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Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Engineering Manager - Up to £100,000 Location: UK-wide The Opportunity We're working with a leading data consultancy who specialise in delivering modern, cloud-based data platforms across a broad range of industries. They partner closely with clients to design and deliver scalable, high-quality data solutions using cutting-edge Microsoft technologies. This is an ideal role for a seasoned consultant who enjoys a blend of strategy, leadership, and hands-on engineering. The Role As a Data Engineering Manager, you will play a key role in both delivery and business growth: • Lead end-to-end delivery of complex data engineering solutions, • Design and implement modern data platforms, pipelines, data lakes, and warehouses, • Drive pre-sales activities, including solution design, estimations and proposals, • Act as a technical SME across Microsoft data technologies, • Mentor and develop high-performing engineering teams, • Work closely with senior stakeholders to translate business requirements into scalable solutions, • Lead workshops, client presentations and technical demonstrations, • Ensure best practices across governance, security and data engineering standards What We're Looking For Essential experience: • Strong background in data engineering within a consulting or client-facing environment, • Proven experience leading teams and delivering complex programmes, • Hands-on expertise with Spark, SQL and cloud data platforms, • Experience designing and building data pipelines, warehouses and lakes, • Strong understanding of ETL, data modelling and cloud architectures, • Excellent stakeholder management and communication skills What's on Offer • Exposure to high-impact, enterprise-scale data programmes, • Strong emphasis on career development and continuous learning, • Opportunity to shape strategy and influence technical direction, • Collaborative, high-performance culture with a focus on innovation, • Competitive salary and benefits package

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: • Leading the ML Engineering capability and contributing to the wider data and AI strategy., • Designing, building, and productionising ML pipelines aligned to business goals., • Delivering NLP and LLM-driven solutions, including fine-tuning and deployment., • Implementing strong MLOps practices across model training, deployment, and monitoring., • Working closely with Data Scientists to support, maintain, and improve models in production., • Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: • Commercial experience delivering ML solutions end-to-end., • Strong Python and SQL skills, with experience building data and ML pipelines., • Hands-on experience with Databricks and Azure., • Practical experience with NLP and LLMs, including fine-tuning and applied use cases., • Solid understanding of MLOps, CI/CD for ML, and production model monitoring., • Exeperience with stakeholders and translating business problems into technical solutions., • Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: • Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Delphi Developer - All Levels Considered - New Are you a Developer with some experience of Delphi, wanting to further your career and take on an important set of responsibilities for a team working within a thriving environment? This company has over four decades of history, with a large and growing client portfolio. Your duties will include working within an established team developing solutions for a variety of global clients. You will enjoy translating user and business needs into functional code and will have some expsosure to both Delphi and SQL, coupled with a knowldge of Scrum/Agile development methodologies. Please forward your CV for full job description and an informal chat.

Software Support Analyst - Sheffield - Hybrid - £30k My client is after a Software Support Analyst; you’ll be the first line of defence when users need support with their intelligent automation solutions. My client is offering a competitive salary and wonderful progression opportunities, a real chance to build within the business, working with the newest technology. What you’ll need. • A genuine passion for technology and how it can improve people’s lives., • Excellent communication skills - confident, clear, and approachable., • A problem-solving mindset with the patience to work through challenges. What You’ll Do. • Support users of our solutions - both clients and internal teams., • Handle the configuration and setup of software products., • Manage your workload proactively and contribute to our knowledge base., • Escalate complex issues appropriately and collaborate on resolutions., • Build strong relationships through clear, empathetic communication., • Spot opportunities for improvement or potential sales leads. Desirable. • Familiarity with scripting (SQL, Visual Basic, JavaScript) Exposure to platforms such as: • Document Management (Therefore)., • Intelligent Capture (IRISXtract, ABBYY, FlexiCapture)., • Output Management (Uniflow, Papercut, Spindle)., • Business Intelligence (QlikView, QlikSense)., • Robotic Process Automation (Electroneek, UI-Path).

Application Support Analyst Sheffield + Hybrid working (3 office, 2 home) Up to £45,000 Your new role The Applications Support Analyst will play a key role in supporting and enhancing business-critical systems across the group, including Microsoft Dynamics 365 Business Central, Microsoft 365, and Power Platform technologies. The role supports the effective operation of IT applications, ensures timely resolution of issues, and contributes to the continuous improvement of systems and processes. Responsibilities Deliver frontline support for Microsoft Dynamics 365 Business Central and Microsoft 365 tools (Teams, SharePoint, Outlook, OneDrive) Investigate, troubleshoot and resolve incidents and service requests in a timely and professional manner Escalate complex or unresolved issues to third-party vendors or senior IT colleagues Maintain and update support documentation and resolution logs Ensure business continuity through prompt issue management Provide user support across the organisation in line with SLAs Support the design and enhancement of PowerApps solutions to meet business needs Assist in maintaining and developing Power BI dashboards to provide actionable insights Collaborate with internal teams to identify automation opportunities using Power Platform tools Work with business users to scope and test new app or report features Contribute to the integration of data sources and systems within the Microsoft ecosystem Help train users on PowerApps and Power BI usage and functionality Assist with configuration, testing, and deployment of system changes or new features Participate in small-scale IT projects and system rollouts Collaborate with business units to identify process improvement opportunities Experience needed Experience supporting Dynamics 365 Business Central in a BAU setting Solid knowledge of Microsoft 365 tools (Teams, SharePoint, Outlook, OneDrive) Familiarity with PowerApps and Power BI Understanding of business processes in finance, operations, or supply chain Strong problem-solving ability and customer service mindset Clear and confident communication skills Desirable Skills Knowledge of Dynamics 365 Field Service or CE modules Experience with Power Automate Service Management or ITIL experience Basic SQL or data querying knowledge Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Software Developer – Microsoft .NET, Umbraco & Power Platform Sheffield | Hybrid Working | £35,000 - £38,000 Anna Maher Recruitment is partnering with a successful Sheffield-based technology business seeking a Software Developer to join their collaborative internal team. This opportunity would suit a developer with strong .NET experience who enjoys working across a varied Microsoft technology environment including Power Platform, APIs, integrations and CMS-driven websites. Key Responsibilities: • Supporting and enhancing .NET applications and internal systems, • Working with Umbraco websites and portals, • Developing APIs and integrations, • Enhancing Power Platform solutions including Power Apps, Power Automate and Dataverse, • Supporting Power BI reporting and dashboards, • Investigating and resolving technical issues, • Supporting CRM-related functionality and integrations Required Skills: • .NET / .NET Core development experience, • Power Platform experience or strong interest, • SQL Server / T-SQL, • API development, • Umbraco CMS or similar platforms, • Git version control The successful candidate will be a strong problem solver, adaptable and comfortable working across multiple technologies in a collaborative environment. Hybrid working is offered with 3 days per week office based in Sheffield, therefore applicants should live within a commutable distance. For further information, please contact Anna Maher Recruitment.

Production Controller Location: South Yorkshire / Sheffield area Salary: £28,000 - £30,800 DOE An established manufacturing business is seeking an experienced Production Controller to join its Operations team. This is a pivotal role focused on production performance, schedule adherence, and data-driven decision-making within a fast-paced manufacturing environment. The successful candidate will play a key role in ensuring production plans are achieved, operational risks are identified early, and accurate reporting supports effective operational control. Key Responsibilities • Monitor and control production performance using ERP/MES systems, • Produce daily production reports and dashboards (adherence to plan, productivity, delays), • Support daily production and operational review meetings with accurate and timely data, • Identify and escalate production risks, including material shortages, bottlenecks, and capacity constraints, • Coordinate and update daily and weekly production schedules in response to real-time conditions, • Escalate issues to management with clear impact analysis and recommendations, • Work closely with Production, Stores, Procurement, Quality, Maintenance, and Finance teams, • Control and manage Work in Progress (WIP) levels, • Act as the Operations ERP “Super User”, ensuring data integrity and governance, • Analyse performance trends and support continuous improvement initiatives to optimise flow and reduce waste Skills, Experience & Knowledge • Experience using ERP/MES systems in a manufacturing or production environment, • Previous experience in production control, planning, or scheduling, • Strong data analysis skills with experience building reports and dashboards, • Advanced Excel skills and working knowledge of Power BI and/or SQL, • Understanding of Bills of Materials (BOMs) and routings, • Strong analytical, organisational, and problem-solving skills, • Excellent communication skills with the ability to collaborate cross-functionally, • Proactive, self-motivated, and able to work independently, • Experience within aerospace or a similarly regulated manufacturing environment, • Highly organised and detail-focused, • Reliable, conscientious, and consistent in delivery, • Confident communicator with a collaborative approach, • Flexible and adaptable with a positive, can-do attitude, • Strong work ethic and commitment to continuous improvement What’s on Offer • A key operational role within a well-established manufacturing business, • Opportunity to influence production performance and operational improvements, • Exposure to cross-functional teams within a dynamic environment, • Competitive salary and benefits package, • Westfield Health and Rewards, • Pension (employee 3% and employer 6%), • 35 days annual holiday, • On site parking, • Company sick pay, • Appointment allowance

The Company At LabLogic Systems Ltd, we're pioneers in the Life Science, PET/Nuclear Medicine, and Radiation Safety sectors. We're committed to excellence, delivering high-quality products and service while fostering a positive work culture grounded in our core values: Passionate and driven, Everyone is accountable, Respectful and inclusive, Family atmosphere, Efficient, Customer-focused, and Trustworthy. Recently, the LabLogic Group was honoured with the prestigious King’s Award for Enterprise in International Trade and achieved the Investors In People Gold accreditation, affirming our commitment to creating an exceptional workplace. Join us in a collaborative, supportive team, where benefits like our annual Center Parcs trip promote positive working relationships. LabLogic Systems Ltd is not just a workplace; it's a rewarding journey in a globally acclaimed organisation. The Role We are seeking a Support Specialist to join our growing technical team. This is a customer-facing, hands-on role supporting the installation, configuration, validation and everyday use of LabLogic’s chromatography (Laura) and LIMS (PETra / SPECTra) platforms. As part of this role, you will work closely with pharmaceutical, PET radiopharmacy and research customers operating in highly regulated environments. We’re looking for someone who is passionate about their work, takes ownership and shows initiative. The ideal candidate consistently follows through on tasks, is proactive and resilient when facing challenges, and is motivated to continuously improve both themselves and the systems around them. This role is a full time, office-based position. The successful candidate must be in commutable distance to either our Bath Spa office (12 Charlotte St, Bath, BA1 2NE) or our Sheffield office (Innovation House, 6 Europa View, Sheffield, S9 1XH). This role will involve regular UK travel and occasional European and worldwide travel to customer sites. This position would be ideal for those with a technical application support background with experience supporting laboratory systems, or a laboratory scientist (with a HPLC/GC/chemistry background) who has a strong IT aptitude and an interest in software systems and instrumentation integration. Responsibilities • Provide helpdesk-based support via ticketing system, email and phone., • Deliver remote troubleshooting for software and instrument integration issues., • Install and configure LabLogic software and supporting systems (MS SQL Server, Windows Server etc.)., • Support integration with analytical instrumentation., • Assist with instrument communication troubleshooting (RS232, USB, Ethernet, COM ports, driver configuration)., • Provide onsite installation support and customer training., • Assist with database configuration, upgrades and system migrations., • Develop and maintain technical documentation, help guides and FAQs., • Support validation activities (IQ/OQ/PQ) within highly regulated environments. The above list is not exhaustive and, as such, you may be required to undertake other duties as appropriate. Requirements Essential • Strong troubleshooting and analytical skills., • Ability to work well as part of a team and within an ISO 9001 Quality environment., • Experience with Hardware and Software support., • Ability to manage own workload and prioritise calls., • Good communication skills (written, phone and in person)., • Excellent IT skills (MSSQL/Oracle/Windows Server/Windows Desktop). Desirable • Experience within a laboratory environment and/or software development environment., • Experience integrating instruments via serial/USB/Ethernet connections., • Knowledge of Oracle databases., • Understanding of GMP, GAMP or regulated software validation., • Experience delivering customer training., • Full UK driving licence. What we offer • Career development and professional growth opportunities., • Competitive salary., • You will receive all bank holidays plus 24 days holiday per year (increasing over service) + additional day off over Christmas., • UK team building weekend at Center Parcs for employees and their families to attend., • Private medical insurance with BUPA., • Scottish Widows pension scheme., • Death in service policy., • Cycle to work scheme., • Access to gym facilities.

