logic Apps for orchestrating data movement and transformation between heterogeneous systems. Proficiency in Microsoft Azure data services, including Azure Data Lake Storage, Microsoft Fabric, Medallion Architecture. Strong ability in a programming language for data handling, ideally Python & TSQL. Familiar with scripting for automation (PowerShell or Bash). Demonstrated ability to manipulate data through code (e.g., parsing JSON, calling APIs, etc.). Knowledge and awareness of NoSQL and Big Data Tools including NoSQL databases (e.g., Cosmos DB, MongoDB) and understanding of when to use them. Experience developing reports or dashboards in Power BI (preferred) or similar BI tools (Tableau, Qlik). Monitoring & Alerting: Implement telemetry, logging, and monitoring for cloud data platforms built on Microsoft Fabric and Microsoft Azure, leveraging Azure Monitor, Log Analytics, and Application Insights to track pipeline health, automate alerts, and ensure reliable operation of data ingestion and transformation pipelines. DevOps & CI/CD: Knowledge of modern software development practices. Comfortable using Git for version control. Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or similar) to automate deployment of data projects. Understanding of Infrastructure-as-Code (e.g., ARM templates, Terraform) for provisioning data infrastructure. Security & Governance: Deep appreciation for data security, privacy, and governance. Familiar with implementing role-based access control, data masking, and encryption. Understands regulatory requirements around data (GDPR, etc.) and ensures compliance in data engineering solutions. Problem-Solving: Excellent problem-solving skills with the ability to troubleshoot data issues across systems (from source data irregularities to ETL bugs to performance bottlenecks). Communication: Strong written and verbal communication skills. Able to document workflows clearly and to explain technical concepts or analysis results to non-technical stakeholders in plain language. Collaboration: Proven ability to work collaboratively in cross-functional teams. Open to feedback and skilled in gathering user requirements. Customer-service mindset when addressing the needs of internal clients (attorneys, management). Desirable Additional Programming: Familiarity with Python or C# for integration with our .NET systems could be beneficial. Infrastructure Knowledge: Experience with hybrid environments (on-prem to cloud integration), and knowledge of networking as relates to data transfer, etc. Experience with high-availability architectures for data pipelines. Project Management: Knowledge of Agile project methodologies. Competencies Adaptability: Ability to switch between different projects and technologies as needed Time Management: Effectively prioritise and manage multiple responsibilities Communication: Clear and consistent communication with team members, management, and stakeholders Teamwork: Collaborate effectively within a team while also being capable of independent work Problem-solving: Analyse complex issues and develop effective solutions Attention to Detail: Emphasis on quality and thoroughness in all aspects of work Continuous Learning: Proactively seek out and apply new knowledge and skills Initiative: Self-motivated with the ability to take ownership of tasks and projects Critical Thinking: Ability to challenge assumptions and ask insightful questions to ensure optimal solutions. Qualifications Education: Bachelor's degree in computer science, Information Systems, Equivalent hands-on experience will be considered. Experience: Minimum 2 years in a data-focused role, with a proven track record of successfully delivering of supporting SQL Server, data pipeline and analytics projects. Other Requirements: Experience in a law company's or professional services environment is welcome but not required. A strong interest in the legal technology domain and eagerness to learn about intellectual property data is important for cultural fit. The Company Potter Clarkson LLP is one of the leading pan-European Intellectual Property law firms, with seven offices across the UK, Denmark, Sweden and Germany. We offer clients a full IP service to support them in achieving their commercial objectives. We pride ourselves in the exceptional level of client care offered by our approachable and engaged team. The firm is consistently ranked in the top tier of major legal guides, such as Legal 500 and MIP. We also hold three independent ISO accreditations which evidence our high level of environmental awareness, service provision and information security. We are committed to promoting a healthy work-life balance, and supporting the wellbeing of all our people. We offer a wealth of health and wellbeing benefits and resources including healthcare, attractive