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Senior DevOps/Platform Engineer – Remote | SC Eligible 📍 Ideally based near London / M4 / M3 Corridor (in case of hybrid client assignments) 🕒 Full-time | Permanent | Flexible hours 💰 £60k - £80k DOE 🚀 Lead impactful cloud transformation projects across public and private sector clients. About us Ntegra is a specialist technology practice on a mission of Digital Empowerment through building Digital products. We are dedicated to innovation and continuously seeking enthusiastic and motivated individuals to join our dynamic team. Learn more about the work we do here: ___ Ntegra is a specialist technology practice on a mission of Digital Empowerment through building Digital products. We are dedicated to innovation and continuously seeking enthusiastic and motivated individuals to join our dynamic team. Learn more about the work we do here: The successful candidate will represent Ntegra, working directly with our high-profile public and private sector clients. Our Platform Engineers are responsible for the development and deployment of automation solutions using tools such as Ansible, Terraform and coding languages including Bash and PowerShell, as well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more junior team members internally. 💡 The successful candidate will: • Architect and manage platforms for our public and private sector clients on Google Cloud Platform, AWS and Azure when needed, • Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions, • Collaborate with data engineers, DevOps teams, and clients to deliver secure, high-performing environments, • Drive innovation, mentor others, and implement best practices across cloud and DevOps ✅ Essential: • Proven hands-on experience with GCP services (GKE, Compute, IAM, networking, etc.), • Skills in infrastructure-as-code (Terraform), scripting (PowerShell, Python, Bash), and CI/CD, • Strong stakeholder communication and a proactive, collaborative mindset, • Alignment to Ntegra's values: Open & Honest, Collaborative, Can Do Attitude, Leads By Example., • Ability to gain SC Clearance ⭐ Desirable: • Experience in a Consultancy/Practice environment., • Current SC Clearance. 🎁 We offer: • Flexible remote working + private healthcare + enhanced leave, • Interesting and varied work, • Professional development, L&D support + peer recognition bonuses, • A welcoming, inclusive team culture 📩 Apply now – Even if you don’t tick every box, we value passion and potential just as much as experience. 🔒 Due to the nature of our work, SC clearance is a requirement. We are only accepting direct applications for this role, agencies need not apply.

About the role The Idox Geospatial Division has brought together four geospatial business units into a single combined entity to establish one of the largest geospatial businesses in the UK. The new division provides a compelling capability that covers the full geospatial lifecycle, from strategy and consultancy to powerful software and data as a service. Geospatial data significantly underpins the division’s current and future revenues. Within the Division’s Data & Research Team, the Data Engineer role is responsible for designing, building and optimising our data pipelines and infrastructure, ensuring that the curation, delivery and value added use of our geospatial data catalogue is undertaken to a high quality. Working with the 3 sub teams of Research & Innovation, Data Delivery and Data Management you will ensure we provide quality assured data products and services to our customers, maximising the potential for automation of our data pipelines, contributing to the development of new and existing data products and services and supporting our research and innovation projects. Continuous improvement is key to our success and you will directly contribute to the enhancement of our systems and processes as well as the adoption of relevant standards. You will contribute to our increased use and application of new technologies including Artificial Intelligence as we develop new data insight products and services as well as improve the automation of our pipelines and data collection systems. In the role you will provide technical support, product development and testing, data management and support to our Products, Sales and Customer Operations teams. You will help to ensure our key service management commitments are fulfilled to high quality and performance standards as well as making sure that our technical documentation is well maintained. The role provides a growth path from Junior to Senior levels. Key Responsibilities You will be assigned to one of the three subteams, though expected to work flexibly and in collaboration. For All Levels • Design, develop and maintain ETL pipelines for data ingestion, transformation, publication and delivery, • Automate, develop and continuously improve data processing procedures and pipelines, • Use cloud-based data platforms, infrastructure and modern data engineering, data management and geospatial technologies, • Provide technical support, guidance and advice for other divisional teams, partners and customers, • Ensure compliance with our operating procedures, quality management processes and relevant industry standards, • Develop and perform structured quality assurance and testing for existing and new data products, • Prepare and maintain documentation for our operating procedures, systems and infrastructure, • Liaison with third party data suppliers and partners, • Ensure adherence to appropriate information security, governance and security protocols for geospatial data, • Keep up to date with industry changes, opportunities, professional learning and development, • Adherence to Idox Information Security policies and protocols. Level Specific Responsibilities Junior Data Engineer • Assist in building and debugging data pipelines, • Learn and apply best practices in data management, • Write and optimise SQL queries and Python scripts, • Assist with research, innovation, data projects and data product development, • Support the delivery and supply of data to customers, • Work under guidance from mid-level and senior data engineers. Mid Level Data Engineer • Develop and optimise sustainable data workflows, • Implement data governance, monitoring and automation solutions, • Contribute to research, innovation, data projects and data product development, • Improve system performance and process efficiency, • Conduct code and quality reviews, • Identify and monitor operational risk, • Mentor and guide junior data engineers. Senior Data Engineer • Work with stakeholders to define data requirements and solutions, • Architect and lead the design and development of data platforms, processes and pipelines, • Lead key initiatives in