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Data Architect London Up to £95,000 S/C Clearable We’re looking for a Data Architect to define and govern data architecture across complex programmes. You’ll set data strategy, design modern cloud data platforms, and provide technical leadership to delivery teams working in regulated environments. What you’ll have the opportunity to do as a Data Architect • Define and own enterprise and domain data architecture, • Design cloud‑based data platforms (lake, warehouse, lakehouse), • Establish data standards, governance, and modelling approaches, • Translate business requirements into architectural designs and roadmaps, • Govern delivery across data engineering and analytics teams, • Engage with senior technical and non‑technical stakeholders About the Candidate The right Data Architect should have: • Proven experience as a Data Architect or senior data engineer, • Strong data modelling background (conceptual, logical, physical), • Experience with Azure and/or AWS data services, • Knowledge of data governance, security, and data quality, • Comfortable operating in public sector or regulated environments, • Eligible for SC clearance (5+ years continuous UK residency) What’s in it for you? • Salary from £70,000 to £95,000, • Hybrid working based in London, • 25 Days holiday per annum, • Extensive benefits package, • Continuous training provided for career progression To hear more about the Data Architect role contact Daire McIlhatton at

Database Administrator Based in: City of London, Shoreditch/Hybrid About Amelco UK Ltd We are a leading gaming and gambling solution software provider with a strong presence in the USA, UK, and Europe. Through partnerships with global gaming companies, we build cutting-edge technical platforms across sportsbooks, lottery, casino, virtual gaming, and financial trading. Our vision is to shape the future of gaming by transforming operations into intelligent, data-driven solutions that deliver exceptional customer experiences and create sustainable value for all stakeholders. We believe in teamwork, knowledge sharing, and transparency with accountability. Technical Stack Our data ecosystem is built for massive scale and diverse query patterns: • Orchestration: Kubernetes (EKS), Terraform, Ansible and on-prem., • Data Pipelines: Kafka, CDC (Change Data Capture) tools like Debezium. Key Responsibilities • Multi-Engine Management: Administer a hybrid database environment, ensuring seamless data flow between PostgreSQL (Live Trading) and ClickHouse/Snowflake (Analytics)., • Data Movement & ETL: Own the reliability of CDC pipelines that stream data from production Postgres instances into the analytical layer., • Schema Evolution: Manage schema changes across different engines, ensuring that transactional data models translate effectively into columnar formats for analytics., • Monitoring & Cost Governance: Implement unified observability for the entire stack. Specifically, monitor Snowflake credit usage and ClickHouse resource utilisation to ensure peak ROI., • Automation: Use Python, Bash and/or Ansible to automate routine maintenance tasks, deployments and monitoring services. Technical Requirements & Experience Essential • Experience with AWS (specifically RDS and Aurora)., • Proficiency in Linux/Unix administration and shell scripting., • Knowledge of monitoring tools (e.g., Prometheus, Grafana, CloudWatch). Desirable • Knowledge of the betting or financial trading industry., • Relevant certifications (AWS Certified Database, Postgres Professional). Soft Skills • Problem Solver: You enjoy "under the hood" troubleshooting and RCA (Root Cause Analysis)., • Calm Under Pressure: Ability to handle high-stakes production incidents effectively., • Communicator: Can translate complex technical database issues to non-technical stakeholders. -Team Player: Enthusiastic about knowledge sharing and mentoring others. Amelco Benefits • Amelco matches up to 7% of your base salary. You will automatically be entered at 4%., • Staff Benefits Scheme: access to the staff benefits portal after successful completion of a 6-month probation period., • Yearly bonus scheme and pay reviews, • Opportunity to travel and visit our office in Poland and Hungary, • Flexible ways of working – home or office, it’s your choice! If you are interested, hit the apply button, and please ensure you upload a copy of your CV. We look forward to hearing from you!

Software Engineer Location: London Hybrid Model: 2–3 days in-office. Salary: £70,000 - £80,000 The Opportunity: Innovation at Enterprise Scale Join a leader in satellite communications that powers everything from high-speed home broadband to advanced connectivity for the aviation, energy, and government sectors. Within this leader in satellite communications, our London-based team operates with the agility of a startup but the mandate and resources of a major enterprise. We are looking for a sharp, proactive, and adaptable Full Stack Software Engineer to join a high-trust, high-autonomy team. This isn’t just a "coding" job, you will be architecting revenue growth. Our mission is to transform how sales teams operate by building data-driven products that process billions of records and directly influence millions in incremental revenue. The Impact You’ll Make You will join an elite team of senior developers and analytics engineers. your arrival will be pivotal in scaling their capacity and allowing the team to focus on new, forward-looking architectures. Key projects you’ll take ownership of include: • Commercial Data Portals: Presenting cleaned, modelled data to help sales teams filter and identify hundreds of thousands of potential customers., • AI-Powered Solutions: We are at the forefront of AI integration, building features like similarity matching for leads and automated resolution tools using LLMs., • Interactive Coverage Maps: High-performance tools providing visual insights into our global satellite reach. Your Tech Stack & Toolkit We believe in using the best tools for the job and staying ahead of the curve. You’ll work in a multi-language, hybrid-cloud environment: • Languages: High proficiency in Python and TypeScript (utilising React or Next.js)., • Cloud & Infrastructure: Deep involvement with AWS (Lambda, ECS/Fargate, S3, API Gateway) and deploying via Terraform., • Data: Working with BigQuery, SQL, and high-volume data pipelines., • AI-First Workflow: You won’t just build AI features, you’ll use AI coding tools daily to optimise your development workflow. The Profile: Are You Our Next Engineer? We aren’t looking for a rigid specialist. We want a generalist with 3 to 5 years of experience who is excited about learning and taking true ownership. • Mindset: You are autonomous, proactive, and flexible in your thinking. You take pride in building tools that people enjoy using., • Versatility: You are happy to dive into anything, from debugging a Lambda function to designing an LLM orchestration pipeline., • Collaborative: You thrive in a "high trust" environment where you can experiment with tools and add your own creative touch to the ecosystem.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

AI Product Manager – AI-Powered Platforms Remote (London, UK – Hybrid Option Available) AI | Product Management | SaaS / Enterprise Platforms About the Role We’re looking for an AI Product Manager to define, shape, and deliver AI-powered product features and capabilities across modern digital platforms. You’ll work closely with AI engineers, data teams, designers, and business stakeholders to turn emerging AI capabilities into real-world products that deliver measurable value. This role is ideal for product professionals who combine: • strong product thinking, • understanding of AI technologies and workflows, • and the ability to bridge technical and business teams effectively. What You’ll Be Working On • AI-driven product features and intelligent workflows, • Product roadmaps involving:, • generative AI, • automation, • recommendation systems, • copilots and assistants, • Defining how AI capabilities translate into scalable user experiences, • Coordinating cross-functional AI product delivery Key Responsibilities • Define and manage the roadmap for AI-powered products and features, • Work closely with engineering and AI teams to prioritise development, • Translate business and user needs into technical product requirements, • Identify high-impact AI use cases and opportunities, • Coordinate delivery across product, engineering, design, and operations, • Monitor adoption, performance, and user feedback to continuously improve AI features, • Support go-to-market and AI adoption strategies Required Skills & Experience • 4+ years experience in product management or digital product delivery, • Strong understanding of AI / machine learning concepts and capabilities, • Experience working closely with engineering and technical teams, • Ability to define product strategy and prioritise roadmaps, • Strong communication and stakeholder management skills Nice to Have • Experience with AI-powered SaaS products or automation platforms, • Familiarity with LLMs, copilots, or generative AI systems, • Experience working in startup or fast-scaling environments, • Understanding of analytics, experimentation, and product metrics Why Join? • Work on next-generation AI-powered digital products, • Collaborate with highly technical AI and engineering teams, • Remote-first flexibility with hybrid collaboration in London, • Opportunity to shape AI capabilities used by real customers at scale If you’re passionate about building AI-driven products that solve real problems, we’d love to hear from you. Apply via XpertDirect — connecting companies with advanced AI and product talent.

Senior Backend Engineer – Mobile - Fully Remote Anywhere in UK & Europe! £115,000 I’m working with a high-growth, consumer-facing mobile platform used by millions globally, who are building out a brand new monetisation engineering function. They’ve recently evolved into a more mature, product-led engineering organisation with dedicated squads aligned to Product, and are now hiring a backend engineer to sit at the centre of how they generate revenue. This is a high-impact role focused on building and scaling the systems behind subscriptions, payments and pricing - owning the reliability and performance of the monetisation funnel end-to-end. What you’ll be doing: • Designing and building scalable backend systems that power subscriptions, billing and pricing logic, • Owning the performance, reliability and correctness of revenue-critical systems, • Working closely with Product and Data to support experimentation, analytics and growth initiatives, • Helping shape how monetisation is built as the business continues to scale Tech stack: • Node.js, TypeScript, • AWS, • DynamoDB What they’re looking for: • Strong backend engineering experience in high-scale, consumer-facing products, • Experience working on business-critical systems (payments, subscriptions, or similar high-throughput environments), • Ability to work closely with Product Managers, challenge where needed and prioritise effectively, • Strong communication skills and a product mindset Nice to have: • Experience with in-app purchases or subscription platforms, • Background in mobile-first products, • Exposure to analytics, experimentation or feature flagging systems The setup: • Fully remote, distributed team, • Mature squad structure with strong engineering leadership, • Opportunity to take ownership in a newly formed team with clear progression into leadership If you’re interested, drop me a message or apply and I’ll run you through the details.