flexible working options, sports and social groups, virtual yoga and mindfulness sessions, a virtual wellbeing hub, mental health first aiders, and a busy social calendar. Benefits We offer a flexible working policy, with employees expected to be in the office two - three days per week. Initially, the successful candidate will need to work in the office full-time to facilitate their training and integration into the company. Competitive salary, dependant on experience. Birthday leave. Salary sacrifice pension scheme. One paid day off per year for charitable work. Health care packages. Discount vouchers. Company aways days. We are committed to providing a highly supportive, inclusive and stimulating workplace for all our people. Read more about how we're building a more equal, diverse and inclusive culture here

DevOps Engineer - Marketing Data Platform (Azure & Big Data) Location: London, UK Rate: up to £500 per day, inside IR35 Working Mode: 3 days on site per week, London office Description We're looking for a DevOps Engineer - Marketing Data Platform (Azure & Big Data) to join our client (Financial Services) team in London, UK in hybrid working mode. You will play a key role in designing and implementing the global marketing data platform that consolidates client profiles and marketing preferences into a centralized master repository. This system will manage data pipelines from multiple sources, handle master data management elements, and distribute data via APIs and bulk feeds to marketing platforms. The role requires expertise in Infrastructure as Code (IaC), CI/CD automation, and experience in cloud-native and big data ecosystems. Responsibilities Design, implement, and maintain CI/CD pipelines leveraging tools like GitLab, Jenkins, or TeamCity Enable Infrastructure as Code (IaC) practices using Terraform for scalable deployments in Azure Collaborate closely with architects on end-to-end solution designs, ensuring alignment with enterprise architecture standards Manage Azure PaaS components, including Azure DevOps, Vault, and other security and configuration services (AKS experience is beneficial) Integrate and optimize data processing frameworks with Spark, Databricks, or Cloudera platform (Hue, Hive, HDFS) Support ETL pipelines built for master data management, customer profiles, and consent management workflows Ensure environments are stable, secure, and optimized for high-volume data flows across multiple downstream systems Troubleshoot environment, deployment, or automation issues quickly and effectively Partner with engineering and data teams to implement best practices for DevOps, governance, and cloud operations Must Have Skills Proven DevOps expertise in cloud environments, including IaC and CI/CD pipeline management Strong hands on skills in Terraform and scripting (Shell or PowerShell) Experience working with GitLab and integrating automation into build and release cycles Exposure to Azure Cloud and PaaS services, including Azure DevOps and Vault Familiarity with data engineering and big data ecosystems, including Spark and Cloudera stacks (hue, hive, HDFS) Excellent problem solving skills and ability to communicate technical solutions effectively Previous experience working on data driven projects and master data management solutions Nice to Have Skills Hands on experience with Azure Data Factory and Databricks for advanced data processing Knowledge of AKS (Azure Kubernetes Services) for containerised workloads Background in development using Java, C#, or JavaScript for automation or service integration Knowledge of customer data platforms, personalization strategies, and data governance requirements

Cloud Platform Engineer (Senior / Lead) Department: Technology Employment Type: Permanent - Full Time Location: London Reporting To: Description About the role We are looking for a hands on Senior / Lead Cloud Platform Engineer to shape and run the multi cloud foundation that our engineering, data and product teams build on everyday. This is a senior individual contributor / tech lead role at the heart of a modern hybrid cloud strategy. Our goal is to make cloud infrastructure effectively invisible and commoditised for internal teams: engineers should ship through self service golden paths and a well designed internal developer platform, without needing to understand the underlying cloud plumbing. You will treat platform capabilities as products, with clear APIs, paved roads, strong defaults and great developer experience. A defining part of this role is preparing our infrastructure for a future (or present) where some "engineers" are AI agents. You will design platforms, guardrails and interfaces that let both human engineers and autonomous AI agents provision, operate and optimise infrastructure safely - and you will use AI agents