Trabajos monitoring and evaluation en PerthCrear alertas

Main Purpose of the Role Working within Perth & Kinross Council is more than a job, it's about being part of something meaningful. It's about being part of an organisation that puts people at the heart of all we do and provides opportunities to make a real difference by enhancing every life we touch. \n We currently have the following opportunity: \n Compliance Officer (Mechanical) - PKC13900 £42,721 - £46,944 2 High Street, Perth \n Perth & Kinross Council Property Services provides professional services for the development, management and maintenance of a significant and diverse portfolio of public buildings. This includes secondary, primary and nursery schools, residential care homes, offices, day care facilities, civic buildings and a wide range of other non-domestic properties. \n The Service brings together building management, design, construction, maintenance and procurement functions to ensure that all buildings are safe, legally compliant, well-maintained and fit-for purpose. \n The Compliance Team manages a wide range of statutory servicing and maintenance contracts and plays a key role in maintaining compliance and informing planned maintenance programmes. \n Role Purpose \n The Compliance Officer (Mechanical) is responsible for ensuring statutory and regulatory compliance of mechanical systems across the Council’s non-domestic property estate. The role involves managing planned preventative and reactive maintenance contracts, auditing contractor performance, maintaining accurate asset and compliance records, and supporting continuous improvement to safeguard building users and the organisation. \n This is a challenging and rewarding opportunity within a dynamic, multi-disciplinary environment, with a direct impact on public safety, service resilience and legal compliance. \n Key Duties and Responsibilities \n Contract and Compliance Management \n\n • Oversee Planned Preventative Maintenance (PPM) and reactive maintenance contracts for mechanical systems, including (but not limited to): heating systems (oil and gas), air conditioning and ventilation systems, commercial catering equipment, water management and sprinkler systems and dry risers.\n, • Review servicing, inspection and testing reports, determine compliance status and formally instruct remedial works where required.\n, • Ensure all statutory, servicing and certification documentation is submitted accurately, reviewed, recorded and retained within required timescales.\n\n Audit, Assurance and Risk Management \n\n • Conduct audits of contractors to ensure compliance with statutory duties, contract specifications and Council procedures.\n, • Identify non conformances, service failures or areas of risk and report findings to the Senior Compliance Officer with recommended corrective actions.\n, • Undertake root cause analysis of compliance related incidents, system failures or recurring non conformances, identifying gaps in processes, training or contractor performance.\n, • Contribute to internal and external audit processes, including the provision of evidence, action plans and follow up reporting.\n\nPlease note that interviews for this post will take place week commencing 20 July.\n Please note, we are currently unable to offer sponsorship for this post. Skills & Experience Required Key Duties and Responsibilities - Continued \n Asset and Data Management \n\n • Develop, maintain and continuously improve an accurate asset register for all mechanical systems and associated equipment across the estate.\n, • Ensure the availability and maintenance of up to date drawings, schematics and supporting technical documentation.\n, • Provide compliance data, key performance indicators (KPIs) and reports to support operational planning, asset management and corporate reporting.\n\n Procurement and Financial Oversight \n\n • Assist in the procurement of competent contractors, consultants and risk assessors, supporting tender specifications, evaluation and mobilisation.\n, • Validate contractor applications for payment, ensuring works have been completed to the required standard and in accordance with contractual and compliance requirements.\n\n Collaboration and Support \n\n • Work collaboratively with colleagues across Property Services and the wider Council to support compliance, asset planning and service delivery.\n, • Provide support to other planned preventative maintenance disciplines as required to support team resilience and service needs.\n, • Escalate significant compliance risks, safety concerns or systemic issues in a timely manner, recommending proportionate mitigation measures.\n\n Essential Requirements \n\n • Qualified Gas Engineer and/or Plumbing & Heating Engineer, or HNC in Building Services or a related discipline.\n, • Substantial experience working with mechanical systems within a building services or estates environment.\n, • Detailed knowledge of statutory and regulatory compliance requirements for mechanical systems.\n, • Proven experience in managing contractors and monitoring compliance and performance.\n, • Strong planning and organisational skills, with a demonstrable ability to manage workloads and meet strict deadlines.\n, • High level of attention to detail; accuracy is a critical and non negotiable requirement for this role.\n, • Experience producing compliance reports, performance data and audit information.\n, • Proficiency in IT systems, including Microsoft Office and asset or facilities management systems (e.g. CAFM).\n, • A valid UK driving licence as this post requires you to travel to locations throughout the Perth & Kinross Council area\n\n Desirable Requirements \n\n • Commercial Gas Qualifications – CODC1, CIGA1, CORT1, TPCP1 & TPCP1A\n, • Legionella Awareness Training.\n, • Knowledge of the Water Supply (Water Fittings) (Scotland) Byelaws 2014.\n, • Experience working within a public sector, local authority or large multi site estate.\n, • Experience contributing to Planned Maintenance or Asset Management programmes.