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About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Mirantis is inviting an experienced and client-focused Senior Solution Architect to join our dynamic client-facing technical team. You will develop trusted advisor relationships with prospects and customers by educating, presenting, demonstrating, and conducting POCs of Mirantis’ AI Infrastructure platform. This role offers the opportunity to work on ambitious, cutting-edge technology within the fast-evolving AI and cloud-native ecosystems. Responsibilities Partner with sales to support enterprise opportunities, and help customers understand the value of Mirantis’ industry-leading AI and Kubernetes-based solutions. Lead technical discovery sessions, demos, and proof-of-concept engagements with customers and partners. Translate customer requirements into solution architectures leveraging Mirantis’ products and best practices. Deliver engaging technical presentations and live demonstrations that showcase Mirantis’ platform capabilities, business value, and open-source innovation. Provide field feedback to influence product direction and go-to-market strategy. Serve as a trusted technical advisor – building and maintaining long-term relationships with client stakeholders while representing their needs within Mirantis. Represent Mirantis at industry events, conferences, and community meetups by delivering technical sessions, demonstrations, and thought leadership content. Qualifications 5+ years’ experience in a pre-sales, solutions architecture, or technical consulting role for cloud-native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging, and alerting systems Strong understanding of the competitive landscape within the cloud infrastructure and open-source ecosystem. Track record of delivering outcomes for Fortune 500 clients and influencing senior IT/engineering leaders (CIO, CTO). Exceptional written, verbal, and presentation skills with the ability to communicate complex ideas clearly to technical and business audiences. Ability to travel to customer sites and events as needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating in global, remote, and hybrid environments, with a demonstrated ability to manage complex projects across multiple teams and stakeholders. Soft Skills and Team Fit Proven problem-solving, consultative, and relationship-building skills. Entrepreneurial drive with a passion for learning and continuous improvement. High integrity, transparency, and a collaborative mindset. Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Professional development and training;, • Attend conferences and working groups;, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices t

Description Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo We are looking for a Senior Engineer to establish and lead our new Developer Experience team. This team’s mission is to improve engineering productivity, consistency, and satisfaction by building and maintaining the systems, processes, and tooling that underpin our Software Development Lifecycle (SDLC). You will shape how our engineers build, test, release, and monitor software, ensuring frictionless workflows while keeping ownership of business logic, test quality, and development practices firmly with the product engineering teams. This is a hands-on role with significant influence: you will design systems, implement tooling, measure productivity gaps, and drive adoption of better practices across the engineering organisation. Requirements • CI/CD Infrastructure & Tooling, • Own and operate CI/CD systems (GitHub Actions, runners, caching, artifact storage)., • Maintain stability, scalability, and cost-effectiveness of pipelines., • Build and maintain systems for our monorepo., • Ensure CI/CD observability, with metrics flowing into Datadog/Slack., • Pipeline Instrumentation & Optimisation, • Analyse pipelines for inefficiencies (e.g., flaky tests, redundant steps, lack of caching)., • Recommend and implement optimisations (parallelisation, test selection, caching strategies)., • Define benchmarks and KPIs (e.g., build times, flakiness %, cost per run)., • Measure and report on productivity gaps (e.g., time lost to flaky tests, slow builds, manual release steps)., • Onboarding & Documentation, • Maintain up-to-date documentation on SDLC processes, CI/CD, release flows, and GitHub usage., • Provide templates, playbooks, and starter kits., • Automate repetitive onboarding processes., • GitHub & SDLC Guardrails, • Own GitHub governance (branch protections, repo standards, integrations)., • Implement base SDLC guardrails (PR templates, code owners, security scans)., • Ensure compliance requirements are integrated into pipelines., • Monitoring & Incident Flow, • Set up alerts for pipeline health regressions., • Provide first-level triage to distinguish infra vs. test vs. dependency issues., • Escalate to the correct engineering team and ensure test ownership is tracked., • Release Management Support, • Build tooling for release notes, changelogs, packaging, and deployment., • Standardise release processes across services., • Enable customer-facing packaging and deployments, without owning release decisions., • Change Management & Adoption, • Identify friction in developer workflows through metrics, surveys, and incident data., • Drive adoption of DevEx improvements by partnering with engineering teams, running enablement sessions, and monitoring uptake., • Define test strategy, coverage, or quality gates (owned by engineering teams)., • Own microservice/domain documentation., • Proven experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI, CircleCI)., • Strong background in SDLC practices and developer productivity tooling., • Hands-on experience with infrastructure automation (e.g., Docker, Kubernetes, IaC with Terraform, Ansible or Pulumi)., • Familiarity with observability & monitoring (Datadog, Prometheus, or similar)., • Experience managing or improving monorepo build systems., • Strong ability to measure developer productivity gaps and define KPIs., • Experience in driving adoption of change in engineering organisations., • Experience in release engineering or building developer-facing platforms., • Background in Software Engineering, SRE or infrastructure engineering, with a strong developer tooling focus., • Knowledge of compliance-driven SDLC requirements (e.g., ISO 27001, SOC2)., • Join a pioneering joint venture at the intersection of AI and industry transformation., • Work with a diverse and collaborative team of experts from various disciplines., • Opportunity for professional growth and continuous learning in a dynamic field.

