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

Senior AI Engineer Sheffield - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform. The Company They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth. The Role In this AI Platform Engineer role, you will: • Design, build and operate AI‑first products that deliver measurable value., • Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs., • Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards., • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations., • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP., • Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs, API development, authentication and testing., • Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design., • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK., • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery., • Solid DevOps practices including CI/CD, Docker, observability and automated testing., • A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics. What They Offer • Opportunities to shape AI products from the ground up., • A collaborative environment that encourages innovation and career progression. How to Apply If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

Role: GCP Cloud Engineer Location: Sheffield UK 6 Months contract + extendable 2-3 week Onsite JD: Please share the CV with below required skills: Delivery Technical solutions delivery experience Enterprise Solution Delivery experience Saas Products experience Solution architect experience End to End Architect experience Cloud, Devops, CI/CD Real estate experience Preferred please look for GCP Engineer/ Lead 10+ years exp

Principal AI Platform Engineer Sheffield This is a standout opportunity to join a digital‑first insurer that is scaling an entirely new AI function. You will be the first permanent hire into a growing division, giving you direct ownership of production AI systems, end‑to‑end agentic automation, and the technical direction of a brand‑new platform. The Company They are a tech‑led insurer transforming how complex home insurance is delivered. Their vision is to become the UK’s first fully AI‑driven insurer, supported by modern cloud infrastructure and a collaborative product‑focused culture. The Role You will play a lead role in shaping, building, and scaling their AI platform, working closely with an AI Product Manager and senior leadership. Your work will focus on making AI production‑ready, highly scalable, and reliable across the business. Key responsibilities include: • Designing and delivering an AI platform that supports large‑scale agentic automation and end‑to‑end claims journeys, • Building robust RAG pipelines, LLM‑based systems, and deployment frameworks, • Developing AI agents for claims handling, internal tooling, and customer‑facing chat solutions, • Evolving an internal AI assistant and expanding its capabilities across teams, • Working hands‑on across cloud infrastructure, observability, evaluation, and optimisation, • Collaborating with engineering, product, and operations teams to take roadmap concepts into production Your Skills and Experience • Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems, • Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling, • Hands‑on cloud engineering experience, ideally in GCP and its AI ecosystem, • Strong Python engineering ability and experience building production‑grade services, • Experience working with vector search, data ingestion, observability, and experimentation frameworks, • A STEM background or equivalent technical capability What They Offer • Salary up to 90,000 plus benefits, • Hybrid working with 1–2 days per week in their Sheffield office, • The chance to join as the first hire in a scaling AI division with a 10‑role roadmap, • Significant autonomy, influence, and end‑to‑end ownership of AI platform design, • The opportunity to build cutting‑edge agentic systems and production AI from the ground up How to Apply If you are excited by the opportunity, please apply with your CV.

About Valcon At Valcon, we are a European powerhouse in data and AI-driven business transformation. We combine deep expertise in data and AI with our heritage in operational excellence, failsafe delivery, and organisational change. Trusted by Europe’s leading organisations, we don’t just advise – we implement, deliver, and scale real transformation. Backed by private equity, Valcon has brought together leading firms to form one of Europe’s fastest-growing consultancies. In the UK, we’re scaling দ্রুত, while maintaining a collaborative, hands-on, and down-to-earth culture. 💥 Your Impact • As a Technology Delivery Lead / Technical Programme Manager, you’ll play a critical role in delivering complex, data and AI-driven transformation programmes for our clients., • You’ll lead programmes that connect data, technology, and business change, helping organisations unlock value through modern data platforms, AI solutions, and digital capabilities., • Working closely with senior stakeholders, architects, and engineering teams, you’ll ensure that strategy translates into execution — delivering measurable outcomes across areas such as operational efficiency, customer experience, and regulatory compliance., • You’ll also contribute to the growth of our UK practice, supporting client development, proposition building, and delivery excellence. 🧩 The Role • We’re hiring a Technology Delivery Lead / Technical Programme Manager (Data & AI) to lead the delivery of large-scale, enterprise transformation programmes., • You’ll take ownership of end-to-end delivery, from shaping solutions and defining roadmaps through to execution, governance, and successful implementation., • You’ll work across a range of industries (including Financial Services, Public Sector, and Pharma), delivering programmes that span:, • Data platform transformation (data lakes, warehouses, pipelines), • AI/ML use cases and intelligent automation, • SaaS implementations and system integrations, • Cloud-native architectures (Azure, AWS, GCP), • This is a hands-on leadership role, ideal for someone who thrives in complex environments and can confidently operate at the intersection of technology, data, and business. 🎯 What You’ll Do • Lead end-to-end delivery of data and AI transformation programmes, • Manage cross-functional teams (engineering, data, product, and business), • Translate business challenges into structured delivery plans and technical solutions, • Drive Agile delivery practices across multiple workstreams, • Own programme governance, risk, and stakeholder reporting at senior level, • Collaborate with architects and engineers to unblock delivery and guide technical decisions, • Ensure data governance, privacy, and regulatory compliance (e.g. GDPR), • Support proposal development, scoping, and client engagement, • Contribute to capability building and best practice development within the UK team 🧠 What We’re Looking For • Proven experience delivering complex technology programmes (8–12+ years), • Strong exposure to data platforms and/or AI-driven initiatives, • Experience working in consulting or client-facing environments, • Deep understanding of software delivery, data architecture, and cloud ecosystems, • Strong stakeholder management skills (up to C-level), • Track record of delivering in regulated or complex environments, • Ability to operate autonomously while leading teams and driving outcomes 🌟 Why Valcon • Work on high-impact data & AI transformation programmes, • Be part of a fast-growing consultancy with strong European backing, • Combine strategy and hands-on delivery — no ivory tower consulting, • Clear pathway to Programme Director / Delivery Leadership roles, • Collaborative culture with real ownership and autonomy

