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This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Who we are looking for The Cyber Data Science, Enablement, & Analytics Leader will lead a team responsible for designing and operating data, analytics, and automation capabilities that underpin cyber control testing, continuous monitoring, and executive reporting. The selected candidate will derive accurate and timely insights into the firm's security posture, inform cyber residual risk, and transform data into actionable intelligence. This role will provide stakeholders and risk owners with a single source of the truth of the security health of their assets. What you will be responsible for Design, build, and maintain: Cyber data pipelines that aggregate risk, control, and other data from security tools, IT systems, and GRC platforms into a central repository/data warehouse. A data repository with front-end analytics to effectively response to regulatory questionnaires; using AI to ensure consistency across responses. Develop and execute automated control tests (e.g., external-facing attack surface, configuration, access, vulnerability, etc.) using scripts, APIs, and rules-based engines to provide periodic and near real-time assurance while aligning to known attack paths, where possible. Partner across Cyber functions, including GRC, security operations, security engineering and architecture, and data teams, to define data requirements, test cases, and target coverage for automated control testing. Analyze control testing results to identify patterns, emerging risks, and systemic control design or operating issues; provide data-driven recommendations for remediation and prioritization. Implement continuous monitoring dashboards and scorecards for key cyber risk and control indicators, support cyber leadership and facilitate reporting across business segments and functions. Engineer and maintain data models, taxonomies, and mappings (e.g., controls to NIST, ISO, CRI) to support standardized assurance related to regulatory requirements, metrics, and cross-framework reporting. Automate compliance and audit reporting, including evidence collection, population of templates, etc. to provide insights into gaps and remediation progress. Implement AI to support use cases across cyber security functions to increase efficiency and provide insights into data. Support regulatory and internal audit requests and reporting by producing metrics and evidence packs. Contribute to the design and rollout of cyber GRC tooling with a focus on workflow automation, data quality, and integration with data pipelines and enterprise-wide tooling. Establish and maintain documentation for data pipelines, control test logic, dashboards, and reporting processes, including runbooks and standard operating procedures. Build strong partnerships with cyber function leads and stay abreast of cyber transformation activities to ensure data, testing, dashboards and reporting processes maintain pace with cyber initiatives and emerging threats and risk. Lead team of data scientists and engineers to support enablement of Cybersecurity risk identification, control testing, and senior level reporting. What we value These skills will help you succeed in this role Deep expertise in cryptographic technologies, including PKI, TLS, HSMs, and certificate/key lifecycle management. Proven leadership in managing large-scale cryptographic programs across complex, global environments. Strong understanding of regulatory frameworks (e.g., NIST, ISO 27001, PCI DSS) and their cryptographic requirements. Experience with cloud-native cryptographic services (e.g., AWS KMS, Azure Key Vault). Exceptional communication and stakeholder management skills. Ability to lead cross-functional teams and influence without direct authority. Strong organizational, multi-tasking, and prioritization skills. Experience implementing automated and/or continuous controls monitoring in cloud and hybrid environments. Background in ITGC testing, control assurance, including test design, sampling, and documentation of findings and remediation actions. Knowledge of data modeling, ETL design, and basic data-engineering patterns (e.g., orchestration, data quality checks, schema versioning. Strong analytical mindset with the ability to translate ambiguous risk or control questions into measurable metrics and repeatable tests. Clear written and verbal communication skills, including the ability to explain complex technical findings and trends to leadership. Education and Preferred Qualifications 10+ years of experience in cyber GRC, security analytics, data engineering, or related assurance roles, with exposure to control testing and risk/compliance reporting. Bachelor's degree in information systems, computer science, data analytics, cybersecurity or related field (or equivalent experience). Demonstrated experience in building dashboards and reports in BI tools (e.g., Tableau, Power BI, or similar) to communicate risk and controls insights to non-technical stakeholders. Hands-on experience with scripting or automation programming (e.g., Python, PowerShell, SQL) and working with APIs to security extract data from security and IT platforms. Strong understanding of information security control frameworks and regulations such as NIST CSF / 800-53, ISO 27001/2, and data protection requirements. Familiarity with GRC platforms and workflow automation capabilities. About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement ]]>

Please note this is a training programme and fees apply* Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. * HTML Essentials (6 weeks) * CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. * Learn the Command Line (1.5 weeks) * Learn Git & GitHub (1.5 weeks) * Learn JavaScript (1.5 weeks) * Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses * AWS Certified Cloud Practitioner * Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer

AI Engineer Placement Programme- No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Placement Programme is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Who we are looking for Responsible for implementation and delivery of new server side components, micro services, web api, and enhancements to the BestX product Why this role is important to us Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation. We offer a collaborative environment where technology skills and innovation are valued in a global organization. We're looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company. Join us if you want to grow your technical skills, solve real problems and make your mark on our industry. As Lead Development Engineer (Server Side) for BestX product, VP the ideal candidate will be: Responsible for implementation and delivery of new server side components, micro services, web api, and enhancements to the BestX product Exhibit superior skills in modern Agile, Cloud-based, Server side, DB, Development. Develop understanding in the area of Transaction Cost Analysis and key benchmarks required for MiFID and MiFIR Responsible for maintaining and enhancing the application and influencing technology decisions Responsible for taking ownership of tasks and seeing them through completion Responsible for establishing best practices, clean-code and design patterns. Be passionate about driving change through an organization A proponent of Test Driven Development always striving to Shift Left so as to facilitate effective CI/CD Education & Preferred Qualifications Core/Must have skills 15+ Years Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design, distributed (multi-tiered) systems, algorithms, and relational databases such as PostGres, Oracle, Distributed Cache, messaging, Extensive experience in designing , building low-level APIs for high-volume, latency sensitive applications, having experience in multi-threading, data structures, grid computing and message oriented middle-ware. experience contributing to the architecture and design (design patterns, reliability and scaling) of new and current systems. Hands-on experience working with AWS and/or other modern cloud based infrastructure. Good to have skills knowledge/expertise in FX/Fixed Income/Equity/ Equity Derivatives products KDB Exposure and understanding in one or more of the modern JavaScript build tool chain using things like node, npm, rush, yarn, webpack, babel, cyprus About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement ]]>

Company Description Detectronic , based in Nelson, Lancashire , is a UK specialist in wastewater and sewer network monitoring systems . The company designs, manufactures, and installs flow, level, and water-quality monitoring equipment used by water utilities and industrial customers to prevent flooding, reduce pollution, and improve environmental compliance Job Description Software Development Lead Hybrid with Travel to Nelson Permanent, full-time Competitive salary, Bonus plus benefits We are seeking an experiencedSoftware Development Lead with deep expertise in IoT systems, cloud-native development on AWS, data ingestion pipelines, and API development. You will design and build the backend services that support our connected IoT devices-managing secure device communication, high-volume data ingress, and the APIs that power our applications and customer experiences. This role is ideal for an engineer passionate about building scalable systems that bridge the physical and digital worlds. More about the role: IoT Platform Engineering Design, develop, and maintain backend services that support large fleets of IoT devices. Work extensively with AWS IoT Core , MQTT messaging, Device Shadow, and secure device provisioning. Build and optimise IoT communication flows including telemetry, event handling, command/control, and device state management. Data Ingress & Telemetry Pipelines Architect and operate real-time IoT data ingestion pipelines handling telemetry, logs, and events from thousands of devices. Implement processing workflows using Kinesis, Lambda, SQS, Kafka, Step Functions , or similar. Ensure data quality, schema governance, and reliability across ingestion and downstream data consumers. API Development Build and maintain RESTful and GraphQL APIs supporting device management, device data retrieval, and user-facing features. Ensure APIs are secure, highly available, and performant at scale. Define API standards and patterns for internal and external consumers. Cloud & Infrastructure Design cloud-native systems using AWS services such as API Gateway, DynamoDB, Timestream, S3, ECS/EKS , and CloudFormation/CDK. Implement observability across all IoT workloads using CloudWatch, OpenTelemetry, or related tools. Drive cost optimisation and reliability across IoT cloud infrastructure. Security & Device Trust Implement strong IoT security practices including certificate-based auth, encryption, least-privilege IAM, and secure onboarding flows. Support secure OTA updates, fleet management, and device lifecycle operations. Leadership & Collaboration Lead architecture discussions and mentor mid-level and junior engineers. Participate in design reviews, code reviews, and cross-functional roadmap planning. Collaborate closely with product, firmware/embedded teams, and data engineering. Qualifications Required Skills & Experience Backend or platform engineering experience, ideally with IoT or distributed systems. Strong expertise in AWS , especially AWS IoT Core , Lambda, DynamoDB, Kinesis, SQS, API Gateway. Proficiency in languages such as Python, Node.js, Go, or Java . Hands-on experience with MQTT and event-driven IoT architectures. Proven ability to build and scale data ingestion pipelines . Experience building secure, high-performance APIs for internal and external use. Solid understanding of distributed systems, cloud design patterns, and microservices. Nice to Have Experience with edge/embedded integrations (e.g., AWS Greengrass). Familiarity with time-series databases (Timestream, InfluxDB, Timescale). Knowledge of digital twins, device simulation, or industrial IoT protocols. Containerization experience with Docker, ECS, or Kubernetes/EKS. Exposure to OTA update workflows, remote diagnostics, or fleet management tools. Additional Information What we can offer you: Enhanced maternity, paternity and adoption pay and leave Company pension Life assurance scheme (x4 salary) Medicare Cash Plan (includes cash payments towards dental, medical, therapeutic treatments) with the option to add up to 4 dependants Refer a friend scheme Employee assistance programme (access to GP appointments and mental health support) Competitive annual leave plus bank holidays Training and career progression opportunities Adler and Allan are committed to fostering diversity and inclusion in our workplace. We proudly embrace equal opportunities for all applicants, regardless of race, colour, religion, sex, sexual orientation, gender identity or national origin. If you require any support with your application, whatever the circumstance, please let us know. TPBN1_UKTJ