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

ENGINEERING MANAGER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioral analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As an Engineering Manager, you’ll lead a team of 4 engineers while staying 50–60% hands-on with coding and architecture. You’ll own the technical direction of the Platform Team, working with real ML datasets, Rubix data, and large-scale ad traffic analytics. This role is about balancing leadership with deep technical contribution—you’ll review pull requests, write POCs, guide architectural decisions, and deploy to production twice a week. Specifically, you can expect to be involved in the following: • Technical tasks: Building features for the Data Science team, launching new ML models, and improving real-time traffic tracking., • Leadership tasks: Mentoring engineers, refining engineering processes, and collaborating with Product, Data Science, and the CPO to drive innovation. SKILLS AND EXPERIENCE The successful Engineering Manager will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Proven leadership experience managing 2+ engineers—this is not a pure management role; you must remain hands-on., • Strong full-stack fundamentals: Python (essential), JavaScript/TypeScript/React (understanding required, even if not writing it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Engineering Manager will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • MLflow (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar), • Python-based ML workflows

Job Types: Full-time, Permanent Work Location: Remote (UK-based only) Salary: £50,000–£60,000 depending on experience About Us Asseticom is a dynamic software company specialising in asset management data capture solutions for the built environment. Our platform empowers global engineering consultancies, central government, and facilities management firms to optimise asset information through innovative technology, spatial data, and advanced analytics. Role Overview We’re seeking an experienced React Native Developer to join our growing team in the facilities management sector. You’ll develop and maintain features for our mobile application, enabling clients to capture asset data efficiently and reliably. Our stack includes TypeScript, Firebase, Expo, React Navigation, Reanimated and Vision Camera, alongside other high-quality React Native libraries. You’ll have opportunities to explore AI-driven enhancements and contribute to meaningful R&D projects that push the boundaries of spatial data solutions. This fully remote role offers a collaborative, flexible environment with occasional travel for company events. Join a supportive team that values technical excellence, innovation, and work-life balance, working alongside experienced engineers and industry leaders on cutting-edge projects. Note: This role is only open to UK residents with the right to work in the UK. Applications from outside the UK, outsourcing firms, or recruitment agencies will not be considered. Responsibilities Feature Development & Maintenance • Plan, design, and implement performant, user-friendly features using React Native and TypeScript., • Write and maintain unit, integration, and E2E tests to ensure code quality and reliability., • Collaborate with developers, designers, and stakeholders to iterate on features based on feedback. Technical Contributions • Leverage Firebase to build scalable and secure functionality., • Ensure compatibility and optimised performance across iOS and Android platforms., • Contribute to AI-driven feature development and R&D initiatives, exploring innovative use cases for spatial data. Team Collaboration & Growth • Participate in code reviews and engage in regular 1:1 mentorship., • Actively research ecosystem developments and advancements, sharing knowledge with others., • Contribute to team initiatives, with opportunities to take on leadership roles in feature development or cross-functional projects. Required Skills & Experience • At least 3 years of recent, continual experience with React Native in a professional software development environment., • Very strong communication skills. You must speak, write and be able to understand fluent English., • Deep knowledge and regular usage of Firebase suite, especially Firestore., • Strong proficiency in TypeScript and modern JavaScript (ES6+)., • Familiarity with Expo, React Navigation, Reanimated and Vision Camera., • Understanding of mobile app development best practices, including release automation and performance optimisation., • You must enjoy constantly learning and researching to improve your level of expertise. Nice to Have • Experience with native mobile development (Swift/Objective-C for iOS, Kotlin/Java for Android)., • A keen eye for design, accessibility and user experience best practices., • Accomplished in web development., • Experience with Sentry or similar application monitoring tools., • Computer Science or related technical degree., • Familiarity with 360 cameras or spatial data capture technologies. Assessment Process Selected candidates will undergo a two-stage interview process, including a short, take-home practical assessment. Benefits • 25 days annual leave + bank holidays., • Company pension with 3% employer contribution., • Private medical insurance, including mental health support and wellness resources., • Annual budget for professional development (e.g., certifications, conferences)., • Latest generation Apple Mac provided., • Regular company events (virtual and in-person)., • Flexible hours to support work-life balance. Schedule • Monday to Friday, with flexible hours to accommodate personal needs. Note: This is not an exhaustive list of responsibilities or qualifications. Skills will be assessed prior to an offer.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal Infrastructure Engineer – Azure will design and maintain scalable, compliant, and cost-optimized infrastructure blueprints across Syniti’s Azure-hosted environments. This role directly supports the global expansion of our SaaS platform by delivering IaC and architectural frameworks aligned to regional compliance (Cyber Essentials+, SecNumCloud) and Northstar’s goals of regionalized builds, observability, and zero-trust boundaries. This engineer will serve as the Azure infrastructure lead for the technical initiative to port Syniti’s platform to Azure. They will define and validate baseline infrastructure, cloud-native service integrations, and CI/CD deployment models that ensure operational consistency and compliance across hyperscaler environments. WHAT YOU WILL DO · Design reusable infrastructure modules for deploying PaaS services, networking, and identity in Azure. · Collaborate with SREs and platform teams to develop hardened Azure blueprints for regulated workloads. · Implement tagging, policy, and automation frameworks that enforce cost control and compliance adherence. · Build and maintain CI/CD integrations for Azure region deployment automation. · Serve as Azure infrastructure SME in support of audits and security reviews (Cyber Essentials+, SecNumCloud) WHAT IT TAKES · Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems. · Exceptional documentation and system architecture design capabilities. · Strong system design thinking and architectural decision making. · Excellent written and verbal communication skills across engineering and compliance teams. · Self-motivated with a focus on infrastructure maintainability and automation. · Experience supporting regulated environments · 15+ years of infrastructure and cloud engineering experience. · 5+ years of hands-on Azure experience with a focus on PaaS services, networking, and Azure Policy. · 3+ years experience with Terraform module development for infrastructure provisioning. · Experience with Azure native security, workload identity, and role-based access control. · CI/CD and automation experience with GitHub Actions or Azure DevOps. · Experience building regionally compliant architectures (UK, France, Canada). Be fully aligned with our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

