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KEY SKILLSDEVOPS ENGINEER, DEVOPS, SITE RELIABILITY ENGINEER, PLATFROM ENGINEER, PLATFROM, CLOUD, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED, SC CLEARANCE, NSD. PRINCIPAL DEVOPS ENGINEE

We are looking for a technically capable and detail-oriented Engineer to join our sales and support team for a well-known Security Integrator . You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Our systems provide critical infrastructure for physical and electronic security solutions, so reliability, responsiveness, and attention to detail are essential. You’ll work closely with development, security, and infrastructure teams to ensure uptime, resilience, and ongoing improvement of our platform. Key Responsibilities: Provide support for cloud-hosted production and staging environments used in electronic security platforms. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Respond to and resolve incidents, working to minimize downtime and ensure high system availability. Investigate system performance, log anomalies, and service issues, escalating when appropriate. Collaborate with DevOps and software engineering teams to implement improvements and automation. Maintain thorough documentation of system configurations, processes, and known issues. Assist in system upgrades, patching, and performance tuning. Support security compliance and auditing activities where applicable. Participate in an on-call support rotation. Required Skills & Experience: 2+ years of experience in a technical support, DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/ Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission-critical systems (security, IoT, or similar sectors). Familiarity with log aggregation, monitoring, and alerting tools (e.g., ELK, Prometheus, Grafana). Good understanding of networking, VPNs, load balancing, DNS, and firewalls. Comfortable with Git and CI/CD workflows. Excellent troubleshooting skills and structured problem-solving approach. Strong written and verbal communication skills. Desirable / Nice to Have: Experience with Microsoft Azure cloud services. Background or familiarity with electronic security systems, access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/CD pipelines and automation tools (e.g., GitHub Actions, Jenkins). Exposure to monitoring tools like Prometheus, Grafana, or ELK stack. Experience supporting enterprise customers in a B2B SaaS or software product company. Experience with access control and intrusion detection systems. Familiarity with virtualization technologies (e.g., VMware, Hyper-V). Knowledge of database systems (e.g., PostgreSQL, MS SQL). Relevant industry certifications (e.g., CompTIA Network+, Security+, CCNA). Experience providing technical training to end-users. Required Qualifications: Experience: 3+ years in a technical support, DevOps, or systems engineering role. Hands-on experience with Docker, docker-compose, and container lifecycle management. Experience supporting or integrating MinIO or similar S3-compatible object storage. Technical Skills: Familiarity with advanced networking concepts and protocols (TCP/IP, DNS, DHCP, VLANs, routing, proxies, firewall configuration, etc.). Strong Ubuntu Linux system administration and troubleshooting skills. Proficient in working with CLI tools and analyzing logs. Experience with storage solutions, volume mounts, and container data persistence. Soft Skills: Excellent communication skills for dealing with technical and non-technical users. Problem-solving mindset with attention to detail. Excellent troubleshooting and problem-solving skills with a logical and methodical approach. Ability to manage multiple priorities and respond promptly to issues. Mayflower is acting as an Employment Agency in relation to this vacancy.

MLOps Engineer - £100K - Fully Remote Our client is a leading software as a service (SaaS) company, building cutting-edge solutions for trading, egaming and payments all over the world. Offering fully remote working, they’re looking to hire an MLOps Engineer. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps (Kubernetes especially), MLOps and Security. Requirements: • Proven Machine Learning and MLOps experience, • KubeFlow exp would be ideal, • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc, • Solid DevOps experience - Kubernetes, Observability, IaC, CI/CD etc, • Coding skills using Python, Ruby, Perl etc, • Strong understanding of software development, modern tech and frameworks, • Solid Linux knowledge Tech / Tools you’ll be working with (some of them!) • Kubeflow, • Spark / MLlib / Tensorflow / PyTorn, • REST / FastAPI, • Docker / Kubernetes, • Terraform / Ansible, • GitOps, • Python / Bash

DevOps Engineer - MLOps - Fully Remote Our client is a leading tech consultancy and software development firm. Offering fully remote working, working on a range of egaming, trading and payments projects they’re looking to hire an MLOps Engineer with great DevOps / Platform knowledge and exp of KubeFlow and Kubernetes. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps, MLOps and Security. Requirements: • Proven MLOps experience, • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc, • Strong DevOps experience - Kubernetes, IaC, CI/CD etc, • KubeFlow and Machine Learning exp, • Coding / scripting skills, • Good, overall, understanding of software development, modern tech and frameworks, • Solid Linux knowledge can't hurt! Tech / Tools you’ll be working with (some of them!) • Kubeflow, • Spark / MLlib / Tensorflow / PyTorn, • REST / FastAPI, • Docker / Kubernetes, • Terraform / Ansible, • GitOps, • Python / Bash

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As we continue to expand, we are seeking a Data Platform Engineer who will play a key role in building and supporting our internal data infrastructure. The ideal candidate will have strong programming and DevOps skills, expertise in Python and AWS, and a passion for debugging and improving data processes. This role requires collaborative problem-solving, a keen attention to detail, and the ability to translate complex business requirements into robust data solutions. The Role: You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Amazon Web Services (AWS) technologies such as Lambda, SageMaker and Bedrock to develop innovative and scalable data solutions. RealityMine has an out of hours on-call team (additional compensation is made for on call hours) that you will be asked to join after a suitable settling in period. Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Key Responsibilities: · Proactively identify opportunities to improve the data platform, including the performance, architecture and design, and take ownership of the implementation. · Continually review and measure the performance of the data platform and evaluate improvements in design, architecture and tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape defined requirements before implementation. · Take ownership of production systems, independently investigating issues, identifying root causes and driving them through to resolution. · Writing application code and tests that conform to standards, with a focus on scalability. · Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: Here’s what we’re looking for: · Python development experience as a Data or Platform Engineer, using AWS. · Analytical skills to be able to present decisions to stakeholders in a data driven way. · The ability to problem-solve and break down complex problems, whilst working on large and complex datasets. · Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications. · Good interpersonal skills, positive attitude and willing to help other members of the team. · Experience provisioning and managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance productivity and quality. Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave. · Peace of Mind: Life assurance and a workplace pension with employer contributions. · Reward for Performance: Bonus scheme that recognizes your hard work and contributions. · Cycle to Work Scheme: For the cyclists among us, we've got you covered. · Gear You’ll Love: Choose the tech that works for you, we'll try and source it! · Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities and making a positive impact. Hybrid Working We know work-life balance matters, so we’ve embraced a flexible hybrid working model: · Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues. · Free parking and secure bike shed. Excellent public transport links. · Split your time between the office and home, with 2 days working in our offices. · Full equipment provided for home working (desk, screen, chair). · Receive £100 annually to personalise your home workspace. · Flexible start and finish times to suit your personal circumstances. If you’re a Data Platform Engineer professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Data Platform Engineer’ to

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 Senior 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 • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. 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!