Job Title: Senior Software Engineer in Test Type: Inside IR35 Contract Rate: £600-£650 per day Duration: 6 months minimum (likely to extend) Location: London - 3 days on site (Canary Wharf) A large fintech business are looking for a senior-level quality engineer with a strong software engineering mindset to help shape and safeguard new platform capabilities across complex workflow-driven systems on a contract-basis. This role sits embedded within product engineering, operating in a shared ownership model alongside Java and React developers, with a heavy emphasis on automation. What you’ll be doing Building and maintaining automated coverage across the stack, from APIs through to user journeys, using established internal tooling and frameworks. Evolving existing test frameworks where required, while staying aligned with core engineering standards. Working closely with frontend and backend engineers to ensure critical paths are well understood, well tested, and production-ready. Participating in code and design discussions with a quality-first lens across the full delivery lifecycle. Applying targeted exploratory testing early, where automation is still catching up with new functionality. Ensuring automated testing is a first-class citizen within CI/CD, enabling fast and reliable releases. Validating business-critical workflows within post-trade / collateral-style domains, where correctness really matters.What we expect A solid engineering foundation, backed by significant hands-on experience in test automation. Deep familiarity with Java or JavaScript/TypeScript-based automation, including modern UI and API testing approaches. Comfort working across React-based front ends, RESTful services, and distributed architectures Experience of testing microservices Experience operating in environments without a dedicated QA function, where quality is owned collectively. Strong problem-solving skills and the ability to communicate clearly with engineers and stakeholders alike.Bonus points for Exposure to cloud-native platforms (particularly AWS). Working knowledge of containerised environments. Experience with performance or resilience testing. Familiarity with workflow engines, event-driven systems, or highly distributed platforms Please note that you must be located in/around London and have UK right to work to be considered for this position - thank you

Job Specification: Senior Blockchain Engineer (Tokenization Platform) My client is seeking a highly skilled Senior Blockchain Engineer to join our growing tokenization company. You will play a critical role in designing and building scalable, secure infrastructure for tokenized assets, leveraging modern web technologies ( Next.js ) and cloud-native architectures ( AWS ). This role requires deep expertise in Rust-based smart contract development , strong familiarity with Layer 2 (L2) ecosystems , and the ability to build lean, in-house solutions without over-reliance on third-party tooling. Key Responsibilities: Design and develop tokenization infrastructure for real-world and digital assets Build and maintain smart contracts in Rust (e.g., Soroban or similar frameworks) Architect and implement L2-integrated systems (rollups, bridges, settlement layers) Develop backend services and APIs using Node.js / Next.js Deploy and manage scalable systems on AWS (Lambda, ECS, S3, RDS, etc.) Create secure, performant systems with strong attention to key management and custody flows Collaborate with product and frontend teams to deliver seamless user experiences Optimize systems for performance, cost-efficiency, and reliability Contribute to internal tooling and infrastructure with a build-over-buy mindset Required Skills & Experience: Blockchain & Smart Contracts Strong proficiency in Rust Experience building smart contracts using Soroban or comparable Rust-based frameworks Solid understanding of token standards, custody, and tokenization models Hands-on experience with Layer 2 solutions (e.g., rollups, zk systems, optimistic L2s) Familiarity with blockchain architecture, consensus, and security best practices Backend & Infrastructure Experience with Next.js / Node.js (API routes, server-side rendering, etc.) Strong experience with AWS (serverless and container-based architectures) Experience designing distributed systems and microservices Database experience (PostgreSQL, DynamoDB, or similar) Engineering Mindset Proven ability to build lean, internal solutions rather than relying on heavy external dependencies Strong system design skills with a focus on simplicity and scalability Comfortable working in fast-paced, early-stage environments Nice to Have Experience with Stellar ecosystem / Soroban specifically Knowledge of zero-knowledge proofs or zk-rollups Experience with custody solutions, MPC, or wallet infrastructure Familiarity with DevOps / CI-CD pipelines Frontend experience with React / Next.js (full-stack capability) What Success Looks Like You deliver robust tokenization infrastructure that scales with minimal overhead You design systems that are secure by default , especially around asset handling You reduce reliance on third-party services by building efficient in-house tools You help establish engineering best practices across blockchain and cloud systems This is an excellent role paying up to £100K - please revert. TPBN1_UKTJ

DevSecOps Engineer – Mid to Lead Level Location: London Type: Permanent Working Pattern: 4xFlex, 37.5 hours per week We are currently working with a client in the Defence and Security sector who are expanding their London-based team and are looking to hire DevSecOps Engineers with a strong focus on Infrastructure Engineering, across mid to lead level. This opportunity supports a range of programmes across the Defence, Cyber and Intelligence domains, delivering secure, scalable and high-performing infrastructure solutions within mission-critical environments. A key requirement for this position is the ability to obtain and maintain high-level security clearance. If you do not currently hold this, support will be provided throughout the application process. The Role: As a DevSecOps Engineer with an Infrastructure Engineering focus, you will play a central role in the design, integration, administration and security of systems and applications. You will be responsible for building and maintaining scalable, reliable and secure infrastructure, ensuring it supports complex and evolving technical environments. You will work within a multi-disciplined team, collaborating across engineering and delivery functions to integrate and deploy features effectively. Depending on your level of experience, you will either contribute to infrastructure delivery (mid-level) or take on additional responsibility for technical ownership, decision-making and guiding engineering activities (lead level). This role spans the full systems lifecycle, offering exposure to architecture, design, deployment, support, migration and decommissioning activities. You will also have the opportunity to work across Public, Private and Hybrid Cloud environments, helping to optimise performance, scalability and security. Key Responsibilities: Design, build, deploy and manage a broad range of IT infrastructure aligned to customer requirements Apply infrastructure engineering best practices to ensure systems are scalable, reliable and secure Develop Infrastructure as Code (IaC) and supporting scripts, integrating these into CI/CD pipelines and wider toolchains Drive automation and repeatability across infrastructure deployments and system integration Deliver full end-to-end systems lifecycle management, from initial architecture and design through to deployment, support, migration and decommissioning Support the integration and delivery of large and complex solutions within wider system-of-systems environments Contribute to integration, testing and deployment activities to ensure optimal performance and reliability Undertake deployments across Public, Private and Hybrid Cloud environments, identifying constraints and optimising infrastructure performance and security Collaborate with multi-disciplinary teams to ensure successful delivery of infrastructure solutions within DevSecOps frameworks Skills & Experience: Strong experience within DevSecOps environments, working within Agile methodologies (SCRUM, Sprints) Experience using tools such as Jira and Confluence for planning and collaboration Proficiency in Windows and Linux systems administration, including technologies such as Active Directory Experience with virtualisation technologies and concepts, including VMware vSphere, ARIA Ops performance monitoring and NSX (software-defined networking) Experience configuring and managing web proxy servers (e.g. Squid) Strong experience with automation technologies including Terraform, Ansible and Packer for complex builds Experience building and maintaining CI/CD pipelines (e.g. Jenkins) Understanding of Git-based version control (Git, Bitbucket, GitLab), including integration and branching strategies Knowledge of containerisation technologies such as Docker and Kubernetes Experience with scripting languages including PowerShell and Bash Experience using Python Solid understanding of networking fundamentals, including IPv4 addressing and routing Experience with logging and monitoring tools such as Zabbix and Splunk Understanding of cloud technologies and concepts, particularly AWS Certification (Desirable): AWS Certification / CCNA Certification / Oracle Java Certification / ISTQB Certification / OSCP Certification / Linux Administration (RHCSA or RHCE) / Microsoft Certified: Windows Server Hybrid Administrator Associate / Red Hat Certified Specialist in Ansible Automation (EX407) / Terraform / Associate Certification PLEASE NOTE: eDV clearance is required to start. The process can take up to 18 months Omega is an employment agency specialising in opportunities at all levels within the Engineering, Manufacturing, Aerospace, Automotive, Electronics, Defence, Scientific, Energy & Renewables and Tech sectors