Job Description As an Agentic AI Engineer, you will design, build, and run AI agents and workflows that meaningfully improve how our engineers work every day. You will work closely with engineering teams to understand their pain points and translate them into practical solutions — for example, building reusable components like commands, skills, and CI agents; designing and orchestrating custom agent workflows; developing low/no-code agents for faster adoption; and creating and maintaining knowledge bases connected via connectors and MCP servers. You will also help teams adopt modern development workflows (e.g., spec-driven development instead of “vibe coding”) and lead workshops and training sessions to scale these practices across the organization Your work will help our teams shape the new way of working, reduce manual and repetitive work, and unlock new ways of collaborating with AI agents at scale — ultimately improving both developer productivity and the impact we deliver for clients. You will be based in Europe time zone as part of our CodeBeyond Team, partnering with engineers and stakeholders across different teams and setups. This team helps our colleagues adopt cutting-edge agentic platforms and workflows so they can focus more on solving complex problems and less on routine execution. Your Growth You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have: • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey., • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes., • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences., • Deep experience with agentic platforms, • Hands-on experience building and deploying agents using platforms such as AgentCore, Gemini Enterprise, and Azure Copilot., • Strong understanding of agent SDKs and frameworks such as ADK, LangChain, and Strands., • Strong development workflow discipline, • Proficient in modern development workflows (branching, code review, CI/CD, testing, observability)., • Clear understanding of why “vibe coding” (coding without specs, tests, or structure) is harmful at scale., • Experience using spec-driven development or similar frameworks to design and implement features in a structured way., • Agentic protocols, communication, and tactics, • Familiarity with key agentic patterns and protocols such as A2A (agent-to-agent communication), MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), memory management, and context management., • Ability to design effective interaction patterns between agents, tools, and users., • Cross-functional collaboration, • Ability to work with engineers, PMs, and other stakeholders to understand their problems and define clear, actionable requirements., • Experience running workshops, training sessions, and demos to drive adoption and teach best practices., • Hands-on build experience with LLM tooling, • Have created and maintained Cursor commands, Claude skills, steering documents, and CI agents (or similar equivalents in other tools)., • Comfortable experimenting with and standardizing new agent workflows and tools for wider team use., • Nice to have, • Experience with enterprise AI governance, safety, and compliance practices., • Background in developer experience (DevEx), platform engineering, or internal tools., • Familiarity with observability and monitoring for agents (traces, logs, evaluation frameworks, feedback loops)., • Experience integrating agents with existing systems via APIs, webhooks, and event-driven architectures.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

