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Location: Nottingham, UK Compensation: high salary + meaningful equity + performance bonus Start Date: Immediate Type: Full-time, permanent Visa Sponsorship: For exceptional candidates only About Concrete4Change Concrete and cement are among the largest industrial sources of CO₂ on Earth. We are building technology to change that. Concrete4Change captures CO₂ and locks it permanently into high-performance construction materials. The goal is simple: make decarbonisation of concrete commercially unavoidable. This is deep tech. Real chemistry. Real scale-up. Real industrial constraints. We are past the stage of academic curiosity. The job now is execution. That means building technology that works in the lab, at pilot scale, and in industry. It means solving hard problems in reaction chemistry, mineral formation, cementitious systems, product performance, and scale-up. It means moving fast and being right. This is a role for someone who wants to build something that matters. The Role We are looking for a world-class scientist to lead one of the most important technical areas in the company. Your job is to understand, control, and improve how captured CO₂ becomes stable mineral phases and how those phases behave inside cementitious systems. You will drive the science behind reaction pathways, kinetics, phase formation, hydration, carbonation, microstructure, durability, and real-world performance. You will turn chemistry into product decisions. You will turn data into scale-up decisions. You will turn scientific understanding into industrial advantage. This is not a role for someone who wants low pressure, unclear ownership, or years of discussion before action. You will work on problems that matter to the core of the company. You will be expected to think clearly, move quickly, challenge assumptions, and make good decisions with imperfect data. You will work closely with engineering, plant, and commercial teams. You will help build experimental capability, improve technical standards, and mentor other scientists and engineers. What We’re Looking For • PhD in Cement Chemistry, Construction Materials, Materials Science, Chemistry, Chemical Engineering, Civil Engineering, or a related field, • 10+ years of industrial experience in carbon capture, CO₂ mineralisation, carbon utilisation, cement chemistry, concrete chemistry, or related materials chemistry, • 5+ years in start-ups or high-growth environments, • Deep understanding of reaction chemistry, including mechanisms, kinetics, phase formation, and material transformation, • Strong expertise in one or both of these domains:, • carbon capture / CO₂ mineralisation, • cement chemistry / concrete chemistry, • Strong grasp of analytical methods and hands-on experience interpreting complex materials data, • Comfortable working with methods such as XRD, TGA/DSC, FTIR, Raman, SEM/EDS, particle analysis, wet chemistry, and performance testing, • Able to connect chemistry to process conditions, product requirements, and industrial scale-up, • Proven ability to lead important technical programmes and make high-quality decisions You’ll Probably Be a Great Fit If • You care about first-principles thinking, • You like hard problems more than polished presentations, • You can go deep technically and still stay focused on what changes outcomes, • You are excited by speed, ambiguity, and accountability, • You want your work to end up in pilot plants, products, factories, and real deployment THIS JOB IS NOT FOR YOU IF • You want a slow, highly structured corporate environment, • You prefer observation over ownership, • You need constant consensus before making progress, • You like research but not execution, • You are more comfortable writing reports than delivering results, • You come from an academic way of working and are not ready for fast industrial execution, • You are looking for a relaxed working environment rather than a high-performance one, • You want to avoid start-up pressure, ambiguity, and pace, • You are not comfortable being judged on results What You Get • High-impact role in a company solving a globally important industrial problem, • Meaningful equity, • Strong salary, • Performance bonus, • Private health insurance and healthcare cash plan, • Pension

Location: Nottingham, UK Compensation: high salary + meaningful equity + performance bonus Start Date: Immediate Type: Full-time, permanent Visa Sponsorship: For exceptional candidates only About Concrete4Change Concrete and cement are among the largest industrial sources of CO₂ on Earth. We are building technology to change that. Concrete4Change captures CO₂ and locks it permanently into high-performance construction materials. The goal is simple: make decarbonisation of concrete commercially unavoidable. This is deep tech. Real chemistry. Real scale-up. Real industrial constraints. We are past the stage of academic curiosity. The job now is execution. That means building technology that works in the lab, at pilot scale, and in industry. It means solving hard problems in reaction chemistry, mineral formation, cementitious systems, product performance, and scale-up. It means moving fast and being right. This is a role for someone who wants to build something that