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• We are accepting applications from varying seniority levels, from Graduate to Principal Engineer, and will adjust terms accordingly. About Amodo Amodo is a hardware engineering company building the 21st century's most important technologies. Our team of mechanical, electronic, firmware, and software engineers are trusted by world-leading startups, universities, governments and philanthropists to solve pressing technical challenges. See who they are on our website - including MIT, Cambridge, Oxford, Imperial, ARIA and Rand Corp. We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range. We value drive, culture fit, and a track-record of engineering excellence and above all else, but the below competencies, interests, and attributes are extremely desirable: • Strong background in embedded software development, • Strong experience writing and deploying production firmware for Microprocessors, • FPGA experience, • Experience with electromechanical systems, control loops and kinematics Benefits • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range., • Strong background in electronic design - component selection, schematic design, PCB layout, and component procurement, • Experience with hand THT and SMD PCB assembly and modifications, • Producing embedded firmware (C/C++), • Familiarity with mechanical design, • SPICE and/or RF simulation experience, • Experience balancing functional electronic design requirements with additional constraints (such as thermal, mechanical, and power requirements etc.), • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

The Company At Southern Scientific, we're passionate about our work, customers, people, and our culture. We specialise in supplying radiation detection equipment for the Nuclear, Medical, Security, Defence, Industrial & Research sectors. We are continuously aiming to be the very best by delivering high-quality products and exceptional service at an international level. We were recognised recently when we received the prestigious King’s Award for Enterprise in International Trade as part of the LabLogic Group. Join our collaborative and supportive team at Southern Scientific, where we're committed to our core values of being Passionate and Driven, Accountable, Respectful and Inclusive, promoting a Family Atmosphere, being Efficient, Customer-Focused, and Trustworthy. Here, benefits like our annual Center Parcs trip and race days foster positive working relationships, making Southern Scientific more than just a workplace; it's a rewarding journey in a globally acclaimed organisation. The Role We are looking for a candidate to join our team as a Sales Executive/Product Specialist. The role is primarily within the nuclear medicine and Radiopharmacy sectors with a potential for further development within other parts of our business. As part of the sales team, you will be provided training and support and you will be mentored and managed by a senior colleague with extensive experience in this field helping you to take our growth to the next level. Your role will initially involve covering the UK market selling radiation monitors, safety products and consumables. As you develop, your area of responsibility will increase and include distributor management. While the role is initially predominantly UK based, there will be an element of international travel required to fulfil the role. In the fulness of time you will understand our product portfolio to the extent that you will be a solution provider to our customers. With a broad understanding of the different parts of our business and the products we represent and develop, you will become an integral part of the sales team and will be responsible for your own area of the business. In this position you will also work closely with other departments to develop the product customer base, increasing awareness of your products and providing an excellent overall customer experience. You will be provided with a company car, laptop, and mobile phone to assist you in your role. Responsibilities • Keep current and future customers happy and satisfied with our services, • Provide support and product information to customers, • Look for new opportunities within your sector, • Keep customer records accurate and up to date using the Company CRM, including brief reports of all visits, • Attending and presenting at trade shows both with colleagues and individually, • Carrying out regular site visits within the territory, • Achieving and growing total revenue consistent with company and individual goals The above list is not exhaustive and, as such, you may be required to undertake other duties as appropriate. Requirements Essential • Degree level qualification in a medically relevant science (chemistry, biochemistry, pharmacology, physics etc.), • Personable and approachable, • Good presentation skills and telephone manner, • Organised, • Self-driven and independent, • Have a Full UK drivers licence and comfortable with extensive travel and time away from home, • Close commutable distance the LabLogic Group headquarters in Sheffield Desirable • Sales experience, • Knowledge of radiation and radiation detection systems (this could be a physics course, previous work in a relevant field or a topic you are passionate about), • Experience within a Nuclear Medicine or Radiophamacy department, • Knowledge of the NHS, specifically nuclear medicine and/or purchasing Benefits • Holiday – Bank holidays plus 24 days (increasing over service) + additional day off over Christmas, • UK team building weekend at Center Parcs for employees and their families to attend., • Private medical insurance with BUPA, • Scottish Widows pension scheme, • Death in service policy, • Gym membership, • Cycle to work scheme

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.

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

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)

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.

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.

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).

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!