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

Code Wizards Group is a world leader in backend and multiplayer infrastructure for the gaming industry. From high-scale AAA console and PC games to fast-paced mobile indie titles, we empower studios to bring multiplayer experiences to life. Within the Group lie Multiplayer Wizards, whose sole responsibility is to help game studios to run and operate their game infrastructure seamlessly for the players. We're on the search for some Contract DevOps Engineering talent to join the team working on some specific game migration work. Are you a highly productive DevOps Engineer, looking to use your wealth of games industry knowledge and your technical DevOps skills to help keep games online and running, whatever challenges are thrown at you? In this role, you will use your skills to help educate others in the team and act as an escalation point for head-scratching problems. Incidents are no problem, and you are happy to pick up and run with an outage, working with internal teams and the customer to keep the game infrastructure online. DUTIES AND RESPONSIBILITIES • Diagnosing and performing root cause analysis on customer infrastructure, including in incident scenarios, • Proactively identify and raise methods of improving team efficiency and procedures to improve support to the customer, • Assisting with escalated issues and navigating scenarios across multiple teams, • Writing clean, scalable, and performant scripts & code, • Forming part of a regular on-call rotation supporting our customers and internal teams SKILLS AND EXPERIENCE • Experience working in the gaming industry having migrated a live service game in production., • Knowledge of backend systems for online games and ideally exposure to game engines, Unity, Unreal etc., • An excitement to expand your knowledge on unfamiliar infrastructure and tools, • Automation knowledge on a wide variety of tools – Ansible, Terraform, Grafana, and Kubernetes, etc., • Prior experience migrating a game from one Cloud provider onto AWS, • Excellent knowledge of containers, virtual machines and Linux server administration, • Demonstrable experience in programming or personal code-based projects. Please note, initially, we will be looking at people with knowledge of the Games Industry.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

!! IMMEDIATE JOINERS !! Senior Java Software Developer Location: Bournemouth / Glasgow Work Mode: On-site Job Type: Full-time The Role We are looking for a Java Full Stack Developer who A Java Developer (2-5 years experience) designs, codes, tests, and maintains scalable Java applications, collaborating with teams, debugging issues, and using frameworks like Spring/Hibernate, focusing on clean, efficient, object-oriented code, participating in the full SDLC. You will be a key player in our agile squad, responsible for the end-to-end delivery of scalable web applications. What You’ll Do (Responsibilities) • End-to-End Development: Design and develop high-volume, low-latency applications for mission-critical systems., • Back-End Excellence: Write clean, maintainable code using Java and the Spring Boot ecosystem., • Front-End Innovation: Build responsive, user-friendly UI components using React, Angular, or Vue.js., • Database Management: Design and optimize schemas for relational (PostgreSQL/MySQL) and NoSQL databases., • API Design: Build and consume secure RESTful APIs to integrate with internal and third-party services., • Collaboration: Participate in code reviews, sprint planning, and daily stand-ups to ensure high-quality software delivery., • Strong understanding of Object-Oriented Programming (OOP) principles. What We’re Looking For (Requirements) • Experience: [Number] years of professional experience in Java-based software development., • Java Knowledge: Hands on experience of Core Java, Multithreading, and Spring Framework (Boot, Security, Data JPA)., • Modern Web Stack: Proficiency in HTML5, CSS3, and JavaScript/TypeScript., • Cloud & DevOps: Familiarity with AWS, Azure, or GCP and containerization tools like Docker/Kubernetes., • Tools: Expert knowledge of Git, Maven/Gradle, and CI/CD pipelines (Jenkins/GitLab CI). Nice-to-Haves • Experience with Microservices architecture., • Knowledge of Kafka or RabbitMQ., • Relevant AWS or Java certifications.

Data Engineer • Salary up to £60,000 + discretionary bonus, • Hybrid working model with collaborative office environment, • Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data Engineer to join an established organisation at the forefront of building modern, data-driven platforms. The business is investing heavily in its data ecosystem and is focused on delivering real-time insights and trusted analytics that support teams across product, finance, marketing, and compliance. This is an excellent opportunity to work with modern cloud data technologies and play a key role in shaping a scalable, secure, and high-performance data platform. WHAT WILL YOU BE DOING? As a Data Engineer, you will design, build, and optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering teams, you will help deliver high-quality, governed data that supports analytics, reporting, and operational decision-making. You’ll also play a key role in enabling business intelligence through high-performance data models and integrations with reporting tools. You’ll monitor and optimise pipeline performance, implement CI/CD processes for data workflows, and maintain strong governance and security standards across the data platform. Documentation, observability, and cost optimisation will also form part of your responsibilities as you contribute to the ongoing development of the organisation’s data ecosystem. OUR BENEFITS: • Competitive basic salary, • Discretionary bonus scheme, • Company shares option plan, • Contributory pension scheme, • Life insurance (4x basic salary), • Health cash plan, • Generous holiday allowance including bank holidays, • Study support and clear progression opportunities, • Employee assistance programme available 24/7, • Collaborative office environment with regular social and charity events, • And Much More!!! DATA ENGINEER – ESSTENTIAL SKILLS • Strong experience with Databricks and Apache Spark (PySpark or Scala), • Experience building streaming and batch pipelines using Spark Structured Streaming, • Hands-on experience with Kafka (MSK) and real-time data ingestion, • Strong understanding of Delta Lake, Delta Live Tables, and Medallion Architecture, • Solid AWS experience including services such as S3, Glue, Lambda, Batch, and IAM, • Proficiency in Python and SQL for data engineering and analytics, • Experience implementing CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps), • Strong Git and version control practices, • Experience tuning and optimising Spark workloads TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data

Senior DevOps Engineer – AWS Platform (Hands‑On) Manchester | On‑site Modern AWS | Built from scratch | No legacy A high‑growth tech organisation in Manchester has built a fully modern AWS platform and is now looking for a hands‑on Senior DevOps Engineer to help operate, improve, and scale what’s already been designed by a very technical Head of DevOps. This is not an architect or manager role, this is proper platform engineering. What you’ll be working on -Day‑to‑day ownership of a multi‑account AWS environment -Working with ECS, ECR, VPC, Transit Gateway, IAM, Secrets Manager, NLB/ALB -Supporting a self‑hosted ELK stack on ECS (Elasticsearch, Logstash, Kibana, Beats) -Managing log pipelines, cross‑account shipping & auto‑scaling -Enhancing a live data workflow: Aurora → S3 (Parquet) → Snowflake via AWS DMS -Making the platform more automated, more reliable & more scalable Who this role suits -Strong AWS engineer (not a manager, not an architect) -Loves solving deep technical problems -Happy owning big chunks of a platform -Confident with Terraform, Docker & automation -Comfortable with observability (CloudWatch, ELK, etc.) -Curious, proactive, and able to take initiative Why it’s a great opportunity -Everything is modern — no legacy anywhere -Platform already built — you focus on making it better -Work with a highly skilled, hands‑on Head of DevOps -Massive technical autonomy -Real impact in a small senior team If you want to work on real AWS platform engineering — and help scale a multi‑account, containerised, fully observable, data‑driven cloud environment — drop me a message.