\n\n Working For Us \n In return, we offer excellent terms and conditions including generous holidays, flexi-time, a pension scheme, supportive management and flexible working arrangements to help you achieve a healthy work life balance. Full details can be found at https://www.pkc.gov.uk/employmentinformation \n The successful candidate will have access to training and development opportunities to support continued professional development. Working at Perth & Kinross Council Our values and behaviours influence our work and support us in the delivery of our key priorities. In your application, and should you be invited to interview, you will be asked to describe situations that support the criteria required in the role and which also demonstrate our values and behaviours. Find out more about Perth & Kinross Council and you could soon be joining our team! \n Here's what we can offer you: \n\n • A generous annual leave package\n, • 6 days public holiday and an additional discretionary day\n, • Eligibility to join our pension scheme\n, • Family friendly and positive work/life balance policies such as Flexible Working, Maternity, Paternity & Adoption leave, time off for volunteering and our Wellbeing Framework\n, • Flexi time\n, • Access to a range of benefits\n\n We recognise there can be benefits to flexible working and where individual jobs allow, we seek to support this. You are encouraged to discuss potential options with the recruiting manager, if this is of interest to you. A healthy work life balance is important to us and we provide supportive management and, where possible, flexible working arrangements to help you achieve that balance. You will have access to training and support for continued professional development. \n For purposes of connection and collaboration with colleagues and with the community we serve, our full-time employees work on site for a minimum of 2 days per week with the arrangements for part time employees being agreed on a basis which will ensure that they benefit to an equivalent degree. \n Our FAQs on hybrid working can be found here Hybrid working FAQs \n We are committed to being a more inclusive employer - to ensure we can consider any reasonable adjustments, please either contact the recruiting manager to discuss any individual circumstances, discuss at interview or, if you prefer, after any conditional offer is made. \n All new employees have a four-month probationary period. Further details are available in the FAQs at “How to apply for a job or apprenticeship with us”. Next Steps We would love to hear from you and would encourage you to get in touch with Lynn McGeorge, Property Compliance Team Leader on 07747 631036 or by email at LEMcGeorge@pkc.gov.uk to find out more. \n Click “APPLY NOW” \n External candidates are required to provide contact details for 2 references, including email addresses. One of these must be your current or most recent employer. \n We welcome applications from everyone and as a Disability Confident employer, we guarantee to interview applicants who declare a disability and meet the essential requirements of the post. Please contact the hiring manager above or the Recruitment Team on (01738) 475555 or recruitment@pkc.gov.uk to discuss any reasonable adjustments. Appointments are based on evidence supplied during the selection process. \n Diversity is important to us and although some of our jobs may be perceived to be traditionally gender specific, we welcome applications from everyone and would encourage you to apply if you meet the job requirements. That includes welcoming applications from former armed forces personnel/reservists. Many of the skills picked up during your military career could be transferred directly into a role with local government. \n To comply with Baseline Personnel Security Standard, you will be required to complete a Disclosure Scotland check. \n If you have lived overseas for a period of 12 months or more (continuous or total) within the last 5 years, an Overseas Criminal Record Check will be required. You will be required to provide this check. \n A confirmed offer of employment and commencement in the post will be subject to the outcome of the above mentioned mandatory pre-employment checks (including references) and will also include eligibility to work in the UK, qualifications and fitness to undertake the post.

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. AI/ML Engineer DOHE Global is using AI to reshape how startup consulting works. AI analyzes coaching sessions and generates reports, matches startups with the right experts, and in the long run, AI Agents will deeply analyze Problem-Solution Fit. This team turns all of that into reality. This is not a prompt engineering role. You'll design and build end-to-end AI pipelines — recording → transcription → summarization → coaching report. Fine-tune LLMs for domain-specific models and architect Multi-Agent systems. [한국어] About Us DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. · Build the end-to-end pipeline: recording → transcription → summarization → coaching report · Auto-generate Pre-Diagnosis Reports from survey responses and startup data · Design expert matching algorithms using startup profiles and diagnosis results · Architect and implement Multi-Agent systems · Fine-tune LLMs and train domain-specific models · Design prompts, build evaluation frameworks, manage model versions, and run A/B tests · Intensive Hands-on ML/AI experience · Building applications with LLMs · Model fine-tuning experience mandatory · Python-based AI/ML pipeline design and implementation · Hands-on experience with agent frameworks · NLP fundamentals and speech-to-text integration experience · Business-level English fluency required — daily collaboration with a global team · True believer in AI. You're convinced AI can genuinely change how people work — and you want to build it. · Pipeline thinker. You see the full flow: collection → preprocessing → model → serving → monitoring. · Experiment-driven. You thrive on rapid hypothesis → experiment → measure → improve cycles. · Domain-deep. You want to understand startup incubation deeply and design AI tailored to it. Tech Stack Language Python 3.11+ LLM GPT-5 · Claude · Gemini Framework LangChain · LangGraph · FastAPI ML PyTorch · Hugging Face Transformers STT Whisper · Google Cloud STT Vector DB Pinecone · Weaviate MLOps MLflow · Weights & Biases Infra AWS SageMaker / GCP Vertex AI · Docker DOHE Global은 AI로 스타트업 컨설팅의 패러다임을 바꾸고 있습니다. 코칭 세션을 AI가 분석하고 리포트를 생성하며, 스타트업과 전문가를 AI가 매칭하고, 장기적으로는 AI Agent가 Problem-Solution Fit을 심층 분석합니다. 이 모든 것을 현실로 만드는 팀입니다. 프롬프트 엔지니어가 아닙니다. 녹취 → 전사 → 요약 → 코칭 리포트라는 엔드투엔드 AI 파이프라인을 설계하고 구축합니다. LLM 파인튜닝으로 도메인 특화 모델을 학습시키고, Multi-Agent 시스템을 아키텍팅합니다. · 녹취 → 음성 전사 → 요약 → 코칭 리포트 자동 생성 파이프라인을 구축합니다 · 설문 응답과 스타트업 데이터 기반으로 Pre-Diagnosis Report를 자동 생성합니다 · 스타트업 프로필과 진단 결과를 활용한 Expert 매칭 알고리즘을 설계합니다 · Multi-Agent 아키텍처를 설계하고 구현합니다 · LLM을 파인튜닝하고, 도메인 특화 모델을 학습시킵니다 · 프롬프트 설계, 평가 체계 구축, 모델 버전 관리, A/B 테스트를 수행합니다 · ML/AI 실무 경력 · LLM 기반 애플리케이션 개발 · 모델 파인튜닝 경험 필수 · Python 기반 AI/ML 파이프라인 설계 및 구축 경험 · Agent 프레임워크 실무 경험 · NLP 기초와 음성 인식 서비스 연동 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · AI의 가능성에 진심인 분. AI가 사람들의 일하는 방식을 실제로 바꿀 수 있다고 믿고, 그것을 직접 만드는 분입니다. · 파이프라인을 보는 분. 모델 하나가 아니라, 수집 → 전처리 → 모델 → 서빙 → 모니터링 전체를 설계하는 분입니다. · 실험을 즐기는 분. 가설 → 실험 → 측정 → 개선 사이클을 빠르게 돌리는 것이 즐거운 분입니다. · 도메인에 깊이 들어가는 분. 스타트업 인큐베이팅이라는 도메인을 이해하고, 거기에 맞는 AI를 설계하는 분입니다. Language Python 3.11+ LLM GPT-5 · Claude · Gemini Framework LangChain · LangGraph · FastAPI ML PyTorch · Hugging Face Transformers STT Whisper · Google Cloud STT Vector DB Pinecone · Weaviate MLOps MLflow · Weights & Biases Infra AWS SageMaker / GCP Vertex AI · Docker Language Python 3.11+ LLM GPT-5 · Claude · Gemini Framework LangChain · LangGraph · FastAPI ML PyTorch · Hugging Face Transformers STT Whisper · Google Cloud STT Vector DB Pinecone · Weaviate MLOps MLflow · Weights & Biases Infra AWS SageMaker / GCP Vertex AI · Docker Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based or open to global applicants, • Contract: Fixed Term Contract