matters. The Role We are looking for a world-class scientist to lead one of the most important technical areas in the company. Your job is to understand, control, and improve how captured CO₂ becomes stable mineral phases and how those phases behave inside cementitious systems. You will drive the science behind reaction pathways, kinetics, phase formation, hydration, carbonation, microstructure, durability, and real-world performance. You will turn chemistry into product decisions. You will turn data into scale-up decisions. You will turn scientific understanding into industrial advantage. This is not a role for someone who wants low pressure, unclear ownership, or years of discussion before action. You will work on problems that matter to the core of the company. You will be expected to think clearly, move quickly, challenge assumptions, and make good decisions with imperfect data. You will work closely with engineering, plant, and commercial teams. You will help build experimental capability, improve technical standards, and mentor other scientists and engineers. What We’re Looking For • PhD in Cement Chemistry, Construction Materials, Materials Science, Chemistry, Chemical Engineering, Civil Engineering, or a related field, • 10+ years of industrial experience in carbon capture, CO₂ mineralisation, carbon utilisation, cement chemistry, concrete chemistry, or related materials chemistry, • 5+ years in start-ups or high-growth environments, • Deep understanding of reaction chemistry, including mechanisms, kinetics, phase formation, and material transformation, • Strong expertise in one or both of these domains:, • carbon capture / CO₂ mineralisation, • cement chemistry / concrete chemistry, • Strong grasp of analytical methods and hands-on experience interpreting complex materials data, • Comfortable working with methods such as XRD, TGA/DSC, FTIR, Raman, SEM/EDS, particle analysis, wet chemistry, and performance testing, • Able to connect chemistry to process conditions, product requirements, and industrial scale-up, • Proven ability to lead important technical programmes and make high-quality decisions You’ll Probably Be a Great Fit If • You care about first-principles thinking, • You like hard problems more than polished presentations, • You can go deep technically and still stay focused on what changes outcomes, • You are excited by speed, ambiguity, and accountability, • You want your work to end up in pilot plants, products, factories, and real deployment THIS JOB IS NOT FOR YOU IF • You want a slow, highly structured corporate environment, • You prefer observation over ownership, • You need constant consensus before making progress, • You like research but not execution, • You are more comfortable writing reports than delivering results, • You come from an academic way of working and are not ready for fast industrial execution, • You are looking for a relaxed working environment rather than a high-performance one, • You want to avoid start-up pressure, ambiguity, and pace, • You are not comfortable being judged on results What You Get • High-impact role in a company solving a globally important industrial problem, • Meaningful equity, • Strong salary, • Performance bonus, • Private health insurance and healthcare cash plan, • Pension

Internships Boccard 2026 Location: Deeside, N Wales – Quality, Engineering and Health and Safety Bristol – Project Management, Project Control, Quality, Design Technical Duration: Flexible, typically 12-16 weeks, June -Aug 2026 Type: Full-time, Paid About Boccard: Boccard has a track record of 50 years in the nuclear energy sector and is ideally placed to serve this new era of nuclear energy as a leading specialist in engineering, manufacturing, construction and maintenance across the nuclear energy industry. Known for our innovative projects and commitment to sustainability, we are seeking dedicated and enthusiastic Interns to join our team and gain hands-on experience in the field of Engineering / Quality / Project Management / Health and Safety. Engineering – Deeside Responsibilities: • Assist in the design and development of engineering projects, • Conduct site visits and inspections, • Prepare technical reports and documentation, • Collaborate with senior engineers on various tasks, • Support the team in daily administrative duties Requirements • Currently pursuing a degree in Civil Engineering, Mechanical Engineering, or a related field • Strong analytical and problem-solving skills, • Proficiency in CAD software and MS Office, • Excellent communication and teamwork abilities, • Eagerness to learn and take on new challenges Quality – Deeside / Bristol Responsibilities: • Assist in the development and implementation of quality control procedures, • Conduct inspections and tests on products to ensure compliance with standards, • Analyse data and prepare reports on quality performance, • Collaborate with the production team to identify and resolve quality issues, • Support the quality assurance team in daily administrative tasks Requirements: • Currently pursuing a degree in Quality Management, Engineering, or a related field, • Strong analytical and problem-solving skills, • Proficiency in MS Office and familiarity with quality management software, • Excellent attention to detail