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Accounts Receivable Specialist £35,000 - £38,000 per annum + benefits Permanent | Hybrid (3 days office-based) Location: Borehamwood, Hertfordshire No Sponsorship is available for this role B2B with the NHS is essential We’re working with a respected healthcare services provider who needs a seasoned, hands-on Accounts Receivable Specialist to join a brand new, growing finance team in Borehamwood. This is not a “light admin AR” role. This is for someone who can take ownership, handle volume, and drive debt down properly. Billing can be taught to a degree, but strong credit control cannot, and that is the priority here. You’ll join a close-knit, collaborative team that values accuracy, accountability, and straight-talking communication. The wider business is a large corporate environment (circa £800m turnover), so you need to be comfortable working within a structured framework and dealing with high-value, high-volume payments. The Role This hybrid role (max 2 days remote after induction) gives you full ownership of the end-to-end Sales-to-Cash cycle, from invoicing and reconciliations through to credit control and cash allocation. You’ll work closely with internal teams and external funders to protect cash flow and keep the ledger clean. Expect a complex, manual environment with significant volume (around 2,500 bills per month). If you’re not daunted by numbers and you take pride in getting things right first time, you’ll do well here. Key Responsibilities • Take full ownership of end-to-end Accounts Receivable (Sales-to-Cash)., • Lead on credit control activity across NHS and local authority accounts, keeping aged debt tightly managed., • Act as the main point of contact for payment discussions, chasers, queries and dispute resolution., • Negotiate repayment plans where needed and keep detailed, accurate communication records., • Prepare and deliver accurate invoices aligned with contract requirements., • Upload invoices via customer portals or issue directly by email., • Liaise with internal validation teams to confirm billing data and resolve discrepancies fast., • Allocate cash, reconcile accounts, and support month-end close with debtor reporting., • Support audit requirements and maintain compliance with internal controls and external standards., • Contribute ideas to improve processes in a team that’s still building the “best way” of doing things. What We’re Looking For (Essential) • A seasoned AR specialist with extensive credit control experience (non-negotiable)., • NHS B2B experience is essential (local authority billing experience also highly relevant)., • Experience working in a large corporate / high-turnover business., • Comfortable handling high-value payments and high volumes of transactions., • Not daunted by a complex, manual billing environment (approx. 2,500 bills per month)., • Strong Excel skills (reconciliations, large datasets, reporting)., • Confident, personable communicator able to manage multiple stakeholders., • Detail-driven, organised, and able to meet tight deadlines without standards slipping., • You will have done your research and can speak confidently about why this company and role makes sense for you (beyond “it’s healthcare”). Nice to Have • Broader healthcare AR exposure (in addition to NHS billing)., • Process improvement mindset (this team is building and refining ways of working as, • £35,000 to £38,000 salary (depending on the strength of your credit control skillset)., • 33 days annual leave including bank holidays + your birthday off., • Company pension scheme and life assurance., • Wellbeing resources and 24-hour GP helpline., • Ongoing professional development and progression opportunities., • Hybrid working: minimum 3 days in the office, maximum 2 days from home (after induction)., • they scale). What’s On Offer • £35,000 to £38,000 salary (depending on the strength of your credit control skillset)., • 33 days annual leave including bank holidays + your birthday off., • Company pension scheme and life assurance., • Wellbeing resources and 24-hour GP helpline., • Ongoing professional development and progression opportunities., • Hybrid working: minimum 3 days in the office, maximum 2 days from home (after induction). Who This Suits You’re naturally analytical, assertive in the right way, and you take ownership. You’re comfortable working at pace, dealing with complex accounts, and you actually enjoy the challenge of improving how things are done. Personality matters here: they want someone personable who can build strong internal and external relationships while still holding a firm line on debt. If this sounds like the next step in your finance career, send your CV to Lochlan Dolman at or call 07537162494

The post holder will work as an integral part of the unit team and to be responsible for the coordination of all patient facilities services, ensuring a clean, safe and comfortable environment.The main elements of the role are ensuring the delivery of cleaning, together with other specified tasks to