Senior Security Engineer London (2x a week) Permanent About the Role We are exclusively partnered with a leading UK retail organisation that is currently undergoing a significant digital transformation. We are seeking a technical and hands-on Senior Security Engineer to design, implement, and operate robust security controls across a complex hybrid environment. In this role, you will bridge the gap between strategy and execution, serving as a technical authority for cloud platforms, identity systems, and endpoint security. You will collaborate closely with Network, Infrastructure, and Application teams to ensure that "secure-by-design" solutions are woven into the fabric of the entire ecosystem. Key Responsibilities Hybrid Architecture & Governance: Design and implement security controls across Azure, on-prem servers, and SaaS applications while maintaining hardening standards based on CIS and NIST benchmarks. Identity & Access Security: Define standards for Entra ID and Active Directory, overseeing requirements for Conditional Access, MFA, SSO, and PIM. Threat Detection & Incident Response: Own and operate the SIEM/SOAR stack, including Microsoft Sentinel and Defender XDR, to develop detection rules and support forensic investigations. Infrastructure Hardening: Enforce secure baselines across virtualized environments (VMware/Hyper-V), Windows Servers, and Azure IaaS workloads. Data Protection: Manage the certificate lifecycle (PKI/AD CS) and implement data classification and DLP strategies using Microsoft Purview. Cloud Security Posture: Manage Azure Landing Zone security and connectivity, collaborating with Network Engineering to validate secure firewall and VPN configurations. Compliance & Risk: Support audit readiness for ISO 27001, PCI DSS, and Cyber Essentials Plus, ensuring all remediation progress is tracked and documented. Essential Skills & Experience: Experience: 5–10 years in cloud or infrastructure security roles. Azure Expertise: Deep experience with Defender for Cloud, Sentinel, and Azure security configurations. Identity Mastery: Strong knowledge of Microsoft Entra ID, AD DS, RBAC, and hybrid identity security. Technical Proficiency: Hands-on experience with EDR (MDE), CSPM tools, and vulnerability management platforms. Security Principles: Practical understanding of Zero Trust architecture and secure-by-design methodologies. Compliance Knowledge: Familiarity with PCI DSS, NIST, and ISO 27001 frameworks. Desirable Skills: Awareness of AWS security fundamentals (Guard Duty, KMS, IAM Identity Centre). Experience with Infrastructure as Code (IaC) security (Terraform, Bicep) and DevSecOps practices. Scripting for automation using PowerShell or Python. Qualifications & Soft Skills Education: Bachelor’s degree in Computer Science, Information Security, or equivalent experience. Certifications: Preferred certifications include AZ-500, SC-300, SC-100, or CISSP/CCSP. Attributes: An analytical mindset with the ability to remain composed under pressure during security incidents. Collaboration: Excellent communication skills to engage with diverse stakeholders across the technology organization. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity

We have a current opportunity for a Rust Engineer on a permanent basis. The position will be based in London. For further information about this position please apply. The Opportunity Most engineers spend their careers a long way from systems that actually matter. ETrading, you will build the infrastructure that sits between our traders and the market - execution paths, data pipelines, and observability tooling that power trillions in annual notional volume. When a system performs at 3am under peak load, you will be one of the reasons why. This is a rare opportunity to apply Rust in a domain where performance directly changes outcomes, and where your engineering decisions carry real commercial weight. Requirements 5-10 years software engineering; 3+ years production Rust - ownership, lifetimes, and async model are instincts, not references Tokio and the broader async Rust ecosystem; concurrent, lock-free, and wait-free data structures in live systems Low-latency system design; hot path optimisation, benchmarking, and hardware-level profiling - cache topology, NUMA effects, allocator behaviour Custom allocator design, unsafe code review, and rigorous reasoning about memory safety at system boundaries High-performance network programming: TCP/UDP, zero-copy I/O, kernel bypass awareness (DPDK, io_uring) Distributed messaging and event streaming: Kafka, NATS, or equivalent; ordering guarantees, exactly-once semantics, consumer group management Production observability: metrics (Prometheus/OpenTelemetry), distributed tracing, structured logging, and alert design CI/CD pipeline design including benchmarking gates, automated performance regression detection, and reproducible builds TDD as a design discipline - property-based testing, integration tests, chaos and fault injection experience Ability to lead architecture design reviews, author ADRs, and elevate Rust engineering standards across a team Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have Front office trading environment (any asset class) - execution systems, market data infrastructure, or low-latency pricing engines FIX protocol, OMS/EMS connectivity, or direct exchange co-location experience SIMD, vectorisation, or GPU offloading for numerical workloads; eBPF for observability or network instrumentation Open-source Rust contributions, published crates, or ring-buffer/LMAX Disruptor pattern experienceWhat We're Looking For You find the bottleneck before anyone reports it, understand it at the hardware level, and instrument the fix so the next problem surfaces in seconds. You write Rust other engineers learn from and care deeply whether a system is correct - not because a spec says so, but because you know what happens when it isn't. To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Software Cyber Engineer - Python - Remote (UK) Salary: Up to £75,000 DOE Location: Fully remote (UK) A growing technology-focused cyber security organisation is seeking a motivated Software Engineer with strong Python skills to contribute to the development of internal data-driven platforms. This role involves building and improving systems that gather, process, and analyse large datasets to support research and operational decision-making. Key Responsibilities Develop and enhance a Python-based Cyber Security platform, ensuring it remains scalable, stable, and capable of handling high data volumes Build and maintain automated cyber event data pipelines to ingest and process information from multiple internal and external sources Refine existing systems and workflows to improve performance, reliability, and efficiency Support system availability through monitoring, logging, and general platform maintenance Core Requirements 3+ years of experience in software engineering Strong proficiency in Python, including experience with web frameworks (e.g. Django) and automation pipelines Experience designing scalable systems, working with containerised environments, and building automation workflows Familiarity with modern AI tools/LLM to enhance productivity or automate processes Experience handling large-scale data ingestion and processing, with exposure to search or analytics technologies Understanding of cloud environments (AWS, Azure, or GCP), infrastructure-as-code, and CI/CD practices Experience developing internal tools, automation frameworks, or contributing to technical projects Exposure to fast-paced or scaling environments, with the ability to adapt to changing priorities A background in cybersecurity / understanding of the principles of attacks (desirable) Proactive mindset with a focus on continuous improvement Ability to quickly learn and apply new technologies If you are an experienced Software Engineer with significant python experience, please click 'Apply Now' or send your CV to faye . landells @ circlerecruitment . com You must be based in and have full unrestricted right to work in the UK. Unfortunately our client is not able to consider applicants who require sponsorship and / or relocation. Keywords: Software Engineer / Cyber Security Engineer / Python / AI / LLM / Cloud / Remote / UK Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment. TPBN1_UKTJ

Senior Full-stack Python Typescript AI Engineer- Outside IR35 ROLE This position is for a Senior Backend Developer working in python and typescript to support the development on a SaaS product with a focus on Ai. This role involves designing, building, and optimising scalable backend services and APIs to support a single-tenant, multi‑instance SaaS platform, while contributing to the architecture and implementation of AI‑driven components such as Retrieval‑Augmented Generation (RAG) pipelines, vector databases, semantic search, and structured or knowledge‑graph‑based data modelling approaches. You will support the design of robust data models and pipelines capable of handling both structured and unstructured data with strong traceability and auditability, and help transition prototypes into production‑ready systems with a focus on security, access control, performance, reliability, observability, and monitoring. The role also includes building and managing integrations with external data sources and APIs, collaborating closely with a small, cross‑functional team of developers and stakeholders to refine requirements and deliver iteratively, and contributing to best practices across development standards, testing, and deployment processes. REQUIREMENTS: Strong experience as a backend or full-stack developer with a backend focus Strong proficiency in key scripts, such as Python and TypeScript Proven experience building production-grade SaaS applications Development experience with AI/LLM system architecture, including: RAG pipelines Vector databases (e.g. Pinecone, Weaviate, FAISS, etc.) experience with relational databases (e.g. PostgreSQL) and data modelling Familiarity with API design and integration (REST or GraphQL) experience working with cloud environments (e.g. AWS, Azure, GCP) Job Title: Senior Full-stack Python Typescript AI Engineer Location: London, UK Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

