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Azure DevOps Engineer / platform engineer required for initially 6 months (fixed term contract) by world renowned Health tech client. Working remotely (UK only), we are looking for a skilled Azure DevOps Engineer with strong hands-on experience in IaC (infrastructure as code) using Terraform to help the team build out the platform and security. As a DevOps Engineer, you'll be joining the Cloud Engineering team of 6 engineers working to drive solutions for design, build and operational aspects of our infrastructure in Azure Cloud. Extensive hands-on experience using Terraform for Infrastructure-as-Code (IaC), Azure, some kubernetes ideal and an interest in security. You will get to work as part of a brilliant team and learn Wizard, K8’s etc. Knowledge of observability and site-reliability engineering principles is key. This is a fully remote (UK only) position within a fabulous team. Lots of flexibility, opportunity to learn (and grow) and all within a fabulous organisation. This is initially a fixed term contract, so a pro rata’d salary with benefits.

Lead Data Platform Engineer £75,000 - £85,000 Remote You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best-in-class data engineering practices. THE COMPANY This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities. THE ROLE As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure. Specifically, you can expect to be involved in the following: • Designing and developing end-to-end data platform solutions in Azure using Databricks, • Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation., • Implementing CI/CD and DevOps best practices across data pipelines and platform components. The successful Lead Data Engineer will have the following skills and experience: • Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering., • Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory., • Solid understanding of DevOps practices including CI/CD and automated testing., • Experience with monitoring, logging, and alerting solutions., • Ability to work effectively with stakeholders across engineering functions. BENEFITS The successful Lead Data Platform Engineer will receive the following benefits: • Salary between £75,000 - £85,000 - depending on experience, • Competitive bonus and benefits. Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

DevOps Engineers (x2) – April Start We’re currently looking for 2 experienced DevOps Engineers to join a fast-moving, cloud-first environment on an initial 3-month contract, starting April 7th. This is a hands-on DevOps role working across a modern, multi-cloud platform with a strong focus on automation, scalability, and reliability. You’ll be collaborating with engineering teams to support and enhance cloud infrastructure and deployment pipelines. Tech Stack & Environment Cloud & Infrastructure * Microsoft Azure (primary cloud platform) * Azure Kubernetes Service (AKS) * Azure PostgreSQL (Flexible Server) * Azure Cache for Redis * Azure Front Door & DNS Zones * Key Vault, Storage Accounts * Azure Entra ID & Privileged Identity Management (PIM) * Multi-cloud exposure: * AWS (CloudFront, Route 53, S3 – partial service) * Google Cloud Platform (BigQuery for analytics) DevOps & CI/CD • GitHub repositories & workflows, • Shared GitHub Actions pipelines, • Public and private repositories Monitoring & Observability, • Prometheus, Grafana, Alertmanager, • Logit.io, • StatusCake, • Azure Monitor Alerts, • Sentry (service-level monitoring) What We’re Looking For, • Strong hands-on experience with Azure DevOps tooling and services, • Solid understanding of Kubernetes (AKS preferred), • Experience with CI/CD pipelines (GitHub Actions), • Familiarity with multi-cloud environments (AWS/GCP beneficial), • Experience with monitoring and observability tools, • Ability to work in a collaborative, fast-paced environment Contract Details, • Start Date: ASAP, • Duration: Initial 3 months

LEAD DATA ENGINEER £85,000 + BENEFITS PRIMARILY REMOTE This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale. THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise THE ROLE: You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives. Key responsibilities include: • Developing and deploying the Lakehouse platform in Azure., • Owning Databricks engineering, administration and platform optimisation., • Designing end-to-end data platform solutions, • Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory., • Creating and maintaining CI/CD pipelines and automated testing frameworks., • Developing APIs to support integration, • Implementing monitoring, logging and alerting for platform reliability. YOUR SKILLS AND EXPERIENCE: • Deep expertise in Databricks, PySpark, Python and SQL., • Proven experience designing and delivering Lakehouse solutions., • Strong DevOps capabilities, including CI/CD and automated testing., • Experience with Infrastructure as Code and cloud automation., • Familiarity with monitoring, logging and alerting tools., • Strong stakeholder engagement and the ability to work across teams., • Experience with APIs and data integration methods., • Azure Data Factory experience is beneficial. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Location: Primarily remote, with 1 day per week in Manchester. Contract Type: 12-Month Fixed Term Contract (FTC), with a view to go permanent Employer: Amber Labs – Digital Consultancy Clearance: Active SC Clearance preferred, but SC Eligibility accepted Start Date: Immediate About Amber Labs Amber Labs is a forward-thinking digital consultancy delivering innovative cloud, data, and DevOps solutions across the UK public sector. We specialise in helping organisations achieve digital transformation at pace while maintaining the highest security and governance standards. We are seeking a Senior Test Engineer with deep core Java expertise to join a critical government programme. This is an excellent opportunity to work on highly impactful projects while enjoying a flexible, collaborative environment. Role Overview The Senior Test Engineer is responsible for ensuring the quality, reliability, and performance of software products through a combination of automated testing, shift‑left practices, and non‑functional testing. This role blends strong technical skills with a quality‑first mindset, working closely with developers, product owners, and DevOps teams to embed testing throughout the delivery lifecycle. Key Responsibilities • Design, build, and maintain automated test suites using Java or JavaScript., • Develop automation frameworks for functional, regression, API, and integration tests., • Ensure test execution is reliable, efficient, and integrated into CI/CD pipelines., • Work collaboratively with engineering teams to embed testing early in the SDLC., • Contribute to CI/CD configurations (e.g., GitHub Actions, GitLab CI, Jenkins, Azure DevOps) to automate quality gates., • Perform early analysis of requirements and acceptance criteria to prevent defects rather than detect them late. Skills & Experience Required • Active SC clearance preferred, but SC Eligibility accepted., • Proven experience with Java and or JavaScript., • Exposure to and capabilities maintaining automated test suites., • Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI), • Previous experience working within central government company, agency or framework(s), Apply Now and help shape the future of UK digital services with Amber Labs.