🎓 Graduate Software Developer / Quantitative Developer / Quantitative Researcher 📍 Location: London (Hybrid) 💷 Compensation: Up to £180,000 + Bonus + Benefits 🏢 Client: Prestigious Fund 🚀 Kickstart Your Career in Technology & Quantitative Finance Just graduated and ready to launch your career at the intersection of technology, mathematics, and finance? Join an elite global trading firm where innovation drives everything — no legacy systems, no bureaucracy, just cutting-edge tech and world-class mentorship. You’ll work on greenfield projects from day one, collaborating with exceptional engineers, quants, and researchers to build the systems and models shaping the future of global trading. 🔧 What You’ll Do • 🧠 Design and enhance advanced trading systems and analytics platforms, • 📊 Develop and implement your own quantitative models and research ideas, • 🤝 Collaborate closely with top technologists, quants, and portfolio managers, • 🚀 Learn fast, build fast: develop technical and analytical expertise in a performance-driven culture ✅ What You’ll Bring • 🎓 Degree in Computer Science, Mathematics, Physics, Engineering, or another STEM discipline, • 💻 Strong programming skills in Python, C++, Java, C#, or KDB+/Q, • 🔍 Analytical mindset with a passion for tackling complex, data-driven challenges, • ⚡ Curiosity, drive, and the ability to thrive in fast-paced, intellectually demanding environments 🌟 Why Join • 🌍 Greenfield Work: Contribute to high-impact projects from day one, • 🧠 Exceptional Mentorship: Learn from world-class engineers and quantitative researchers, • 🛠 Cutting-Edge Tech: Access the latest tools, infrastructure, and computing resources, • 📈 Fast Career Growth: A meritocratic culture that rewards innovation and initiative If you’re a motivated graduate eager to make an immediate impact in high-performance technology or quantitative finance, we’d love to hear from you. 📧 Apply now or reach out to me directly:

Senior Technical Account Manager (BMS / Smart Buildings) London | Hybrid | £55,000 – £65,000 + strong benefits | 4-day week Do you understand how buildings really operate behind the scenes? Do you enjoy combining engineering insight with client-facing commercial impact? Would you like a 4 day week!?! A fast-growing, award-winning smart-buildings technology company is hiring a Senior Technical Account Manager (BMS / Smart Buildings) to help major property owners optimise building performance using advanced analytics and real-time data. Backed by significant recent investment and working with leading commercial portfolios, universities and public institutions, the business is experiencing strong growth driven by net-zero targets, smart building adoption and AI-enabled operational efficiency. This role sits at the intersection of building services engineering, customer success and sustainability impact. Why Join • Genuine opportunity to shape performance outcomes across large building portfolios, • Work for a purpose-driven scale-up delivering measurable energy and carbon reduction, • 4-day working week supporting work–life balance, • Exposure to enterprise clients and senior stakeholders, • Fast-growing tech environment with strong investment backing and product innovation, • Collaborative, supportive and sociable team culture The Role • Own the full lifecycle of key customer accounts, from onboarding through to renewal and growth, • Act as the technical interface between engineering teams and client stakeholders, • Analyse HVAC, metering and building control performance to drive optimisation, • Deliver training, insights and ongoing advisory support to ensure platform adoption, • Lead regular performance reviews and identify opportunities to expand contracts, • Translate technical data into clear commercial and operational recommendations, • Support continuous product improvement through structured customer feedback, • Help deliver tangible outcomes in energy efficiency, occupant comfort and maintenance strategy The Profile • Strong experience in technical account management or building services engineering, • Deep understanding of BMS systems — particularly Niagara (essential), • Solid knowledge of HVAC systems, controls strategies and energy optimisation, • Experience with integration protocols such as BACnet, Modbus or similar, • Comfortable engaging senior stakeholders while maintaining technical credibility, • Highly organised, analytical and naturally inquisitive, • Motivated by purpose, sustainability and real-world performance impact, • Degree or HNC in Building Services Engineering (or similar) advantageous Package & Benefits • Salary typically £55k–£65k depending on experience, • 4-day working week (30 hours), • Flexible hybrid working model, • Matched pension contribution, • Enhanced holiday allowance, • Employee wellbeing and assistance support

Head of AI Governance Reporting to: Director of Data Protection & AI Governance Office Location: London Role Purpose & Objectives The Head of AI Governance at Hays will be key to enabling safe and fast adoption of AI through pragmatic guardrails, clear approval pathways, and proportionate assurance. This role is central to balancing innovation with regulatory and ethical obligations in an industry where most key AI use cases are high-risk under the EU AI Act. The role ensures compliance with applicable AI laws (including the EU AI Act) and alignment to recognised frameworks (ISO/IEC 42001, NIST AI RMF), and manages AI risk across the Group in close partnership with the Director of Data Protection & AI Governance, Group Technology, AI and Procurement Counsel, Regional DPOs, Information Security, Legal, Compliance and Technology. The role will play a critical role in managing AI risk, developing, and operationalising established Has AI policy and our Responsible AI Governance Framework, in the context of a rapidly evolving regulatory and technology landscape. Key Stakeholders • Group Senior Leadership – advise on AI compliance and risk and provide formal reports on AI governance posture., • Director of Data Protection & AI Governance and Regional DPOs – align AI governance with data protection, coordinate joint assessments, and support consistent global standards., • Group Technology, AI & Procurement Counsel – work closely on regulatory compliance, including the operationalisation of the Hays Responsible AI Governance Framework, and work jointly on key projects and initiatives., • Regional Legal teams, Compliance, and IT Security Teams – ensure integrated controls are in place and effective., • Technology, Data & Analytics, and Product Teams – partner on responsible design, development, and deployment of AI systems, • Recruitment Consultants – support responsible use of AI in candidate sourcing, screening and decisioning, with appropriate human oversight, • HR – support responsible and appropriate use of AI in internal human resource management and operations, • External regulators, industry bodies, and peer networks – work with the Director of Data Protection & AI Governance to engage as required to represent Hays and stay ahead of developments. Key Activities Governance & Policy: • Work closely with Key Stakeholders to iterate, maintain, and embed the Group AI governance framework, policies, standards, and acceptable use guidance ensuring appropriate recognition of responsibilities as a deployer and provider of AI solutions., • Maintain the Group AI inventory / register, ensuring alignment to regulatory requirements such as classification of AI systems and risk tiers., • Define and operate AI intake, triage, and approval processes for new and existing AI use cases (in-house developed, vendor-supplied and embedded features), • Provide regular formal reports on AI governance posture to the Director of Data Protection & AI Governance, and support on reporting to Executive Leadership Team and Audit and Risk Committee, • Lead Hays to achieve ISO42001 certification and maintain ongoing compliance. Enablement, Advisory & Risk Management: • Identify, assess, and mitigate AI risks across Group and regional projects, products, and operations., • Conduct and oversee AI Risk Assessments (AIRAs), Fundamental Rights Impact Assessments (FRIAs), algorithmic bias / fairness assessments, and model risk reviews, working alongside the DPO team, Technology, AI and Procurement Legal Counsel, and regional Legal teams., • Maintain and update AIRA and FRIA methodologies and supporting templates in line with regulatory requirements and business needs., • Identify and deploy AI-specific controls and metrics to provide assurance across the Group, including model monitoring, human oversight, and transparency requirements., • Act as a key point of contact for Technology, Information Security, and Data & Analytics teams on AI risk, ensuring close collaboration on shared priorities (e.g. data quality, model security, third-party AI risk, bias, and discrimination risk), • Work with Key Stakeholders to integrate AI risk into the Group Enterprise Risk Management framework to ensure AI risk appetite is agreed and monitored. Regulatory Engagement: • Work with Key Stakeholders to monitor and manage emerging regulatory developments in AI (EU AI Act, UK AI regulation, US state laws [such as Colorado AI Act, NYC Local Law 144, Illinois AI Video Interview Act, California ADMT regulations], APAC regimes [such as Australia AI Safety Standard, Japan METI AI Guidelines]) and translate them into actionable Group requirements, • Support on multi-jurisdiction AI regulatory change and obligations management, • Track and respond to relevant standards, codes of practice and regulator guidance. Training & Awareness: • Drive and own Hays AI literacy programme across the Group and ensure literacy is appropriately scaled to adoption and use (across executive leadership, technology, recruitment consultants, HR), • Design and deliver AI governance training and awareness programmes, including but not limited to AI literacy obligations under the EU AI Act, • Proactively engage with high-risk teams (e.g. Technology, HR, Recruitment Consultants) to improve AI risk education and responsible-use practices, • Coordinate with the DPO function to ensure consistency between AI and data protection training. Monitoring & Reporting: • Identify, track and report AI governance metrics and KPIs to the Director of Data Protection & AI Governance and senior leadership, including coverage of the AI inventory, assessment completion, control effectiveness, and incident trends., • Support in the ongoing monitoring and lifecycle management of key AI systems, • Provide management information for Group governance forums, ELT and the Audit and Risk Committee, • Support internal and external audit activity relating to AI., • Develop and oversee a monitoring programme to review model performance and drift risk, transparency and explainability obligations, regular testing for bias & discrimination. AI Operations: • Act as the Subject Matter Expert for AI-related queries, complaints, and incidents (e.g. allegations of bias, automated decision-making concerns, AI-related data subject rights matters), • Coordinate AI incident response with Information Security, the DPO team, and Communications and maintain appropriate records., • Act as super-user for AI governance technology and tooling and lead on the roll-out and integration of new tools across DPO, Legal, Risk and Technology teams., • Support the Group Technology, AI, and Procurement Counsel to oversee third-party AI risk, including vendor due diligence, contractual safeguards, and ongoing supplier monitoring., • Ensure sufficient notice, transparency and explanations on use of AI and the associated rights, are provided to candidates, employees, and clients. Knowledge, skills, qualifications, and experience In-depth knowledge of: • Global AI laws and emerging AI governance frameworks (EU AI Act, ISO/IEC 42001, NIST AI RMF, OECD principles), • Global data protection laws and their interaction with AI (GDPR Article 22, automated decision-making, profiling), • AIRA methodologies, including bias, fairness, explainability and human oversight considerations., • AI technologies and the AI/ML lifecycle, including generative AI, foundation models, and traditional ML., • The recruitment industry and/or equivalent highly regulated industry, • Working in global multi-jurisdictional environments, • Recruitment practices and Hays organisational knowledge is desirable. Qualifications: • Professional certifications highly desirable (e.g. IAPP AIGP, ISO/IEC 42001 Lead Implementer, CIPP/E, CIPM), • Degree in a related field (Computer Science, Compliance, Data, AI, Technology, etc.) Skills and Competencies • Pragmatic Judgement: Ability to make timely risk-based calls under regulatory ambiguity., • Technical Acumen: Strong understanding of emerging technology, data flows, security controls, model behaviour, and AI tooling, • Stakeholder Management & influencing: Strong influencing and relationship-building skills across diverse cultures and disciplines (legal, technical, and commercial) often without direct authority., • Communication: Clear and persuasive verbal and written communication for senior stakeholders, including the ability to translate technical AI concepts for non-technical audiences, • Leadership & Ownership: Ability to take accountability for AI risk across a complex, global business., • Project Management: Ability to deliver change, manage issues and risks, and create and execute plans across multiple workstreams., • Analytical Capability: Excellent risk analysis, problem-solving, and judgement skills, • Resilience & Adaptability: Ability to manage a fast-moving regulatory and technology environment alongside competing business demands., • Ethics & Integrity: Exceptional ethical standards, and an ability to apply ethics & integrity practically and pragmatically to support technical designs, testing and implementation of AI use cases across the Group. At Hays, we share a passion for creating a culture of opportunities for our people to flourish and succeed, whatever your background. We know that diversity of perspective and an inclusive approach, which encourages those experiences and views to be heard, is great for business and therefore your career.

