Cloud jobs in Sheffield - Page 3Crear alertas

AI, Data & Defence Engineering and Data Science Roles Engineer to Managing Consultant, Defence, & Critical Infrastructure Nationwide Clearance, SC required, DV preferred, some roles sole UK nationals We’re supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics across Defence, and critical government programmes. The work is production-grade, building systems that support real Defence capability. We’re hiring across Engineer, Senior Engineer, Consultant, Senior Consultant, and Managing Consultant levels. All roles remain hands-on, with leadership scope depending on experience. What you’ll do • Build and deploy secure data pipelines, platforms, and AI/ML solutions, • Productionise analytics and ML, including GenAI and agentic patterns where relevant, • Translate Defence requirements into robust technical designs with stakeholders, • Support MOD capability and acquisition work aligned to CADMID, • Implement secure architectures with cloud, platform, and security teams, • Apply DevOps and MLOps, CI/CD, monitoring, auditability, and governance, • Contribute to design reviews, estimates, documentation, and bid inputs What you’ll bring • Strong experience in data engineering, analytics engineering, or applied data science, • Cloud and data platform exposure, AWS, Azure, GCP, and/or Databricks, • Python, ideally PySpark, R helpful but not essential, • End-to-end pipelines, feature engineering, and production ML workflows, • Familiarity with LLMs, GenAI, or agent-based systems, • Defence or secure delivery experience, MOD, suppliers, consultancies, or regulated public sector, • Understanding of requirements artefacts such as URDs, SRDs, ITEAPs, RAMS, • Stakeholder skills, plus workstream or team leadership for senior levels Security clearance • SC required, • DV preferred and may be required for certain assignments

Note - role reposted after re-evaluation of grade level. About Colt Data Centre Services Colt Data Centre Services (DCS) has over 20 years’ experience in designing, building and operating energy-efficient, reliable data centres – hosting significant financial, media, corporate and cloud wholesale providers across the world. Our customers are at the heart of everything we do. We endeavour to take a customer-led approach across our operations, striving to serve our customers with a seamless experience no matter what facility or region they are in. Finding the right solutions for our customers starts with finding the right people for Colt DCS. We believe in creating a healthy, learning environment for our employees to flourish. Our vision: to be the most customer-centric data centre provider. About the Role Reporting to the Senior Problem Manager and working remotely, you will be responsible for identifying, analysing, and supporting the resolution of issues predominantly related to data centre Mechanical and Electrical (M&E) equipment / services. Your purpose will be to minimise business impact and prevent future incidents across all of our sites in Europe, India and Japan. In practice, this means you'll use your knowledge of M&E equipment / systems / services in working closely with cross-functional teams to investigate root causes, implement corrective actions, and drive continuous improvement in DCS service delivery. This may also include working with or presenting to DCS customers and/or suppliers. In summary, you'll be managing the lifecycle of infrastructure Problem tickets across our DCS estate. This will include proactive work to analyse historic issue data, using that to deliver comprehensive recommendations to help mitigate these arising in future where possible. About you As you'll be investigating, analysing and reporting on a range of infrastructure related issues, you'll need a proven track record in managing incidents and problems associated with critical mechanical and electrical systems (for example, power distribution, cooling, UPS). It is therefore likely that your experience will include working in environments such as data centres or other large scale infrastructure, and be supported by facilities related qualifications (ie Uptime Institute or electrical / HVAC certifications). Within this, you'll have the ability to understand how to get to the root cause of infrastructure related problems, alongside analysis capability serving to identify trends and make data-driven recommendations. All of this will be underpinned by your strong communication skills and the ability to help technical and non-technical audiences understand issues and how best to resolve them. What we offer We offer skill development, learning pathways and accreditation to help our people perform at their best, regardless of role and location. In addition to offering competitive salaries and incentive plans, a range of benefits and local rewards packages are offered to staff. Colt DCS recognises the importance of a work-life balance. These are just some of the reasons why Colt DCS is recognised as Great Place to Work Certified UK. The Role in More Detail Key Responsibilities • Risk Identification/Problem Identification and Analysis o Investigate and analyse incidents to determine root causes (RCA) and patterns. o Proactively identify recurring issues through trend analysis, with a specific focus on building monitoring systems (BMS) data analysis. o Risk assessment of non-standard Changes. • Resolution and Mitigation: o Ensure timely resolution and closure of problem tickets. o Identify permanent solutions for recurring incidents. o Ensure timely escalation of critical issues and coordinate resolution efforts across teams. • Documentation and Reporting: o Maintain comprehensive documentation of problems, their resolutions, and preventive measures. o Prepare detailed RCA reports and graphs to support the technical explanation of a Problem o Keep documentation for problem management accurate and current. • Continuous Improvement: o Prepare presentations on Problem management metrics, trends, and improvements. o Proactively identify opportunities to enhance service reliability and efficiency. o Participate in problem management initiatives and projects to drive continuous improvement. o Deliver internal technical training in areas of expertise. • Collaboration and Communication: o Collaborate with stakeholders to gather information and perform thorough problem diagnostics. o Join and document problem review meetings, providing regular updates. o Actively participate in Monthly Executive Reviews and other key meetings, lead the meeting if required. o Work with cross-functional teams to implement corrective actions and drive improvement. o Support and oversee the onboarding process for new sites, representing Service Operations, with particular focus on ensuring documentation is available and accurate and “snags” are captured. Requirements • Hands-on knowledge of Mechanical & Electrical (M&E) systems and Data Centre infrastructure., • Proven experience in problem management or incident management within a complex DC environment., • Experience with monitoring systems and ability to analyse monitoring data to detect and pin point issues., • Strong analytical skills with the ability to analyse data, identify trends, and make data-driven decisions., • Excellent documentation and reporting in English., • Knowledge of IT and Networking concepts., • Knowledge and experience with at least one of common RCA methods (5-Whys, Fishbone Diagram, Fault Tree Analysis, Pareto Analysis), • ITIL certification or knowledge of ITIL framework practices. Note that for this role, there will be a need to travel to site locations when required, in addition to a small number of trips to our offices annually for face-to-face team meetings.