Company Description AI agents are becoming autonomous - they execute code, call APIs, and make decisions without human oversight. An adequate security approach to govern them doesn't exist yet. We're building it. Our founding team created Sigstore, the open-source signing standard now used by npm, PyPI, Kubernetes, and other critical infrastructure. We're applying that same thinking to agentic security: execution boundaries, immutable attestation, and dynamic capability management for AI agents. This is a UK based role, but we may consider hiring from Europe and the US East Coast for exception candidates. What You'll Do • Contribute directly to the Nono open source project - code, documentation, and architectural proposals., • Experiment with different deployment architectures for Nono across cloud environments, on-premise infrastructure, and hybrid setups and share your findings with others at Always Further, and often with the community, via our blogging platforms or YouTube channel., • Work closely with early design partners to integrate Nono into proof-of-concept and pilot programmes, gathering feedback and translating it into engineering priorities., • Support pre-sales and post-sales engineering conversations with tier-1 enterprise organisations., • Produce technical content - blog posts, architecture guides, demos - that helps users and customers get the most out of Nono. What We're Looking For • AI engineering experience. You understand how modern AI/ML workloads are built, deployed, and orchestrated. Familiarity with agent frameworks and LLM-based systems is a strong plus., • Rust and Python proficiency. You don't need to be a language lawyer in either, but you should be comfortable reading, writing, and reviewing code in both. Rust experience is especially important for contributing to Nono's core, while Python is often used for tooling, research integration, and customer-facing scripts., • DevOps and cloud fluency. You've worked with container orchestration, CI/CD pipelines, and at least one major cloud provider (AWS, GCP, Azure) and some familiar with others.. Infrastructure-as-code is a strong point., • Security background. Understanding of host isolation, sandboxing, and supply chain security is highly valued. If you've worked on container security, VM isolation, or trusted execution environments, even better., • Open source experience. You've contributed to or maintained popular open source projects and understand how healthy communities operate - governance, code review culture, release processes, and community engagement., • Strong communication skills. You're equally comfortable in a GitHub issue thread with community contributors and in a room (or on a call) with enterprise architects and CISOs. Nice to Have • Background in systems programming, low-level Linux, or virtualisation technologies., • Strong hands on architectural knowdledge of how to deploy and operate complex distributed systems in production., • Familiarity with AI agent security challenges - prompt injection, tool misuse, data exfiltration, lateral movement., • Previous experience in a solutions engineering, or field engineering role at a startup or open source company. Why Join Always Further • Foundational impact. You're not joining a team — you're building one. Your architectural decisions become the product., • Foundational Stake & Compensation. As an early foundational hire at a pre-seed company, you will receive a highly competitive equity stake designed to reward early risk-taking and outsized impact, paired with a pre-seed base salary., • Remote, UK preferred. We're UK-based but open to exceptional candidates wherever they are. We provide flexible working built on trust and ownership., • Interested? Send us your CV along with your GitHub profile that links to any relevant open source contributions, blog posts, or projects. A short note on why this role interests you goes a long way.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

The Setup: A high-growth agile unit within the global STARLIMS ecosystem. STARLIMS provides leading Laboratory Information Management System (LIMS) solutions that have served customers around the world for over 30 years. Our solution suite helps labs: • Improve the reliability of sampling and testing, • Manage complex testing workflows and analytical methods, • Support compliance with global regulatory requirements and industry standards The Role: Architect, Mentor, & AI Pioneer We are looking for a Senior Architect/Lead Developer to take complete ownership of the Labstep platform. You will be the primary decision-maker for our architecture, moving us from a robust data tool to an AI-augmented powerhouse. The Opportunity: The Best of Both Worlds Labstep was founded to build user-centric software that accelerates scientific discovery. Recently, we joined forces with STARLIMS, a global leader in Informatics. What this means for you: You get the high-impact, fast-moving "Day 1" culture of a startup where you own the entire tech stack, backed by the job security, comprehensive healthcare, and professional benefits of a major global organization. • Complete Technical Autonomy: You own the AWS-based stack (Pulumi, ECS, Fargate). You decide the "how" and the "when" for every major architectural shift., • Lead the AI Roadmap: You will architect our AI Search and Natural Language Agent. We want a pragmatic engineer who can lead the implementation of LLMs and Vector Databases to help scientists automate complex tasks., • Mentorship & Team Lead: You will work closely with a Technical Product Manager and mentor a Junior Developer, setting the standard for engineering excellence and clean code., • DevOps Excellence: Managing our infrastructure via Pulumi to ensure the high-availability and security standards required by global research institutions. The Tech Stack: We believe in using the right tool for the job. You will manage the current foundation while evolving it: • Current Core: PHP 8 / Symfony / Doctrine API, React / TypeScript Frontend., • Cloud/Infra: AWS (Fargate, ECS, Lambda), Pulumi (IaC), MySQL., • The Frontier: This is your domain. You will lead our transition into Vector Search, Hybrid Search Engines, and AI Orchestration. Who You Are: • A Technical Owner: You’ve scaled production web apps and are comfortable across the full stack and infrastructure., • Pragmatic AI Enthusiast: You don't need a background in AI, but you are excited to build production-ready AI features (RAG, Agents) that solve real problems., • Empathetic Mentor: You enjoy leveling up junior talent and collaborating deeply with product peers., • Mission-Driven: You want your work to help scientists cure diseases and solve global challenges. Skills Required: • 5+ years of leading development teams, • 5+ years of leading architect, • 5+ Years of AWS DevOps experience, • Experience coding with the following languages/technical solutions - PHP 8 / Symfony / Doctrine API, React / TypeScript Frontend Why Labstep & STARLIMS? • Impact: Your code directly supports the world’s leading scientists and researchers., • Stability & Perks: Enjoy the comprehensive benefits package of a large corporation—including private healthcare, pension, and enhanced job security—without the corporate red tape., • The "Startup" Feel: We remain a small, agile team that moves fast, experiments often, and values your voice., • Work-Life Balance: Remote-first flexibility with meaningful monthly in-person collaboration in London. STARLIMS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