Location: Primarily remote, with one onsite visit to Manchester per month Contract Type: 12-Month Fixed Term Contract (FTC), with a view to go permanent Employer: Amber Labs – Digital Consultancy Clearance: Active SC clearance advantageous, however SC Eligibility accepted. Start Date: April About Amber Labs Amber Labs is a forward-thinking digital consultancy delivering innovative cloud, data, and DevOps solutions across the UK public sector. We specialise in helping organisations achieve digital transformation at pace while maintaining the highest security and governance standards. We are seeking a Lead DevOps Engineer well-versed with Azure, with experience leading DevOps teams, as well as previous experience working within centralised government capacities. This is an excellent opportunity to work on highly impactful projects while enjoying a flexible, collaborative environment. Role Overview As a Lead, you’re expected to operate at both a technical leadership level and a hands-on architecture/automation level. You will work within an Agile team, focusing on scalable, secure, and resilient cloud architectures that support modern digital services. Key Responsibilities • You’ll define and enforce deployment pipelines using Azure DevOps and GitHub Actions by building multi-stage pipelines (build, test, security scan, deploy), implementing blue/green or canary deployments and standardizing pipelines across teams., • Full automation of infrastructure using Terraform and Azure Resource Manager (ARM) to build reusable modules and templates to enforce consistency across environments., • Develop and maintain CI/CD pipelines to enable continuous integration and delivery, • Automate system deployments, configuration, and monitoring for reliability and performance, • Manage and optimise containerised applications using Docker and Kubernetes (standardising Docker usage)., • Collaborate with developers, security engineers, and architects to deliver high-quality solutions, • For Senior Engineers: Provide technical leadership, mentor team members, and contribute to solution design decisions Skills & Experience Required • Active SC clearance preferred, but SC Eligibility accepted (applications without clearance cannot be considered), • Proven experience with Azure, AWS core services (EC2, S3, VPC, IAM, Lambda, ECS/EKS), • Expertise in Infrastructure as Code (Terraform, CloudFormation), • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI), • Experience with containerisation and orchestration (Docker, Kubernetes), • Scripting ability with Python or Bash, • Version control experience (Git) Apply Now and help shape the future of UK digital services with Amber Labs.