Key Responsibilities • Administer, monitor, and optimize Microsoft SQL Server environments (2016/2019/2022), • Design, deploy, and manage SQL workloads on Microsoft Azure, • Manage and support virtualized environments using Hyper-V, • Implement and maintain backup and recovery solutions using Veeam, • Perform capacity planning, performance tuning, and query optimization, • Manage HA/DR solutions (Always On Availability Groups, Failover Clustering, Azure SQL MI), • Ensure security, compliance, and access controls, • Automate DBA and infrastructure tasks using PowerShell and T-SQL, • Collaborate with infrastructure, DevOps, and application teams, • Support on-prem to Azure migrations and hybrid cloud architectures ☁️ Required Skills & Experience • Strong hands-on experience as a Microsoft SQL Server DBA, • Solid infrastructure background, including:, • Windows Server administration, • Hyper-V virtualization, • Networking and storage concepts, • Proven experience with Azure Cloud, including:, • Azure SQL (IaaS & PaaS), • Azure Virtual Machines, • Azure Storage, Backup, and Monitoring, • Experience with Veeam Backup & Replication, • Expertise in performance tuning, indexing, and troubleshooting, • Strong scripting skills (PowerShell, T-SQL) ⭐ Nice to Have • Experience with Azure DevOps / CI-CD pipelines, • Infrastructure as Code (ARM, Bicep, Terraform), • SQL Server, Azure, or Veeam certifications, • Experience supporting hybrid environments