Senior EUC Infrastructure Engineer (MDM/EMM) - Hybrid – Multiple UK Locations - £700 p/d (Inside IR35) - 6 Months (initial) - SC Clearance Required / Eligible (not lapsed) The Opportunity Our enterprise corporation that is government backed is hiring a Senior EUC Infrastructure Engineer to assist with a 10,000-user management and optimisation programme rolling out AirWatch within a SaaS environment coupled with Windows 11. You must have experience with AirWatch at an enterprise level to be considered for this role and have SC clearance or eligible for vetting. Anyone who applies who does not have this experience will not be considered. The Role Manage and optimise Workspace ONE / AirWatch (iOS & Android) Troubleshoot, upgrade, and maintain MDM / UEM platforms Deploy policies, configurations, and security controls Manage device lifecycle, patching, and enterprise app store Support large-scale environments (10,000+ users) Work with architects on infrastructure design and improvements What You’ll Need Strong experience with Workspace ONE / AirWatch (essential) Experience managing iOS & Android enterprise devices Knowledge of mobile security & device hardening Exposure to Windows 11 / macOS device management Experience supporting large environments (10k+ users) Cloud exposure (Azure / AWS / GCP) SC Clearance (active or eligible) One stage interview process, to start ASAP. Applicants with 3 months’ notice will not be considered. Senior EUC Infrastructure Engineer (MDM/EMM) - Hybrid – Multiple UK Locations - £700 p/d (Inside IR35) - 6 Months (initial) - SC Clearance Required / Eligible (not lapsed)

We have a current opportunity for a Quant Developer on a permanent basis. The position will be based in London. For further information about this position please apply. Requirements 10-15 years combined quant research and software engineering; minimum 5 years embedded in a front office (any asset class) Options pricing across the full surface - vanilla, spreads, and structured products in commodity or energy markets Vol surface calibration: smile fitting, SABR, SVI, Heston, or equivalent; arbitrage constraints and numerical stability in production Greeks and second-order risk: delta, gamma, vega, volga, vanna, theta; PnL attribution and daily risk reconciliation VaR, stressed VaR, and scenario analysis implementation; working knowledge of regulatory capital frameworks Commodity modelling: term structure, forward curve construction, seasonality, convenience yield, and basis risk Real-time pricing and risk system design - latency-aware implementation, incremental recalculation, and feed-driven revaluation Backtesting framework design: walk-forward validation, statistical significance testing, and performance attribution Production-quality Python and/or C++ - code an engineer can review, a CI pipeline can test, and an ops team can support kdb+/q, DB, or TimescaleDB for high-frequency time-series market data storage and analysis Ability to set a research agenda independently and communicate risk and findings clearly to senior traders and management Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path-dependent exotics common in commodity markets Machine learning applied to vol forecasting, regime detection, or execution cost optimisation Open-source quant library contributions, published research, or CQF/MFE/PhD in a quantitative disciplineTo find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Due to progression, this role exists to replace a senior engineer within a well-established software company operating in the highly regulated energy sector. Senior Python Software Engineer Circa £56,000 + up to 15% bonus | Hybrid (2 days per week in Oxford) The software you'll work on is business critical. It must be reliable, auditable, and able to stand up to regulatory scrutiny. That shapes how engineering is done here: considered design, well-tested code, and a focus on doing things properly rather than quickly. If you're a Python engineer ready to take on more responsibility, mentor others, and work in an environment where engineering discipline matters, this role is designed for you. What you'll be working on You'll join a software-led organisation, contributing to the design, development, and ongoing improvement of commercial systems used within a regulated energy environment. Your work will include: Building and maintaining Python-based services and applications Writing clear, well-tested, and maintainable code Contributing to design decisions and agreed technical standards Reviewing code and helping raise engineering quality across the team Supporting reliable releases in a cloud-hosted environment You'll report directly to a Principal Software Engineer and work alongside experienced engineers who value clarity, quality, and pragmatic problem-solving. What 'senior' means here This is not a people-management role. Seniority is demonstrated through: Sound technical judgement Ownership of complex pieces of work Mentoring and supporting less-experienced engineers Leading by example in code quality, testing, and delivery It's well suited to someone who may not yet hold a senior title, but is already operating at that level and ready to step up. Essential experience Commercial experience developing software with Python Experience building and maintaining production systems A strong approach to testing and code quality Experience working in a cloud environment AWS Working pattern and location Hybrid role with 2 days per week onsite Office location: Oxford Salary and benefits Circa £56,000 base salary Bonus up to 15% (personal and company performance) 25 days' annual leave plus bank holidays Pension scheme (4% employer contribution when you contribute 5%) Health care scheme (including dental and eye care) EV car scheme (terms apply) Free onsite gym Employee Assistance Programme and wellbeing support Paid volunteering day each year Interested? If you're a Python engineer looking to step into a senior-level role, working on meaningful software in a regulated environment, this is worth a conversation. Apply directly or contact Chris Lynes at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. TPBN1_UKTJ

Senior Data Engineer (Python/PySpark & SQL) London (Hybrid - 3 days in office | Monday, Tuesday, Wednesday) Up to £85,000 dependent on experience Ref: J13073 We're working with a fast-growing AI SaaS business where data sits at the core of everything they build. They're looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: ·You'll design and maintain data pipelines, handle edge cases, and ensure data quality as the platform scales. ·The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery. ·You'll also play a key role in supporting and mentoring other engineers through code reviews and collaboration. ·You'll be joining a supportive team that values different perspectives, encourages thoughtful problem solving, and gives engineers the space to contribute in their own way. What we're looking for: ·Strong Python and SQL experience in production ·Experience with Spark, Snowflake, BigQuery or similar ·Cloud experience (AWS, GCP or Azure) ·Comfortable working with complex, messy data ·Experience owning pipelines end-to-end ·Collaborative mindset with mentoring experience If you enjoy building the data foundations behind AI products, this could be a great fit. Get in touch today to find out more Right to work in the UK required (no sponsorship available) If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) <(url removed)

We are seeking a highly skilled and experienced Third Line Citrix SME to join our on-site support team. This role is critical in ensuring the stability, performance, and scalability of our Citrix environment. You will act as the technical authority for Citrix-related issues, providing expert-level support, leading troubleshooting efforts, and contributing to strategic infrastructure initiatives. The DXC Third Line Citrix Engineer is an experienced, multi-skilled professional, responsible for the support, maintenance & expansion of our UK Secure Client environments, ensuring a smooth and reliable experience for the end user base. The successful candidate should be a driven individual that enjoys problem solving and taking control of situations to drive home technical solutions whilst putting our customers needs first. The role is expected to be mainly based in Preston. Due to the customer requirements successful applicants must be eligible for high level UK Security clearance. The Roles Primary Responsibilities: Provide Third-Line Technical Support for incident escalations & problem record progression. Point of contact for Citrix infrastructure, including XenApp, XenDesktop, Citrix Cloud, and NetScaler. Lead the diagnosis and resolution of complex technical issues across Citrix platforms. Manage and optimise Citrix policies, profiles, and user experience. Collaborate with architecture and engineering teams to design and implement Citrix solutions. Support patching, upgrades, and migrations of Citrix components. Both proactive and reactive problem record progression and root cause analysis. Pro-active approach towards defect management resolutions as part of technical assurance activities. Confidence in working with internal and cross capability teams alongside account and customer engagement. Maintain a high degree of customer service for all support queries and adhere to all service management principles Essential Skills & Experience: Proven experience within a Third Line Support role Strong knowledge of Citrix Virtual Apps and Desktops, Citrix Cloud, NetScaler ADC, and Citrix Workspace Environment Management (WEM). Experience with Windows Server, Active Directory, Group Policy, and FSLogix. Strong understanding of ITIL processes and enterprise support models. Operations VMWare, HyperV, XenServer, Invanti Desirable to have a working knowledge of supporting UK Secure Paradox solution (Becypt). Analytics, specifically Systrack / Nexthink (Non Essential training provided). Strong knowledge of Microsoft based operating systems, including, Windows 10 & Win11 Desirable Qualifications Citrix Certified Expert Virtualisation (CCE-V) or equivalent. Microsoft certifications (e.g., MCSA, MCSE). Exposure to cloud platforms (Azure, AWS) and hybrid environments. 2+ Years experience working within a third line support environment About you: Candidates looking to develop their careers within DXC, with a drive to learn Passionate about technology. Natural problem solver. Ability to work with an Agile Team, being able to be self-driven and looking for continuous improvements. What We Will Do For You Competitive compensation Pension scheme DXC Select Our comprehensive benefits package (includes private health/medical insurance, , gym membership and more) Perks at Work (discounts on technology, groceries, travel and more) DXC incentives (recognition tools, employee lunches, regular social events etc) Still reading? Wed love to hear from you apply today. TPBN1_UKTJ