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The Software Architect will enhance Orange Logic’s software by participating in the design, development, maintenance and testing process. What you can expect in your role: • Designing software architecture for our platform to meet functional requirements as well as security, quality, performance, and ease of maintenance, • Guiding and assisting the development team with an active involvement in the development process, • Obtaining requirement feedback from internal teams/clients to maintain/support the product development, • Supervising testing and deployment, • Performing code reviews on other team member’s work, • Collaborates with distributed teams in France, Vietnam, and the United States You are: • 8+ years’ practical experience on a web-based application, • Proficient with English (both verbal and written), • Proficient with any back-end programming languages (i.e. C#, Java, Python, C++, etc.), • Outstanding knowledge of software and application design and architecture, • Highly analytical mindset, with an ability to see both big picture and the details, • Experience with the database management tool SQL is a plus, but not mandatory Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Remote-first culture that values flexibility, trust, and work-life balance, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing DevOps team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Title: AWS Cloud Solutions Architect Location: UK / Europe (Fully Remote) Employment Contract. Job Description: We are seeking a highly skilled Cloud Solutions Architect to join our dynamic team. The ideal candidate will have a strong background in designing and implementing cloud native applications, specifically within the banking, investment, or capital markets sectors. You will play a key role in designing scalable and secure data platforms leveraging Databricks and cloud technologies to drive business value for our clients. Domain: Banking, Investment, or Capital Markets Domain Mandatory Skills and Experience • Proven experience designing and delivering AWS cloud architecture., • Proven experience as a Solutions Architect with hands-on expertise in Databricks platform., • Proven background in cloud migration and cloud-native solutions., • Deep understanding of AWS services, particularly across security and networking., • Experience working in DevOps environments (CI/CD, automation, IaaC), driving automation and infrastructure-as-code approaches across platforms., • Extensive background working in the banking, investment, or capital markets domain., • Strong understanding of data engineering concepts, including ETL/ELT pipelines, data lakes, and real-time data processing., • Pro-actively define, optimize, automate, publish and communicate deployment patterns for migration., • Support engineering teams in optimizing the migration path., • Documentation of deployed systems, scripts and other working practices to enable, re-use and support users across the world, • Working closely with stakeholders to translate mission-critical requirements into robust technical solutions., • Databricks Certified Associate Developer or Professional certification., • AWS Certified Solutions Architect (Associate or Professional) or relevant AWS data certifications., • Experience with MLflow, Delta Lake, and advanced Databricks features., • Familiarity with DevOps practices and Infrastructure as Code (IaC) tools such as Terraform or CloudFormation., • Exposure to regulatory and compliance requirements in financial services data management., • Design and architect end-to-end Databricks-based data solutions tailored for banking, investment, or capital markets clients., • Collaborate with business stakeholders to understand requirements and translate them into technical solutions., • Lead the implementation of scalable data pipelines, ensuring security, performance, and compliance., • Provide technical guidance and best practices to internal teams and clients., • Stay updated on emerging trends in data engineering, Databricks, and cloud technologies.

Employment Type: Full Time, Hybrid or Remote (Depending on Location) Reference Number: TBH48 About Us IES is a global climate tech company delivering world‑leading, physics‑based software and solutions that empower designers, engineers, and operators to create and maintain energy‑efficient buildings. With over 30 years of innovation, we are recognised as a leader in integrated performance‑based analysis and home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services support the design, retrofit, and operation of more efficient, comfortable, and sustainable buildings. Our Research and Innovation team ensures our technology and industry expertise remain best‑in‑class and at the forefront of innovation. The Role We are seeking an experienced DevOps Engineer to join our growing Glasgow‑based team. Working closely with Product, Software Development, QA, and IT, you will support the design, implementation, and optimisation of CI/CD pipelines and DevOps platforms. This role is critical to enabling reliable, secure, and scalable software delivery across IES. You will maintain and improve DevOps tooling, manage build agents using GitOps practices, support cloud deployments (primarily in Azure), and promote DevOps culture and continuous improvement across the organisation. What You’ll Do • Maintain and administer DevOps tools, ensuring they remain up to date, reliable, and fully operational, • Design, implement, and optimise CI/CD pipelines using Azure Pipelines, • Build and manage build agents supporting build and release processes, following GitOps practices, • Develop automation solutions using appropriate scripting languages and tools to reduce manual effort, • Support cloud deployments and day‑to‑day cloud operations, primarily within Azure, • Produce and maintain documentation covering DevOps tools, build agents, CI/CD pipelines, and cloud operations, • Identify and recommend opportunities for continuous improvement within the DevOps function, • Promote DevOps culture, principles, and best practices across engineering and delivery teams, • Collaborate closely with cross‑functional stakeholders to support efficient and high‑quality software delivery Essential Skills & Experience • Degree in a relevant field or equivalent professional experience, • 3+ years’ experience in a DevOps or similar role, • Proven experience implementing CI/CD pipelines using Azure DevOps, • Experience maintaining and administering DevOps tools (e.g. Azure DevOps), • Strong proficiency with Git and source control practices, • Strong scripting and automation skills (e.g. PowerShell, Bash, YAML, Python), • Experience with configuration management tools (e.g. Ansible), • Hands‑on experience with cloud technologies, preferably Microsoft Azure, • Strong analytical and problem‑solving skills, • Ability to work both independently and collaboratively within cross‑functional teams Desirable • Experience working in Agile environments (e.g. Scrum), • Exposure to containerisation and virtualisation technologies (e.g. Docker, Kubernetes), • Experience supporting scalable, cloud‑based platforms and services, • Strong documentation and communication skills Why Join Us • Build and operate platforms that directly enable real‑world climate impact through energy‑efficient buildings., • Own and shape critical CI/CD pipelines and cloud infrastructure in a fast‑growing, mission‑driven climate tech company., • Work with modern DevOps tooling and cloud technologies, with real responsibility and influence over engineering outcomes., • Collaborate with highly skilled teams across Product, Software Engineering, QA, and IT in a culture that values DevOps excellence., • Flexible working, and the opportunity to grow your career while doing meaningful work. How to Apply Send a cover letter detailing your relevant skills and an up‑to‑date CV to . Please include the job title and reference number in your application. Early applications are encouraged as this vacancy may close once sufficient applications are received. Our Commitment to Inclusion IES is committed to an inclusive workplace and welcomes applications from all backgrounds, even if you don’t meet every requirement listed. We can provide reasonable adjustments throughout the recruitment process, for example, sharing interview questions in advance, allowing breaks between stages, or offering extra time where needed. If you require support at any point, please contact the IES HR team at or 0141 945 8500. Candidate information is handled in line with GDPR; please see our ___