heavily yourself to automate and optimise day to day platform work. Security is central, not an afterthought. You will help drive a zero trust approach across identity, network, workloads and data, ensuring the platform is secure by default for humans and machine/agent identities alike. You will also work closely with our data function, helping design and optimise the data pipelines, data stores and large scale analytics infrastructure (for example BigQuery and similar warehouses) that the business depends on. What you'll do Design, build and operate our multi cloud and hybrid cloud platform across at least two of the top three providers (AWS, Azure and/or Google Cloud), plus on prem/hybrid connectivity where needed. Build and own an internal developer platform and self service "golden paths" that make cloud infrastructure feel invisible and commoditised for engineering, data and product teams; and their AI agents. Deliver everything as code: infrastructure as code, GitOps, reusable modules, CI/CD pipelines and policy as code guardrails. Leverage AI agents extensively to automate and optimise platform work-provisioning, cost and performance optimisation, incident response, remediation and documentation. Prepare the infrastructure for AI agents as first class "engineers": safe machine identities, scoped permissions, sandboxes, approval workflows and audit trails so agents can provision and operate infrastructure within tight guardrails. Embed a zero trust security model across identity, network, workloads and data for both human and machine/agent identities; secure by default, least privilege, secrets management and continuous compliance. Apply SRE practices-SLOs/SLIs, observability, capacity planning, resilience and blameless incident management-to keep the platform reliable and cost efficient. Partner with data engineering to design and optimise data pipelines, data stores and large scale analytics infrastructure such as BigQuery, including query, cost and performance tuning. Mentor engineers, set technical direction and champion strong platform and security engineering standards across the organisation. What you'll need to succeed Essential requirements: Extensive hands on experience designing, building and operating production cloud infrastructure at senior or lead level. Multi cloud experience across at least two of the top three providers (AWS, Microsoft Azure and Google Cloud), including a recognised professional level cloud certification for each of those two providers (for example AWS Solutions Architect / DevOps Engineer Professional, Azure Solutions Architect / DevOps Engineer Expert, or Google Cloud Professional Cloud Architect / DevOps Engineer). Strong background in modern hybrid cloud architecture and connecting cloud with on prem/edge environments. Deep infrastructure as code and automation skills (e.g. Terraform/OpenTofu, Pulumi, Ansible), GitOps and CI/CD, plus containers and orchestration (Docker, Kubernetes). Proven experience building internal developer platforms, self service golden paths and platform as a product to abstract away cloud complexity for engineering teams. Practical experience using AI agents / LLM based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely. Strong security engineering mindset with hands on zero trust experience across identity, network, workloads and data-including secrets management, least privilege IAM and machine/workload identity. Solid programming/scripting ability (e.g. Python, Go) and strong observability, reliability and cost optimisation practices. Desirable requirements: Experience working as a Site Reliability Engineer (SRE) with SLOs/SLIs, error budgets and incident management. A third top tier cloud certification, or specialist security/Kubernetes certifications (e.g. CKA/CKS). Significant data engineering experience: designing and operating data pipelines and data stores, and optimising databases and large scale data infrastructure such as BigQuery (including query, cost and performance tuning). Experience preparing environments for autonomous or agentic workloads-sandboxes, scoped machine identities, approval workflows and audit trails. Experience in a regulated or fintech environment. Your approach to work: Pragmatic and hands on, with a strong bias for automation and eliminating toil. Product mindset- you treat internal engineers (human and AI) as your customers and obsess over their experience. Security and reliability first, collaborative, and comfortable leading and mentoring. Important to know Location: We have multiple offices across the UK. We have a new office in London which is becoming more central to where we collaborate in person. We have a flexible working policy with a few days per week in the office. Right to Work: Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.