Iron Mountain is seeking a skilled and motivated DevOps Engineer to join our global information management team in UK (100% remote). In this role, you will be responsible for providing critical technical support for applications and hardware, managing our observability strategy, and ensuring the global delivery and performance of our services. You will collaborate closely with network services, software engineering, and development teams to maintain a highly reliable and scalable environment. What You'll Do (Responsibilities) In this role, you will: • Design and Automate Infrastructure: Build and maintain cloud infrastructure on AWS, GCP, or Azure, utilizing tools like Terraform, Ansible, or CloudFormation to automate provisioning., • Optimize CI/CD Pipelines: Develop and manage continuous integration and deployment pipelines using Jenkins, GitLab, or ArgoCD to streamline software delivery., • Enhance Observability: Implement monitoring and logging systems (Prometheus, Grafana, Datadog) to define alerts, dashboards, and log-based metrics that improve application availability., • Lead Incident Management: Respond to real-time outages, perform root cause analysis, and participate in on-call rotations to ensure rapid service restoration., • Ensure Application Sustainment: Oversee the full lifecycle of critical applications, including upgrades, patching, and scaling services to meet global demand while maintaining strict SLOs., • Drive Reliability and Security: Implement self-healing systems, disaster recovery strategies, and security best practices, including regular vulnerability patching and audits. What You'll Bring (Skills & Qualifications) Specific requirements: • Must have UK passport, be UK based for more than five consecutive years and able to obtain Security Clearance The ideal candidate will have: • Previous experience as DevOps Engineer with focus on SRE Engineer., • Strong technical expertise in managed Kubernetes services and cloud networking concepts (VPC, DNS, Load Balancers, and TCP/IP)., • Proven ability in complex troubleshooting using debugging tools like tcpdump or strace and log aggregation tools like the ELK stack or Splunk., • Software Development skills in Python, Java, or .Net, along with experience developing scalable microservices and REST APIs., • A Bachelor's Degree in Computer Science, Engineering, or a related field., • Preferred Certifications: Scrum Master, PMP, or Agile SAFe certification. What We Offer (Benefits): • Location: England (100% remote)., • Competitive Compensation: Salary and benefits aligned with your professional experience., • Work-Life Balance: Flexible work options and alternative arrangements to support your personal needs., • Health & Wellness: Comprehensive health, wellness, and retirement plans., • Growth Opportunities: Access to continuous learning and professional development to accelerate your career. Ready to join the team? Apply Today! Do not miss the chance to join a global leader in storage and information management services.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

About the role: This is an exciting opportunity for a forward-thinking and innovative cloud engineering lead to join ROCK. The Principal Cloud & AI Engineer is a highly technical, hands-on role that provides both deep engineering expertise and architectural guidance as we embark on scaling our AWS and Azure services portfolio. The role requires leadership qualities to be able to coordinate and mentor engineers and delivery partners within the team. This individual will be directly responsible for designing, building, and optimising scalable, secure, and resilient cloud solutions. The role also offers the successful candidate to take a leading role in the definition and implementation of tooling, CI/CD pipelines operational processes, automation, and security practices to ensure ROCK’s cloud deployments are robust, efficient, and financially well-managed. Alongside daily engineering responsibilities, the Principal Cloud Engineer will shape technical best practices, drive continuous improvement, and mentor engineers, fostering a culture focused on growth, learning, and innovation that supports ROCK’s ambition to become an AWS Premier Partner. The role is instrumental in building and scaling the professional services and the operational cloud team, supporting the evolution from a single customer pod model to multiple delivery teams. A flavour of what you will be doing: Technical Solution Leadership • Provide hands-on leadership in designing, prototyping, deploying scalable solutions and PoCs across AWS, and ideally Azure., • Lead modernisation and migration of complex workloads, particularly Windows environments, to modern cloud platforms., • Architect secure, scalable, and cost-optimised cloud-native environments aligned with well-architected principles., • Act as technical SME, supporting presales initiatives and aligning technical solutions with client business goals., • Serve as technical design authority for AWS, guiding team architectural standards and decision making., • Support the delivery of AI/ML and Gen AI proof of concepts, leveraging cloud-native services. Cloud Strategy, Automation & Governance • Develop and refine cloud landing zones, infrastructure-as-code, and automation strategies across cloud platforms., • Lead the design and standardisation of CI/CD pipelines and GitOps practices across teams., • Support the review of migration readiness and modernisation assessments, using frameworks such as 7Rs., • Standardise tooling, and governance to improve technical efficiency and consistency across teams., • Stay current with and integrate emerging technologies (AI, ML, serverless) to maintain technical edge. People Leadership & Team Development • Provide technical mentoring for cloud excellence, focusing on best practices, CI/CD and operational excellence., • Foster continuous learning through knowledge sharing, peer mentoring, and structured training., • Drive adoption of standardised operating procedures while encouraging innovation and improvement. What we need: • Proven experience in implementing and designing cloud solutions in AWS (currently holds or is willing to pass AWS Certified Solutions Architect Professional or DevOps Engineer Professional)., • Must have experience in Windows migration to AWS, Workspaces and monitoring and security services., • Extensive experience with landing zone development using Terraform IaC, CI/CD and git and GitOps., • Providing technical delivery experience and leadership through large complex projects and migrations., • Significant expertise in building AWS solutions, Azure experience, preferable but not essential., • Background in hybrid / on-premises integration (VMware, networking, storage), • Experience in supporting Cloud Operations / managed services., • Experience in delivering AI/ML and gen AI PoC’s advantageous. The ideal candidate: • Exemplary background in designing in AWS with AWS Pro certification. Azure certifications are also advantageous., • Continuous innovator, ability to support the success and implementation of new services and repeatable packaged solutions., • Strong leadership and communications skills with the ability to inspire., • Deep understanding of cloud operations frameworks, including well architected., • Exceptional communication skills for engaging both technical teams and non-technical stakeholders. This is an truly exciting opportunity as mentioned, to work across multiple projects and help define tooling as part of a fully remote and growing team. If interested, please apply or reach out to Jack directly!

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

Job Title: Principal DevOps Engineer II Industry: FinTech / Payments Technology Location: United Kingdom (Fully Remote) Salary: Up to £125,000 base + 9% bonus Type: Permanent, Full-time A rapidly growing global payments technology organisation is looking for a Principal DevOps Engineer II to help define and scale its enterprise DevOps platform. This is a senior technical leadership role focused on architecting and evolving the engineering delivery platform that supports both cloud and on-premise environments. You’ll work closely with engineering leadership, security teams, and developers to design scalable CI/CD architecture, improve developer experience, and implement platform standards across the organisation. This role offers the opportunity to make a significant impact by driving automation, improving delivery performance, and shaping DevOps culture across a modern engineering environment. The Role: • Define and own the architecture of the organisation’s engineering delivery platform, covering CI/CD pipelines, artifact management, secrets management, and infrastructure provisioning., • Lead the migration and implementation of GitHub Enterprise and GitHub Actions, building reusable workflow frameworks and enforcing automated security and quality gates., • Architect and manage secrets and credential management strategies using HashiCorp Vault., • Develop and manage artifact repository strategies, including promotion pipelines, vulnerability scanning integration, and multi-language ecosystem support., • Drive Infrastructure as Code adoption using Terraform and configuration management through Ansible to enable fully automated environments., • Establish containerisation standards using Docker and Docker Compose to support consistent development and production environments., • Manage Cloudflare infrastructure including DNS lifecycle automation, WAF rules, and Zero Trust access policies., • Improve developer experience by building standardised pipeline frameworks that accelerate service delivery and reduce time-to-production., • Champion self-service and inner-source practices, creating shared tooling, documentation, and pipeline libraries for engineering teams., • Implement delivery metrics and dashboards to monitor deployment frequency, lead time for changes, and platform performance., • Provide technical leadership across engineering teams, identifying systemic delivery challenges and implementing scalable solutions., • Mentor senior engineers and contribute to raising DevOps standards through technical design reviews, documentation, and knowledge sharing. Skills Needed: • 12+ years of hands-on technical experience with strong foundations in software engineering and DevOps practices., • Proven experience delivering organisation-wide platform initiatives such as CI/CD architecture redesigns or DevOps platform migrations., • Strong coding ability in a statically typed language such as C# or Java., • Expert experience with GitHub and GitHub Actions including reusable workflows and automated pipeline frameworks., • Advanced Terraform expertise including module design, remote state management, and infrastructure policy enforcement., • Strong experience with configuration management tools such as Ansible., • Strong experience with HashiCorp Vault for secrets management and security integration., • Deep containerisation expertise using Docker and modern image optimisation practices., • Experience managing artifact repositories and CI/CD integration across multiple programming ecosystems., • Experience delivering infrastructure across cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and on-premise environments., • Strong understanding of DevOps security practices including SAST, dependency scanning, container security, and supply chain security., • Excellent communication and technical leadership skills. Benefits • Fully remote working (UK-based), • 5 days paid holiday plus bank holidays, • £5,000 annual certification and professional development budget, • £60 per month work-from-home allowance, • Private healthcare, • Additional benefits and performance-based incentives Research indicates that men will apply to a role when they meet only 50–60% of the requirements, while women and other underrepresented groups often look for a 90–100% match. If this role excites you but you don’t tick every single box, please still apply. We’d love to hear from you.