📍 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

Permanent, Full Time Remote (UK) — handful of in-person days per month Precision HealthTech is building the next generation of intelligent, patient-centric healthcare. Formed through the evolution of Healthy.io (UK), Precision HealthTech combines proven, regulated digital health solutions with new investment, ambition, and scale. Our flagship product, Minuteful for Wound, is a CE-marked, AI-powered platform that transforms a standard smartphone into a clinical-grade wound assessment tool - bringing precision measurement, structured clinical insight, and real-time tracking directly into the hands of clinicians and patients. We are entering a new phase: scaling across the NHS and international markets, expanding our product portfolio, and redefining how care is delivered outside traditional settings. Our technology enables clinicians to work smarter, improves consistency and outcomes, and empowers patients to actively participate in their healing journey. At Precision HealthTech, we are not just digitising existing pathways - we are redesigning them. This is an opportunity to shape the future of regulated digital healthcare at scale, in an organisation that combines deep clinical credibility with the agility of a high-growth technology company. Our culture We are building a small, high-trust team where people take ownership, work collaboratively, and focus on delivering meaningful impact in healthcare. Our work is grounded in a few core principles: • Patients first: Every product must measurably improve outcomes and access., • Precision in everything: Clinical-grade accuracy, operational reliability, and data integrity., • Trust and transparency: With staff, clients, and partners. Recruitment, culture, and decision-making shaped with staff, not done to them., • Bold innovation, quiet delivery: World class technology delivered seamlessly and simply., • Local roots and history with global relevancy: proven UK centre of excellence powering international health impact. What you will do Verifying the inherited cloud environment end-to-end: compute, storage, networking, secrets, deployments. Running the cutover from sandbox to production: DNS, secrets, database verification, health checks. Owning the CI/CD pipeline and evaluating whether to keep or modernise it. Building out monitoring and alerting from whatever baseline exists in the inherited environment. Planning and executing a major PostgreSQL version upgrade. Managing the message broker infrastructure. Codifying the infrastructure in Terraform once things are stable and understood. Owning the security baseline: container scanning, network configuration, access controls, supporting external pen testing. What we are looking for • 5–8 years in infrastructure, platform, or DevOps engineering., • Strong cloud platform skills (GCP preferred — this is a GCP environment, but strong AWS/Azure engineers who can make the jump are considered)., • Kubernetes: cluster management, deployments, networking, security., • Docker: builds, registries, image management., • Database administration: PostgreSQL strongly preferred. Comfortable with major version upgrades, backups, replication., • CI/CD: experience running and improving build/deploy pipelines., • Networking and security fundamentals: firewalls, DNS, TLS, access controls., • Previous work in healthcare, clinical platforms, or medical devices. If you’ve operated infrastructure for a regulated product — where uptime isn’t just a target but a compliance requirement, and where data residency and patient data handling are part of the job — that’s a real plus. Nice to have • Terraform or equivalent infrastructure-as-code., • Observability platforms (Datadog, Grafana, or similar)., • Message broker administration (RabbitMQ or similar)., • Experience taking over systems you didn’t build. Working pattern • Remote role, UK-based. You’ll need to attend in-person meetings and team working days a handful of times per month (typically 2–4 days). These will predominantly be in London.

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.

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.