.NET Developer, .NET 10.0, C# 14 - Digital Download Site – Sheffield (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) With operations in over 20 countries our client has fast become a major player within the digital download arena. In addition to an award winning website they have launched mobile apps for the iPhone and Android market, the latter of which has been featured on Google Play. They have created a real buzz in the industry have been written up in TechCrunch, The New York Times, The Guardian and many more. They are going through a period of explosive growth and need your help! We are seeking gifted .NET Developer to join their close-knit and extremely talented technical team. We are looking for .NET Developer who are ambitious about building a quality service which brings delight to their users. .NET Developer should be experienced in: .NET, .NET Core, C# and Azure SQL. You will be trained in all aspects of: .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Azure, Bootstrap, Agile and Azure Cosmos DB. Top performers can expect to receive their first promotion (and pay rise) within 6 months. Our client offers a unique working environment including a free onsite restaurant, relaxation pods, games room, background music while you work and flexible working hours. Location: Sheffield, Yorkshire, UK / Remote Working Salary: £45,000 - £65,000 + £10k Sign-On Fee + Bonus Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC NC/NET/SHEET

Role: IntelliMatch developer 100% remote Local working hours Locations: Austria, Costa Rica, India, Italy, Lithuania, Spain, UK, or US Role Overview The IntelliMatch developer will support project delivery by contributing to requirements analysis, solution design, system setup, and development activities within IntelliMatch (DIM). The role includes creating custom store procedures and implementing code changes to meet project requirements, as well as supporting testing and go-live activities. The candidate will also contribute to backlog refinement and delivery planning in collaboration with project managers and product owners. Key Responsibilities • Analyze project requirements and existing IntelliMatch reconciliations to support solution design aligned with current processes, • Configure and develop IntelliMatch components, including reconciliations and related enhancements, • Develop and maintain MSSQL stored procedures and support required code changes, • Follow best practices and technical standards for software development and system implementation, • Provide input and recommendations on technical solutions and tools in line with existing architecture and standards, • Ensure all deliverables meet quality standards and project specifications, • Develop and maintain technical documentation, including design specifications, technical guidelines, and BAU support instructions Qualifications (Must) • Bachelor’s degree in information technology or software engineering, • 6+ years of hands-on experience in IntelliMatch (DIM) development, configuration, or consulting, • Proficiency with IntelliMatch (DIM) and MS SQL, • Strong organizational, time management, and multitasking skills, • Ability to work independently while collaborating effectively within a team, • Proactive, delivery-focused mindset, • Strong communication and interpersonal skills

Job Title: Junior Python Developer Location: UK Experience: 2–4 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. We are looking for a motivated Junior Python Developer to join our development team. The candidate will be responsible for writing clean and efficient Python code, developing backend applications, debugging issues, and collaborating with cross-functional teams to deliver scalable software solutions. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills., • Write, test, and maintain Python applications, • Develop REST APIs and backend services, • Debug and troubleshoot application issues, • Work with databases and third-party APIs, • Collaborate with developers, designers, and QA teams Requirements : • Basic knowledge of Python programming, • Familiarity with SQL and databases, • Understanding of OOP concepts, • Knowledge of Git/GitHub, • Good problem-solving and communication skills Qualifications : • Bachelor’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

We are working with a leading broadcast and media technology company who are currently recruiting for a Senior Project and Support Engineer to join their team. This role offers a blend of project delivery and technical support, ideal for an engineer who enjoys working on complex systems, engaging directly with customers, and travelling internationally to commission solutions on-site. The Role You will work across both project and support functions (with a focus on projects), taking ownership of delivering and commissioning software installations while also supporting live customer environments. You will collaborate closely with internal teams including Project Management, Development, and Sales. Key Responsibilities • Deliver and commission software solutions for customer projects globally, • Install, configure, test and integrate systems in line with project plans, • Support existing customer systems, diagnosing issues and implementing fixes, • Investigate faults, capture logs, replicate issues and raise detailed tickets for development teams, • Work closely with engineering and development teams to test and validate fixes prior to release, • Provide customer training and technical guidance, • Document system configurations and support handover processes, • Contribute to continuous improvement in delivery and support processes, • Mentor junior team members and support more complex project work Requirements • Experience within broadcast, media, playout, or similar technical environments, • Strong technical and analytical mindset with the ability to troubleshoot complex systems, • Experience delivering projects and/or commissioning systems on-site, • Customer-facing experience with strong communication skills, • Knowledge of IT infrastructure including Windows Server, networking, and system performance tools is advantageous, • Familiarity with technologies such as SQL, XML, TCP/IP, and monitoring tools is beneficial, • Exposure to broadcast standards, media workflows, or automation systems is desirable, • Ability to work independently and as part of a wider global team, • Willingness to travel internationally on a regular basis The Opportunity • Fully remote working model, • Regular international travel and exposure to global projects, • Work with cutting-edge broadcast and media technology, • Opportunity to contribute to both project delivery and ongoing support, • Collaborative and supportive working environment with opportunities to grow If you are an experienced engineer looking for a role that combines technical depth, customer interaction, and international project work, we would love to hear from you.

The Opportunity This is an opportunity to join IRIS Software Group as we transform into an AI-first company delivering cloud-native solutions that impact millions of lives globally. IRIS produces an integrated suite of mission-critical software applications spanning accountancy, HR, payroll, education, and business operations. You will be working as part of an Agile team to deliver innovative solutions to user stories and requirements, contributing to our modernisation journey that serves over 100,000 customers across 135 countries. The role is challenging and dynamic, with key deadlines to be met as we accelerate our cloud transformation and implement next-generation technologies. You’ll need to embrace continuous learning and bring a focused attitude to tasks that directly enable businesses, schools, and organisations to work smarter and more efficiently. You will be involved in a variety of cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed to creating exceptional solutions that make a real difference in how our customers operate and succeed. Role Purpose The Engineering Lead is a hybrid leadership role that combines technical leadership, agile delivery ownership, and people management. You will lead an autonomous engineering team building modern full-stack web applications using the latest UI frameworks, .NET Core backends, and cloud-native technologies, ensuring both delivery excellence and team development while remaining technically hands-on with containerised, scalable solutions. Key Responsibilities Delivery Management (25%) • Ensure projects are scoped, prioritised, and delivered on time with clear alignment to business goals and quarterly OKRs, • Drive predictability, velocity, and quality through effective agile practices and continuous improvement, • Communicate proactively with stakeholders (product, design, leadership, customers) on delivery progress, risks, and dependencies, • Facilitate alignment between technical capabilities and business objectives through clear, strategic communication, • Own team’s Agile maturity, establish team delivery standards, and optimise team practices for maximum effectiveness and predictability, • Balance workload, staffing, and hiring needs to maintain sustainable delivery while planning for growth, • Manage up and across the organisation to secure resources, remove impediments, and represent the team strategically Technical Leadership & Contribution (50%) • Provide strategic technical leadership through architectural guidance and critical technical decisions, with selective hands-on contributions, • Define technical decisions and maintain system health through architectural oversight and technical debt management, • Establish and drive comprehensive quality culture including TDD/BDD practices, testing standards, automated quality gates, and team code review excellence, • Define team security standards ensure team compliance governance, and drive security-first culture within the engineering team, • Stay technically current through code reviews, architectural discussions, strategic technical involvement and ensure alignment with broader organisational technical strategy, • Delegate technical execution to senior team members while maintaining oversight and accountability, • Define AI strategy and ensure responsible AI culture across teams, • Empower team decision-making within established frameworks and escalation criteria, • Define team documentation strategy establish governance frameworks for the team, and ensure knowledge management within the engineering team People Management (25%) • Line manage engineers including coaching, performance reviews, career planning, and regular 1:1s, • Create inclusive, collaborative environment that enables team success by removing blockers and providing resources, • Develop team members through structured career development, skill building, and succession planning, • Handle performance management including improvement plans, conflict resolution, and team dynamics Required Experience & Skills Technical Skills • Frontend Strategy: Strategic understanding of modern UI frameworks (e.g. Angular, React, Vue.js, Blazor), • Backend Leadership: Strong understanding of .NET Core, C#, ASP.NET Core Web APIs, REST, application architectures, and distributed systems, • Data Architecture: Strategic knowledge of SQL, NoSQL and data architecture decisions, • Agentic AI Engineering: Demonstrated experience using AI coding agents (Cursor, Copilot, Devin, Claude Code, etc.) as a primary development workflow — not as a productivity add-on. Able to define team guardrails, review AI-generated output critically, and lead a team culture where agentic development is the default mode of working., • Prompt engineering and AI workflow design: Experience designing effective AI interactions through prompt engineering, context management, and MCP integration — with the ability to coach team members on getting high-quality, production-safe output from AI agents., • CI/CD Strategy: Define team CI/CD strategy, establish team governance frameworks, and ensure adoption of deployment best practices across the team, • Infrastructure as Code: Infrastructure as Code with Terraform, ARM Templates or AWS CloudFormation/CDK, • Observability Strategy: DataDog, Application Insights or Amazon CloudWatch implementation with comprehensive observability strategy and cloud governance, • Cloud Strategy: Strategic SAAS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) ecosystems, • Container Orchestration: Advanced Container (e.g. Docker) and Kubernetes (AKS/EKS) with production-scale deployments, • Architecture Governance: Expertise in clean architecture, domain-driven design, and application architectural patterns, • Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels, • Quality & Testing Leadership: Define team testing strategy, establish quality governance for the team, and measure team adoption with continuous improvement initiatives, • Application Security: Confident vulnerability management, thread modelling and tracking, • Production Support: Knowledge of observability and production support practices Experience Requirements • 8+ years in software engineering, minimum 1 year of formal people management experience OR 2+ years of technical leadership with mentoring responsibilities, • Demonstrable experience delivering complex software projects using Agile methodologies, • Proven recent technical skills with strategic contributions to production systems, • Code review leadership with experience establishing review standards and culture, • Demonstrated ability to balance technical excellence with business delivery requirements Leadership & Soft Skills • Excellent communication, collaboration, and stakeholder management skills, • Effective prioritisation and negotiation abilities, • Strong analytical and strategic thinking capabilities, • Ability to balance technical excellence with business delivery requirements, • Fostering collaboration, promoting team building and culture development skills Desirable Skills • Experience working with regulated or complex domains (finance, health, govtech) with audit requirements, • Experience line managing engineers including 1:1s, performance reviews, and career development, • Experience with platform engineering or shared service teams building reusable UI components and backend services, • Expertise with advanced monitoring and APM strategies using DataDog, including custom dashboards and alerting, • Advanced understanding of modern UI architecture patterns (micro-frontends, SSR/SSG), • Experience as Engineering Lead, Tech Lead, or similar leadership role with full-stack teams, • Exposure to DevOps processes and automation ensuring end-to-end responsibility of features, • Advanced cloud certifications in Azure or AWS Success Measures • Delivery Excellence: Sprint goals achieved, predictable releases, strong velocity, and minimal carry-over, • Technical Leadership: High team code quality, effective architecture decisions, reduced technical debt, improved scalability, and proactive tooling adoption, • Strategic Leadership: Selective technical contributions to critical decisions with effective delegation, • AI adoption: Team is operating with agentic AI tooling embedded in daily workflow, with measurable impact on delivery velocity and code quality, • Quality Excellence: Team adoption of automated TDD/BDD and code review practices with effective quality gates and measurable quality improvements, • People Development: Autonomous team with strong ownership, positive engagement scores, clear development objectives, low attrition, and active succession planning, • Cross-Functional Impact: Strong collaboration with Product, Design, and Platform teams, supported by positive stakeholder feedback, • Business Alignment: Quarterly OKRs/KPIs achieved or exceeded with clear business impact Benefits & Why Join IRIS Compensation & Benefits: • Competitive salary with leadership premium, • Generous holiday allowance, • Private medical healthcare, • Life assurance - Pension (location dependent) Professional Development: • Executive leadership development programs, • Conference speaking and industry thought leadership opportunities, • Advanced technical and management training, • Mentorship from senior engineering leadership, • Opportunity to shape engineering culture and practices Culture & Environment: • Great Place to Work certified with leadership recognition, • Best Workplaces for Women with inclusive leadership focus, • Autonomous team leadership with strategic impact, • Flexible working arrangements and excellent work-life balance, • Opportunity to build and lead high-performing engineering teams, • Additional benefits: Cycle to Work, charity days, discount schemes