Data Engineering / Analytics Lead – AI Deployment (Fixed Term, 14 Months) Ready to move AI from hype to production? My client are looking for a hands-on AI & Analytics Lead to drive real-world deployment of AI into a high-impact partnerships environment. This is not a research role — it’s about execution, delivery, and changing how analytics is done at scale. You’ll take ownership from idea to production, building AI-powered analytics solutions that transform decision-making and operational workflows. Along the way, you’ll establish repeatable patterns, uplift capability across teams, and help redefine how AI is delivered in practice. What you’ll do • Deploy AI-driven analytics solutions into production using modern data platforms, • Own end-to-end delivery: from business problem to live capability, • Automate and scale insights, reporting, and decision support, • Build reusable frameworks and enable others across the organisation, • Partner closely with stakeholders to drive adoption and impact What you’ll bring • Strong experience delivering AI/analytics solutions in production, • Hands-on expertise with modern data platforms (e.g. Fabric or similar), • Solid SQL and working Python knowledge, • Experience with BI tools and data modelling workflows, • A pragmatic, “get-it-done” mindset with strong stakeholder engagement Why this role • Deliver real AI solutions at scale, not proofs of concept, • High ownership and visibility across the business, • Opportunity to shape how AI is deployed and scaled If you’re excited by building, deploying, and embedding AI where it actually matters, please apply or email me directly at

My client, a leading fixed income hedge fund, is seeking an experienced Python Developer to join their Business Engineering team in London. Working within a high-impact technology group, you will play a key role in building and enhancing applications that support one of the firm’s most strategically important investment businesses. The role sits at the intersection of technology and front-office operations, with a focus on automation, analytics, workflow optimisation, and the modernisation of legacy infrastructure. You will be responsible for developing scalable Python applications, improving data-driven tooling, and supporting the migration of critical systems into a modernised technology stack. The ideal candidate will possess strong Python development skills and Terraform skills, alongside excellent communication abilities and a highly collaborative mindset. Exposure to financial systems, automation tooling, or analytics platforms would be highly advantageous, while experience with fixed income products, mortgages, or structured assets is desirable. This opportunity would suit an engineer who enjoys working in a fast-paced, delivery-focused environment where technology has direct impact. My client offers a highly competitive compensation package, including strong bonus potential and a comprehensive benefits offering. In addition, employees benefit from excellent on-site facilities, flexible hybrid working, and the opportunity to work alongside some of the industry’s leading engineering and investment professionals. To apply, click the link below or send your resume directly to .

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Purview Data Governance Consultant Our Data & AI team is made up of curious, client-focused professionals who help organisations build trusted, governed, high-quality data solutions. We’re looking for a Purview Data Governance Consultant with strong data governance and data management experience (including data quality and MDM) and hands-on technical skills from a data analyst or data engineer background, with an appreciation of broader cloud architecture and networking. If you’re passionate about helping organisations understand, trust, and govern their data—and you enjoy working at the intersection of governance, platforms, and delivery—we’d love to talk. Come join us As a member of Avanade’s Data & AI practice, you’ll work with clients to design, implement, and embed modern data governance capabilities across Microsoft Purview, cloud data platforms, and analytics ecosystems. You’ll play a hands-on role in helping organisations establish clear data ownership, classification, lineage, and policy enforcement — turning governance from theory into something that genuinely enables analytics and AI. This role is ideal for consultants who are both governance-minded and technically capable, able to work credibly with data engineers, platform teams, and business stakeholders alike. Together we do what matters. What you’ll do • Design and implement data governance solutions using Microsoft Purview Data Governance, including cataloguing, classification, lineage, and domain-based governance models, • Use governance to enable data value creation, discoverability, secure access, and responsible data use, • Work with clients to define data ownership, stewardship, policies, and operating models aligned to business and regulatory needs, • Configure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelines, • Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives, • Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement, • Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated wherever possible, • Translate governance concepts into clear, actionable guidance for both technical and non-technical stakeholders, • Help clients move from ad hoc or tool-led governance to sustainable, product-oriented, domain-aligned models, • Contribute to the development of Avanade accelerators, patterns, and thought leadership in data governance and trust Skills and experience • Proven experience as a Data Governance Consultant, Data Analyst, Data Engineer, or similar role within data or analytics programmes, • Hands-on experience with Microsoft Purview Data Governance, including cataloguing, classification, lineage, and policy concepts, • Experience working with or implementing Databricks Unity Catalog, • Strong understanding of modern data platforms and architectures, ideally within Microsoft and Databricks ecosystems, • Practical technical skills in SQL, Python, and data engineering / analytics tooling, enabling effective collaboration with delivery teams, • Experience in a consulting or client-facing environment, engaging stakeholders with differing priorities, • Ability to explain governance concepts clearly and pragmatically, focusing on enablement rather than control, • Experience with technologies such as Azure, Databricks, Microsoft Fabric, Power BI, and data integration tools is advantageous About you Characteristics that set you up for success in this role include: • Pragmatic and outcome-focused, with a desire to make data governance genuinely useful, • Comfortable working across governance, data engineering, and analytics communities, • Curious about how organisations use (and misuse) data, and how better governance can unlock value, • Confident working in uncertain or evolving data landscapes, • Collaborative, supportive, and able to influence without authority, • Keen to learn and stay current with emerging approaches to data trust, governance, and AI readiness Enjoy your career Some of the best things about working at Avanade: • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), • A minimum of 80 hours per year dedicated to learning, certifications, and professional development, • Access to global Data & AI communities, accelerators, and subject-matter experts, • The chance to work on complex, high-impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page

Head of Risk Technology - Multi-Strategy Hedge Fund - CTO Visibility - Up to £600k TC A leading multi‑strategy alternative investment manager is seeking a Head of Risk Technology to own the design and evolution of its cross‑asset risk platform while leading a focused, high‑calibre engineering team. The environment is deliberately lean but resourced: the remit is to modernise and industrialise risk systems in a pragmatic way, with clear sponsorship from senior Risk and Technology leadership and an explicit mandate to prioritise depth and robustness over unchecked scope. You will sit at the intersection of Risk, Front Office and Technology, with clearly defined accountabilities around platform reliability, delivery priorities and stakeholder engagement, rather than diffuse “own everything” expectations. Success is measured against agreed objectives for coverage, performance, stability and adoption, and you will have the autonomy to sequence work sensibly rather than react purely to ad‑hoc demands. Key Responsibilities • Own the architecture and technical strategy for market, liquidity and counterparty risk platforms, with a clear and realistic roadmap that is jointly agreed with the Chief Risk Officer and Head of Technology., • Work closely with risk managers, quants and portfolio managers to translate risk methodologies (VaR, expected shortfall, factor and Greeks‑based risk, liquidity and concentration limits) into maintainable, well‑documented systems, with agreed sign‑off on requirements and changes., • Lead the design and implementation of a coherent risk data model across asset classes, focusing first on the most material products and risk factors to avoid “boil the ocean” projects., • Build and evolve risk analytics and calculation services that balance sophistication with operational simplicity, emphasising testability, observability and graceful degradation during market stress., • Drive the roadmap for risk dashboards and visualisation tools, with an emphasis on real usage: partner with end‑users to iterate on UX and establish feedback loops, training and support to encourage adoption., • Establish and enforce practical software engineering standards (testing, CI, code review, monitoring, SLAs, incident playbooks) that are appropriate for a lean team but still meet institutional expectations., • Collaborate with data and infrastructure teams so that data quality, ingestion pipelines and reconciliations are treated as shared responsibilities, not problems handed solely to risk technology., • Take structured ownership of production stability for risk systems, including clear on‑call rotations, sensible out‑of‑hours expectations and post‑incident reviews focused on systemic fixes rather than blame., • Hire, mentor and retain a small, senior engineering team, giving them meaningful ownership of components while ensuring they are shielded from unnecessary noise and context switching., • Evaluate build‑versus‑buy choices systematically, using criteria agreed with Risk and Technology leadership, and ensuring that vendor tools are integrated in ways that avoid long‑term lock‑in or opaque black‑box risk. Candidate Profile • Extensive experience (typically 10+ years) in risk or quant technology at a top‑tier hedge fund, proprietary trading firm, investment bank or electronic market‑maker, including a track record of delivering production platforms rather than only prototypes., • Strong hands‑on engineering skills in at least one major language used for risk engines (e.g. C++, Java or C#), plus experience with Python or similar for data tooling, with the willingness to remain involved in design and code for critical components., • Deep, practical understanding of market risk concepts (VaR, PnL attribution, stress testing, scenario design, sensitivities/Greeks, liquidity and basis risk) and how they feed into everyday decision‑making for CROs and PMs., • Experience simplifying complex, legacy‑plus‑greenfield environments: you know how to progressively rationalise tactical tools and spreadsheets without attempting an unrealistic “big bang” rewrite., • Demonstrated ability to set boundaries and priorities: comfortable saying “no” or “not now” to stakeholders when necessary, and skilled at explaining trade‑offs between speed, model sophistication and operational robustness., • Proven leadership of small, senior teams in high‑stakes environments, including managing incident response calmly and fostering a culture of learning rather than blame when issues occur., • Strong communication and relationship‑building skills, able to represent risk technology credibly to senior management and to secure buy‑in for platform and process changes., • Appetite for operating in a collaborative, in‑office culture, with short decision lines and direct access to senior risk and investment leadership, and with a clear understanding of the personal accountability that comes with that.