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

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

Job Title: Dynamics Developers Location: UK-based, remote apart from day-1 to collect kit Contract: Contract Duration: 3 Month rolling contract Day Rates: £480/day Inside IR35 * PLEASE NOTE; Power Pages is essential experience needed for this role * Brio Digital are currently supporting a consultancy working with a central government department that currently needs a Dynamics/Power Platform Developers. You will join a central government digital transformation programme modernising public-facing services through Microsoft Dynamics 365 and Power Platform solutions. What You’ll Do • Develop and configure Dynamics 365 modules to support public service workflows., • Build Power Platform integrations, plugins, and custom workflows., • Collaborate with Business Analysts and Product Owners to refine requirements., • Ensure data integrity, security, and compliance with government standards., • Support testing, release, and deployment processes within an agile delivery team., • Contribute to technical documentation and handover to BAU teams. What You’ll Bring • Proven experience developing within Microsoft Dynamics 365 (CE/CRM)., • Strong skills in Power Apps, Power Automate, and Dataverse., • Proficiency in C#, JavaScript, and Dynamics SDK/custom connectors., • Understanding of Azure functions, APIs, and integration patterns., • Experience working in agile, multidisciplinary environments., • Awareness of government data and security standards. Nice-to-Have • Power BI or data visualisation experience., • Knowledge of CI/CD with Azure DevOps pipelines., • Familiarity with GDS Service Standards., • Previous public sector or regulated environment experience. Apply now or email for more information

DevOps Engineer Location: Remote Role Overview Reporting to the Web Architect, the DevOps Engineer will play a key role in designing and implementing the technical backbone of the digital platforms. This role is crucial to supporting the “digital first” strategy with solutions that are flexible, scalable, and reliable. The DevOps Engineer will work closely with internal IT teams at all levels, requiring clear communication with colleagues of varying technical expertise. You will help guide the business through technical changes, documenting processes, and ensuring seamless integration of new solutions. This role demands a balance of technical expertise, stakeholder management, and a people-focused mindset to deliver high-quality solutions and support the company’s strategic objectives. Key Responsibilities • Define web platform architecture aligned with the business goals., • Work with Security and Infrastructure teams to ensure platforms are secure, compatible, and optimised., • Conduct design reviews to simplify and modernise web platform infrastructure., • Support the delivery of innovative digital solutions., • Maintain awareness of DevOps best practices and industry trends., • Perform other duties as required, aligned with the scope of the role., • Demonstrate professionalism in interactions with business teams and third parties., • Respond promptly and appropriately to requests from management or the business., • Shape and nurture a positive technical culture within the team., • Collaborate with cross-functional teams to deliver user-focused experiences., • Communicate effectively with both technical and non-technical stakeholders., • Engage stakeholders to guide digital solution decisions and explain IT/web concepts clearly., • Foster collaboration and strong business partnerships within the team and across the organisation., • Support team members and contribute to overall team success., • Identify training needs and support upskilling within the team., • Act responsibly and professionally at all times. Essential Knowledge, Skills & Experience • Strong understanding of infrastructure architectures and cloud platforms (Microsoft Azure)., • Experience with Infrastructure as Code tools such as Bicep or Terraform., • Knowledge of Agile development principles., • Awareness of architectural impacts on performance and security., • Strong technical documentation, problem-solving, and critical thinking skills., • Excellent interpersonal and time management skills., • Ownership mentality and pride in delivering high-quality solutions. Experience • 3–5+ years as a DevOps Engineer with a solid understanding of DevOps principles., • Hands-on experience deploying to Azure using Terraform or Bicep., • Implementing network and security best practices., • Working with patterns such as Headless, Microservices, and Event-Driven Architecture., • Degree in Computer Science, IT, or a related field.

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!

DevOps Engineer (Azure/AWS, SQL Server, Client-Facing) Fully remote - UK Based - up to £65,000 Security Clearance Required or Eligible We are hiring a DevOps Engineer to take ownership of critical UK-hosted production systems, working directly with clients and leading incident response across Cloud platforms. This is a high-impact, client-facing role where you will act as the UK technical authority, ensuring system availability, security, and performance across business-critical applications. You will sit at the centre of production operations, bridging UK clients and offshore engineering teams. You will get to: • Own and influence mission-critical UK systems, • High level of autonomy and technical ownership, • Direct exposure to clients and decision-making, • Work in a modern cloud + DevOps environment Skills required: • Strong experience in DevOps / Production / Application Support environments, • Solid knowledge of AWS or Azure, • Advanced SQL Server skills (query optimisation, performance tuning), • Experience supporting live production systems (L2/L3), • Comfortable working in client-facing environments, • Strong communication skills and ability to lead technical discussions Responsibilities: Production Ownership • Optimise SQL queries and resolve performance and data-related issues Bonus: • Experience in regulated or security-cleared environments, • Understanding of UK data compliance (GDPR, data residency)