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Basic Qualifications (BQs): • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Other Qualifications (OQs): • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Power BI Reporting Analyst UK Wide Must have experience on major engineering projects £50,000–£70,000 Not all Power BI roles are the same. This one is for people who have worked on Project Controls teams or worked on major programmes. We want experience on LIVE civil engineering projects, If you are in banking, finance or IT this is NOT for you. We have 5 roles available UK-wide. Priority locations are Bristol and London THE ROLE • Build and own Power BI reporting solutions across major capital programmes, • Model and connect data from scheduling, cost and risk tools into coherent, reliable dashboards, • Work directly with project controls, PMO and client teams to understand and deliver what they need, • Drive automation and reduce manual reporting effort, • Support programme-level governance and reporting standards WHAT YOU'LL NEED • Solid Power BI capability — DAX, data modelling, Power Query, multi-source integration, • Background in project controls, PMO, or major programme delivery — essential, not optional, • Strong communication skills — able to work across technical and non-technical stakeholders, • Self-sufficient with strong attention to detail NICE TO HAVE • P6 Primavera, ASTA, CostOS or similar tools in your toolkit, • SQL or Power Automate experience THE OPPORTUNITY • To learn, upskill and work at forefront of digital and AI., • Three roles — all sectors welcome: nuclear, defence, rail, aviation, water, infrastructure, • Genuine opportunity to embed in a high-performing project controls function Reach out directly — charlotte@paceglobal.org PACE Global UK #1 project controls recruitment partner

AI Technical Lead Location: London / South West UK (Hybrid) Salary: £140,000 - £170,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We partner with innovative start-ups, scale-ups and enterprise organisations that are transforming the way businesses operate through artificial intelligence, automation and modern software engineering. Our focus is simple: connecting the right people with the right opportunities to drive sustainable business growth. The Opportunity We are supporting a pioneering organisation that is building next-generation AI capabilities and looking for an experienced AI Technical Lead to drive the design, development and deployment of enterprise-scale AI solutions. This is a hands-on leadership role where you will shape technical strategy, influence architecture decisions and lead the delivery of cutting-edge AI products from concept through to production. You will work closely with executive stakeholders, product teams, engineers and data specialists to build scalable, secure and responsible AI systems that create measurable business impact. The successful candidate will combine strong software engineering foundations with deep expertise in machine learning, Generative AI, cloud technologies and modern AI infrastructure. What You'll Be Doing • Leading the technical direction of AI and Machine Learning initiatives across multiple business functions, • Designing, developing and deploying production-grade AI solutions, • Building and optimising Large Language Model (LLM) applications, RAG architectures and Agentic AI systems, • Developing speech-to-text, voice AI and accessibility-focused AI solutions, • Creating intelligent conversational experiences using modern AI frameworks, • Architecting scalable cloud-native AI platforms within AWS environments, • Building and maintaining robust MLOps pipelines and model governance frameworks, • Working closely with product and business stakeholders to translate requirements into technical solutions, • Leading technical discovery workshops and AI strategy discussions, • Ensuring AI solutions are secure, compliant and aligned with responsible AI principles, • Mentoring AI Engineers, Machine Learning Engineers and Data Scientists, • Driving engineering best practice including CI/CD, testing, monitoring and observabilityTechnical Experience RequiredArtificial Intelligence & Machine Learning, • Strong commercial experience designing, training, evaluating and deploying Machine Learning models, • Experience with Generative AI and Large Language Models, • Building Retrieval Augmented Generation (RAG) platforms, • Agentic AI and autonomous workflow development, • NLP, speech recognition and conversational AI solutions, • Fine-tuning and optimisation of AI models, • Model evaluation, monitoring and governanceTechnologies, • Python (essential), • PyTorch, • TensorFlow, • Scikit-Learn, • LangChain, • LangGraph, • Hugging Face, • Vector Databases (Pinecone, Weaviate, ChromaDB or similar), • FastAPI, • REST APIsCloud & Infrastructure, • AWS (essential), • Bedrock, • SageMaker, • Lambda, • ECS / EKS, • API Gateway, • DynamoDB, • S3, • CloudFormation or TerraformData & Engineering, • SQL and NoSQL databases, • Data Warehousing and Data Lake architectures, • ETL and Data Pipeline development, • Git, • CI/CD, • Docker, • Kubernetes, • Monitoring and Observability platformsLeadership Experience You will ideally have experience: • Leading AI, Machine Learning or Software Engineering teams, • Making architectural and technical decisions within enterprise environments, • Engaging with senior stakeholders and executive leadership teams, • Defining engineering standards and governance processes, • Mentoring and developing high-performing technical teams, • Delivering complex AI programmes from concept to productionNice to Have, • Experience developing Voice AI platforms, • Accessibility-focused AI solutions, • Experience with multimodal AI models, • Knowledge of Responsible AI frameworks, • Exposure to healthcare, fintech, retail or enterprise SaaS environments, • Experience building customer-facing AI products at scaleEducation, • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related discipline, • Equivalent commercial experience will also be consideredWhy Apply? This is an opportunity to join a business making significant investment in AI innovation and enterprise transformation. You will have the autonomy to influence strategy, shape technical direction and build AI solutions that deliver real-world impact while working alongside some of the brightest minds in the industry. If you're passionate about Generative AI, cloud-native architecture, voice technologies and leading high-performing engineering teams, we'd love to hear from you. To apply or find out more, contact: 📧 harshil@167solutions.com 🌐 167Solutions.com 167 Solutions – Connecting exceptional AI talent with exceptional opportunities.

Lead Data Engineer - Outside £600p/d | 3-6 month | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Remote UK based G.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to help kick off a build of a brand-new Data Engineering function from the ground up. This isn’t your standard contract its a leadership role so definitely won’t suit everyone... 👀 🔥 Initially, you’ll be hands-on delivering a critical Data Engineering project expected to run for the first 3–6 months 🔥 From there, you’ll have the autonomy to define what the Data Engineering capability looks like moving forward, tooling, architecture, strategy and team build included 🔥 Huge opportunity to genuinely influence engineering direction within a scaling business What they’re looking for 👇 😍 Strong hands-on Data Engineering experience across Python, Spark, SQL and PySpark 😍 Experience working with hyperscaler cloud platforms such as AWS, Azure or GCP 😍 Exposure to modern tooling including Databricks, Microsoft Fabric and PowerBI 😍 Previous experience building, leading or mentoring Data Engineering teams What’s in it for you? 👇 📍 Day Rate £600p/d | Outside ir35 📍 Remote - Must be UK based 📍 Opportunity to kick off a greenfield build Interested? Drop me a message or email: 📩 p.rainford@g-digital.co.uk #DataEngineering #LeadDataEngineer #HealthTech #Databricks #AWS #Azure #Python #Spark #Hiring

Software Engineer About Bamboo Rose At Bamboo Rose, we’re building the world’s leading collaborative product development and supply chain platform for global retail. Our technology helps retailers and brands bring great products to market faster, smarter, and more sustainably. We’re a team that values curiosity, craftsmanship, and collaboration and we’re looking for people who love to solve complex, real-world problems and make an impact across global supply chains. About the Role Bamboo Rose is expanding the engineering team for our newly integrated Plan solution. We are seeking an Intermediate Full Stack Software Engineer with a strong emphasis on front-end development to Improve the user experience and contribute to the evolution of our enterprise planning product. You will work as part of a collaborative R&D team focused on delivering high-quality features, and developing the client architecture using the latest UI patterns. Key Responsibilities Front-End & Full Stack Development • Develop high-quality front-end features using Angular best practices., • Collaborate with UX and backend engineering to enhance usability, performance, and consistency across the platform., • Design & Collaborate on .NET services to deliver application features., • Participate in the entire SDLC—from requirements through deployment and support., • Work with engineering leadership to evaluate and implement new UX patterns. Cross-Functional Collaboration & Support • Partner with Implementation, Consulting, and Support teams to resolve complex issues across the stack., • Collaborate with product & design teams to transition requirements to clear solution statements of work, • Provide clear and accurate documentation and technical definitions., • Provide 3rd-line support for customer projects as needed. Technical Skills & Experience Essential • Degree or equivalent level qualification, • Strong experience with the Angular 16+ (minimum), 20+ (ideal) and front-end engineering best practices., • Strong knowledge of Typescript and RxJS., • Working knowledge of C#, .NET, and backend service integration., • Strong problem-solving and debugging skills across the stack., • Commercial use of AI assisted development. Desirable • Experience of Angular state management libraries, NgRX (or any redux pattern library), • SQL (MS Sql Server / Postgres), • Exposure to Azure, cloud services, distributed architectures., • Agile sprint methodology, • CSS utilities such as Tailwind Why You’ll Love working here Real Impact: Ship features that directly support global retailers and deliver immediate customer value. Strong Engineering Culture: Work with technical leaders who value clean code, good architecture, and strong problem-solving. Challenging Problems: Tackle meaningful technical work across the stack—UI, services, data, and distributed systems.