About the Role We are seeking an exceptional, AI-native Senior+ Product Manager to build and lead the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries. This role owns the systems that define pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions. You will design and scale model-driven infrastructure that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, adaptive, and trusted. The work you do will directly shape partner economics, supplier transparency, and HTS’s global commerce platform. What would your day-to-day look like: Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection. Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics. Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners. Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms. Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale. Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure. An ideal candidate has: 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production. You have built and scaled systems where AI is foundational to product behavior — not an additive feature. Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it) Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies. Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale. Strong fluency with SQL and large-scale transactional datasets. Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks. Deep understanding of marketplace economics, revenue mechanics, and pricing strategy. Track record of delivering complex, cross-functional systems with measurable business impact. Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders. Bonus: Prior experience in Data Science, Engineering, or a highly technical role. Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments. Perks and benefits of working with us: Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages. Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health. Automatic contributions when you start with Hopper through Smart Pension. Please ask us about our very generous parental leave, much above industry standards!. Access to co-working space on demand through FlexDesk AND Work-from-home stipend. Carrot Cash travel stipend. Unlimited PTO. Entrepreneurial culture where pushing limits and taking risks is everyday business. Open communication with management and company leadership. Small, dynamic teams = massive impact. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.. Come take off with us! #LI-REMOTE

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages, • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields, • You have at least 3 years of professional iOS/macOS development experience, • Your level of English is advanced (C1) or above, • Mid-level proficiency in Swift 5.9+, including SwiftUI, Combine, async/await, and the concurrency model, • Hands-on experience with testing frameworks (XCTest, Quick/Nimble) and UI automation testing, • Proficiency with Xcode, Swift Package Manager, and CI/CD tools (Fastlane, GitHub Actions, Xcode Cloud), • Experience with App Store deployment and monitoring tools (Crashlytics, Firebase), • Strong understanding of architectural patterns (MVVM, Clean Architecture) and performance optimization (ARC, Instruments), • Experience integrating AI/ML capabilities (Core ML, Vision, Create ML), • Practical use of AI-assisted tools for code generation, refactoring, and test automation, • Strong skills in crash analysis, memory debugging, and performance profiling, • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $44/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We’re building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy’s catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: • Product categorisation, • Product data quality and completeness, • Pricing competitiveness insights, • Catalogue coverage and selection, • Product discoverability This is a hands-on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you’ll be responsible for You’ll take ownership of how product data is structured, validated, and used across the platform. This includes: • Improving how we classify and understand products at scale, • Raising the overall quality of catalogue data and defining what “good” looks like, • Ensuring product data supports effective search, filtering, and discovery, • Identifying gaps in our catalogue and surfacing opportunities for growth, • Improving how our catalogue performs across external channels, • You’ll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data. You’ll work across: • Structured data (catalogue attributes, GTINs, taxonomy), • Unstructured data (text and images), • Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You’ll work closely with engineering, product, and analytics, but you’ll be expected to own and deliver the core logic yourself. This role is not focused on research or offline modelling. You’ll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills • Experience building and shipping production data or ML systems with measurable business impact, • Strong Python and SQL skills, with the ability to work across data pipelines end-to-end, • You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and taking them from experimentation into production with proper evaluation, monitoring, and cost control., • Experience working with messy, unstructured or semi-structured data (e.g. text, images, product data), • Ability to design systems that make decisions, not just predictions, • Strong judgement in balancing accuracy, risk, and business impact, • Experience with ecommerce or marketplace catalogues is a plus, but not required. How you’ll operate • Take ownership of problems end-to-end, from idea through to production impact, • Build systems that are scalable, testable, observable, and auditable, • Design automation with confidence thresholds, monitoring, and feedback loops in mind, • Maintain clear documentation, evaluation frameworks, and versioning for models and logic, • Work pragmatically, favouring simple solutions that deliver impact quickly, • Communicate trade-offs clearly to technical and non-technical stakeholders, • You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving., • You’ll be working across cloud-based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial. The salary on offer for this role is £65000- £75000 depending on experience. We also offer the following benefits: • Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build., • 25 days annual leave + Bank Holidays, • 1 extra day off for your Birthday, • Employee Assistance Programme, • Perks at Work benefit platform, • Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up — we never use WhatsApp. or any messaging apps to contact candidates If someone reaches out this way, it isn’t us and let the recruitment team know.

