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to streamline deployments, improve scalability, and ensure our services are reliable, secure, and cost-effective. By building efficient CI/CD pipelines, managing cloud environments, and enforcing infrastructure best practices, you ll enable our teams to deliver high-quality features quickly and confidently. This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. • Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes., • Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP) ., • Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi ., • Deploy and manage containerized applications using Docker and Kubernetes ., • Monitor system performance, identify bottlenecks, and improve infrastructure reliability., • Establish and enforce security best practices , including identity management, logging, and vulnerability management., • Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues., • Optimize cloud resource utilization to ensure cost-effectiveness and scalability., • Automate infrastructure provisioning, configuration management, and system maintenance., • Stay up-to-date with emerging DevOps technologies, tools, and best practices., • Around 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering ., • Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD)., • Experience with cloud services (AWS, Azure, or GCP) and serverless computing ., • Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi ., • Hands‑on experience with containerization and orchestration (Docker, Kubernetes, Helm)., • Strong knowledge of Linux-based systems, networking, and security best practices ., • Scripting skills in Bash, Python, or Go for automation., • Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog)., • Understanding of cloud cost optimization, scalability, and high‑availability architectures ., • Strong problem-solving skills and ability to work in an agile, fast-paced environment., • Apple hardware ecosystem for work., • Annual Bonus Top-tier Health and Life Insurance for peace of mind., • Transportation Budget to support your commute needs., • Coverflex benefits package for meal allowances, well-being, and more., • Childcare support., • Air Conference - an opportunity to meet the team, collaborate, and grow together., • Pension Fund to support your long-term financial planning., • Urban Sports Club membership to keep you active., • Meals 100% free at the hub. Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. About Air Apps At Air Apps, we believe in thinking bigger - and moving faster. We re a family-founded company on a mission to create the world s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018 - and now with offices in both Lisbon and San Francisco - we ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management - and change lives along the way. The Role As a DevOps Engineer Backend , you will play a key role in designing, automating, and maintaining the infrastructure that powers our backend systems. You ll work closely with developers #J-18808-Ljbffr