URGENT REQUIREMENT — SC ELIGIBLE DATA ENGINEER CONTRACTS Multiple roles · Mid-level, Senior & Lead · Hybrid (UK) 📌 £450–£600 per day (Inside IR35, dependent on experience) 📌 Initial 12-month SOW with a long-term programme roadmap (2–3 years) 📌 Primarily remote with occasional travel to the Midlands (up to 2 days/month) 📌 SC Eligibility is required Hanover are building multiple Data Engineering teams to support a major long-term Central Government programme. The programme focuses on designing and delivering scalable cloud-based data solutions within high-performing Agile delivery teams. We are hiring across mid-level, senior and lead positions. What you’ll be doing: – Designing, building and maintaining scalable ETL/ELT data pipelines – Working with structured data sources to support analytics and downstream services – Developing solutions within modern cloud environments – Collaborating within Agile engineering teams in fast-paced delivery settings – Improving data quality, reliability and platform performance – Contributing to engineering best practice and knowledge sharing across teams What we’re looking for: – Proven background as a Data Engineer within complex delivery environments – Strong ETL/ELT experience – Experience with AWS, Oracle, PL/SQL and/or PostgreSQL – Strong SQL and data modelling fundamentals – Comfortable operating within delivery-focused Agile teams under tight timescales – UK Central Government experience highly desirable; banking or other high-transaction enterprise environments also considered

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Opportunity This is an opportunity to join IRIS Software Group as we transform into an AI-first company delivering cloud-native solutions that impact millions of lives globally. IRIS produces an integrated suite of mission-critical software applications spanning accountancy, HR, payroll, education, and business operations. You will be working as part of an Agile team to deliver innovative solutions to user stories and requirements, contributing to our modernisation journey that serves over 100,000 customers across 135 countries. The role is challenging and dynamic, with key deadlines to be met as we accelerate our cloud transformation and implement next-generation technologies. You’ll need to embrace continuous learning and bring a focused attitude to tasks that directly enable businesses, schools, and organisations to work smarter and more efficiently. You will be involved in a variety of cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed to creating exceptional solutions that make a real difference in how our customers operate and succeed. Role Purpose As a Senior Software Engineer, you will be a technical leader within your team, responsible for delivering complex full-stack web applications, serving millions of users, driving technical excellence, and mentoring other engineers. You'll be expected to bring commercial awareness to every technical decision, understanding that the best solution is the one that delivers value to customers and the business, not just the most elegant one. You will work hands-on with cutting-edge UI frameworks, .NET Core backends, and cloud-native technologies while contributing to architectural decisions and ensuring high-quality software delivery across containerised, scalable web products. Key Responsibilities Technical Delivery • Design and deliver complex, scalable systems (multi-service integrations, high-traffic APIs, data processing pipelines) that anticipate edge cases, scalability issues, and long-term maintainability, • Own large features or entire components across their complete lifecycle from conception to production support, • Make commercially aware technical decisions by weighing engineering trade-offs in the context of business commitments, delivery timelines, and customer impact, not just technical purity, • Lead technical discussions and influence architecture decisions within team systems and components, with authority over component-level technical choices and escalation path to Engineering Lead for cross-team impacts, • Drive technical excellence by establishing architectural patterns, standards, and best practices that others can follow, • Ensure knowledge transfer and documentation for owned systems to enable team continuity Collaboration & Communication • Lead with AI-first practices by actively drive AI-led ways of working within the team, using tools such as Cursor, Copilot, and Claude Code as a core part of how you design, build, and ship, while bringing others along on that journey, • Lead story refinement sessions with Product Owners, providing technical expertise for estimation and risk assessment, • Partner with cross-functional teams (product, design, QA) to deliver comprehensive solutions that meet business objectives, • Influence technology choices based on deep technical understanding and business context, • Lead team Agile ceremony facilitation to drive continuous process improvements, and establish team practices that enhance delivery predictability, • Proactively identify and inspire resolution of technical debt and system improvements Quality & Standards • Champion comprehensive quality practices including TDD/BDD standards, automated testing strategies, and shift-left testing, • Lead security implementation across complex features establish security practices and conduct comprehensive security reviews, • Establish development tooling and practices used consistently within the team, • Lead troubleshooting efforts for complex software issues and production incidents, • Establish documentation standards for complex team systems and drive knowledge transfer practices across team deliverables Growth & Development • Mentor junior and mid-level engineers actively to raise team capability and technical standards, • Lead team code review standards establishment conduct complex feature reviews, and drive quality improvements across team deliverables, • Drive continuous improvement and champion responsible AI adoption with team governance practices Required Experience & Skills Technical Skills • Frontend Development: Strong proficiency with modern UI frameworks (e.g. Angular, React, Vue.js, Blazor) including performance optimisation and component architecture OR working knowledge with focus on backend specialisation, • Backend Development: Strong proficiency with .NET Core, C#, ASP.NET Core Web APIs, REST, application architectures, and distributed systems, • Database Systems and Data Architecture: Strong knowledge of SQL, NoSQL and data architecture decisions., • AI-Assisted Software Engineering: Actively engaged in AI-first ways of working by showing a genuine shift in how you approach design, development, and problem-solving with AI as a core part of the workflow, not just a productivity add-on., • Experienced integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) into engineering practices to accelerate design, development, testing and debugging, using them critically and responsibly to improve quality, productivity and decision-making., • Observability: Advanced DataDog, Application Insights or Amazon CloudWatch implementation with performance tuning and cost optimisation, • Infrastructure as Code: Infrastructure as Code with either Terraform, Bicep, ARM Templates or AWS CloudFormation/CDK, • CI/CD Design: Design comprehensive CI/CD architectures for team deliverables, establish deployment strategies, and optimise pipeline performance for team efficiency, • Cloud Architecture: Strong proficiency in SaaS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) services, infrastructure design, and performance tuning, • Container Orchestration: Strong containerisation (e.g. Docker) or Kubernetes (AKS/EKS) experience with production-scale deployments, • Architecture Expertise: Expertise in clean architecture principles, SOLID design patterns, and domain-driven design, • Quality & Testing: Drive TDD/BDD adoption in team testing strategy and quality governance, and implement comprehensive automated testing with continuous improvement, • Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels, • Performance & Scalability: Profiling and benchmarking applications., • Application Security: Confident vulnerability management, thread modelling and tracking, • Production Support: Knowledge of observability and production support practices. Proficient in debugging complex issues, performance optimization, and production troubleshooting Experience Requirements • 5-7 years of professional software development experience, • Proven ability in delivering complex, multi-system solutions, • Experience working with highly scalable, internet-facing solutions serving millions of users, • Demonstrated technical leadership through architecture decisions, technical mentoring, and cross-team collaboration, • Track record of driving technical excellence, establishing standards, and influencing technology choices, • Active mentoring experience with junior and mid-level engineers, • Experience leading technical initiatives that span multiple sprints or quarters Soft Skills • Commercially aware and outcome-oriented — understands that engineering decisions exist within a business context, and prioritises delivery and customer value over technical perfection, • Demonstrates resilience and adaptability in the face of changing priorities or commercial commitments — able to pivot without losing quality or motivation, • Strong analysis and problem-solving skills for troubleshooting technical issues, • Excellent verbal and written communication skills with ability to explain technical concepts to non-technical stakeholders, • Technical leadership and influencing skills without formal authority, • Ability to utilise technical skills to develop and coach others through mentoring and knowledge sharing, • Collaborative approach and ability to work as part of wider Engineering, Platform and Quality teams, • Conflict resolution skills for technical disagreements and cross-team coordination, • Genuinely curious and AI-forward by continuously evolving how you work, with AI tooling as a natural part of your day-to-day, not an afterthought Desirable Skills • Experience working with regulated or complex domains (finance, health, govtech) with audit requirements, • Experience designing high-quality AI interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows, • Expertise with advanced monitoring and APM strategies using Datadog, including custom dashboards and alerting (or similar observability platform), • Expertise with modern UI architecture patterns (micro-frontends, SSR/SSG), • Knowledge of security best practices and compliance requirements (OAuth2, OIDC, RBAC), • Experience with event-driven architectures, • Exposure to DevOps processes and automation ensuring end-to-end responsibility of features, • Advanced cloud certifications in Azure or AWS

Senior Backend Developer (.NET | AI-First SaaS Platform) Compensation: Competitive, based on location and experience Location: UK (Hybrid – Office & Remote) Keepnet is an AI-driven SaaS platform experiencing strong, sustained growth in the UK with growing global momentum, helping organisations manage human cyber risk at scale. With Agentic AI live in production, Keepnet runs autonomous systems that plan, build, and operate security awareness and human risk workflows, supported by strong guardrails and observability. We’re looking for a Senior Backend Developer who wants to build production-grade backend services that power these systems, working in a multinational, AI-first engineering team where quality, ownership, and long-term thinking matter. What You’ll Do • Design, build, and maintain scalable backend services for Keepnet’s Human Risk Management platform., • Build clean, modular APIs that integrate internal services and third-party systems to enable automation, reporting, and security workflows., • Develop testable, maintainable codebases using principles such as Clean Architecture, DDD, and TDD., • Own the full development lifecycle: design, implementation, CI/CD (Azure), and post-release monitoring., • Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows., • Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues., • Collaborate closely with frontend, product, and customer-facing teams to deliver features that solve real customer problems., • Participate in Agile ways of working, focused on iteration, ownership, and continuous improvement. What We’re Looking For • 8+ years of experience building backend systems with .NET., • Strong understanding of API design, distributed systems, and asynchronous architectures., • Experience with SQL and NoSQL databases (PostgreSQL preferred), caching, and queuing systems., • Familiarity with cloud environments and DevOps practices (Azure preferred)., • Comfortable working on production SaaS platforms, with ownership beyond deployment., • Experience using AI-assisted development tools (e.g. Cursor or similar) to support code exploration, refactoring, testing, or design discussions—while maintaining strong engineering judgment., • A strong sense of ownership and production accountability, including monitoring, debugging, and continuous improvement., • Ability to understand product and business context, making pragmatic technical decisions that balance user value, risk, and long-term goals., • A security-conscious mindset, building systems that are secure by design. Life at Keepnet At Keepnet, engineering is about craft, collaboration, and impact. What you can expect: • Hybrid Working: A balance of in-office collaboration and remote focus time., • Thoughtful Engineering: Time and space to design systems properly, not just ship quickly., • Global Context: Work on a multinational SaaS platform used across multiple regions., • AI-First Environment: AI-assisted development and production-grade AI systems are part of everyday work., • Annual Leave: 25 days (+1 per year of service)., • Health & Well-being: Gym support and cycle-to-work scheme., • Team Culture: Monthly team lunches and quarterly offsites., • Continuous Learning: Learn from experienced peers and grow your skills over time. Why This Role Is Different This role is for engineers who: • Care about system design and long-term maintainability, • Enjoy working with experienced peers who challenge each other constructively, • Prefer preventing incidents over reacting to them, • Want to build software used by real customers at real scale, • Believe good engineering is as much about ownership and judgment as it is about code If that sounds like you, we’d love to talk.