data infrastructure, • Lead research, innovation, data projects and data product development, • Manage and mitigate operational risk, • Lead data quality management activities, • Monitor and report on key performance indicators, • Lead and contribute to wider Idox Group geospatial initiatives, • Mentor and guide junior/mid-level engineers. To be successful, you’ll need to bring: • Degree or equivalent qualification in GIS, Remote Sensing, Computer Science or related field, • Practical experience with geospatial data management and data engineering, • A working knowledge of recognised geospatial data and metadata standards, • Expertise in spatial database technologies (PostGIS), • A working knowledge of ETL tools (e.g. Safe FME, GDAL) and Python scripting, • Experience with geospatial web mapping and desktop GIS (e.g. ArcGIS, QGIS, GeoServer), • Excellent verbal and written communication skillls, • Ability to proactively engage with internal and external customers at all levels, • Good planning and organisational skills, • A focus on quality, best practice and attention to detail, • Ability to work well with others in multi-functional teams, • Ability to work independently with minimal supervision, • Ability to generate new ideas and solutions, • Aptitude for learning and applying new technologies. Additional desirable qualities: • Familiarity with big data tools and architectures, • Experience with Python scripting, • Experience with Ordnance Survey mapping and data products, • Experience with public cloud infrastructures e.g. AWS, Azure, Google cloud. About Idox Our specialist software solutions power the performance of government and industry, driving productivity and a better experience for everyone. Built around the user and designed in collaboration with experts who have worked through every detail of every process from end-to-end, our hard-working process engines deliver exceptional functionality and embed workflows that drive efficiency and best practice with a long-term focus for regulated environments. Through the automation of tasks, the simplification of complex operations, finding scalability as operations evolve, and more effective management of information, we help our customers harness the power of Digital, so they can do more. Our Benefits: Flex to Fit We recognise that for individuals, the opportunity to work flexibly can enable them to achieve a better work-life balance along with a greater sense of responsibility, ownership and control of their working life. During the pandemic, all our employees successfully transitioned to remote working, and we are open to conversations on work patterns to suit our employees needs such as change to working times; part time working; term time working; 9-day fortnight. We are proud to be a flexible employer enabling effective hybrid working for our employees. Family Friendly We understand how important family is to our employees and provide support through difficult times such as bereavement as well as offering excellent pay and leave benefits for parents and carers welcoming a child. Health and Wellbeing Our Workplace Wellbeing team provide support and resources on mental health and lifestyle. We also provide 24/7 confidential help via our employee assistance programme. Be Heard You will have the chance to impact change within Idox by having your voice heard via our CEO live broadcasts; making suggestions to Idox Voice forum or sharing your ideas in our company newsletter, Inside Idox. Community You will have the opportunity to participate in community and social activities, as well as group wide fundraising ventures. We prioritise sustainability and ethical impact on our communities, and we pledge to allow our employees to carry out volunteer work. Your Development Our mentor scheme will help you to achieve personal and professional growth through learning from experienced colleagues and you will also have access to online and face to face learning modules including our Leadership Development Programme. Financial Security We offer full company sick pay plus income protection for long term illness and our life assurance cover is provided up to four times annual salary. Our Pension Scheme operates on a salary Exchange Contribution Basis so you will receive relief from NI contributions. You are also invited to join our Idox Xtra Share Scheme where every share bought will receive an extra one free from the company. How to apply Please submit a CV, and a short cover letter (maximum 500 words - including salary expectation, and current remuneration) explaining why you feel you would be suited to this role to Please note successful applicants will need to satisfy the BPSS guidelines (Baseline Personnel Security Standards) which consist of the receipt of satisfactory references covering the last 3 years of employment; an identity check; verification of eligibility to work in the UK; and a Basic Disclosure Check. This is in order to help us make safer recruitment decisions. Privacy Notice As part of the recruitment process, we will collect data about you in a variety of ways including the information you would normally include in a CV or a job application cover letter, or notes made by our recruiting officers during a recruitment interview. Please read our Recruitment Data Privacy Policy here:

ROLE TITLE: Test Engineer LOCATION: Remote - Occasional travel to London CLEARANCE: The ideal candidate will have active SC Clearance or be eligible to undergo SC Clearance. We are actively looking to secure multiple Test Engineers to join Experis. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively. Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development. Required Skills: • Execute manual and automated test cases as directed by senior test engineers or test leads., • Log, track, and re-test defects using standard tools (e.g., Jira, Azure DevOps, TestRail)., • Support smoke testing, regression testing, and basic integration testing as part of release cycles., • Maintain test data and test environments, ensuring systems are ready for testing., • Support troubleshooting activities by collecting logs and reproducing issues., • Assist in documenting test results, producing simple reports and summaries., • Follow established QA processes and contribute to their continuous improvement., • Collaborate with developers, support teams, and business users to clarify requirements and support defect resolution., • Participate in daily stand-ups, release reviews, and other relevant project meetings. Benefits Include: Contributory pension scheme • Employee Assistance Program, • Medical and Dental cover, • 22 days holiday + bank holidays, • Maternity Pay/Shared Parental leave and paternity leave, • Sick pay Suitable Candidates should submit CVs in the first instance.