Affinity Labs: Product (Consumer) Location: London Area, United Kingdom · Hybrid Company Description At Affinity Labs, we're building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to audiences of millions at launch through partnerships with the world's largest creators, and compound impact across multiple products, not just one. Role Description You'll own product across a portfolio of high-growth consumer apps, working closely with the founders, creators, designers, and engineers to take ideas from lean spec to live product and then scale what works. This is an early-stage, hands-on role with significant autonomy: one week you're running zero to one discovery on a new concept with a household-name creator, the next you're tuning activation and paywall conversion on a product with hundreds of thousands of active users. You'll move between products quickly, carrying learnings with you, and lean heavily on AI dev tools to prototype, test assumptions, and hand off cleanly to engineering. Responsibilities • Lead product processes across multiple consumer apps in the portfolio from zero to one concepts to scaling mature ventures., • Run tight discovery loops: talk to users, prototype in AI dev tools, test assumptions fast, kill what doesn't work., • Drive activation, retention, monetisation, and growth experiments on live products, including paywall optimisation, onboarding, pricing tiers, A/B tests., • Write crisp specs and hand off seamlessly to engineering via Linear; reduce ambiguity so devs can move at full speed., • Partner with designers on UX decisions and flows; use Figma / Lovable to prototype and communicate intent., • Work side-by-side with world-class creator partners on product direction, roadmap, and launch., • Own the analytics story for your products: build dashboards in PostHog, define the metrics that matter, surface insights to the team., • Participate in daily standups and weekly planning; contribute to product strategy and execute relentlessly. Essential Requirements • 3–7+ years shipping B2C software products, • Consumer mobile experience: shipped at least one app via App Store / TestFlight to meaningful users., • Subscription / IAP monetisation: hands-on experience with paywalls, pricing tiers, and conversion optimisation., • AI-native workflow: comfortable leveraging AI dev tools (ClaudeCode, Cursor, Lovable or similar) to move quickly, test assumptions, build early prototypes, and transfer knowledge seamlessly to engineering., • Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed., • Growth mindset & flexibility: open to feedback; not rigid about tools or process., • Clear communicator who can earn the trust of engineers, designers, and creator partners alike. Desired • Direct experience collaborating with creators, influencers, or talent in a product context., • Able to contribute to UX decisions, push on flows, and ship Figma / Lovable prototypes when design is bandwidth-constrained., • Experience with PostHog, RevenueCat, Supabase, or similar consumer product analytics / monetisation stacks., • Planning & execution in Linear (or similar)., • Background in a fast-paced venture-backed consumer startup or venture studio. Tools & Stack • Product analytics: PostHog, • Monetisation: RevenueCat, • Planning: Linear, • Design / prototyping: Figma, Lovable, • Data: Supabase, • Collaboration: Notion, Slack, • AI dev tools: Claude Code, Cursor, and the wider AI-native workflow stack Why this role is a career launchpad • Build alongside the world's biggest creators. You'll work directly with household-name partners on products going to audiences of millions — exposure that's nearly impossible to find elsewhere., • Own the product & the company. You step in as a Founding PM with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time on the hard product questions, not the drag., • Ride a rocket. Affinity Labs is a venture studio co-founding consumer apps with top creators. The roadmap is ambitious and the bar is high., • Grow like crazy. You'll touch multiple products each year, spanning discovery, launch, and scale. The shipping reps you'll get in 12 months here would take 3–4 years in a typical PM role., • Learn from builders, not bosses. Work shoulder-to-shoulder with founders who've scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators.

SMART BUILDINGS BMS ENGINEER (INTEGRATION / IoT FOCUS) £40,000–£80,000 + expenses | Remote Are you a BMS Engineer who enjoys working at the intersection of building systems, data, and modern technology? Do you want to go beyond traditional controls work and play a key role in connecting buildings to the cloud, enabling smarter, more efficient energy performance? This a fast-growing energy-tech business looking for a Smart Buildings BMS Engineer with strong integration and IT awareness to deliver end-to-end projects across commercial buildings. THE ROLE • Carry out site surveys, scope upgrades, and plan smart building integrations, • Install and configure BMS hardware: controllers, sensors, field devices, and panels, • Integrate HVAC, metering, and building systems using BACnet, Modbus, KNX, MQTT, • Connect building systems to cloud platforms via APIs, gateways, and IP networks, • Commission systems including Niagara 4, Trend IQVision, Siemens PX, Distech, • Troubleshoot data flow, connectivity, and system performance issues, • Structure and validate building data to support analytics and optimisation, • Work independently across multiple sites, delivering high-quality technical outcomes WHY JOIN? • Work at the forefront of smart buildings, IoT, and energy optimisation, • Combine hands-on engineering with modern data and integration work, • End-to-end ownership — from survey through to live system performance, • Exposure to cloud platforms, APIs, and advanced building analytics, • Join a high-growth, forward-thinking team shaping the future of building tech, • Clear progression into technical lead / integration specialist roles THE PROFILE • Strong BMS background (installation, commissioning, or integration), • Experience with Tridium Niagara, Trend, Siemens, Distech or similar, • Solid understanding of building protocols (BACnet, Modbus, KNX), • Comfortable working with IP networks, gateways, and system connectivity, • Exposure to MQTT, APIs, JSON, or cloud platforms (AWS or similar) highly desirable, • Electrical background beneficial (NVQ Level 3 / 18th Edition preferred, not essential), • Proactive, organised, and comfortable working independently in a fast-moving environment, • Willing to travel across the UK as required PACKAGE £40,000–£80,000 DOE Remote with UK-wide travel | Full-time or contract Immediate / flexible start Expenses covered

Senior Business Analyst Perm Role SC Eligible OR Active SC Candidate London - 1-2 day Travel per week to office Role Summary The Senior Business Analyst (BA) will play a critical role in supporting multidisciplinary delivery teams to successfully deliver the HPV Self‑Testing service into Private Beta, and to iterate and mature the service through structured learning from user feedback, operational insights, and clinical and policy constraints. The post holder will work closely with Delivery Managers, Product Managers, UCD designers, engineers, clinical and policy stakeholders, translating user needs, service outcomes, and policy intent into clear, prioritised, and testable requirements. The role requires experience working in Government digital services, with a strong understanding of agile, user‑centred delivery in complex, regulated environments. Senior Business Analyst – Key Responsibilities Service & User Analysis • Work with UCD, Product and Clinical stakeholders to understand user needs, clinical requirements, and policy intent., • Translate user research findings into clear service requirements, hypotheses, and acceptance criteria., • Collaborate closely with Delivery Managers and Product Managers to refine and prioritise the backlog., • Produce high‑quality user stories, process maps, and supporting artefacts suitable for Private Beta delivery., • Support delivery of the HPV Self‑Testing service into Private Beta, ensuring:, • Clear scope and success measures, • Traceability between user needs, policy goals, and delivered features, • Analyse user feedback, support data, operational insights, and analytics gathered during Private Beta., • Work with the team to adapt and refine service journeys based on evidence., • Act as a bridge between delivery teams and wider stakeholders including policy, clinical, operational and assurance groups., • Facilitate workshops and structured conversations to resolve ambiguity and build shared understanding., • Ensure business analysis outputs support compliance with:, • GDS Service Standard, • Accessibility and inclusive design requirements, • Support preparation for service reviews, show‑and‑tells, and assurance checkpoints. Essential Skills & Experience Essential • Proven experience as a Business Analyst in Government and/or NHS digital services, • Strong experience working in Agile, multidisciplinary teams, • Demonstrated ability to translate user needs into clear, actionable requirements, • Experience supporting Beta or Live digital services, • Experience working on screening, prevention, or healthcare services, • Familiarity with GDS Service Standard and service assessments, • Experience interpreting user research and service analytics, • Exposure to User‑Centred Design (UCD) practices Why This Role Matters This role directly supports the safe, effective, and inclusive rollout of an important preventative health service. Success will help improve cervical screening uptake, reduce inequalities in access, and ensure that learning from real users meaningfully shapes the future of the service.

🚀 Contract Role: AI / Data / ML Prototype Engineer (Rapid PoC Builder) We are seeking a highly autonomous contractor who thrives on turning loosely defined ideas into working solutions quickly. This role is focused on rapid experimentation, validation, and prototyping—not long delivery cycles. The goal is simple: determine quickly whether an idea is viable and worth scaling. 🧩 The Role You will take early-stage concepts and independently build end-to-end proofs of concept (PoCs), combining data engineering, machine learning, and lightweight application development. Where a PoC shows promise, you will extend it into a functional prototype aligned to real business needs. You will work with minimal guidance, move fast, and communicate findings clearly to stakeholders. ⚙️ Key Responsibilities • Build PoCs from loosely defined ideas within 2–3 days, • Design and implement end-to-end experimental solutions (data → model → output), • Combine data engineering, analytics, and ML to test feasibility quickly, • Develop lightweight prototypes (APIs, notebooks, dashboards, simple UIs), • Translate business ideas into technical approaches independently, • Iterate rapidly based on feedback and refine working solutions, • Integrate data from APIs, SQL sources, and cloud platforms, • Apply ML/NLP techniques where relevant to validate concepts, • Clearly document and communicate outcomes, assumptions, and limitations, • Strong ability to turn ideas into working software quickly, • Hands-on Python experience (data processing, prototyping, ML), • Strong SQL and data engineering skills (APIs, pipelines, cloud data), • Experience building end-to-end prototypes, not just models, • Understanding of ML fundamentals (feature engineering, evaluation, etc.), • Ability to work in ambiguous, fast-moving environments, • Experience integrating LLMs or AI services into applications, • Familiarity with modern data platforms (e.g., Snowflake), • Experience with visualization tools (Tableau, Plotly, etc.), • You can go from idea → working PoC in 2–3 days, • You can evolve PoC → usable prototype in 2–3 weeks, • You help teams make fast, evidence-based decisions, • You prioritise practical outcomes over perfect engineering

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

A specialist renewable energy advisory firm is hiring a Data & Modelling Analyst to support quantitative analysis and modelling across major energy and infrastructure projects. This is a highly analytical role focused on energy systems, optimisation modelling and data-driven decision making. You will work closely with developers, utilities, investors and government bodies on projects related to renewable energy, storage, market design and decarbonisation. Role: Data & Modelling Analyst Salary: Competitive, dependent on experience Location: London, hybrid working (typically once per week onsite or less) What you’ll be doing: • Prepare, structure and analyse large datasets across energy markets, grid systems and policy scenarios, • Build and run mathematical optimisation and simulation models using Python, • Support analysis across areas such as storage optimisation, dispatch modelling and market simulations, • Develop dashboards, notebooks and reporting outputs to communicate modelling insights clearly, • Contribute to scenario analysis and strategic recommendations for clients across the renewable energy sector, • Work closely with senior consultants and external stakeholders on complex analytical projects, • Help improve reproducibility, data workflows and modelling processes across the business What you’ll need: • Around 3 years’ commercial experience within data analysis, modelling or energy analytics, • Strong Python skills including pandas, NumPy, SciPy and data visualisation libraries, • Experience with mathematical optimisation or modelling techniques such as LP/MILP, • Understanding of electricity markets, power systems or renewable energy environments, • Experience with Power BI and basic SQL, • Comfortable working with large, imperfect real-world datasets, • Ability to explain complex analytical findings to non-technical stakeholders, • Self-sufficient and organised working style Nice to have: • Experience within energy modelling, storage optimisation or decarbonisation projects, • Understanding of machine learning concepts or forecasting models, • Familiarity with Git and collaborative coding workflows, • Interest in renewable energy, climate technology and energy transition projects This role would suit someone who enjoys combining technical modelling skills with real-world energy challenges, and who wants to contribute to projects supporting the transition to renewable energy.