We’re looking for an experienced and forward-thinking Head of Technical Infrastructure to lead a high-performing Racing Systems function within a cutting-edge motorsport environment. This is a rare opportunity to step into a senior leadership role at the heart of elite-level race operations, working across timing, data delivery, analytics, and technical event systems that support live motorsport operations on a global scale. You’ll play a key role in shaping the future of racing technology - driving innovation, improving operational performance, and leading teams responsible for delivering critical technical services across race events worldwide. If you thrive in high-pressure environments, enjoy solving complex technical challenges, and have a passion for motorsport data and performance systems, this could be the perfect next step. What You’ll Be Doing: • Leading and developing multidisciplinary technical teams across timing, data delivery, and race analysis functions, • Driving strategy, operational excellence, and continuous improvement across racing systems and event technologies, • Working closely with senior leadership to shape long-term technical and operational roadmaps, • Supporting the development of AI-driven diagnostic and predictive tools to improve event operations and system performance, • Collaborating with software, innovation, digital, and broadcast teams to enhance data-driven motorsport content and fan engagement, • Ensuring technical systems, infrastructure, and event operations are fully prepared and operational across international race events, • Overseeing technical reporting, analytics workflows, and automated data solutions to improve efficiency and scalability, • Acting as a senior technical leader during live events, ensuring smooth delivery across all operational functions, • Supporting budgeting, resource planning, and long-term departmental growth strategies What We’re Looking For: We’re interested in people who combine strong technical expertise with leadership experience in fast-paced motorsport or high-performance engineering environments. You’ll ideally bring: • A background in motorsport race engineering, performance analysis, vehicle dynamics, race strategy, or technical operations, • Experience managing and developing medium-sized technical teams, • Strong analytical and problem-solving skills with the ability to make decisions under pressure, • Experience working with telemetry, data analysis, and visualisation tools, • Knowledge of SQL, MATLAB, Excel, and other analytical software, • A passion for innovation, continuous improvement, and operational performance, • Excellent communication and stakeholder management skills, • Flexibility to travel internationally as part of a global race calendar An engineering degree or equivalent industry experience would also be beneficial. Why Apply? This is an opportunity to work at the forefront of elite motorsport technology, helping shape how race data, technical systems, and live operations evolve in one of the most demanding and exciting industries in the world. You’ll be joining a collaborative and highly technical environment where innovation, performance, and problem-solving are part of everyday life — with the chance to make a genuine impact on future racing operations and technologies.

Senior Insights Analyst Remote UK, up to £90,000 This is an opportunity to take a central role in shaping how data drives decision making within a fast-growing, digital-first business. As a Senior Data Analyst, you will turn complex questions into clear insights, influencing customer strategy, product performance, and commercial outcomes. The Company They are a scaling, product-led organisation operating in a highly data-driven environment. With strong collaboration across Product, Growth, and Commercial teams, they place analytics at the heart of their decision-making. The business is continuing to expand and invest in its data capabilities, providing a strong platform for impact and progression. They promote an inclusive culture where different perspectives are valued and supported. The Role • Analyse customer behaviour, retention, churn, and lifecycle performance to drive business insight, • Partner with Growth, Product, and Commercial teams to support strategic decision making, • Translate ambiguous business problems into structured analytical frameworks, • Build dashboards, reports, and decision-support tools, • Identify trends, risks, and commercial opportunities through data analysis, • Support experimentation and performance measurement initiatives, • Present insights clearly to both technical and non-technical stakeholders, • Contribute to improving analytics processes and data maturity across the organisation Your Skills and Experience • Strong SQL and analytical problem-solving capability, • Commercial mindset with a focus on customer outcomes, • Ability to structure analysis independently and communicate clearly, • Experience working with cross-functional stakeholders, • Understanding of customer behaviour, retention, and lifecycle analysis, • Comfortable working in fast-paced and evolving environments, • Collaborative approach with strong curiosity and adaptability What They Offer • Regular team engagement and social initiatives, • Clear opportunities to influence strategy and grow within a scaling business How to Apply If you are interested in applying your analytical expertise to drive meaningful business impact, please submit your CV to learn more.

SENIOR DATA ENGINEER UK REMOTE £85,000 - £100,000 This is a rare opportunity to join a high growth, product led technology business at a pivotal stage of scale. You will play a hands on role shaping a modern data platform that supports real time decision making, working with large volumes of live data in a highly collaborative engineering environment. THE COMPANY They are a UK based digital business that has grown rapidly over the past decade and recently secured significant investment to accelerate their expansion. Known for a mobile first product and a strong focus on user experience, they have built a highly engaged customer base and strong brand recognition. As the business continues to scale, data sits at the heart of their growth strategy to support its fast user growth. THE ROLE You will join a data function and work closely with engineering leadership to evolve the data platform end to end. The role is highly hands on and focused on building robust, scalable solutions. • Designing and building data pipelines from application layer through to the warehouse, • Working with high volume, near real time data streams, • Developing and maintaining data models to support analytics and product use cases, • Improving engineering standards, testing practices and production readiness, • Contributing to the setup and management of multiple environments, including staging and production SKILLS AND EXPERIENCE Must have: • Strong commercial experience in data engineering with previous experience in software development/DevOps., • Previous experience or understanding of data modelling, • Strong Python, SQL and Terraform skills, • AWS services (GCP considered) Nice to have: • CI/CD, • Snowflake, • Dbt, • Iceberg, • Kimball/Datavault, • Git, • Dagster BENEFITS • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale, • Salary: up to £100,000, • Remote working Please note you must be UK based, and this role does NOT offer sponsorship.

Our client is a fast-growing, venture-backed technology company transforming a large, complex industry through artificial intelligence and modern data infrastructure. We’re building AI-powered products that combine advanced automation with human expertise to improve operational workflows, reduce friction, and create better customer experiences at scale. As an early-stage team, we’re focused on solving meaningful challenges using modern technology and creating a culture where ownership, innovation, and impact matter. We’re looking for a Data Engineer to build and scale the data foundations that power our platform, customer experience, analytics, and AI systems. *Fully Remote - Salary Dependant on Experience (£80,000-£120,000) The Role: As a Data Engineer, you'll design and operate the infrastructure that moves, transforms, and structures data across our systems. You'll work across ingestion pipelines, transformation layers, monitoring, customer onboarding, and analytics while partnering closely with product, engineering, and AI teams. This is a hands-on role with meaningful ownership and the opportunity to influence how data architecture evolves as the business scales. Responsibilities: • Design and build reliable end-to-end data pipelines connecting customer systems, internal platforms, and AI-generated outputs, • Create and maintain transformation layers that convert raw data into trusted, documented datasets, • Develop dashboards and analytics solutions for both internal teams and customer-facing insights, • Implement monitoring, alerting, and data quality checks to proactively identify issues, • Lead customer data onboarding by mapping datasets and building scalable integration processes, • Improve performance and optimize warehouse costs as data volumes grow, • Collaborate with backend, AI, and product teams to align operational and analytical systems, • Establish best practices for data modeling, testing, documentation, schema management, and code review, • Support and improve AI-driven workflows and data capabilitie Requirements: • 5+ years of experience in data engineering within production environments, • Strong Python and SQL skills, • Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar, • Hands-on experience with transformation frameworks such as dbt or Spark, • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, • Strong understanding of data modeling principles across analytical and operational systems, • Experience with monitoring and data quality tooling, • Familiarity with CI/CD practices and testing for data workflows, • Comfortable working with emerging technologies, including AI-assisted development tools What We Offer: • Flexible working arrangements, • Competitive compensation and potential equity participation, • Modern tools and equipment, • Opportunities for rapid growth and meaningful impact, • Collaborative and highly talented team environment

Principal Data Engineer Location: Newcastle / Manchester / Leeds / Southwest England | Hybrid with regular client-site travel Salary: £100,000 - £140,000 Security Clearance: Eligible for UK SC clearance required Employer Overview Our client is a fast-growing technology consulting business operating in demanding defence, financial services, and private capital environments. The firm is built for high-trust, high-impact delivery, combining deep engineering capability with a pragmatic consulting approach. It is backed by two major global businesses and is scaling its defence engineering capability through 2026. Role Context This is a Principal-level data engineering role for someone who can design, build, and improve data-intensive applications and pipelines in complex, security-sensitive environments. The work sits at the intersection of engineering quality, client delivery, and modern data platform capability, with direct exposure to high-stakes programmes across the UK defence sector. The successful candidate will bring strong technical judgement, communicate well with senior stakeholders, and operate with the ownership expected in a smaller, fast-moving consulting environment. Key Responsibilities • Design and build reliable data pipelines and data-intensive applications for complex client environments., • Develop in Python and SQL, with appropriate use of Spark, Databricks, cloud services, and orchestration tools., • Test, troubleshoot, and continuously improve data products to strengthen reliability, quality, and performance., • Work closely with clients and internal teams to translate business needs into robust engineering solutions., • Contribute to architecture conversations and support the use of AI-assisted engineering practices where appropriate. Candidate Profile / Technical Skillset • Strong principal-level data engineering background, ideally gained in a consulting or client-facing environment., • Must currently be from, or have most recent experience in, a global top 300 company., • Proven delivery of data platforms, pipelines, and modern engineering solutions in complex environments., • Hands-on experience with Python, SQL, and one or more of Spark, Databricks, AWS, Azure, GCP, or Airflow., • Eligible for UK SC clearance and comfortable with regular UK travel, including defence sites. We are specifically looking for candidates from a global top 300 company, with the discipline and standards associated with that background. An interest in AI, architecture, and modern engineering practice will be an advantage. Benefits Summary The package is £100,000 to £140,000, with strong ownership from day one, high-impact projects, and the opportunity to help shape a growing defence capability. The role offers real technical responsibility, visible delivery outcomes, and substantial scope for development. • Significant ongoing investment., • Strong ownership and end-to-end engineering responsibility., • Opportunity to join a rapidly growing defence engineering capability. How to Apply? Please apply with a CV that clearly reflects the required data engineering experience, consulting exposure, security eligibility, and background from a global top 300 company.