We are excited to be working with an AI-native VC-backed startup looking to hire a high-calibre contract Full Stack Engineer into their UK business, to play a pivotal role in building their next generation AI platform. Having closed a substantial seed round very recently and with several well known enterprise clients lined up, they're looking to add fuel to their engineering team fire in the shape of an experienced contract engineer. This contractor could be based fully-remote anywhere in the UK or hybrid out of their London HQ - the choice is entirely yours. As Full Stack Engineer (AI) you will: • Design and deliver personalised, AI-powered platform features using LLMs, recommender systems, and reinforcement learning., • Ship production features in React (TypeScript/JavaScript) and Python (FastAPI, SQLAlchemy). From ML pipelines to frontend polish and trick debugging, you'll touch every part of the product journey., • Experiment with the latest AI tools (think Cursor, Windsurf, and beyond) and keep pace with the rapid evolution of modern AI, finding faster, smarter ways to build., • Work closely with product and design in a fast-moving environment, building, testing, and refining features at a world-class speed. We want to hear from you if you have: • Proven impact (2+ years): Built real products in fast-paced or startup environments, balancing speed, quality, and scale., • Full Stack craft: Strong in React/TypeScript and Python (APIs, data pipelines), with cloud experience — ideally GCP, but AWS/Azure works too., • Applied AI/ML know-how: Hands-on delivering AI/ML features to users, with genuine curiosity for new tools and trends., • Drive to deliver: Take ownership, move fast, and ship work that makes a real business impact., • Pragmatism as a builder: Write scalable, maintainable code, knowing when to move fast and when to build for the long term. Contract details: • Up to £550/day, • 3 month contract initially, • Outside IR35 contract, • Fully remote or hybrid working model out of their London HQ - the choice is yours

Automation Engineer – Data Analytics Platforms Location: Remote (UK) Duration: 6 months Pay Rate: Open to negotiation (depending on experience) About the Role Join a prestigious global consulting firm’s data analytics team that empowers users across multiple regions with best-in-class analytics solutions. You’ll help streamline workflows, automate repetitive tasks, and make data tools like Tableau, Power BI, Microsoft Fabric, and KNIME easy to use for employees worldwide. This is a high-impact role where your automation skills will directly improve efficiency and adoption of analytics platforms at scale. Key Responsibilities • Design and implement automation workflows across analytics platforms., • Build and maintain self-serve applications for internal users using product APIs., • Integrate and manage cloud-based services (Azure, AWS) across platforms., • Develop and maintain REST APIs to enable seamless communication between tools., • Monitor system performance and implement improvements to ensure reliability., • Collaborate with global teams in Agile sprints, contributing to daily stand-ups and planning sessions. NOTE - This is not a general IT automation engineer. They need someone who can automate processes for analytics platforms (Tableau, Power BI, Microsoft Fabric, KNIME) and integrate them with cloud services (Azure, AWS). Skills & Experience Mandatory: • Strong programming skills in Python AND (JavaScript, or TypeScript)., • Experience with automation, API integration, and workflow orchestration., • Hands-on experience with cloud platforms (Azure and/or AWS)., • Ability to build and maintain REST APIs and backend services., • Familiarity with CI/CD pipelines and version control (GitHub/GitLab)., • Experience working in an Agile environment., • Strong problem-solving and communication skills. Desirable: • Experience with Tableau REST API, Power BI REST API, or Microsoft Fabric automation., • Knowledge of KNIME Hub or similar analytics workflow platforms., • Experience integrating with identity and access management systems (Azure AD, Okta)., • Familiarity with Docker, Kubernetes, or infrastructure-as-code tools (Terraform, ARM, Bicep)., • Understanding of monitoring and logging frameworks., • Basic knowledge of UI frameworks for simple front-end interfaces. Education & Certifications • Bachelor’s degree in Computer Science, IT, or related field., • Cloud certifications such as AWS Solutions Architect, Azure Administrator, or Google Cloud Professional are a plus. Why Apply? • Work with a global, high-impact analytics team., • Drive automation and efficiency across multiple platforms., • Flexible, remote working arrangement., • Open pay rate reflecting your skills and experience.