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

Toxicology Consultant Location: Hybrid, expectation to attend site as and when required Salary: £53,000 - £65,000 per annum, DOE + Excellent Benefits! Hours: 40 hours per week, Monday - Friday Contract: Full time, Permanent Benefits: Annual Bonus: £1,200 based on company and personal performance, Holidays: 25 days plus statutory holidays (option to purchase additional week), Broughton Day: Option for a fixed day off every 2-3 weeks via salary sacrifice, Pension: Auto-enrolment, Life Insurance: 2x death in service and Healthcare: Cash plan Broughton's mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. At Broughton, you'll be part of a team that values scientific excellence and innovation. We work on projects that make a real difference to public health, supporting clients in bringing safe, effective products to market. We are seeking a Toxicology Consultant to act as a subject matter expert within Broughton. In this role, you will provide specialist toxicological advice, guide regulatory strategies, and support the development of submissions and scientific assessments across our core areas of nicotine, cannabinoids and pharmaceuticals. The position requires strong applied toxicology expertise, sound scientific judgement, and the ability to contribute to client discussions with clarity and authority. As our Toxicology Consultant, you will: • Provide expert toxicology advice and guidance to clients and internal teams., • Support the preparation and review of regulatory dossiers for client projects., • Coach and mentor less experienced toxicologists within the team., • Prepare toxicology profiles and conduct hazard assessments, including in silico evaluations and expert reviews., • Support the development of systematic literature reviews., • Critically assess primary toxicology studies, summarising findings, strengths and limitations., • Conduct quantitative human health risk assessments for both individual chemicals and mixtures., • Author expert opinion reports and provide senior review of toxicology deliverables., • Attend relevant toxicology conferences and present on key topics where appropriate., • Work with Business Development to support new enquiries, contribute to statements of work, and attend client meetings., • Collaborate with Marketing on technical content to support visibility of the toxicology team., • Maintain awareness of global regulatory guidelines and industry standards., • Degree in Toxicology or a related scientific field., • Minimum of 10 years' experience in applied toxicology and risk assessment., • Proven experience conducting risk assessments., • Strong technical writing and scientific communication skills., • Demonstrable project management capability., • PhD in Toxicology., • Background in nicotine-related toxicology., • Experience authoring or co-authoring academic publications., • Experience using computational modelling tools (e.g., OECD Toolbox, ToxTree, Lhasa). If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please. JBRP1_UKTJ

Radio Frequency Modeller/Analyst Permanent Full Time On-site Based:Porton Down, Salisbury • £40,000 - £60,000 -Dependant on experience, • 25 days annual leave inclusive of up to 3 days Christmas shutdown, • Buy or sell up to 5 days annual leave, • Two pension schemes to choose from, • Private Medical Insurance + discounts for additional family members, • Life Assurance scheme up to 4 x salary, • Share Save scheme, • Electric/Hybrid Car leasing scheme, • Cycle to work scheme, • Retail discounts, • Career development support Our Electronic Warfare Operations Support (EWOS) Group is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists and ex-military personnel combine their experience to help our customers achieve their true operational potential and ultimately help keep their people and platforms safe. How youll support us Working on-site, embedded within our customer team, you will be offering your expertise on Radio Frequency (RF) modelling and simulation, using ground-breaking science to support the UKs front-line defence. There are two main areas of modelling and analysis which the role will be working on. First, the continued design, development, and operation of software used to verify and validate EW systems across industry partners. The second area of model development and analysis is used to assess novel EW techniques and their effectiveness, with outputs being used to plan future trials. Whilst the two areas specified above will be the immediate priority work, beyond this there are lots of opportunity to be involved in other research, development, testing, analysis, and validation activities across the air platform/mission survivability modelling and simulation domain. This unparalleled access through our customer will help accelerate you as a Subject Matter Expert (SME), allowing you to branch into specialisms as your career progresses. The invaluable experience youll bring, to help us achieve more Working within the Air countermeasure team you will have access to a variety of projects, covering modelling & simulation in software, synthetic, and real-world environments. Your understanding of radar processing, operation, and doctrine will help to generate verified models that inform concept development and assessment. Experience in a related field is valued greatly! Essential: • Degree level or equivalent in a Science or Engineering discipline (e.g. Maths, Physics or Engineering)., • Knowledge of model and simulations techniques to real-world scenarios., • Experience in the development of models and tools in order to provide evidence data (MATLAB, Python, or C++)., • Providing analysis and writing reports from the outputs of simulation runs. Desirable: • Digital signal processing techniques used in EW systems., • RF domain knowledge and/or RF modelling experience (e.g. RF environments, RF Threat system understanding, RF countermeasure development)., • Experience verifying and validated software (unit and system levels)., • Experience in running simulations, developing and running models on a Linux Operating System and common Linux tools (BASH, PERL)., • Knowledge of Tactics, Techniques, and Procedures (TTPs) of EW capability within the Air domain., • Knowledge of version/source control software (Git, Bitbucket)., • Interest in cutting-edge technologies. Our non-negotiables: • Due to the highly secure environment that our work is conducted in, youmustbe a UK National, eligible to work and live in the UKandbe eligible to undergo and maintain appropriate UK governmentSC Security Clearance. Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so youre ready for digital transformation. Apply todayto see how working for MASS could work for you! MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact. JBRP1_UKTJ