Hiring: AI Application Engineer — Cricket Connect (Remote, CET hours) Building production-grade AI for elite cricket is one of the most interesting engineering problems in sport. Cricket Connect is an AI-native cricket intelligence platform working with several Vitality Blast county teams, a major franchise league, and a national team. We turn ball-by-ball data into pre-match plans, in-match decisions, and post-match insight for coaches, analysts, and fans. Two products on a shared intelligence engine: CC AI (live match companion for fans) and CC Pro (professional analytics suite for coaches, analysts, and franchises). The platform is live, the clients are professional cricket organisations, and the bar is rising fast. We're hiring the engineer who will help us raise it. The engineering problem Cricket is one of the most data-rich sports in the world — every delivery generates dozens of structured signals. Turning that volume of data into reliable, decision-grade output for professional coaches is a meaningfully harder problem than building a typical LLM application: • Numerical correctness is non-negotiable. A coach reading a pre-match report can spot a wrong number instantly. The system has to be right, not just plausible., • The data is deep and the schema is rich. Ball-by-ball tables, innings tables, match tables, player tables — and the right answer often depends on joining them in exactly the right way., • The output is structured. Pre-match reports, matchup matrices, captaincy intelligence, breaking-point analysis — every module is a contract between the data layer and the narrative layer, and that contract has to hold. The engineering thesis we're building on is straightforward: the model should narrate structured data, not compose numerical claims from raw queries. The next phase of the platform is about deepening that discipline — precomputed views, canonical chapter payloads, validation layers between data and model, eval suites built from real cricket scenarios. That's where this role sits. The role You'll work directly with me and our technical lead, owning the data and validation layer underneath both products. The first 90 days are concrete: • Schema discipline. Document column semantics across the analytical tables (with COMMENT ON COLUMN and a maintained data dictionary), so every aggregation downstream is built on shared, explicit definitions., • Precomputed analytical views. Build the canonical aggregations that power our most-used modules — team phase-state tables, defending-band tables, chase-state tables, matchup matrices — so query composition is centralised and consistent., • Chapter payload contracts. Define the structured payload each module of the CC Pro match report returns: every number, every supporting innings, every denominator. The model narrates the payload. The numbers come from the data layer., • Validation layer. Build the layer between data and model that enforces arithmetic consistency, scope sanity, denominator presence, and cross-aggregate reconciliation — so every chapter ships with the same standard of rigour., • Evals and regression tests. Establish the eval set so we can ship new modules with confidence and catch issues before users see them. After that, you scale the same discipline across every new module we ship (player matchups, batting plans, bowling plans, captaincy intelligence) and set the engineering standard for whoever joins after you. Stack and shape of work • LLM application layer. Heavy use of structured outputs, tool use, retrieval, evals. The model itself is not the bottleneck; the system around it is where the value is built., • Database. PostgreSQL, ball-by-ball cricket data at scale (millions of rows), strong analytical query workloads., • Engineering culture. Pragmatic, deliberate, evidence-led. We precompute the view, validate the payload, narrate the result. You probably have • Built production systems on top of LLMs where reliability matters and users will notice errors immediately. You treat "the model said something plausible but wrong" as a class of bug that needs systematic defence, not optimism., • Strong SQL and data modelling. Comfortable designing schemas for analytical workloads, writing window functions and CTEs fluently, and deciding when to precompute vs query on the fly., • Built validation layers, eval sets, golden datasets, and regression tests for non-deterministic systems. You think of these as engineering primitives, not research artefacts., • Pragmatic instincts. Precompute the view, validate the payload, narrate the result., • Domain affinity for cricket — or the kind of mind that picks up a numbers-heavy domain fast and treats learning it as part of the job. Cricket fluency is what lets you spot when something doesn't look right; it's not optional., • Bonus: experience shipping analytics products in sports, finance, or any other numbers-dense domain where users can spot a wrong figure at a glance. Those instincts transfer directly. What's on offer • Real traction with paying clients in professional cricket — county sides, a major franchise league, a national team. The work matters and the customers care., • Direct working relationship with the founding team. No layers, no committees, no managing-up. If you want to ship something, we ship it., • Equity after 12 months of strong performance., • A growth role with real ownership: you set the engineering standard for everyone who joins after you, and your scope expands with the company., • Remote work, organised around CET working hours for team overlap. One thing to be upfront about We don't operate on a 9-to-5 rhythm. The team is always on — match days, draft weeks, season launches, client demos don't fit a calendar. The right person finds that energising rather than draining. If you want predictable hours and clean evenings, this isn't the role. Be honest with yourself about which one you are before you apply; it saves both of us time. How to apply Message me directly here on LinkedIn. Skip the cover letter — send me one concrete example of a project where you raised the reliability bar on a production system. What was the baseline, what you changed, and how you knew the improvement held. That tells me more than a CV. — Morten Kriek, Founder & CEO, Cricket Connect

Red Snapper Recruitment are recruiting for a junior eDiscovery Specialist. Location: Remote Contract: 3 months (potential extensions) Vetting: NPPV3 and SC clearance Main Responsibilities • Data Intake & Verification: Manage the secure receipt, intake, validation, and verification of electronic data, facilitating its secure transfer from client environments to our internal network., • eDiscovery Data Processing: Oversee and execute data processing activities using Relativity or Nuix (with automation where possible), including but not limited to data ingestion, filtering, de-duplication, and export, ensuring data is prepared efficiently for legal review., • Document Review Workflow Support (Relativity): Support the setup and management of document review workflows within Relativity, including workspace configuration, and ensuring data is accurately loaded and accessible for review teams., • Documentation & Compliance: Prepare and maintain meticulous documentation for all data handling and processing activities in strict adherence to ISO operating standards and procedures. Person Specification • Relativity Experience: Minimum 1 -2 years practical experience with Relativity, including an understanding of document review workflows, data loading, and workspace management., • Data Handling Expertise: Proven experience with data handling, validation, and quality assurance processes within a legal or eDiscovery context., • Additional technology: Familiarity with the following are beneficial: Microsoft Azure, SQL, other eDiscovery platforms., • Conscientiousness: Strong attention to detail and excellent organisational skills are essential for managing complex data sets and ensuring accuracy., • Process Adherence: Ability to follow established processes and procedures rigorously, whilst identifying areas for continuous improvement., • Communication Skills: Excellent communication skills, both written and verbal, to liaise effectively with internal teams and external stakeholders. Additional Requirements: For certain client engagements, candidates will undergo an individual conflict check, completion of engagement-specific onboarding, training, and competency verification before commencing work. If this role is not for you but you do know somebody who would be interested, please refer them. We have a referral bonus scheme and will pay £75, in retail vouchers of your choice, for referrals who are not already known to us. Due to the high volume of applications received, if you do not hear from us within 7 working days, I am afraid your application has been unsuccessful. RSR is a public safety & enterprise security recruitment specialist. We assist public safety employers find the right talent. We assist all employers when they want to source public safety and enterprise security skills and experience. Red Snapper Recruitment is a member of the Red Snapper Group. The Red Snapper Group acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. The Red Snapper Recruitment Group is an equal opportunities employer.

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

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

Job Title: Java Developer (SC Cleared) Contract: Inside IR35 Setup: Remote (Hybrid initially for travel required during knowledge transfer for 1st 3 months across different locations in England – on-call work may be required later in the contract as well) Security Clearance: Must be holding active, unelapsed SC clearance Interview Process: 1 Stage, MS Teams We are supporting a large, mission-critical public-sector team in expanding their java development operations, to maintain and evolve a complex legacy technology environment. This role suits Java developers who are comfortable providing L3 support in regulated environments. Key Responsibilities • Support and maintain Java-based legacy applications within a critical national system, • Provide L3 support, troubleshooting issues and resolving incidents across application components, • Develop, test and maintain Java and PL/SQL applications, scripts and supporting services, • Refactor existing code and contribute to automated test coverage, • Work with Oracle WebLogic, JDBC / ODBC integrations and stored procedures, • Support Elasticsearch components used within the application estate, • Collaborate with Support, Platform and DBA teams to resolve issues and deliver changes, • Maintain technical documentation, follow coding standards and contribute to peer reviews, • Escalate complex issues to senior engineers while supporting technical decision-making, • Participate in knowledge transfer, operational support and future on-call rota where required Essential Technical Skills • A minimum of 2 years’ professional experience in Java & related technologies (preferably with Java SE 11+ or EJB/JSP), • Experience in supporting legacy applications, • Experience refactoring & developing automated tests, • Experience in basic integration work with auditing & protective monitoring services Technologies: • Spring/Spring Boot, • Oracle Weblogic, • Oracle PL/SQL, • ODBC/JDBC, • Elasticsearch, • Java Desirable Skills • ETL, • Cloud Platforms, • Git, • Jenkins, • Nginx, • Apache HTTP/Tomcat, • Docker, • IBM Initiate (MDM)

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • An engineering mindset applied to analytics, rather than an analyst focused role What They Offer • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture, • The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Full Stack Software Engineer 12 month FTC, start ASAP Tech - TypeScript, Angular, JavaScript, Basic SQL, Git Why? PE backed SaaS Vendor Location - remote in England with travel to office (Reading) on day 1 to collect equipment A PE backed SaaS vendor are looking for a Full Stack JavaScript Software Developer to join a bilingual team. You will join a collaborative team committed to building high-quality solutions. They value individuals who are proactive and passionate about robust web applications and enjoy solving complex problems. Full Stack Software Engineer - Responsibilities • Development and maintenance of SaaS products, • Work in a bilingual environment utilising modern technology Full Stack Software Engineer - Requirements • 2+ years' professional experience as a Full Stack Software Developer working on SaaS software, • Professional experience of TypeScript, Angular, & JavaScript, • Beneficial - NestJS experience, • Strong written and verbal communication skills (English), • Strong problem-solving attitude, • Strong proactive mind-set For more information, please contact Katie at Matched Group Software Engineer / Software Developer / Full Stack Developer / Full Stack Engineer

pawaTech is looking for a Senior Software Engineer with passion for teamwork and a collaborative mind. As part of the Sports Feed team, you will be working on integrating sports data from third-party providers, reformatting and distributing that data to different internal systems, and building scalable services that support live event handling across our platform. The team handles one of the most critical parts of our Sportsbook product, ensuring sports content is accurate, timely, and processed under high load. Compensation range: £5500 - £8000 full contractual monthly pay. About us: pawaTech is a leading iGaming solutions provider, delivering sportsbook, casino, lottery, and player management software as a service. We power betPawa - Africa’s largest betting brand, operating across multiple markets. Our platform is designed for scale, handling millions of active users across the web and mobile, processing thousands of transactions every second. With nearly a decade of industry expertise, we don’t just build software - we craft tailored solutions that drive innovation. Our expertise, commitment to quality, and client-focused approach make us a trusted partner in Africa and beyond. What you’ll be doing: • Integrating with external sports data providers and distribute data across the platform;, • Reformatting data for betting and client interfaces;, • Designing and building scalable back-end services for the Sportsbook domain;, • Collaborating with teams to ensure accurate data allocation and smooth delivery;, • Writing integration tests and ensure code quality;, • Refactoring and optimising code for evolving business needs;, • Managing the sports content pipeline and handle format conversions for cross-team requests;, • Conducting regression testing to ensure system reliability. What makes you a great candidate: • Several years of experience with Java and the Spring framework;, • Proven experience of backend software development experience in gambling industry is a must;, • Confident understanding of design patterns, algorithms, and data structures;, • High coding standards;, • Experience with any SQL (MySQL/ PostgreSQL);, • Team player with good communication skills. Extra expertise we appreciate: • Experience with micro services and distributed systems;, • Experience with gRPC;, • Experience with RabbitMQ/ Kafka;, • Experience with Kubernetes. Why choose pawaTech? • We make an impact and contribute to shaping the iGaming culture;, • We offer growth inside dedicated teams of seniors and career prospects;, • We embrace a modern technological stack and innovative approaches;, • We apply AI-driven tools to enhance productivity, streamline workflows, and keep our teams ahead in innovation;, • We value balance - a hybrid environment, wellness-related perks and team events are waiting for you;, • We play it fair with compensation that recognises and backs your achievements, team budgets, and milestone recognition bonuses. This job is accepting ongoing applications, and there is no application deadline. At pawaTech, we are dedicated to building a welcoming and diverse workplace and invite applicants from all backgrounds, regardless of race, gender, age, or other protected characteristics. Our hiring process ensures fairness, objectivity, and respect for every applicant. Applicants are welcome to redact or omit information from their resumes that identifies their age, date of birth, or dates of attendance or graduation from educational institutions. In compliance with EU GDPR standards and PDPA in Estonia, your personal data will be treated confidentially, used purely for recruitment, and accessible only to authorised hiring team members. Please visit our _ to learn more. For additional information regarding the processing of your data, please reach out via data.protection@pawatech.com