Data Engineer Salary: £40 - 72K + Benefits Location: London or Manchester (aligned to office for client on-site requirements) Working Pattern: Hybrid / On-site depending on client needs Security Clearance: SC Clearance required You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens. This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments. Role Responsibilities Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads. Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach. Collaborate closely with data scientists to enable effective use of data for analytics and machine learning. Build and operate cloud-based solutions, with a strong focus on AWS services. Work with messaging, streaming, or data flow technologies to support real-time and batch data processing. Contribute to infrastructure and platform automation using Infrastructure as Code. Participate in agile ceremonies, technical design discussions, and code reviews. Ensure solutions meet security, performance, and reliability requirements within public sector environments. What You Will Bring to the Team A strong interest in data, particularly data engineering, data science, or machine learning. A solid technical background, with experience in Java, Python, TypeScript, or similar languages. Experience developing software using TDD or a strong willingness to adopt TDD practices. Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams. Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. A proactive mindset with attention to detail and a commitment to quality. Desirable Skills and Experience Experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector delivery environment. Familiarity with secure or regulated environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you. TPBN1_UKTJ

Job Title: Software Engineer Location: London Salary: TBC - We are booking interviews in next week! Please call or email for a slot As a Software Engineer you'll play a pivotal role in developing cutting edge DevSecOps software systems and applications. You'll be at the forefront of driving innovation and safeguarding digital infrastructures in the UK. The Role: So, what will you be doing as a Software Engineer? Typically, you will be involved in one or more of the following: Planning, conducting and coordinating software development activities. Working with customers and key stakeholders to identify requirements and ready to advise on and influence the adoption of suitable architectures and solutions. Design and development of tests to debug software. Working with customer requirements that are to be programmed into business/mission applications, whilst utilising the appropriates standards, processes and tools throughout the entire development lifecycle. Mentoring of junior engineers. Analysis of system capabilities to resolve questions of program intent, output requirements, input data acquisition, programming techniques, and controls. Championing automation in the form of IaC, CI/CD and test automation. Extra info: Expert knowledge of current Java. Proficient in another language such as Python, C++, JavaScript, TypeScript, React. Advanced knowledge of AWS Services such as EC2, EKS, Fargate, IAM, S3, Lambda. Advanced knowledge of CI/CD software pipelines for Cloud deployments. Expert knowledge of developing software for cloud deployment - specifically AWS. Expert in developing software for microservice and or serverless architectures. Advanced understanding the development challenges moving on-prem workload to cloud. Experience of developing on Linux. Advanced understanding of mocking and unit testing frameworks such as JUnit 5.x (Jupiter). Expert with Git version control. Proficient in Agile Development using SCRUM. Advanced knowledge of Oracle/ Relational Databases and/or Mongo. Experience of GitLab CI/CD Pipelines. Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Advanced knowledge of Hibernate.We would love to hear from you if you have any of the following Qualifications or Certifications: Oracle Java Certification. AWS Certification. ISTQB Certification. OSCP Certification. CCNA Certification. My client is keen to get this position filled ASAP, so if you feel you have the skills and desire to provide passion and drive as the next Software Engineer, this is the opportunity for you! You will be required to undergo DV clearance for this role. So, if you are interested in joining a well-established, renowned, globally recognised organisation working with experts in their field as the next Software Engineer, hit that apply button now! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

Senior DevOps Engineer – 6-month contract – London/Remote – SC Clearance – Inside IR35 My Financial Customer is looking for a Senior DevOps Engineer to join a growing technology team responsible for maintaining and evolving a complex on-premise platform. This role will play a key part in ensuring the reliability, performance, and continuous improvement of the organisation’s technical estate while supporting the delivery of new services. This Senior DevOps Engineer is required to have experience with the following: Cloud Platform (Azure, AWS, or GCP), Kubernetes, IaC using Terraform and CI/CD pipelines. Skills & Experience required from the Senior DevOps Engineer: Active SC Clearance Cloud Platforms (Azure, AWS, or GCP) Strong experience supporting production environments, including on-call support and release management. Hands-on experience with Kubernetes or OpenShift in on-premise environments. Proven background in Linux system administration Experience implementing Infrastructure as Code, ideally using Terraform, integrated with CI/CD pipelines such as Jenkins. Observability platforms including logging, monitoring, and alerting tools such as ELK, Splunk, Prometheus, or Grafana. Experience improving DevOps tooling and contributing to technology roadmaps. Strong knowledge of Agile methodologies and modern DevOps practices. Experience working in the financial industry would be beneficial. Key Responsibilities of the Senior DevOps Engineer: Support, maintain and enhance the organisation’s core platform and supporting infrastructure. Manage the promotion of code across environments, ensuring safe and controlled releases from pre-production through to live. Champion continuous improvement and modern DevOps practices, helping teams adopt automation-first approaches across build, deployment, and release processes. Provide technical mentorship and guidance to engineers, sharing best practices and supporting professional development within the team. Collaborate with architects and solution designers to align technical delivery with long-term product and technology roadmaps. Lead incident management activities, coordinating major incident responses and ensuring effective communication with stakeholders. Support a 24/7 production environment, including participation in an on-call rota and out-of-hours release support when required. Apply now to speak with VIQU IT in confidence. Or reach out to Connor Smal via the VIQU IT website. Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment

SecOps Engineer - Central London Up to £75,000 PA Well-established and highly profitable construction engineering business is seeking an experienced SecOps Engineer to join them on a permanent basis. This is a critical leadership role within an organisation undergoing significant digital transformation, with ambitious growth and acquisition plans driving demand for scalable, standardised and efficient business applications. This role is ideal for a proactive security professional with strong technical expertise across application, network and infrastructure security. You will play a key part in implementing security controls, mitigating risk and contributing to the continuous improvement of the company's overall security posture. Responsibilities: Monitor security tools including SIEM (QRadar) and respond to threat detection alerts Triage, analyse and prioritise security (via ServiceNow) Investigate root causes of security issues and design effective remediation solutions Oversee Patch Management Conduct vulnerability scans with Qualys, analyse results and prioritise remediation Document SecOps processes and create knowledge base articles in line with best practices Automate security tasks and toolchains using scripting (PowerShell, Batch, etc.) Collaborate with external SOC teams Prepare post-incident reports and root cause analyses Manage end-user device (EUD) security via MS Intune, Sophos and NinjaOne Schedule and assess vulnerability scans on critical infrastructure Maintain patching compliance for OS, Microsoft Office and third-party applications Support infrastructure teams to deploy systems, enhance security policies and manage security-driven changes Produce weekly security operations reports Manage Cisco Umbrella web filtering and SSL inspection policies Requirements: Previous hands-on experience in SecOps or Incident Response Recognised Security certifications such as Security+, CEH, or Microsoft security certifications Strong knowledge of Microsoft Windows OS security and hardening Working PowerShell scripting ability for automation tasks Solid understanding of cloud-native security across M365, Azure and AWS Experience with enterprise IT infrastructure Any experience with the following will be highly favoured: Strong experience with Qualys Exposure to Varonis Network security knowledge or relevant certifications (TCP/IP, VPNs, routing, segmentation) Experience working with ServiceNow Initially 4 days per week onsite, dropping to 3 once passed probation (this is not negotiable)