About us Founded in 2008, CitNOW is an innovative, enterprise-level software product suite that allows automotive dealerships globally to sell more vehicles and parts more profitably. CitNOW’s app-based platform provides a secure, brand-compliant solution – for dealers to build trust, transparency and long-lasting relationships. CitNOW Group was formed in 2021 to unite a portfolio of 12 global software companies leveraging innovation to aid retailers and manufacturers in delivering an outstanding customer experience. We have over 300 employees worldwide who all contribute to our vision to provide market-leading automotive solutions to drive efficiencies, seamlessly transforming every customer moment. The CitNOW Group is no ordinary technology company, we live a series of One Team values and this guiding principle forms the foundation of CitNOW Group’s award winning, collaborative and inclusive culture. About the role CitNOW Group has rapidly expanded through multiple acquisitions, creating an exciting ecosystem of platforms, applications and data landscapes. We are seeking an experienced Enterprise Architect to define and implement a group-wide architecture strategy that unifies these systems within a cohesive, scalable and future-ready environment, enabling us to accelerate innovation in a secure and scalable manner. We’re seeking strong expertise in enterprise architecture, with a proven track record in post-merger and acquisition integration. The ideal candidate will have deep knowledge of integration platforms, data architecture and cloud technologies, combined with excellent communication and stakeholder management skills to influence effectively across diverse business units. This role is critical in harmonising technology across acquired entities, ensuring seamless integration, robust data architecture and alignment with our vision for connected automotive dealer platforms. Key responsibilities include: Group-Wide Architecture Strategy • Develop and maintain a unified enterprise architecture framework that spans all acquired businesses, • Define standards and blueprints for integration, data architecture, and core enterprise systems Integration & Consolidation • Lead the design of integration strategies to connect disparate platforms, applications, and processes across the group and with external third-parties, • Oversee consolidation of legacy systems while enabling interoperability with modern automotive software solutions Data Architecture & Governance • Establish a group-wide data architecture to ensure consistency, quality, and accessibility of information, • Implement governance frameworks for master data management, analytics, and compliance with industry regulations Traditional Enterprise Architecture • Design and maintain models for business, application, and technology architectures, • Ensure scalability, security, and resilience across infrastructure and software platforms Innovation & Transformation • Identify opportunities to leverage emerging technologies (AI/ML, IoT, cloud-native, etc.) across the group, • Identify and drive modernisation initiatives such as microservices adoption, cloud migration and others. Collaboration & Leadership • Partner with leaders across acquired entities to align local systems with group-wide standards., • Provide mentorship and guidance to architects and technical teams, fostering a culture of collaboration and innovation We're looking for key skills in the following areas: Identity, access and security • SAML, Oauth2, JWTs, etc., • IDaaS platforms, preferably Keycloak, • SSO integration patterns, • Identity federation, • Zero-trust principles, RBAC, and the associated audit/governance Integration architecture • Event-driven architecture patterns (distributed design patterns more generally is an advantage), • API design, management, and governance, • Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture • Data modelling, cataloguing, and associated governance, • Data lakes, distributed storage, • Metadata management Cloud & Platform Architecture • Proficient in AWS, but familiarity with Azure/GCP also useful, • Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them), • IaC literacy (ideally Terraform) Software Architecture • Microservices, monoliths, hexagonal, etc, • Event sourcing and propagation, • Distributed systems behaviour (and the trade-offs, latency, redundancy, resilience), • Understanding of scalability, reliability, performance engineering, etc Architectural Governance • Establishing group architectural patterns without slowing down individual teams or reducing autonomy, • Creation of reference architectures for others to adopt and follow, • Standing up a matrixed group architecture function In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi-time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day. Employees also benefit from an additional two half days paid leave per year to focus on their personal wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates diversity across our international teams. We are passionate about creating an inclusive workplace where everyone’s individuality is valued. View our candidate privacy policy here - ___