and organizational skills, • Ability to work independently and as part of a team Health and Safety – Deeside Responsibilities: • Assist in the development and implementation of health and safety policies, • Conduct risk assessments and safety inspections, • Analyse data and prepare reports on safety performance, • Collaborate with various departments to ensure compliance with safety regulations, • Support the health and safety team in daily administrative tasks Requirements: • Currently pursuing a degree in Occupational Health and Safety, Environmental Science, or a related field • Strong analytical and problem-solving skills, • Proficiency in MS Office and familiarity with safety management software, • Excellent attention to detail and organizational skills, • Ability to work independently and as part of a team Project Management and Project Control - Bristol Responsibilities: • Assist in planning, executing, and closing projects, • Monitor project progress and update project plans, • Conduct research and gather data for project reports, • Coordinate with team members and stakeholders to ensure project success, • Support the project management team in daily administrative tasks Requirements: • Currently pursuing a degree in Project Management, Business Administration, or a Technical / Engineering related field • Strong organizational and multitasking skills, • Proficiency in MS Office and project management software (e.g., MS Project, Trello), • Excellent communication and teamwork abilities, • Eagerness to learn and take on new challenges Design / Technical – Bristol • Provide support in maintaining track on all material being purchased / shipped / used at the workshop • Propose improvements to our existing tools, • Perform manufacturing efficiency study, • Support the team in keeping manufacturing trackers up to date, • Assist with our manufacturing management tool, • Collaborate with senior engineers on various tasks Requirements • Currently pursuing a degree in Civil Engineering, or HND in manufacturing systems, mechanical engineering, or similar • Strong analytical and problem-solving skills, • Proficiency in CAD software and MS Office, • Excellent communication and teamwork abilities, • Eagerness to learn and take on new challenges Benefits of the programmes: • Hands-on experience in a fast-paced work environment, • Mentorship and professional development opportunities, • Networking opportunities with industry professionals How to Apply: Please send your resume and a cover letter explaining what internship you are interested in and why you are a good fit for that position to and by the 17th of April 2026.

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

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

Head of AI is seeking exceptional leaders to join our network of fractional Heads of AI. Our mission is to help Biotechnology and life sciences organisations evolve into AI-enabled institutions — embedding AI strategically across their research, development, operations, and decision-making. We are looking for individuals who combine deep technical fluency with board-level leadership, capable of guiding organisations as they adopt and scale the new era of generative and agentic AI. We work with organisations across biopharmaceuticals, drug discovery, genomics, clinical research, digital health, and medical devices, typically ranging from £20m–£500m+ in revenue. These organisations face increasing pressure to accelerate innovation and improve patient outcomes while maintaining strong governance, regulatory compliance, and data integrity. Our fractional Heads of AI support leadership teams in embedding AI capabilities that improve R&D efficiency, strengthen decision-making, and unlock new scientific and commercial value. We recognise that few professionals have completed a full AI transformation in life sciences. Therefore, we seek leaders with proven experience in digital, data, analytics, or operational transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through the cultural, operational, scientific, governance, and regulatory shifts required to unlock AI’s potential. What We Are Looking For: AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding biotech and life sciences organisations through the shifts required to become AI-enabled. Can connect earlier digital, analytics, or automation expertise with today’s agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML, analytics, and scientific data systems (e.g. genomics, clinical, real-world data) with emerging AI architectures to deliver measurable value. C-Suite and Board-Level Communicators: Able to simplify complex AI and scientific topics for executives and align AI investments with organisational strategy. Confident advising CEOs, CTOs, Chief Scientific Officers, and Boards on strategy, risk, governance, and ROI. Change Leaders: Strong stakeholder engagement and ability to drive adoption. Skilled in mentoring teams, developing AI literacy, and ensuring responsible AI practices. Understands data governance, regulatory requirements (e.g. GxP, FDA/EMA), and human-in-the-loop design needed for AI success in life sciences. Entrepreneurial Mindset: Thrives in ambiguity and fast-paced environments. Curious about new AI tooling and pragmatic