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Purpose of the Role We are looking for a motivated Full-Stack Engineer to join our growing development team. You will help build and maintain high-quality web applications that power our SaaS platforms, including our B-Automotive package and AI experimental trial data systems. This role is perfect for someone with a strong foundation in modern web tech who wants hands-on experience with cloud architectures and AI integration in a fast-paced environment. What You’ll Be DoingFeature Development & API DesignYou will design, develop, and maintain scalable web applications for both frontend and backend. This includes building robust RESTful APIs (using JSON) for internal and external use, ensuring our SaaS platforms deliver a seamless experience for users. AI Data & Internal ToolingA key part of this role involves processing large amounts of AI training data. You’ll use your scripting skills to clean and group data for annotation, maintain our internal annotation tools, and build specific trial sites for teams across the company. Security & Quality AssuranceYou will write clean, efficient code and participate in GitHub code reviews to maintain high standards. Security is a priority; you’ll implement secure coding practices to ensure user data segmentation and anonymity, while staying updated on CVEs to patch and mitigate threats. A passion for documentation both in code commenting and writing in platforms like Confluence is essential. Experience with regulated environments is a bonus, particularly in the automotive or medical industries. Collaborative Agile DeliveryWorking within an Agile/Scrum framework, you’ll collaborate with product managers, designers, and other engineers to ship new features. You will also work closely with the QA team to troubleshoot, debug, and resolve issues within our existing systems. What You’ll Bring Skills & Strengths • Frontend & Languages: Strong proficiency in React and modern JavaScript/TypeScript., • Backend & APIs: Experience with modern backend languages (Go preferred) and designing RESTful APIs., • Scripting: Strong Shell or Python scripting skills for automation and data processing., • Problem Solving: A logical and methodical approach to complex technical challenges., • Version Control: Proficiency with Git and GitHub (branching, merging, and PRs)., • Documentation: Code commenting and design/architecture/maintenance documents. Knowledge & Experience • Professional Background: 0-3 years of professional experience in full-stack development (or equivalent academic experience)., • Security Mindset: Practical knowledge of web vulnerabilities, data privacy, and secure data segmentation., • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)., • Bonus Points: Experience with GCP/AWS, Docker, CI/CD (GitHub Actions), React Native, or integrating AI models with Python. Experience in regulated environments. What’s In It For You • Mentorship: Direct reporting line to our Lead Solutions Architect for guidance and professional growth., • Innovation: Work at the intersection of AI and SaaS in a dynamic tech environment., • Location: Based at the Innovation Park at the University of Nottingham., • Impact: Build tools that directly handle cutting-edge AI training data and automotive solutions.