STAFF ENGINEER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioural analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation. Specifically, you can expect to be involved in the following: • Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines., • Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE The successful Staff Engineer will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Staff Engineer will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Senior / Staff Machine Learning Engineer - Gaming. Deep understanding of machine learning, data analysis, and statistical modelling.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Senior Engineer is highly engaged in the successful installation, configuration, and technical leadership of Syniti software solutions. This role requires a deep understanding of Syniti's data migration and data quality tools, as well as the ability to perform complex technical tasks to support data projects. The Senior Engineer will work closely with project managers, business analysts, and client stakeholders to ensure that Syniti solutions are implemented effectively and efficiently. WHAT YOU WILL DO 1. Installation and Configuration: · Participate in the installation and configuration of Syniti software solutions, ensuring alignment with project requirements and technical specifications. · Collaborate with IT teams to prepare the environment for Syniti solution deployment, including hardware and software prerequisites. 2. Technical Support: · Provide technical support to the project team, ensuring best practices in data migration and data quality are followed. · Develop and maintain technical documentation, including architecture diagrams, configuration guides, and troubleshooting procedures. 3. Project Management Support: · Work closely with project managers to define project scope, timelines, and deliverables. · Assist in the development of project plans and schedules, ensuring technical tasks are accurately represented. 4. Stakeholder Engagement: · Engage with client stakeholders to understand their business requirements and translate them into technical solutions. · Participate in technical workshops and presentations to demonstrate Syniti solution capabilities and project progress. 5. Continuous Improvement: · Stay updated with the latest Syniti product releases and enhancements, incorporating new features into project solutions where applicable. · Identify opportunities for process improvements and implement changes to enhance project delivery and client satisfaction. WHAT IT TAKES · 3+ Years of experience in IT Services Delivery, with strong emphasis on server configuration, support, and troubleshooting. · Bachelor’s degree in Computer Science, Information Technology, or a related field. · Familiarity with data integration tools and techniques. · Advanced experience with SQL Server, SAP HANA, and/or Postgres database management. · Excellent problem-solving skills and the ability to troubleshoot complex technical issues. · Proven experience in leading technical teams and managing client relationships. · Strong English communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders. · Extensive experience with Syniti software solutions, particularly in installation and configuration. · Strong understanding of data migration methodologies and data quality principles. · Certification in Syniti solutions or related technologies. · This position may require travel to client sites for project implementation and support. · The role may involve working outside of standard business hours to meet project deadlines or address critical issues. Be fully aligned with our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Head of Engineering (AI-First SaaS Platform) £95,000 – £130,000 base + equity (EMI) + benefits Location: UK (Hybrid – Office & Remote) Keepnet is an AI-driven SaaS platform experiencing strong, sustained growth, helping organisations manage human cyber risk at scale. With Agentic AI live in production, Keepnet operates autonomous agents that plan, build, localise, and run security awareness and human risk workflows, supported by strong guardrails, deep observability, and human-in-the-loop controls where required. We are looking for a Head of Engineering to scale these production-grade agentic systems, strengthen platform reliability, and lead global engineering teams to deliver a secure, highly reliable, and operationally mature SaaS