about implementation. Focused on delivering measurable outcomes through experimentation and iteration. What We Are Not Looking For: • Legacy executives without hands-on AI or GenAI understanding, • Academic or research-focused professionals without applied business outcomes, • Technologists who lack leadership or transformation delivery experience, • Consultants who only advise but have not led execution, • Corporate-only leaders reliant on large structures Desired Profile Summary The ideal candidate will serve as a Fractional Head of AI / AI-Driven Transformation Leader, focused on helping biotech and life sciences organisations design and execute end-to-end AI strategies, roadmaps, execution plans, and governance frameworks. They will bring 10–20+ years of experience across AI, data, digital transformation, analytics, or life sciences innovation, with a proven ability to translate technology into measurable scientific and commercial outcomes. They are experienced transformation leaders — such as Heads of Data Science, Chief AI Officers, AI Strategy Leads, or Digital Transformation Leaders — who have evolved beyond model development into organisational change and value delivery. Candidates with a data science or bioinformatics foundation are welcome, provided they demonstrate fluency in modern AI technologies (LLMs, copilots, orchestration frameworks) and executive-level influence. They thrive in fractional roles (1–5 days per week) and bring an entrepreneurial, adaptable, and outcome-driven mindset. We welcome applications from professionals passionate about helping life sciences organisations harness AI responsibly and at scale.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

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

Opportunity Overview We are currently seeking a Professor in Physical Geography to take on a pivotal role in developing plans and delivering research and innovation objectives that contribute to University and School Innovation Strategies. The successful candidate will play a leading in the development of an innovative academic environment which brings tangible benefits and impacts for other groups and organisations outside the higher education sector. To perform as Professor in Physical Geography, fostering further development of this important teaching and research area within the school by contributing to research-informed teaching allowing the successful candidate to enhance Salford's reputation in geography teaching and to inspire the next generation of geographic researchers. Key Responsibilities • Provide academic leadership, development, mentoring and career management advice to colleagues and students in all areas of teaching and learning., • Develop plans and deliver research and innovation objectives that contribute to University and School Innovation Strategies., • Develop local, national and international collaborative partnerships with organisations, communities, educational institutions, academics and practitioners to develop research and innovation projects, enable their implementation and optimise impact. Play a leading role in development of an innovative academic environment which brings tangible benefits and impacts for other groups and organisations outside the higher education sector. School and Subject Group Overview The School of Science, Engineering and Environment (SEE) is a centre of discovery and innovation. With a broad portfolio across computer sciences, engineering, built environment and human and natural sciences, we are one of the largest schools within the University, home to over 6000 students and over 370 colleagues. Our Research and Innovation Centres work together to collaborate around the world’s greatest challenges including Net Zero, Climate Change and Resilience, Healthy Living and Industry. Our focus is on translating our pioneering research into real-world impact for people and industry and our research is recognised as world leading. The Geography and Environmental Management (GEM) team delivers a range of well-respected programmes at undergraduate and taught postgraduate levels. Our programmes carry accreditation from various professional bodies, including the Institute of Sustainability and Environmental Professionals (ISEP), the Institute of Occupational Safety and Health (IOSH) and the Royal Geographical Society (RGS). Current undergraduate teaching is centred around Geography and Environmental Management. Postgraduate teaching includes programmes in Environmental Assessment and Management, Sustainability, Health and Global Environments and Safety, Health and Environment. What’s in it for you? Competitive salary - and excellent pension scheme Generous annual leave – an impressive 32 days leave, plus bank holidays, additional time off at Christmas and the opportunity to buy even more! Flexible working - we support a culture of flexible and hybrid working Professional development - a comprehensive package of training and development opportunities to help you achieve your full potential. Our community – there’s a real sense of belonging here at Salford. We value diversity — in backgrounds and in experiences. Our difference makes us stronger, and together we share a passion for improving students’ lives. Become unstoppable – apply today!