B2B broker partners (e.g., enhancing the broker program, integrations, liquidity, or intermediary services). As the global financial ecosystem increasingly integrates digital assets into traditional brokerage models, we are seeking a strategic Business Development Manager to lead our B2B broker expansion. You will be the primary architect of our Broker Program, bridging the gap between our world-class liquidity and the institutional intermediaries who require it. You will own the end-to-end growth of our broker partnerships. This is a mission-critical role where you aren't just selling a platform; you are building the infrastructure that allows other financial institutions, fintechs, and brokers to offer digital assets to their own client bases. Your work will directly define our market depth and institutional footprint in the region. • Identifying and developing new partnerships with Brokers., • Grow Crypto.com’s broker program to meet the KPIs and OKRs., • Maintaining and strengthening relationships with current brokers., • Providing timely customer service and issue resolution for Brokers., • Drafting and closing ROI centric partnership agreements with Brokers., • Attending industry events to engage with Brokers., • Monitoring and utilizing opportunities in the market landscape/competitor trends within the broker space., • Network of contacts in the brokers/fintech intermediary space., • 4+ years of experience in B2B partnerships, API integrations, or broker programs in finance/crypto., • Demonstrable track record of initiating, managing & monetizing relationships with clients or partners eg. driving ;business results with clients & partners, drafting documentations & agreements;, • Excellent command of professional written & oral English (plus local language), writing & presentation samples are welcomeWe may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.

3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most important part of their businesses - their people. Enter Sona: the next generation of AI-native, frontline workforce management. We've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more intelligently and empower their teams. In under 5 years, we've already made a deep impact on the lives of over 100k frontline workers and the operation of their organisations, grown the team to 140+, and secured over $100M in funding from notable VC's, including our Series B led by N47 alongside Felicis, Northzone, and Gradient Ventures (Google). It's a hugely exciting time to be joining the team as we're still small enough that you'll have a significant impact on the company's growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits in place. More on working at Sona here. About the Role You'll join a two-person ML team that has built a production forecasting system running daily half-hourly predictions across multiple restaurant chains. Our forecasting models enter into a complex environment with key machine and human decisions being made on their predictions, facing feedback loops and a highly variable environment. The system works - the challenge now is scaling it from a handful of clients to 100s. You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards. You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food. You'll love this role if: You enjoy taking ownership of the product and outcome end-to-end. Machine learning at Sona is a success if we have happy clients running successful businesses as well as the models which are best in industry You have a focus on solving the problem and when given the choice between "complicated and shiny" vs "get something simple in front of a user", you choose the latter You're excited by working with our industry experts to really understand what's happening in our client's businesses and the realities of working there You see beyond the data to the world that resulted in this data generating process, the issues that come with it and the opportunity that it gives us You're experienced in and excited by taking a machine learning project from business idea to deployed production system You default to AI tools for development. You use Claude Code, Cursor, or equivalent daily - not as a novelty, but as your standard working mode Our role won't be for you if: You're hoping to do research and publish research papers as a key element of the work that you do You're looking to move into a less technical, more managerial role You're keen to get your hands on fancy new technology X and apply it to something You prefer to work on one thing and make it perfect before moving on - the role requires pragmatism, parallelism, and iterative improvement Requirements You'll need these skills/experience to be successful: Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring Strong ML fundamentals - you can reason about trade-offs in practice, explain why certain features matter more than model selection, and make good judgement calls when something unexpected happens Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn) Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode It would be great if you have experience in some of these areas too: Forecasting, time-series, or demand-planning - someone who understands lag features, calendar effects, and evaluation integrity intuitively will ramp significantly faster Our stack: Python, scikit-learn, MLflow, Docker, GCP A small team where ownership is wide and context-switching is normal Benefits Salary: £95,000-£110,000 Fully remote (European timezones) Share options 35 days annual leave (25 days standard plus 10 flexible public holiday days) Extra day of leave for every year of service Pension contributions matched up to 5% Comprehensive health insurance Enhanced parental leave & pay Co-working space stipend for those based outside London Bi-annual all expenses paid team retreats The latest Macbook and equipment budget for your home office Professional development budget Unlimited free books Note: this represents a typical benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Semantic Understanding, you will lead a development team focused on extracting rules from the environment that influence driving behaviour. Initially, these will feed into ADAS functions such as lane assist, traffic sign detection, and ODD classification, as part of our ADAS One-Stop Shop product. Our AV2.0 approach to ADAS outperforms the current systems available in the market, enabled by large volumes of data, edge filtering, and validation at scale. We are looking for a system-oriented leader with cross-functional experience to bridge this world of conventionally perception-based features to end-to-end learning. Key responsibilities: • Help define and drive the Semantic Understanding roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience developing ML systems., • Experience with perception systems, trained and deployed at scale., • Experience with offline autolabelling., • Experience with performance evaluation of embodied AI systems., • Development experience in Python., • Experience developing ADAS functions. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