Software Engineer within Data & A.I team 🔥 Salary circa 75K with a 10% bonus. 📍Very flexible working arrangement, great to see you in Bristol office, however are open to fully remote. Super interesting company, using AI to build smart solutions that help governments, businesses, and communities make better decisions. They develop advanced robotic systems and software for things like surveillance, inspections, and emergency response. The org is in the Defense industry, so you will gain SC Clearance (must have been in the UK for 5 years to attain it) They're expanding their Data & AI team and looking for a Backend Software Engineer to help build scalable, reliable systems. What you’ll do: ➡️Turn requirements into working software ➡️Design, build, and deploy backend systems ➡️Work closely with product teams in an Agile setup ➡️Test, improve, and maintain code quality ➡️Support real-world deployments and system integration ➡️Keep up with new tech and contribute to improvements They're looking for: ✅3+ years of software engineering experience ✅Strong C# and .NET skills ✅Experience with APIs, databases, and system design ✅Familiarity with Linux, Cloud, DevOps, and CI/CD ✅Comfortable working in Agile teams ✅Bonus: experience with AI/ML or distributed systems You should be a strong problem-solver, detail-oriented, and able to work in a fast-moving environment. Please get in touch if you would like to learn more!

🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS product—Spark Travel—at pace. You’ll join a smart, collaborative team that pushes each other to articulate and defend every architectural decision in pursuit of best‑in‑class software. Spark Travel itself is on a mission to drag the tailor‑made travel industry into the 21st century. Our cloud‑native platform unifies sales, supplier contracting, dynamic pricing, and on‑trip operations—everything from the first quote to the traveller’s safe return. The market is huge, the incumbents are slow, and we already have meaningful traction: roughly 35 customers and an accelerating sign‑up pace, a very healthy sales pipeline, and a roadmap brimming with genuinely novel features. With a fantastic existing team across engineering, product, customer success, marketing, and sales, we’re gearing up for hyper‑growth. We’re looking for two down‑to‑earth professional, a conscientious Senior Software Developer, to build on what already works and unlock our next wave of innovation. 🌟 Your Impact • Raise the bar sensibly. Whether you’re refining our Azure architecture as CTO or shipping revenue‑critical features as Senior Dev, you’ll set high standards without reinventing the wheel., • Champion intuitive user experiences. Both roles care deeply about usability, ensuring our platform feels effortless for travel pros and their travellers., • Own the craft. Understand the problem, ship the solution, measure the outcome—and when something’s working, double‑down on it., • Move the needle. Your work will streamline the day‑to‑day of leading tailor‑made tour operators and DMCs—enhancing trip experiences for their travellers as we scale. 🧭 Role Snapshot 2️⃣ Senior Software Developer • Be UK‑based (remote within the UK) with ability to attend occasional team meet‑ups in London (travel expenses covered)., • Design, build, and maintain features across the stack: .NET (C#) based API backends, Angular (TypeScript) based frontends, SQL Server, Cosmos DB., • Own mission‑critical modules such as pricing engines, itinerary or form builders, client proposal app, etc., • Write clean, tested code; automate everything from CI/CD pipelines (Azure DevOps/GitHub Actions) to performance benchmarks., • Investigate and diagnose issues and perform root cause analysis., • Collaborate cross-functionally with Product, Design, and Customer Success., • Propose incremental improvements and occasionally explore new tech (e.g. Azure OpenAI) when it clearly solves a problem. You might be our Senior Dev if… - Hold a 1st-class or 2:1 degree in Computer Science or a closely related discipline. - 4+ years building modern web or data applications with .NET and at least one JavaScript framework. - Hands-on experience with Azure or another major cloud provider, plus an understanding of microservices and event-driven architectures. - You love balancing delivery speed with technical excellence, and you’re keen to keep learning. 🎁 What We Offer • Competitive salary, equity options coming soon, • Remote‑first culture with asynchronous workflows, • Private healthcare, • Employer pension contributions above statutory, • Home‑office setup budget, • Coworking space allowance, • Flexible hours with async core overlap, • Professional‑development budget, • Conference & certification leave, • Choose‑your‑own‑tech toolkit, • Travel‑to‑London expenses for required in‑person meetings, • Collaborative and innovative company culture 📩 How to Apply • Send your CV., • Confirm you are currently living and legally able to work in the UK., • Share one project or decision you’re proud of, why it mattered, and what you learned. Please note: We are only considering UK‑based applicants who fully meet the role criteria. Applications that do not comply will not be considered now or in future hiring rounds. Deadline: 15th March 2026 (rolling review—apply early). Spark Travel is an equal‑opportunity employer and a welcoming neurodiverse team. We celebrate diversity and are committed to creating an inclusive environment for all. We’re not just saying that, we really mean it!

