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Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favourite sports teams and competitions. How do we add value? * Media outlets add a little magic to their coverage with our stats and graphics packages. * Sportsbooks can offer better predictions and more accurate odds. * The world's top coaches are known to use our data to make critical team decisions. * Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Responsibilities: * Researching, developing, and implementing innovative machine learning techniques to Stats Perform’s wealth of sports data, across various sports, such as soccer and tennis. * Productizing your models alongside engineers and product teams, in a quick and efficient way. * Presenting your solutions to other internal teams, broadening AI proficiency in the company. * Providing technical guidance to various teams on the artificial intelligence approaches that our team uses. * Identify new AI solutions for emerging problems, create requirements and propose an outline a roadmap for delivering the project. * Support, train and mentor team members on best machine learning implementation practices. Required Qualifications: * Master’s or PhD in data science, computer science, mathematics, statistics or related STEM fields. * 3+ years of experience working as a data scientist (or similar role). * Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). * Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). * Comfortable designing and creating neural network architectures, tree-based methods and applying upcoming technologies from scratch. We want you to be the creator of the next generation of AI models from Stats Perform! * Experience deploying models in cloud environments (such as AWS/Google Cloud), making models production-ready and integrating them in end-to-end cloud pipelines. At Stats Perform you will be co-responsible for ensuring the models you have created are performing in a real-world environment. * Fluency in English; excellent verbal and written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders. Desired Qualifications: * Experience with sports event and/or tracking data and deep interest in sports, in particular soccer and tennis. * Knowledge of the sports analytics landscape and latest research. We want to stay on top of the latest research in the sports world and apply the latest techniques in our projects. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Site Reliability Engineer (Security Cleared) Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. • Salary to £60k + Company Options Scheme Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business. Role Theyre looking for a (Security Cleared) Site Reliability Engineer (SRE) to join their growing platform and delivery teams. Youll help design, build, and operate reliable, secure, and performant infrastructure that underpins critical public-sector services. Youll combine your background in DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. Youll also work with event-driven technologies, identity and access management, and data platforms, ensuring our orchestration solutions are resilient, secure, and future-ready. This is an exciting opportunity for an engineer who thrives on solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Key Responsibilities Design, deploy, and manage containerized workloads using Kubernetes and Red Hat OpenShift Provision and manage infrastructure using Terraform Build and operate scalable infrastructure in Amazon Web Services (AWS) Design, implement, and maintain robust CI/CD pipelines Improve system reliability, observability, performance, and security Implement monitoring, logging, and alerting solutions Troubleshoot production incidents and perform root cause analysis Collaborate with development teams to improve application resilience and deployment processes Required Skills & Experience Experience in Site Reliability Engineering, DevOps, or similar roles Strong hands-on experience with Kubernetes and container orchestration Experience working with Red Hat OpenShift in production environments Proficiency in infrastructure as code using Terraform Solid experience with Amazon Web Services (AWS) Experience designing and maintaining CI/CD pipelines NB: Please only apply if you already have UK Security Clearance (SC). xrnqpay Other Stuff NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence security cleared security clearance SC

Graph Database Specialist (Neo4j / PostGIS) Remote (Europe) | AI-First Geospatial Platform Make your application after reading the following skill and qualification requirements for this position. A product-led tech company is hiring a Graph Database Specialist to build a Neo4j + PostGIS platform at the core of its product. This is a high-impact role where the graph + geospatial layer is the competitive advantage, not just infrastructure. Youll design, scale, and optimise a production-grade data platform handling complex, real-world relationships. Key Responsibilities • Design and optimise Neo4j graph models and Cypher queries, • Build scalable, idempotent ETL / ingestion pipelines, • Architect PostGIS spatial schemas and queries, • Lead migration from legacy systems into graph architecture, • Expose data via high-performance APIs (REST / GraphQL), • Apply AI tools to accelerate development while maintaining data quality Requirements, • Strong Neo4j + Cypher experience (production optimisation), • Solid PostGIS / spatial SQL expertise, • Experience with graph xrnqpay modelling and large-scale ETL pipelines, • Remote: Europe time zones preferred, • Type: Full-time (strong contractors considered), • Start: Urgent

MAIN PURPOSE OF JOB: To operate and ensure the smooth running of the processing plant, to fulfil customer requirements in the supply of high-quality aggregates. Responsible for ensuring that housekeeping, routing maintenance and health and safety and environmental for the plant and stocking yard. RELATIONSHIPS: a) Responsible to: Quarry Manager b) Responsible for: None c) Liaison with: Directors, Managers, Employees, Clients, Suppliers DUTIES AND RESPONSIBILITIES: MAIN TASKS OF JOB: Operate processing plant system to reduce all raw material to appropriate size for further resale. Service and assist in repair of the processing plant. Performs housekeeping duties around processing plant. Start up and shut down procedures of the processing plant. Monitor raw aggregate material being loaded into the hopper and checked for quality of products being produced. Stops processing plant in the event of a problem using correct procedures. Inspects processing plant at beginning, end, and throughout the day as needed; Reports any problems to the Quarry Manager. Perform daily equipment, walk around and site inspections to identify and correct any unsafe conditions and keep equipment properly maintained Responsible for all associated mobile plant including maintenance and daily checks procedures excluding ADT. Responsible for the removal of all waste products in line with the Companys Environmental policy. Ensure PPE is worn at all times To comply with the companys Factory Production Control Manual in support of SRC Quality Objectives To act in accordance with the companys Health, Safety and Environmental policies, procedures and practices highlighting any issues appropriately Performs other duties as directed THE IDEAL CANDIDATE: Enthusiastic, committed and a fast learner with previous experience of a busy environment Ability to work with individuals across departments and liaise with external customers and contacts Solid organisational skills and the ability to prioritise a varied workload Preferably recognised qualification to operate processing and mobile plant (preferably CPCS or MPQC) or working towards; Clean UK driving license; Experience with operating and basic maintenance of processing and mobile plant; TPBN1_UKTJ