We are looking for GenAI and Agentic Engineers to join a leading global business and technology transformation consultancy within its Data Science and AI practice. This role focuses on the end-to-end design, development, and deployment of intelligent systems that combine Generative AI models, agentic frameworks, and full-stack engineering. You will work at the intersection of strategy and technology, helping clients move beyond rapid prototyping to scale production-grade AI products that solve complex business challenges. Key Responsibilities • Design, develop, and deploy both front-end and back-end components for AI-powered applications, with a focus on GenAI and agentic solutions, • Architect agentic workflows incorporating Human-in-the-loop (HITL) gates, auditability, policy controls, and robust evaluation frameworks for regulated environments, • Translate business requirements into technical AI architectures, leveraging data science and analytics to deliver high-standard client outcomes, • Collaborate with cloud architects, data scientists, and product managers to transition early-stage PoCs into scalable MVPs and production systems, • Support business development activity by building AI demonstrators for client showcases and contributing technical expertise to proposals and RFPs, • Contribute to internal practice development through the creation of whitepapers, campaign development, and the refinement of AI service offerings, • Facilitate knowledge sharing and mentoring within the engineering team to maintain high delivery standards and pace Requirements • Experience operating within a major consulting firm or a high-growth industry environment with a consulting mindset, • Proven track record of delivering full-stack applications across the entire lifecycle, from PoC to secure, production-grade solutions, • Technical proficiency in Python (3.10+), TypeScript/JavaScript, and SQL, • Experience with backend frameworks (FastAPI, Django, or Flask) and modern frontend stacks (React.js, Next.js, Tailwind CSS), • Proficiency in cloud environments, specifically Azure (OpenAI, AKS) or GCP (Vertex AI), including experience with Docker and CI/CD pipelines, • Strong stakeholder management skills, with the ability to collaborate with both technical and non-technical client sponsors, • Eligibility for UK security clearance (requires 5 years of continuous UK residency) Desirable Experience • Experience with Agentic frameworks such as LangChain, CrewAI, Autogen, or OpenAI Agents, • Familiarity with RAG pipelines, MCP, and LLM evaluation tools like LangSmith or TruLens, • Knowledge of software engineering best practices, including Clean Code (SOLID), TDD, and modular architecture, • Experience building AI-specific UX patterns, such as streaming, provenance citations, and error-recovery loops Why Apply? This is an opportunity to join a specialist AI and Data Science team within a global transformation partner. You will work on high-impact projects across both public and private sectors, moving technology from experimental stages into the real world. The role offers the freedom to explore the latest models and frameworks, supported by a culture that values ethical technology and innovation. The organisation provides a clear path for professional growth, a flexible hybrid working model, and the opportunity to shape the future of agentic AI within a Tier-1 consultancy environment.

Senior Data Engineer (Contract) Remote (UK) 10 months £600 - £650 per day OUTSIDE IR35 A leading data consultancy is partnering with a large enterprise organisation to deliver a major cloud data platform programme. As part of this transformation, we are looking to bring in an experienced Snowflake Technical Lead to take full ownership of a key delivery workstream. This is a genuinely hands-on leadership role. It is best suited to an engineer who enjoys designing and building production-grade data solutions, rather than someone who wants to operate purely in architecture review or governance discussions. You will be trusted with real autonomy over implementation decisions while remaining clearly accountable for delivery outcomes Project Context This is a decommissioning and migration project. The organisation is retiring a legacy data setup and rebuilding its pipelines on Snowflake. The work spans the full picture, with a meaningful element of data modelling and design as pipelines are re-architected for the new platform. The legacy environment being dismantled is built on WhereScape RED and SQL Server. A core part of the project involves understanding that existing setup, unpicking how it works, and re-implementing the equivalent logic cleanly within Snowflake and dbt. The Role You will lead the technical delivery of a data pipeline workstream within Snowflake, operating as part of a wider transformation programme that is modernising the organisation's core data capabilities. You will own your workstream end-to-end — from analysing the legacy implementation, through data modelling and design, build, validation, deployment, and operational hardening, while working closely with delivery leads and stakeholders to keep momentum across the programme. Key Responsibilities • Analyse the legacy environment, picking apart the existing WhereScape RED and SQL Server implementation to understand current data flows and logic ahead of migration., • Design and build Snowflake data pipelines end-to-end, rebuilding legacy pipelines and taking source data through to consumable, well-modelled outputs., • Carry out data modelling and design, re-architecting data structures for Snowflake rather than simply lifting and shifting the legacy approach., • Implement transformation logic using dbt, applying sound modelling practices, modular design, and maintainable, well-documented code, • Apply validation rules and data quality controls to ensure the accuracy, completeness, and reliability of data moving through the pipeline, • Design logging, monitoring, and failure-handling approaches so that pipelines are observable, resilient, and straightforward to operate and troubleshoot, • Support deployment and CI/CD across environments, helping to ensure changes are released in a controlled, repeatable, and low-risk manner, • Work closely with delivery leads and stakeholders to communicate progress, surface risks early, and keep the workstream aligned with programme priorities, • Make and own implementation decisions, exercising technical judgement while remaining accountable for the quality and timeliness of deliver Essential Skills and Experience • Strong Snowflake engineering experience, including hands-on design and build of production workloads, • Solid dbt experience and advanced SQL skills, with a focus on clean, maintainable transformation logic., • Solid data modelling and design experience, with the ability to re-architect data structures rather than simply replicate a legacy design., • A proven track record of delivering production data pipelines into live environments., • Comfortable operating as a technical lead while remaining hands-on with the build — owning delivery without stepping away from the code., • Able to work independently and make confident decisions within a fast-moving programme., • Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders. Desirable Experience • Experience with WhereScape RED and SQL Server, particularly the ability to pick apart and reverse-engineer an existing legacy ETL setup. This is genuinely a nice-to-have rather than a requirement — a capable engineer can pick up the legacy tooling on the job, so strong core engineering skills matter more., • Experience working within insurance or other regulated environments. This is beneficial but not essential — strong engineering capability is the priority., • Familiarity with cloud data platform programmes and large-scale migration or decommissioning delivery., • Exposure to data governance, security, or compliance considerations within a regulated setting. Engagement Details • IR35 status: Outside IR35, • Working pattern: Predominantly remote with occasional on-site presence as required by the programme, • Contract length: Initial contract with strong extension potential, dependent on programme progress and performance, • Availability: Candidates who can start early July are strongly preferred This opportunity is ideal for a senior data engineer or technical lead who enjoys owning delivery, solving real engineering problems, and seeing a workstream through from design to a robust, operational outcome. If you take pride in building solutions and want the autonomy to do it well within a high-impact programme, this role is for you. To be considered, please click apply now.

Moodsonic uses sound to improve how indoor spaces feel. Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience. The role We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place. As Moodsonic scales, you will keep the platform safe, reliable, and defensible. You are joining a team where colleagues hold deep domain knowledge. You will need to build trust, collaborate well, and lead through influence rather than authority. This is not a management role. The platform is live and growing quickly, with real customers and real consequences. What you'll work on In your first six to twelve months: • Own and evolve the backend platform: services, data layer, infrastructure, APIs. Strengthen what is in production today, design what is missing, and build what comes next, • Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning. Visibility and input into on-device code decisions, because device security is platform security, • Own the identity, authentication, and account layer of the platform, • Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery, • Own the partner-facing integration APIs end to end, from design through operation. These are the surfaces our customers and hardware partners build against, and their reliability is our reputation, • Own the engineering practices that support our certifications and audit-readiness, • Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by, • Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on What we are looking for Required: • 5+ years shipping and operating production backend systems, including time on-call and in incident response. You know what it feels like when something breaks at 2am and you own the fix, • Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality, • Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer, or security needs and turn them into practical technical plans without a big PM or architecture layer handing you a spec, • Deep relational data modeling and schema design. Postgres or equivalent as a daily tool. Strong instincts for migrations, indexing, and query performance under load, • API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline, • Identity and authentication systems experience: modern identity protocols (OAuth or similar), session management, role-based access, multi-tenant boundaries. You understand what breaks when these are wrong, • Security mindset in practice, not theory. You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals, • Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it, • Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices, • Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs, • Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you, • Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them. Intellectual honesty and the willingness to push back when the right answer is unpopular, • Clear written and verbal communication, particularly when working asynchronously across time zones Valued: • Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion, • Shipping to enterprise customers, incident response commitments, and contractual security obligations, • Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default, • Kubernetes and modern container orchestration, • Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work, • Audio, signal processing, or real-time systems background, • AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: • Interest in sound, music, acoustics, or the wellbeing applications of audio Team and how we work You will join a small, senior team distributed across the UK, Europe, and the US West Coast. We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones. Compensation and benefits Base salary £65,000 to £85,000, calibrated to experience. Equity will be a material part of the package. Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. UK right to work is required. How to apply Send a short note, your CV, and links to work you are proud of. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.

About Hooper Media Hooper Media is a specialist B2B software company serving the entertainment and media finance market. Our platform helps customers manage complex finance processes across content, contracts, parties, calculations, reporting, and auditability. We are building modern, scalable software for a market that has historically relied on legacy systems and manual workflows. As we continue to grow, we are seeking a hands-on full-stack Software Engineer who can use AI development tools as a core part of their day-to-day workflow to increase the pace, quality, and reliability of product development. Role summary This role is for a practical, delivery-focused engineer who is comfortable working across Angular, .NET, SQL databases, and cloud-hosted environments, and who can use tools such as Claude, GitHub Copilot, ChatGPT, Cursor, or similar AI coding assistants to accelerate real product development. The successful candidate will help turn product requirements into production-quality software, using AI to speed up design, implementation, testing, refactoring, debugging, and documentation. Just as importantly, they will know how to validate, troubleshoot, and harden AI-generated code so that it is maintainable, secure, performant, and fit for a B2B production environment. Industry knowledge of media finance is helpful but not required. AI-enabled development experience, strong troubleshooting ability, and familiarity with our core technology stack are more important. Key responsibilities AI-augmented software delivery · Use AI coding assistants daily to accelerate feature development, refactoring, debugging, testing, documentation, and technical discovery. · Translate product requirements into clear technical plans, implementation steps, prompts, and reviewable code changes. · Review, test, and improve AI-generated code rather than accepting output uncritically. · Create repeatable AI-assisted engineering workflows that improve the productivity of a small engineering team. · Continuously evaluate relevant AI development tools and recommend practical adoption where they improve speed, quality, or maintainability. Full-stack product development · Design, develop, and maintain clean, efficient, reliable code across the application stack. · Contribute to front-end development using Angular, TypeScript, HTML, and CSS. · Contribute to back-end development using C#, ASP.NET, Entity Framework, and related .NET technologies. · Work with SQL databases, including Microsoft SQL Server and T-SQL, to support reliable application functionality, reporting, and performance. · Collaborate with product managers, designers, and engineers to convert business requirements into technical specifications and actionable delivery plans. Quality, troubleshooting, and production readiness · Write and maintain unit, integration, and end-to-end tests appropriate to the feature or defect being delivered. · Participate in code reviews with particular attention to maintainability, test coverage, security, performance, and the quality of AI-generated code. · Diagnose and resolve defects across front-end logic, APIs, database queries, integrations, deployments, and cloud infrastructure. · Identify and address performance bottlenecks, reliability issues, and technical debt. · Participate in CI/CD processes, deployments, and system monitoring in cloud environments such as Azure or AWS. Team contribution · Help establish team norms for safe, effective, and auditable use of AI in software development. · Share effective AI-assisted development techniques with other engineers. · Operate effectively in a small engineering team where engineers own features end to end and are expected to troubleshoot beyond narrow boundaries. · Proactively suggest improvements to our technology, processes, architecture, and product delivery practices. Required experience and skills · Strong hands-on experience using AI coding tools such as Claude, GitHub Copilot, ChatGPT, Cursor, or similar tools in real software development work. · Ability to review, debug, test, refactor, and improve AI-generated code. · Strong C# and ASP.NET development experience. · JavaScript or TypeScript experience, with the ability to work on modern front-end applications. · SQL database experience, ideally including Microsoft SQL Server and T-SQL. · Strong object-oriented programming fundamentals. · Strong debugging and troubleshooting skills across front-end, back-end, and database layers. · Ability to work from product requirements through implementation, testing, deployment, and support. · Comfortable working in a small, fast-moving B2B software team where practical delivery and ownership matter. Helpful experience · Angular. · Entity Framework. · Visual Studio and modern .NET development workflows. · Unit testing and integration testing. · Git and pull request based development. · Azure DevOps, CI/CD pipelines, cloud hosting, and PaaS services. · Azure, AWS, or similar cloud environments. · Agile development methodologies. · PostgreSQL or other relational databases. Nice to have, but not required · Experience in entertainment, media, royalties, residuals, participations, or finance-related software. · Experience with audit-heavy, calculation-heavy, workflow-heavy, or rules-based B2B software products. · Experience helping a team adopt new development practices or tooling.

