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The Problem Every major enterprise procurement deal - a mining company locking in steel supply, a manufacturer negotiating energy contracts, a retailer securing food commodities - lives or dies on one question: what will this cost six months from now? Today, that question is answered with spreadsheets, gut instinct, and analyst reports written days after markets have already moved. Billions of dollars in value are left on the table - or surrendered across the negotiating table - because procurement teams are flying blind on price. At Monq, we're building AI agents that negotiate high-value enterprise contracts - and we're expanding what that platform can do. The next frontier is price intelligence: giving procurement teams the foresight to know what a deal should cost before they even sit down to negotiate. That's what you'll build. What You'll Build This is genuinely 0-to-1. There is no existing model, no data pipeline, no baseline to iterate on. You're starting from a blank sheet - which means you'll need to be comfortable with ambiguity, scrappy about data sourcing, and confident making architectural decisions without a committee to approve them. In return, everything you build will matter immediately, and you'll own it completely. Concretely, you will: • Build multivariate commodity price prediction models from scratch. You'll work across energy, metals, agricultural inputs, and industrial materials — constructing models that capture the full complexity of cross-commodity dependencies, supply chain dynamics, macroeconomic signals, and geopolitical risk. This isn't univariate time series. This is structured, high-dimensional, real-world forecasting at a level that actually moves enterprise decisions., • Own the full modelling lifecycle. Feature engineering, model selection, validation strategy, uncertainty quantification, production deployment. You'll make the calls and live with the results - which means you'll learn fast., • Design forecasting architectures that go beyond the obvious. We're not looking for someone who fits an ARIMA model and calls it done. We want someone who knows when to reach for Gaussian processes, gradient-boosted ensembles, neural state-space models, or hybrid symbolic-statistical approaches - and, critically, knows why., • Integrate alternative data sources. Satellite imagery, shipping data, weather signals, procurement index feeds, news sentiment — the edge is often in the signal no one else has thought to use. You'll identify and incorporate these into production-grade pipelines., • Shape how predictions become decisions. The end goal is for your models to inform what Monq recommends inside live procurement negotiations. Getting there requires working closely with product and engineering - translating probabilistic outputs into something a procurement professional can act on in the moment, not just admire in a dashboard., • Bridge research and engineering to ship production-grade systems. You won't be throwing models over the fence. You'll work in close collaboration with our engineering team to take research from notebook to production - defining clean interfaces, writing model-serving code that engineers can build on, and making sure what you've validated in a research context actually holds up in a live enterprise environment. The expectation is that your work ships, not just publishes. You Might Be a Fit If • You have 6+ years of experience in applied data science or quantitative research, with a strong track record in forecasting or time series modelling in production environments (an ongoing PhD or track record of research would be wonderful to have), • You've worked on commodity, energy, or financial market price prediction - you understand basis risk, seasonality, mean-reversion, and regime shifts intuitively, • You're fluent in multivariate modelling: VAR/VECM, Bayesian hierarchical models, factor models, LSTM/transformer-based temporal architectures - and you can speak clearly to the tradeoffs between them, • You're rigorous about uncertainty. You know the difference between epistemic and aleatoric uncertainty, and you build that distinction into how you communicate predictions to stakeholders, • You're comfortable working with messy, heterogeneous, real-world data — incomplete time series, mixed frequencies, structural breaks, and sources that require significant wrangling before they're useful, • You can write production-quality Python and know how to deploy models in a way that engineers can actually build on, • You care about impact, not just accuracy metrics. A model that moves a negotiation outcome is worth more than one that wins a Kaggle leaderboard Nice to Have • Experience with causal inference methods applied to market dynamics (synthetic control, difference-in-differences, IV), • Familiarity with procurement indices (PPI, ISM, commodity spot/futures markets) and how to incorporate forward curve data, • Experience building real-time or near-real-time inference pipelines at scale, • Background in operations research or supply chain optimisation, • Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills We're Looking For This role sits at the intersection of classical econometrics and modern machine learning. You don't need to be a world-class expert in every area below - but you should be genuinely strong across most of them and honest about where you want to grow. • Supervised & Ensemble Methods. Gradient-boosted trees (XGBoost, LightGBM, CatBoost) for tabular forecasting; understanding of when tree-based models outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation., • Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms and when transformer-based sequence models are worth the complexity cost over simpler recurrent approaches., • Probabilistic & Bayesian Modelling. Comfort with probabilistic forecasting: quantile regression, conformal prediction, Monte Carlo dropout, or full Bayesian inference via PyMC or NumPyro. The ability to communicate uncertainty intervals credibly to non-technical stakeholders is as important as computing them correctly., • Feature Engineering at Scale. Lag features, rolling statistics, Fourier transforms for seasonality decomposition, target encoding with temporal leakage guards, embeddings for categorical market variables. You understand that the quality of your features usually matters more than the choice of model., • Model Evaluation & Validation. Walk-forward validation, purged k-fold cross-validation, backtesting under realistic execution constraints. You know