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.

About Accelerant Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit ___. Full Stack Software Engineer - Data Observability & Operational Tooling Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Data Observability team is looking for a Full Stack Software Engineer with a front-end emphasis to build and serve the internal operational tooling and data observability capabilities that power our data platform. This is a unique role: you'll be a software engineer embedded within a data analytics engineering team, working with a high degree of independence to design and deliver tooling that makes data pipelines visible, actionable, and trustworthy for stakeholders across the business. What you'll be doing • Designing and building front-end interfaces for internal operational tooling, including dashboards, data observability views, and stakeholder communication surfaces, • Developing rich data visualizations that surface pipeline health, data quality metrics, and business KPIs to technical and non-technical audiences, • Building and maintaining backend services that support operational tooling, integrating with data infrastructure such as Snowflake, dbt, and monitoring platforms, • Collaborating closely with data engineers, analytics engineers, and business stakeholders to translate data observability requirements into intuitive, high-quality interfaces, • Working independently as a software engineer within a data-focused team, driving technical decisions for the tooling layer while leveraging other full stack teams across the organization for guidance and support, • Shipping iteratively, balancing speed of delivery with code quality, maintainability, and scalability What you bring to the table • Experience building and scaling web applications, with particular strength in front-end development, • Strong understanding of modern JavaScript/TypeScript frameworks and component-based architectures, • Comfort working with data-heavy interfaces: tables, charts, filters, and interactive visualizations, • Ability to work independently and drive projects end-to-end with minimal oversight, • Strong coding ability and a track record of shipping high-quality software, • Excellent communication skills, with the ability to collaborate effectively with data engineers, product managers, and business stakeholders, • Passionate problem-solving mindset and a strong sense of ownership. Desired qualifications • Experience with TypeScript, • Experience with Svelte, or equivalent modern component framework (React, Vue), • Experience building data visualization and dashboard interfaces (e.g., D3.js, Chart.js, Plotly, or similar), • Experience with cloud platforms such as AWS, • Familiarity with data platforms and tools such as Snowflake, dbt, or similar analytics infrastructure, • Experience with SQL and comfort working with analytical data sets, • Experience with Python is a plus, given the data team's tooling ecosystem, • Experience with monitoring and observability platforms (e.g., Datadog, Grafana) is a plus.

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration Nice-to-Have Qualifications • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously, • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with RAG, LLM Orchestration and MCP, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Senior Software Engineer | ~£950/day Outside IR35 | 6-months initial contract | London Industry: Trading Location: London Job Type: Contract - 6-month initial Our client is building the next generation of execution and order management (EMS/OMS) infrastructure for global commodities trading. You will join a small, fast-moving engineering team designing and delivering a cloud-native trading platform from the ground up, tightly integrated with risk, pricing, and market data systems to support high-performance trading environments. This is a senior, hands-on role for an engineer who wants end-to-end ownership — from low-level protocol integration through to distributed execution services and trader-facing tooling. What You’ll Be Doing • Design and build core components of a modern EMS/OMS platform, including order routing, order lifecycle management, venue connectivity, and execution analytics., • Implement and maintain FIX protocol and venue-specific integrations across exchanges, brokers, and liquidity providers in commodities markets., • Develop low-latency, distributed execution services with a strong focus on correctness, resilience, and performance under load., • Collaborate closely with traders, quants, and risk engineers to translate trading workflows and execution strategies into robust production systems., • Ensure seamless integration with risk systems, including pre-trade checks, position tracking, and post-trade processing. Requirements Essential • Proven experience building execution systems and/or order management systems in production., • Strong systems engineering fundamentals, including concurrency, distributed systems, networking, performance, and correctness under pressure., • Production experience in at least one of C++, Rust, or Python, with willingness to work across multiple languages., • Demonstrated ability to deliver production systems with a strong bias towards shipping, iteration, and user feedback., • Comfortable working in a collaborative environment with direct engagement between engineers, traders, and quants., • Experience working in cloud-native environments, particularly Kubernetes-based architectures., • Familiarity with distributed data and event-driven systems (e.g. Kafka-style messaging patterns)., • Experience with observability, monitoring, testing, and production incident response in live systems. Highly Desirable • Experience in commodities markets (energy, metals, agriculture, freight) or other complex, multi-venue asset classes., • Deep understanding of the FIX protocol, including session handling, message customisation, and venue-specific behaviour., • Experience with algorithmic trading systems, smart order routing, or execution algorithm development., • Exposure to real-time risk systems, including pre-trade controls and position/PnL infrastructure., • Experience with columnar databases such as ClickHouse.

Senior Software Engineer (TypeScript / Python, FinTech, AI) London (Hybrid) £95,000 The Opportunity Join a high-growth, regulated fintech building next-generation infrastructure at the intersection of traditional finance and digital assets. The platform enables institutional clients to trade, tokenise, and manage real-world financial assets on blockchain rails, covering the full lifecycle from issuance through to trading and custody. This is a chance to work on complex, high-performance systems used by banks, asset managers, and financial institutions globally. The Role You’ll be part of a high-calibre engineering team building scalable, secure systems that power a modern financial marketplace. Responsibilities include: • Designing and building low-latency, high-throughput backend services, • Developing APIs and services using TypeScript and/or Python, • Working on systems supporting trading, custody, and asset tokenisation, • Contributing to AI-driven features, such as automation, analytics, or intelligent workflows, • Collaborating with product, quant, and infrastructure teams, • Ensuring systems meet regulatory, security, and reliability standards expected in financial services What They’re Looking For • Strong experience with TypeScript and/or Python, • Background in financial services, fintech, or capital markets, • Experience building distributed systems or high-performance platforms, • Exposure to AI / machine learning applications (production or applied), • Solid understanding of APIs, cloud infrastructure, and system design, • Bonus: experience with trading systems, digital assets, or blockchain Tech Environment • TypeScript, Python, • Cloud-native architecture, • API-first systems, • Real-time data and trading infrastructure, • AI / data-driven components Why Join • Work on cutting-edge financial infrastructure bridging traditional finance and blockchain, • Be part of a regulated, institutional-grade platform in a rapidly evolving market, • Exposure to tokenisation, digital securities, and next-gen financial systems, • High ownership, fast-moving environment with strong technical challenges

The Role We are helping to hire a Senior Software Engineer for an exciting AI startup. This is a core platform role with real ownership. You will work on data integrations, platform execution, and the systems that power AI-driven analytics. What You Will Be Doing • Building core data integrations with common SaaS platforms, • Designing data pipelines that ingest provider APIs into our analytics datastore, • Improving the agent platform and executor with better error handling, observability, and speed, • Making LLM interactions more efficient through prompts, snippets, and tooling, • Improving internal developer experience and platform tooling, • Helping take an early MVP into a production-grade platform Why Join • Early, high-impact role in an AI-native company, • Direct influence on platform architecture and technical direction, • Opportunity to work with an experienced founding team, • Build technology that fundamentally changes how teams use data What We Are Looking For • Strong experience building in Python, • Deep understanding of design patterns and system architecture, • Experience building scalable, performant platforms, • Strong grasp of event-driven systems and concurrency, • Solid database and API design experience, ideally with Postgres, • Understanding of good security practices, • Ability to clearly communicate technical trade-offs, • Familiarity with the modern AI tooling landscape, • Some cloud infrastructure experience including Terraform Nice to Have • Zero-to-one product experience, including OSS or side projects, • Data engineering experience such as pipelines and analytics, • Experience integrating LLMs, including prompt design and understanding model capabilities, • Deeper cloud experience, especially with GCP, • Experience with Encore, though this is easy to pick up Ways of Working • Ownership mindset with comfort taking ideas from rough outline to implementation, • Execution first approach where speed matters, balanced with pragmatism, • Iterative development focused on shipping, learning, and improving, • First-principles thinking rather than cargo-cult engineering, • Ego-less culture with direct, constructive feedback, • Comfort working asynchronously and learning independently, • AI-native approach using tools like Cursor or Claude Code to move faster