Do you want to build agentic AI systems used by over 30 global retail brands? Looking to scale ML/LLM products in a fast-growing, post-Series A startup? Keen to work hands-on with MLOps, LLMs, and backend APIs in a high-impact role? We're working with a company that’s redefining retail analytics through AI. Their suite of intelligent tools—used by over 30 global brands—enhances merchandising, shopper journey planning, and range optimisation. Profitable from day one and now scaling fast, they’re growing their engineering team to meet rising client demand. This Senior AI Engineer will work across the business to ideate LLM use cases and own data pipelining, ML deployment and finetuning. Responsibilities: • Build scalable backend systems powering ML/LLM-driven tools, • Design and maintain CI/CD-enabled MLOps pipelines, • Develop robust APIs to serve production AI models, • Collaborate with data scientists and product teams, • Optimise big data and cloud infrastructure (Azure/GCP) Requirements: • 3+ years in data engineering or MLOps, • Strong Python and exposure to ML/AI libraries (e.g. PyTorch, HuggingFace), • Proficient with Airflow, DBT, Docker, Kubernetes, • Cloud deployment experience (Azure preferred), • Backend/API development experience with client-facing exposure Interested? Please apply below.

Role: Principal Salesforce Engineer Location: Middlesbrough, Bolton or Redhill (Hybrid) Package: £80,000 + strong bonus & benefits Summary Join a growing Salesforce team that’s set to triple in size over the next year. You’ll lead an existing and brand new Salesforce squad, driving both architecture and delivery while shaping the platform’s technical direction. This is a hands-on role that will naturally evolve into a more strategic, leadership-focused position as the team expands. As Principal Salesforce Engineer, you’ll define and own the Salesforce technical architecture, ensuring scalable, secure, high-quality solutions. You’ll mentor engineers, lead design reviews, and work closely with product, delivery and enterprise architecture to deliver key programmes. Principal Salesforce Engineer Responsibilities • Design and deliver complex Salesforce solutions across multiple Clouds, • Define and maintain technical architecture, integration patterns and performance standards, • Lead design reviews and ensure consistency with best practice and governance, • Oversee integrations with internal systems and middleware (e.g. Mulesoft), defining APIs and data flows, • Drive performance optimisation, scalability and platform resilience, • Mentor engineers and guide technical delivery across squads Principal Salesforce Engineer Requirements • Strong Salesforce engineering and technical leadership experience, • Expertise across multiple Clouds – Financial Services, Sales, Service, Experience, Marketing, • Proven track record in solution design, integrations, and governance, • Hands-on proficiency in Apex, LWC, Flows, SOQL/SOSL, and Salesforce integration patterns, • Deep understanding of Salesforce security, authentication and architecture best practice Tech Stack: APEX, JavaScript, SOQL, SOSL, Flows, Lightning Web Components, HTML, CSS, Custom Objects, Triggers, Azure DevOps, Odaseva, Copado, Azure Cloud Services. What’s on Offer • £80,000 base + annual bonus, • 12% employer pension, • Private medical & life assurance, • 28 days holiday + Bank Holidays, • Training, certifications & Pluralsight access, • Strong wellbeing and employee benefits You must be eligible to work in the UK. SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.

We are seeking a highly skilled ML Ops Engineer to join our growing data team. This role is critical in designing and implementing robust, scalable, and efficient data systems that power analytics, machine learning models, and business insights. The ideal candidate will have expertise in data pipeline orchestration (e.g., Airflow), data lake and warehouse architecture and development, infrastructure as code (IaC) using Terraform, and data extraction from both structured and unstructured data sources (e.g. websites). Knowledge using the Microsoft Azure ecosystem, MLOps, Kubernetes, and other modern data engineering practices. Core Responsibilities Data Architecture & Development: • Leverage best practices in schema design, partitioning, and optimisation for, • efficient storage and retrieval., • Build and maintain data models to support analytics and machine learning, • workflows., • Design and implement scalable, secure, and high-performance data lake and data, • warehouse solutions. Pipeline Orchestration: • Develop, monitor, and optimize ETL/ELT workflows using Apache Airflow., • Ensure data pipelines are robust, error-tolerant, and scalable for real-time and batch processing. Data Scraping & Unstructured Data Processing: • Develop and maintain scalable web scraping solutions to collect data from diverse sources, including APIs, websites, and other unstructured data sources., • Extract, clean, and transform unstructured data such as text, images, and log files into structured formats suitable for analysis., • Use tools and frameworks like BeautifulSoup, Scrapy, or Selenium for web scraping, and natural language processing (NLP) techniques for text processing. Cloud Integration: • Design and implement cloud-native data solutions with Microsoft Azure., • Optimize costs and performance of cloud-based data solutions. Infrastructure as Code (IaC): • Use Terraform to automate the provisioning and management of cloud infrastructure., • Define reusable and modular Terraform configurations to support scalable deployment of resources. MLOps: • Collaborate with data scientists and machine learning engineers to operationalise machine learning models., • Implement CI/CD pipelines for machine learning workflows, ensuring efficient model deployment and monitoring. Containerisation and Orchestration: • Utilize Kubernetes and containerisation technologies (e.g., Docker) to deploy scalable, fault-tolerant data processing systems., • Manage infrastructure and resource allocation for containerised data applications. Cross-Functional Collaboration: • Work closely with stakeholders, including data scientists, software engineers, and business analysts, to align technical solutions with business needs., • Mentor junior engineers and foster a culture of continuous learning within the team. Skills / Qualifications Education: • Bachelor's/Master’s/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience. Experience: • 5+ years of experience in data engineering or a related field., • Strong expertise in data pipeline orchestration tools such as Apache Airflow., • Proven track record of designing and implementing data lakes and warehouses (experience with Azure is a plus)., • Demonstrated experience with Terraform for infrastructure provisioning and management., • Solid understanding of MLOps practices, including model training, deployment, and monitoring., • Hands-on experience with Kubernetes and containerised environments. Technical Skills: • Proficiency in programming languages such as Python & SQL., • Experience with distributed computing frameworks such as Spark., • Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Soft Skills: • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment., • Excellent communication and documentation skills., • Strong analytical mindset with attention to detail. Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