What you'll be doing No7 Beauty Company is made up of five iconic brands - No7, Liz Earle, Soap & Glory, Botanics and Sleek MakeUP. We believe in creating the best in beauty for everyone - we're innovators with a passion for challenging perceptions with ground-breaking products, proven results and positive impact. We have built a reputation on scientific innovation, whilst being environmentally sustainable and socially responsible. We are an equal opportunity employer, empowering our team members to be their authentic selves as we share a culture where diversity, equity and inclusion are at the centre of everything we do. You'll be working at the heart of the business, with technical and marketing teams, to co-create innovative and fully supported claims for use on pack or in multiple social and advertising channels. You'll be key in setting the evidence requirements for the claim to be supported, reviewing the evidence, and gaining alignment on any uncertainties. You'll be one of two Claims Managers, reporting to the Head of Claims and Comms Integrity. Key responsibilities • Lead claims into Research, New Product Development, and communication plans, including understanding of Legal and Regulatory colleagues, • Provide claims expertise during innovation stages and in product development, defining claims evidence/support strategies that aligns with regulatory assessments, underpinning science and competitor analysis, • Work with Science and Claims teams to ensure optimised testing to target claims, building scientific expertise in claims and methodologies to improve, • Author and reviews claims documentation/ narrative for proactive claims approval to improve value, or reactive claims challenges, • Provide creative input into claims brainstorming, using understanding of the science, test methods, formulation efficacy and regulatory guardrails, • Ensure GAT and BCD handover, then reviews marketing material and other assets for compliance to approved claims, • Keep up to date with the claims landscape in key markets using claims authority requirements and adjudications, regulatory knowledge, legal activity, competitor activity and any other intel, • Provide a risk-based expert recommendations, escalating on time any issues that could be a threat/opportunity for the business, • Develop guidance notes for claims use and required supporting evidence, • Lead in the strategic prioritisation, authoring & training of new standards and updates (and guidance notes) for activation in the business and submission to quality management system submission, • Support implementing and training on claims process to No7BC, TSPs and suppliers, and global claims record/matrix processes., • Develop strong relationships with internal/external stakeholders/ partner, including KOLs and claims authorities, promoting best practice, negotiate to achieve favorable outcome for No7 BC, • Represent the business in relevant trade associations, influence regulatory changes and guidance notes to achieve a favourable outcome, • Liaise directly with marketing teams and review pack copy and promotional material, • Bachelor's degree in a life science discipline (e.g., Biology, Cosmetic Science, Pharmacology, Dermatology) and/or substantial experience, • At least 5 years' experience working in a regulatory or claims environment, • Summarise and articulate technical information to diverse audiences both verbally and in writing, • Determine and develop approaches to solutions with technical guidance on a variety of problems of moderate scope and complexity, • Knowledge of the Beauty Markets (Key brands, product types and claims), • Knowledge of the Regulatory landscape for beauty, devices and medicinal products, • Boots Retirement Savings Plan, • Discretionary annual bonus, • Generous employee discounts, • Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child, • Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more. Who we are Five iconic brands make up No7 Beauty Company: No7, Liz Earle, Soap & Glory, Botanics and Sleek MakeUP. We believe in creating the best in beauty for everyone, from skin science to sustainability. We're known for products that deliver results and do good along the way. We're proud to be an equal opportunity employer, creating an inclusive workplace where our colleagues are empowered to be themselves and where diversity, equity and inclusion are part of how we do things, every day. What's next If this sounds like the role for you, we'd love to hear from you. If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to providereasonable adjustmentsto help you to be at your best. Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis. JBRP1_UKTJ

Job Description: HPC Expert ( Must have SC Security clearance) Pay: £450-500 per day PAYE 600-700 Umbrella Location: Nottingham /Derby Start date: ASAP Role Overview This role provides high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations based on real workloads Key Responsibilities The ideal candidate will collaborate with the customer to assess existing HPC infrastructure and workloads through various customer workshops and interviews, to identify: • HPC Environment Assessment & Optimization, • Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases., • Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options., • HPC Containerization Strategy, • Produce a strategy for MPI-optimized container images using tools such as Apptainer/Singularity (SIF), OpenMPI, Podman, and Buildah., • As part of the report's findings outline repeatable, secure build pipelines for HPC workloads., • Identify in the report opportunities to