OneClickComply is changing how cybersecurity and compliance is achieved by small and medium sized businesses by automating thousands of technical tasks at the click of a button. We're backed by a leading Venture Capital investor and work from our state-of-the-art office in Sunderland. Description: • Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks., • Build, integrate, and maintain machine learning models/solutions—from data pipelines to API deployment and user-facing delivery., • Collaborate with product managers, compliance experts, and engineers to translate business needs into intelligent technologies., • Build robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows., • Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement., • Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met., • Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation., • Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems. Qualifications: • 3+ years of production experience delivering fullstack AI/ML applications., • Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask)., • Experience with frontend frameworks: React, Vue, or Angular., • Practical expertise in building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services., • Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD., • Experience with prompt engineering, LLM evaluation, and vector databases (Pinecone, Weaviate, FAISS)., • Excellent communication skills and experience working cross-functionally. Benefits: The OneClickComply team are integral to the 100% customer satisfaction we have here, and as such we offer one of (if not) the best benefits packages for our team. ❤️‍🩹 Wellness & Healthcare • 👩‍⚕️ 24/7 GP appointments for you & family, • 🗣️ Unlimited counselling & mental health support, • 💪 Virtual gym classes & discounts, • 🦵 Virtual physiotherapy & 👁️ unlimited eye tests, • 🫰 Subsidised health insurance, • 🤝 Care & special needs advice, • 🐶 25% off video vet consultations 🗓️ Leave Entitlements • ✈️ 33 days paid annual leave, • 🏠 Unlimited leave (sabattical anyone?), • 🤢 10 days company sick pay, • 🎂 Paid day off for your birthday, • 🐹 Paid pet bereavement leave, • 🚸 Half-day off for your child’s first school day 💴 Financial Benefits • 🏪 4,000+ retailer discounts, • 📞 Personal finance advice, • 🥇 £1,000 monthly lottery, • 🎞️ 40% off cinema tickets, • 💹 Share options, • 🎽 Charity match donations, • 🚘 Driving Lesson Contributions, • 💵 Interest-Free Loans, • 🚂 Travel pass advances 🍕 Food & Social 🍹 Unlimited free drinks in the office (catered to you on request!) & 🍴 monthly team meals

Description Location: Remote - UK working hours Remote | Full-time Compensation: £90K - £110K We are hiring on behalf of our client, a high-performance financial technology organization specializing in advanced integration service products. The client develops and delivers an innovative, hosted integration platform that enables global financial institutions to maintain a flexible operational infrastructure without requiring internal engineering resources to address connectivity challenges across diverse trading venues. The successful candidate will join a multi-disciplinary Site Reliability Engineering (SRE) team that actively champions a comprehensive automation culture. The mandate of this department is broad and impactful, covering everything from desktop and laptop infrastructure support to sophisticated data center server provisioning and global vendor network connectivity. While each team member brings distinct areas of technical specialization, the department operates under a shared-responsibility model for the entire production environment. The client is seeking a collaborative, growth-oriented professional who can meaningfully contribute to operational excellence while continuously developing their technical capabilities. Key Responsibilities • Automated Infrastructure Provisioning: Architect and build automated provisioning systems for global server and network architectures across both physical bare-metal environments and public cloud infrastructure (AWS, GCP)., • Continuous Delivery Pipeline Management: Evolve, maintain, and optimize the Continuous Delivery (CD) pipeline responsible for provisioning servers, configuring network switches, and deploying core software updates., • External Stakeholder Interfacing: Interact directly with hardware vendors, telecommunications providers, and external financial institutions to manage connectivity and optimize remote operations., • Collective System Ownership: Take shared ownership of the stability, performance, and monitoring of the end-to-end production environment alongside a tight-knit engineering team. Requirements Core Technical Competencies: • Foundational Coding Capability: Practical experience with software engineering is required. While expert-level software engineering is not mandatory, proficiency in basic programming within a language of choice is necessary to construct functional code and utilities independently., • Infrastructure Automation: Demonstrated experience working with software automation tools (specifically Ansible), combined with the coding agility needed to automate all configuration environments., • Systems & Network Administration: Proven experience operating as a Systems Administrator or Network Engineer, paired with a balanced, comprehensive understanding of both domains. Professional & Interpersonal Attributes: • A constructive, open-minded, and self-motivated approach to technical problem-solving., • A strong belief in lifelong learning and an awareness of evolving technologies., • High professional autonomy, with a proven ability to take the initiative within a collaborative, team-oriented ecosystem., • Experience managing third-party relationships, negotiating with vendors, procuring hardware, and supporting remote workforce initiatives via phone and email. Preferred (Non-Essential) Qualifications: • Familiarity with enterprise Authentication Protocols (e.g., SAML, OAuth2, Active Directory, Kerberos)., • Technical proficiency in Microsoft and Azure Active Directory., • Hands-on exposure to Database High Availability (HA) frameworks, including clustering and replication models (e.g., PostgreSQL). Benefits • Competitive Base Compensation: Up to £110,000 per annum, commensurate with experience and skill set., • Equity Participation: Allocation of company share options., • Corporate Benefits: A comprehensive standard benefits package., • Workplace Flexibility: Remote-first working philosophy with flexible arrangements within the UK and Europe, complemented by a modern workspace in Moorgate, London. Interview Process The client utilizes a transparent, structured four-stage evaluation process to ensure deep alignment across technical competencies and professional values: • Initial Screening Call: An introductory conversation with the Talent Acquisition/HR team to evaluate background, operational scope, and career trajectory., • Hiring Manager Interview: A 1-hour in-depth technical domain screen focusing on core systems engineering, network topology, and architecture principles., • Technical Evaluation: A 2-to-3-hour practical interview incorporating a live coding and infrastructure automation exercise., • Executive Interview: A final strategic conversation with the firm’s three Founders to discuss corporate vision and collective cultural fit. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