DevSecOps Consultant * Sheffield (3 days per week onsite) * Inside IR35 We're partnering with a leading financial services client to appoint a DevSecOps Consultant to drive secure engineering practices across large-scale, cloud-based platforms. This role is ideal for someone who has come from a hands-on DevSecOps Engineering background and has since transitioned into architecture/design and advisory, while still retaining strong technical depth. Key Responsibilities: * Define and implement secure architecture patterns across engineering platforms (CI/CD, build systems, runtime environments) * Conduct security assessments, threat modelling, and gap analysis across platforms and pipelines * Develop and embed DevSecOps best practices, including secure pipeline design and automated controls * Establish and enforce security baselines using policy-as-code * Build and deliver security roadmaps, prioritising risk and regulatory requirements * Partner with engineering and platform teams to remediate vulnerabilities and improve security posture * Act as a trusted advisor to senior stakeholders, translating technical risks into business impact Key Requirements: * Proven background in hands-on DevSecOps Engineering, now operating in a design/architecture-focused role * Strong experience across both AWS and GCP (essential) * Deep understanding of CI/CD pipelines, build tools, artifact repositories, and developer platfo...

The Role’s Purpose and Value: The Vice President / Senior Vice President of Software Engineering is responsible for defining, leading, and owning the engineering organisation that delivers Talogy’s product portfolio. This strategic role requires a leader who can build strong relationships across the organisation, collaborate effectively with senior stakeholders, and translate business priorities into a clear, scalable engineering strategy. The VP/SVP will shape Talogy’s engineering direction, partnering closely with the CTPO and business unit leads to identify, assess, and prioritise product initiatives. They will support sales and account management teams in client acquisition, retention, and growth by ensuring our technology capabilities meet evolving market needs. A key part of the role is leading and empowering the engineering organisation—ensuring teams are equipped, aligned, and enabled to deliver against the product roadmap. This role also plays a critical part in advancing Talogy’s use of AI, both in enhancing engineering productivity and in exploring how AI-driven capabilities can be responsibly incorporated into our products. This is a full-time, permanent position based in the UK or US, with flexible hours around core weekday availability. The role reports to Talogy’s Chief Technology & Product Officer (CTPO) and can be performed remotely, with occasional international travel for meetings, events, and workshops. Core Skills and Responsibilities: Technical Authority & Architecture Ownership: • Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated., • Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified., • Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture., • Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks., • Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment., • Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments. AI Strategy & Enablement: • Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments., • Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works., • Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance., • Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence. Team Leadership & Talent Development: • Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture., • Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers., • Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement., • Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning., • Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership. Cross-Functional Collaboration: • Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition., • Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business., • Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments., • Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs. Execution & Delivery Excellence: • Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management., • Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business., • Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products., • Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations., • Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery. Strategic Planning & Governance: • Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership., • Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition., • Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives., • Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation. Technical Expertise — Non-Negotiable: • 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company., • Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk., • Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk., • Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management., • Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates., • Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy’s multi-platform, acquisition-heavy environment., • Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001). Leadership & Organisational Experience: • Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment., • Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners., • Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling., • Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: • Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines., • Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications., • Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions. Operational Excellence & Strategic Execution: • Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes., • Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence., • Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements., • Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator.

Full-Stack Engineer (TypeScript/Node/React) Location: Remote Company: High-Growth HealthTech Startup The Opportunity After hitting some recent significant product milestones, my client are looking to expand their engineering team to match their business trajectory. You will be joining at a pivotal moment, working directly with the CTO and small team to bridge the gap between ambitious product roadmaps and high-quality technical execution. The Tech Stack • Frontend: React.js, Tailwind CSS, • Backend: Node.js, • Language: TypeScript, • Build & Scale: Develop new features from discovery to deployment, ensuring our platform can handle rapid user acquisition., • Strategic Collaboration: Work closely with the team to translate business goals into scalable technical solutions., • Code Excellence: Maintain high standards through code reviews, automated testing, and mentoring as the team grows., • Product Ownership: Take a seat at the table during product discussions, be a valued engineer who thinks about the "why," not just the "how." If you are interested in this opportunity please apply for a confidential chat!