Role: AI Architect Reports to: Chief AI Officer (line management) Location in structure: AI/Data architecture area — embedded within the delivery area it serves, line-managing centrally to the Chief AI Officer Experience: Senior — 6+ years in software, data, or platform engineering/architecture, with meaningful hands-on time on production AI systems, not just pilots Direct reports: None. Influence comes from judgement and presence in the right conversations, not headcount. AI decisions at Citation now cut across Product, Engineering, Security, Infrastructure, and the Business simultaneously — model selection, data architecture, cost, and risk are no longer separable concerns. Without a dedicated architectural owner, each initiative makes these calls independently: patterns diverge, risk goes unspotted until it's expensive, and nobody owns the AI-specific decisions that don't belong wholly to any one function. This isn't a hypothetical gap. Much of this work is already happening informally inside Citation's AI delivery — reviewing partner Statements of Work, governing what goes through Code Factory, acting as the practical architectural voice on live builds. This role formalises that into a mandate with the standing and scope it needs. The AI Architect is Citation's dedicated architect for the AI/Data area, sitting alongside the architects covering Human Resources, Business Systems, Health & Safety, eLearning, Verification, Certification, and Atlas Platform: embedded in the delivery area it serves day to day, but line-managing centrally to the Chief AI Officer so its calls hold across the business, not just the team it happens to sit nearest to. The architecture hub owns target-state and standards across the whole architecture function; this role owns the AI-specific application of it, escalating decisions with consequences beyond AI/Data to the Architecture Review Board rather than deciding them alone. The clearest sign this role is working: AI initiatives at Citation start well and stay on track architecturally. In practice that means: • Established patterns are the default starting point for new builds, not something teams discover after the fact, • Design questions are resolved before Engineering starts building, not during or after, • Third-party Statements of Work are assessed architecturally before they're signed, • Model and hosting choices are made against a documented decision framework, not habit or vendor pressure, • Token spend and cost-per-outcome are tracked and explainable, not a surprise on the invoice, • Security is involved in every significant initiative from the start, not introduced at the end, • Leadership has a current, accurate view of AI architectural risk and direction, with no significant surprises Architectural standards and patterns Own the design patterns Citation builds its AI systems to: retrieval and grounding approaches for systems that need Citation's own knowledge rather than a model's general training, agent orchestration patterns and tool-calling conventions for multi-step and multi-agent work, prompt construction and guardrail design, and the routing logic that decides which model handles which step. Keep these current as the landscape moves, and write decisions down in a form Engineering and Product can actually build against — architecture decision records, not a slide deck. Align standards to Citation's five-layer AI platform architecture. Hold a documented, evidence-based framework for choosing between closed frontier models accessed through a provider's API (Anthropic, OpenAI, Google) and open-weight models run on Citation's own infrastructure (Llama, Mistral, Qwen and similar) — and apply it per workload, not as a single blanket choice. The framework should weigh: • Task complexity — complex reasoning and long‑horizon agentic work generally favour frontier closed models; simpler classification, extraction, and templated generation are often better served by smaller open-weight models at a fraction of the cost, • Volume and cost at scale — at high token volumes, self‑hosting open-weight models can cross into materially cheaper territory; this role owns the analysis of where that break‑even sits for Citation's actual workloads, not a generic industry number, • Data sensitivity and residency — for HR, employment, and compliance data, self‑hosting open-weight models remove a class of third‑party data‑sharing risk that closed providers (even with strong contractual terms) don't fully eliminate, • Fine‑tuning and customisation — where an open-weight model fine‑tuned on Citation's own data would outperform a general‑purpose model at lower running cost, that's a build case this role should be able to make with evidence, not intuition, • Latency, licensing, and total cost of ownership — including the practical overhead of running and maintaining your own models, not just the sticker price of tokens Understand and actively manage the unit economics of every AI solution recommended, including: • Modelling likely token cost at design time, before a system is built, so the business knows what it's signing up for, • Specifying model routing (cheaper models for simpler steps, frontier models reserved for what actually needs them), prompt and context engineering for efficiency, and caching where appropriate, • Recognising that agentic and multi‑agent patterns can multiply token consumption several‑fold over a single well‑scoped call, and that orchestration‑pattern choice is itself a cost decision, • Setting up the observability to track cost‑per‑outcome and cache performance over time, not just the total spend line Assess whether the data behind any AI initiative is structured, accessible, and reliable enough to support the intended behaviour — across Citation's Salesforce, Atlas, Snowflake, and integration layers — and flag readiness issues before they become delivery blockers. Hold the approval path for new AI architectural patterns and material departures from existing standards. Attend initiative design conversations early enough to shape them, not just review them, and sign off on the AI design elements of partner Statements of Work. Define scope and success criteria for AI spikes and proofs of concept before they start, validate vendor and partner capability claims before they're embedded in a committed design, and make sure proof‑of‑concept outputs are evaluated against real delivery constraints — not vendor demo conditions. Act as the internal architectural counterpart to Citation's delivery partners, the way any enterprise architecture function holds its critical vendors to a defined standard: review proposals and Statements of Work before commitments are made, run design reviews during delivery, and give partners a well‑defined target with technical challenge where their decisions need scrutiny. Set the standard for how AI systems are monitored and evaluated once live — offline and online evaluation, drift detection, guardrails — and own the response framework for AI incidents in production, alongside the cost governance described above. Bring Security in as #J-18808-Ljbffr