Overview Opticore IT are currently searching for a Senior Project Manager to lead a critical Cloud & Data Platforms project. The successful candidate will lead cross functional teams to build and migrate cloud ecosystems (AWS, Azure, Google Cloud) and data platforms. This opportunity is hybrid and based in Central London 1 or 2 days a week. Opticore IT is a specialist Network Engineer and Project Management consultancy offering a wide variety of opportunities to work within fast paced, challenging environments across our client base spanning multiple sectors including Finance, Broadcast Media, Telecommunications and more. Responsibilities Lead the build and delivery of new AWS accounts which host our Enterprise Platform workload and manage the migration of key workloads into this new account. Define project scope, goals, and deliverables. Prepare and maintain required governance artifacts, including the project charter, detailed project plans, budgets, and the RAID (Risks, Assumptions, Issues, Decisions) log. Develop project plans, establishing clear milestones, cutover criteria, and rollback. Coordinate the technical categorisation and separation of data, guaranteeing zero data loss. Manage the development and execution of comprehensive communication plans, and business change strategies to ensure a seamless experience for users. Communicate project status, risks, and issues effectively to executive stakeholders and manage relationships with third party implementation partners and internal technical resources. Facilitate collaboration between Cyber Security, Data Privacy, Legal, and Technology teams to align technical automated controls with core business governance rules. What you'll bring Experience in managing complex Cloud infrastructure migrations. In depth experience in Cloud to Cloud migrations across AWS and GCP, utilising CSP tooling to achieve a simple and cost effective outcome. Understanding of Agile software delivery approaches including CI/CD and tooling like Github. Change Management skills: Strong background in organisational change management and user training strategies. Communication: Excellent interpersonal skills with the ability to influence stakeholders at all levels. Been part of a delivery team that has experience of Data Centre Hardware capabilities. Diversity At Opticore IT we embrace diversity and are committed to equal opportunities. We actively recruit for an inclusive and diverse workforce and as such, want to ensure we do everything we can to support your application. We want you to feel empowered to let us know if you require any adjustments to be made with your application or interview process so, please speak to our recruitment team.

Azure Cloud ArchitectApplyremote type: Hybridlocations: Crawleytime type: Full timeposted on: Posted Todayjob requisition id: RLocation: Crawley, United KingdomThales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. Cyber Security & Digital Identity (CDI) From secure software to biometrics and encryption, CDI technologies and services enable businesses and governments to authenticate identities and protect data, so they stay safe and enable services in personal devices, connected objects, the cloud and in between. Description: UK TrustNest is an underpinning capability forming part of the wider UK Digital Competency Centre playing a pivotal role in Thales UK's digital transformation agenda. As a member of the leadership team, you will be transforming how the organisation develops, deploys and manages accredited software solutions to our Customers. Key Responsibilities: Act as an industry expert in cloud, infrastructure, and network technologies Serve as a leader and subject matter expert to guide the platform team Design and architect next generation architectures across multiple domains including storage, compute, network, containerisation, and cloud native applications. Build solution architectures that align requirements, reference architectures design patterns and technology standards Lead collaboration with project teams, application, data, integration, infrastructure, and security enterprise architects to develop and deploy comprehensive solution architectures. Develop extensible architectures to enable future technology agility. Provide strategic support to staffing teams and key stakeholders with thought leadership, program design principles and implementation support. Research, analyse and recommend technical approaches for solving difficult and challenging architectural problems. Provide technical and governance direction to internal and external implementation teams. Participates in the vendor request for proposal (RFP), tool selection process and sourcing negotiations for new tools and applications. Analyse business process, data flows, IT / technical artefacts' and extract understanding of how the system or business process works as input into solutions. Weighs Risk, ROI, schedule & budget considerations to provide solution recommendations. Ensure projects are delivered in-line with Information Reference Architecture, roadmap and to the defined standards and best practices. Define and maintain references architectures. Lead the creation/socialization of IT strategies and roadmaps within the cloud domain based on business strategy, business and IT trends, and current and future architectures. Effectively communicate and influence others towards future state solutions and architectures. Maintain technology strategy, vision, architectural roadmaps, reference architectures and engineering implementations. Ensure enterprise