why naive train/test splits are dangerous in time series and what to do about it., • MLOps & Productionisation. Experience taking models from notebook to production: experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, and retraining triggers. You can build a model that doesn't just work once - it works reliably over time as markets evolve., • Explainability & Interpretability. SHAP values, partial dependence plots, and the ability to explain model behaviour to procurement professionals who need to trust and act on predictions. Black-box accuracy means nothing if the model can't be interrogated when it's wrong. The Stack You'll have significant input into tooling choices: experiment tracking, feature stores, deployment infrastructure. We have strong engineering support and ship on AWS, but we're building the MLOps layer on the go and you'll help define it. We use AI coding tools - Cursor and Claude Code - as part of the daily workflow, not as a novelty. Why This Is a Rare Opportunity Most data science roles hand you a well-defined problem with existing pipelines and ask you to improve on a baseline. This one doesn't. There is no baseline. You'll spend real time figuring out what data is available, what's worth acquiring, and what's even feasible to predict - before writing a single model. That's harder than most JDs admit. But it also means your decisions have a direct and permanent impact on the direction of the feature we are developing. The procurement market is a $4.2 trillion opportunity that existing AI solutions have almost entirely ignored. If you can build something that genuinely predicts commodity price movements - even imperfectly, even partially - it changes what Monq can offer enterprise customers and how we compete. This is the kind of problem that a good data scientist can spend years on and still find interesting. About Monq Monq is building the first AI platform purpose-built for strategic procurement negotiation. We're early-stage and moving fast — backed by executives from Revolut and HSBC, working with enterprise customers, and actively building the team that will define what this product becomes. We're a small, flat team. We use AI tools not as a novelty but because they make us better and faster. We value simplicity, ownership, and shipping — and we're looking for people who hold themselves to high standards while staying pragmatic about what matters right now. Equal Opportunities Monq is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from people with diverse backgrounds and experiences. For accommodations during the recruitment process, please contact .

PUBLIC RELATIONS ACCOUNT MANAGER/SENIOR ACCOUNT MANAGER Our client is an exciting start-up with a creative approach. Specialising in traditional PR communications and influencer relations they help clients challenge perceptions and increase brand awareness for their range of exciting consumer brands that spans food & drink and lifestyle sectors. They are looking for a talented Account Manager, with a PR agency background who is smart and driven, they would also consider an SAM. Working as part of a creative family the role is perfect for someone who is keen to get stuck in and play an integral part in this agency’s continued success. Role and Responsibilities… • Produce client plans using insights as well as a solid industry understanding based on your client’s business and marketplace, • Ensure you have solid media contacts across a variety of titles and build a clear understanding of their requirements, developing rapport with key influencers and mid-level press contacts, • Input creative ideas into feature plans, continue to achieve appropriate feature coverage and learn to place case studies in the media, • Provide regular, accurate and concise progress reports back to your client, • Plan, coordinate and execute assigned elements of your clients PR plan (e.g. launches, press trip) to a high standard, adhering to deadlines and budgets., • Ensure you are the client’s day-to-day point of contact to cement a strong relationship, • Attend all client meetings and conference calls; offer up ideas and insight, • Work closely with your ASD on new business goals and make appropriate suggestions, • Oversee events, including planning, team management, budgeting, execution and analysis, • Keep your team updated on the progress work and provide assistance to your junior team Skills and Experience… • Excellent writing skills and experience of working on multi-layered brand campaigns, news generation as well as running press office/s, • Have a passion for media relations - with proven media contacts, • Experience of drafting consumer media strategies and sell-in plans - managing sell-ins, • Experience of working and briefing talent/ influencers teamed with an understanding of marketing channels, • A keen interest in current affairs and able to take an educated point of view on news stories that relevant to your clients, • A proactive, positive and confident approach to problem solving, • Demonstrate creative thinking to identify ideas, trends and newsjacking opportunities – enjoy contributing to brainstorms, • The desire to understand the business and build strong commercial awareness, • Strong IT skills - Microsoft Outlook, Word, Excel and Powerpoint

Are you passionate about Instagram, TikTok, and YouTube? Do you live and breathe social media content and strategies? Dream of working with thousands of top influencers and some of the world’s biggest brands? If yes, we’re a perfect match! At GIFTA, we’re revolutionising influencer marketing with our all-in-one gifting approach. From influencer selection and personalised fulfilment to tracking all content and ROI, we ensure every campaign delivers measurable value. Our model empowers nano and micro creators to share genuine, unscripted stories about the brands they love, building trust, engagement, and meaningful connections. Join us to reshape the future of influencer marketing. About GIFTA GIFTA is the UK’s leading influencer gifting company, specialising in authentic connections between brands and creators. Our all-in-one gifting approach manages every aspect of the process: selecting influencers that align with your brand, delivering beautifully personalised products, and tracking content and ROI through our advanced platform. This approach ensures influencers have the freedom to create honest content that resonates with their audiences, fostering trust and transparency. Our model is rooted in authenticity—much like the traditional method of sending products to journalists for