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 10) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Discover International are supporting a client with an urgent requirement for an Interim Quality Manager / Director on a freelance basis. Travel within Europe will be required. Broad GxP expertise desirable, in particular strong expertise in the Clinical Quality (GCP) space required. This role will support several long term key projects. Please submit your CV should you be interested in discussing in full detail.

Robert Half is recruiting for a Mid level Data Engineer for a 12 Month FTC. ROLE: Mid level Data Engineer LENGTH: 12 Months FTC LOCATION: UK-based (with occasional London office presence) PAY: depending on experience I’m currently working on an exciting opportunity for a Mid level Data Engineer to join a growing Product Innovation team. This role is ideal for someone who enjoys building scalable data solutions and working with modern cloud technologies. The Role • Designing and building robust data pipelines and architectures, • Working with Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse), • Developing and optimising ETL processes, • Ensuring data quality, reliability, and performance, • Supporting data science and AI initiatives, • Collaborating with cross-functional teams to deliver data solutions Essential skills • Strong experience in data engineering (SQL, Python, or Scala), • Hands-on experience with Microsoft Fabric or similar cloud platforms (Azure, AWS, GCP), • Solid understanding of data modelling and pipeline design, • Experience with data visualisation tools (e.g. Power BI or Tableau), • Ability to troubleshoot and optimise data systems If you’re interested please apply or send CV to

Software Engineer Salary: circa £50k Location: Remote (UK-based with occasional team meetings) The Opportunity: Engineering for National Security Our client’s mission is to build and deliver secure, scalable collaboration solutions for the most security-conscious organisations in the UK. This is an environment where you can transform your individual talents into strengths within a creative, innovation-driven culture. Why This Role is Different This is not a place for rigid process followers. Our client actively embraces AI-augmented development, leveraging groundbreaking tools like Claude Code, GitHub Copilot, and Cursor to amplify engineering capabilities. You will be encouraged to use these tools effectively while maintaining strong engineering fundamentals and critical thinking. What You Will Be Doing • Design and Develop: Architect reliable and secure software systems using modern technologies like TypeScript, React, Next.js, Python, or Java., • Innovate with AI: Experiment with and evaluate new AI-powered development tools and practices, sharing those learnings with the wider team., • Collaborate Remotely: Engage with a distributed team through video, chat, and asynchronous documentation, valuing clarity and honesty in communication., • End-to-End Ownership: Take responsibility for software systems from initial conception and MVP through to live operation and decommissioning. What We Are Looking For • Technical Breadth: Experience with cloud platforms (AWS or GCP preferred) and containerisation tools such as Docker or Kubernetes., • Security Mindset: A security-conscious approach with an understanding of secure coding practices and how decisions impact security posture., • Professional Standards: A well-formatted CV that demonstrates your attention to detail and a career history focused on the IT sector., • Clearance Requirements: You must hold a British passport. While previous SC or DV clearance is a significant advantage, we simply need you to be clearable. Benefits and Culture • Flexible Working: A remote-first culture that has been distributed from the start, supporting different communication and collaboration preferences., • Continuous Learning: Dedicated time for experimentation, structured learning, and mentorship to help you master new approaches and technologies., • Inclusive Environment: A commitment to diverse thinking styles, offering reasonable accommodations throughout the application and employment process. If you’re a Software Engineer looking to do work with real impact, we’d love to tell you more. Click apply or reach out to for more information.

Lead Solutions Architect Bristol / Edinburgh / Leeds (Hybrid – 2 days per week in the office) A leading financial services organisation is seeking a Lead Solutions Architect to play a critical role in shaping the architecture behind large-scale digital transformation initiatives. This position sits at the heart of a major platform responsible for delivering colleague and customer services across insurance, pensions, and investment products. This is not a maintenance-focused architecture role. It is an opportunity to define architectural direction, modernise legacy capability, and help build scalable, intelligent platforms that support the organisation’s long-term digital strategy. You will work closely with Product Owners, Engineering teams, and Enterprise Architecture to design and deliver complex, high-impact solutions across a distributed engineering landscape spanning the UK and international teams. Key Responsibilities • Define and lead target solution architectures across APIs, microservices, colleague platforms, CCaaS telephony, robotics, and AI-enabled automation, • Drive the modernisation and simplification of service-driven architectures, enabling scalable and resilient digital platforms, • Shape the data strategy to support actionable intelligence and improved decision-making at scale, • Guide engineering teams in implementing secure, reliable, and scalable architectures, • Work across multiple feature teams to balance delivery speed with long-term architectural strategy, • Support the transformation of back-office operations and customer service capabilities through modern technology and automation, • Collaborate with architecture and engineering leadership to establish standards, patterns, and best practices Key Experience Required • Proven experience leading architecture across complex, multi-system transformation programmes, • Deep knowledge of API-led architectures and microservices, including event-driven and publish/subscribe patterns, • Strong understanding of web architecture, security, and scalable distributed systems, • Experience designing systems with authentication, single sign-on (OAuth), and encryption (in transit and at rest), • Demonstrated ability to define architectural standards, frameworks, and patterns, • Strong stakeholder engagement skills with the ability to influence engineering and product teams Desirable Experience • Cloud platform experience (GCP preferred, though Azure or AWS is also valuable), • Experience with contact centre / CCaaS platforms such as Genesys Cloud, NICE, or AWS, • Leadership or mentoring of other architects, • Experience experimenting or prototyping new approaches across different technology stacks, • Familiarity with content management frameworks and digital experience tooling Working Environment • Hybrid working model with two days per week in the office, • Locations available in Bristol, Edinburgh, or Leeds, • Agile and flexible working options, including hybrid arrangements and job share opportunities Benefits • Generous pension contribution of up to 15%, • Annual performance bonus, • Share schemes including free shares, • 30 days holiday plus bank holidays, • Flexible lifestyle benefits and wellbeing initiatives, • Strong parental leave policies and family support programmes This role offers the opportunity to work on high-impact digital transformation programmes, influence architectural strategy across large platforms, and help shape the future technology landscape of a major financial services organisation. If you would like to learn more, please apply or reach out for a confidential discussion.