At RemoteStar, we're currently hiring for one of our clients based in Houston, TX. Years of experience: 3 to 5 years Location: USA About Client: A fast-growing US-based SaaS company is transforming how energy firms manage operations. Their end-to-end ERP platform streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency. With a strong client base and innovative tech, they’re redefining digital transformation in the energy and utilities sector. You’ll design and implement AI-driven functionality that improves automation and user experience. This includes leveraging LLMs, machine learning models, and modern AI tooling within a production SaaS environment. This is a hands-on role for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows, • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use, • Collaborate with Product to translate business problems into AI-driven solutions, • Build and maintain scalable backend services to support AI functionality, • Profile, test, and optimize performance of AI-integrated systems, • Ensure reliability, security, and cost-efficiency of AI components in production, • Contribute to architecture decisions around AI integration and system design, • Partner with engineering teams to embed AI into existing applications without degrading stability Requirements • 3+ years of experience as a software engineer in a SaaS or cloud-based environment, • Strong backend engineering experience (RoR and/or Golang preferred), • Experience integrating APIs and working within distributed systems, • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar), • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow, system design, and performance optimization, • Experience with relational databases (SQL Server or similar), • Familiarity with microservices architecture, Kubernetes, and CI/CD pipelines, • Experience deploying applications in Azure or similar cloud environments, • Strong problem-solving skills with ability to work in ambiguous, fast-moving environments, • Builder mindset—someone who can take an idea and turn it into a working feature quickly, • Pragmatic approach to AI (focus on value, not hype), • Ability to work independently in a contract environment while collaborating closely with internal teams • Strong communication skills and ability to explain AI concepts to non-technical stakeholders Preferred • Experience with prompt engineering, embeddings, or retrieval-augmented generation (RAG) • Exposure to model evaluation, fine-tuning, or AI performance monitoring, • Experience with event-driven architectures or real-time data processing, • Background in energy, fintech, or other complex data-driven industries

SALARY: £34,000 per annum HOURS: 37.5 hours working Monday - Friday LOCATION: Minimum 2 office days (Albert Road) with flexibility to attend events & meetings across all BWC locations throughout the week as required. Talent Acquisition Partner About Bristol Waste Company: At Bristol Waste we not only take care of the city, keeping it clean and safe for our residents and customers, we are now working across the region. We visit every home in Bristol, clean every street, look after schools, civic buildings and commercial buildings. You will see us collecting the waste and recycling, cleaning the streets, running the recycling centres, removing graffiti, cleaning buildings, providing security services and much more. We even grit the roads in the winter and clear fly-tips. Some only see us as a waste and facilities management business, but we see things differently. Our role is to improve the lives of those who live, work, or visit Bristol – and beyond – and to protect the environment. Purpose of the role: To deliver an efficient, fair, and engaging recruitment process that supports operational delivery, strengthens Bristol Waste Company's reputation as an employer of choice, and contributes to our People Strategy through community engagement and inclusive hiring practices. Key Responsibilities: Strategy & Planning • Maintain and update workforce plans for each business area, ensuring resourcing requirements are met to support service delivery., • Review recruitment processes regularly and recommend improvements to enhance efficiency, inclusivity, and candidate experience., • Identify and implement cost-effective recruitment solutions without compromising quality or candidate experience. Recruitment Delivery • Manage the end-to-end recruitment process-from vacancy approval to offer-ensuring an efficient service and a positive candidate experience., • Conduct recruitment campaign meetings with hiring managers, providing creative and tailored solutions to attract talent., • Select appropriate advertising channels and methods relevant to each vacancy, balancing reach and cost-effectiveness., • Utilise tools to proactively source passive candidates and build talent pipelines., • Develop and maintain question banks for each job role and recommend suitable assessment methods(e.g., presentations, practical exercises)., • Handle and maintain recruitment documentation to demonstrate fairness, equal opportunities, and compliance with employment legislation. Stakeholder & Manager Support • Train and develop hiring managers on key aspects of the recruitment process, ensuring fairness and consistency., • Provide guidance on assessment methods and candidate evaluation. Employer Branding & Attraction • Collaborate with the Marketing & Communications team to promote Bristol Waste Company as an employer of choice., • Optimise the use of social media for talent attraction and brand visibility., • Represent the business at recruitment events, particularly those focused on local communities., • Develop and maintain relationships with external partners that support the People Strategy. Agency & External Partnerships • Manage relationships with preferred agency suppliers, driving quality and compliance while monitoring cost efficiency., • Champion inclusive hiring practices and support diversity initiatives. Essential Requirements for the Role: • Strong stakeholder management and interpersonal skills, • Excellent communication and influencing abilities, • Ability to manage multiple priorities in a fast-paced environment, • Creative approach to talent attraction and employer branding, • Data-driven mindset for reporting and process improvement Knowledge • Recruitment best practices and candidate sourcing techniques, • Employment legislation and compliance requirements, • Proficiency in ATS systems (e.g., GoHire), sourcing tools, and social media platforms, • Understanding of assessment methods and fair selection processes, • Awareness of diversity and inclusion principles in recruitment Experience • Previous experience in high-volume recruitment or similar environment, • Experience managing agency relationships and recruitment campaigns, • Familiarity with community engagement and diversity initiatives, • Proven track record of delivering