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Lead Engineer is responsible for the successful installation, configuration, and technical leadership of Syniti software solutions. This role requires a deep understanding of Syniti's data migration and data quality tools, as well as the ability to guide and mentor a technical team through complex data projects. The Technical Lead will work closely with project managers, business analysts, and client stakeholders to ensure that Syniti solutions are implemented effectively and efficiently. WHAT YOU WILL DO 1. Installation and Configuration: · Lead the installation and configuration of Syniti software solutions, ensuring alignment with project requirements and technical specifications. · Collaborate with IT teams to prepare the environment for Syniti solution deployment, including hardware and software prerequisites. 2. Technical Leadership: · Provide technical guidance and mentorship to the project team, ensuring best practices in data migration and data quality are followed. · Develop and maintain technical documentation, including architecture diagrams, configuration guides, and troubleshooting procedures. 3. Project Management Support: · Work closely with project managers to define project scope, timelines, and deliverables. · Assist in the development of project plans and schedules, ensuring technical tasks are accurately represented. 4. Stakeholder Engagement: · Engage with client stakeholders to understand their business requirements and translate them into technical solutions. · Conduct technical workshops and presentations to demonstrate Syniti solution capabilities and project progress. 5. Continuous Improvement: · Stay updated with the latest Syniti product releases and enhancements, incorporating new features into project solutions where applicable. · Identify opportunities for process improvements and implement changes to enhance project delivery and client satisfaction. WHAT IT TAKES · 5+ Years of experience in IT Services Delivery, with strong emphasis on server configuration, support, and troubleshooting. · Bachelor’s degree in Computer Science, Information Technology, or a related field. · Familiarity with data integration tools and techniques. · Advanced experience with SQL Server, SAP HANA, and/or Postgres database management. · Excellent problem-solving skills and the ability to troubleshoot complex technical issues. · Proven experience in leading technical teams and managing client relationships. · Strong English communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders. · Extensive experience with Syniti software solutions, particularly in installation and configuration. · Strong understanding of data migration methodologies and data quality principles. · Certification in Syniti solutions or related technologies. · This position may require travel to client sites for project implementation and support. · The role may involve working outside of standard business hours to meet project deadlines or address critical issues. Be fully aligned with our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

About Quantiphi: • Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed., • Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead., • Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We have been recognized with: • 17x Google Cloud Partner of the Year awards in the last 8 years, • 3x AWS AI/ML award wins, • 3x NVIDIA Partner of the Year titles, • 2x Snowflake Partner of the Year awards, • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms, • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators, • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023 Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Sr Machine Learning Engineer Experience Level: 5+ years Employment type: Full Time Location: Remote (UK) Job Summary We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success. Key Responsibilities: • Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data., • Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM., • Build robust data preprocessing pipelines and scalable workflows for model training and inference., • Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight., • Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection., • Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions., • Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows., • Document model development, deployment decisions, and agentic AI design choices., • Contribute to best practices in ML lifecycle management and agentic system governance., • Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline., • 5 years of progressive experience in data analysis, business intelligence, or data science roles. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

SOFTWARE ENGINEER LONDON / BRIGHTON / CARDIFF £75,000 THE COMPANY This innovative global digital marketing agency is at the forefront of transforming how brands engage with customers, employees, and partners. They empower industry with cutting-edge AI-driven solutions, proprietary tools, and bespoke analytics. As part of their UK team, you’ll work on high-impact project designing AI agents, streamlining digital workflows, and delivering data-powered insights that drive real business outcomes. THE ROLE As a Software Engineer, you will develop cutting-edge software solutions that power the agency’s proprietary platforms and client projects. Your work will focus on creating scalable, high-performance applications that enable brands to engage audiences more effectively. Specifically, you can expect to be involved in the following: • Technical tasks: Designing and implementing software using TypeScript, JavaScript, and Node.js, with a strong emphasis on GCP for cloud-based solutions., • Other key responsibilities: Collaborating with a dynamic team to build proof-of-concepts, AI agents, and digital tools that streamline workflows and enhance client outcomes. SKILLS AND EXPERIENCE The successful Software Engineer will have the following skills and experience: • 5+ years of software engineering experience, with a focus on TypeScript, JavaScript, and Node.js., • Proficiency in GCP and modern software development practices., • Experience with SQL, Python and data visualization is a plus., • Some experience in AI, • A background in agency, consultancy, or digital marketing environments is preferred., • A passion for solving complex problems and delivering innovative solutions. The successful Software Engineer will receive the following benefits: • £75,000 salary, with a comprehensive benefits package., • Flexible working policy: in 2 days per week, with offices in London, Brighton, or Cardiff., • The opportunity to work on high-impact projects for global brands, using the latest technologies., • A collaborative and creative environment where your contributions drive real business impact. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