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

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

Position Summary Be part of the mission to keep the UK safe. We work with Defence & Security clients on some of the most ambitious technology programmes in the country. Our teams are growing across Technology and Transformation — and if you hold UK DV-level Security Clearance, we’d love to hear from you. The Opportunity We’re looking for an experienced Senior Technology Consultant to help digitise defence — combining modern innovation with traditional military functions. You’ll work with clients to solve complex technology challenges, shape cloud strategies, and deliver scalable, secure environments for mission-critical system Key Requirements All applicants must hold active UK DV (Developed Vetting) Security Clearance. Core consulting capabilities: • Strong ability to provide pragmatic, clearly articulated solutions to complex business challenges, • Proven experience managing workloads, meeting deadlines, and delivering tangible results, • Confident communication skills with both technical and non-technical audiences, • Experience leading teams and managing deliverables, • Ability to assess and select vendors/products, • Strong understanding of cloud migration and architecture We’re looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering • Cloud platforms: AWS, Azure, Google Cloud Platform, or OCI, • Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm), • Infrastructure as Code (Terraform, CloudFormation, ARM, GCP CDM), • CI/CD and cloud automation tooling, • DevOps philosophies and toolchains, • Linux and Windows automation frameworks (Ansible, Puppet, PowerShell, etc.), • Version control and deployment tools (Jenkins, SVN, GitHub), • Awareness of cloud security, performance, and non-functional requirements Cloud Consulting • Defining and delivering Cloud Strategy and Operating Models, • Developing business cases for cloud investment, • Product and service selection for cloud solutions, • Leading agile ceremonies and stand-ups, • Architecting and delivering cloud platforms, • Understanding and advising on emerging cloud technologies and challenges, • Maintaining strong relationships with cloud vendors (AWS, Azure, GCP) Technical Authoring • Translating architectural information into clear, technical documentation for engineering and development teams, • Publishing and maintaining network documentation using tools like Git or markup-based repositories, • Managing technical decision processes and facilitating backlog discussions About the Business – Technology and Transformation Distinctive thinking, deep expertise, and a collaborative mindset — that’s what defines us. Our Defence and Security teams support clients to make the UK a safer place. From organisational change and programme management to advanced technology integration, we help clients deliver their mission through innovation and precision. Location and Working Model You’ll be based in Bristol, London, or Manchester, with hybrid working. We understand the importance of balance - so you’ll have the flexibility to work in the office, remotely, or on client sites as needed. Collaboration and connection remain key, but we support adaptable work styles that help you perform at your best.

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

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

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

Platform/DevOps Engineer Role - GCP.. We’re looking for a hands-on Platform / DevOps Engineer with deep experience running production workloads on Google Kubernetes Engine (GKE). This role is for someone who enjoys building, automating, and operating cloud-native platforms - not just designing them. You’ll own Kubernetes infrastructure end to end: provisioning, CI/CD, deployments, service mesh, and day-to-day operations in a modern GCP environment. Responsibilities: Design, build, and operate GKE clusters in production environments Automate cloud infrastructure on GCP using Terraform Build and maintain CI/CD pipelines for Kubernetes-based deployments Implement and manage Istio service mesh for traffic management, security, and observability Support containerized microservices at scale Required Skills & Experience (Must-Have) • Strong hands-on experience with GKE in production, • Solid Kubernetes fundamentals (networking, RBAC, scaling, troubleshooting), • Experience working in Google Cloud Platform (GCP), • Infrastructure as Code using Terraform, • CI/CD experience with Harness, • Strong GitHub workflow experience (PRs, branching, automation), • Experience with Istio Service Mesh (traffic routing, mTLS, canary/blue-green deployments), • Deep understanding of containers and cloud-native architectures £500 per day - 6 Month Contract Office Locations: Bristol, Leeds, Halifax, Manchester, Edinburgh