platform. This role sits at the intersection of AI-first engineering, distributed systems, and customer impact, working closely with the leadership team, customer success, development, DevOps, and security teams to ensure engineering accelerates, rather than blocks, sustainable growth. This is not a maintenance role. This is a build, scale, and lead role. Why This Role Matters You will own the engineering vision and execution of Keepnet’s core platform, operating across the UK, EU, US, UAE, and Canada, supported by distributed offshore and nearshore teams. Your leadership will directly influence platform stability, delivery predictability, the maturity of AI systems in production, and customer trust as the business scales. What’s In It for You • Strategic ownership of the engineering function end-to-end, • EMI-qualified equity with meaningful upside, • An AI-first environment with production-grade agentic systems, • The opportunity to shape engineering at a critical growth stage, • A structured hybrid working model with strong in-office collaboration, • Own and scale the global engineering organisation, including onshore, nearshore, and offshore teams, • Establish clear delivery standards, communication rituals, and accountability models for distributed teams, • Design and evolve a distributed SaaS architecture using Azure, AWS, Cloudflare, Kubernetes, managed databases, queues, and workers, • Maintain the platform with clear ownership, fast remediation, and a strong bias towards preventing recurring production issues, • Champion AI-assisted software engineering, using tools such as Cursor as part of everyday workflows while keeping engineering judgement and accountability with people, • Embed observability-driven reliability, leveraging metrics, tracing, and tools such as Sentry to proactively detect and prevent incidents, • Lead teams building asynchronous, distributed systems using message queues, background workers, and event-driven patterns, • Ensure high standards of engineering quality and maintainability, making pragmatic trade-offs without compromising system integrity, • Work closely with DevOps on CI/CD pipelines, release safety, and infrastructure resilience, • Translate business priorities into clear technical roadmaps and execution plans, • Support leadership with technical analysis, documentation, budgeting, and reporting, • Build a culture of ownership and production accountability across teams, • Hire, mentor, and retain high-performing engineers and engineering leaders globally You will not be expected to do everything yourself. Success in this role will be measured by platform reliability, delivery predictability, team health, and customer impact. What You’ll Bring • Proven experience leading distributed engineering teams, including offshore and nearshore models, • Strong hands-on background with .NET, Python, and JavaScript/TypeScript, • Deep experience with cloud infrastructure (Microsoft Azure, AWS, Cloudflare), • Strong understanding of Agile and Scrum in distributed environments, • Experience with AI-assisted development workflows, • Experience operating multi-region SaaS platforms at scale, • Strong collaboration with DevOps teams and ownership of CI/CD pipelines, • A security-first mindset, building systems that are secure by design (safe APIs, data protection, least-privilege access), • Excellent communication skills across Slack, Microsoft Teams, and in-person settings, • A leadership approach grounded in clarity, ownership, and delivery Life at Keepnet At Keepnet, engineering is a strategic growth engine, not a support function. What you can expect: • Hybrid working with meaningful in-person collaboration, • Global teams and real-world scale, • Annual leave of 25 days, plus one additional day per year of service, • Enhanced parental leave, • Gym support and a cycle-to-work scheme, • EMI-qualified equity, • Monthly team lunches and quarterly offsites, • A culture that supports learning, experimentation, and continuous improvement Why This Role Is Different This role is for someone who: • Enjoys building what others hesitate to own, • Treats distributed teams as a design challenge, not a compromise, • Knows when to move fast and when stability matters more, • Uses observability and judgement to prevent incidents rather than explain them afterwards, • Understands that culture is a system and builds it deliberately If this resonates with how you work, we would like to hear from you.