reviews, helping brands build credibility through genuine storytelling. With a proven track record, we’ve worked with over 200+ brands, including L’Oréal, Unilever, P&G, Adidas, Kellogg’s, Tesco, and Heinz. We also pioneered the first chilled and frozen product distribution for influencers, enabling food brands to connect with niche audiences in innovative ways. Role Title: Account Executive Salary Range: £26,000 - £29,000 Location: London-based GIFTA is looking for a proactive Account Executive to act as the engine of our campaign delivery. You will manage the end-to-end administrative and logistical lifecycle of influencer gifting campaigns, ensuring seamless coordination between clients, influencers, and our warehouse team. Core Responsibilities • Pre-Launch & Campaign Setup: Establish the foundational operational framework for all campaigns, ensuring structural clarity and process definition to prepare for a successful launch, • Strategic Support: Strategically support Account Managers at the project's inception by formalising the client's strategic requirements and desired influencer preferences.., • Influencer Management & Outreach: Oversee and support the Influencer Management (IM) team during the campaign influencer outreach phase, • Box Content Coordination: Coordinate all gift package content and campaign additions, including merch, props, and customisation, ensuring full alignment between the client's vision and the warehouse team's execution., • Logistics & Warehouse Liaison: Facilitate seamless communication between clients and operations to ensure full transparency and alignment., • Campaign Execution & Insights: Monitor live content to identify high-performing trends and lead initial client communications once packages have been dispatched., • Reporting Support: Contribute to final campaign reports by overseeing performance tracking and content licensing. Required Skillset • Operational Excellence: Highly organised with the ability to manage a "Waterfall" workflow and multiple deadlines simultaneously., • Communication: Strong writing skills for drafting briefs and professional presentation skills for client-facing communications., • Technical Proficiency: Comfortable using (or quick to learn) Monday.com, Mailchimp, Typeform., • Creative Mindset: A keen eye for social media trends and an active interest in pop culture and influencer content. Benefits • 4-day work week (Fridays off), • 20 days annual leave, • Flexi-start and finish times, • Working Arrangement: 3 Days in the office Tuesday to Thursday, • Team socials, workout sessions, wellness activities, • Thursday team lunches, breakfasts, office snacks, • Industry events, company parties, and more exciting benefits on the way, • Two weeks per year working from anywhere

Are you a qualified Environmental Health Practitioner (BSc or MSc)? Want to spend your days out in the field working directly with clients instead of writing reports? As an EHP with Shield Safety you will:. Carry out food safety and health & safety audits across a wide range of hospitality and retai

Calibration Technician Purpose of the Role The Calibration Technician plays a vital role in delivering high-quality calibration and instrumentation support within a regulated, mission-critical environment. Initially, the role will focus on working closely with the principal contractor to develop documentation and support the client’s calibration and instrumentation requirements. Once the site is fully operational, the position transitions into a steady-state role, responsible for: Day-to-day service delivery Maintenance of critical test equipment Coordination of third-party calibration services Ensuring system accuracy, availability, and regulatory compliance Key Responsibilities Calibration & Instrumentation Services Deliver comprehensive calibration services for control and instrumentation systems across the site Carry out Planned Preventative Maintenance (PPM) and client-requested calibration activities Diagnose, rectify, and plan remedial works for faults on field instrumentation Procedures, Planning & Maintenance Develop, implement, and maintain site calibration procedures and maintenance strategies Define, manage, and review equipment tolerances for plant and process systems Identify test equipment requirements and suitable workspaces for calibration activities Maximise plant and user equipment availability through effective planned maintenance Technical & Project Support Provide technical expertise to support projects, commissioning, and system handover activities Lead Root Cause Analysis (RCA) and A3 investigations, producing structured, actionable reports Initiate and receive Permits to Work in accordance with site procedures and safety requirements Asset, Spares & Supplier Management Identify spare parts requirements, raise purchase requests, and manage stock levels Coordinate dispatch and return of test equipment to third-party calibration suppliers according to CMMS schedules Ensure all work orders are completed within contractual performance metrics and agreed timescales Collaboration & Support Work closely with the Systems Manager and site management team to support operational objectives Provide cross-team and cross-account technical support when required Accountabilities Reporting to: Systems Manager Key Interfaces: Site Management Team Direct Reports: None Budget Responsibility: None (financial awareness required) Person Specification Education Good general education with strong written and spoken English Basic mathematical competency Training & Qualifications Completed formal apprenticeship in Calibration and Instrumentation HNC/HND (or equivalent) in a relevant engineering discipline cGxP training (current Good Practice standards within regulated environments) Experience (Essential) Minimum 3 years’ experience in calibration and maintenance within a regulated industry (e.g., pharmaceutical, food processing, laboratory environments) Proven experience developing, writing, and maintaining calibration procedures Skills & Aptitudes Strong verbal and written communication skills High IT literacy, including experience with CMMS platforms Structured, methodical approach to fault-finding and technical documentation Personal Attributes Customer-focused with a commitment to high standards of service delivery Calm under pressure, able to make sound decisions in demanding situations Physically fit and capable of using vertical access equipment Comfortable working at height, including roof access when required Team-oriented, collaborative, and professional in approach