DevOps Engineer - Wearables A new role has become available for a DevOps Engineer at a company which is developing cutting edge wearable payments technology. With this payment solution being used by financial institutions, wearable manufacturers as well as events and stadium owners, the possible applications of this secure payment technology are endless. As a DevOps Engineer you will be in charge of designing and maintaining both cloud and physical infrastructure. For the cloud side, they use AWS and as part of the physical infrastructure, you will need to go to their datacentre from time to time. This role is ideal for a junior-mid level engineer, hoping to exapnd their skills and knowledge. This is a highly varied role where you will get the opporunity to own and drive forward DevOps projects in this company. Some you the AWS services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail and SNS/SQS. Requirements: - AWS experience - Cisco and Juniper switches / firewalls - Linux based servers or similar Apply: Kristian AT enterpriserecruitment DOT com Position: DevOps Engineer - Wearables Salary: Up to £60K

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR1 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position

AI Platform Engineer | London | Excellent Salary +Benefits Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic workflows.Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems, including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia). Proficiency in Python, with experience deploying containerised services on Kubernetes using Terraform. Solid understanding of distributed systems, cloud architecture, and API design, with a focus on scalability and reliability. Demonstrable ownership of observability, performance, cost efficiency, and operational robustness in production environments.Why Join? You'll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position

Contract Node.js & React Engineer 6‑month contract (extensions likely) £400 per day – Inside IR35 60% Hybrid – Newcastle, London, Leeds or Blackpool Opus is working with a leading consultancy delivering high‑impact services for a UK Government department. We’re looking for a Node.js & React Engineer with Nunjucks experience to help build and evolve accessible, high‑volume digital systems. What You’ll Be Doing Building user‑facing features using React & TypeScript Developing server‑side functionality with Node.js Working with Nunjucks templating for government service patterns Supporting high‑traffic, transactional systems Writing clean, test‑driven code (TDD / Jest) Improving CI/CD pipelines and development automation Contributing to ever‑greening and modernisation Ensuring WCAG‑compliant accessibility Collaborating across multiple agile delivery teams✅ Required Experience Strong JavaScript experience (frontend & backend) React with modern frontend practices Node.js Nunjucks templating experience TypeScript TDD and automated testing CI/CD tooling (GitLab CI, Jenkins or GitHub Actions) Experience delivering large‑scale digital services⭐ Nice to Have CASA or (url removed) Design System experience SQL / NoSQL databases Redis or similar caching tools API & microservices integration Cloud platforms (AWS or Azure) Docker / containerisation exposure SC eligibility (not mandatory) Apply now or get in touch to discuss suitability and team fit

Contract Lead Ruby Developer– (UK Remote) 100% Remote (EU-Based Candidates Only) ⏳ 12-Month Contract We are supporting a leading organisation in the insurance sector as they scale and modernise their cloud‑based core platform. They are looking for an experienced Senior Ruby Engineer to join on a 12‑month contract, working fully remotely from anywhere within the UK. Role Overview You’ll be a senior member of an engineering squad building, enhancing, and optimising a modern cloud-native system used across a major insurance operation. This is a hands‑on development role where you’ll contribute to new features, performance improvements, integrations, and architectural evolution within a high‑performing engineering culture. What You’ll Be Working On Developing and maintaining backend services using Ruby / Ruby on Rails Building scalable, maintainable components within a cloud-native architecture Collaborating with product, cloud, and DevOps teams to deliver high‑impact functionality Contributing to technical decisions, best practices, and code quality improvements Integrating third-party services and APIs within a complex insurance environment Supporting ongoing migration, modernisation, and cloud optimisation initiatives What We’re Looking For Strong commercial experience as a Senior Ruby or Ruby on Rails Engineer Deep understanding of distributed systems and cloud-based application design Extensive hands‑on experience with AWS Solid background in building scalable APIs, microservices, and backend systems Familiarity with CI/CD pipelines, DevOps tooling, and modern cloud workflows Excellent communication skills and ability to operate within a cross-functional, remote team Must be based within the UK for compliance and time zone alignment ✨ Nice to Have Experience in insurance, financial services, or other regulated industries Exposure to containerisation (Docker/Kubernetes) Knowledge of security best practices in cloud environments

Software Engineer / Full Stack Developer (Python React Golang AWS) London to £90k Are you a full stack technologist who enjoys working on Greenfield apps? You could be progressing your career as a Software Engineer at a tech scale-up that are enjoying great success with their AI workforce optimisation software that connects flexible temporary workers (e.g. students) with clients in the hospitality industry, enabling clients to maximise staff in busy times through AI scheduling. What's in it for you: Salary to £90k Stock options Private medical care Gym and dog friendly office Influential role that you can shape as the company grows Your role: As a Software Engineer you'll design and develop new features and enhancements as the company scales from 250,000 users through to millions and transitions from a monolith to microservices architecture. You'll work across the full software development lifecycle, taking ownership of Greenfield projects, working with a range of technology from Python and Go on the backend through to Django and Flutter on the frontend within an AWS cloud environment. Location / WFH: You'll join colleagues in the North London office 3-4 days a week where you can enjoy a range of perks including paid for gym and dog friendly office (as well as great bars and restaurants for after work!). About you: You have Full Stack development experience, having worked with Python and Go / Golang, as well as Django, Flutter, or React, databases (PostgreSQL) and AWS You have a strong understanding of distributed systems and event-driven architectures You enjoy working on Greenfield projects in fast paced environments, ideally you will have start-up or scale-up experience You're collaborative, curious and keen to learn new technologies - comfortable working with AI tools such as Claude You are degree educated in Computer Science or similar technical discipline, having achieved a 2.1 or above from a top tier university Apply now to find out more about this Software Engineer / Full Stack Developer (Python React Golang AWS) opportunity. TPBN1_UKTJ

We are looking for a Principal Network Engineer to join a high-profile Government Digital function. In this role, you will act as the Technical Design Authority (TDA) for a national-scale digital infrastructure, providing strategic leadership for one of the most complex network estates in the UK. As a Principal Engineer, you won't just be managing technology; you will be managing the technical roadmap. You will bridge the gap between high-level policy requirements and low-level engineering execution, ensuring a secure-by-design, resilient, and automated network environment. Key Responsibilities Technical Design Authority: Lead the architectural direction and serve as the final escalation point for complex network routing, switching, and security issues. Strategic Transformation: Drive the migration from legacy infrastructure to a modern, automated SD-WAN and Multi-Cloud ecosystem (AWS/Azure). Leadership & Governance: Manage technical relationships with Tier 1 Implementation Partners and internal delivery teams to ensure alignment with departmental standards. Automation Strategy: Champion 'Network as Code' initiatives, overseeing the deployment of CI/CD pipelines for network configuration and monitoring. Stakeholder Influence: Provide authoritative advice to Senior Civil Service (SCS) leaders on risk, budget, and technological investment. Technical Stack & Requirements Routing & Switching: Expert-level knowledge of Juniper (Mist/SSR) and/or Cisco enterprise solutions. SD-WAN: Proven experience designing and implementing tunnel-less or session-smart routing architectures. Public Cloud: High proficiency in AWS Cloud WAN , Azure ExpressRoute , and secure transit gateway connectivity. Security: Deep understanding of Palo Alto or Fortinet firewalls within a Zero Trust framework. Infrastructure as Code: Hands-on experience with Terraform , Ansible , and Python for network automation. Standards: Strong familiarity with NCSC security principles and GDS service standards. Essential Criteria Current SC Clearance: You must hold active SC clearance to be considered. Principal Level Experience: Demonstrable experience leading large-scale network departments at senior level Communication: Exceptional ability to translate complex technical jargon into strategic business value for non-technical leaders. TPBN1_UKTJ

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Projecti Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter. Role Overview Are you a Performance Tester who loves breaking things to make them better? We are looking for a Performance Test Engineer to join our team, focusing on load and performance testing for large-scale digital services. This is a technical, delivery-focused role where you’ll work within structured environments to ensure that the services millions of UK citizens rely on are fast, resilient, and scalable. You will work under the guidance of a Lead Tester, giving you a fantastic platform to grow your technical expertise in a supportive, high-impact consultancy. Key Responsibilities Execute & Analyze: Run load, stress, and soak tests to identify where systems might struggle under pressure. Scripting: Maintain and update performance test scripts using modern tooling. Collaboration: Work with developers and architects to gather Non-Functional Requirements (NFRs) and validate capacity assumptions. Environment Management: Execute tests within cloud-hosted (AWS) environments and help manage test data. Defect Reporting: Raise clear, evidence-based performance defects and participate in triage sessions to help get them fixed. Documentation: Contribute to test reports and keep execution runbooks up to date. Essential Skills & Experience Performance Testing Foundation: Proven experience in testing enterprise-level or distributed systems. Tooling: Hands-on experience with at least one major tool: JMeter, Gatling, k6, or LoadRunner. Technical Knowledge: A good understanding of APIs, HTTP protocols, and how databases/caching affect performance. Data Analysis: Ability to analyze logs and monitoring data to spot bottlenecks. Agile Mindset: Comfortable working in Agile or hybrid delivery models. Scope & Accountability You will be responsible for the day-to-day execution of performance tests. You’ll own the accuracy of your test results and provide clear recommendations to the team. You will report to a Lead Performance Tester who will support your professional development. Our Commitment to Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where everyone is respected, valued, and supported. We actively encourage applications from women, people with disabilities, individuals from underrepresented communities, and those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout the recruitment process and employment to ensure equal opportunity for all