Job Title - Senior Golang Engineer Rate - Competitive (Outside IR35) Location - Remote from UK & Europe Role Overview The Senior Backend Engineer will play a key role in building and scaling robust backend systems for a high-growth, multi-region platform. This position focuses on developing resilient, high-throughput services within a distributed, event-driven environment, supporting critical domains such as payments, accounts, and transaction processing. Core Responsibilities • Design, develop, and optimise backend services using Golang., • Build scalable, fault-tolerant microservices within a distributed architecture., • Develop and maintain RESTful APIs and internal service-to-service communication layers., • Work across core platform areas including payments, accounts, ledger, and risk/compliance systems., • Ensure code quality through peer reviews, testing, and adherence to engineering best practices., • Monitor and support live systems, troubleshooting and resolving production issues., • Collaborate closely with cross-functional teams including Product, DevOps, and Compliance. Required Experience • Strong hands-on experience developing backend services in Golang., • Solid understanding of concurrency, system performance, and efficient resource management., • Proven experience designing and building microservices and distributed systems., • Experience working with containerisation and orchestration tools such as Kubernetes., • Familiarity with cloud platforms (AWS, GCP, or Azure)., • Previous experience in fintech, regulated environments, or high-transaction systems is highly desirable. If this is of interest then please apply, we would love to hear from you!

Platform Engineer with key skills in AWS, Kubernetes, Docker and back end services (Python, node, Go etc) is sought on a remote basis by a high growth FinTech. Working at the forefront of B2B Saas financial security this Platform Engineer will be working with a close-knit technical team to monitor, manage and improve business critical applications and infrastructure with the aim of facilitating improvements in application deployment & scalability. This role would suit a DevOps or Platform Engineer with a solid background in software engineering and infrastructure who can bring experience working with the latest automation and config management tooling to create a fully automated deployment environment. In return this Platform Engineer can expect a dynamic, engaging, R&D driven culture with extensive progression opportunities and the chance to own the platform functionality of this high growth business. This Platform Engineer should have most of the following key skills: - Strong experience in owning scalability ideally within a product lead environment - Solid back end services experience - Go, Python, node etc) - IAC experience - Terraform, Ansible, Redhat etc - AWS exposure - Strong containerization experience - Docker, Kubernetes - Basic VM management experience - Experience delivering new tooling for infrastructures - Rational database exposure - Postgres, MySQL etc - An agile, flexible personality who feels comfortable working in a ...

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

Site Reliability Engineer (Security Cleared) • 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). 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 JBRP1_UKTJ

AWS Cloud Engineer Location:Manchester (hybrid, - 3 days onsite) Salary:From £40,000 (depending on experience) + £7,000 bonus NOTE:Candidates must be eligible for UK DV clearance We are seeking an experienced AWS Cloud Engineer to join a high-impact team delivering mission-critical projects. You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. What You'll get the opportunity to work on as a Cloud Engineer: • Design and implement cloud infrastructure and platform solutions in AWS, • Build and maintain CI/CD pipelines to streamline delivery and releases, • Support containerised and cloud-native workloads, • Contribute to infrastructure as code and automated environment provisioning, • Collaborate with software engineers to improve deployment, reliability and performance, • Apply best practice across code quality, testing and security controls, • Work within agile teams using Scrum, Kanban or Lean delivery models, • 3+ years commercial experience in a Cloud / Platform / DevOps / Infrastructure Engineering role, • Commercial experience with AWS, • Strong scripting or programming ability (Python, JavaScript, Java or .NET), • Experience with version control systems such as Git, • Hands-on experience with CI/CD tooling (e.g. Jenkins, Bamboo, TeamCity, Bitbucket pipelines), • Infrastructure as Code and configuration management exposure, • Automated testing and code quality tooling awareness, • Understanding of software design patterns and engineering best practice, • Work on mission-critical systems that have real-world impact, • Strong career progression with structured support and learning, • Competitive salary + bonus + flexible benefits package, • Hybrid working across multiple UK locations JBRP1_UKTJ

Senior Site Reliability Engineer (SRE) UK Remote Permanent | Up to £120,000 | Fully Remote (UK Only) This Is NOT a DevOps Role Real SRE Work Only Were looking for a true Senior Site Reliability Engineer with deep incident management experience, strong operational ownership, and expert Linux/AWS troubleshooting skills. This role is focused entirely on reliability, availability, incident response, and systems engineering not building CI/CD pipelines or acting as DevOps by another name. Leadership Requirement Small Team Technical Lead You must have experience leading a small engineering team (25 people), defining technical direction, improving on-call processes, and owning reliability strategy. This is a hands-on role with real SRE leadership not people management. About the Role As a Senior SRE, you will own the reliability, resilience, and operational health of large-scale AWS/Linux systems. Youll join an engineering organisation where SRE principles are fully embedded, respected, and treated as a distinct discipline. Key Responsibilities Lead major incidents, mitigation, RCA, and preventative improvements Own and refine SLIs, SLOs, and error budgets Reduce operational toil through automation Deep-dive Linux debugging, performance tuning, and systems analysis Strengthen observability, monitoring, and alerting Provide technical leadership to a small SRE/engineering group Improve and manage on-call processes (PagerDuty, OpsGenie, etc.) Collaborate with development teams to build reliability into system design What Youll Bring Strong AWS experience (EC2, networking, autoscaling, IAM, load balancing) Deep Linux troubleshooting skills (performance, networking, debugging) Real 24/7 production on-call experience Hands-on incident management and postmortems Experience mentoring or leading a small technical team Scripting/automation with Python, Go, or Bash Strong observability skills (Datadog, Prometheus, Grafana, CloudWatch) Why This Role Appeals to Real SREs Youll be solving actual SRE problems: reliability, incidents, resilience, uptime Youll guide a small team through complex engineering challenges JBRP1_UKTJ