Senior Data Architect About the Role We are seeking a Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. In this role, you will architect scalable data solutions that integrate Salesforce CRM, ERP systems, and operational data into a modern Databricks Lakehouse platform, enabling trusted business insights, analytics, and AI-driven decision-making. Key Responsibilities • Design and implement enterprise-wide data architecture and data models across CRM, ERP, and business systems., • Lead the development and optimization of Databricks Lakehouse architecture using Bronze, Silver, and Gold data layers., • Architect and maintain Salesforce data models, integration frameworks, and customer data strategies., • Establish data governance, master data management (MDM), and data quality standards., • Design scalable ETL/ELT pipelines and data integration solutions., • Partner with business and technical stakeholders to translate business requirements into data solutions., • Support analytics, reporting, and AI/ML initiatives through high-quality, accessible data., • Drive best practices for DataOps, CI/CD, and data-as-code methodologies. Required Qualifications • 7+ years of experience in Data Architecture or related leadership roles., • Strong hands-on experience with Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, and Medallion Architecture., • Proven expertise in Salesforce Data Architecture, including data modeling, object relationships, integration patterns, and CRM data design., • Experience designing enterprise-scale data models and data integration frameworks., • Advanced SQL and data modeling skills., • Experience integrating Salesforce with ERP platforms such as Sage Intacct, NetSuite, Workday, SAP, or Oracle., • Strong understanding of data governance, data quality, and Master Data Management (MDM)., • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience supporting AI/ML and advanced analytics initiatives., • Exposure to event-driven and real-time data architectures., • Experience with Git, CI/CD pipelines, and DataOps practices., • Experience in SaaS or high-growth technology environments. Must-Have Skills ✅ Salesforce Data Architecture ✅ Databricks Lakehouse Architecture Candidates without strong experience in both Salesforce Data Architecture and Databricks will not be considered.

AI Engineer • Location: Flexible (UK), • Reporting to the Squad leader, • Salary: £80k–£100k The company is a global hospitality software leader with its award-winning SaaS platform. Recognised in the UK’s Top 35 AI Companies, and a leader in hospitality tech — it has built a reputation for innovation, excellence, and a relentless drive to transform the experience ecosystem. As we enter a new era of AI-driven product development, we are seeking a hands-on, visionary Data Scientist to help shape the future of our platform and accelerate our transformation. The Opportunity • You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models., • Your work will be project-driven, and highly visible — with the unique satisfaction of seeing your innovations deployed instantly to tens of thousands of clients worldwide., • This is a role for someone who wants to build, not just advise. Someone who wants to lead by example, not from the sidelines. Someone who wants to shape the future of a global SaaS platform. What You will Bring Core Expertise • Proven experience delivering AI-prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate:, • Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows., • or hands-on experience building and deploying ML or Deep Learning pricing/ analytical models., • You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini, Sonnet., • You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume third party data and features in order to quickly improve our market delivery., • You will be expected to provide assistance and advice related to the deployment of AI based projects., • Ability to influence/inspire other engineers and help shape product design and release processes through AI-driven skills. Who You Are • You have learned from the best — and now you want the freedom to drive meaningful, practical change., • You lead by doing sleeves rolled up, hands on the keyboard, setting the pace for others., • You value theory, but you prioritise practical execution and measurable outcomes., • You are energised by seeing your work impact 30,000+ organisations globally, not just internal stakeholders., • You are resilient: legacy stacks (MS-SQL, C#, JavaScript, ongoing React migration) do not scare you — they motivate you., • You are excited to join the core platform Squad’s, long-standing mission to standardise language, data structures, UX and UI navigation standards and you can bring structure, clarity, and discipline to projects., • You thrive in environments where excellence matters more than ego, and where the team is united by a desire to win. Work Style & Culture This role is for someone who loves solving puzzles, building solutions, and pushing boundaries. It is not a lifestyle job — it is a mission-driven one. That said, the company offers: • Flexible working hours, • Flexible working locations (most engineers work from home), • A friendly, bright, ambitious team, • A culture that embraces change, learning, and innovation You will be joining people who genuinely love what they do, and who are committed to delivering the best hospitality software in the world.

Senior Software Engineer (C++) 📍 Remote (UK / Europe) 🏦 High-Performance Trading Systems 💰 Up to £180k + bonus + equity We’re hiring a Senior C++ Engineer to work on the systems that sit at the heart of a global trading platform. This is a backend, systems-focused role centred around performance-critical engineering — building the infrastructure that enables fast, reliable, and secure execution at scale. 🚀 The Role You’ll be working on the core framework and performance-critical components that underpin the trading engine. Your responsibilities will include: • Designing and building low-level systems that support high-frequency transaction processing, • Developing robust, reusable components used across the trading platform, • Engineering for low latency, high throughput, and system resilience, • Working on concurrent and distributed systems operating under real production load, • Identifying and resolving bottlenecks across CPU, memory, and network layers, • Writing efficient, maintainable, and well-tested C++ code, • Partnering with cross-functional teams to deliver scalable technical solutions 🧠 What They’re Looking For • Strong experience building production systems in C++, • Background working on high-performance, low-latency, or high-throughput systems, • Solid understanding of multithreading, concurrency, and memory management, • Experience working in Linux-based environments, • Familiarity with distributed systems or large-scale architectures, • Experience with performance tuning and profiling at system level, • Exposure to other languages (e.g. Python, Java, SQL) is beneficial, • Interest in trading systems, financial infrastructure, or market mechanics is a plus, • Comfortable operating in a fast-paced, delivery-focused environment 🌍 Why This Role • Strong comp (including bonus & equity), • Opportunity to solve complex, performance-driven engineering problems, • High ownership culture, • Remote-first setup with a globally distributed team

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Basic Qualifications (BQs): • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Other Qualifications (OQs): • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be directly shaping the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Design and implement technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS infrastructure, such as Serverless stack or other event driven architecture technologies., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £65,000 to £75,000/year salary depending on experience, • Share options in Logiq Systems

Software Engineer (backend) 📍Location: UK (Remote) 💰Salary: £125k –£145k + annual performance bonus ❌No visa sponsorship offered Capital markets move trillions. The legal documents underpinning those transactions are dense, nuanced, and mission-critical, and right now, most of that complexity is still handled by hand. This company is changing that. Built on years of machine learning PhD expertise, backed by a top-tier venture firm, and now operating at global scale following a high-profile acquisition, this team is tackling some of the hardest NLP problems in finance and law. Their customers include many of the world's leading law firms and the demand for what they're building is accelerating fast. As a Software Engineer, you won't be maintaining someone else's roadmap. You'll be architecting the critical backbone between a cutting-edge AI data platform and the professionals who depend on it daily. Your decisions will ship. Your influence will stick. If you want to do the most meaningful work of your career, in a team that moves fast, thinks deeply, and gives a damn about craft - read on. The Role • Design and build scalable backend services and APIs that power a document analysis platform used by major legal and financial institutions, • Write high-performance, maintainable server-side code and data processing pipelines, • Define clear, efficient API contracts and contribute meaningfully to service architecture decisions, • Design compositional API primitives that accelerate the productionisation of a growing library of document insights, • Build and maintain integrations with third-party services and internal ML systems, • Contribute to frontend features and components as needed to deliver end-to-end functionality, • Drive performance optimisation for data-intensive backend operations, • Champion engineering excellence — contribute to code practices, design patterns, and long-term maintainability, • Improve developer experience by automating and improving CI/CD and day-to-day production operations Skills Needed Required: • 6+ years of professional full-stack development experience with a strong backend focus, • Proficiency in backend technologies - Python (FastAPI, Django, or Flask) is preferred; Node.js, Java, or Go also considered, • Strong understanding of RESTful APIs, database design, and data modelling (SQL and NoSQL), • Experience with containerisation and orchestration (Docker, Kubernetes) and cloud platforms (AWS preferred), • Proficiency in TypeScript and React for frontend contributions, • Foundation in distributed systems, event-driven architectures, and web fundamentals, • Strong communication skills and a self-starting, action-biased approach to problem-solving, • Bachelor's degree in Computer Science or related field, or equivalent practical experience Preferred: • Experience with microservices architecture and message queues, • Experience building data processing pipelines or working with large-scale data systems, • Familiarity with CI/CD best practices and single-tenant architectures, • Experience optimising backend performance for data-intensive applications, • Mentorship experience and a track record of ownership in previous roles, • Interest in language, economics, or legal/financial domains Benefits • 15 - 20% annual performance bonus, • Fully remote - work from anywhere in the UK, • Private medical, dental, and vision insurance, • Pension and retirement planning support, • Health and wellbeing reimbursement (including fitness and mindfulness), • Flexible paid time off Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

Penta Consulting are a technology service provider and leading outsourced partner helping to deliver professional and managed solutions across EMEA. We are looking for an experienced PowerMax Engineer to join our enterprise infrastructure team. This role is ideal for someone with deep expertise in high-performance block storage and mission-critical environments. You will be responsible for designing, managing, and optimising Dell PowerMax storage platforms supporting core business applications and databases. Summary • Design, deploy, and manage PowerMax (VMAX) storage environments, • Administer SAN infrastructure (Fibre Channel / iSCSI), • Provision and optimise storage for databases, virtualisation, and enterprise workloads, • Perform system upgrades, patching, and lifecycle management, • Monitor performance, capacity, and availability across storage arrays, • Troubleshoot complex storage and connectivity issues, • Implement replication, disaster recovery, and business continuity solutions (SRDF, snapshots), • Ensure security, compliance, and best practices across storage environments, • Collaborate with application, database, and virtualisation teams Required Skills & Experience • Block storage and SAN technologies, • Fibre Channel zoning and multipathing, • High-availability and replication concepts, • Proven hands-on experience with Dell PowerMax / VMAX Experience supporting: • Enterprise databases (Oracle, SQL Server, SAP), • VMware / Hyper-V environments, • Strong troubleshooting and performance tuning skills, • Knowledge of storage provisioning and capacity planning Desirable Skills • Experience with SRDF (replication) and Metro configurations, • Familiarity with Dell tools (Unisphere, Solutions Enabler), • Scripting/automation (Python, PowerShell, Ansible), • Experience with NVMe-based storage environments, • Dell Proven Professional certifications or equivalent