cost-effective recruitment solutions Full Job Description can be provided upon request. Our Benefits: • Annual leave package of 25 days plus 8 bank holidays., • Employer contribution of 5% into the company pension scheme., • Support for Mental Health, including a BUPA Employee Assistance Programme that provides support covering Mental Health, Financial and Family related topics. We also have Mental Health First Aiders across the business., • Support for your Physical Health with our BUPA Health Cash Plan (we cover the cost of coverage for you), Cycle to Work scheme and an onsite Physiotherapist. All are free for our colleagues., • Because we value our colleagues, we want to recruit more employees just like them, which is why we have our employee referral scheme., • Dedicated learning and development team. We take pride in developing our colleagues and some examples of this include our In-House Driver Development Programme and internal promotions. Many of our Senior Leadership Team have developed from Operational roles, such as one of our Contract Managers who started as a Street Cleanser., • Employee recognition ‘Stand Out Award’ and long service awards. To celebrate our colleagues wherever they are on their journey with us, we recognise and celebrate talent., • We recognise that everyone is different and strive to create an environment that supports all colleagues through flexible working. We have introduced a hybrid working model where possible and actively encourage part-time working, job sharing and flexibility on hours. If this interests, you please do get in touch, and we can start a conversation. Everyone belongs: At Bristol Waste everyone belongs – we are proud of being a truly inclusive organisation. We give fair and equal consideration to all applications. We encourage and welcome applications from people of all ages, genders ethnicities, nationalities, disabilities, religions or beliefs and of neuro divergence. Important note on applying: • Please apply as soon as possible and before 23:59 on the closing date. Sometimes we close vacancies early if we receive a high number of quality applications., • Due to the high volume of interest, we won’t be able to receive late applications and we are currently unable to respond to all who apply., • If you haven’t heard from us within three weeks of the closing date, it unfortunately means you won’t be invited to interview on this occasion. Thank you for your interest in joining Bristol Waste Company.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform. We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally. Additionally, this role will work closely with our cross functional partners to help develop our fraud detection and decisioning systems. • Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals., • Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies, • Report on fraud trends and loss drivers to cross functional partners and senior management, • Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner, • Work together with our operations team to help limit losses and ensure optimal review volumes, • Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities, • Assist with team planning and goal setting as well as coaching and mentorship of more junior team members, • 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics., • Product knowledge - Passion to understand how the product works and how to change it to make it more effective, • Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity, • Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues., • Technical skills - Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis, • Communication - Ability to build strong cross functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences, • Multi-tasking - Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics, • Industry knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development., • Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired Pay Grade - O Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £133,000 - £173,000 Location - Remote UK #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents, • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses, • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge, • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's _ and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

SALARY: £35,000 - £40,000 D.O.E HOURS: 37.5 hours per week, Monday - Friday LOCATION: Albert road/Avonmouth, Hybrid working Contracts & Materials Coordinator About Bristol Waste Company: What we do is important – we’re here to keep Bristol, and beyond, clean, and safe. We do this for our city’s residents, workers, visitors, and businesses. Our work helps deliver Bristol’s sustainability targets in partnership with the council. Bristol Waste’s commercial operation, where we serve businesses and organisations across the region, is also growing. Our ambition is to provide good quality, value for money services, and we continue to deliver a social value impact worth more than £30 million every year. We want people who share our values and want to work with us to drive our business forward. Purpose of the role: To assist with the delivery of the waste operations and treatment services through the management, supervision and administration of various contracts. To assist with key data management and data reporting, budget monitoring and forecasting, along with management of the weighbridge systems. Key Responsibilities: • Supporting Material Sales Manager in all aspects of material offtake contract management arranging for the safe and cost-effective transfer and treatment of wastes, • Assisting with contractor monitoring and management, processing of contract and other payments, recording and manipulation of data., • Continuous updates and records maintained across all site weighbridges on internal system (Weightron), • Assist in the management and control of the weighbridge system, including monitoring of waste flows, data interrogation and manipulation, reporting, database administration, financial reconciliation, customer and user management., • Assist with key data management to include the collation and interrogation of data from internal and external sources, forecasting, data manipulation and presentation of data., • Assist in the preparation and production of waste contract documents and specifications, selection of tenderers, tender invitation and evaluation., • Assist in the sale and supply of materials, including market analysis and monitoring, engaging the market for prices, arranging collections, administering payments, general record keeping and administration., • Assist with budget monitoring, control and forecasting., • Keep abreast of waste management legislation, • Deputise for Materials Sales Manager as required., • Regular Duty of Care visits to our material processors are completed in accordance with our BMS (Business Management System) Essential Requirements for the Role: • Minimum of 3 years contract management and contract administration experience, • A degree or equivalent experience, • A full UK driving license, • Knowledge and experience in weighbridge