MS Dynamics 365, Azure Remote Contract, outside IR35 Competitive daily rate We are seeking an experienced Azure, Microsoft (MS) Dynamics Engineer (Enterprise) to help design, develop, implement and integrate a new cloud-based CRM solution, utilising Azure tools and working on MS Dynamics and other CRM technologies used in the not-for-profit / public sectors. Core Responsibilities: • Develop and implement seamless integrations between CRM solution and the existing systems using Azure Services, i.e. Azure Logic Apps, Azure Functions, Azure API Management, and Azure Service Bus, • Create data pipelines and workflows using Azure Data Factory for batch integration, • Design and implement RESTful APIs for communication between systems, • Create and preside over detailed documentation of low level integration designs, processes and interface contracts Experience required: • Strong technical knowledge to design, develop and maintain complex integrations, • Ability to produce integration designs in line with the wider enterprise and solution architecture designs, patterns and principles, • Proven experience as an Integration Engineer having worked on enterprise-level solutions and integration, • Experience with MS Dynamics 365 / Dynamics CRM, • Strong hands-on experience with Microsoft services such as:, • Azure Logic Apps & Azure Functions, • Azure API Management & Azure Service Bus, • Azure Data Factory, • Power Platform Power Automate, • Experience developing and consuming APIs and web services, • Knowledge of API security standards and Azure Active Directory integration, • Proficiency in C#, .NET, or other modern programming languages, • Experience of DevOps including CI/CD pipelines, version control and deployment strategies If this sounds like you, please apply directly with your up to date CV & contact details attached. Due to high levels of interest, we kindly request you do NOT call our offices. We review all applications and will be in touch with successful candidates in due course. Thank you for your understanding on this request.

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

We're partnering with a world-renowned health tech organisation to find an experienced Azure DevOps / Platform Engineer to join their Cloud Engineering team on an initial 6-month contract. Azure DevOps / Platform Engineer (Contract - 6 Months) | £575 per day | Outside IR35 | Fully Remote (UK Only).

.NET Developer - Leading E-Book Firm – Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client are a leading e-book firm who are on a mission to build the best reading experience, one that is both communal and personal, anytime, anywhere. Having recently opened their uber-chic offices in Manchester they are looking to hire .NET Developer at all levels to work on the development of a product that makes a meaningful, lasting difference in people’s lives. We are seeking .NET Developer candidates who are passionate about software development and all things tech. You should have a good grasp of: .NET, .NET Core, C# and Azure SQL. Our client can provide you with industry recognized training in: .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Azure, AWS, Node.js, Elasticsearch and Azure Cosmos DB. This is a great opportunity to work alongside smart, driven people who will inspire you every day. You will have the opportunity to form relationships with their investors, advisors and mentors - and the broader tech community. These experiences will provide you with the abilities necessary to grow with the firm, or one day start your own company! Their benefits include: a company bonus, pension, healthcare, flexible holiday policy (they do not count days), a well-stocked kitchen (with fresh fruit, snacks and drinks) and regular company outings: team dinners, trips to museums and galleries. They also run monthly book club lunches and discussions. Location: Manchester, UK / Remote Working Salary: £45,000 - £50,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC NC/SB/MANET

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.

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)