About Pronetx Pronetx is a cutting-edge consulting firm that specializes in transformative customer experience (CX) solutions powered by AWS. With decades of experience deploying sophisticated CX solutions for industry leaders like Capital One, Social Security Administration, and Hilton, we're known for pushing the boundaries of what's possible in customer experience technology. Job Overview We are seeking a skilled Web Automation Engineer to design, develop, and maintain a robust web automation framework for API and functional testing. The ideal candidate will have hands-on experience in building scalable test frameworks using Playwright and Python, with a strong emphasis on reliability, maintainability, and rapid feedback for CI/CD pipelines. Key Responsibilities • Design, implement, and maintain a scalable web automation framework for API and UI/functional testing, • Develop test strategies, test plans, and automation suites using Playwright (Python) for web applications, • Create reusable, modular page objects and components to maximize test reuse, • Implement API testing strategies (REST/GraphQL) integrated with UI tests where appropriate, • Write clear, maintainable automated tests with robust assertions and meaningful reporting, • Integrate tests with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.), • Configure test data management, environment handling, and test environment provisioning, • Implement parallel test execution, flaky test handling, retry strategies, and test isolation, • Monitor test results, analyze failures, and provide timely root-cause analysis, • Collaborate with developers, QA, and product teams to ensure quality goals are met, • Document framework usage, coding standards, and onboarding guides, • Stay current with automation tooling trends and propose improvements Required Qualifications • 3+ years of hands-on experience in web automation testing, • Strong proficiency with Playwright (Python) for end-to-end web testing, • Demonstrated experience building automation frameworks from the ground up, • Proficient in Python, with good knowledge of software design patterns, • Experience with API testing (REST/GraphQL) and integrating API tests with UI tests, • Familiarity with test frameworks (pytest, unittest), • Solid understanding of CI/CD integration and test reporting, • Experience with version control (Git) and collaborative workflows, • Strong debugging, troubleshooting, and problem-solving skills, • Excellent written and verbal communication Nice-to-Have: • Xray Test Management for Jira for integrating test plans/results with Jira, • Behavior-Driven Development (BDD) experience and tooling (e.g., Gherkin, Cucumber, Behave) to express acceptance criteria and drive automated tests, • Knowledge of performance testing fundamentals, • Docker and containerized test environments, • Cloud-based test environments and device/browser farms, • Experience with test data management and data-driven testing, • Prior exposure to Agile/Scrum development processes, • Hands-on experience with Cyara / Hammer/ Botium for automated testing and of contact center and IVR/ Chatbot flows. Key Competencies • Automation design and architecture, • Test strategy and planning, • Code quality and maintainability, • Debugging and problem solving, • Collaboration and teamwork, • Continuous learning mindset Why Pronetx? Join a team of thought leaders who have shaped the evolution of cloud-based customer experience solutions. You’ll work on innovative projects implementing next-generation technologies while having the opportunity to influence the future of customer experience technology. Our collaborative culture encourages pushing boundaries while ensuring practical, scalable solutions for our clients Compensation & Benefits • Competitive salary commensurate with experience, • Health, dental, and vision insurance, • Professional development budget, • Fully remote work environment Equal Opportunity Employer: Pronetx is committed to creating an inclusive environment where all team members can thrive, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Why join? If you’re an engineer who wants true ownership, visibility, and the chance to shape how agentic systems transform profitability in an analogous sector, this is the role for you. You won’t be a small cog in a big machine(team of 7) — you’ll be helping to define the machine itself. • Build production-grade agentic AI systems that automate the workflows of elite law firms., • Work with a world-class founding team and colleagues with backgrounds from leading academic, startup, and financial institutions., • Join a startup that’s both cutting-edge and commercially proven — a rare chance to scale a product already trusted by leading global clients., • Benefit from equity ownership and remote-first working, with opportunity to join the team in London when suits you. If you want to build agentic solutions that can operate in ambiguity, be deployed in one of the most complex environments, and supercharge your skills with agentic frameworks, and use your commercial skills to develop their feature roadmap, this is for you/ About The Business Law firms are in the business of selling time and not outcomes — and AI is shrinking that ability. Our client is a London-based startup that builds the GenAI platform that will bring the legal sector into the AI age and future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: • Pricing agents that create data-driven, lawyer-friendly quotes., • Management tools that predict overruns and help avoid costly late bills., • Enrichment engines that clean and structure messy legal datasets for pricing. They are backed by some of the leading early stage investors in the UK/EU and exceptional angels with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you’ll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role — you’ll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: • Designing and building LLM-powered agentic systems that automate and augment law firm workflows., • Integrating external APIs and internal data pipelines into intelligent, maintainable systems., • Deploying AI-driven features at scale on AWS cloud infrastructure., • Driving the roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements • Strong programming experience with Python., • Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research)., • Practical experience with AWS (and ideally Terraform, GitLab CI)., • Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach out!