Senior Mission Critical Electrical Lead - Associate Director An international engineering and consultancy organisation delivers integrated mission-critical solutions that help clients plan, design, commission and operate high-performance data centre and AI facilities. The business combines deep electrical engineering expertise with digital delivery and multidisciplinary collaboration to achieve efficient, resilient and sustainable outcomes. This role leads electrical engineering excellence across a mission-critical portfolio—setting best practice, assuring resilient power strategies, and contributing to forward-looking technical initiatives covering AI facilities, grid resilience, modern methods of construction, digital delivery, commissioning and power efficiency. This is a collaborative leadership role working across multiple disciplines and stakeholders. Key Responsibilities • Build trusted relationships with client electrical and operations teams; represent the business at industry forums and key stakeholder engagements; provide clear technical, commercial and market insights through concise reporting., • Identify, shape and support new opportunities and bids using outcome-focused electrical strategies; monitor emerging trends including AI power densities, liquid cooling, grid constraints, energy storage, alternative fuels and resilience analytics., • Define and maintain electrical design standards, guidance and templates; ensure compliance with UK, Irish and international regulations; promote continuous improvement, CPD and lessons learned., • Act as a senior technical point of contact for mission-critical electrical engineering support, mentoring engineers and developing long-term capability., • Lead assurance of grid connections, utility interfaces, HV/LV architectures, redundancy strategies (N, N+1, 2N, 2N+1), UPS systems, energy storage, power quality, generation, fuel strategies, earthing, lightning protection and protection coordination., • Lead BIM-enabled electrical delivery by defining modelling strategies and information requirements; coordinate and review digital models; manage clash detection and issue workflows through a common data environment., • Collaborate with mechanical, ICT, controls, fire, structural and other disciplines to deliver coordinated, construction-ready designs; lead integrated reviews to resolve interface risks early., • Embed sustainability and performance objectives into electrical design, defining and tracking metrics such as PUE contribution, losses and standby efficiency; support grid-aware design, renewables, storage and demand-side response., • Manage electrical scope, budget, programme, risk and change; oversee resources and maintain relationships with key supply chain partners, OEMs and utility providers., • Define commissioning philosophies, integrated test plans and energisation strategies; ensure alignment of design intent and operational requirements to de-risk handover and accelerate operational readiness. About You • Degree qualified in Electrical Engineering or a related discipline., • Chartered Engineer status preferred., • Extensive experience delivering electrical systems for mission-critical or data centre projects., • Experience working on large, complex programmes advantageous., • Strong understanding of data centre electrical systems, resilient power strategies, IT load integration and multidisciplinary coordination., • Proficient in BIM and digital delivery environments, including model coordination and common data environment workflows., • Experienced in defining power strategies, managing grid interfaces and delivering efficient, resilient outcomes aligned with energy performance objectives., • Commercially aware with strengths in budget control, forecasting, resource planning and change management., • Strong leadership and communication skills, with experience presenting at senior stakeholder and industry forums., • Passionate about mentoring and applying innovation in digital engineering, AI-enabled power management, modern methods of construction and commissioning analytics.

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

Hybrid – London | Global FinTech Innovator Our client is an established yet fast-growing FinTech specialising in high-performance market data analytics. Their platform ingests and processes terabytes of global trading data daily, powering decision-making for leading investment firms, exchanges, and research institutions. They’re now seeking a Market Data Engineering Lead to take ownership of their equities data pipelines and infrastructure, helping scale the next generation of data-processing systems within a collaborative engineering leadership team. This role offers a 50/50 split between hands-on coding and technical leadership — ideal for someone who thrives on solving deep engineering challenges while guiding a small team to deliver best-in-class data solutions. The Role • Lead development for the firm’s equities data processing platform, working alongside other engineering leads and a senior architect., • Plan and execute two-week Agile sprints, define priorities, and manage workloads across developers., • Take full ownership of project lifecycles — from requirements gathering to design, implementation, testing, and deployment., • Develop and refine C++ market-data parsers and processing engines that handle high-frequency and reference data at scale., • Partner with product and operations stakeholders to define technical roadmaps and onboard new data sources., • Enhance system performance, fault-tolerance, and scalability, leveraging modern AWS-based distributed infrastructure., • Offer technical mentorship, conduct reviews, and help engineers overcome blockers., • Participate in a light-touch support rotation to ensure smooth daily operation of the firm’s data feeds. About You • Proven track record leading or mentoring software engineers within an Agile environment., • Strong C++ development experience on Linux, delivering robust, performant systems into production., • Solid Python capability for orchestration, data tooling, and process automation., • Experience with large-scale financial or market data, particularly equities or other exchange-traded products., • Familiarity with modern engineering practices — CI/CD, source control, automated testing, and containerised deployment., • Excellent communication, organisational, and problem-solving skills. Contact: For further details or a confidential discussion about this opportunity, please reach out to Ciara Clarke at Harrington Starr

Quiet Mark - Technical Executive Who We Are Quiet Mark stands at the intersection of science and well-being, leading a global initiative, towards a quieter, healthier world. We are more than just a certification programme; we are a movement devoted to transforming everyday environments into spaces of peace and comfort through quieter appliances, technologies and solutions to unwanted noise. Recognised worldwide, we are committed to empowering consumers and industries with the knowledge and resources needed to reduce noise pollution. Our dynamic, dedicated team finds motivation in the pursuit of a more peaceful, harmonious world, and we thrive on innovative thinking and collaboration. Quiet Mark is the next generation certification programme and closely associated commercial support to the Noise Abatement Society charity. Established in 1959 the NoiseAbatement Society (NAS) is the only charity NGO in the UK, indeed the world, that specialises in every aspect of sound - how it affects us and how the sounds that we make affect others, with a shared singular remit to solve noise pollution worldwide. As the business expands rapidly we are seeking individuals who share our commitment to this mission. In joining us, you’ll be part of a dynamic purpose-led organisation, re-establishing the value of quiet in our everyday lives to shape a better future for all. Who You Are You are a motivated and detail-focused individual with a strong interest in technical processes, product testing, analytics and data-driven work. You are eager to learn quickly and develop your understanding of testing, certification, and product qualification within a fast-paced and growing business. You are naturally proactive, adaptable, and dependable, with the ability to balance teamwork and independent working. You take pride in accuracy and organisation, and you are confident working with data, spreadsheets, and structured systems to support technical operations. You enjoy collaboration and building positive working relationships, while also being comfortable taking ownership of tasks and seeing them through with minimal supervision. You are curious, hands-on, and flexible, willing to get involved in a wide range of duties as the role evolves. As part of a growing international organisation, you are excited by the opportunity to work with global manufacturers across multiple sectors and markets, contributing daily to a busy UK HQ team where no two days are the same. The Role Product Testing & Certification Support • Assist with the testing and qualification of appliances, technologies, and products for Quiet Mark certification, • Support the Technical Manager in reviewing products against certification criteria and technical requirements, • Contribute to the end-to-end certification process, ensuring accurate documentation and tracking of product status Testing Coordination & Logistics • Arrange and coordinate test days at QM with overseas testing partners and external laboratories, • Manage scheduling, preparation, and logistical coordination for Quiet Mark HQ and product testing activities, • Oversee the receipt of incoming test samples and ensure correct handling, storage, and tracking, • Organise the return of tested products to manufacturers in a timely and efficient manner Data, Systems & Category Management • Maintain and regularly update large-scale databases covering hundreds of product categories, including home technologies and building sector classifications, • Ensure category data is reviewed and updated on a weekly basis to reflect the most current information, • Work closely with internal teams to ensure consistency and accuracy across all product records and systems, • Support the licensing team in updating product information within internal databases and data management systems, • Provide regular updates and reports to team members on category changes, product status, and database developments Technical & Building Sector Support • Assist in processing building sector acoustic assessments in collaboration with the Technical Manager and/or Certification and Building Sector Managers, • Support the interpretation and organisation of technical assessment data for building-related product categories, • Help ensure alignment between building sector evaluations and Quiet Mark certification standards Internal & External Communication • Support the Technical Manager with responses to public and technical enquiries, ensuring accurate and timely information is provided, • Assist in maintaining clear communication between internal teams, external laboratories, manufacturers, and stakeholders, • Ensure all relevant parties are kept informed of testing progress, outcomes, and product status updates Key Skills & Qualifications • Good general level of education. Maths, science and technical degree being a bonus, • Fully competent in MS Excel and other basic software, • Ideally experienced in corporate technology or acoustics sector or similar, • Preference would be given to individuals with technical experience as a technical assistant and interest in acoustics, science, products, technology is preferable, • Demonstrable ability to learn quickly, absorb new skills, and keen to train in an exciting new field of expertise, • Excellent time management skills and attention to detail, • Experience of fast paced work environment and meeting deadlines, • Can follow instructions and procedures accurately, with positivity and in a timely, professional and efficient manner Perks • Salary: - £25,000 - £28,000 according to experience, • Contributory Pension, • Holidays: 25 Days plus Bank Holidays, • Location: This role is primarily remote and home based, however we require the candidate to live within a comfortable regular commutable distance of the ‘Quiet House’ U.K. HQ labs based in Hassocks, West Sussex

Ad Tech Solutions Architect - TV Advertising/CTV AdTech SaaS £65000 - £75000 per annum + bonus + bens London Hybrid working (2 days London PW) Permanent The AdTech Solution Architect Role is working for a fast-growing AdTech SaaS business focused on the TV and CTV industry. Due to accelerated global growth and a greater volume of TV client deployments across Europe our client is seeking an experienced and driven Solution Architect with previous relevant Ad Tech experience gained within the TV/CTV sector. Joining a small team of Solution architects you will help specific client delivery customizations, enabling broadcasters, Cable Operators and TV media owners with integrated Advertising solutions. This role is based in London HQ office with flexible hybrid working. Experience required • Previous solutions architect, pre-sales solution architect or technical consultant with relevant experience gained within TV AD Tech Industry, • 5+ years in the Ad Tech, SaaS, Big data, TV Media industry is a requirement., • Deep technical understanding of the technical architecture of complex and highly scalable software and/or cloud-based products., • Awareness and understanding of commonly used technologies for data storage/analytics., • Entrepreneurial drive to get things done and deliver in the best way, • Thrive in a fast paced, demanding environment., • Be able to understand and analyze complex raw datasets and work in tandem with, • engineering and product teams., • Ability to drive both strategic decisions and operational tasks, • Performance driven mindset with a strong motivation to lead professionally, • Ability to work and communicate in a fast paced international environment, • Masters or Bachelor degree, preferably in STEM, computer science or related fields. Role Responsibilities • Act as a bridge between client facing and technical teams, ensuring transparent communication across all aspects of technical delivery., • Author detailed specifications translating the business needs of TV clients into technical requirements to be actioned by operational engineering teams., • Act as a key interface for technical communication for clients, liaising with client technical teams where necessary to ensure smooth project delivery., • Support sales processes in technical pre-sales actions including data assessments and providing technical input in early stage project scoping., • Develop a deep technical understanding of the product stack, and how it can be leveraged against a TV Media owner’s data to fulfil their business objectives What we offer Competitive Salary and benefits flexibility and agility, Our global teams provide a fantastic collaborative atmosphere, and we support each other with a great learning environment for personal development at every level. About the client Join smart, passionate and creative people that help transform the world of TV by enabling broadcasters, Cable Operators and TV media owners with leading TV Advertising solutions. Solutions that empower TV media companies to execute effective TV strategies by enabling advanced campaign delivery, maximizing yield, and boosting operational efficiency through workflow data enrichment and automation. At the core product spans linear and digital inventory and enables data unification, holistic audience forecasting, planning, in-flight optimization, and unified reporting capabilities that integrates seamlessly with a client’s existing tech stack – including linear trafficking systems, digital ad servers, and other data-driven tools – creating a connected, smarter and more efficient ecosystem built for the future of TV. Together with our diverse global team with offices across London, Zagreb and New York, we’re passionate and driven by our ambitious growth and opportunity - moving into new markets and delivering innovative SaaS technology to our clients.