standards are established and followed while providing consulting on initiatives across multiple projects. Explore new technologies and industry trends and partner with the business to experiment and drive innovation. Create and maintain training and educational materials and technical position papers for solution delivery teams. Support business case development. Lead vulnerability management activities working closely with the platform team to initiate remedial action where required, utilising "Secure by Design" Principles. Develop security requirements, epics and stories, along with guidance & governance to squads to ensure data protection and data security are included in the scope of new and existing data & digital products Work collaboratively with other team member to ensure proposed solutions provide the required level of security assurance in line with data processing requirements, as well as Thales and customer risk appetites. Embedding the latest security best practice within the development team enabling the principle of 'everyone being responsible for security'. Support the delivery of technical security measures, to ensure successful and timely system accreditations and re-accreditations. Be central point of contact for all UK Digital Competency Centre technical security matters and concerns, supporting the UK TrustNest team throughout the DevSecOps lifecycle and engaging with key security stakeholders inc. UK Head of Information Assurance. Responsibility for developing, implementing and conducting formal and regular technical risk assessments of Thales' DCC environment, recommending remedial action where required, utilising "Secure by Design" Principles. Assist with the deployment and implementation of security related initiatives Profile: You have the ability to facilitate engagement with peers. You are strong in team orientation - someone who can enable others, instil a unified and collaborative atmosphere for a diverse team. You are eager to share knowledge and help team members develop their security awareness. You are committed towards continuous improvement and learning new skills and capabilities. You are curious about the latest developments and tools in your area(s) of expertise, passionate about innovations. You are open-minded, experienced or ready to adopt to new ways of working (agile). You are experienced and interested in the challenges associated with supporting Cloud Hosting and delivering DevSecOps in an agile environment. Skills Essential: In depth and demonstrable experience in technical security support with a variety of systems and applications. Evidential experience as subject matter expert in the evaluation and implementation of technical security products for Infrastructure as Code, Azure cloud based Public or Private sector organisations. Able to provide analytical advice on the security implications of new and existing systems/applications and for all proposed changes to said systems/applications. Able to interpret detailed system design documentation and identify potential security risks and mitigations to implement secure and appropriate security solutions. Ensure that the activities embody a compliancy approach such that Security Architecture and Services manage risk, maximising business value with appropriate security. Able to effectively communicate, both verbally and written, highly technical aspects of your field of expertise, to management, clients and staff at all levels.Desirable: Quantifiable experience in fundamentals of all aspects of Security technical design. Experience in performing formal risk assessments and production of Risk Management and Accreditation Documentation (RMADS) in line with UK Government policy. In depth experience in security technical support with a variety of systems and applications. Formal stakeholder for the successful assessment and delivery of security related change control processes. Experience in application of Security Frameworks: E.G. Cyber Essentials Plus, ISO27000 series, NIST-800 (including SP800-37 and SP800-53) and associated assurance activities. Experience Essential: Demonstrable understanding of cloud/ Infrastructure as Code technologies; Demonstrable understanding of application of security principles within an agile delivery framework; Demonstrable Experience of Secure By Design and SecDevOps Principles; Proven experience in assessing and managing technical risk; and Ability to provide technical security advice to business areas when required and to provide technical security input to the security risk registers.Desirable: Understanding of current and emerging Security technologies. Demonstrable understanding of Azure Stack including Security products. Reviewing/updating security policies and procedures. Key Stakeholder Relationships UK Digital Competency Centre stakeholders Head of Information Assurance Development Teams IT Service Support Squads (End User Support, Applications, Infrastructure, Networks) Security Clearance Requirement: Due to the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires Security Clearance (SC). It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years' residence in the UK over the last 5 years may be accepted, with additional overseas checks.Please visit the UKSV website for further guidance: Benefits Performance-related bonus Car cash allowance Half day every Friday, usually finishing around 13: days annual leave (plus bank holidays) with opportunity to buy up to 40 hours/year (pro rata) 24 hours volunteering paid for Private healthcare Pension scheme Life cover 24/7 Employee Assistance Program and access to mental wellbeing app Employee discount shopping schemes on major brands and retailers Gym membership discounts