DevOps Engineer Location: Newcastle 3 days on-site Salary: From £40,000 + Package Security Clearance required We're currently hiring for a DevOps Engineer to join a technology-driven team delivering secure, scalable, and automated infrastructure for high-impact projects. Youll work with cutting-edge tools to support development teams, streamline CI/CD pipelines, and maintain cloud-based environments. About the team: Youll be part of a fast-moving, innovative technology team focused on delivering robust, reliable systems for mission-critical projects. The team thrives on collaboration, values technical excellence, and offers opportunities to grow while working with a global network of experts and the latest technologies. What youll have the opportunity to work on as a DevOps Engineer: Automate infrastructure provisioning and deployments using CloudFormation, Terraform, AWS CDK, Ansible Build and manage CI/CD pipelines with tools like GitLab & Jenkins Monitor systems with CloudWatch, Kibana, Splunk, Prometheus Collaborate with developers and stakeholders to deliver scalable, secure solutions What we need from a DevOps Engineer: CI/CD experience (GitLab, Jenkins, CodeBuild, etc.) Infrastructure as Code: CloudFormation, Terraform, AWS CDK, Ansible Cloud & virtualization experience (AWS preferred) Knowledge of RESTful APIs Scripting: Python, Bash, Node.js, TypeScript, or PowerShell Agile/Lean delivery experience Whats in it for you? Competitive salary + benefits (25 days holiday + private medical) 3 extra days leave for charitable work Hybrid working: Newcastle office, flexible schedule Learn & grow with cutting-edge tech in a global network JBRP1_UKTJ

Lead Data Platform Engineer Remote (UK-based) SC Clearance Required (British Citizen) Permanent - Up to £110,000 + Benefits We are looking for a hands-on Lead Data Platform Engineer to join a high-impact programme delivering scalable, real-time data solutions. This role offers the opportunity to work on complex, mission-critical systems using modern technologies across streaming, cloud, and distributed data platforms. The Role As a Lead Data Platform Engineer, you will design and deliver batch and real-time data pipelines that are highly available, low latency, and scalable. You will collaborate with cross-functional teams to shape solutions, influence architecture, and ensure data is transformed into reliable, consumable outputs. Key Responsibilities • Design, build, and deploy data pipelines and backend services, • Work with real-time streaming technologies and event-driven architectures, • Champion engineering best practices including TDD, CI/CD, and clean code, • Collaborate with architects, analysts, and testers in Agile/BDD environments, • Take ownership of services in production, ensuring performance and reliability, • Drive continuous improvement across data platform capabilities, • Contribute to solution design, estimation, and delivery planning Required Experience • Strong production Java experience, • Experience with Kafka, Kinesis, or similar streaming technologies, • Hands-on experience with Spark, Flink, Kafka Streams, or similar, • Experience with Spring Boot and/or Python, • Strong experience with AWS (including Lambda and S3), • Experience integrating with PostgreSQL, Redis, or similar, • Solid understanding of data pipelines and data modelling, • Passion for clean, testable, and maintainable code, • Experience working in Agile and/or DevOps environments Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Familiarity with Terraform, Ansible, or Packer, • Experience with CI/CD tools such as Jenkins or Drone If you are interested, please apply or get in touch to discuss further.

Application Engineer - Connect Fibre £40,000 pa plus benefits Work from Home The Role Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing startup with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. Duties and responsibilities • Design and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. Qualifications and Experience A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • Proficiency in at least one programming language - Javascript, Python, PHP, • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus, • Experience with Wordpress and WooCommerce would be beneficial, • Familiarity with software development methodologies (Agile, Scrum, Devops etc.), • Experience of Cloud infrastructures Azure or AWS, • Working experience of API and REST API integrations, • Strong analytical and problem-solving skills to identify and mitigate development risks effectively, • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential, • Knowledge of geopandas, numpy, node or SQL is desirable but not essential, • Experience with GIT and Docker processes beneficial, • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. Measured on Performance evaluation will be based upon: ▪ Productivity and specific targets to be agreed collaboratively with line manager ▪ Quality of work and feedback from peers and colleagues ▪ Delivery of systems and services within agreed organisation and budget constraints ▪ Collaboration and skills as a team player. ▪ Innovation and creativity. Direct reports • This role reports directly to the Head of Systems Development. The Rewards • Salary: £40,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance, apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k A growing cloud and platform engineering consultancy is looking for a Senior AWS Platform Engineer to play a key role in designing and building secure, scalable cloud platforms for a range of high-impact projects. This is a hands-on role suited to someone who enjoys solving complex infrastructure challenges, improving developer experience, and enabling teams to deliver software faster and more reliably. You’ll be working with modern cloud-native technologies across AWS, using tools such as Terraform, Kubernetes (EKS), and CI/CD pipelines to build robust, production-grade platforms. Key Responsibilities • Design, build, and operate AWS platform components aligned with best practices, • Implement and maintain infrastructure as code using Terraform, • Build and improve CI/CD pipelines to support efficient, reliable delivery, • Support containerised workloads using Kubernetes and EKS, • Collaborate with engineering teams to enable cloud-native development patterns, • Implement monitoring, logging, and alerting for improved visibility, • Create reusable modules and deployment patterns, • Contribute to continuous improvement of platform performance, security, and scalability Requirements • Strong experience working with AWS in a platform or DevOps capacity, • Hands-on experience with Terraform (or similar IaC tools), • Experience with Kubernetes and containerised environments, • Solid understanding of CI/CD pipelines and automation practices, • Experience working in collaborative, cross-functional engineering teams, • Strong problem-solving mindset with a focus on reliability and scalability Location: Remote (UK-based) Salary: Up to £90k Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Reference Code: -en_GBContract Type: PermanentProfessional Communities: Architecture We’re looking for platform engineers who are excited to grow their careers while delivering meaningful outcomes for our clients. You’ll join a collaborative, supportive environment where diverse perspectives are valued, and where your contributions help shape the future of cloud services in the UK. We work in focused, agile teams called Pods—groups of technical professionals who come together to build and maintain cloud platforms. Our strength lies in our people and the inclusive culture we foster. If you enjoy working in a team-oriented environment and are passionate about continuous learning, we’d love to hear from you. Hybrid working : The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. As a key member of a Cloud Pod, you’ll have the opportunity to develop your skills and contribute to both project-based and foundational engineering work. You’ll collaborate with a diverse group of Cloud DevOps Engineers and be encouraged to: • Design, build, and maintain cloud platforms with a focus on reusability, standardisation, and infrastructure-as-code practices., • Work in agile, outcome-focused teams that align closely with client goals., • Grow your expertise through training, certifications, and hands-on experience., • Hands-on experience with AWS services, Terraform, Ansible, Kubernetes (EKS), GitLab, and CI/CD pipelines for enterprise cloud deployments using code-based approaches., • Skilled in day-to-day operations including monitoring, patching, upgrading, Landing Zone Accelerator (LZA), and security management., • Strong foundation in infrastructure and networking principles, complemented by experience working in agile teams and familiarity with ITIL frameworks for end-to-end service delivery., • Knowledge of AWS Landing Zone Accelerator components such as Service Control Policies (SCP), YAML, CloudFormation, and Identity Manager., • Exposure to AWS Outposts and hybrid cloud environments, ensuring seamless integration and scalability., • Ability to lead or contribute to technical discussions across architecture and engineering teams, driving best practices and innovative solutions. Capgemini is proud to be a ___ under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: -Declare they have a disability, and -Meet the minimum essential criteria for the role. Please opt in during the application process. If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)To be successfully appointed to this role, it is a requirement to obtain ___ . To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. Capgemini. Make it real. Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real |

Strong hands on with AWS and associated services such as EC2, EKS, Lambda etc. Proficient with IaC tools and tech such as Terraform, CloudFormation, CDK or similar. Minimum 3 years' experience in Cloud, DevOps, Platform, SRE or similar role.