Football Data Engineer We’re helping a leading football club grow their data team. Working directly for the club you will work alongside data science and performance experts and take ownership of all football data pipelines. Turning complex football data into reliable, analysis-ready assets for the team powering decisions across the club. Mainly focussing on the First Team but also having exposure with Reserve, Academy and Youth Teams. Power the game with data. From numbers to goals, driving decisions to create winning results! Essential Skills (Across the pitch): • Python programming skills., • Experience designing, building and maintaining cloud based data pipelines (ETL) for structured and unstructured data from APIs (both internal and external)., • Familiarity with databases, data warehouses and cloud platforms (SQL, Snowflake, AWS)., • An understanding of data quality, testing, monitoring and documentation best practices., • Exposure with football data (either professionally or through personal projects)., • A genuine passion for football (soccer) and a curiosity-driven mindset for how data flows through the modern game. Day-to-Day Duties (In the stadium): • Build, maintain and optimise scalable data pipelines ingesting football data from multiple internal and external sources., • Clean, transform and structure raw football data into impactful, value driven insight., • Ensure data reliability, accuracy and availability across performance, recruitment and analytics teams., • Work closely with data scientists, analysts and football stakeholders to support insight generation., • Contribute to internal platform improvements, tooling and architectural decisions., • Support research and innovation projects by enabling access to new datasets, metrics and data products. Benefits (Beyond the game): • An impact from day one., • Direct involvement with football and the chance to apply data engineering to the real-world football calendar., • Creative freedom to experiment and innovate., • Supportive, collaborative culture that encourages learning and growth., • A vibrant team culture with a shared passion for the sport., • Access to the latest tools and technologies., • Competitive salary, plus an endless list of benefits.

Machine Learning Engineer Location - Remote (UK) Salary - £80,000 I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP). What You’ll Be Doing • Lead the development and deployment of machine learning models used in a live SaaS product, • Own models end-to-end from experimentation through production deployment, monitoring, and iteration, • Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows, • Improve the scalability, reliability, and performance of existing ML systems, • Review code and architecture, setting a high engineering standard, • Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What They’re Looking For • Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment, • Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries, • Experience deploying and maintaining ML models in production, • Solid software engineering fundamentals (algorithms, data structures, clean code), • Comfortable working with Docker and containerised systems, • Experience collaborating cross-functionally and owning delivery, not just models, • A mindset focused on impact, curiosity, and continuous improvement

We are looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components that integrate directly with a real-time execution engine – improving decision-making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You’ll Do • Lead the design and production integration of ML components into a live, Python-based trading system, • Take early ML research/prototypes and turn them into reliable production models and services, • Build robust training and evaluation pipelines with safeguards against leakage, non-stationarity, and drift, • Develop real-time inference components with clear fail-safes, fallbacks, and graceful degradation, • Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans), • Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals, • Collaborate directly with the Head Trader to translate strategy goals into ML objectives and measurable outcomes, • Partner closely with software engineers on integration, deployment, performance, and operational reliability, • Troubleshoot and resolve production issues quickly during key market hours when needed Essential Skills • Strong Python developer (min. 5+ years professional Python experience), • Demonstrable experience taking ML models from prototype to production (deployment, monitoring, and ongoing operation), • Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift, • Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference, • Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response, • Comfortable owning and improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests, • Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail, • Comfortable working independently, making architectural decisions, and maintaining high code quality, • UK-based and available for support during core market hours when needed Desirable Skills • Experience with real-time/low-latency systems (streaming data, telemetry, market data, etc.), • Familiarity with production ML monitoring/observability practices and tooling, • Experience with cloud deployment environments (VMs/containers, monitoring, CI/CD), • Background in financial markets, algorithmic trading, or market microstructure (helpful, not required), • Experience with distributed systems, message queues, or event-driven architectures What We Offer • Competitive salary – negotiable based on experience, • Mostly remote, with some in-office collaboration days for coordination and planning, • Yearly bonus based on company performance, • The chance to take significant ownership of production Machine Learning in a live system, • Long-term role with the opportunity to influence the Machine Learning roadmap and system design, • A lean environment with minimal bureaucracy and direct impact