ABOUT THE ROLE We're seeking a highly skilled and passionate Full-stack Engineer to join our growing engineering team. This is a pivotal role for someone who thrives in a fast-paced environment, has a deep understanding of scalable web applications, and is eager to leverage Artificial Intelligence to enhance user experiences, drive engagement, and uncover valuable insights. You'll be instrumental in building the next generation of our gamified platform, from intuitive user interfaces to robust, performant backend services, with a keen eye on integrating AI/ML capabilities across the stack. RESPONSIBILTIES • End-to-end Development: Design, develop, and deploy high-quality, scalable, and maintainable full-stack applications using React, Node.js, and other core technologies., • Frontend Mastery: Drive the architecture and implementation of responsive, performant, and engaging user interfaces using React, ensuring exceptional user experience across web and mobile platforms., • Backend Powerhouse: Build and maintain robust, secure, and scalable API services and microservices that power our gaming platform, handling high volumes of real-time data., • AI Integration: Research, design, and implement AI/ML features into our products, focusing on areas such as:, • Personalisation: Tailoring game content, recommendations, and user journeys., • Predictive Analytics: Forecasting user behaviour, churn, and engagement patterns., • Content Generation: Exploring generative AI for dynamic game elements or marketing assets., • Fraud Detection/Responsible Gaming: Enhancing platform security and player welfare through intelligent systems., • Data & Insights: Collaborate with data scientists and product teams to integrate AI models, manage data pipelines, and expose actionable insights through our platform dashboards., • Architectural Vision: Contribute significantly to the architectural design and technical roadmap of our platform, advocating for best practices, scalability, and performance., • Mentorship & Collaboration: Provide technical leadership, mentor junior engineers, conduct code reviews, and foster a culture of technical excellence within the team., • Problem Solving: Tackle complex technical challenges, debug issues across the stack, and ensure optimal performance and reliability of our systems. SKILLS, EXPERIENCE & QUALIFICATIONS • 5+ years of professional experience as a Full-stack Engineer, with a strong focus on React and Node.js., • Expertise in React.js, including Hooks, Context API, and modern state management libraries (e.g., Redux, Zustand)., • Strong proficiency in HTML5, CSS3, and modern CSS frameworks (e.g., Tailwind CSS, styled-components)., • Deep understanding of responsive design, cross-browser compatibility, and web performance optimization., • Proficient in Node.js and frameworks like Fastify., • Experience designing and implementing RESTful APIs and ideally GraphQL., • Solid understanding of database systems (SQL and NoSQL, e.g., PostgreSQL, MongoDB, Redis)., • Hands-on experience with cloud platforms (AWS and/or Azure)., • Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions)., • Applied AI Knowledge: Practical experience integrating and consuming AI/ML models within a production environment., • Familiarity with common AI/ML concepts (e.g., supervised/unsupervised learning, NLP, computer vision fundamentals)., • Experience working with AI APIs (e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models., • Understanding of data processing for AI/ML applications and data pipeline considerations., • Knowledge of Python for AI/ML scripting is a significant plus., • Strong grasp of software design patterns, data structures, algorithms, and clean code principles., • Excellent analytical and problem-solving skills, with a methodical approach to debugging and optimization., • Experience in the iGaming, sports, or entertainment industry., • Familiarity with Web3 technologies, NFTs, or blockchain., • Experience with real-time data processing (e.g., WebSockets, Kafka)., • Contributions to open-source projects or a strong GitHub profile., • Experience with A/B testing frameworks and analytics platforms. WHAT WE OFFER • Fully remote work – with occasional team get-togethers., • Private Healthcare., • Monthly working from home and gym membership allowance., • 24 days holiday plus bank/public holidays., • Workplace pension, • Perkbox access, • Be part of a team building engaging experiences for millions of sports fans globally., • Work with modern tech stacks and explore emerging fields like AI and Web3., • Opportunity to work on challenging and impactful projects that directly contribute to the Company’s success., • Join a supportive, collaborative and supportive team environment, that values creativity, autonomy and fun., • Opportunities for continuous learning and career growth in a rapidly expanding industry. ABOUT LOW6 Low6 is an award winning creator of iGames for sports rights holders, sportsbooks, consumer brands and media outlets. We make next-level games! We pride ourselves on being different. We think outside the box, and we innovate. Low6 is backed by big players in the sports, betting and gaming industries. Serious players who believe in our purpose and our vision. The results so far speak for themselves. We’ve raised considerable funding, we’re multi award winners and we’re working with the biggest and best brands in our industries! We’re a friendly yet unruly bunch, with a common passion. We’re disruptors. Our team are passionate about breaking the norm and we love trying new things. We learn fast and build on what we learn.