applications to include data base management, user access control, billing functions, reporting and analysis, • Experience of contract management in a waste environment, • Knowledge of relevant waste legislation, • Ability to analyse complex information and present it logically, • Excellent data interrogation skills, • Excellent and effective written and verbal communication skills, • Organised and self-motivated with the ability to work with minimal supervision, • Excellent organisational and time management skills, • Able to liaise and work with multi-disciplinary teams, colleagues and stakeholders, • Numerate, computer literate and excellent attention to detail, with practical experience of Microsoft Office products, in particular Word and Excel, • Able to pick up on systems management is critical in this role Full Job Description can be provided upon request. Our Benefits: • Annual leave package of 25 days plus 8 bank holidays., • Employer contribution of 5% into the company pension scheme., • Support for Mental Health, including a BUPA Employee Assistance Programme that provides support covering Mental Health, Financial and Family related topics. We also have Mental Health First Aiders across the business., • Support for your Physical Health with our BUPA Health Cash Plan (we cover the cost of coverage for you), Cycle to Work scheme and an onsite Physiotherapist. All are free for our colleagues., • Because we value our colleagues, we want to recruit more employees just like them, which is why we have our employee referral scheme., • Dedicated learning and development team. We take pride in developing our colleagues and some examples of this include our In-House Driver Development Programme and internal promotions. Many of our Senior Leadership Team have developed from Operational roles, such as one of our Contract Managers who started as a Street Cleanser., • Employee recognition ‘Stand Out Award’ and long service awards. To celebrate our colleagues wherever they are on their journey with us, we recognise and celebrate talent., • We recognise that everyone is different and strive to create an environment that supports all colleagues through flexible working. We have introduced a hybrid working model where possible and actively encourage part-time working, job sharing and flexibility on hours. If this interests, you please do get in touch, and we can start a conversation. Everyone belongs: At Bristol Waste everyone belongs – we are proud of being a truly inclusive organisation. We give fair and equal consideration to all applications. We encourage and welcome applications from people of all ages, genders ethnicities, nationalities, disabilities, religions or beliefs and of neuro divergence. Important note on applying: • Please apply as soon as possible and before 23:59 on the closing date. Sometimes we close vacancies early if we receive a high number of quality applications., • Due to the high volume of interest, we won’t be able to receive late applications and we are currently unable to respond to all who apply., • If you haven’t heard from us within three weeks of the closing date, it unfortunately means you won’t be invited to interview on this occasion. Contact us: Please contact our People Services team to discuss this role, your application, or any reasonable adjustments and support in applying for this position: • recruitment@bristolwastecompany.co.uk, • 0117 440 6676 Thank you for your interest in joining Bristol Waste Company.

About ProvectusAt Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.Who We're Looking ForWe're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. • Architect Product Strategy for Technical Platforms:, • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives., • Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases., • Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections., • Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: • Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems., • Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns., • Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments., • Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: • Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations., • Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns., • Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management., • Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories., • Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies., • Define sprint goals aligned with quarterly objectives and long-term product vision., • Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: • Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment., • Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience., • Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing., • Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction., • Required Qualifications:, • Bachelor's degree in Technology or Business related field (Master's preferred)., • 5-7+ years of experience in technical product management, solutions architecture, or software engineering., • 5+ years in product management roles with demonstrated end-to-end product ownership., • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development., • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies., • Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: • AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)., • Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures., • Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)., • MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking., • Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies., • Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: • Solution design and technical architecture capabilities., • Requirements translation from business needs to technical specifications., • Strong analytical thinking and problem-solving in complex technical domains., • Exceptional stakeholder management across technical and non-technical audiences., • Clear technical communication—documenting complex systems and presenting architectural decisions., • Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: • Prior software development or data engineering experience (3+ years)., • Background in consulting or professional services, delivering client solutions., • Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: • Insatiable curiosity about emerging technologies and a hands-on experimentation mindset., • Close attention to detail with quality focus and commitment to technical excellence., • Collaborative team player who thrives in cross-functional environments., • Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts., • Passion for mentoring engineers and elevating technical practices., • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms., • Shape how enterprises adopt AI — from strategy to architecture to delivery., • Grow within a team building modern AI-delivery practices, tools, and frameworks., • Remote-friendly culture with strong engineering, data, and consulting partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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