About Us: Beazley Security is a global cybersecurity firm committed to helping clients enable advanced cyber defenses that reduce risk with quantifiable results. We’re comprised of top talent from private industry, government, intelligence, and law enforcement who are specialists in threat detection, incident response, digital forensics, offensive security, risk management, and cyber resilience. As a subsidiary of specialty insurance giant, BeazleyInsurance, we’ve been at the forefront of cyber insurance management and breach response activities for business clients in the US, UK, and Europe since 2017. As Beazley Security, the company will have an expanded scope, leveraging nearly two decades of cyber incident experience, a strong services division, and a business strategy focused on growth, to realize our goals and deliver benefit for clients. As a company, we are committed to upholding our core values of Belonging, Integrity, Service, Accountability, and Curiosity. We believe these values are essential to creating a strong and inclusive workplace culture, as well as to delivering world-class cybersecurity solutions to our clients worldwide. As Beazley Security, these values will continue to thrive, with an extra emphasis on expansion of our capabilities and capacity in helping solve unique client challenges. Summary: Beazley Security is seeking a Director of Engineering to lead and scale our software engineering function across multiple product teams building secure, high-performance applications that power our cybersecurity products and services. You’ll set technical direction, strengthen team health, and drive delivery excellence across an organization operating with modern engineering practices including cloud-native architectures, containerization, scalable service design, CI/CD, infrastructure-as-code, and DevSecOps standards. Reporting to the Deputy Chief Product & Technology Officer, you’ll partner closely with Product, Security, IT, and other stakeholders to translate business objectives into dependable engineering execution. You will also help shape our AI strategy, both in how our products responsibly leverage AI capabilities and in how our teams use AI-assisted development tools to securely accelerate delivery, while evolving the engineering team into a scalable, multi-tier organization that supports Beazley Security’s continued growth. This role is ideal for a technical leader with deep software development expertise who thrives at the intersection of people management, product growth, and strategic thinking in a fast-paced, security-conscious environment. Key Responsibilities: Technical Leadership & Strategy • Define and execute the engineering strategy in alignment with Beazley Security’s product roadmap and business objectives, partnering with the Deputy CPTO, CPTO, and Director of Product on long-term technical vision., • Lead architectural planning across all product lines ensuring systems are designed for scalability, reliability, security, and maintainability., • Guide technology decisions, development frameworks, tooling, and infrastructure standards across engineering teams., • Evaluate and adopt emerging technologies, including cloud-native architectures, microservices, and modern DevOps practices, to keep the engineering function at the leading edge. Team Leadership & Management • Directly lead and mentor a growing engineering team evolving the organization from a flat structure into a scalable, multi-tiered team with engineering managers and technical leads over time., • Drive performance management and career development across the team while fostering a culture of accountability and curiosity., • Define the engineering org structure and resourcing plans to support company growth including succession planning and leadership development., • Guide and coordinate outsourced engineering partners alongside the in-house full-time Engineering team by leveraging subcontracting relationships while ensuring both standards and delivery goals are consistently met. Platform Engineering & Reliability • Ensure all products operate reliably on a 24/7 basis, including uptime, incident response, and on-call processes., • Partner with IT to own and manage cloud infrastructure across AWS and Azure, ensuring environments are secure, cost-efficient, and aligned with security and compliance requirements., • Establish and maintain observability, monitoring, and alerting practices to proactively identify and resolve system health issues., • Continue to evolve and optimize our infrastructure-as-code practice and CI/CD pipelines, strengthening deployment automation to further improve delivery velocity and reliability. Project & Delivery Oversight • Oversee execution of engineering projects across multiple product teams ensuring timely delivery and code quality while aligning with the goals of the roadmap and products., • Collaborate with Product to scope and prioritize engineering work within agile delivery frameworks., • Remove blockers and enable teams to operate efficiently and independently while balancing speed with quality and security., • Establish delivery metrics and reporting cadences to provide visibility into engineering velocity and capacity and risk. Cross-Functional Collaboration • Serve as the primary engineering liaison across departments within Beazley Security., • Ensure technical alignment with Beazley Security’s cybersecurity service offerings and evolving client needs., • Partner with Finance to track engineering spend across products and support software capitalization (CapEx) reporting., • Represent the engineering perspective in leadership discussions and planning sessions and client-facing conversations as needed. Engineering Operations • Establish and continuously improve engineering workflows, coding standards, testing practices, code review processes, and deployment pipelines., • Define and monitor key engineering KPIs and quality metrics., • Champion a culture of secure development ensuring security is embedded in the SDLC through practices., • Foster a collaborative, inclusive, and high-trust engineering culture where innovation and continuous learning are valued. Engineering Innovation • Own and drive the AI strategy across the engineering organization through product-facing AL capabilities and internal engineering productivity tooling., • Help define and ensure policies and best practices are met for the secure and responsible adoption of AI-assisted coding tools (e.g., code generation, automated testing, AI-powered code review) across the team., • Collaborate with product leadership to identify opportunities where AI and machine learning can enhance Beazley Security’s cybersecurity service offerings and client value., • Stay current with advancements in AI and assess its applicability to engineering workflows and product features to suggest improvements. Qualifications: • 8+ years of professional software engineering experience with at least 3–5 years in engineering leadership roles managing multi-team or multi-product engineering functions., • Proven track record of building, scaling, and retaining high-performing technical teams, including experience evolving organizational structures as teams grow., • Strong technical foundation in modern software development (e.g., Python, Node.js, TypeScript, Go) and cloud-native development on AWS Fargate and/or Azure EKS., • Experience working in or adjacent to environments where security and compliance are paramount., • Deep understanding of engineering best practices including CI/CD, agile methodologies, infrastructure-as-code, secure coding, and DevSecOps., • Experience with AI capabilities to help guide AI usage within products and in adopting AI-powered developer tools across the engineering team would be preferred., • Experience managing cloud infrastructure partnerships with IT including cost optimization, security hardening, and multi-cloud environments., • Experience leading or integrating outsourced/subcontracted engineering teams alongside in-house staff., • Excellent leadership, communication, and stakeholder management skills. Beazley Security offers: • Fully remote work opportunities to fit your lifestyle., • Competitive salary with a commission structure., • Flexible working arrangements to support balance., • Generous parental leave to support your family., • Private healthcare for your peace of mind., • A strong pension scheme to help secure your future., • A lifestyle allowance to enhance your well-being., • Life insurance and long-term disability coverage for added security., • Opportunities to grow through career advancement and ongoing training., • Access to industry conferences and events for professional development.

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