Platform Engineer Location: Gloucester, Manchester, London, (3 days on-site) Salary: £50,000 – £64,000 + highly competitive package Please note: You must be a sole British citizen and eligible for high-level Security Clearance (SC) to apply for this role. About the Company Our client is a leading technology and cyber intelligence organisation that delivers advanced digital solutions to protect the UK’s most sensitive information and systems. They work across defence, government, and national security sectors — building secure platforms, data systems, and cyber capabilities that safeguard national interests. About the Role We’re looking for experienced Platform Engineers to join a growing team delivering secure, mission-critical systems for UK Government and National Security projects. You’ll play a key role in designing, building, and deploying modern, high-quality platforms that enable innovation and resilience across complex technical environments. Working in multidisciplinary teams, you’ll use modern tools, automation, and engineering practices to create systems that are secure, scalable, and future-ready. This is a hands-on role for engineers who thrive on solving technical problems, collaborating with skilled teams, and seeing the tangible impact of their work. What You’ll Be Doing • Design, develop, and maintain Proof of Concept and Production systems., • Write clean, maintainable code using languages such as JavaScript, Java, .NET, or Python., • Manage and collaborate on codebases using version control (Git, Mercurial, or Perforce)., • Build and maintain CI/CD pipelines with tools such as Jenkins, Bamboo, TeamCity, or Bitbucket., • Ensure software quality through automated testing and analysis (e.g. SonarQube)., • Work within Agile delivery teams (Scrum, Lean, or Kanban)., • Apply design patterns and modern software practices to deliver maintainable, high-performing systems., • Use creativity and problem-solving to deliver innovative solutions for critical client needs. Desirable Skills (Not essential – training and support provided) • Cloud deployment and management experience (AWS or Azure)., • Familiarity with Machine Learning frameworks (TensorFlow, Azure ML, or Amazon ML)., • Containerisation and orchestration using Docker or Kubernetes., • Understanding of relational, document, or graph databases., • Experience with configuration management or deployment tools such as Ansible. Why Join • Contribute to projects that directly support UK Government and National Security., • Strong focus on professional development through mentorship and training., • Collaborative, inclusive environment that values technical excellence and innovation., • Hybrid working model with flexibility to balance work and life. This is a rare opportunity for a skilled Platform Engineer to take on meaningful, hands-on work in a secure and technically challenging environment — helping to shape the platforms that power critical national systems.