align container platforms with HPC orchestration requirements (batch, interactive, scientific workflows)., • Technical Workshops, Stakeholder Engagement, • Lead technical discussions, workshops, and training sessions to upskill engineering and research teams on containerization and HPC best practices., • Proven background in high-performance computing, including hands-on use of Beowulf-style cluster environments., • Strong practical knowledge of Slurm job scheduling and MPI job optimization., • Demonstrated experience with MPI-aware container technologies (Apptainer/SIF, OpenMPI, Podman, Buildah)., • Ability to run structured interviews, technical workshops, and cross-team engineering sessions., • Experience supporting typical HPC, ML and scientific workloads., • Knowledge of CFD software (e.g., OpenFOAM). Call Steve Hill on 01462 670666 IND/LET JBRP1_UKTJ

Bat Specialist Ecologist LOCATION FLEXIBLE Leeds, Newcastle, Cockermouth, Leicester, Birmingham, Bristol, London or Southampton Are you a bat specialist, either a BER Registered Consultant or a Natural England Class 2 or above bat survey licence holder? Do you have a desire to apply your bat expertise to a diverse project portfolio with the support of an industry leading team? Have you worked on mitigation licensed projects recently and are looking to become a BER Registered Consultant? Or do you hold a bat disturbance and handling licence in Scotland or Wales, or have licensing and bat project delivery experience in Northern Ireland and ROI? Are you eager to enhance your technical skills and develop your career with a defined professional pathway of your choosing? Do you want to work with a team who value and promote health, wellbeing and a fulfilling working life, recognising the commitment required to conduct nocturnal bat survey work? Role Outline As Tetra Tech builds on its demonstrable track record as one of the leading global environmental consultancies, we are seeking Bat Earned Recognition (BER) Registered Consultants and those who qualify as BER Accredited Agents to strengthen our existing BER expertise in the team. We are also looking to expand our bat expertise in the Scotland, Wales, Northern Ireland and ROI teams. As a multidisciplinary consultancy, our ecologists work closely with colleagues from other teams including Planning, Placemaking, Engineering, Transportation and Asset Management and contribute to the identification of opportunities, tendering and project delivery. With ambitions to grow our UK presence, and to contribute to the continued success of Tetra Techs global business, you will join our established network of over 90+ UK ecologists. Our bat specialists are proactive in developing relationships with colleagues from across the business, liaising with the wider ecology team and other technical teams, and supporting them through all stages of a project. Examples of recent bat projects we have delivered include: • Surveys, BER site registrations and mitigation works for several bat species, including hibernation and maternity roosts across the country;, • Use of advanced bat survey techniques (e.g. on sites in Hampshire, Sussex and Dorset) to confirm whether rare bat species such as Bechsteins are present;, • Use of industry-leading survey technology and data analysis systems to ascertain use of habitats by bats for renewable energy and other land-use projects;, • Survey, licensing and mitigation at a range of sites including listed buildings and complex structures with multiple bat roosts present;, • Survey, BER licensing and mitigation for trees on linear infrastructure projects; and We are looking for bat specialists who are proactive in developing their own knowledge and understanding of bats as well as being able to share their knowledge to support the development of others. We want people who have strong field experience and ambitions to develop their technical skills in line with project requirements. With support from the regional and national ecology teams as well as the national bat lead, and in line with our defined career framework, they will continue to develop their expertise. We Lead with Science and follow the advice of our bat ecologists when investing in top-of-the-range equipment to allow them to deliver their roles successfully. We encourage applications from ecologists who have an interest in technological advancements and who are keen to keep on top of the latest developments and guidance. The role will require site work and some travel dependent on location of projects. However, we operate fully flexible, hybrid working which allows our ecologists to choose where, how and when they work, as long as our clients are receiving the high-quality service they expect. We focus on talent and skills, not postcode. Key Responsibilities • Survey Work, Design and Fee Proposal:Design ecological surveys using industry guidance and prepare fee proposals for projects. Conduct specialist bat surveys and support other protected species projects. Survey work will involve a mix of daytime and night-time based work. The individual will be responsible for coordinating survey schedules and project resources effectively., • Data Analysis, Report Writing and Quality Assurance:Accurately analyse bat data, produce high-quality, detailed reports and mitigation strategies, including and successfully obtaining bat mitigation licences. Experience preparing Ecology chapters for Environmental Impact Assessments and Habitat Regulations Assessment would be an advantage., • Task and Project Management:Actively manage delivery of a task within a project or fulfil the role as a Project