Cloud Recruitment are currently recruiting for an experienced Plant Fitter to join a well-established plant hire company based in Surrey. This is an excellent opportunity for a skilled Plant Fitter with experience in the plant hire sector to secure a stable, long-term role with strong earning po. Pl

Cyber Security Officer - Broad St W, Sheffield City Centre, Sheffield S1 2BQ, Company Description Sopra Banking Software works with more than 1,500 banks, building societies and specialized finance providers across more than 80 countries worldwide. We help them to develop, deliver and operationalise their digital transformation strategies. Using our suite of digital banking products and services enables these organisations to deliver remarkable financial services to their clients. Job Description Our Managed Services function is expanding and looking for candidates who are passionate about information & cyber security. We are seeking a Cloud Cyber Security Officer to help work across teams to provide oversight and implement security practices consistently, and work as part of a team to monitor our stack. This role will report to the Security, Risk and Compliance Lead. ? Sheffield/ London– hybrid, 2 office days per week. ? Salary: £75,000-£80,000 (DOE) per annum plus pension, & excellent benefits package ? Job type: Permanent, full-time The role requires an individual to: • Proactively monitor for, identify, respond to, and resolve security incidents, • To conduct internal technical and compliance audits to ensure that processes are being followed and that controls are effective., • Work with the Team leader to continuously improve the security posture of the business., • Work with Projects & Stakeholders across the business to advocate & implement security practices Key Responsibilities: • Respond to and investigate potential security incident alerts contributing to new security monitoring use cases, and ensure all investigative activity is properly documented in ticketing systems and followed up with the relevant support teams., • Work with the Security Policy & Audit Manager to take ownership of internal auditing within the department to ensure compliance with ISO27001 and Sopra Banking Software security policies and procedures., • Identify vulnerabilities and security risks of networks, operating systems, applications, databases and new technology initiatives., • Validate vulnerability findings and provide guidance during remediation efforts., • Identify and document security risks identified during project initiatives and BAU activities., • Perform research on latest security/cyber threats, which can drive improvements in active projects and into existing tools and processes., • Provide IT security operational support to managed services teams., • Review and improve current operational procedures, write and maintain new supporting procedures and policies and perform regular audits of these., • Liaise with customers and external auditors to assure them of SBSUK’s security controls., • Review changes brought to CAB to ensure that they do not introduce security weaknesses., • Generate security reports for customers., • Experienced working in and securing cloud environments (AWS preferred)., • Experience as a Cyber Security Officer or similar role within a large organisation., • Working knowledge of common vulnerability assessment tools and techniques used for evaluating operating systems, networking devices, databases and web applications., • Good working knowledge of networking technologies, principles and concepts., • Good working knowledge of various technologies and operating systems and hardening configurations, i.e. Windows Server, Linux, Solaris, etc., • Good knowledge of cloud security best practices, security solutions, and methodologies for conducting security assessments., • Comptia Security + - or equivalent professional certification, • ISC2 CISSP certification, • AWS/Cloud certified, • Any of the following:, • Experience with Rapid 7 InsightVM and InsightIDR, • Experience Securing Enterprise Databases All of our positions are open to people with disabilities.

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Commercial Gas Engineer - Hampshire.Salary: up to £50k+ Company Vehicle + Overtime + Callout.Location: Hampshire + Surrounding Counties.Benefits: 25 days holiday + bank holidays, company vehicle, overtime and callout available.Are you an experienced Commercial Gas Engineer looking for a new challen

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NET Extensive hands-on experience using Cloud Technologies (AWS ideally but Azure too) 10 years’ experience ideally If you have the required skills for this Cloud Software Tech Lead position, please get in touch ASAP with an up-to-date copy of your CV. We’re looking for a Cloud Sof

Working in Tech, Product or Data at Sky is about building the next and the new.From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still.We turn big ideas into the products, content and services millions of people love.And we do it all right here at Sky.As the DevOps