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you! What You'll Be Doing: • Automating Machine Learning workflows (training → deployment) with AWS & GitOps, • Deploying LLMs using Kubernetes & Docker, • Building infrastructure with Terraform & Helm, • Monitoring and maintaining ML models with performance alerts and dashboards, • Supporting CI/CD for ML pipelines, • Developing production-grade APIs (REST/gRPC) to serve models, • Collaborating with engineers, data scientists & DevOps teams Your Experience: • Industry experience in DevOps or MLOps roles (ideally in AWS environments), • Hands-on with Docker, Kubernetes, and Terraform, • Strong scripting skills in Python or Bash, • Familiar with ML lifecycle tools, model monitoring, and versioning, • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: • Experience with observability frameworks like Prometheus or OpenTelemetry, • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace, • Exposure to Azure or GCP, • Passion for financial services Requirements: • Degree in Computer Science, Engineering, Data Science or similar What We Offer • A collaborative and innovative work environment with awesome career growth opportunities, • 34 days holiday plus your birthday off (inclusive of bank holidays), • Share options – we believe in shared success, • Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do, • Remote and flexible working – remote, co-working spaces, or a mix of both, • Life insurance, income protection and private health care, • Freebies and discounts at a range of retailers, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. Summary We’re looking for a highly experienced Solution Engineer with deep knowledge of UK banking, enterprise-level integrations, and cloud architecture. You’ll sit at the intersection of technology, product, pre-sales, and customer implementation, designing and delivering solutions that bridge our AI platform with client environments. You’ll ensure solutions are not only technically excellent, but also secure, compliant, and optimised to deliver rapid time-to-value for our financial services clients. Key Responsibilities • Rapidly develop expertise in our platform capabilities, technical landscape, and customer needs, • Lead the design and architecture of secure, scalable, compliant solutions in UK banking and enterprise financial services environments, • Design/document integrations between internal systems and external banking platforms, • Ensure solutions meet FCA compliance, data protection, and risk management standards, • Work closely with product, engineering, sales, and customer teams to translate business needs into technical architecture, • Provide architectural oversight from design through delivery, • Contribute to multi-cloud architecture decisions (AWS, Azure, GCP), • Stay ahead of tech trends, regulations, and best practices to keep solutions future-ready What You’ll Bring • Proven experience in a Solution Engineer or similar role, ideally working with financial services customers, • Strong knowledge of enterprise integration approaches and multi-cloud environments, • Working understanding of FCA regulations and compliance needs, • Familiarity with AI solution deployment and how AI integrates into enterprise workflows, • Excellent communication and stakeholder engagement skills, • Ability to translate complex technical concepts for business and non-technical audiences, • Relevant certifications (AWS, Azure, TOGAF, CISSP) advantageous What We’re Looking For in You • A self-starter who thrives in fast-paced scale-up environments, • Someone who focuses on practical, fit-for-purpose solutions, • Skilled at balancing short-term delivery needs with long-term strategic goals, • Interested in AI/ML and its application in financial services, • Flexible to travel for client workshops What We Offer • A collaborative and innovative work environment with awesome career growth opportunities, • 34 days holiday plus your birthday off (inclusive of bank holidays), • Share options – we believe in shared success, • Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do, • Remote and flexible working – remote, co-working spaces, or a mix of both, • Life insurance, income protection and private health care, • Freebies and discounts at a range of retailers, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

Systems Engineer – BESS Modelling Ready to Make a Real Impact? Join e-STORAGE! Who We Are Welcome to e-STORAGE, a proud member of the Canadian Solar Inc. (NASDAQ: CSIQ) family! We’re leading the way in designing, building, and integrating advanced battery energy storage systems for utility-scale projects. Our mission? To accelerate the world’s renewable energy transition and create a more sustainable, resilient energy future for everyone. With our innovative SolBank lithium-iron phosphate battery technology and comprehensive project services, we’re not just building products we’re powering communities and making a difference worldwide. Role Overview for Systems Engineer – BESS Modelling The BESS Modelling department is responsible for developing and deploying advanced behavioural and control models to optimise the operation of Battery Energy Storage System (BESS) operations. As a Systems Engineer in the BESS Modelling Department, you will help with design and deployment of on-site compute and data infrastructure that enables these models to run on live BESS plants. You will bridge the gap between industrial control systems and modern data infrastructure, ensuring reliable, secure, and scalable data collection and orchestration between distributed edge servers and a central analytics environment as well as interfacing with cloud infrastructure such as AWS. Key Responsibilities Infrastructure Setup & Deployment • Design, configure, and maintain on-site compute infrastructure (edge servers, gateways, networking)., • Deploy containerized environments (e.g. Docker/Kubernetes) to host modelling and data processing workloads., • Implement robust and efficient communication and data synchronization between distributed edge nodes and a central cloud or on-premise server. Data Collection & Industrial Connectivity • Develop and manage data acquisition systems interfacing with plant control systems., • Integrate industrial protocols such as Modbus, OPC UA, MQTT, or equivalent. Ensure data integrity, timestamp accuracy, and consistent data flow from field devices to databases. System Orchestration & Monitoring • Build frameworks for managing and scheduling model execution (e.g. simulation, forecasting, diagnostics). Implement monitoring, logging, and alerting for edge compute environments., • Support the deployment and updates of new modelling scripts or container images on site. Collaboration & Support • Work closely with data scientists and modelling engineers to understand compute and data requirements., • Collaborate with site commissioning teams and control engineers to ensure safe integration into existing plant systems., • Provide documentation, training, and troubleshooting support for deployed systems. Required Skills and Experience Technical • Strong understanding of industrial data acquisition and control systems (PLC/SCADA interfaces, Modbus TCP/RTU, OPC UA, etc.)