Manager (after receiving Tetra Tech bespoke project management training), from inception to completion ensuring timelines, budgets and quality standards are met., • Client Engagement:Work closely with clients, including developers, planners and internal colleagues to provide ecological advice and solutions. Build, develop and maintain strong relationships with clients ensuring clear communication and excellent service., • Team Development:Mentor and inspire junior team members across the national team and provide training and on-site guidance to develop other team members in bat ecology and support them on their journey to obtaining their bat licence., • An appropriate academic qualification in a related discipline, • Natural England Class 2 bat licence and/or equivalent for Scotland, Wales, Northern Ireland, ROI, • Bat Earned Recognition Registered Consultant at any Level preferable (but Level 2 and 3 ideally) or eligible to apply to become a Registered Consultant Over 90+ permanent ecologists, including BER Registered Consultants, roost visitor and low-impact licence holders across 14 offices, working as one cohesive team. • IT systems allow seamless remote and flexible working, so proximity to an office is not a barrier., • Cars or car allowances to every member of the team regardless of grade, including for personal use., • Established TOIL system to allow time management to suit specific personal needs alongside seasonal demands., • Career pathway frameworks provide clarity on how to progress., • We encourage the development of well-rounded ecologists who can talk about all stages of a project., • We offer internal and external training and mentoring, including from our in-house experts., • We award a significant financial bonus to anyone achieving Chartered Ecologist status through CIEEM., • We work closely with many other teams, including our own Planners, Archaeologists, Landscape Architects, Masterplanners and Engineers. We take pride in delivering projects effectively for clients. This often requires colleagues to be together- in offices or on site to ensure the best outcomes. However, when possible, we also advocate for flexibility around how, when, and where you work. There is no 'one approach fits all' each team manages their own way of working, we trust our employees and focus on outputs not inputs. Meeting up with colleague and clients face to face in office environments or on site is important for collaboration, face-to-face meetings, appraisals and development. Inclusion At Tetra Tech, we want everyone to feel like they truly belong. Our goal is to create aworkplace where every person is valued and respected for who they are. Everyone is welcome at Tetra Tech. Opportunities and success should only be determined by attitude, capability and collaborative spirit. Be yourself, without apology. For more information on our company, please visit our website . To apply, please submit your resume and cover letter on the Careers portion of our website at Tetra Tech Europe Careers - Jobs (selectminds.com) Tetra Tech is an equal opportunities employer and encourages applications from all suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity/shared parental leave, in line with the Equalities Act 2010. JBRP1_UKTJ

Opportunity Overview The role of Senior Technician (Aerodynamics) is key to ensuring that students within SSEE can receive the best student experience possible in the degree programmes that encompass Aeronautical & Mechanical Engineering as well as supporting students from other degree programmes where required. The successful candidate will provide positive, proactive support to ensure the safe and efficient operation of a range of fluid flow and thermo-fluid systems including wind tunnels, simple gas turbines and compressors. The role holder will take responsibility for the daily operations of the Aeronautical & Mechanical Engineering Laboratory and associated facilities and equipment, support the provision of taught laboratory classes and enable research and project work including working with CAD and manufacturing of testing models, in particular wind tunnel models. The successful candidate will contribute to maintaining high standards of laboratory safety, sustainability, and operational excellence. As part of a collaborative team, the role holder may also be expected to provide support across other areas to ensure a seamless and efficient service. We are particularly interested to hear from candidates who also have experience in one or more of the following areas: 3D printing and design, manufacturing test models, maintaining experimental systems and experience working with thermo-fluid systems. Some knowledge and experience of the aerospace industry would also be desirable. Note this opportunity may close early depending on applications volume. Key Responsibilities • Specialist advice - Maintains expert level knowledge in one or more identifiable specialisms. Provides advice in their specialist area(s). Maintains knowledge in one or more identifiable specialisms. Recognises and identifies the boundaries of their own specialist knowledge., • Equipment maintenance – Liaising with technician management staff prioritise equipment maintenance. Investigates causes of equipment issues and seeks resolution following department procedure. Escalates unresolved issues. Documents and closes equipment maintenance incidents according to university procedures. The University’s School of Science, Engineering and Environment (SSEE) SSEE is a large multi-disciplinary School comprising around 400 staff, including around 50 highly skilled technicians and approximately 4500 students studying on a range of taught and research programmes at BSc, BEng, MEng, MSc, MPhil and PhD level. SSEE embraces subjects as diverse as Zoology, Parasitology, Mathematics, Computer Science, Engineering, Geography, Biomedical Science, Architecture and Construction Management, in a range of locations on the Peel Park campus. What's in it for you? • Competitive salary - and excellent pension scheme, • An impressive 32 days leave - plus bank holidays, additional time off at Christmas and the opportunity to buy even more!, • Flexible working - we support a culture of flexible and agile working to help you find the right balance, • Professional development - we offer a comprehensive package of training and development opportunities to help you achieve your full potential, • Our community - there's a real sense of belonging here at Salford. We value diversity, in backgrounds and in experiences. Our difference makes us stronger, and together we share a passion for improving students' lives

Immunocore (NASDAQ: IMCR) is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our leaders in R&D are internationally recognised as some of the biotech industry's most successful drug developers. We are creating not just an environment where great minds can interact but an innovation powerhouse answering the big questions. Focused on delivering first-in-class biological therapies to patients, we have developed a highly innovative soluble TCR platform. Our ImmTAX molecules underpin a new generation of precision engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases. At Immunocore, we recognize that our employees are our greatest asset. We value the unique contributions each person brings to our team. By embracing Science, Trust, Respect, Integrity, Diversity, and Entrepreneurship (STRIDE), we create an environment where collaboration thrives, ideas flourish, and transformative changes happen. STRIDE represents more than just letters; it embodies our shared identity and drives our mission. We are dedicated to developing breakthrough therapies that transform patients' lives, advancing medicine, and supporting one another in these pursuits. Immunocore is proud to be an equal opportunity employer. As such, we are committed to fostering an inclusive workplace where everyone feels valued, respected, and empowered. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, or any other characteristic protected by law. The primary purpose of this role is to contribute to cross functional efforts focused on applying the ImmTAX® platform or other modalities to the development of novel treatments for chronic infections, including HIV and HBV and EBV-associated diseases. The team is involved in multiple stages of the drug discovery and development process, from target discovery all the way to clinical trials. Examples of key preclinical research are published in Yang H et al., Mol Ther. 2016; 24,11; Fergusson J et al., Hepatology 2020; 72,5; Wallace Z et al., Mol Ther 2024; 32, 678. The postholder will plan, design and execute experimental investigations to support the advancement of the Company pipeline, processes and technology capabilities, with guidance from their manager, ensuring that project goals are met within time and budget constraints. They will be expected to demonstrate technical proficiency, rigour in assessing their own data and that of others, scientific creativity and independent thought. This position requires participation and presentation of results at internal meetings, sharing information learned at external scientific meetings and establishing productive relationships with colleagues across Research and other departments. Key Responsibilities: • With instruction and guidance from manager - plan, design, and execute assignments to meet project goals within defined timeframes, • Execute experiments to address key scientific questions and enable project progression, utilizing range of molecular and cellular techniques including some of the following: NextGen sequencing, DD-PCR, qPCR, cell culture, flow cytometry, ELISpots, ELISAs,, • Some work will be conducted in a containment level 3 (CL3 facility) and will require handling of human viruses, • Analyse data, interpret results, and make recommendations, • Proactively expand scientific/technical knowledge in relevant fields including HIV/HBV/EBV related disease biology and drug development through review of scientific literature/ conference updates, peer to peer mentoring, and attendance at seminars/conferences in line with company strategy, • Work effectively in a matrixed team structure and as part of cross functional teams, • Participate and present results at internal meetings, • Establish relationships and possible collaborations within and outside of the company Education, Experience and Knowledge: Essential Qualifications: • PhD in molecular biology, cell biology, genomics, virology, immunology, or related discipline and 0-2 years related experience, • Alternatively, a BSc or MSc with significant work experience in relevant scientific areas Preferred Qualifications: • Knowledge/expertise of Immunology/HIV/HBV/EBV, • Flow cytometry, ELISAs, ELISpots, • Viral integration site analysis

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Starting Salary: £49017 - £57472 per annum plus benefitsTo find out more about the job please click the ‘apply for job’ button to be taken to Imperial job site About the roleAre you interested in working at the interface of climate science and law, and motivated to advance interdisciplinary r

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