Location: Crawley, United Kingdomthe company is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. the company supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. Cyber Security & Digital Identity (CDI) From secure software to biometrics and encryption, CDI technologies and services enable businesses and governments to authenticate identities and protect data, so they stay safe and enable services in personal devices, connected objects, the cloud and in between. Description UK TrustNest is an underpinning capability forming part of the wider UK Digital Competency Centre playing a pivotal role in the company UK's digital transformation agenda. As a member of the leadership team, you will be transforming how the organisation develops, deploys and manages accredited software solutions to our Customers. Key Responsibilities Act as an industry expert in cloud, infrastructure, and network technologies Serve as a leader and subject matter expert to guide the platform team Design and architect next generation architectures across multiple domains including storage, compute, network, containerisation, and cloud native applications. Build solution architectures that align requirements, reference architectures design patterns and technology standards Lead collaboration with project teams, application, data, integration, infrastructure, and security enterprise architects to develop and deploy comprehensive solution architectures. Develop extensible architectures to enable future technology agility. Provide strategic support to staffing teams and key stakeholders with thought leadership, program design principles and implementation support. Research, analyse and recommend technical approaches for solving difficult and challenging architectural problems. Provide technical and governance direction to internal and external implementation teams. Participates in the vendor request for proposal (RFP), tool selection process and sourcing negotiations for new tools and applications. Analyse business process, data flows, IT / technical artefacts' and extract understanding of how the system or business process works as input into solutions. Weighs Risk, ROI, schedule & budget considerations to provide solution recommendations. Ensure projects are delivered in-line with Information Reference Architecture, roadmap and to the defined standards and best practices. Define and maintain references architectures. Lead the creation/socialization of IT strategies and roadmaps within the cloud domain based on business strategy, business and IT trends, and current and future architectures. Effectively communicate and influence others towards future state solutions and architectures. Maintain technology strategy, vision, architectural roadmaps, reference architectures and engineering implementations. Ensure enterprise standards are established and followed while providing consulting on initiatives across multiple projects. Explore new technologies and industry trends and partner with the business to experiment and drive innovation. Create and maintain training and educational materials and technical position papers for solution delivery teams. Support business case development. Lead vulnerability management activities working closely with the platform team to initiate remedial action where required, utilising "Secure by Design" Principles. Develop security requirements, epics and stories, along with guidance & governance to squads to ensure data protection and data security are included in the scope of new and existing data & digital products Work collaboratively with other team member to ensure proposed solutions provide the required level of security assurance in line with data processing requirements, as well as the company and customer risk appetites. Embedding the latest security best practice within the development team enabling the principle of 'everyone being responsible for security'. Support the delivery of technical security measures, to ensure successful and timely system accreditations and re-accreditations. Be central point of contact for all UK Digital Competency Centre technical security matters and concerns, supporting the UK TrustNest team throughout the DevSecOps lifecycle and engaging with key security stakeholders inc. UK Head of Information Assurance. Responsibility for developing, implementing and conducting formal and regular technical risk assessments of the company' DCC environment, recommending remedial action where required, utilising "Secure by Design" Principles. Assist with the deployment and implementation of security related initiatives Profile You have the ability to facilitate engagement with peers. You are strong in team orientation - someone who can enable others, instil a unified and collaborative atmosphere for a diverse team. You are eager to share knowledge and help team members develop their security awareness. You are committed towards continuous improvement and learning new skills and capabilities. You are curious about the latest developments and tools in your area(s) of expertise, passionate about innovations. You are open-minded, experienced or ready to adopt to new ways of working (agile). You are experienced and interested in the challenges associated with supporting Cloud Hosting and delivering DevSecOps in an agile environment. Skills Essential In depth and demonstrable experience in technical security support with a variety of systems and