C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market, and to providing the highest levels of accountability and customer service. We are currently hiring for a Senior AI Engineer as we look to expand our team and support our growing roster of local and national clients. If you are unable to complete this application due to a disability, contact C-4 Analytics to ask for accommodation or an alternative application process. Who We're Looking For: Senior AI Engineer - Remote We are seeking an AI Wizard who speaks fluent LLM and dreams in Vector Databases. As a Senior AI Engineer, you will be working with the latest in AI technology, including agent libraries, advanced LLMs and NLP tools. You'll have the opportunity and autonomy to lead the development and implementation of AI-powered solutions. This role will focus on integrating diverse data sources, refining AI interactions through prompt engineering, and collaborating with cross-functional teams to drive artificial intelligence adoption and innovation. Your work will directly impact how automotive dealerships operate and compete in their markets. If you've ever wanted to: • Be the person who makes AI actually useful (not just another chatbot that tells jokes), • Work with cutting-edge tech without the "we're changing the world with blockchain" nonsense, • Build systems that impact real businesses and real people, • Never have to explain to your family why you're "still playing with computers" (because the results speak for themselves) A day in the life of a Senior AI Integration Engineer • Working with NLP that utilizes cutting-edge AI technologies to integrate AI-driven insights across company systems, enhancing access to data and supporting decision-making processes., • Leverage AI technologies (LLMs) to continue development and implement chatbot agents for company-wide insights., • Implement test-driven prompt engineering to design, optimize, and refine prompts for accurate and relevant AI-driven interactions, ensuring AI responses are thoroughly validated for accuracy, relevance, and consistency before deployment., • Integrate AI with internal and external data sources, ensuring seamless access to business-critical data., • Collaborate with engineering, data science, product management, and operations teams., • Assist in data architecture, preparation, and sanitization for effective use by AI models., • Develop AI strategies aligned with business goals and objectives., • Monitor and optimize AI performance for continuous improvement., • Advise on AI adoption and identify areas for efficiency and innovation., • Ensure ethical use of AI, maintaining data security, privacy, and compliance., • Stay current with advancements in AI, ML, and LLM technologies. The Tech Toybox includes: • TensorFlow/PyTorch for those deep learning dreams, • ️Cloud platforms to make it all float, • Langchain & LlamaIndex for connecting the dots What you’ll need to succeed: • At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs., • Strong experience with prompt engineering and NLP tasks., • Proven experience integrating AI systems with data platforms (databases, data lakes, APIs)., • Familiarity with data wrangling and preparation tools., • Programming skill in Python and experience with AI frameworks (TensorFlow and PyTorch)., • Experience with cloud platforms (AWS, Google Cloud, etc)., • 3+ years of professional experience working in agile teams and SDLC for AI projects. This role requires a blend of technical expertise, strategic thinking, and collaborative skills to effectively integrate AI solutions and drive business value. Flexibility: The Senior AI Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options: • Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with teams, engage in face-to-face interactions, and foster a sense of community., • Remote: We understand that some individuals thrive in a remote working setup. As such, we support remote work arrangements, allowing you to work from the comfort of your own home or any location that enhances your productivity., • Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds. Compensation: We offer a competitive compensation commensurate with experience and qualifications. The starting annual on-target earning for this position is $150,000.00. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Working at C-4 Analytics We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. All are welcome to visit our careers and culture page for more details. More About C-4 Analytics C-4 Analytics takes the guesswork out of advertising. We don’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate and instigate. We are forward-thinking, but we learn from the past. We are results-driven and our strategies drive results. We love the practical applications of psychology to marketing, but we aren’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics. • Mid-Senior level, • Full-time, • Engineering and Strategy/Planning, • Industries: Advertising Services #J-18808-Ljbffr