BI Developer Trustmarque | Remote (UK) | Full-time Are you passionate about turning data into meaningful insights that drive real business decisions? At Trustmarque, we’re looking for a talented BI Developer to join our growing data team and play a pivotal role in shaping how data is transformed, modelled, and consumed across the organisation. This is a fully remote role where you’ll sit at the intersection of data engineering and business intelligence, acting as the vital link between technical data pipelines and impactful business reporting. About the Role As a BI Developer, you’ll work closely with Data Engineers and Data Analysts to transform raw data into clean, structured, and analytics-ready datasets. You’ll design and maintain transformation pipelines, build robust semantic models, and deliver high-quality Power BI dashboards and reports that empower stakeholders to make confident, data-driven decisions. What You’ll Be Doing • Act as the key bridge between Data Engineering and Data Analyst teams, ensuring data is structured, documented, and ready for reporting, • Design and build scalable transformation pipelines within Microsoft Fabric, • Develop reusable, well-documented semantic data models optimised for Power BI, • Create and maintain engaging, interactive Power BI reports and dashboards, • Apply advanced techniques including DAX, Power Query, and row-level security, • Support and optimise data pipelines, transforming manual processes into automated, scalable solutions, • Collaborate with stakeholders to translate business requirements into data-driven solutions, • Implement data quality checks, validation rules, and monitoring processes, • Uphold data governance best practices across the BI layer, • Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations), • Conduct data audits to improve quality, security, and governance, • Maintain clear documentation of data flows, lineage, and transformations, • Strong hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, OneLake), • Advanced Power BI skills (report design, DAX, Power Query, dataset management, governance), • Solid understanding of data modelling principles, including star schema design, • Strong SQL skills with a focus on performance optimisation, • Experience with ETL/ELT processes and data transformation workflows, • Knowledge of data warehousing concepts and architectures, • Understanding of data governance, including quality, security, and compliance, • Excellent problem-solving skills with the ability to analyse complex datasets, • High attention to detail and commitment to data accuracy, • Strong communication skills with the ability to work across technical and non-technical teams At Trustmarque, you’ll be part of a collaborative and forward-thinking environment where data is at the heart of decision-making. You’ll have the opportunity to work with modern technologies, influence data strategy, and deliver solutions that make a real impact.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

Cyber Security Engineer - AI-Augmented Embankment, Greater London, South East, England £75000 - £90000 per annum, Benefits: Generous benefits and discretionary annual bonus We are seeking an experienced Cyber Security Engineer to join a growing security function within a confidential technology-focused organisation. This role is designed for an engineer who thrives at the intersection of cyber security, data, and emerging AI technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support. The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering, and autonomous or semi-autonomous security workflows. You will help shape how AI is used to improve security visibility, accelerate investigation, and continuously adapt to evolving threats. Working across multiple teams, you will be responsible for building scalable, intelligent, and adaptive security systems that evolve alongside both cyber threats and AI-enabled attack techniques. Core Skills • Strong foundation in modern cyber security engineering and detection engineering principles., • Experience with security monitoring platforms, SIEM systems, and alerting/detection pipelines., • Strong understanding of identity and access management, endpoint security, logging, network security, and vulnerability management., • Knowledge of security architecture principles and secure-by-design methodologies., • Experience building automation and security workflows using Python, PowerShell, or similar tooling., • Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics., • Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation., • Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods., • Familiarity with security frameworks and standards such as NIST, CIS, ISO 27001, and GDPR., • Strong analytical thinking with a structured, risk-based approach., • Excellent communication skills with the ability to translate technical and AI-driven insights into actionable decisions. Responsibilities • Design, implement, and continuously improve AI-enhanced security controls across enterprise environments., • Design, implement, and continuously improve detection engineering pipelines, leveraging both traditional and AI-assisted approaches., • Build and evolve intelligent monitoring systems that combine rule-based detection with behavioural and AI-driven analytics., • Develop automation and AI-assisted workflows to improve alert triage, investigation speed, and operational efficiency., • Work closely with engineering and security teams to integrate AI-enabled security capabilities into operational processes., • Support incident investigations using advanced analytics, AI-assisted tooling, and structured threat analysis techniques., • Conduct threat modelling and security architecture reviews with a focus on emerging AI-enabled risks and system complexity., • Identify vulnerabilities and continuously improve remediation strategies using data-driven insights., • Evaluate emerging cyber threats, including AI-generated attacks, autonomous malware, and adversarial machine learning techniques., • Research, prototype, and implement AI-driven security capabilities to improve detection, response, and resilience., • Design and maintain security standards, engineering patterns, and documentation for AI-enabled security systems., • Support compliance and governance activities through automated evidence generation and control monitoring., • Contribute to the long-term strategy for AI-driven security transformation and intelligent security operations. Experience & Qualifications • Minimum 5 years of experience in cyber security engineering, detection engineering, security operations, or related technical security disciplines., • Proven experience designing, implementing, and continuously improving security controls in complex environments., • Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience., • Familiarity with AI/ML concepts applied to security use cases is highly desirable., • Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred., • Relevant certifications are beneficial, such as CISSP, CCSP, GSEC, GIAC certifications, Security , or equivalent., • Experience in regulated or high-assurance environments is advantageous., • Demonstrated curiosity and interest in AI, intelligent automation, and next-generation security technologies. The Team The Cyber Security team is responsible for protecting systems, digital assets, users, and data while enabling the organisation to operate securely at scale and speed. The team focuses on designing, implementing, and continuously improving intelligent security capabilities that integrate automation and AI to enhance visibility, detection quality, and response efficiency. Security is treated as an important and evolving system—continuously evolving through data, automation, and AI-assisted decision-making—rather than a static set of controls. We are a collaborative and forward-thinking organisation that values technical excellence, curiosity, and innovation. We believe the strongest security outcomes are achieved by combining human expertise with intelligent systems, automation, and AI-driven insights. What you'll be doing • Designing and implementing AI-enhanced security and detection capabilities, • Continuously improving detection quality through data, automation, and machine intelligence, • Reducing manual effort through intelligent workflows and AI-assisted operations, • Strengthening visibility across complex environments using modern analytics approaches, • Building a security function that evolves alongside emerging AI-driven threats and technologies Interested? Please apply now! Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

WARNING: for this role candidates who require company support to legally live and work in the UK cannot be considered. Must be eligible for Baseline Personnel Security Standard (BPSS) Are you passionate about driving digital transformation and delivering impactful ServiceNow solutions? We’re looking for a ServiceNow Sales Lead / Senior Consultant to join our growing Digital Customer Experience team. This is a fantastic opportunity to combine sales, consulting, and technical expertise to shape innovative solutions for leading organisations. 🔹 What You’ll Be Doing • Drive sales and business development for ServiceNow solutions, identifying and converting new opportunities, • Lead the end-to-end sales process, from pre-sales through to contract negotiation and signing, • Collaborate with cross-functional teams to design and present tailored ServiceNow solutions, • Build strong relationships with C-level executives and senior stakeholders, • Act as a trusted advisor, aligning client needs with innovative, value-driven solutions, • Stay ahead of market trends to help shape Capgemini’s ServiceNow strategy and offerings, • Partner with ServiceNow leadership and ecosystem partners to strengthen collaboration 🔹 What We’re Looking For ✅ ServiceNow Expertise Strong knowledge of the ServiceNow platform, including: • ITSM, ITOM, CSM, • Experience with HRSD applications is essential, • Employee Service Centre, • Case & Knowledge Management, • Performance Analytics ✅ Business & Industry Knowledge • Understanding of employee experience and HR processes, • Experience in customer experience (CX) transformation ✅ Technical & Solution Skills • Integration, data migration, and platform customisation, • Workflow automation and scripting, • Ability to translate business requirements into scalable solutions ✅ Consulting & Sales Capability • Experience supporting or leading pre-sales, demos, and proposals, • Strong problem-solving and analytical thinking, • Ability to articulate technical solutions to non-technical stakeholders ✅ Stakeholder & Change Management • Confidence engaging with senior executives and cross-functional teams, • Experience driving adoption and managing organisational change Permanent (B2B contract is not available) UK-wide role (open to travel within the UK if requested only) There will be 2 stages hiring process Salary: up to £100,000 Gross/a DOE Apply here if you would like to join a professional community of experts, who have got your back and will support you, every step of the way.