Accounts Receivable Specialist £35,000 - £38,000 per annum + benefits Permanent | Hybrid (3 days office-based) Location: Borehamwood, Hertfordshire No Sponsorship is available for this role B2B with the NHS is essential We’re working with a respected healthcare services provider who needs a seasoned, hands-on Accounts Receivable Specialist to join a brand new, growing finance team in Borehamwood. This is not a “light admin AR” role. This is for someone who can take ownership, handle volume, and drive debt down properly. Billing can be taught to a degree, but strong credit control cannot, and that is the priority here. You’ll join a close-knit, collaborative team that values accuracy, accountability, and straight-talking communication. The wider business is a large corporate environment (circa £800m turnover), so you need to be comfortable working within a structured framework and dealing with high-value, high-volume payments. The Role This hybrid role (max 2 days remote after induction) gives you full ownership of the end-to-end Sales-to-Cash cycle, from invoicing and reconciliations through to credit control and cash allocation. You’ll work closely with internal teams and external funders to protect cash flow and keep the ledger clean. Expect a complex, manual environment with significant volume (around 2,500 bills per month). If you’re not daunted by numbers and you take pride in getting things right first time, you’ll do well here. Key Responsibilities • Take full ownership of end-to-end Accounts Receivable (Sales-to-Cash)., • Lead on credit control activity across NHS and local authority accounts, keeping aged debt tightly managed., • Act as the main point of contact for payment discussions, chasers, queries and dispute resolution., • Negotiate repayment plans where needed and keep detailed, accurate communication records., • Prepare and deliver accurate invoices aligned with contract requirements., • Upload invoices via customer portals or issue directly by email., • Liaise with internal validation teams to confirm billing data and resolve discrepancies fast., • Allocate cash, reconcile accounts, and support month-end close with debtor reporting., • Support audit requirements and maintain compliance with internal controls and external standards., • Contribute ideas to improve processes in a team that’s still building the “best way” of doing things. What We’re Looking For (Essential) • A seasoned AR specialist with extensive credit control experience (non-negotiable)., • NHS B2B experience is essential (local authority billing experience also highly relevant)., • Experience working in a large corporate / high-turnover business., • Comfortable handling high-value payments and high volumes of transactions., • Not daunted by a complex, manual billing environment (approx. 2,500 bills per month)., • Strong Excel skills (reconciliations, large datasets, reporting)., • Confident, personable communicator able to manage multiple stakeholders., • Detail-driven, organised, and able to meet tight deadlines without standards slipping., • You will have done your research and can speak confidently about why this company and role makes sense for you (beyond “it’s healthcare”). Nice to Have • Broader healthcare AR exposure (in addition to NHS billing)., • Process improvement mindset (this team is building and refining ways of working as, • £35,000 to £38,000 salary (depending on the strength of your credit control skillset)., • 33 days annual leave including bank holidays + your birthday off., • Company pension scheme and life assurance., • Wellbeing resources and 24-hour GP helpline., • Ongoing professional development and progression opportunities., • Hybrid working: minimum 3 days in the office, maximum 2 days from home (after induction)., • they scale). What’s On Offer • £35,000 to £38,000 salary (depending on the strength of your credit control skillset)., • 33 days annual leave including bank holidays + your birthday off., • Company pension scheme and life assurance., • Wellbeing resources and 24-hour GP helpline., • Ongoing professional development and progression opportunities., • Hybrid working: minimum 3 days in the office, maximum 2 days from home (after induction). Who This Suits You’re naturally analytical, assertive in the right way, and you take ownership. You’re comfortable working at pace, dealing with complex accounts, and you actually enjoy the challenge of improving how things are done. Personality matters here: they want someone personable who can build strong internal and external relationships while still holding a firm line on debt. If this sounds like the next step in your finance career, send your CV to Lochlan Dolman at or call 07537162494

We have a great opportunity for a Graduate Engineer to join our team working on the Thames Water framework, supporting the delivery of clean water projects. This role is ideal for a recent graduate looking to develop their career within civil and construction engineering, with full support and mento

New Clean Dealership Services Ltd is currently looking for a reliable, motivated, and experienced window cleaner to join their growing team on a full-time, permanent basis. Experienced Window Cleaner Full Time.

Experienced Window Cleaner Full Time. New Clean Dealership Services Ltd is currently looking for a reliable, motivated, and experienced window cleaner to join their growing team on a full-time, permanent basis.

Shifts Available: * Sunday to Friday Night Shift: 21:30 to 06:30 or job to finish * Monday to Saturday Day Shift: 07:00 to 16:00 or job to finish Poultry Cutter / Butcher We are currently seeking an experienced Poultry Cutter / Butcher to join our production team. In this role, you will be responsible for cutting, trimming, and preparing poultry products to required specifications while maintaining high standards of quality, hygiene, and safety. Duties: * Cut, trim, and prepare poultry products according to company specifications * Handle raw poultry safely and hygienically * Inspect products to ensure quality and consistency * Maintain a clean and organised workstation * Use knives and cutting equipment safely * Follow all food safety, hygiene, and health & safety procedures Experience & Requirements: * Previous experience as a poultry cutter or butcher preferred * Confident and safe use of knives and cutting tools * Ability to work in a fast-paced production environment * Ability to stand for extended periods * Ability to lift up to a maximum of 23kg * Good attention to detail * Basic communication skills in English <...

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Developing modern, responsive React front-ends, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Node.js and TypeScript, • React and modern front-end tooling, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • NestJS or equivalent back-end frameworks, • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Node.js / TypeScript, • Hands-on experience developing UIs with React, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI! What we offer: • A collaborative and innovative work environment, • Career growth opportunities towards Technical Lead and beyond, • Exposure to cutting-edge AI-first engineering practices, • 34 days holiday plus your birthday off, • Share options, • Remote and flexible working, • Life insurance, • Income protection, • Private health care, • Eyecare, • On-going career development and training, • Freebies and discounts, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused. If you want to build high-impact technology at the frontier of applied AI and help bring new products and intelligent agents to market, you’ll thrive here.

Role: Machine Learning Engineer (Robotics) About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is one of the fastest growing start-ups in Europe, with plans to more than double, again, in size over the next six months. Backed by international investors from the US, Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are looking for a Robotics Machine Learning Engineer to join our software team and help deliver ambitious ML solutions that power real-world robotic inspection and automation. This is a hands-on, applied role where you’ll build multi-modal machine learning models that operate in challenging outdoor environments, helping take ideas from prototype to field-tested deployment. You’ll be involved in the full ML lifecycle: building datasets, training and evaluating modern vision models, running experiments, and supporting deployment to edge devices. Demonstrable experience is essential - this could be through a previous role, research, open-source contributions, or strong personal/university-level projects. Candidates at all levels are encouraged to apply. Key Responsibilities • Develop and improve machine learning pipelines for robotic inspection tasks, including: segmentation; detection; classification; object tracking., • Build, train, and evaluate deep learning models using modern architectures such as:, • YOLO model family architectures for object detection and image segmentation., • Transformer-based object detection models (e.g., DETR / RT-DETR style approaches)., • Segmentation models such as Segment Anything Model (SAM), • Multimodal Vision Language Models (e.g. PaliGemma, Qwen2.5-VL, SmolVLM)., • Work with real-world industrial datasets (variable lighting, clutter, motion blur, weather effects) and help define clear annotation and labelling standards., • Support annotation workflows and dataset management using platforms such as Roboflow., • Prototype solutions quickly, moving from idea → training → evaluation using clear metrics (IoU, mAP, precision/recall, F1, etc.)., • Train ML systems using both real and synthetic datasets, including:, • generating synthetic training data for rare events and edge cases., • applying domain randomisation techniques to generalise training outcomes., • evaluating sim-to-real transfer performance., • Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions., • Collaborate with robotics, embedded, and software teams to ensure ML systems are testable, deployable, and reliable on real hardware., • Communicate results clearly through short technical write-ups, sprint demos, and experiment logs. Required Skills & Experience • Strong Python programming skills, including experience with ML training and data workflows., • Experience with Jupyter Notebooks., • Demonstrable hands-on experience developing and training vision models., • Architectural fluency and a deep understanding of state-of-the-art architectures, including transformers and CNNs with the ability to select and adapt models based on specific constraints and applications., • Experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow., • Understanding of key ML/CV concepts:, • dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs., • Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib)., • Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments., • Strong problem-solving ability, able to iterate quickly and learn new tools and techniques. Preferred Skills & Experience • Experience with Roboflow for dataset management, augmentation, annotation workflows, and/or model training., • Comfortable using Jupyter Notebooks for rapid experimentation, dataset exploration, and model evaluation., • Experience with “cutting-edge” vision model ecosystems and customisation (e.g. prompt-driven workflows, foundation segmentation models, hyperparameter tuning, adapters)., • Experience with synthetic data generation and simulators for perception training and testing., • Familiarity with robotics simulation tooling such as NVIDIA Isaac Sim, MuJoCo, Gazebo (or similar simulation environments)., • Familiarity with deployment constraints and optimisation for edge inference (e.g. NVIDIA DeepStream, or similar tooling), • Experience with Docker or container-based development for reproducible training and deployment environments., • Understanding of practical ML engineering workflows: experiment tracking, model/version management, dataset provenance, and regression testing, • Basic C/C++ knowledge (helpful for integrating models into production robotic systems)., • Keen interest in robotics, real-time perception, and the latest machine learning and computer vision research, with an emphasis on practical deployment outside the lab. Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out.

A clean-energy engineering company in the UK is seeking an experienced Electrical Engineering Team Manager to lead a specialist team. Responsibilities include mentoring the team, ensuring quality and compliance, and defining system-level architectures.