Storytellers/Guest Services – The Loch Ness Centre- Drumnadrochit-Inverness We are looking for passionate, engaging individuals to become part of our Storytellers/Guest Services team and help us create unforgettable moments for our guests. Join us as we walk guests through 500 million years of Loch Ness history. Our guests delve deeper into the real places, people, stories, and scientific research that has turned Nessie into an iconic Scottish legend. As a Storyteller/Guest Services Team Member, you'll play a central role in bringing the stories, science and magic of Loch Ness to life. Whether you're welcoming guests at the start of their adventure, answering enquiries and supporting admissions, or leading dynamic guided tours, you'll help ensure each visitor enjoys a warm, memorable and immersive experience. These seasonal positions will be active between March and September of 2026 with a selection of different hours. Through our exceptional, bespoke training program you will have the skills to deliver memorable and enjoyable guided tours, deliver guest engagement across the attraction and work as a team to provide every guest with an exceptional experience. The Ideal Candidate You will be confident engaging with groups and have the desire to bring a genuine passion to the storytelling, and share the tales of Nessie with warmth, energy and enthusiasm. You will have the ability adapt to the needs of each guest, whether delivering the scripted tour with confidence and flair or helping visitors explore the attraction with ease. Every interaction you have contributes to the journey we promise—one that is engaging, informative and full of wonder. A genuine desire to learn, grow and continually develop your knowledge of Loch Ness is essential, as you will regularly interact with guests who are eager to ask questions and explore the stories behind the legend. You must have the flexibility to work weekends and bank holidays. What We Offer • Cash back on your medical costs, • An additional day off for your birthday, • Shopping discounts and much more… Contract: 0 hours contract-6 months March to September Hourly pay rate: £13.45 If you are passionate about storytelling, have an interest in the Loch Ness legend, thrive in a guest-facing environment and want to help shape unforgettable moments at one of Scotland's most iconic attractions, we'd love to hear from you. You may be a student seeking flexible hours, a creative soul looking for an inspiring environment, or someone eager to be part of something truly special—we have opportunities designed to fit your life. Loch Ness has a story. Now it's your turn! 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

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.

• Hours of work: Full time, • Contract Type: Permanent, • Salary: £46,556 - £53,882 per annum, depending on skills and experience [Band E], • Directorate: IT, • Location: Kew Gardens, Richmond, Hybrid Educated to degree level in IT/Computer Science, or with equivalent professional experience, you will bring at least 23 years experience supporting either Microsoft Dynamics 365 Finance & Supply Chain Management or Dynamics 365 Customer Engagement applications within a structured IT environment. You will have strong functional troubleshooting, configuration and user support experience, together with a good understanding of end-to-end business processes such as finance, retail, sales, customer service or membership. Exposure to ITIL practices, particularly incident, problem and change management, would also be important. We are looking for someone who is analytical, proactive and collaborative, with the confidence to manage competing priorities and communicate clearly with both technical and non-technical colleagues. You should be comfortable working with a good degree of autonomy while building strong relationships across teams, suppliers and stakeholders. Experience across both D365 F&SCM and D365 CE, familiarity with PowerApps and Power Automate, and knowledge of SQL, Azure DevOps, LCS, data integrations or Microsoft functional certifications would all be advantageous. This role is based at Kew with the option of regular home working, subject to operational requirements. The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth. We are working to end the unprecedented extinction crisis and to help create a world where nature is protected, valued by all and managed sustainably. We will achieve these goals by drawing on our leading scientific research, unrivalled collections of plants and fungi, global network of partners, inspirational gardens at Kew and Wakehurst, and our 260 years of history. Join us on our journey as protectors of the worlds plants and fungi. The salary for this position is£46,556 - £53,882 per annum, depending on skills and experience [Band E] Our fantastic benefits package includesopportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership.We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst. If you are interested in this position, please submit your application through the online portal, by clicking Apply. We are dedicated to equality of opportunity and welcome applications from all sections of the community. We are committed to interview disabled applicants who meet the essential criteria for the post. No agencies please. JBRP1_UKTJ

Apsida Life Science have partnered with a leading biotech and research company to present the following role:. Apsida Life Science is a specialist recruitment business based in London (UK), Redhill (UK), Boston (USA) & Pretoria (South Africa) that is dedicated to delivering the best talent to the Li

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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A prestigious university in London is seeking a full-time LSE Fellow in Sustainability to contribute to teaching and research in a leading geography and environment department.

A leading engineering consultancy in the UK seeks a Senior/Principal Electrical Engineer for their Science and Research team in London.

The Director of Data Science, AI and Research leads our outstanding Data Insights Team which has expertise across data engineering, analytics, data science, machine learning, generative AI, and psychology, and works to provide insights which enhance our services and which we share with others in the

As a Senior or Principal Engineer in the Science & Research team you will lead and deliver electrical designs for a wide range of science and research projects of varying scales and complexities. You will collaborate with specialist engineers and consultants on technically complex laboratory, resear