Your new company Working for a globally renowned financial organisation Your new role We are seeking 2x Senior Software Engineer / Data Platform Engineer's to support the ongoing evolution of a large‑scale financial data platform. Our environment combines long‑established enterprise systems and legacy components with modern cloud‑based services running on AWS. The platform processes high‑volume structured data and underpins both internal systems and customer‑facing products. A substantial portion of the platform is built on large SQL Server data estates, so strong SQL expertise is essential. The successful candidate will play a key role in modernising core systems, improving performance and reliability, and delivering scalable services for the next generation of the platform. This role is ideal for engineers who can work confidently across both legacy and modern architectures, and who have deep experience designing and building robust APIs and data services. What you'll need to succeed Great SQL Server development/ optimisation experience. Strong AWS knowledge (Lambda, Amazon S3, API Gateway). Experience working in environments with legacy estates/ servers. Experienced with programming languages such as Python or C#. Background in financial services or data‑heavy platforms with experience with legacy/ modern platforms. Solid mathematical or quantitative background would be beneficial for analytics‑focused work. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

We have a current opportunity for a Head of Azure Platform Security on a permanent basis. The position will be based in London. For further information about this position please apply. Requirements Hands-on Azure cloud security architecture and implementation - Defender for Cloud, Policy-as-Code, RBAC, PIM, private endpoints, and secure landing zone design; AWS security experience also considered Network security engineering: firewall policy design and lifecycle management, micro-segmentation, NSG/UDR/NVA architecture, hub-spoke topology, and perimeter defence for hybrid environments WAF design, deployment, and operational tuning - Cloudflare, Azure Application Gateway, or equivalent; custom rule authoring and false-positive management at production scale Network flow log analysis and intrusion detection engineering - building detection logic for lateral movement, beaconing, anomalous egress, and C2 patterns SIEM engineering: detection rule authoring (KQL, SPL, or equivalent), log pipeline design, alert correlation, triage workflow - you write the rules, not just read the dashboard Endpoint and desktop security: EDR deployment and tuning (Defender for Endpoint, CrowdStrike), Intune/Jamf device management, privileged access workstations, JIT/JEA models API and application security: threat modelling (STRIDE/PASTA), OAuth 2.0/OIDC implementation review, secrets management (Key Vault, HashiCorp Vault), and secure SDLC integration PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them MITRE ATT&CK coverage mapping; threat hunting, adversary emulation, and proactive gap analysis against realistic TTPs Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation DDoS mitigation, BGP security, and network resilience engineering for latency-sensitive financial infrastructure ISO 27001, SOC 2, DORA, or equivalent - hands-on implementation, not just audit participation Red team, adversarial simulation, or penetration testing programme design - experience on both sides of the exerciseWhat We're Looking For You are a builder first and a security engineer second - meaning you solve security problems by engineering better systems, not by writing longer policies. You find the gap before an attacker does because you have thought about how you would exploit the environment yourself. A Requirements Hands-on Azure cloud security architecture and implementation - Defender for Cloud, Policy-as-Code, RBAC, PIM, private endpoints, and secure landing zone design; AWS security experience also considered Network security engineering: firewall policy design and lifecycle management, micro-segmentation, NSG/UDR/NVA architecture, hub-spoke topology, and perimeter defence for hybrid environments WAF design, deployment, and operational tuning - Cloudflare, Azure Application Gateway, or equivalent; custom rule authoring and false-positive management at production scale Network flow log analysis and intrusion detection engineering - building detection logic for lateral movement, beaconing, anomalous egress, and C2 patterns SIEM engineering: detection rule authoring (KQL, SPL, or equivalent), log pipeline design, alert correlation, triage workflow - you write the rules, not just read the dashboard Endpoint and desktop security: EDR deployment and tuning (Defender for Endpoint, CrowdStrike), Intune/Jamf device management, privileged access workstations, JIT/JEA models API and application security: threat modelling (STRIDE/PASTA), OAuth 2.0/OIDC implementation review, secrets management (Key Vault, HashiCorp Vault), and secure SDLC integration PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them MITRE ATT&CK coverage mapping; threat hunting, adversary emulation, and proactive gap analysis against realistic TTPs Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation DDoS mitigation, BGP security, and network resilience engineering for latency-sensitive financial infrastructure ISO 27001, SOC 2, DORA, or equivalent - hands-on implementation, not just audit participation Red team, adversarial simulation, or penetration testing programme design - experience on both sides of the exerciseWhat We're Looking For You are a builder first and a security engineer second - meaning you solve security problems by engineering better systems, not by writing longer policies. You find the gap before an attacker does because you have thought about how you would exploit the environment yourself. A security incident is not just a technical failure - it is a business one. You bring hands-on capability, genuine innovation, and the rigour to make this organisation measurably more secure every quarter. security incident is not just a technical failure - it is a business one. You bring hands-on capability, genuine innovation, and the rigour to make this organisation measurably more secure every quarter. To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Java Software Engineer - DV Cleared - Onsite As a DV-cleared Software Engineer in Gloucester, you'll develop impactful solutions for government clients, working on Java and Ansible technologies. This role offers a collaborative environment with opportunities to mentor, learn new skills, and contribute to vital projects. What You'll Do: Design, develop, test, and document software systems using Java Focus on data processing using Ansible Support cloud infrastructure (AWS, Docker, microservices) Mentor junior developers and analyse code defects Collaborate in an Agile team environment Requirements: Must have active DV Clearance: UKIC DV Strong experience with Java and Ansible Proven problem-solving ability Team player with good communication skills Willing to work on-site (Gloucester/Cheltenham) 5 days a week Nice to Have: Cloud platform knowledge (AWS, Docker) Security sector experience Mentoring experience Ready to make an impact in national security? Apply now and become part of a mission-driven team! TPBN1_UKTJ

The Company This business is a rail software and consulting company with a growing team and a solid foundation of project-based revenue. It works with leading organisations across the UK rail industry, helping them harness data to solve complex operational challenges. Data Engineers are key to this mission - building robust data infrastructure and tooling that powers insights, analytics, and software products used across the rail network. The Role As a Data Engineer, you'll be part of a collaborative technical team, working across the data lifecycle: from designing ETL pipelines and integrating real-time data streams, to developing APIs and backend systems that deliver rail data securely and reliably. You'll work closely with engineers, consultants, and project managers to translate real-world rail problems into scalable technical solutions. This role sits at the intersection of software engineering, data architecture, and delivery. Key Responsibilities Data Engineering & Infrastructure • Design and implement robust data pipelines (batch and real-time) for ingesting, transforming, and serving rail-related datasets. • Develop and maintain data APIs and services to support analytics, software features, and reporting tools. • Build data models and storage solutions that balance performance, cost, and scalability. • Contribute to codebases using modern data stack technologies and cloud platforms (e.g., Azure, AWS). Collaborative Delivery • Work with domain consultants and delivery leads to understand client needs and define data solutions. • Participate in agile delivery practices, including sprint planning, reviews, and retrospectives. • Help shape end-to-end solutions — from ingestion and transformation to client-facing features and reporting. Best Practices & Growth • Write clean, well-documented, and tested code following engineering standards. • Participate in design reviews, code reviews, and collaborative development sessions. • Stay up-to-date with new tools and trends in the data engineering space. • Contribute to internal learning sessions, tech talks, and shared documentation. The Candidate You might be a good fit if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks. • Working with structured and unstructured data at scale. • Backend development in Python (or similar), and familiarity with data APIs. • Cloud data platforms (e.g., AWS Redshift, Azure Synapse). • SQL and database design for analytics, reporting, and product use. • Agile collaboration with cross-functional teams. You don’t need experience in rail — just curiosity and a willingness to learn the domain