Head of Audit and Regulation Position: Head of Audit and Regulation Location: National role, with regular travel Contract type: Full time, 40 hours per week Are you an experienced regulatory professional driven to make a real impact? This is an amazing opportunity for an ambitious and determined senior leader, who wants to shape quality and compliance at national scale. Reporting to the Clinical Director, this role carries significant professional autonomy, influence and responsibility. It’s designed for a leader who is confident operating at the highest level, respected for their regulatory judgement and motivated by building assurance systems that anticipate risk, drive improvement and ensure safety. As Head of Audit and Regulation, you’ll lead the continued evolution of our quality assurance approach from inspection preparation to a continuous, intelligence led model. About Exemplar Health Care Exemplar Health Care is one of the country’s leading nursing care providers for adults living with complex needs. We have 60 care homes across England that support adults living with complex mental health needs, dementia, neuro-disabilities and physical disabilities. As well as stable and secure employment opportunities, we offer great benefits and perks, and plenty of opportunities to learn, develop and progress. About the role As Head of Audit and Regulation with Exemplar Health Care, you’ll lead a team delivering regulatory style inspections, audits and deep dive reviews, ensuring assurance activity is proportionate, outcome focused and improvement driven. You’ll provide authoritative advice on regulatory risk, inspection preparation and enforcement activity, and deliver intelligence that informs executive decision making and improves clinical practice. No two days will ever be the same, but your day-to-day responsibilities will include: • working collaboratively across clinical, quality and operational teams, • ensuring learning from regulatory intelligence shapes training, policy development and service improvement, • representing Exemplar Health Care with confidence and authority in external regulatory and quality forums. Download the job description for a full list of responsibilities. About you Above all, you’re someone who identifies with our values of fun, integrity, responsiveness, success and teamwork. You’ll also be: • recognised as an expert in health and social care regulation and inspection, • ambitious and forward thinking, with the drive to influence strategy and standards nationally, • tenacious and resilient, able to hold quality under pressure, • analytically strong, using intelligence and data to identify risk, variation and opportunity, • credible and engaging, able to challenge and support senior leaders constructively, • values led, with an unwavering commitment to safety, dignity and quality of life, • a senior leader with a Master’s degree or equivalent experience. What we offer We offer great rewards and perks including: • excellent supervision, peer support, learning opportunities and career prospects, • retail and lifestyle discounts, • free DBS check, • electric car salary sacrifice scheme, • BUPA Health Care, • Life Assurance, • paid access to the RCNi Learning platform, • 24/7 counselling and support, • Blue Light Card eligibility. How to apply Sound good? We’d love to hear from you. Click the button to ‘APPLY NOW’. For an informal chat about joining us, please contact or call 07506991913