AWS Solution Architect – Up to £95K + Bonus We’re working with a global technology consultancy delivering secure, large-scale digital transformation programmes across multiple industries. They’re looking for an AWS Solution Architect to join a growing engineering and architecture team, designing and delivering modern, cloud-based solutions across enterprise environments. This role is ideal for someone who wants to shape cloud strategy, design scalable architectures, and work alongside senior engineers and technical leads on enterprise-scale AWS programmes. What You’ll Be Doing: • Designing secure, scalable AWS architectures, • Defining cloud solutions across microservices, data, and integration layers, • Supporting migration and modernisation initiatives, • Working within Agile delivery teams, • Contributing to CI/CD and DevOps best practices, • Ensuring solutions meet security, governance, and compliance standards, • Collaborating with developers, DevOps engineers, and stakeholders What They’re Looking For: • Strong hands-on experience with AWS solution design, • Experience architecting cloud-native solutions, • Understanding of microservices and modern application patterns, • Experience working in Agile environments, • Ability to translate business requirements into secure technical architectures, • Passion for cloud innovation and best practices Nice to Have: • AWS Associate or Professional certification, • Experience with containers (Docker/Kubernetes), • CI/CD tools (e.g. Jenkins, GitLab, etc.), • Knowledge of security architecture and IAM, • Experience with data platforms or analytics solutions Security Clearance Requirement: Due to client project work, candidates must be eligible for UK Security Clearance (SC). Why Apply? • Work on large-scale enterprise cloud transformations, • Strong technical mentoring and career progression, • Hybrid working model, • Modern cloud-first engineering culture, • Excellent benefits package including private medical and additional volunteering leave Ok, I’m In What’s Next? Please apply with your latest CV.

Job title: Senior Machine Learning Engineer The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: • Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting, • Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software., • Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance. xrnqpay, • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes

The role: This is more than a job - it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally through the Cloud & Platform Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities: * Design, deploy, and support integrated system and application solutions across physical, virtual, and cloud environments through CI/CD pipelines * Work with engineering teams to translate operational and technical requirements into implementable system architectures and solution designs * Support the deployment, configuration, and integration of systems and applications within development and operational environments * Ensure system solutions meet performance, reliability, security, and interoperability requirements across platforms and environments * Act as the technical liaison between engineering teams and supply chain partners, ensuring technical specifications, standards, and integration requirements are clearly communicated and understood * Support supplier engagement by reviewing technical proposals, validating solution compatibility, and assisting with integration planning * Coordinate with engineering and supply chain teams to ensure delivered components and systems meet required technical and operational specifications * Support and conduct system testing, validation, and troubleshooting to ensure successful deployment and operational readiness * Collaborate with cross-functional teams including software engineers, network engineers, architects, and programme teams to support system delivery * Support the integration of third-party technologies and vendor solutions into the broader systems architecture * Contribute to the development and maintenance of technical documentation, including design documentation, integration guides, and deployment procedures * Maintain awareness of emerging technologies and tools that could enhance system performance, integration, or operational capability * Any other duties required to meet the needs of the programme Who we are looking for: We're after individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team. You won't necessarily have a military background, but you'll understand what it means to serve and to put the mission first. The OMNIA Systems Solutions Engineers will be responsible for responsible for the discovery, deployment and integration of a wide range of applications, bespoke technology and solutions in relations to cloud platforms and modelling & simulation for the Army Collective Training Service (ACTS). Responsible to the Cloud & Platform Lead, this position will be critical to the successful technology and interoperability of the entire solution. The position is suited to an all-round engineer who thrives on the challenge of tackling integration and deployment wide range of solutions across a broad spectrum of technologies, including simulation systems. This position requires a customer first mindset, strong stakeholder engagement skills, and the ability work in a multidisciplinary engineering team in a complex and evolving environment. Essential Skills and Experience: * Engineering background with a degree in a relevant discipline or equivalent professional experience * Proven experience designing, deploying, and supporting integrated systems and application solutions across hybrid environments (cloud and on-premise) * Strong understanding of systems integration principles across software, infrastructure, and networking layers. * Ability to translate operational and technical requirements into practical system architectures and deployment plans. * Experience supporting technical deployments within structured delivery environments (e.g. Agile or SAFe). * Strong analytical and problem-solving capability with experience diagnosing complex system issues * Understanding of system security principles and governance requirements * Experience designing and deploying containerised solutions using orchestration technologies (e.g. Docker, Kubernetes) * Experience implementing CI/CD pipelines and DevOps tooling (e.g. GitHub, ArgoCD, Helm, Maven, SonarQube, Quay or equivalent) * Experience using monitoring and observability platforms (e.g. Prometheus, Fluentd, ELK stack, Grafana) * Experience integrating and supporting database solutions (e.g. MongoDB, PostgreSQL, MSSQL) * Experience deploying and operating systems within cloud platforms such as Azure or AWS * Experience supporting system testing, validation, and troubleshooting during deployment and operational phases * Holds, or is eligible to obtain, UK Security Clearance (SC) Desirable Skills and Experience: * Experience working with Red Hat OpenShift and Ceph storage platforms * Programming experience (e.g. Python, JavaScript) * Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) * Experience delivering multi-system integration projects within defence, government, or highly regulated environments. * Experience implementing and configuring training simulation technologies across Live, Virtual, and Constructive (LVC) environments * Experience working with external suppliers and vendors to deliver integrated technical solutions, including reviewing technical documentation to ensure alignment with system/architecture requirements and standards * Experience supporting procurement or supply chain teams by translating technical specifications and integration requirements * Understanding of interoperability standards or integration frameworks used within enterprise or defence systems Benefits and Work Culture Benefits * Competitive salaries. * 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) * Contributory Pension Scheme (up to 10.5% company contribution) * Company bonus scheme (discretionary). * 6 times salary 'Life Assurance' with pension. * Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. * Enhanced sick pay. * Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. * Car / Car allowance (dependant on grade/ role) * Private Medical Insurance (dependant on grade) Work Culture * 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. * Early 1.30pm finish Friday, start your weekend early! * Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. * A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. * Up to 5 paid days volunteering each year. JBRP1_UKTJ