Your new company Working for a globally renowned financial organisation Your new role We are seeking 2x Senior Software Engineer / Data Platform Engineer's to support the ongoing evolution of a large‑scale financial data platform. Our environment combines long‑established enterprise systems and legacy components with modern cloud‑based services running on AWS. The platform processes high‑volume structured data and underpins both internal systems and customer‑facing products. A substantial portion of the platform is built on large SQL Server data estates, so strong SQL Server expertise is essential. The successful candidate will play a key role in modernising core systems, improving performance and reliability, and delivering scalable services for the next generation of the platform. This role is ideal for engineers who can work confidently across both legacy and modern architectures, and who have deep experience designing and building robust APIs and data services. What you'll need to succeed Deep SQL Server development/ optimisation experience. Strong AWS knowledge (Lambda, Amazon S3, API Gateway). Experience working in environments with legacy estates/ servers. Experienced with programming languages such as Python or C#. Background in financial services or data‑heavy platforms with experience with legacy/ modern platforms. Solid mathematical or quantitative background would be beneficial for analytics‑focused work. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

I am recruiting for a Senior Infrastructure Engineer to work on a hybrid basis - 3 days in either London, Manchester, Bristol, Newcastle, York, Glasgow or Norwich, 2 days remote. The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. You MUST have worked within central government recently. Working with the End User Compute Team you'll be instrumental in shaping the infrastructure, network and cloud capabilities that support vital services for the client. As the Senior Infrastructure Engineer (Mobile Device Management), you won't just be maintaining systems, you'll be a key architect of our future infrastructure landscape. Working alongside Technical Architects and Principal Engineers, you'll design, maintain and upgrade our infrastructure, tackling challenges head on and ensuring seamless service delivery. You must have several years of experience managing an MDM / EMM solution and SaaS based platforms. A strong understanding of security and device hardening, especially with mobile devices such as phones and tablets. You will also have strong experience managing and administering of Android and iOS devices with Workspace ONE. You must have an understanding of Windows 11 and macOS device management and experience of supporting infrastructure services for 10000+ users. Experience in IaaS/PaaS Compute such as AWS, GCP or Azure is essential. Please apply ASAP

AI GTM Solution Engineer (GenAI / LLM / Pre-Sales) We’re hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales / solution engineering role where you’ll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams. Key Responsibilities * Design and deliver AI / GenAI solutions aligned to customer use cases * Build and showcase POCs, demos and technical presentations * Work with LLMs, LangChain, OpenAI APIs and AI agents * Support solution architecture, APIs, integrations and cloud deployments * Collaborate across GTM, sales and engineering to refine offerings Requirements * Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting * Strong knowledge of LLMs, Generative AI, Machine Learning * Hands-on with LangChain, OpenAI, GPT or similar tools * Programming experience in Python * Experience with APIs, integrations and REST services * Cloud exposure: AWS, Azure or GCP * Proven experience delivering POCs, demos or customer-facing solutions Desirable * Experience building AI-powered enterprise solutions * Background in startups or high-growth environments * Exposure to AI agents or agentic workflows This is a high-impact opportunity to work at the forefront of AI innovation, influencing GTM strategy and delivering real-world AI solutions

Senior DevOps Engineer - Azure Cloud Hybrid (Derby) - £75,000pa to £85,000pa + Highly Competitive Package We're supporting a national healthcare technology organisation looking for a hands-on Senior DevOps Engineer to join a growing Cloud & Platform Engineering function. This is a delivery-focused role where you'll work directly on pipelines, automation, containerisation and secure cloud deployments, with real ownership across day-to-day engineering tasks. This isn't an architectural or purely governance-led position - it's ideal for someone who enjoys building, improving and running modern DevSecOps tooling in an evolving Azure environment. What you'll be doing: Build, improve and support CI/CD pipelines across Azure DevOps Implement IaC using Terraform/Bicep and contribute to module standardisation Work with Azure container services (Container Apps, ACI, AKS where relevant) Configure and maintain scanning, secrets management, policy enforcement and pipeline controls Build secure network patterns including private endpoints, VNets and hybrid connectivity Contribute to platform hardening, patching, and DevSecOps practices Troubleshoot across identity, networking, containers, and pipeline execution Collaborate closely with cloud engineers and the wider delivery teams What we're looking for: Strong recent hands-on DevOps engineering experience Solid Azure background (AWS awareness useful but not essential) Practical containerisation experience (Docker, AKS/ACA/ACI) Proven Terraform experience (authoring modules, reusable patterns, IaC pipelines) Confident with CI/CD delivery and pipeline optimisation Understanding of private endpoints, networking fundamentals and cloud-native patterns Someone hungry to grow, learn and evolve into broader responsibilities over time Why this role: A modernising environment with room to influence engineering standards Azure-first direction (with some AWS expected to retire within 12-18 months) Opportunity to help shape DevSecOps maturity Work closely with a high-calibre contractor team while building permanent capability Owned, impactful work in a national healthcare organisation If you're a strong, hands-on Azure DevOps Engineer looking for a role with impact, ownership and modern engineering challenges, we'd love to talk. Call John McManus at Experis IT on 0121 712 8715 for more information TPBN1_UKTJ

Infrastructure Data Engineer • Kafka Focus Fully Remote | Outside IR35 Working pattern: Sunday to Thursday Supporting a team based in Israel Exalto Consulting is supporting a client looking to appoint an experienced Infrastructure Data Engineer with strong Apache Kafka expertise. This is a fully remote contract role for someone who has hands-on experience running and improving Kafka in live production environments. The focus is not on initial setup alone. It is on keeping a high-volume streaming platform reliable, scalable, and well tuned over time. You would be joining a team responsible for maintaining and developing core data infrastructure that supports a range of business-critical use cases. The work includes improving platform performance, strengthening reliability, and helping internal teams make effective use of streaming capabilities. What the role involves You will take ownership of the day-to-day operation and improvement of Kafka infrastructure in production. That includes identifying performance issues, tuning configurations, resolving incidents, and building out the surrounding platform components needed to support a dependable streaming environment. The role also involves close collaboration with engineering, data, and analytics teams, so it is important that you are comfortable working across functions and helping others use the platform effectively. Key responsibilities Operate, maintain, and optimise Kafka clusters in production environments Design and improve Kafka infrastructure to support a range of streaming use cases. Tune Kafka settings including partitions, replication, retention, and throughput Monitor platform performance and address bottlenecks, instability, and capacity issues. Build and support related components including Kafka Connect, Schema Registry, and ELK. Develop internal tooling and microservices to support self-service platform use Improve monitoring, alerting, and observability using Prometheus and Grafana. Investigate production incidents, carry out root cause analysis, and make preventative improvements. Work with engineering, data, and analytics teams to ensure reliable data delivery. What we are looking for Proven experience running Kafka in live production environments. Strong understanding of Kafka internals and the trade-offs involved in scaling and performance tuning. Experience with Kafka Connect and Schema Registry. Good scripting and automation skills, ideally using Python. Experience with Elasticsearch and Kibana. Strong knowledge of Linux environments, shell scripting, and system performance tuning. Experience with Docker and Kubernetes, or similar container and orchestration tooling. Experience with CI/CD, Git, and infrastructure as code tools such as Terraform or Ansible. A solid understanding of distributed systems and streaming architectures. Experience supporting platforms where availability, resilience, and scale are important. Desirable experience Exposure to stream processing tools such as Apache Flink. Experience with cloud platforms including AWS, Azure, or GCP. Knowledge of hybrid environments. Experience with RBAC, multi-tenant systems, or usage metering. Experience with MSSQL or other relational databases. Working arrangement This role is fully remote and sits outside IR35. The team is based in Israel, so the working pattern is Sunday to Thursday. There is a two-hour time difference from the UK, and candidates should be comfortable working in line with that team structure. Important note This role requires genuine hands-on experience operating and optimising Kafka in production. Candidates whose experience is mainly limited to implementation, provisioning, or setup without ongoing production ownership are unlikely to be the right fit. To find out more, please get in touch with Exalto Consulting with a copy of your latest CV. TPBN1_UKTJ

You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/ Fargate, and RDS. Provide support for cloud-hosted production and staging envir

AWS Cloud Infrastructure EngineerHybrid - 1 day per week in the Portsmouth OfficeMy client is seeking a skilled Cloud Infrastructure Engineer to enhance and maintain the hybrid infrastructure that underpins both our internal operations and customer-facing services. This is a hands-on technical role

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 aut

A leading financial technology start-up in Greater London is seeking a motivated backend engineer to help define and build cloud-native services. Candidates should have expertise in Python and experience with AWS, Docker, and Infrastructure as Code using Terraform.