Senior Nurse - Professional Practice Position: Senior Nurse - Professional Practice Location: National role across England Contract type: 40 hours per week Rate: Competitive Want to leave your mark on nursing at a national level? We’re looking for a dynamic Senior Nurse - Professional Practice to drive excellence, lead with credibility, and elevate nursing practice across Exemplar Health Care. This is a unique opportunity to shape standards, grow talent, and influence the future of nurse-led complex care. You’ll shape professional direction, lead by example, and champion confident, compassionate nursing leadership. From practice frameworks and student placements, to workforce development and career pathways, you’ll drive innovation and create a lasting impact across the organisation. About Exemplar Health Care Exemplar Health Care is one of the country’s leading nursing care providers for adults living with complex needs. We have 60 care homes across England that support adults living with complex mental health needs, dementia, neuro-disabilities and physical disabilities. As well as stable and secure employment opportunities, we offer great benefits and perks, and plenty of opportunities to learn, develop and progress. About the role As a Senior Nurse - Professional Practice with Exemplar Health Care, you’ll provide authoritative leadership for professional nursing practice, ensuring alignment with the NMC Code and best practice standards. No two days will ever be the same, but your day-to-day responsibilities will include: • designing and assuring professional development pathways that strengthen capability, retention and succession, • overseeing high quality student placement governance and learner experience, working in partnership with Higher Education Institutions, • championing pastoral support for students, newly appointed nurses and developing practitioners, • supporting the design and evaluation of new and extended nursing roles, underpinned by clear governance and measurable impact, • contributing to organisational learning from incidents, audits and reviews where professional practice is a factor. About you Above all, you’re someone who identifies with our values of fun, integrity, responsiveness, success and teamwork. You’ll also have: • a current NMC registration and a strong track record of senior responsibility for professional practice, education or workforce development, • credibility, emotional intelligence and confidence, • a deep understanding of professional regulation, clinical governance and the contemporary social care nursing, • a passion for developing others, strengthening professional identity and building future ready nursing systems, • a Postgraduate education in leadership, education or workforce development is desirable, • experience of competence frameworks, professional assurance systems and learner supervision. What we offer We offer great rewards and perks including: • excellent supervision, peer support, learning opportunities and career prospects, • retail and lifestyle discounts, • free DBS check, • electric car salary sacrifice scheme, • BUPA health care, • Life Assurance, • paid access to the RCNi Learning platform, • 24/7 counselling and support, • Blue Light Card eligibility. How to apply Sound good? We’d love to hear from you. Click the button to ‘APPLY NOW’. For an informal chat about joining us, please contact or call 07506991913

Build and optimise models using machine learning and deep learning techniques. Join to apply for the Lead AI & Machine Learning Engineer role at Lloyds Banking Group. Lead AI & Machine Learning Engineer.

The ideal candidate will have hands-on experience in deep learning, proficiency with modern ML frameworks, and excellent communication skills. A leading online retailer in Greater London is seeking a Machine Learning Engineer to develop and deploy impactful machine learning solutions within a cross-

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Proficient in Python and deep learning frameworks like PyTorch or JAX, with experience in Docker and Kubernetes. Machine Learning Engineer at deep tech industrial AI startup. This role bridges the gap between research and production by operationalising physics‑informed and deep learning models und

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This role bridges the gap between research and production by operationalising physics-informed and deep learning models under real-world constraints. Work at a well-funded startup backed by top-tier VCs, operating at the intersection of deep learning and physical science. Proficient in Python and de

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid.

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Cleaner - Swords.Compass Group Ireland, contracted to.If you're a committed Cleaner looking for a role you'll shine in, we've got the position for you.Your key responsibilities will include:.Working alongside our cleaning and facilities teams to keep environments safe and hygien

Location: Stoke D’Abernon Cobham, Surrey, UK.Additional hours may be available during school holidays and on an ad-hoc basis.The School is looking for a Cleaner to work at the Hall every Saturday and assist with cleaning and housekeeping in the main school buildings when required.Job Specification

Sevenoaks School is currently seeking to appoint a Boarding House Cleaner (Part-time, all year round).We are looking for a candidate who is reliable and punctual, able to work unsupervised, has good communication skills, and is flexible, adaptable, and thorough.Previous cleaning experience is d

Bayesian methods, machine learning).

Data Scientist: Machine Learning & Python Specialist 🐍. Deep, practical experience with popular ML frameworks and libraries:.

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Deep expertise in experimentation, including advanced techniques and real-world constraints (e.

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Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment.