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Estates Campus Manager (Environment and Sustainability Lead) - RC Hours; Full time (37 hours each week, all year round) Duration; Permanent Salary; £39,372 a year + benefits Location; Rotherham College, Rotherham (working across all of the RNN Group campuses as/when required) Closing date: 05/05/2026 Are you a forward-thinking leader with the vision to transform physical environments? Do you want to leave a lasting, green legacy? About the Role We are looking for a Campus Estates Manager for our Rotherham College campus who is as passionate about the planet as they are about facilities management. This role combines high-level site leadership with the opportunity to drive the entire Group’s journey toward Net Zero. This is a dual-impact leadership position. While you will be responsible for the day-to-day operations, maintenance, and look of the Rotherham College campus, you will also serve as the Group-wide Lead for Environment and Sustainability. You will be the architect of our decarbonisation plans, ensuring our facilities are not only functional but future-proof. Key Responsibilities Group Environment & Sustainability Leadership • Net Zero Strategy: Lead the development and delivery of the Group’s decarbonisation plan, aligning with the DfE’s Sustainability and Climate Change Strategy., • Resource Management: Oversee waste management contracts across all campuses, aiming for maximum landfill diversion and implementing ISO 14001-aligned recycling streams., • Sustainability Reporting: Manage environmental data collection to provide accurate insights into utility consumption and carbon impact for statutory reporting., • Team Leadership: Direct line management of the Rotherham Estates team, overseeing recruitment, performance, and training needs., • Maintenance & Capital Works: Develop and implement programmes for repair, replacement, and planned maintenance of campus assets and buildings., • Compliance & Safety: Maintain the Group Compliance Register, ensuring all statutory testing, COSHH regulations, and hazardous waste protocols are strictly followed., • Emergency Readiness: Manage emergency procedures, including lockdown testing and Personal Emergency Evacuation Plans (PEEPs)., • Project Management: Oversee external contractors, ensuring all works meet Health & Safety, safeguarding, and quality standards. You will… You will be someone who has previous experience working within an estates/facilities management environment within the education sector. You will have managed a large and diverse team and have developed, implemented and maintained policies and procedures within this provision. You will be able to undertake audits, inspections, ensuring the site remains safe and fit for purpose for learning and working. You will have had experience with sustainability and environmental awareness including establishment of service level agreements in liaison with external and internal stakeholders. You will hold a Level 2 (or equivalent) qualification in English and Maths, a facilities management qualification and a good working knowledge of the use of a range of online systems such as Microsoft Windows (and Office 365 applications), and internal systems and databases. An Environment & Sustainability qualification qualification is essential but we will support you to obtain this if needed. We understand that no candidate will perfectly match every qualification or criterion listed. If your experience differs from what we've outlined but you believe you can contribute to this role, we encourage you to apply! Department Info You will report directly to the Director of Estates, Security and Health & Safety, working closely with the Estates management team and colleagues across the department. You will line manager, being responsible for the day-to-day supervision, performance management, recruitment and wellbeing of the estates team at the designated campus including Caretakers and Cleaning Supervisors/Cleaners. To Apply If you feel you are a suitable candidate and would like to work for RNN Group, please click apply to be redirected to our website to complete your application.

Design Lead - Real Estate Transformation Programmer – (10+ Years) Location: Sheffield, England (UK) - (Hybrid ( 3 days Office, 2 days WFH) 6+ Months Contract Role Overview Join the Real Estate Transformation Programmer as a Design Lead, leveraging your technical expertise and practical mindset to shape the future of a global property portfolio. You will operate across a varied technology stack, including Saas and internally hosted platforms. This role suits individuals who excel at solving complex technical challenges, are passionate about technology, and enjoy collaborating with engineering teams. Hands-on coding experience is advantageous. Must Skills: Delivery Technical solutions delivery experience Enterprise Solution Delivery experience Saas Products experience Solution architect experience End to End Architect experience Cloud, Devops, CI/CD Real estate experience Preferred Key Responsibilities • Technical Leadership: Drive the design and delivery of technology solutions for Real Estate, from concept throughto deployment. Remain hands-on by reviewing solutions, prototyping, and contributing code where appropriate., • Collaborative Innovation: Partner with business and engineering stakeholders to identify challenges, explore innovative approaches, and translate strategy into actionable designs., • Architectural Vision: Develop and communicate architecture roadmaps that balance robust engineeringwith innovative applications, including automation and bespoke solutions across Saas and internal platforms., • Cyber Security: Ensure all designs and solutions comply with established cyber security controls and secure development practices., • Governance & Advocacy: Promote best practices in design and development, ensuring alignment with organisational standards while encouraging new ideas and continuous improvement., • Proven Technical Leadership: Experience leading design and development in complex environments,with the ability to challenge assumptions and inspire teams., • Cyber Security Awareness: Strong understanding of cyber controls and secure development methodologies., • Hands-On Technical Skills: Confident intechnical discussions, code reviews, and contributing to codebases or prototypes., • Creative Problem-Solving: Eagerness to explore unconventional solutions and apply technology to deliver business value. 📩 Interested? Please share your updated resume to

Design Lead - Real Estate Transformation Programmer – (10+ Years) Location: Sheffield, England (UK) - (Hybrid ( 3 days Office, 2 days WFH) 6+ Months Contract Role Overview Join the Real Estate Transformation Programmer as a Design Lead, leveraging your technical expertise and practical mindset to shape the future of a global property portfolio. You will operate across a varied technology stack, including Saas and internally hosted platforms. This role suits individuals who excel at solving complex technical challenges, are passionate about technology, and enjoy collaborating with engineering teams. Hands-on coding experience is advantageous. Must Skills: Delivery Technical solutions delivery experience Enterprise Solution Delivery experience Saas Products experience Solution architect experience End to End Architect experience Cloud, Devops, CI/CD Real estate experience Preferred Key Responsibilities • Technical Leadership: Drive the design and delivery of technology solutions for Real Estate, from concept throughto deployment. Remain hands-on by reviewing solutions, prototyping, and contributing code where appropriate., • Collaborative Innovation: Partner with business and engineering stakeholders to identify challenges, explore innovative approaches, and translate strategy into actionable designs., • Architectural Vision: Develop and communicate architecture roadmaps that balance robust engineeringwith innovative applications, including automation and bespoke solutions across Saas and internal platforms., • Cyber Security: Ensure all designs and solutions comply with established cyber security controls and secure development practices., • Governance & Advocacy: Promote best practices in design and development, ensuring alignment with organisational standards while encouraging new ideas and continuous improvement., • Proven Technical Leadership: Experience leading design and development in complex environments,with the ability to challenge assumptions and inspire teams., • Cyber Security Awareness: Strong understanding of cyber controls and secure development methodologies., • Hands-On Technical Skills: Confident intechnical discussions, code reviews, and contributing to codebases or prototypes., • Creative Problem-Solving: Eagerness to explore unconventional solutions and apply technology to deliver business value. 📩 Interested? Please share your updated resume to

Contract AI-Native Software Engineer opportunity - £520 per day - Fully Remote - Outside IR35 If you’re already using AI to build, ship and improve software (not just experiment with it) this is a seriously exciting opportunity. Morson Edge are working with a team redefining how software is delivered using agentic workflows and multi-agent systems. This is a hands-on engineering role focused on building real, production-grade systems powered by AI. What you’ll be doing: • Designing and building AI-native, backend systems (Go / C#), • Orchestrating multi-agent workflows to accelerate delivery, • Implementing AI-assisted development practices across the lifecycle, • Building validation and quality frameworks for AI-generated code, • Working within existing platforms to introduce modern, agentic approaches What they’re looking for: • Strong backend engineering experience (Go and/or C#), • Experience with distributed systems & APIs, • Hands-on use of AI-assisted or agentic development workflows, • Understanding of testing, CI/CD, observability, • Comfortable working in fast-paced, evolving environments Why it’s interesting: • Work at the forefront of AI-driven software engineering, • High-impact role shaping how teams build software, • Blend of engineering rigour + cutting-edge AI practices, • Opportunity to work on real-world, production AI systems, • If you’re someone who sees AI as a core part of how software should be built going forward, I’d love to speak.

Bettervits is one of the UK's fastest growing nutrition brands and our mission is to be the biggest. We are a fast-growing digital brand operating in the health and wellness e-commerce space. We move fast, we think creatively, and we scale what performs. Our team is built on ownership, trust and results - no micromanagement, just high standards and big energy. If you are passionate about people and in pushing them to their fullest potential - this role is for you. Location: Remote Type: Full-Time / Contractor Start Date: ASAP 🚨 Important - Applications without a portfolio or relevant examples of work will not be considered. (Details on how to apply are at the bottom of this description.) About Us We are a fast-growing ecommerce brand operating in the health and wellness and pet space. We move fast, we think creatively, and we scale what performs. Our team is built on ownership, trust and results - no micromanagement, just high standards and big energy. If you live and breathe nutrition and have the confident and energy for content creation - this role is for you. Role Overview We are looking for a Social Media Content Creator who is confident on camera and excited about creating short-form content for social media. You will help us translate complex nutrition concepts into engaging TikToks, Reels, and YouTube Shorts. Your role blends clinical credibility with creative storytelling to produce content that is accurate, high-retention, and viral-ready. This role is ideal for someone who wants to influence millions of people, shape a fast-growing wellness brand, and become a trusted health educator online. What You’ll Do: Content Creation • Film, script, and present short-form video content for TikTok, Instagram Reels, and YouTube Shorts, • Break down complex nutrition, wellness, and supplement topics into simple, engaging content, • Create educational, entertaining, high-retention videos around Bettervits products, ingredients, and health concepts, • Work with our product, brand, and marketing teams to align messaging and content angles, • Develop content frameworks and recurring formats for scalable production, • Edit or collaborate with editors to produce polished short-form content, • Track performance, retention, and engagement to refine future content, • Identify new opportunities for storytelling, product education, and viral moments What We’re Looking For • Professional background in nutrition a big plus (Clinical Nutritionist, Registered Nutritionist, Dietitian, or equivalent experience), • Strong on-camera presence — confident, charismatic, and clear, • A portfolio of short-form video content, • Ability to simplify scientific/clinical concepts without losing accuracy, • Deep interest in supplements, wellness, biohacking, and modern nutrition, • Ability to film and create content independently, • High creative energy with fast execution speed, • Understanding of TikTok, IG Reels, and YouTube Shorts trends & algorithms Why Work With Us • Fully remote – work from anywhere, • Competitive Compensation Package, • Flexible working environment – results > hours, • No micromanagement – full ownership and trust, • Creative freedom and room to experiment, • Fast-paced, ambitious team culture, • Growth opportunities as we scale How to Apply To be considered, you must include: ✅ Your CV or LinkedIn

On behalf of our client, we are hiring for a Software Engineer (Python). 📍 Relocation to London | 5 days/week in office | Visa sponsorship & relocation package offered The company is building the next generation of customer service through AI Agents. Their agents handle calls, respond to emails and WhatsApp messages, make bookings, process payments, and operate CRM systems in the same way a human would. Founded in June 2023, the company participated in the Y Combinator S23 batch. The founding team spent several months in San Francisco immersed in AI development. Since then, they have achieved ~30% month-on-month revenue growth while rapidly shipping new features. Most recently, they raised a $13M Series A to accelerate their expansion. They are developing AI voice agents designed to help trade businesses operate more efficiently, scale faster, and deliver improved customer experiences. As an early-stage engineer, the successful candidate will play a key role not only in building products, but also in shaping how the company evolves, interacts with customers, and scales. Who You Are • Customer-focused: You prioritise user needs, ask the right questions, and build solutions with impact in mind., • Action-oriented: You move quickly, experiment, and continuously learn., • Ownership mindset: You take responsibility for outcomes and proactively raise standards., • Ambitious and curious: You are excited by new ideas, technologies, and challenges., • Collaborative: You contribute to a positive team environment and support others., • Quality-driven: You care deeply about your work and strive for excellence. What You Bring • Strong software engineering fundamentals, with the ability to design, debug, and deliver reliable systems., • Proficiency in Python or TypeScript, or the ability to quickly learn new technologies., • Experience building and shipping AI-driven products end-to-end (startup, personal projects, open source, or enterprise)., • Comfort working across the stack (frontend, backend, and infrastructure)., • Ability to collaborate with both technical and non-technical stakeholders., • A demonstrated track record of initiative and ownership. Nice to Have • Experience in early-stage startups, particularly within AI, voice platforms, or event-driven systems., • Familiarity with modern cloud infrastructure (e.g., Kubernetes, serverless architectures, distributed systems)., • Strong customer empathy, whether through support, founding experience, or building user-centric products. Perks & Benefits • 💸 Competitive salary and equity, • 📚 Ongoing learning and development in AI, • ✈️ Team socials and annual offsites, • 🏥 Private healthcare

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 team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

About AIApply We’re a scaling, founder-led B2C subscription business, helping people land jobs faster with AI-driven auto-apply, resume tailoring, and interview prep. Millions of high-intent candidates have used the product. We’re now moving beyond tools into infrastructure, building a verified talent layer for employers, expanding distribution beyond paid social, and creating a defensible organic moat. We move fast, ship often, and run a flat, high-ownership team. What you’ll do You will become the person the company trusts when it asks: “Is this actually working?” That means: • Building a clean, reliable data layer across product, revenue, and user behaviour, • Defining the core metrics the company runs on, • Making every experiment measurable, interpretable, and comparable, • Identifying the highest-leverage opportunities in the product (especially early churn and onboarding) What success looks like Within your first few months: • Every key initiative has a clear baseline and measurable outcome, • The team trusts a single source of truth for metrics, • Experiments have clear readouts and influence product decisions, • AIApply runs on a coherent metrics system, • Experimentation becomes a core operating rhythm, • Product, growth, and data are tightly integrated, • You help scale this into a small, high-leverage team Who we’re looking for You’re a product-minded operator who can both build and think. You might come from: • Product (strong data + experimentation bias), • Analytics / data science (with real product ownership), • You can go from raw data → insight → decision → action, • You’ve worked on a real product with real users and revenue, • You’re comfortable getting hands-on (SQL, pipelines, tooling — whatever is needed), • You challenge bad experiments, not just measure them, • You care about outcomes, not reporting Strong signals • You’ve owned metrics or experimentation in a live product, • You’ve built or cleaned up a messy data layer, • You’ve killed ideas based on data (not just validated them) Experience with marketplaces, subscriptions, or LLM-driven products. Not a fit • You’re purely academic or research-focused, • You only want to analyse, not build or influence, • You need a perfect stack before you start Comp & process Competitive base + meaningful equity. We’re profitable. the equity is real. Process: • 30 min intro, • Paid take-home (lightweight, real data), • Working session with the team

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

Transform Young Lives: Passionate KS3 Science Educator - Sheffield Location? Sheffield Hours? School term only, Monday-Friday, 8:35 AM - 3:35 PM Contract Type: Temporary with view to become permanent Are you a creative and compassionate instructor who thrives on delivering Science lessons to children facing Social, Emotional, and Mental Health (SEMH) challenges? Do you flourish inside specialist or alternative school settings, unlocking potential one experiment at a time? If you're eager to ignite wonder and strengthen self-belief in every pupil, we would love to hear from you. Why Join Academics? At Academics Agency, we believe every child deserves a personalised pathway to success. Becoming part of our team means you will receive: Purpose-Driven Work - Help students celebrate small victories in learning and life. Fresh Teaching Approaches - Design lively, flexible sessions that engage even the most reluctant learners. Skilled Allies - Work alongside dedicated behaviour and curriculum specialists. Balanced Lifestyle - Term-time hours give you evenings, weekends, and holidays free. Extra Rewards - Recommend a fellow teacher and receive £125 in Love to Shop vouchers. What's on Offer Excellent Salary - Competitive daily rates based on your experience, plus holiday pay. Ongoing Development - Access workshops, CPD sessions, and career pathways. Warm Atmosphere - A friendly, encouraging group of like-minded professionals. Real Influence - Witness pupils rediscover their love for learning Science. Ideal Candidate Profile ✔️ Hold Qualified Teacher Status (QTS) - Science background preferred; SEN experience is helpful but not required. ✔️ Calm and Determined - Ready to support young people with complex emotional needs. ✔️ Lively Instructor - Adept at making practical experiments and theory feel exciting. ✔️ Strong Communicator - Work seamlessly with parents, carers, and multi-disciplinary teams. ✔️ Enhanced DBS - Already subscribed to the Update Service, or willing to apply. Ready to Inspire the Next Generation? Send Your CV to: (url removed) Phone Us: (phone number removed) About Academics For over fifteen years, we've connected brilliant teachers with schools where they truly make a difference

Estates Campus Manager (Environment and Sustainability Lead) - RC Hours; Full time (37 hours each week, all year round) Duration; Permanent Salary ; £39,372 a year + benefits Location; Rotherham College, Rotherham (working across all of the RNN Group campuses as/when required) Closing date: 05/05/2026 Are you a forward-thinking leader with the vision to transform physical environments? Do you want to leave a lasting, green legacy? About the Role We are looking for a Campus Estates Manager for our Rotherham College campus who is as passionate about the planet as they are about facilities management. This role combines high-level site leadership with the opportunity to drive the entire Group's journey toward Net Zero. This is a dual-impact leadership position. While you will be responsible for the day-to-day operations, maintenance, and look of the Rotherham College campus, you will also serve as the Group-wide Lead for Environment and Sustainability. You will be the architect of our decarbonisation plans, ensuring our facilities are not only functional but future-proof. Key Responsibilities Group Environment & Sustainability Leadership • Net Zero Strategy: Lead the development and delivery of the Group's decarbonisation plan, aligning with the DfE's Sustainability and Climate Change Strategy. * Resource Management: Oversee waste management contracts across all campuses, aiming for maximum landfill diversion and implementing ISO 14001-aligned recycling streams. * Sustainability Reporting: Manage environmental data collection to provide accurate insights into utility consumption and carbon impact for statutory reporting. * Innovation: Research and experiment with new technologies and initiatives to improve the environmental performance of our buildings. Campus & Facilities Management • Team Leadership: Direct line management of the Rotherham Estates team, overseeing recruitment, performance, and training needs. * Maintenance & Capital Works: Develop and implement programmes for repair, replacement, and planned maintenance of campus assets and buildings. * Compliance & Safety: Maintain the Group Compliance Register, ensuring all statutory testing, COSHH regulations, and hazardous waste protocols are strictly followed. * Budgetary Control: Prepare and manage campus budgets, ensuring value for money through competitive quoting and efficient stock management. Operational Excellence • Emergency Readiness: Manage emergency procedures, including lockdown testing and Personal Emergency Evacuation Plans (PEEPs). * Project Management: Oversee external contractors, ensuring all works meet Health & Safety, safeguarding, and quality standards. * Strategic Alignment: Work closely with the Health & Safety and Security Managers to provide a cohesive, safe, and efficient Estates' function. You will have the unique opportunity to manage a large educational campus while acting as the lead for the Group's most vital long-term goal: sustainability. If you are a forward-thinking estates professional who wants to influence the "look and feel" of a campus while making a global impact, we want to hear from you. You will... You will be someone who has previous experience working within an estates/facilities management environment within the education sector. You will have managed a large and diverse team and have developed, implemented and maintained policies and procedures within this provision. You will be able to undertake audits, inspections, ensuring the site remains safe and fit for purpose for learning and working. You will have had experience with sustainability and environmental awareness including establishment of service level agreements in liaison with external and internal stakeholders. You will hold a Level 2 (or equivalent) qualification in English and Maths, a facilities management qualification and a good working knowledge of the use of a range of online systems such as Microsoft Windows (and Office 365 applications), and internal systems and databases. An Environment & Sustainability qualification qualification is essential but we will support you to obtain this if needed. We understand that no candidate will perfectly match every qualification or criterion listed. If your experience differs from what we've outlined but you believe you can contribute to this role, we encourage you to apply! Department Info You will report directly to the Director of Estates, Security and Health & Safety, working closely with the Estates management team and colleagues across the department. You will line manager, being responsible for the day-to-day supervision, performance management, recruitment and wellbeing of the estates team at the designated campus including Caretakers and Cleaning Supervisors/Cleaners. To Apply If you feel you are a suitable candidate and would like to work for RNN Group, please proceed through the following link to be redirected to our website to complete your application.