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

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

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated Senior DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you! What You'll Be Doing: • Automating Machine Learning workflows (training → deployment) with AWS & GitOps, • Deploying LLMs using Kubernetes & Docker, • Building infrastructure with Terraform & Helm, • Monitoring and maintaining ML models with performance alerts and dashboards, • Supporting CI/CD for ML pipelines, • Developing production-grade APIs (REST/gRPC) to serve models, • Collaborating with engineers, data scientists & DevOps teams Your Experience: • Industry experience in DevOps or MLOps roles (ideally in AWS environments), • Hands-on with Docker, Kubernetes, and Terraform, • Strong scripting skills in Python or Bash, • Familiar with ML lifecycle tools, model monitoring, and versioning, • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: • Experience with observability frameworks like Prometheus or OpenTelemetry, • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace, • Exposure to Azure or GCP, • Passion for financial services Requirements: • Degree in Computer Science, Engineering, Data Science or similar What We Offer • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

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

AssureBio is supporting a globally established pharmaceutical organisation in the appointment of a GVP QA Manager to strengthen its R&D Quality Assurance function. This is a high-impact role focused on pharmacovigilance quality oversight, vendor governance and regulatory inspection readiness within a global environment. You will operate as a key Quality Subject Matter Expert, ensuring robust compliance, patient safety and proactive regulatory readiness across pharmacovigilance and wider GxP activities. The position offers strong cross-functional exposure, working closely with senior stakeholders, global partners and regulatory bodies. Key Responsibilities GVP & R&D Quality Oversight • Provide leadership across pharmacovigilance QA activities within R&D and Scientific functions, • Act as SME for GVP/GxP compliance and provide expert regulatory interpretation, • Maintain oversight of Pharmacovigilance System Master File (PSMF) integrity, • Support quality due diligence for new product opportunities Audit & Vendor Management • Develop and maintain the R&D audit schedule, • Lead internal, vendor and third-party audits (acting as Lead or Co-Auditor), • Oversee quality performance of PV vendors and service providers, • Ensure effective audit closure and CAPA tracking Inspection Readiness & Compliance • Support regulatory inspection preparation and hosting (MHRA, EMA, FDA and global authorities), • Lead CAPA management arising from inspections and audits, • Provide risk-based QA advice to cross-functional teams, • Review and approve deviations, change controls and quality events Quality Systems & Continuous Improvement • Generate and present R&D quality metrics to senior stakeholders, • Deliver GxP training and guidance across the organisation, • Maintain awareness of evolving regulatory expectations and ensure business readiness, • Support continuous improvement of quality systems and processes This role is central to ensuring high standards of pharmacovigilance compliance, vendor oversight and inspection readiness across a complex global environment. Experience & Qualifications Essential • Scientific degree (Pharmacy, Chemistry, Biology, Engineering or related) or equivalent experience, • Significant QA experience within pharmaceutical and/or medical device environments, • Strong expertise in Good Pharmacovigilance Practice (GVP), • Proven experience supporting regulatory inspections and PV teams, • Experience in auditing, CAPA management and quality systems oversight, • Ability to operate autonomously and make risk-based quality decisions Desirable • Certification in auditing or Quality Systems Management, • Working knowledge of Good Clinical Practice (GCP), • Experience managing PV vendors and service providers, • Strong stakeholder engagement and influencing skills Candidates must demonstrate the ability to operate independently, provide strategic quality input and maintain strong regulatory compliance across global PV operations.

Backup and Recovery Engineer Pay up to £52,442 plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. DWP. Digital with Purpose. We are looking for an outstanding Backup and Recovery Engineer to join our community of tech experts in DWP Digital, to assist in the design of Infrastructure services in collaboration with Architecture and Engineering principles. We're using fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? • Hands on experience in Implementation, Migration, Operations and Support of Backup applications., • Demonstrable use of Rubrik backup solutions across multi-cloud (AWS, Azure, OCI GCP) and on-premises infrastructure and experience of Integration of Rubrik with external platforms (e.g. ServiceNow, Splunk, vSphere, Azure AD) using REST APIs and automation tools (Ansible), • Proven ability of managing Cloud compute, storage, and configurations, ensuring solutions are repeatable, scalable, resilient, and highly available, • Experience and knowledge of service management frameworks (ITIL - Incident, Problem, Change and SLAs)., • Demonstrable experience of producing and rapidly delivering minimum viable solutions, results focused with ability to prioritize the most impactful work. A day as a Backup and Recovery Engineer is all about keeping the organisation's data safe and recoverable, whether it lives in the cloud or on-prem. You'll spend your time making sure backup systems are running smoothly, spotting issues before they become problems and jumping in to fix things fast when they do. You'll work closely with Architects, SREs, Delivery Managers and Product Managers, so there's plenty of collaboration as you help shape and run the backup services everyone relies on. Some days you'll be involved in designing or improving how we back things up across public cloud and traditional infrastructure. Other days are more hands on, checking alerts, dealing with backup failures, looking into suspicious activity or helping colleagues understand how the systems work. When major incidents happen, you take the lead in getting everything back to a healthy state, working with security teams if there's anything unusual going on, like potential ransomware or unauthorised access. You'll move between Linux and Windows environments depending on what needs doing. Overall, it's a mix of problem solving, teamwork, technical know-how and keeping the department's data safe and recoverable every single day. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Leeds, Manchester or Newcastle, whichever is more convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £52,442 Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth over £12,000 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexitime. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: We have a broad benefits package built around your work-life balance which includes: • Flexible working including flexible hours and flex-friendly policies, • Time off volunteering and charitable giving, • Bring your authentic self to work with 'I Can Be Me in DWP', • Discounts and savings on shopping, fun days out and more, • Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference, • DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards, • Diverse and Inclusive Leadership at Digital Leaders Awards 2024, • Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 We know your time is valuable, so our application and selection process are just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application. JBRP1_UKTJ

At Places for People, we hire People, not numbers! So, if you like the sound of one of our jobs, please apply - you could be just whowe'relooking for! Of course, experience andtrack recordare important, butwe'remore interested in hiring someone that embodies our People Promises.That'ssomeone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK's leading Social Enterprise, wedon'tdiscriminate based on any protected attribute. In fact,we'rededicated to creating inclusive and thriving Communities for both our Customers and Employees.? So, what are you waiting for? Join aCommunitythat cares about you! More about your role? We are looking to recruit a Senior Database Engineer on a permanent basis.Reporting to the Database Engineering Manager, this is a key role within the Cloud function. This is a highly technicalroleand you willberesponsible forthe operational excellence and delivery ofon-premiseand in cloud database services. You will play a key role in theend to enddelivery of complex database solutions. This role is based 2 days a week in Preston. For more information, please download our job profile available on our website. At Places for People, we prioritise our dedication to safer recruitment. Therefore, abasic DBScheck is mandatory for this position. More about you? The ideal candidate will have a proventrack recordas aSeniorDatabase Engineer.Knowledge of SQLServerorMySQLisdesiredalong with experience of workingon-premises andwith cloud platforms such as GCP, AWS or Azure. • Experience working as aSenior/ LeadDatabase Engineer., • A proven track record of working with SQLServerorMySQLand willingness to cross train to cover both., • Knowledge of workingwith Cloud Platforms such as GCP, AWS or Azure. We know thatthere'salways more we can do to make you smile,that'swhy we offer a comprehensive benefits package with each role, yours will include:? • Competitive salary, with a salary review yearly, • Pensionwith matched contributions up to 7%, • Excellent holiday package 35 days annual leavewith theoptionto buy or sell leave, • Cashback plan for healthcare costs up to £500 saving per year, • A bonus scheme for all colleagues at 2%, • Training anddevelopment If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us. As part of ourcommitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all. We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best. If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on . We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours. If you are a recruitment agency please note we operate a PSL and do not take cold calls Safeguarding At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities JBRP1_UKTJ

Key Responsibilities: * Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. * Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. * Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions. * Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment. * Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders. * Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery. * Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training. * Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment. * Manage and lead prototyping and research activity as required to realise the best solutions. * Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries. * Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks. * Author, review and contribute to technical documentation. * Produce High- and low-level design artifacts for data storage, processing, and retrieval systems. * Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies. * Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation. Who we are looking for: The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Essential Skills and Experience: * Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. * Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. * Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. * Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). * Experience with API management and gateway tools and services. * Experience of RESTful APIs for ingesting and exposing data. * Proven track record with data governance, quality, lineage, and security practices. * Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). * Experience in, or knowledge of, DevSecOps Tooling and Processes. * Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment. * Strong critical thinker with problem solving aptitude. * A working knowledge of MoD or Government IT Security environments and requirements at various classifications. Desirable Skills and Experience: * Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift). * Exposure to infrastructure-as-code tools (Terraform, CloudFormation). * Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). * Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. * Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP) JBRP1_UKTJ

About Go10 Go10 is a UK-based value-added distributor of consumer products. We represent 60+ brands across consumer electronics, audio, health, wellness, and lifestyle categories, selling through major national retailers including Argos, John Lewis, Currys, Very, and Costco, as well as online channels including Amazon and dropship fulfilment directly to customers. We act as the UK and Ireland route to market for both established global manufacturers and emerging brands, handling sales, channel management, marketing support, and operational fulfilment. Our technology platform is central to managing that complexity at scale across multiple channels and brand relationships. Role overview We are looking for a Platform Engineer with a strong systems mindset to help design, maintain, and support the technical foundations of our business platforms. This role focuses on infrastructure reliability, operational stability, and system continuity. You will work across backend services, databases, and integrations that connect our ERP systems with our cloud-based platforms, ensuring they are robust, well-understood, well-documented, and supportable over time. While integration and API work is an important part of the role, it sits within a broader responsibility that includes understanding how data flows through our systems, diagnosing and resolving issues across the stack, and contributing to ongoing improvements to backend infrastructure. You will work closely with the Head of Digital Platforms and have direct access to the systems and decisions that shape how the platform evolves. Key responsibilities • Infrastructure and Operational Ownership, • Develop, maintain, and support backend systems that underpin business-critical workflows, • Build a strong understanding of how data flows across ERP systems, APIs, databases, and downstream consumers, • Audit and document all live integrations, APIs, and infrastructure components, • Write runbooks for all critical systems, sufficient for relevant team members to operate them independently, • Diagnose and resolve backend issues including data inconsistencies, performance bottlenecks, and integration failures, • Support system continuity through careful change management, documentation, and monitoring, • Own infrastructure resilience including backup validation and recovery procedures, • Contribute to improving reliability, observability, and operational tooling Integration and Data Architecture • Review and document existing data integration layers and produce a clear options analysis where improvements are required, • Review ERP connections, data flows, and sync architecture and document them full, • Design, build, and maintain integrations between ERP systems and cloud services, • Ensure data integrity, consistency, and performance across systems, • Migrate credentials and access to a secure, centrally governed model Quality and Documentation • Produce clear technical documentation for integrations, infrastructure, and data flows, • Apply clean architecture principles and pragmatic engineering practices, • Follow consistent practices in version control, change management, and operational tooling, • Implement structured logging, monitoring, and error handling to support production operations Required skills and experience We are looking for a platform engineer with solid infrastructure and integration experience who takes a methodical approach to their work, communicates clearly, and is comfortable owning systems end to end. Core technical skills: • Experience managing infrastructure including Linux, cloud platforms (GCP, AWS, or Azure), and self-hosted environments OVH Cloud, • Strong SQL skills, with experience in PostgreSQL and ideally SQL Server, • Experience building and supporting backend systems in production, • API integration and orchestration including REST, webhooks, and ETL pipelines, • Database experience covering schema design, data migration, query optimisation, and data integrity, • Experience integrating enterprise systems, ideally ERP, • Proficiency with Git-based workflows Engineering practices: • Understanding of backend architecture and design patterns, • Experience with CI/CD pipelines and automated testing, • Comfort working in environments where documentation does not yet exist, • Strong attention to detail and a commitment to quality and maintainability Useful but not required: • ERP Brightpearl integration experience, • Xero accountancy software API, • Shopify Admin API and Amazon Marketplace API, • Familiarity with Java-based backend applications, • Containerisation and basic orchestration concepts, • Exposure to ETL/ELT pipelines or data warehousing concepts, • Prior involvement in platform transition programmes What we offer This is a fully remote role with the opportunity to own and shape core platform and integration infrastructure across a growing multi-brand distribution business. We operate in a collaborative, engineering-driven environment with a focus on practical outcomes, clear communication, and long-term system quality. Salary is £45,000 to £65,000 depending on experience. We welcome applications from UK / Europe

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

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

The ideal candidate will have a strong background in Kubernetes and Terraform, solid coding abilities in languages such as Python or Go, and consulting experience.

We are seeking two highly experienced and Senior Solution Architects with deep expertise in card processing platforms to drive architecture and design across a large-scale commercial cards ecosystem. Key Responsibilities Own and deliver end-to-end solution architecture for card-based systems, ensuring alignment with enterprise architecture principles and platform roadmaps Translate business requirements (BRDs) into solution designs , decomposing into MVPs, epics, and detailed technical stories Design and implement scalable, resilient, and secure architectures across distributed systems Define integration patterns (REST APIs, messaging, event-driven architecture) across internal platforms and external partners Provide hands-on architectural leadership to engineering teams, ensuring design consistency and adherence to standards Govern solutions through architecture review boards , ensuring compliance with security, data, and infrastructure standards Identify and mitigate technical risks , including performance, scalability, and security concerns Collaborate with vendors and third parties to define interoperability models and integration contracts Contribute to technology strategy , including cloud adoption, modernization, and legacy transformation initiatives Promote adoption of modern engineering practices including microservices, API-first design, and domain-driven design Required Experience 15+ years of experience in software engineering and solution architecture , with a strong focus on banking and payments systems Deep domain knowledge of card processing systems (e.g., authorization, clearing, settlement, dispute management) Proven experience designing high-throughput, low-latency transactional systems Experience operating within large-scale, matrixed enterprise environments Strong background in cloud-native architecture (AWS, Azure, or GCP), including relevant certifications Demonstrated ability to handle complex, ambiguous technical problems and translate them into structured solutions Strong stakeholder engagement across business, engineering, and infrastructure teams Technical Skills Architecture & Design: Microservices, event-driven architecture, domain-driven design (DDD), layered architecture Integration: RESTful APIs, OpenAPI specs, messaging systems (Kafka, MQ), asynchronous processing Cloud & Infrastructure: Cloud-native design, containerisation (Docker, Kubernetes), CI/CD pipelines Data: Distributed data systems, RDBMS/NoSQL, data modelling, data consistency patterns Security: Secure-by-design principles, IAM, encryption, threat modelling, regulatory compliance Resilience: High availability, fault tolerance, disaster recovery, observability (logging, monitoring, tracing) Channels: Experience designing across web, mobile, API gateways, and backend orchestration layers Legacy Integration: Exposure to mainframe systems (desirable but not essential) Additional Capabilities Strong focus on cybersecurity and secure architecture practices Experience designing mission-critical systems with strict uptime and performance SLAs Ability to mentor engineers and architects, driving technical best practices and governance Comfortable working across global teams with distributed stakeholders TPBN1_UKTJ

Job: Postgres Database Administrator (DBA) Location: Sheffield, UK (3 days weekly from office) We at Coforge are looking for Postgres Database Administrator (DBA) in Sheffield, UK. Job Summary: As a PostgreSQL Database Administrator (DBA), you will play a vital role in managing PostgreSQL databases to ensure their optimal performance and reliability. Expertise in PostgreSQL, particularly in GCP environments, will be considered a significant advantage. You will be responsible for managing database schemas, optimizing configurations, and troubleshooting production incidents. Your expertise in relational databases (PostgreSQL) will directly support business objectives and operational capabilities. Responsibilities: PostgreSQL Database Administration: • Collaborate with teams to integrate PostgreSQL databases into the infrastructure and ensure their optimal performance., • Perform PostgreSQL database backups, recovery, and restoration activities., • Optimize PostgreSQL configurations and query performance for transactional workloads., • Design and implement PostgreSQL data models and SQL scripts for transactional workloads., • Manage PostgreSQL databases in GCP environments (preferred)., • Diagnose and troubleshoot PostgreSQL production incidents and resolve performance bottlenecks. Requirements: PostgreSQL: • 5+ years of experience in PostgreSQL database administration., • Expertise in installing, configuring, and monitoring PostgreSQL databases., • Proficiency in PostgreSQL data modeling and SQL scripting., • Strong experience in performance tuning PostgreSQL databases to optimize writes and reads., • Hands-on experience with PostgreSQL in GCP environments (preferred)., • Proven ability to evaluate database performance, isolate bottlenecks, and implement optimizations in transactional settings. Preferred Skills: • Experience with Datastax Enterprise Service (DSE)., • Familiarity with cloud environments like GCP., • Strong troubleshooting and analytical skills

As our Platform Engineer, you will build and operate production-grade GCP infrastructure that enables fast and secure product delivery across all our global engineering and AI teams.

Job DetailsJob Title: GCP FinOps EngineerLocation- Newport, UKKey Responsibilities(Individual contributor role)Optimise large scale data analytics workloads through partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies.

Solutions Architect (Google Cloud) – Pre-Sales Focus.Remote (UK) – predominantly remote with occasional London / Manchester travel.Circa £100,000 + package / Commision.Work on the kind of problems most teams walk away from.We’re partnering with a high-performing, Google Cloud–focused techno

Software Architect Java - BackEnd, Back End Google Cloud (GCP)Contract: Until December 2026 - RenewableLocation: Essex Offices (located between Brentwood and Basildon) 4 days a weekRate: £600 per Day Inside IR35The finance and banking division of this engineering company and household name is se

Cloud Engineer (GCP)£Up to £72,000 GBPHybrid WORKINGLocation: London; Manchester; Leeds, Central London, Greater London - United Kingdom Type: PermanentCloud Engineer - National SecurityOur client is a leading digital intelligence and national security consultancy, recognised among Glassdoor's Bes

This role emphasizes the design and implementation of scalable, cloud-native applications on Google Cloud Platform (GCP) using Python.

As a Cloud Security Engineer at Starling, you’ll be building and supporting tooling and infrastructure that spans across AWS and GCP, supporting our internal operations and interfacing with other teams to deliver the services that support our business.

A leading bioanalytical services provider in York is seeking a Sample & Laboratory Support Technician.This role is crucial for ensuring the accurate handling of laboratory samples within a regulated environment.Responsibilities include processing and tracking samples, preparing laboratory reagents,

Strong, hands‑on experience with GCP (Google Cloud Platform).

Proven experience with GCP, either as a DevOps Engineer or SRE.

A technology-driven organization in insurance is seeking a Lead GCP Data Engineer to oversee a major cloud migration and shape engineering standards. The ideal candidate will have extensive experience with GCP and data pipelines, leading projects from ingestion to transformation.

Deep hands‑on experience with GCP security services and GCP security best practices. Stay up to date with new threats, especially in LLM, agentic AI, and GCP contexts. Cloud‑native architecture design (GCP‑focused).