., • Experience with edge computing or distributed system design., • Proficiency in Linux administration, Docker, and network configuration., • Familiarity with Python or scripting languages for automation and data handling., • Experience with databases (e.g. TimescaleDB, InfluxDB, or PostgreSQL) and data orchestration tools., • Understanding of industrial cybersecurity principles and safe plant integration. Desirable • Exposure to AWS / Azure IoT / Greengrass / Kubernetes or other relevant orchestration frameworks. Experience working with time series data pipelines. Knowledge of BESS operations, power systems, or renewable energy controls., • Previous experience with edge-to-cloud data architectures. Soft Skills • Strong problem-solving and hands-on approach to technical challenges., • Comfortable working in operational environments (industrial or energy)., • Collaborative mindset and ability to translate between modelling, DevOps and controls engineering teams., • Ability to present and communicate complex topics with broader audiences and multi disciplinary teams., • Strong ability to document to a high quality level to enable effective knowledge capture and transfer. Qualifications • Bachelors degree (or higher) in Electrical Engineering, Computer Engineering, Mechatronics, or related discipline., • 3+ years experience in industrial automation, OT/IT integration, or distributed systems engineering What It’s Like to Work Here At e-STORAGE, you’re more than just an employee—you’re part of a team that values your ideas, your background, and your unique perspective. We believe that a culture of equity, diversity, and inclusion isn’t just the right thing to do—it’s the secret to our success. Here, you’ll find: • Integrity: We do what’s right, always., • Innovation: We encourage fresh thinking and bold ideas., • Quality: We take pride in delivering excellence, every time., • Customer Focus: We listen, we care, and we deliver., • Sustainability: We’re passionate about protecting our planet for future generations. Why You’ll Love Working With Us • Join a global leader in renewable energy, backed by over 23 years of Canadian Solar experience., • Work on projects that matter—helping to build a cleaner, greener world., • Thrive in a supportive, collaborative environment where your growth is our priority., • Enjoy a competitive salary and a generous benefits package. Want to join ? Here is what we are looking for • The right mix of education, experience, and skills for the role., • Great communication, teamwork, and problem-solving abilities., • A true commitment to safety, ethics, and sustainability. Your Rewards We offer a competitive salary, performance bonuses, and a comprehensive benefits package—including health coverage, retirement plans, paid time off, and more. Our Commitment to Equality & Diversity “At e-STORAGE, we know that diverse teams drive innovation and better results. We’re committed to creating a workplace where everyone feels respected, valued, and empowered—regardless of age, race, gender, ability, or background. When you join us, you’re joining a community that celebrates your uniqueness and supports your success.” — Libby, Sr. Global HR Manager

Senior Sales Engineer EMEA - Series B $100M Funded Gen Ai Vendor Location: Remote Status: Full-time Department: Sales Engineering About the Company Our client is a leading provider of AI and Agent Engineering observability and evaluation solutions. As generative AI reshapes industries, this company empowers teams to monitor, troubleshoot, and optimize their AI systems with confidence. Their platform unifies the entire AI lifecycle—from build and test to deployment and monitoring—helping engineering teams deliver reliable, high-performing applications at scale. Backed by strong funding and trusted by global enterprises, the company is growing rapidly as organizations embrace the next generation of AI technologies. Competitive OTE's plus benefits and equity on offer. The Opportunity The engineering team builds advanced systems that interact with some of the most complex AI software in production. Comprising experienced professionals from diverse technical backgrounds, the team now seeks an Sales Engineer to help scale adoption of their cutting-edge platform across the machine learning community. In this role, you will collaborate closely with Account Executives to communicate the value of the platform, guide technical evaluations, and drive proof-of-concept engagements from requirements gathering through to completion. One day you might be presenting to a Chief Data Officer, and the next, hands-on developing a demonstration model to showcase the platform’s capabilities.# Key Responsibilities • Act as a trusted technical advisor to customers and prospects., • Build relationships with technical stakeholders and decision-makers., • Lead product demonstrations and discovery sessions to understand client ML environments., • Collaborate with Sales to develop compelling value propositions tailored to client needs., • Address technical objections and coordinate with internal engineering and product teams to resolve challenges., • Create educational content such as blog posts, documentation, and recorded assets on AI/ML topics., • Engage with machine learning communities to share insights and best practices for deploying AI in production. What We’re Looking For Communication Skills: • Ability to simplify and clearly articulate complex technical concepts., • Strong empathy and adaptability to different audiences and technical levels. Technical Curiosity and Agility: • Eager to learn and navigate the intricacies of production ML systems., • Comfortable operating in ambiguous or rapidly evolving environments. Machine Learning Knowledge: • Solid understanding of core ML concepts (e.g., regression, boosted trees, model evaluation)., • Hands-on experience with common ML libraries such as scikit-learn, HuggingFace, or fastai. Experience: • 5+ years in a customer-facing technical role (pre-sales, consulting, or technical account management)., • Proven track record engaging enterprise-level clients (e.g., Fortune 500 organizations). Technical Skills: • Proficient in Python and Linux/Unix environments. Nice to Have: • Experience working across Sales, Product, and Engineering functions., • Exposure to high-growth tech environments., • Background in Data Engineering, MLOps, or cloud technologies (AWS, GCP, Azure, Kubernetes).