Location: Wakefield , Yorkshire & the Humber Thank you for taking an interest in the role advertised. We'd like to confirm that each CV received is read thoroughly by a trained consultant; if your application is shortlisted then you will be contacted via telephone in the first instance. If we have not contacted you within 5 working days of your application, please understand that the CV received, and the information provided does not meet the requirements of the role. However, we endeavour to consider all applicants for future opportunities; should you wish to speak to the named consultant about your application, please contact us directly. Above Market Rate (available upon request) Wakefield (Onsite) Excellent Company Culture | Onsite Gym | Free Onsite Parking | + More Due to the nature of our roles, candidates must be a UK resident residing within commutable distance to Wakefield, West Yorkshire. Please note that we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the UK for the duration of the role without requiring sponsorship. Reporting to the Commercial Director, the Customer Operations Manager will be highly process driven and detail oriented, whilst being an inspiring and approachable leader. You will set the strategy for the department, aligning activity with business goals whilst improving efficiency, service quality and team performance. With a continuous improvement mindset, you will streamline processes, encourage collaboration across teams and support initiatives that enhance customer satisfaction and sustainable sales growth. • Strategy: Develop &set the strategic direction for the Sales Support department, working closely with the Senior Leadership team to identify and implement process improvements, service enhancements, and cost efficiencies., • Leadership & People Management: Mange 2 Team Leaders and indirectly manage 13 Sales Support Executives. Lead recruitment, coaching and development to drive performance, customer satisfaction and operational excellence., • Customer Experience & Escalations: Oversee UK & International customer journeys, resolving escalations and ensuring a seamless, compliant service., • Internal Systems & Technologies: Ensure teams’ effective and accurate use of the internal systems and act as a champion for any technology upgrades/transformations., • Data Quality: Consistently maintain a high standard of data accuracy across the team, ensuring all information and activity is efficiently recorded within the appropriate systems to improve service delivery and support business growth., • Cross-Departmental Collaboration: Work collaboratively with Sales, Operations and other internal teams, streamlining workflows to enhance customer experience and drive revenue., • Reporting: Define, track, and evaluate measurements of success & KPIs, using insights to drive continuous improvement, and align team efforts with strategic goals., • Budget & Resources: Support budget planning, monitor spend and optimise resources without compromising service quality., • Solid experience as a Customer Operations Manager, Sales Operations Manager, or Sales Support Manager or similar, within a B2B environment is essential., • Confident, inspiring, detail oriented, and process driven character is essential., • Strong people management & leadership experience; recruiting, coaching, and managing the performance of a department., • Confident acting as an escalation point, with experience handling and resolving complex issues whilst protecting customer relationships., • Experience working with data to report on KPIs, and support decision making to improve processes, increase efficiency and enhance customer experience., • Extensive professional experience using/working with an internal CRM/ERP. experience working with data to report on KPIs and support decision making., • Excellent communicator with the ability to build and manage stakeholder relationships and work comfortably across different departments., • Experience managing budgets/resources, with an understanding of how to maximise service efficiency., • UK resident with unrestricted right to work in the UK. Is a Yorkshire-based, privately owned manufacturer & supplier of cutting-edge power solutions, serving clients globally. With a focus on innovation and sustainability, their products are designed, developed, and produced by the team in West Yorkshire, aiming to create collaborative spaces for commercial and public use. For more on Marmion, check out our 5* reviews on Trustpilot & Google. #J-18808-Ljbffr

Manage and optimize Google & Bing Shopping campaigns to maximize GMV and contribution.This is a hands-on role focused on campaign architecture, feed intelligence, and efficiency.

Seeking an experienced Marketing Manager to create and execute data-driven marketing campaigns, focusing on lead generation (MQLs) across various channels like Google Ads and LinkedIn, and analyzing campaign performance to optimize ROI.

Seeking a Performance Marketing Manager for Dylan Oaks to manage paid media (Meta, Google), analyze performance using key metrics, develop creative strategy, run affiliate programs, and optimize site conversions.

PPC Executive needed to manage and optimize paid media campaigns (Google Ads, Meta Ads) for UK and international clients, focusing on keyword research, performance analysis, and reporting. Requires proven PPC experience and strong analytical skills.

IT Support Engineer needed in Cambridge for a school group, providing technical support for staff and students, maintaining systems, and assisting with IT projects. Requires experience in IT support and familiarity with MS365, Google Suite, and networking.