Title: Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

Principal Data Engineer Location: Flexible UK Salary: £95,000 plus bonus of up to 17 per cent and a yearly equity gift worth 10 per cent of base I am working with a scaling technology organisation operating across multiple brands within the property and legal technology space. As the business continues to grow and mature its data capability, they are now looking to hire a Principal Data Engineer to define and lead the technical direction of their data platform. This is a senior, highly influential role sitting above multiple engineering teams. While there is a strong hands on element, this position is first and foremost about technical leadership, architecture, and setting standards. You will shape how data is ingested, governed, and trusted across the organisation, playing a central role in building a robust and scalable data warehouse and data platform as the business evolves. The environment spans Azure and AWS, with Databricks at the core of the data stack. You will work closely with senior engineering, product, and business stakeholders to design future proof data architectures that can scale with increasing data volumes and complexity. As the organisation grows, this role offers a genuine opportunity to architect a modern data warehouse and lake that underpins insight across the UK housing market. This role is ideal for a principal level engineer who enjoys operating at both strategic and execution levels. Someone comfortable defining architecture and governance with senior leaders, while also rolling up their sleeves to build and optimise complex data pipelines. What you will be doing • Defining and owning the technical strategy for the data platform across ingestion, processing, and analytics, • Designing scalable, secure, and high performance architectures using Databricks and distributed data systems, • Building and overseeing robust data ingestion pipelines using PySpark, with a strong focus on reliability and accuracy, • Ensuring end to end data quality from raw ingestion through to curated datasets used for reporting and analytics, • Establishing and enforcing best practices around data governance, lineage, metadata, and security, including Unity Catalogue, • Anticipating future scaling challenges and ensuring the platform is fit for long term growth, • Acting as a technical authority across data engineering teams, raising standards and guiding architectural decisions, • Partnering with product, engineering, and commercial leaders to prioritise high impact data initiatives, • Ensuring data platforms are compliant with GDPR and wider regulatory requirements, • Evaluating and introducing new technologies where they add clear value to the data ecosystem What you will bring • Deep expertise in PySpark and distributed data processing at scale, • Strong hands on experience designing, building, and optimising Databricks based platforms, • Advanced SQL skills including performance optimisation and schema design for analytical workloads, • Experience working across Azure based data warehouses, with some exposure to AWS, • Proven experience defining and leading complex data architectures rather than just implementing them, • Strong understanding of data governance, data quality frameworks, and security best practices, • A track record of influencing senior stakeholders and aligning data strategy with business objectives, • Experience mentoring senior engineers and setting technical standards without formal line management, • A strategic mindset with a clear focus on data reliability, scalability, and long term business value If you are a Principal Data Engineer looking for a role where you can genuinely shape a growing data platform and influence technical direction at scale, I would be happy to share further details in confidence.

Hello! As new exciting roles come through my desk, I'm keen to get in touch with you, learn about your experience and know what you look for in your next opportunity. If you are a... • Data Engineer, • Data Architect, • Data Modeller, • Software Engineer, • DevOps Engineer, • Cloud/Platform/Infrastructure Engineer, • Engineering Manager/Head of/VP/CTO ...upload your CV with contact information, and answer the questions on the next page so you don't miss out on opportunities! Best, Joana ✨ Building Data and Software Engineering teams in the UK | The Talent Driving the Data and AI Revolution Harnham - Data & AI Recruitment

Senior Data Platform Engineer (Azure | Terraform Expert) Location: Remote / London Office if preferred Type: Contract £750 a day (Inside IR35) - Initial 3 month About the Role We are seeking a Senior Data Platform Engineer with deep, hands-on Terraform expertise to design and build enterprise-grade Azure infrastructure using Infrastructure as Code as a core discipline. This role is not a generalist cloud engineering position — it requires someone who can lead Terraform design, create highly reusable modules, manage complex state and environments, and embed security, governance, and observability directly into code. You will be a key technical authority for Terraform across our Azure Data and AI platforms. What You’ll Be Doing In this role, you will: • Own and lead Terraform-based infrastructure design for Azure, ensuring scalability, security, and compliance by default., • Develop and maintain advanced Terraform modules, standards, and patterns used across multiple teams and environments., • Automate Azure platform deployments using Terraform, including:, • Azure Data Factory, • Synapse Analytics, • Data Lake & Storage, • Key Vault, • Azure networking and AI/ML services, • Implement and manage Terraform state, backends, workspaces, and strategies for drift detection and remediation., • Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions) with Terraform plan/apply workflows, approvals, and policy enforcement., • Embed observability (monitoring, logging, alerting) directly into infrastructure code., • Design and implement secure-by-design architectures, including:, • Private Endpoints and private networking, • Managed identities and Key Vault integration, • Application Gateways and network security controls, • Act as a Terraform subject-matter expert, supporting and mentoring engineers and influencing platform standards., • Work closely with data engineers, architects, and stakeholders to enable reliable Azure data and AI platforms. What We’re Looking For Essential Experience (Must-Have): • 5+ years in Platform or Cloud Engineering, with a strong focus on Azure., • Expert-level Terraform experience, including:, • Advanced HCL usage and module authoring, • Remote state management and backends, • Environment and workspace strategy, • Lifecycle management and dependency orchestration, • Handling large, multi-environment Terraform estates, • Proven experience deploying Azure Data Platform services using Terraform:, • Azure Data Factory, • Data Lake / Storage, • Synapse Analytics, • AI / ML services, • Strong experience building Terraform-driven CI/CD pipelines using Azure DevOps, GitHub Actions, or similar., • Proficiency in PowerShell, Bash, or Python for automation and tooling., • Deep understanding of Azure networking, IAM, and security, including private endpoints and app gateways., • Experience implementing governance, security controls, and observability through code., • HashiCorp Terraform Associate (004) or Terraform Professional, • AZ-400 (Azure DevOps Engineer), • Azure certifications such as:, • Azure Solutions Architect

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 3+ 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 (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, 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 (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, 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. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (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., • ISTQB AI Testing or equivalent certification. 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.

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

Cloud Security Engineer (AWS K8s EKS SaaS) Remote UK to £90k Are you a cloud security technologist looking for your next opportunity? You could be progressing your career in a Cloud Security Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks. As a Cloud Security Engineer you will design AWS cloud solutions, implement and manage security controls between AWS and Kubernetes EKS environments, conduct threat modelling, code review and penetration testing on the AWS infrastructure, configure and manage web application firewall rules and automate security checks and repetitive tasks to enforce protection at scale. You'll collaborate with the Platform and Infrastructure teams and participate in investigation and response to security alerts. Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can work from home anywhere in the UK; you can also work at times that suit you. About you: • You have experience with AWS secure design and implementation, • You have experience with Kubernetes / K8s and EKS, • You have experience with a Web Application Firewall e.g. Cloudflare, • You can script using Python (or similar) for automation, • You have a good understanding of CI/CD and Infrastructure as Code (IaC), • You have a good knowledge of Cloud Control Frameworks e.g. CIS, CSA, NIST, • You're collaborative and pragmatic with great communication skills, • Relevant certifications such as CKA, CKS, OSCP, paCSP, AWS Certified Security - Specialty, AWS Certified Solutions Architect - Associate/Professional, or similar are preferred What's in it for you: • Up to £90,000 salary, • Flexible / remote working including flexible working hours, • Ability to work 30 days from any EU country, • Diverse, inclusive team environment with a range of support networks (e.g. LGBTIQA+, Women's Networking group) Apply now to find out more about this Cloud Security Engineer (AWS K8s EKS SaaS) opportunity.

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

Title: Co-Founder / Fractional Chief Technology Officer Location: Remote (UK / EU only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system. Core Responsibilities • Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure, • Lead development of AI-driven scoring, ranking, and decision systems, • Design and evolve advanced search and retrieval systems beyond keyword matching, • Build and scale API-first, multi-tenant backend services, • Lead development of video, voice, and interview analysis tooling within the platform, • Drive the transition from third-party LLM usage toward custom and fine-tuned models, • Ensure platform security, data protection, and GDPR-aligned system design, • Establish engineering standards, CI/CD workflows, and operational best practices, • Act as technical counterpart to product, commercial, and investor conversations, • Manage technical / dev responsibility for any contractor arrangements in place. Technical Requirements Backend & APIs • Strong experience designing REST and/or GraphQL APIs for production SaaS platforms, • Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS), • Deep understanding of multi-tenant system design, permissions, and role-based workflows, • Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems • Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent), • Design and implementation of scoring, ranking, and weighted evaluation systems, • Experience with vector search, embeddings, and semantic retrieval, • Practical use of RAG architectures, prompt pipelines, and structured outputs, • Strong understanding of model evaluation, explainability, and output validation Model Development • Experience with fine-tuning or training models (open-source or proprietary), • Understanding of model lifecycle management, data pipelines, and inference optimisation, • Familiarity with moving from API-based LLMs to self-hosted or private models Video, Voice & Media Processing • Experience working with video, audio, or real-time communication systems, • Familiarity with speech-to-text, audio processing, or conversational AI pipelines, • Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure • Strong experience with AWS-based SaaS platforms, including:, • ECS Fargate, • Application Load Balancers, • IAM, KMS, Secrets Manager, • CloudWatch logging and alerting, • Infrastructure-as-Code using Terraform, • Secure, scalable deployment and environment management, • CI/CD pipelines, automated testing, and release workflows Experience & Profile • Senior-level engineer or technical founder with end-to-end ownership experience, • Proven track record building or scaling production SaaS platforms, • Comfortable operating across architecture, hands-on coding, and strategic decisions, • Strong product intuition with an ability to translate abstract requirements into systems, • Experience working in early-stage or high-ownership environments, • Clear communicator capable of partnering closely with a non-technical founder Nice to Have • Prior experience as a founder, early CTO, or lead architect, • Background in search, recommendation systems, or decision engines, • Experience with regulated or sensitive data environments, • Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms, • Experience building internal admin tools and operational dashboards There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below. We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.

TalentCo are delighted to be working with an AI startup looking to hire a high-calibre Lead AI Engineer into their growing engineering team in the UK, having recently closed a significant seed funding round. This is a senior individual contributor hire and can be based remote-first anywhere in the UK, for this London HQ'd startup. You will drive the technical evolution of the clients AI-first platform and serve as their resident AI expert. You will be a core software engineer architecting the complex systems that make AI useful in production, splitting your time between crafting complex AI processing architectures and hands-on data/backend engineering, with the rest spent doing whatever is needed to ship. As Lead AI Engineer you will: • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategically Advise: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimisation. We want to hear from you if you bring: • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What do they offer? • Base salary c£150k, • Remote-first with occasional trips to the London HQ to see the team, • Apple devices and the best AI tooling, • Meaningful early-stage share opportunities, • Career rocket fuel - real growth, real ownership, real impact

Join OCI’s Edge Security team as a Principal Engineer to architect and deliver cloud-scale DDoS protection. You’ll lead design for high-performance detection and mitigation systems, drive automation and operational excellence, and set the technical direction for customer-facing DDoS capabilities across OCI’s global edge. This role requires deep expertise in Linux networking data path and kernel-level networking (such as XDP, eBPF, DPDK, iptables, nftables), in addition to strong systems and DevOps engineering experience. Basic qualifications • 7–10 years building production backend systems, including 3–5 years in high-scale and/or low-latency environments., • Deep expertise in Linux networking data path and kernel-level networking (e.g., XDP, eBPF, dpdk, iptables, nftables) for traffic processing, filtering, and observability., • Proficiency in one or more: Java/Python/C++/Rust/Go (strong preference for Java for control-plane/services)., • Deep systems design expertise: concurrency, memory management, performance tuning, API design, consistency models, and distributed systems fundamentals., • Proven DevOps leadership at scale: CI/CD, automated testing, canarying, rollout/rollback, configuration management., • Strong IaC experience (e.g., Terraform) and solid cloud infrastructure fundamentals., • Domain experience in DDoS or network security services and common attack/defense patterns., • Advanced networking knowledge: TCP/IP, IPv4/IPv6, BGP, routing policy; DNS fundamentals., • Demonstrated operational excellence and observability practices (metrics, tracing, alerting). Preferred qualifications • Expertise with anycast routing, global traffic steering, and multi-region service readiness., • Experience with SDN, programmable data planes, or hardware mitigation platforms., • Building high-rate telemetry/streaming pipelines for near-real-time detection (packet/flow analytics)., • Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale., • Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement)., • Familiarity with zero trust, segmentation, and modern security architectures; exposure to compliance frameworks and audit preparation. How you’ll have impact • Deliver core DDoS detection/mitigation that protects OCI’s Tier 0 availability and customer trust., • Launch customer-facing DDoS offerings with self-service policy, visibility, and strong defaults., • Raise engineering quality, automation, and compliance maturity across the stack; mentor and grow the team’s technical bar. Ways of working • Security and privacy by design with auditable controls and policy adherence from day one., • Data-driven delivery with clear KPIs, SLOs, and stage gates from prototype to GA., • Collaborative, inclusive culture emphasizing design docs, code reviews, and knowledge sharing. What you’ll do • Lead architecture and delivery of low-latency backend services for DDoS detection, classification, and mitigation., • Define and evolve scalable data/control planes (policy, signaling, telemetry, orchestration) with strong fault isolation, resiliency, and compliance-by-design., • Own traffic engineering strategy (anycast, BGP policy, routing integration) and partner with networking, DNS, and edge platform teams., • Set operational standards: SLOs/SLAs, on-call health, incident response (including incident commander duties), runbooks, and post-incident learning., • Drive automation at scale: CI/CD strategy, test frameworks, progressive delivery (canary/blue-green), and infrastructure-as-code., • Establish robust observability (metrics, logs, traces) and capacity/scale models for high-throughput, highly available services., • Lead threat modeling, architecture reviews, and audit readiness for Tier 0 services; ensure security and privacy are embedded through the lifecycle., • Mentor engineers, influence cross-org roadmaps, and collaborate with Product, SRE, and Network Engineering from concept to GA.

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

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.

Senior Backend Engineer Work Location: UK (Remote) - You must be UK based with a full right to work Type: 6 to 12 months contract (with potential of converting to permanent) Reports to: CTO Experience Level: Senior / 5–10 years Salary: £75,000 to £80,000 (Flexible - Depending on experience) About Our Client Key requirements: Python, Fast APIs, AWS (Lambda), AI code generation tools: Cursor, Copilot or similar. Also experience working with AI/ML, and curiosity about AI is essential for this role. Our client is an early stage AI start-up in the education sector. They’re on a mission to redefine how students learn through intelligent tutoring and empower teachers with data-driven insights into learning progress using ML, GenAI, and modern data systems. Their cross-functional team of engineers and product leaders is building a platform that powers both mobile and web apps for users. They’re now on the lookout for a hands-on Senior Backend Engineer who can take ownership of backend architecture, scale system performance, and mature their DevOps and CI/CD practices. What You’ll Do • Design, build, and maintain scalable backend services and RESTful APIs using Python (FastAPI/Django/Flask) (Essential), • Architect and optimise AWS infrastructure (Lambda, ECS, EC2, RDS, S3, CloudFront, etc.) for reliability and cost efficiency, • Build and manage PostgreSQL databases hosted on Amazon RDS, including schema design, query optimisation, and backups, • Collaborate with frontend engineers (React/React Native/Swift) to integrate APIs with web and mobile apps, • Lead DevOps automation - CI/CD (GitHub Actions), infrastructure as code (Terraform/CDK), observability (CloudWatch, Grafana), • Work closely with AI engineers to integrate and deploy machine learning pipelines into production systems, • Implement security, monitoring, and data governance best practices, • Mentor team members, set coding standards, and contribute to architectural decisions with the CTO What You’ll Bring • 5+ years of experience in backend development (Python, Node.js, or Go), • Strong expertise in AWS (Lambda, ECS, EC2, RDS, S3) - highly desirable, and DevOps pipelines (advantage but not essential), • Exposure to integrating AI/ML services or APIs into production systems, • Experience working with AI code generation tools such as Cursor, Copilot, or a similar tool. This essential, as the team work these tools for speed and efficiency., • Deep understanding of PostgreSQL (schema design, optimisation, migrations) and RDS management, • Proven experience building RESTful APIs for high-performance web and mobile applications, • Familiarity with Swift or React Native API integration workflows, • Experience with containerisation (Docker, ECS/EKS/Kubernetes), • A passion for start-up environments — ownership, speed, and hands-on problem solving Why Join • Join an early-stage founding team shaping the platform and product direction from the ground up, • Work with cutting-edge AWS and AI technologies in a fast-paced, high-autonomy culture, • Collaborate closely with experienced product and AI leaders

About Us We are a fast-growing fintech company building modern, scalable platforms that power real-world financial products. Our engineering culture values clean architecture, strong ownership, and pragmatic innovation. We operate in a cloud-native, microservices environment and invest heavily in frontend quality, design systems, and developer experience. The Role As a Lead Fullstack Engineer, you will play a key technical leadership role across frontend and backend systems. You’ll help shape architecture decisions, lead by example in code, and work closely with product, design, and other engineers to deliver high-quality, scalable solutions. This role is hands-on and ideal for someone who enjoys building modern web applications while mentoring engineers and influencing technical direction. Responsibilities • Lead the design and development of fullstack solutions in a microservices architecture, • Drive frontend excellence, including component design, design systems, and web standards, • Architect, build, and maintain scalable backend services, • Collaborate with product managers and designers to translate requirements into technical solutions, • Guide best practices around code quality, testing, performance, and security, • Mentor and support engineers through code reviews, pairing, and technical guidance, • Contribute to cloud and platform decisions, including deployment and observability Tech Stack & Environment Frontend: • Svelte (primary), with openness to React or Angular experience, • Strong focus on web components and reusable design systems, • Node.js or Python (microservices-based), • API-driven architecture, • Infrastructure & Cloud:, • Kubernetes, • AWS, • Containerized, cloud-native deployments, • Data:, • SQL databases What We’re Looking For • Strong experience as a senior or lead fullstack engineer in modern web environments, • Deep knowledge of JavaScript and frontend architecture, • Experience with Svelte, React, or Angular (Svelte experience is a plus, not a requirement), • Backend experience with Node.js and/or Python, • Solid understanding of microservices architecture, • Hands-on experience with Kubernetes and AWS, • Strong SQL skills and experience designing data models, • Proven ability to lead technically and mentor other engineers, • Comfortable working in a fast-paced fintech or product-driven environment Nice to Have • Experience building or maintaining design systems, • Exposure to web components standards, • FinTech, payments, or regulated-industry experience, • CI/CD and DevOps best practices What We Offer • Opportunity to lead and shape core technical systems, • Modern tech stack with real architectural ownership, • Collaborative, product-focused engineering culture, • Competitive compensation and benefits, • Flexible working arrangements

Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript I am currently working with one of the fastest-scaling platforms in the creator economy which is a creator-first, AI-powered product that enables creators around the world to directly monetise their audiences. Every system you build will operate at serious global scale. 🎯 The Role As a Senior Software Engineer, this is a hands-on, high-impact role for an engineer who thrives on complexity, scale, and ownership. As the different platforms grow, this role offers a clear path to progress as a Principal IC or Engineering Leader, scaling both the systems and your own influence. What you will do... • Architect scalable systems, • Own features end to end, • Build critical tooling, • Scale third-party integrations, • Raise the bar for developer experience, • Continuously improve code quality, testing, observability, and maintainability across different systems., • Collaborate cross-functionally, • Work closely with product, design, compliance, legal, and operations to balance user experience, regulation, and business priorities., • Move fast, without breaking trust, • Deliver high-quality systems at the pace of a rapidly scaling global platform. Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript Who you are... • Strong technical foundation, • Deep experience with TypeScript, React, Node.js, and SQL/Postgres., • Systems thinker, • Comfortable designing complex, interdependent systems with financial, regulatory, and UX constraints., • Hands-on senior engineer, • You love writing code and solving hard problems — from low-latency checkout flows to resilient retry, fallback, and routing logic., • Clear communicator & collaborator, • Able to explain trade-offs, manage stakeholders, and work transparently across teams., • High standards, high velocity, • You move quickly without compromising on security, reliability, or quality., • Ownership & passion, • You take projects end-to-end and genuinely care about building world-class systems. Why Join? • Work on systems that directly impact trust, conversion, and revenue, • Competitive salary, equity, and benefits, • Hybrid or remote flexibility with flexible working hours, • Unlimited holiday, growth & wellbeing budget, • Join a high-calibre, mission-driven team that values ownership, transparency and speed Remuneration & Benefits -> Up to £110,000 + meaningful equity + benefits -> Unlimited holiday -> UK Remote (Office in Canary Wharf if you want to go in) -> Work closely with a brilliant, mission-led team If you want to hear more about the Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

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