applications. Evidential experience as subject matter expert in the evaluation and implementation of technical security products for Infrastructure as Code, Azure cloud based Public or Private sector organisations. Able to provide analytical advice on the security implications of new and existing systems/applications and for all proposed changes to said systems/applications. Able to interpret detailed system design documentation and identify potential security risks and mitigations to implement secure and appropriate security solutions. Ensure that the activities embody a compliancy approach such that Security Architecture and Services manage risk, maximising business value with appropriate security. Able to effectively communicate, both verbally and written, highly technical aspects of your field of expertise, to management, clients and staff at all levels. Desirable Quantifiable experience in fundamentals of all aspects of Security technical design. Experience in performing formal risk assessments and production of Risk Management and Accreditation Documentation (RMADS) in line with UK Government policy. In depth experience in security technical support with a variety of systems and applications. Formal stakeholder for the successful assessment and delivery of security related change control processes. Experience in application of Security Frameworks: E.G. Cyber Essentials Plus, ISO27000 series, NIST-800 (including SP800-37 and SP800-53) and associated assurance activities. Experience Essential Demonstrable understanding of cloud/ Infrastructure as Code technologies; Demonstrable understanding of application of security principles within an agile delivery framework; Demonstrable Experience of Secure By Design and SecDevOps Principles; Proven experience in assessing and managing technical risk; and Ability to provide technical security advice to business areas when required and to provide technical security input to the security risk registers. Desirable Understanding of current and emerging Security technologies. Demonstrable understanding of Azure Stack including Security products. Reviewing/updating security policies and procedures. Key Stakeholder Relationships UK Digital Competency Centre stakeholders Head of Information Assurance Development Teams IT Service Support Squads (End User Support, Applications, Infrastructure, Networks) Security Clearance Requirement Due to the nature of the work that we do at the company, many of our roles are subject to security restrictions. This role requires Security Clearance (SC). It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years' residence in the UK over the last 5 years may be accepted, with additional overseas checks. Please visit the UKSV website for further guidance: Benefits Performance-related bonus Car cash allowance Half day every Friday, usually finishing around 13:00 28 days annual leave (plus bank holidays) with opportunity to buy up to 40 hours/year (pro rata) 24 hours volunteering paid for . click apply for full job details

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Experience Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments.Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an MLOps Engineer to build the operational backbone that lets models move safely and reliably from experimentation into production, at scale, across a central government department's multi-cloud, Legacy-integrated environment. Where the MLEngineer trains models and the AI Engineer builds features on top of them, you own the pipeline, infrastructure, and monitoring that keeps everything running in production. You'll work inside a collaborative "Rainbow Team" alongside civil servants, translating the Architect's platform decisions into reproducible, auditable infrastructure. Key Responsibilities ML/AI Pipeline Engineering - Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment. Production Reliability - Implement monitoring, logging, alerting, and automated rollback for AI services in production, tuned for the availability and sensitivity requirements of public-sector systems. Infrastructure-as-Code - Build reproducible, auditable infrastructure for AI workloads - compute, storage, networking - using IaC tooling appropriate to the department's multi-cloud environment. Model Governance in Operation - Implement model registries, versioning, and lineage tracking so every production model can be traced back to its training data, code, and evaluation results - directly supporting the programme's ATRS transparency obligations. Cost & Sustainability Optimisation - Right-size infrastructure and monitor resource usage to keep the platform's footprint down, in line with the programme's Green AI and Net Zero Commitments. Required Skills & Experience - Strong DevOps background extended into ML/AI-specific tooling (model registries, feature stores, experiment tracking) - Infrastructure-as-code and CI/CD pipeline design and build experience - Experience with observability and monitoring for production systems at scale - Understanding of containerisation and orchestration for ML workloads - Comfortable working across multi-cloud, Legacy-integrated environments - Secure-by-design engineering practices appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP infrastructure certifications - Experience building MLOps platforms within regulated or public-sector environments - Familiarity with model governance/traceability requirements such as ATRS - Prior delivery within UK central government or the wider public sector Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.