Career Opportunities: Director of Next Generation Engineering (11020) Requisition ID11020-Posted - Years of Experience (1) -Consulting- Where (1) Sprint Reply is the ReplyGroup companyspecialisedin Intelligent Process Automation. Our mission is to create automation platforms capable of solving concrete business problems, supporting our customers in the transformation towardsthe IntelligentEnterprise and the adoption of a scalable and efficient Digital Workforce. In Sprint Reply we combine anexecution orientedengineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. Role Overview: As Director of Next Generation Engineering, you will be responsible for transforming and scaling our software engineering function into an AI-native, high-performance organisation. You will set the vision and establish standards, tools, and ways of working that embed AI across the entire software delivery lifecycle, ensuring engineering is faster, smarter, more secure, and impactful. This role requires both strategic leadership with senior stakeholders and hands‑on guidance for engineering teams, spanning everything from developer experience and DevOps to automation and testing, making intelligent, scalable engineering the standard. Responsibilities: Lead the transformation and scaling of the software engineering function into an AI-native, high-performance organisation. Set the vision for next‑generation engineering aligned with business goals and the generative AI era. Define and implement standards, tools, and best practices across the engineering lifecycle. Drive the adoption of AI throughout software development to enhance speed, intelligence, security, and impact. Oversee the integration of AI into developer experience, DevOps pipelines, testing, and telemetry. Own the engineering playbook, ensuring consistent, scalable, and intelligent delivery practices. Provide strategic leadership, collaborating closely with the C‑suite and senior stakeholders. Offer hands‑on guidance and mentorship to engineering teams on platform design and automation. Evaluate and implement new technologies, code automation patterns, and proof‑of‑value solutions. Foster a culture of innovation, continuous improvement, and high performance within engineering. About the Candidate: 10+ years’ experience in software engineering, with a strong background in scaling teams and platforms in dynamic environments. Proven track record of implementing AI/ML‑enabled tooling (e.g., GitHub Copilot, test generation, CI/CD accelerators) at scale. Deep expertise in modern engineering practices: DevOps, SRE, IaC, composable architecture, and cloud‑native design (Azure/AWS/GCP). Demonstrated ability to drive measurable improvements in engineering velocity, quality, and scalability. Experience building and scaling product‑led or consultancy‑based delivery models. Recognised thought leader in engineering strategy and next‑generation software practices. Visionary technologist with the ability to set direction and realise future engineering trends. Performance‑driven, passionate about delivering measurable outcomes and optimising delivery systems. Skilled at building reusable frameworks, tools, and systems that empower engineering teams. Strong integrator and empowering leader, fostering collaboration, unlocking team potential, and building robust technical communities. The role requires regular in‑office collaboration (minimum two days per week). Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need. #J-18808-Ljbffr

OverviewGraduate Technology Roles – Software Development, QA Testing, DevOps & other opportunities (via the Graduate Development Programme)Location: North West, UKApplication RequirementsRight to work in the UK unsponsored for the duration of the programmeAbility to work on site, five days per weekSome roles require a high level of security clearance. For these, applicants must have been based in the UK for the last five years as a minimumGrayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas.Why Grayce?Grayce specialises in delivering change and transformation for some of the UK’s most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high performing early career talent across major programmes of work.Our Accelerated Development Programme offers a structured, fast track route into industry. You will gain hands on experience with leading organisations while developing professional skills, earning industry recognised qualifications, and receiving dedicated coaching and mentoring throughout your journey.About Our OpportunitiesGrayce is seeking motivated graduates to join our Graduate Development Programme and begin their careers in technology. We are recruiting across a range of roles and are looking for individuals who demonstrate curiosity, adaptability, strong communication skills and a structured, analytical approach to problem solving.At Grayce, you will be supported by expert coaching and structured development while working with some of the UK’s most respected organisations - from FTSE 100 and FTSE 250 companies to global technology leaders. You will join a team focused on continuous learning, collaboration and delivering measurable impact.Software DevelopmentSupport the design, development and maintenance of enterprise level applications, contributing to feature development, engineering tasks and defect resolution.QA TestingSupport software quality assurance through test preparation, execution, documentation and remediation activities, with opportunities to progress into automation or performance testing.DevOpsAssist in the deployment, monitoring and optimisation of software systems, supporting automation, environment configuration, performance monitoring and operational improvements.Information SecurityContribute to protecting systems and data by supporting security monitoring, incident response, vulnerability assessment and policy or control implementation.Service Desk / Service ManagementProvide first line technical support by triaging incidents, resolving service requests, escalating issues appropriately and supporting efficient IT service operations.What Makes a Great Grayce AnalystAcademic BackgroundTechnical Skills (advantageous)An interest in building capability in areas such as:Programming languages including Java, Python or similarTest automation, BDD practices and tools such as CucumberPerformance testing conceptsCloud platforms (e.g., AWS, Azure or similar)Infrastructure as code principles and basic scriptingCI/CD concepts, version control and deployment practicesMicroservices and containerisation conceptsAgile delivery methodologies and tools such as Jira and ConfluenceProfessional SkillsStrong communication, structured thinking, stakeholder engagement, organisation and a commitment to continuous learning.Why Work for Us?Hands on experience working full time onsite with leading organisations, supported by accredited training and industry aligned development.DeliveryYou will typically work with one client during your time at Grayce, delivering high quality outcomes in a structured, professional environment.Dedicated coaching and support throughout your placement and development journey.ProgressionCompletion of a minimum of six industry recognised accreditations, with clear pathways for progression and salary growth.24/7 access to our Employee Assistance Programme, offering confidential financial, legal, health and wellbeing support.NotesThe following content appears to be related to application submission, form fields and status messages and is not part of the role description. It has been omitted to keep the focus on the job content. #J-18808-Ljbffr

Remote work is available, contributing to a flexible work culture. An innovative IT consultancy is looking for a DevOps Engineer to join their team. The ideal candidate will have over 5 years of experience in DevOps, with a strong background in Docker, Kubernetes, and AWS.

We are looking to hire an AWS DevOps role for one of our client in London, Manchester, Newcastle location.DevOps Engineer – Infrastructure Specialist – AWS DevOps.Year UK Residence DevOps required to support HLD + prototyping phase on Move to Cloud program of major Government department Database

The role requires hands-on experience with AWS, Terraform, and DevOps methodologies.

You will be familiar with AWS or/and Azure and be comfortable with Microservice architectures and a range of cloud, devops and integration technologies. Public cloud technologies (AWS, Azure, IBM Cloud, Kubernetes etc. Strong understanding & delivery experience of cloud native architectures.

DevOps Lead (SC CLEARED) CONTRACT – OUTSIDE IR35. We are looking for a DevOps Lead to support a large‑scale Workspaces IaC Automation project and lead the design and delivery of automated cloud infrastructure pipelines across AWS and Azure. The role requires SC clearance, will start on 10 Nove

AWS DevOps Engineer – Hybrid (Manchester / Newcastle / London) – 6 Month Contract – Move to Cloud Programme. Primarily Remote | Onsite 1–2 Days per Week (Manchester, Newcastle, or London).

A global technology partner in Manchester is seeking platform engineers to develop and maintain cloud platforms. Ideal candidates will have experience with Azure/AWS, Infrastructure as Code, and modern DevOps practices.

A global business technology partner in Manchester is seeking an experienced AWS Architect for a full-time hybrid role. The ideal candidate will design cloud architectures and lead teams in adopting DevOps practices.