About the role We are seeking a Python Developer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a Python Developer, you'll work across the entire technology stack from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Experience • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Senior Python Quant Developer London (Hybrid) The company A growing fintech business building advanced analytics and execution technology for institutional clients across the derivatives space. Their platform is used by leading hedge funds and asset managers to support relative value, volatility, and macro trading strategies. The environment combines strong engineering standards with close interaction between trading, research, and technology teams. The role This is a senior engineering technology role focused on the core analytics platform that underpins pricing, screening, and execution workflows. You’ll play a key part in designing and evolving production systems used by traders, quants, and portfolio managers, with ownership across reliability, scalability, and performance. The role would suit someone with strong platform engineering instincts who enjoys building robust systems in fast-moving trading environments. Direct derivatives knowledge is helpful, but strong engineering capability is the bigger priority. What you will do • Design and build core platform components including pricing services, APIs, and data pipelines, • Develop scalable ingestion and processing systems for market, macro, and time-series data, • Build internal tooling that improves how analytics and trading signals are developed, tested, and deployed, • Own the full software lifecycle across design, coding, testing, monitoring, and continuous improvement, • Create performant screening and trade discovery tools, • Work closely with traders and quants to turn analytical requirements into production systems, • Improve observability, deployment processes, and developer experience across the platform What you will need • Strong software engineering fundamentals across architecture, design, and quality practices, • 5+ years’ experience in platform engineering, quant development, data engineering, or software engineering within financial services, • Strong Python experience in production environments, • Exposure to C++ or Rust would be beneficial for performance-sensitive components, • Experience building data infrastructure such as APIs, pipelines, and time-series systems, • Good understanding of financial markets, ideally rates or derivatives, • Strong communication skills and ability to work across engineering, research, and trading stakeholders Why consider it • High-impact role working directly on trading-critical systems, • Strong blend of engineering depth and business exposure, • Close collaboration with quants, traders, and portfolio managers, • Opportunity to shape a growing platform in a high-performing fintech environment Contact Ciara Clarke at Harrington Starr with your CV for a confidential discussion.

Data Engineers — Contract Multiple roles · Mid-level & Senior · Hybrid (UK) 📌 Rate: £450–£600 per day (Inside IR35, dependent on experience) 📌 Duration: 6-month SOW initially; longer-term programme (2–3 years overall) 📌 Location: Remote (UK-based) — occasional travel to the Midlands (up to 2 days/month) 📌 Clearance: SC eligible required (UK residency) Hanover are building two data engineering teams to support a large-scale, long-running programme within Central Government. This role centres around designing and building data pipelines in a modern cloud environment, embedded within multi-disciplinary Agile teams. There are both mid-level, senior and lead positions available, so we're open to a range of experience levels. What you'll be doing – Designing, building and maintaining scalable ETL/ELT data pipelines – Working with structured data sources to support analytics and downstream services – Collaborating within Agile delivery teams alongside engineers of mixed seniority – Improving data quality, performance and reliability – Contributing to knowledge sharing and good engineering practice across teams What we're looking for – Strong background as a Data Engineer in complex, delivery-led environments – Solid ETL/ELT experience — Talend is highly desirable – Experience with one or more of: AWS, Oracle, PL/SQL, PostgreSQL – Strong SQL and data modelling fundamentals – Comfortable working in Agile teams with real delivery pressure Nice to have – Central or wider public sector experience – Exposure to large-scale or regulated data environments

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Job Title: Technical Lead – Contact Center (AWS Connect, python, Lamda, Terraform) Location: London, (Hybrid - 2 /3 days per week onsite) Duration: 12 months Pay Rate: £ 749/day (PAYE through FCSA Umbrella) Detailed Job Description: • Provide technical leadership and mentorship to a team of engineers working on Client Connect and AWS solutions., • Collaborate with cross-functional teams, including architects, product managers, and developers, to define system requirements and design solutions., • Design, implement, and optimize Client Connect contact centre solutions, including integrations with CRM systems and third-party tools., • Utilize AWS services (e.g., Lambda, DynamoDB, API Gateway, CloudWatch, S3, IAM) to build scalable and resilient architectures., • Enhance customer experience by implementing features like IVR, Chatbots, Call Routing, and Analytics on Client Connect., • Develop and maintain Infrastructure as Code (IaC) using Terraform to automate the provisioning of AWS resources., • Implement CI/CD pipelines using GitHub Actions or other tools to ensure smooth deployment and integration processes., • Write clean, maintainable, and efficient code in Python to support automation, data processing, and backend development., • Act as a point of contact for escalations and critical technical challenges If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

Job Opportunity: Test Lead – Data Platform Location: London (Hybrid, 2 days onsite) Employment: Contract Role (Outside IR35 considered) Duration: 6 months Start Date: ASAP We are seeking an experienced Test Lead to oversee quality assurance for a large-scale enterprise data platform. This role involves defining testing strategy, managing offshore teams, and ensuring delivery of audit-ready, high-quality data solutions. About the Project: A strategic cloud-native data platform enabling governed ingestion, transformation, and analytics to support business insights, reporting, and regulatory compliance. Key Responsibilities • Define and execute QA strategy across data pipelines and platform components., • Lead SIT, regression, and release readiness testing across ingestion, transformation, and consumption layers., • Govern test processes, quality gates, and traceability using Agile practices., • Manage defect triage and collaborate with engineering teams for resolution., • Oversee data validation (source-to-target checks, schema validation, business rules)., • Provide clear reporting on test progress, risks, and readiness to senior stakeholders., • Ensure compliance with audit requirements and drive continuous improvement. Required Skills • Strong background in data testing, ETL validation, and data migration., • Hands-on expertise with cloud-based data platforms (Azure Data Factory, Databricks, Delta Lake)., • Advanced SQL skills for complex query validation., • Experience with Agile/DevOps delivery models and JIRA test management., • Familiarity with automation frameworks (SQL/PySpark preferred)., • Knowledge of CI/CD and release management processes., • Experience with Power BI, Alteryx, and VS Code, particularly in testing integrations with Databricks and validating related user experience. Qualification BE / BTech or equivalent qualification. Testing or project management certification is desirable. What is expected from you? - • Strong leadership and stakeholder management skills., • Analytical, detail-oriented, and delivery-focused., • Comfortable working in multi-vendor environments.

Software Engineer (.NET) - Sports Betting🥎🏐🏈🎾 💰 £65,000 - £85,000 + benefits 📍 3 days per week in Central London office (Hybrid) Join a global leader in sports data & technology, powering immersive, real-time experiences for millions of fans worldwide. This is a business at the forefront of innovation within sports betting, analytics and data-driven decision-making. They are in search of a Junior/Mid .NET Software Engineer to contribute significantly to their cutting-edge multithreading project, handling millions of real-time threads per second. This presents an exceptional opportunity to participate in the development of pioneering technologies within the sports betting domain. Responsibilities as the C# Software Engineer: • Build and scale real-time, distributed systems, • Contribute to architecture, design & delivery of core products, • Ship high-quality code using CI/CD & modern engineering practices, • Collaborate in a data-driven, experimentation-led environment, • Continuously improve systems with a focus on performance, scalability & reliability, • Engage in the development of challenging and profoundly complex smart algorithms. You'll be a great fit for this opportunity if you have: • A Computer Science or Mathematics (or equivalent) degree from a Top Russell Group university., • Some commercial C# project experience and strong understanding of software design principles, • Passionate about working in complex real-time environments building highly-scalable systems., • Effective communication and collaboration skills to work alongside Data Scientists, DevOps, QA and Product colleagues Please note: This is a hybrid position based in London 3x p/week. Unfortunately, sponsorship is not available at this time. Apply now for immediate consideration regarding this Junior Software Engineer C# opportunity!✅⚽⚾🏈⛳

🐍 Python Engineer 📍 London (Hybrid) 💷 Up to £180,000 + Bonus + Full Benefits 🚀 The Opportunity Join a leading global hedge fund where technology sits at the core of trading strategy and performance. As a Python Engineer, you’ll work directly with Portfolio Managers, Quants, and Analysts to build high-performance tools and platforms that power real-time investment decisions and directly impact P&L. This is a hands-on, front-office role with immediate visibility and influence. 🔧 What You’ll Do • Design, build, and maintain Python-based trading and research infrastructure, • Develop bespoke analytics and visualisation tools in close partnership with investment teams, • Optimise data pipelines, automate complex workflows, and enhance system efficiency 🌟 Why This Role Stands Out 💼 Front-Office Exposure – Work side-by-side with PMs and Quants on live strategies ⚡ High Impact – Build systems that directly influence trading performance 🤝 Agile, Elite Team – Collaborative, low-ego, high-calibre environment 💰 Top-Tier Compensation – Strong base, performance-driven bonuses, and clear progression ✅ What You Bring 🎓 Degree in Computer Science, Engineering, Mathematics, or a related field 💻 Strong Python experience in high-performance or data-intensive environments 📊 Understanding of financial markets (equities, fixed income, or derivatives is a plus) 🧠 Excellent problem-solving skills with the ability to communicate across technical and non-technical teams If you’re a Python Developer looking to take on a front-office role with direct impact, we’d love to hear from you. Apply now or reach out directly:

Company Description Innovo Data LLP is a modern data analytics and AI consulting firm committed to helping organizations derive measurable business value from their data. Partnering with mid-market and enterprise businesses, Innovo Data designs scalable data platforms, implements advanced analytics solutions, and drives data-driven decision-making. With expertise in data strategy, cloud platforms, machine learning, and AI-driven automation, the company focuses on delivering outcomes that matter, not just dashboards. Guided by a commitment to data integrity, responsible AI, and long-term partnerships, Innovo Data creates strategic advantages for its clients. Role Description This is a full-time remote role for a Data Science Specialist. The role involves applying data science principles to analyze and extract insights, developing and implementing data models, and building predictive analytics solutions. The specialist will collaborate with cross-functional teams to address business challenges, utilize statistical techniques, and provide actionable recommendations. Additionally, responsibilities include supporting data governance initiatives and communicating insights through reports and visualizations. Qualifications • Proficiency in Data Science and Data Analytics, • Strong skills in Data Analysis and Statistics, • Excellent Analytical Skills for solving complex problems, • Familiarity with machine learning frameworks, programming languages (e.g., Python, R), and relevant tools, • Effective communication skills to present data insights clearly, • Ability to work independently and remotely with a results-oriented mindset, • Experience in deploying machine learning models in production is a plus, • Bachelor's or advanced degree in Data Science, Statistics, Computer Science, or related field

Do you want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ownership than a typical delivery-focused DS role. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance. Key Responsibilities • Build and optimise predictive models including propensity and scoring models, • Prototype new analytical products using Databricks notebooks, • Define product-level features, scoring logic and model outputs, • Conduct data discovery and exploratory analysis across large customer datasets, • Work closely with Product Managers and Analysts to shape new product capability, • Present insights and model outputs to internal and external stakeholders, • Evaluate emerging AI and machine learning techniques for product innovation Key Details • Salary: Up to £65,000, • Location: Hybrid (minimum 2 days in London), • Tech stack: Python, SQL, Databricks, Azure, • Sponsorship: Cannot sponsor Interested? Please apply below.